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Crespo-Gonzalez C, Hodgins M, Zurynski Y, Meyers Morris T, Le J, Wheeler K, Khano S, Germano S, Hiscock H, Lingam R. Advancing integrated paediatric care in Australian general practices: Qualitative insights from the SC4C GP-paediatrician model of care. PLoS One 2024; 19:e0302815. [PMID: 38771818 PMCID: PMC11108132 DOI: 10.1371/journal.pone.0302815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/14/2024] [Indexed: 05/23/2024] Open
Abstract
The Strengthening Care for Children (SC4C) is a general practitioner (GP)-paediatrician integrated model of care that consists of co-consulting sessions and case discussions in the general practice setting, with email and telephone support provided by paediatricians to GPs during weekdays. This model was implemented in 21 general practices in Australia (11 Victoria and 10 New South Wales). Our study aimed to identify the factors moderating the implementation of SC4C from the perspectives of GPs, general practice personnel, paediatricians and families. We conducted a qualitative study as part of the mixed-methods implementation evaluation of the SC4C trial. We collected data through virtual and in-person focus groups at the general practices and phone, virtual and in-person interviews. Data was analysed using an iterative hybrid inductive-deductive thematic analysis. Twenty-one focus groups and thirty-seven interviews were conducted. Overall, participants found SC4C acceptable and suitable for general practices, with GPs willing to learn and expand their paediatric care role. GPs cited improved confidence and knowledge due to the model. Paediatricians reported an enhanced understanding of the general practice context and the strain under which GPs work. GPs and paediatricians reported that this model allowed them to build trust-based relationships with a common goal of improving care for children. Additionally, they felt some aspects, including the lack of remuneration and the work and effort required to deliver the model, need to be considered for the long-term success of the model. Families expressed their satisfaction with the shared knowledge and quality of care jointly delivered by GPs and paediatricians and highlighted that this model of care provides easy access to specialty services without out-of-pocket costs. Future research should focus on finding strategies to ensure the long-term Implementation of this model of care with a particular focus on the individual stressors in general practices.
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Affiliation(s)
- Carmen Crespo-Gonzalez
- Population Child Health Research Group, University of New South Wales, Sydney, NSW, Australia
| | - Michael Hodgins
- Population Child Health Research Group, University of New South Wales, Sydney, NSW, Australia
| | - Yvonne Zurynski
- Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Tammy Meyers Morris
- Population Child Health Research Group, University of New South Wales, Sydney, NSW, Australia
- Sydney Local Health District, Sydney, NSW, Australia
| | - Jane Le
- Murdoch Children’s Research Institute, Health Services and Economics Group, Parkville, Victoria, Australia
| | - Karen Wheeler
- Population Child Health Research Group, University of New South Wales, Sydney, NSW, Australia
- Central and Eastern Sydney Primary Health Network, Sydney, NSW, Australia
| | - Sonia Khano
- Murdoch Children’s Research Institute, Health Services and Economics Group, Parkville, Victoria, Australia
| | - Stephanie Germano
- North Western Melbourne Primary Health Network, Parkville, Victoria, Australia
| | - Harriet Hiscock
- Murdoch Children’s Research Institute, Health Services and Economics Group, Parkville, Victoria, Australia
- Professorial Fellow, Department of Paediatrics, The University of Melbourne
| | - Raghu Lingam
- Population Child Health Research Group, University of New South Wales, Sydney, NSW, Australia
- Sydney Children’s Hospitals Network, Sydney, New South Wales, Australia
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Starr M. Towards national paediatric clinical practice guidelines. Med J Aust 2024; 220:392-393. [PMID: 38532300 DOI: 10.5694/mja2.52272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/22/2023] [Indexed: 03/28/2024]
Affiliation(s)
- Mike Starr
- Royal Children's Hospital, Melbourne, VIC
- University of Melbourne, Melbourne, VIC
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Slawomirski L, Hensher M, Campbell J, deGraaff B. Pay-for-performance and patient safety in acute care: A systematic review. Health Policy 2024; 143:105051. [PMID: 38547664 DOI: 10.1016/j.healthpol.2024.105051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 04/20/2024]
Abstract
Pay-for-performance (p4p) has been tried in all healthcare settings to address ongoing deficiencies in the quality and outcomes of care. The evidence for the effect of these policies has been inconclusive, especially in acute care. This systematic review focused on patient safety p4p in the hospital setting. Using the PRISMA guidelines, we searched five biomedical databases for quantitative studies using at least one outcome metric from database inception to March 2023, supplemented by reference tracking and internet searches. We identified 6,122 potential titles of which 53 were included: 39 original investigations, eight literature reviews and six grey literature reports. Only five system-wide p4p policies have been implemented, and the quality of evidence was low overall. Just over half of the studies (52 %) included failed to observe improvement in outcomes, with positive findings heavily skewed towards poor quality evaluations. The exception was the Fragility Hip Fracture Best Practice Tariff (BPT) in England, where sustained improvement was observed across various evaluations. All policies had a miniscule impact on total hospital revenue. Our findings underscore the importance of simple and transparent design, involvement of the clinical community, explicit links to other quality improvement initiatives, and gradual implementation of p4p initatives. We also propose a research agenda to lift the quality of evidence in this field.
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Affiliation(s)
- Luke Slawomirski
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia.
| | - Martin Hensher
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
| | - Julie Campbell
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
| | - Barbara deGraaff
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
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Mehl C, Müller T, Nau T, Bachmann C, Geraedts M. [Development of an indicator set for the evaluation of the quality of routine ambulatory health care for common disorders in children and adolescents]. ZEITSCHRIFT FUR EVIDENZ, FORTBILDUNG UND QUALITAT IM GESUNDHEITSWESEN 2024; 186:69-76. [PMID: 38631959 DOI: 10.1016/j.zefq.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/28/2024] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND In Germany, no consented quality indicator set (QI set) exists to date that can be used to assess the quality of pediatric care. Therefore, the aim of the project "Assessment of the quality of routine ambulatory health care for common disorders in children and adolescents" (QualiPäd) funded by the Innovation Committee of the Federal Joint Committee (grant no.: 01VSF19035) was to develop a QI set for the diseases asthma, atopic eczema, otitis media, tonsillitis, attention-deficit hyperactivity disorder (ADHD), depression and conduct disorder. METHODS For the observation period 2018/2019, quality indicators (QIs) were searched in indicator databases, guidelines and literature databases and complemented in part by newly formulated QIs (e.g., derived from guideline recommendations). The QIs were then assigned to content categories and dimensions according to Donabedian and OECD and reduced by removing duplicates. Finally, a panel of experts consulted the QIs using the modified RAND-UCLA Appropriateness Method (RAM). RESULTS The search resulted in a preliminary QI set of 2324 QIs. After the reduction steps and the evaluation of the experts, 282 QIs were included in the QI set (asthma: 72 QIs, atopic eczema: 25 QIs, otitis media: 31 QIs, tonsillitis: 12 QIs, ADHD: 53 QIs, depression: 43 QIs, conduct disorder: 46 QIs). The QIs are distributed among the following different categories: Therapy (138 QIs), Diagnostics (95 QIs), Patient-reported outcome measures/Patient-reported experience measures (PROM/PREM) (45 QIs), Practice management (31 QIs), and Health reporting (4 QIs). In the Donabedian model, 89% of the QIs capture process quality, 9% outcome quality, and 2% structural quality; according to the OECD classification, 61% measure effectiveness, 23% patient-centeredness, and 16% safety of care. CONCLUSION The consented QI set is currently being tested and can subsequently be used (possibly modified) to measure the quality of routine outpatient care for children and adolescents in Germany, in order to indicate the status quo and potential areas for improvement in outpatient care.
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Affiliation(s)
- Claudia Mehl
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland.
| | - Teresa Müller
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
| | - Thorsten Nau
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
| | - Christian Bachmann
- Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Max Geraedts
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
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Alghamdi S, Dixon N, Al-Senani F, Al Aseri Z, Al Saif S, AlTahan T. Effects of a team Quality Improvement method in a national clinical audit programme of four clinical specialties in Ministry of Health hospitals in Saudi Arabia. Int J Qual Health Care 2024; 36:mzad107. [PMID: 38153764 PMCID: PMC10842466 DOI: 10.1093/intqhc/mzad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/29/2023] [Accepted: 12/24/2023] [Indexed: 12/29/2023] Open
Abstract
In 2018, the Ministry of Health (MoH) in Saudi Arabia developed a clinical excellence strategy. An objective was to reduce variation in clinical practices in MoH hospitals, particularly for conditions with high mortality in Saudi Arabia, by applying best practice clinical standards and using the clinical audit process to measure clinical practice. The strategy included working with multiprofessional teams in hospitals to implement improvements needed in clinical practice. To test the feasibility of carrying out national clinical audits in MoH hospitals, audits were carried out in 16 MoH hospitals on four clinical subjects-acute myocardial infarction, major trauma, sepsis, and stroke. Clinical expert groups, including Saudi clinicians and an international clinical expert, developed clinical care standards for the four conditions from analyses of international and Saudi clinical guidelines. The audits were designed with the expert groups. Multiprofessional teams were appointed to carry out the audits in designated MoH hospitals. Data collectors in each hospital were trained to collect data. Workshops were held with the teams on the clinical care standards and how data would be collected for the audits, and later, on the findings of data collection and how to use the improvement process to implement changes to improve compliance with the standards. After 4 months, data collection was repeated to determine if compliance with the clinical care standards had improved. Data collected from each hospital for both cycles of data collection were independently reliably tested. All designated hospitals participated in the audits, collecting and submitting data for two rounds of data collection and implementing improvement plans after the first round of data collection. All hospitals made substantial improvements in clinical practices. Of a total of 84 measures used to assess compliance with a total of 52 clinical care standards for the four clinical conditions, improvements were made by hospital teams in 58 (69.1%) measures. Improvements were statistically significant for 34 (40.5%) measures. The project demonstrated that well-designed and executed audits using evidence-based clinical care standards can result in substantial improvements in clinical practices in MoH hospitals in Saudi Arabia. Keys to success were the improvement methodology built into the audit process and the requirement for hospitals to appoint multiprofessional teams to carry out the audits. The approach adds to evidence on the effectiveness of clinical audits in achieving improvements in clinical quality and can be replicated in national audit programmes.
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Affiliation(s)
- Saleh Alghamdi
- Clinical Excellence General Directorate, Ministry of Health, Riyadh 14726, Saudi Arabia
| | - Nancy Dixon
- Healthcare Quality Quest, Shelley Farm, Shelley Lane, Ower, Romsey, Hampshire SO51 6AS, United Kingdom
| | - Fahmi Al-Senani
- Stroke Saudi Clinical Expert Group, Model of Care Programme, Ministry of Health, Riyadh 11525, Saudi Arabia
| | - Zohair Al Aseri
- Sepsis Saudi Clinical Expert Group, Departments of Emergency and Critical Care, College of Medicine, King Saud University and Department of Clinical Sciences, College of Medicine, Riyadh Hospital, Dar Al Uloom University, Adult ICU services, Ministry of Health, Riyadh 145111, Saudi Arabia
| | - Shukri Al Saif
- Myocardial Infarction Saudi Clinical Expert Group, Eastern Health Cluster, Saudi Al-Babtain Cardiac Centre, Qatif, Dammam 32632, Saudi Arabia
| | - Talal AlTahan
- Major Trauma Saudi Clinical Expert Group, Prince Mohammed Bin Abdulaziz Hospital, Riyadh 14214, Saudi Arabia
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Hibbert PD, Molloy CJ, Cameron ID, Gray LC, Reed RL, Wiles LK, Westbrook J, Arnolda G, Bilton R, Ash R, Georgiou A, Kitson A, Hughes CF, Gordon SJ, Mitchell RJ, Rapport F, Estabrooks C, Alexander GL, Vincent C, Edwards A, Carson-Stevens A, Wagner C, McCormack B, Braithwaite J. The quality of care delivered to residents in long-term care in Australia: an indicator-based review of resident records (CareTrack Aged study). BMC Med 2024; 22:22. [PMID: 38254113 PMCID: PMC10804560 DOI: 10.1186/s12916-023-03224-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND This study estimated the prevalence of evidence-based care received by a population-based sample of Australian residents in long-term care (LTC) aged ≥ 65 years in 2021, measured by adherence to clinical practice guideline (CPG) recommendations. METHODS Sixteen conditions/processes of care amendable to estimating evidence-based care at a population level were identified from prevalence data and CPGs. Candidate recommendations (n = 5609) were extracted from 139 CPGs which were converted to indicators. National experts in each condition rated the indicators via the RAND-UCLA Delphi process. For the 16 conditions, 236 evidence-based care indicators were ratified. A multi-stage sampling of LTC facilities and residents was undertaken. Trained aged-care nurses then undertook manual structured record reviews of care delivered between 1 March and 31 May 2021 (our record review period) to assess adherence with the indicators. RESULTS Care received by 294 residents with 27,585 care encounters in 25 LTC facilities was evaluated. Residents received care for one to thirteen separate clinical conditions/processes of care (median = 10, mean = 9.7). Adherence to evidence-based care indicators was estimated at 53.2% (95% CI: 48.6, 57.7) ranging from a high of 81.3% (95% CI: 75.6, 86.3) for Bladder and Bowel to a low of 12.2% (95% CI: 1.6, 36.8) for Depression. Six conditions (skin integrity, end-of-life care, infection, sleep, medication, and depression) had less than 50% adherence with indicators. CONCLUSIONS This is the first study of adherence to evidence-based care for people in LTC using multiple conditions and a standardised method. Vulnerable older people are not receiving evidence-based care for many physical problems, nor care to support their mental health nor for end-of-life care. The six conditions in which adherence with indicators was less than 50% could be the focus of improvement efforts.
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Affiliation(s)
- Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia.
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
- South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia.
| | - Charlotte J Molloy
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, North Terrace, Adelaide, SA, 5000, Australia
- South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia
| | - Ian D Cameron
- John Walsh Centre for Rehabilitation Research, Northern Sydney Local Health District, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Reserve Rd, St Leonards, NSW, 2065, Australia
| | - Leonard C Gray
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital Campus, Woolloongabba, QLD, 4102, Australia
| | - Richard L Reed
- Discipline of General Practice, College of Medicine and Public Health, Flinders University, Sturt Rd, Bedford Park, SA, 5042, Australia
| | - Louise K Wiles
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, North Terrace, Adelaide, SA, 5000, Australia
| | - Johanna Westbrook
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Rebecca Bilton
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Rd, Bedford Park, SA, 5042, Australia
| | - Ruby Ash
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Andrew Georgiou
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Alison Kitson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Rd, Bedford Park, SA, 5042, Australia
| | - Clifford F Hughes
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Susan J Gordon
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Rd, Bedford Park, SA, 5042, Australia
| | - Rebecca J Mitchell
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
| | - Carole Estabrooks
- Faculty of Nursing, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue, Edmonton, AB, T6G 1C9, Canada
| | | | - Charles Vincent
- Department of Experimental Psychology, Radcliffe Observatory, University of Oxford, Woodstock Road, Oxford, OX2 6GG, England, UK
| | - Adrian Edwards
- PRIME Centre Wales & Division of Population Medicine, Cardiff University, 8Th Floor Neuadd Meirionnydd, Heath Park, Cardiff, Wales, CF14 4YS, UK
| | - Andrew Carson-Stevens
- PRIME Centre Wales & Division of Population Medicine, Cardiff University, 8Th Floor Neuadd Meirionnydd, Heath Park, Cardiff, Wales, CF14 4YS, UK
| | - Cordula Wagner
- Netherlands Institute for Health Services Research, Otterstraat 118, Utrecht, 3513 CR, The Netherlands
- Amsterdam University Medical Center/VU University, Van Der Boechorststraat 7, 1081 HV, Amsterdam, The Netherlands
| | - Brendan McCormack
- The Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, University of Sydney, City Road, Sydney, NSW, 2006, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, Sydney, NSW, 2109, Australia
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Terry D, Peck B, Kloot K. Paediatric Emergency Asthma Presentations: Temporal Trends and Representations in Rural Australia. Healthcare (Basel) 2023; 11:3113. [PMID: 38132002 PMCID: PMC10742987 DOI: 10.3390/healthcare11243113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/28/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
Asthma is a key illness driving children to present to emergency departments, and although paediatric emergency asthma presentations have been examined, the temporal trends remain somewhat elusive. The aim is to highlight, describe, and model the temporal trends of emergency paediatric asthma presentations, using comprehensive hospital emergency presentation data. A retrospective cross-sectional study examined de-identified paediatric (0 to 14 years) emergency asthma presentation data over a three-year period. Data were obtained from nine healthcare facilities in Victoria, Australia. Episode-level data were collected through RAHDaR, a comprehensive emergency data register which includes missing data (35.0%) among rural health facilities not currently captured elsewhere. Monthly presentation rates demonstrate a significant difference in presentations between fall/autumn and spring, and males had higher presentation rates in February and June-August. Emergency presentations were more likely to occur Sunday-Tuesday, peaking in the time periods of 8-9 a.m., 11 a.m.-12 p.m., and 8-9 p.m. Significant differences were noted between all age groups. Examining previously unavailable rural data has highlighted patterns among emergency asthma presentations for children 0-14 years of age. Knowledge of these by season, month, and day of the week, in combination with time of day, offers scope for more focused workforce education and planning, and nuanced referral pathways, particularly in resource-limited settings.
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Affiliation(s)
- Daniel Terry
- School of Nursing and Midwifery, University of Southern Queensland, Ipswich, QLD 4305, Australia;
- Institute of Health and Wellbeing, Federation University, Ballarat, VIC 3350, Australia;
| | - Blake Peck
- Institute of Health and Wellbeing, Federation University, Ballarat, VIC 3350, Australia;
| | - Kate Kloot
- School of Medicine, Deakin University, Warrnambool, VIC 3280, Australia
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Shinjo D, Ozawa N, Nakadate N, Kanamori Y, Matsumoto K, Noguchi T, Ohtera S, Kato H. Development of a set of quality indicators in paediatric and perinatal care in Japan with a modified Delphi method. BMJ Paediatr Open 2023; 7:e002209. [PMID: 37940343 PMCID: PMC10632888 DOI: 10.1136/bmjpo-2023-002209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUNDS Few paediatric and perinatal quality indicators (QIs) have been developed in the Japanese setting, and the quality of care is not assured or validated. The aim of this study was to develop QIs in paediatric and perinatal care in Japan using an administrative database and confirm the feasibility and applicability of the indicators using a single-site practice test. METHODS We used a RAND-modified Delphi method that integrates evidence review with expert consensus development. QI candidates were generated from clinical practice guidelines (CPGs) available in English or Japanese and existing QIs in nine selected paediatric or perinatal conditions. Consensus building was based on independent panel ratings. The performance of QIs was retrospectively assessed using data from an administrative database at the National Children's Hospital. Data between April 2018 and March 2019 were used, while data between April 2019 and March 2021 were also used for selected condition, considering the small number of patients. Each QI was calculated as follows: number of times the indicator was met/number of participants×100. RESULTS From the literature review conducted between 2010 and 2020, 124 CPGs and 193 existing indicators were identified to generate QI candidates. Through the consensus-building process, 133 QI candidates were assessed and 79 QIs were accepted. The practice test revealed wide variations in the process-level performance of QIs in four categories: patient safety: median 43.9% (IQR 16.7%-85.6%), general paediatrics: median 98.8% (IQR 84.2%-100%), advanced paediatrics: median 94.4% (IQR 46.0%-100%) and advanced obstetrics: median 80.3% (IQR 59.6%-100%). CONCLUSIONS We established 79 QIs for paediatric and perinatal care in Japan using an administrative database that can be applied to hospitals nationwide. The practice test confirmed the measurability of the developed QIs. Benchmarking these QIs will be an attractive approach to improving the quality of care.
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Affiliation(s)
- Daisuke Shinjo
- Department of Health Policy and Informatics, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
- Department of Information Technology and Management, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Nobuaki Ozawa
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Naoya Nakadate
- Division of Medical Security and Patient Safety, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Yutaka Kanamori
- Division of Surgery, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Kimikazu Matsumoto
- Children's Cancer Center, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Takashi Noguchi
- Department of Information Technology and Management, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Shosuke Ohtera
- Department of Health Economics, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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Pagano L, Hemmert C, Hirschhorn A, Francis-Auton E, Arnolda G, Long JC, Braithwaite J, Gumley G, Hibbert PD, Churruca K, Hutchinson K, Partington A, Hughes C, Gillatt D, Ellis LA, Testa L, Patel R, Sarkies MN. Implementation of consensus-based perioperative care pathways to reduce clinical variation for elective surgery in an Australian private hospital: a mixed-methods pre-post study protocol. BMJ Open 2023; 13:e075008. [PMID: 37495386 PMCID: PMC10373689 DOI: 10.1136/bmjopen-2023-075008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/28/2023] Open
Abstract
INTRODUCTION Addressing clinical variation in elective surgery is challenging. A key issue is how to gain consensus between largely autonomous clinicians. Understanding how the consensus process works to develop and implement perioperative pathways and the impact of these pathways on reducing clinical variation can provide important insights into the effectiveness of the consensus process. The primary objective of this study is to understand the implementation of an organisationally supported, consensus approach to implement perioperative care pathways in a private healthcare facility and to determine its impact. METHODS A mixed-methods Effectiveness-Implementation Hybrid (type III) pre-post study will be conducted in one Australian private hospital. Five new consensus-based perioperative care pathways will be developed and implemented for specific patient cohorts: spinal surgery, radical prostatectomy, cardiac surgery, bariatric surgery and total hip and knee replacement. The individual components of these pathways will be confirmed as part of a consensus-building approach and will follow a four-stage implementation process using the Exploration, Preparation, Implementation and Sustainment framework. The process of implementation, as well as barriers and facilitators, will be evaluated through semistructured interviews and focus groups with key clinical and non-clinical staff, and participant observation. We anticipate completing 30 interviews and 15-20 meeting observations. Administrative and clinical end-points for at least 152 participants will be analysed to assess the effectiveness of the pathways. ETHICS AND DISSEMINATION This study received ethical approval from Macquarie University Human Research Ethics Medical Sciences Committee (Reference No: 520221219542374). The findings of this study will be disseminated through peer-reviewed publications, conference presentations and reports for key stakeholders.
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Affiliation(s)
- Lisa Pagano
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Cameron Hemmert
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Andrew Hirschhorn
- MQ Health, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Emilie Francis-Auton
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Janet C Long
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Graham Gumley
- MQ Health, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Peter D Hibbert
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Kate Churruca
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Karen Hutchinson
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Andrew Partington
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia
| | - Cliff Hughes
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- MQ Health, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - David Gillatt
- MQ Health, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Louise A Ellis
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Luke Testa
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Romika Patel
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Mitchell N Sarkies
- Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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10
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Harvey G, Rycroft-Malone J, Seers K, Wilson P, Cassidy C, Embrett M, Hu J, Pearson M, Semenic S, Zhao J, Graham ID. Connecting the science and practice of implementation - applying the lens of context to inform study design in implementation research. FRONTIERS IN HEALTH SERVICES 2023; 3:1162762. [PMID: 37484830 PMCID: PMC10361069 DOI: 10.3389/frhs.2023.1162762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/21/2023] [Indexed: 07/25/2023]
Abstract
The saying "horses for courses" refers to the idea that different people and things possess different skills or qualities that are appropriate in different situations. In this paper, we apply the analogy of "horses for courses" to stimulate a debate about how and why we need to get better at selecting appropriate implementation research methods that take account of the context in which implementation occurs. To ensure that implementation research achieves its intended purpose of enhancing the uptake of research-informed evidence in policy and practice, we start from a position that implementation research should be explicitly connected to implementation practice. Building on our collective experience as implementation researchers, implementation practitioners (users of implementation research), implementation facilitators and implementation educators and subsequent deliberations with an international, inter-disciplinary group involved in practising and studying implementation, we present a discussion paper with practical suggestions that aim to inform more practice-relevant implementation research.
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Affiliation(s)
- Gillian Harvey
- Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Jo Rycroft-Malone
- Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Kate Seers
- Warwick Medical School, Faculty of Science, University of Warwick, Coventry, United Kingdom
| | - Paul Wilson
- Centre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom
| | - Christine Cassidy
- School of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Mark Embrett
- Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Jiale Hu
- College of Health Professions, Virginia Commonwealth University, Richmond, VA, United States
| | - Mark Pearson
- Wolfson Palliative Care Research Centre, Hull York Medical School, Hull, United Kingdom
| | - Sonia Semenic
- Ingram School of Nursing, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Junqiang Zhao
- Centre for Research on Health and Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Ian D. Graham
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
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11
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Rosenau PT, Dietrich A, Matthijssen AFM, Kleine-Deters R, van de Loo-Neus GHH, Buitelaar JK, van den Hoofdakker BJ, Hoekstra PJ. Adherence to Clinical Guidelines for Dose Finding and Monitoring Methylphenidate Use: A Medical Record Audit in Child and Adolescent Mental Health Care and Pediatric Settings. J Child Adolesc Psychopharmacol 2023; 33:183-189. [PMID: 37339442 DOI: 10.1089/cap.2022.0095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
Background: Guideline adherence is important to ensure optimal and safe use of methylphenidate for children and adolescents with attention-deficit/hyperactivity disorder (ADHD). We investigated adherence to Dutch guidelines regarding dosing and monitoring of methylphenidate in child and adolescent mental health care and pediatric treatment settings. Methods: Five hundred six medical records of children and adolescents were investigated in 2015 and 2016. We assessed adherence to the following guideline recommendations: (1) at least four visits during the dose-finding phase; (2) monitoring thereafter at least every 6 months; (3) measuring height and weight at least annually; and (4) the use of validated questionnaires to assess treatment response. Pearson's chi-squared test statistics were used to examine differences between settings. Results: Only a small portion of patients had at least four visits during the dose-finding phase (5.1% in the first 4 weeks to 12.4% in the first 6 weeks). Also, less than half of the patients (48.4%) were seen at least every 6 months. Height was recorded at least annually in 42.0% of patients, weight in 44.9%, and both recorded in a growth chart in 19.5%. Questionnaires to assess treatment response were only used in 2.3% of all visits. When comparing both settings, more patients in the pediatric settings were seen every 6 months, although height and weight were recorded more often in the mental health care setting. Conclusion: Overall, guideline adherence was low. Training of clinicians and adding guideline recommendations to electronic medical records templates may improve adherence. Additionally, we should aim to close the gap between guidelines and clinical practice by looking critically at the feasibility of guidelines.
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Affiliation(s)
- Paul T Rosenau
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Accare Child Study Center, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Accare Child Study Center, Groningen, The Netherlands
| | - Anne-Flore M Matthijssen
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Renee Kleine-Deters
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Barbara J van den Hoofdakker
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Accare Child Study Center, Groningen, The Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Accare Child Study Center, Groningen, The Netherlands
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12
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Müller T, Mehl C, Nau T, Bachmann C, Geraedts M. Process over outcome quality in paediatrics? An analysis of outpatient healthcare quality indicators for seven common diseases. BMJ Open Qual 2023; 12:bmjoq-2022-002125. [PMID: 36801819 PMCID: PMC9944293 DOI: 10.1136/bmjoq-2022-002125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/05/2023] [Indexed: 02/19/2023] Open
Abstract
PURPOSE The purpose of this study was to examine the scope, quality dimensions and treatment aspects covered by existing quality indicators (QIs) for the somatic diseases bronchial asthma, atopic eczema, otitis media and tonsillitis as well as the psychiatric disorders attention deficit hyperactivity disorder (ADHD), depression and conduct disorder in paediatrics. METHODS QIs were identified through an analysis of the guidelines and a systematic search of literature and indicator databases. Subsequently, two researchers independently assigned the QIs to the quality dimensions according to Donabedian and Organisation for Economic Cooperation and Development (OECD) and to the content categories covering the treatment process. RESULTS We found 1268 QIs for bronchial asthma, 335 QIs for depression, 199 QIs for ADHD, 115 QIs for otitis media, 72 QIs for conduct disorder, 52 QIs for tonsillitis and 50 QIs for atopic eczema. Of these, 78% focused on process quality, 20% on outcome quality and 2% on structural quality. Using OECD criteria, 72% of the QIs were assigned to effectiveness, 17% to patient-centredness, 11% to patient safety and 1% to efficiency. The QIs covered the following categories: diagnostics (30%), therapy (38%), patient-reported outcome measures/ observer-reported outcome measures/patient-reported experience measures (in sum 11%), health monitoring (11%) and office management (11%). CONCLUSION Most QIs focused on the dimensions of effectiveness and process quality, and on the categories of diagnostics and therapy, with outcome-focused and patient-focused QIs being under-represented. Possible reasons for this striking imbalance could be the easier measurability and clearer assignment of accountability in comparison to the QIs of outcome quality, patient-centredness and patient safety. To produce a more balanced picture of the quality of healthcare, the future development of QIs should prioritise the currently under-represented dimensions.
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Affiliation(s)
- Teresa Müller
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Thorsten Nau
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Christian Bachmann
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
| | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
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13
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Carrigan A, Lake R, Zoungas S, Huynh T, Couper J, Davis E, Jones T, Bloom D, Braithwaite J, Zurynski Y. Mapping care provision for type 1 diabetes throughout Australia: a protocol for a mixed-method study. BMJ Open 2022; 12:e067209. [PMID: 36526322 PMCID: PMC9764665 DOI: 10.1136/bmjopen-2022-067209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Type 1 diabetes (T1D) is a chronic and incurable autoimmune disease, diagnosed in early childhood and managed initially in paediatric healthcare services. In many countries, including Australia, national audit data suggest that management and care of T1D, and consequently glycaemic control, are consistently poor. This can lead to adverse outcomes such as cardiovascular disease and nephropathy. T1D treatment is complex, multidisciplinary, multiagency and life-long and should involve patient-centred, developmentally appropriate care. Although an emerging body of literature describes T1D models of care, their components, implementation determinants and associated outcomes are poorly understood. OBJECTIVES To provide a study protocol to describe methods to map existing models of care for children and young adults living with T1D. It will identify the gaps and needs in care delivery as viewed by healthcare providers and by children, young people and their families accessing care in metropolitan and rural or remote regions throughout Australia. METHODS AND ANALYSIS A mixed-method study that includes provider and consumer-specific surveys and interviews about current T1D care provisions. Data will be analysed thematically (qualitative) and statistically (quantitative) and synthesised to describe the key characteristics of effective and sustainable models of care for T1D and to identify gaps. ETHICS AND DISSEMINATION Ethics approval was granted by the Macquarie University Human Research Ethics Committee in July 2022 (#520221154439676). Results will be disseminated via publication in peer-reviewed journals and at relevant conferences.
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Affiliation(s)
- Ann Carrigan
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Rebecca Lake
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Sophia Zoungas
- Monash Centre for Health Research and Implementation-MCHRI, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia
| | - Tony Huynh
- Department of Endocrinology and Diabetes, Queensland Children's Hospital, South Brisbane, Queensland, Australia
- The University of Queensland, Saint Lucia, Queensland, Australia
| | - Jennifer Couper
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Elizabeth Davis
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Timothy Jones
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - David Bloom
- Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Yvonne Zurynski
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Partnership Centre for Health System Sustainabilty, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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14
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Bierbaum M, Rapport F, Arnolda G, Delaney GP, Liauw W, Olver I, Braithwaite J. Clinical practice guideline adherence in oncology: A qualitative study of insights from clinicians in Australia. PLoS One 2022; 17:e0279116. [PMID: 36525435 PMCID: PMC9757567 DOI: 10.1371/journal.pone.0279116] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The burden of cancer is large in Australia, and rates of cancer Clinical Practice Guideline (CPG) adherence is suboptimal across various cancers. METHODS The objective of this study is to characterise clinician-perceived barriers and facilitators to cancer CPG adherence in Australia. Semi-structured interviews were conducted to collect data from 33 oncology-focused clinicians (surgeons, radiation oncologists, medical oncologists and haematologists). Clinicians were recruited in 2019 and 2020 through purposive and snowball sampling from 7 hospitals across Sydney, Australia, and interviewed either face-to-face in hospitals or by phone. Audio recordings were transcribed verbatim, and qualitative thematic analysis of the interview data was undertaken. Human research ethics committee approval and governance approval was granted (2019/ETH11722, #52019568810127). RESULTS Five broad themes and subthemes of key barriers and facilitators to cancer treatment CPG adherence were identified: Theme 1: CPG content; Theme 2: Individual clinician and patient factors; Theme 3: Access to, awareness of and availability of CPGs; Theme 4: Organisational and cultural factors; and Theme 5: Development and implementation factors. The most frequently reported barriers to adherence were CPGs not catering for patient complexities, being slow to be updated, patient treatment preferences, geographical challenges for patients who travel large distances to access cancer services and limited funding of CPG recommended drugs. The most frequently reported facilitators to adherence were easy accessibility, peer review, multidisciplinary engagement or MDT attendance, and transparent CPG development by trusted, multidisciplinary experts. CPGs provide a reassuring framework for clinicians to check their treatment plans against. Clinicians want cancer CPGs to be frequently updated utilising a wiki-like process, and easily accessible online via a comprehensive database, coordinated by a well-trusted development body. CONCLUSION Future implementation strategies of cancer CPGs in Australia should be tailored to consider these context-specific barriers and facilitators, taking into account both the content of CPGs and the communication of that content. The establishment of a centralised, comprehensive, online database, with living wiki-style cancer CPGs, coordinated by a well-funded development body, along with incorporation of recommendations into point-of-care decision support would potentially address many of the issues identified.
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Affiliation(s)
- Mia Bierbaum
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- * E-mail:
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Centre for Research Excellence in Implementation Science in Oncology, Sydney, Australia
| | - Geoff P. Delaney
- Centre for Research Excellence in Implementation Science in Oncology, Sydney, Australia
- SWSLHD Cancer Services, Liverpool, Australia
| | - Winston Liauw
- Centre for Research Excellence in Implementation Science in Oncology, Sydney, Australia
- SESLHD Cancer Service, Kogarah, Australia
| | - Ian Olver
- School of Psychology, University of Adelaide, Adelaide, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Centre for Research Excellence in Implementation Science in Oncology, Sydney, Australia
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15
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Matthijssen AFM, Dietrich A, Kleine Deters R, Meinardi Y, Del Canho R, van de Loo GHH, Buitelaar JK, van den Hoofdakker BJ, Hoekstra PJ. Clinicians' Adherence to Guidelines When Initiating Methylphenidate Treatment. J Child Adolesc Psychopharmacol 2022; 32:488-495. [PMID: 36383094 DOI: 10.1089/cap.2022.0060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aims: Between 2008 and 2012, the number of children and adolescents in the Netherlands who received methylphenidate prescriptions increased by 35.6%. We determined guideline adherence regarding the assessment of attention-deficit/hyperactivity disorder (ADHD) and rates of off-label use in those 2 years. We also compared adherence to guidelines between mental health and pediatrics settings. Methods: We conducted a medical file audit of 506 children or adolescents who had received a first methylphenidate prescription in 2008 (n = 208) or 2012 (n = 298) across mental health (n = 333) and pediatrics outpatient clinics (n = 173) in the Netherlands and assessed adherence to seven guideline recommendations. Results: We did not find significant differences between 2008 and 2012 regarding the mean adherence to the seven recommendations (43% vs. 45%) or the percentage of off-label use (35% vs. 30%). Best adherence rates (over the years 2008 and 2012 combined) concerned the assessment of comorbidities (89%) and the involvement of teachers in the diagnostic process (75%). Least frequently adhered to were assessing ADHD severity (1%), the use of a (semi-)structured parent interview (16%), and providing psycho-education to parents (42%) or teachers (1%). Mental health settings showed better adherence than pediatrics settings (over the years 2008 and 2012 combined) concerning the use of (semi-)structured parent interviews (22% vs. 3.1%), having a separate diagnostic session directed at the child (81% vs. 63%), assessment of comorbidities (95% vs. 76%), and providing psycho-education to parents (51% vs. 24%). Conclusions: There was neither a decrease in adherence to guidelines nor an increase in off-label use between 2008 and 2012. However, there is ample room for improvement regarding guideline adherence.
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Affiliation(s)
- Anne-Flore M Matthijssen
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Renee Kleine Deters
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Yvonne Meinardi
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Riwka Del Canho
- Department of Pediatrics, Maasstad Hospital, Rotterdam, The Netherlands
| | - Gigi H H van de Loo
- Karakter Child and Adolescent Psychiatry Center Nijmegen, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Center, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands
| | - Barbara J van den Hoofdakker
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.,Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, The Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
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16
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Ramsden V, Middleton S, McInnes E, Babl FE, Tavender E. Review article: A primer for clinical researchers in the emergency department: Part XII. Sustainability of improvements in care: An introduction. Emerg Med Australas 2022; 34:670-674. [PMID: 35918063 DOI: 10.1111/1742-6723.14052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 01/07/2023]
Abstract
Despite an increased focus on ways to improve implementation of evidence and de-implementation of practices with no known benefit, there is limited guidance on how to sustain these improvements. This review provides an introduction to sustainability of improvements in care and sustainability research, discussing how to support sustainability in practice and detailing a sustainability research agenda for the emergency medicine setting.
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Affiliation(s)
- Victoria Ramsden
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia.,Emergency Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Faculty of Medicine, Nursing and Midwifery and Health Sciences, The University of Notre Dame Australia, Sydney, New South Wales, Australia
| | - Sandy Middleton
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia.,Nursing Research Institute, St Vincent's Health Network Sydney, St Vincent's Hospital Melbourne and Australian Catholic University, Sydney, New South Wales, Australia
| | - Elizabeth McInnes
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia.,Nursing Research Institute, St Vincent's Health Network Sydney, St Vincent's Hospital Melbourne and Australian Catholic University, Sydney, New South Wales, Australia
| | - Franz E Babl
- Emergency Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Critical Care, The University of Melbourne, Melbourne, Victoria, Australia
| | - Emma Tavender
- Emergency Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Critical Care, The University of Melbourne, Melbourne, Victoria, Australia
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17
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Khano S, Sanci L, Woolfenden S, Zurynski Y, Dalziel K, Liaw ST, Boyle D, Freed GL, Moore C, Hodgins M, Le J, Morris TM, Germano S, Wheeler K, Lingam R, Hiscock H. Strengthening Care for Children (SC4C): protocol for a stepped wedge cluster randomised controlled trial of an integrated general practitioner-paediatrician model of primary care. BMJ Open 2022; 12:e063449. [PMID: 36171040 PMCID: PMC9644360 DOI: 10.1136/bmjopen-2022-063449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Australia's current healthcare system for children is neither sustainable nor equitable. As children (0-4 years) comprise the largest proportion of all primary care-type emergency department presentations, general practitioners (GPs) report feeling undervalued as an integral member of a child's care, and lacking in opportunities for support and training in paediatric conditions. This Strengthening Care for Children (SC4C) randomised trial aims to evaluate a novel, integrated GP-paediatrician model of care, that, if effective, will improve GP quality of care, reduce burden to hospital services and ensure children receive the right care, at the right time, closer to home. METHODS AND ANALYSIS SC4C is a stepped wedge cluster randomised controlled trial (RCT) of 22 general practice clinics in Victoria and New South Wales, Australia. General practice clinics will provide control period data before being exposed to the 12-month intervention which will be rolled out sequentially each month (one clinic per state) until all 22 clinics receive the intervention. The intervention comprises weekly GP-paediatrician co-consultation sessions; monthly case discussions; and phone and email paediatrician support, focusing on common paediatric conditions. The primary outcome of the trial is to assess the impact of the intervention as measured by the proportion of children's (0-<18 years) GP appointments that result in a hospital referral, compared with the control period. Secondary outcomes include GP quality of care; GP experience and confidence in providing paediatric care; family trust in and preference for GP care; and the sustainability of the intervention. An implementation evaluation will assess the model to inform acceptability, adaptability, scalability and sustainability, while a health economic evaluation will measure the cost-effectiveness of the intervention. ETHICS AND DISSEMINATION Human research ethics committee (HREC) approval was granted by The Royal Children's Hospital Ethics Committee in August 2020 (Project ID: 65955) and site-specific HRECs. The investigators (including Primary Health Network partners) will communicate trial results to stakeholders and participating GPs and general practice clinics via presentations and publications. TRIAL REGISTRATION NUMBER Australia New Zealand Clinical Trials Registry 12620001299998.
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Affiliation(s)
- Sonia Khano
- Health Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Lena Sanci
- Department of General Practice, University of Melbourne, Melbourne, Victoria, Australia
| | - Susan Woolfenden
- Community Paediatrics, Sydney Local Health District, Sydney, New South Wales, Australia
- Department of Paediatrics, University of New South Wales, Sydney, New South Wales, Australia
| | - Yvonne Zurynski
- Australian Institute of Health Innnovation, Macquarie University, Sydney, New South Wales, Australia
| | - Kim Dalziel
- School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - Siaw-Teng Liaw
- School of Public Health and Community Medicine, UNSW Australia, Fairfield, New South Wales, Australia
| | - Douglas Boyle
- Department of General Practice, University of Melbourne, Carlton, Victoria, Australia
| | - Gary L Freed
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Cecilia Moore
- Clinical Sciences and Biostatistics Unit, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Michael Hodgins
- University of New South Wales, Sydney, New South Wales, Australia
| | - Jane Le
- Health Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | | | - Stephanie Germano
- North Western Melbourne Primary Health Network, Melbourne, Victoria, Australia
| | - Karen Wheeler
- Central and Eastern Sydney Primary Health Network, Sydney, New South Wales, Australia
| | - Raghu Lingam
- University of New South Wales, Sydney, New South Wales, Australia
- Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
| | - Harriet Hiscock
- Health Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Health Services Research Unit, The Royal Children's Hospital, Parkville, Victoria, Australia
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18
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Samenjo KT, Bengtson M, Onasanya A, Zambrano JCI, Oladunni O, Oladepo O, van Engelen J, Diehl JC. Stakeholders’ Perspectives on the Application of New Diagnostic Devices for Urinary Schistosomiasis in Oyo State, Nigeria: A Q-Methodology Approach. GLOBAL HEALTH: SCIENCE AND PRACTICE 2022; 10:GHSP-D-21-00780. [PMID: 36041843 PMCID: PMC9426976 DOI: 10.9745/ghsp-d-21-00780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/31/2022] [Indexed: 11/16/2022]
Abstract
New diagnostic devices for schistosomiasis should be designed to function best within the local endemic health care context and support stakeholders at various levels of the health care system in performing the tasks to help control and eventually eliminate schistosomiasis. Urinary schistosomiasis is a waterborne parasitic infection caused by Schistosoma haematobium that affects approximately 30 million people annually in Nigeria. Treatment and eradication of this infection require effective diagnostics. However, current diagnostic tests have critical shortcomings and consequently are of limited value to stakeholders throughout the health care system who are involved in targeting the diagnosis and subsequent control of schistosomiasis. New diagnostic devices that fit the local health care infrastructure and support the different stakeholder diagnostic strategies remain a critical need. This study focuses on understanding, by means of Q-methodology, the context of use and application of a new diagnostic device that is needed to effectively diagnose urinary schistosomiasis in Oyo State, Nigeria. Q-methodology is a technique that investigates subjectivity by exploring how stakeholders rank-order opinion statements about a phenomenon. In this study, 40 statements were administered to evaluate stakeholder perspectives on the context of use and application of potential new diagnostic devices and how these perspectives or viewpoints are shared with other stakeholders. Potential new diagnostic devices will need to be deployable to remote or distant communities, be affordable, identify and confirm infection status before treatment in patients whose diagnosis of urinary schistosomiasis is based on self-reporting, and equip health care facilities with diagnostic devices optimized for the local setting while requiring local minimal infrastructural settings. Similarly, the context of use and application of a potential new diagnostic device for urinary schistosomiasis is primarily associated with the tasks stakeholders throughout the health care system perform or procedures employed. These findings will guide the development of new diagnostic devices for schistosomiasis that match the contextual landscape and diagnostic strategies in Oyo.
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Affiliation(s)
- Karlheinz Tondo Samenjo
- Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
| | - Michel Bengtson
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | - Adeola Onasanya
- Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Juan Carlo Intriago Zambrano
- Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands
| | - Opeyemi Oladunni
- Department of Health Promotion and Education, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oladimeji Oladepo
- Department of Health Promotion and Education, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Jo van Engelen
- Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Jan-Carel Diehl
- Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
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19
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Hanifiha M, Ghanbari A, Keykhaei M, Saeedi Moghaddam S, Rezaei N, Pasha Zanous M, Yoosefi M, Ghasemi E, Rezaei N, Shahin S, Rashidi MM, Ghamari A, Haghshenas R, Kompani F, Farzadfar F. Global, regional, and national burden and quality of care index in children and adolescents: A systematic analysis for the global burden of disease study 1990-2017. PLoS One 2022; 17:e0267596. [PMID: 35472096 PMCID: PMC9041858 DOI: 10.1371/journal.pone.0267596] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/11/2022] [Indexed: 12/11/2022] Open
Abstract
PURPOSE To express a global view of care quality in major causes of mortality and morbidity in children and adolescences. METHODS We used primary epidemiologic indicators from the Global Burden of Disease 1990-2017 database. We have created four secondary indices from six primary indices in order to assess the care quality parameters. We conducted a principal component analysis on incidence, prevalence, mortality, Years of Life Lost (YLLs), Years Lived with Disability (YLDs), and Disability Adjusted Life Years (DALYs) to create an index presented by quality-of-care index (QCI) to compare different countries. RESULTS The global QCI scores of respiratory infection, enteric infection, leukemia, foreign body aspiration, asthma, epilepsy, diabetes mellitus, dermatitis, road injury, and neonatal disorders have improved remarkably. These causes showed equal distribution of qualified care for both sexes. The global trend of QCI score for mental health showed a steady pattern during the same time and disparities favoring females was evident. The quality of care for these causes was notably higher in developed areas. CONCLUSIONS The global QCI revealed a universal growth in major causes of death and morbidity in <20y during 28 years. Quality of care is an associate of the level of country's development. Despite effective interventions, inequities still remain. Implementation of policies to invest in quality improvement and inequality elimination is needed.
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Affiliation(s)
- Melika Hanifiha
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Ghanbari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Keykhaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Feinberg Cardiovascular and Renal Research Institute, Northwestern University, School of Medicine, Chicago, IL, United States of America
| | - Sahar Saeedi Moghaddam
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Pasha Zanous
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moein Yoosefi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Ghasemi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazila Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sarvenaz Shahin
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Mahdi Rashidi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Azin Ghamari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Rosa Haghshenas
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Kompani
- Division of Hematology and Oncology, Children’s Medical Center, Pediatrics Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran
- * E-mail: f–
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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20
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Hibbert PD, Molloy CJ, Wiles LK, Cameron ID, Gray LC, Reed RL, Kitson A, Georgiou A, Gordon SJ, Westbrook J, Arnolda G, Mitchell RJ, Rapport F, Estabrooks C, Alexander GL, Vincent C, Edwards A, Carson-Stevens A, Wagner C, McCormack B, Braithwaite J. Designing Clinical Indicators for Common Residential Aged Care Conditions and Processes of Care: The CareTrack Aged Development and Validation Study. Int J Qual Health Care 2022; 34:6571667. [PMID: 35445264 DOI: 10.1093/intqhc/mzac033] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/27/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND People who live in aged care homes have high rates of illness and frailty. Providing evidence-based care to this population is vital to ensure the highest possible quality of life. This study (CareTrack Aged, CT Aged) aimed to develop a comprehensive set of clinical indicators for guideline-adherent, appropriate care of commonly managed conditions and processes of care in aged care. METHODS Indicators were formulated from recommendations found through systematic searches of Australian and international clinical practice guidelines (CPGs). Experts reviewed the indicators using a multi-round modified Delphi process to develop consensus on what constitutes appropriate care. RESULTS From 139 CPGs, 5,609 recommendations were used to draft 630 indicators. Clinical experts (n=41) reviewed the indicators over two rounds. A final set of 236 indicators resulted, mapped to 16 conditions and processes of care. The conditions and processes were admission assessment; bladder and bowel problems; cognitive impairment; depression; dysphagia and aspiration; end of life/palliative care; hearing and vision; infection; medication; mobility and falls; nutrition and hydration; oral and dental care; pain; restraint use; skin integrity; and sleep. CONCLUSIONS The suite of CT Aged clinical indicators can be used for research, assessment of quality of care in individual facilities and across organisations to guide improvement, and to supplement regulation or accreditation of the aged care sector. They are a step forward for Australian and international aged care sectors, helping to improve transparency, so that the level of care delivered to aged care consumers can be rigorously monitored and continuously improved.
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Affiliation(s)
- Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Charlotte J Molloy
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Louise K Wiles
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Ian D Cameron
- John Walsh Centre for Rehabilitation Research, Kolling Institute, Faculty of Medicine and Health, University of Sydney, St Leonards, New South Wales, Australia
| | - Leonard C Gray
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Richard L Reed
- Discipline of General Practice, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Alison Kitson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Andrew Georgiou
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Susan J Gordon
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Johanna Westbrook
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Rebecca J Mitchell
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Carole Estabrooks
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada
| | | | - Charles Vincent
- Department of Experimental Psychology, Radcliffe Observatory, University of Oxford, Oxford, England, United Kingdom
| | - Adrian Edwards
- PRIME Centre Wales & Division of Population Medicine, Cardiff University, Heath Park, Cardiff, Wales, United Kingdom
| | - Andrew Carson-Stevens
- PRIME Centre Wales & Division of Population Medicine, Cardiff University, Heath Park, Cardiff, Wales, United Kingdom
| | - Cordula Wagner
- Netherlands Institute for Health Services Research, Amsterdam University Medical Center, Utrecht/Amsterdam, The Netherlands
| | - Brendan McCormack
- School of Health Sciences, Queen Margaret University, Edinburgh, Scotland, United Kingdom
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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21
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Tischlik V, Mehl C, Ewald D, Heinzel-Gutenbrunner M, Geraedts M, Bachmann CJ. Assessment of the quality of routine ambulatory healthcare for common disorders in children and adolescents in Germany: study protocol for a retrospective medical record review (QualiPäd). BMJ Open 2021; 11:e048782. [PMID: 34815275 PMCID: PMC8611448 DOI: 10.1136/bmjopen-2021-048782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION The quality of healthcare in childhood and adolescence is of key importance, in order to foster a healthy development and to avoid chronic health problems. Yet, data for Germany regarding the quality of healthcare for this patient group are lacking. The QualiPäd research project aims to estimate the quality of outpatient healthcare for children and adolescents in Germany, focusing on common psychiatric and physical disorders. METHODS AND ANALYSIS Quality indicators for seven common physical and mental childhood and adolescent clinical conditions (attention deficit/hyperactivity disorder, asthma, atopic dermatitis, depression, otitis media, conduct disorder/oppositional defiant disorder, tonsillitis) will be developed and ratified by experts, using the RAND/UCLA Appropriateness Method.Initially, 1400 medical records of children and adolescents with one of the aforementioned clinical conditions will then be randomly drawn from 40 outpatient practices in the German federal state of Hessen. The records will then be assessed regarding their adherence to the respective quality indicators. Based on this, the percentage of appropriate and inappropriate (eg, wasteful) healthcare of all clinical conditions (primary endpoint) will be estimated. Additionally, possible factors influencing the quality of care (eg, patient characteristics, type of condition, type of practice) will be identified using generalised estimation equation models. ETHICS AND DISSEMINATION This study will show for which of the studied clinical conditions and/or patients improvement of quality of care is necessary within the German health system. Also, the quality indicators designed for the study can afterwards be implemented in regular care and thus enable regular reporting of the outpatient care of this target group. The authors plan to disseminate their findings through international, peer-reviewed scientific publications, and through presentations at national and international paediatric and child psychiatric conferences. TRIAL REGISTRATION NUMBER DRKS00022408.
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Affiliation(s)
- Viktor Tischlik
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | | | | | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Christian J Bachmann
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
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22
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Hu N, Nassar N, Shrapnel J, Perkes I, Hodgins M, O'Leary F, Trudgett C, Eapen V, Woolfenden S, Knight K, Lingam R. The impact of the COVID-19 pandemic on paediatric health service use within one year after the first pandemic outbreak in New South Wales Australia - a time series analysis. LANCET REGIONAL HEALTH-WESTERN PACIFIC 2021; 19:100311. [PMID: 34746898 PMCID: PMC8564784 DOI: 10.1016/j.lanwpc.2021.100311] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/17/2021] [Accepted: 10/07/2021] [Indexed: 02/07/2023]
Abstract
Background The first wave of the COVID-19 pandemic hit New South Wales (NSW) Australia in early 2020, followed by a sharp state-wide lockdown from mid-March to mid-May. After the lockdown, there had been a low level of community transmission of COVID-19 over a year. Such pandemic experiences provide unique opportunity to understand the impact of the pandemic on paediatric health service use as countries emerge from the pandemic. Methods We examined the difference between the observed and the predicted numbers of inpatient admissions and emergency department (ED) attendances, respectively, related to chronic, acute infectious and injury conditions, for each month during the COVID-19 period (January 2020-February 2021), based on the numbers from 2016 to 2019, using records from two major paediatric hospitals in NSW. All analyses were conducted using autoregressive error models and were stratified by patient age, sex and socioeconomic status. Findings Health service use was significantly lower than predicted for admissions and/or ED attendances related to chronic conditions, acute infections, and injury during the lockdown in 2020. Change in health service use varied by chronic conditions, from the largest decrease for respiratory conditions (40-78%) to non-significant change for cancer and mental health disorders. After the lockdown, health service use for most health conditions returned to pre-COVID-19 predicted levels. However, for mental health disorders, increased health service use persisted from June 2020 up to February 2021 by 30-55%, with higher increase among girls aged 12-17 years and those from socioeconomically advantaged areas. There was persistently lower health service use for acute infections and increased health service use for injuries. Differences by socio-demographic factors were noted for mental health disorders and injuries. Interpretation The immediate return to pre-COVID-19 levels for most chronic conditions after the first lockdown in NSW highlights the healthcare needs for children affected by chronic conditions. Persistently lower health service use for acute infections is likely attributable to the decreased social contact. Sustained and targeted mental health support is essential to address the potentially increased demand for services among children during and beyond the pandemic. Funding Financial Markets Foundation for Children Chair (RL, NN), NHMRC Investigator Grant (APP1197940) (NN), NHMRC Career Development fellowship (GNT1158954) (SW)
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Affiliation(s)
- Nan Hu
- Population Child Health Research Group, School of Women's and Children's Health, UNSW Sydney, Australia
| | - Natasha Nassar
- Child Population and Translational Health Research, The University of Sydney Children's Hospital Westmead Clinical School, Australia
| | - Jane Shrapnel
- Strategy and Innovation, Sydney Children's Hospitals Network, Australia.,The University of Sydney Children's Hospital Westmead Clinical School, Australia
| | - Iain Perkes
- School of Women's and Children's Health, UNSW Sydney, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Australia
| | - Michael Hodgins
- Population Child Health Research Group, School of Women's and Children's Health, UNSW Sydney, Australia
| | - Fenton O'Leary
- The University of Sydney Children's Hospital Westmead Clinical School, Australia.,Emergency Department, The Children's Hospital at Westmead, Australia
| | - Carla Trudgett
- Department of Psychological Medicine, Sydney Children's Hospitals Network, Australia
| | - Valsamma Eapen
- Academic Unit of Child Psychiatry South West Sydney, School of Psychiatry, UNSW Sydney
| | - Sue Woolfenden
- Population Child Health Research Group, School of Women's and Children's Health, UNSW Sydney, Australia
| | - Katherine Knight
- Department of Psychological Medicine, Sydney Children's Hospitals Network, Australia
| | - Raghu Lingam
- Population Child Health Research Group, School of Women's and Children's Health, UNSW Sydney, Australia
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23
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Sarkies MN, Robins LM, Jepson M, Williams CM, Taylor NF, O’Brien L, Martin J, Bardoel A, Morris ME, Carey LM, Holland AE, Long KM, Haines TP. Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial. PLoS Med 2021; 18:e1003833. [PMID: 34679090 PMCID: PMC8570499 DOI: 10.1371/journal.pmed.1003833] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 11/05/2021] [Accepted: 10/04/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services. METHODS AND FINDINGS This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination. CONCLUSIONS Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12618000029291.
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Affiliation(s)
- Mitchell N. Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, New South Wales, Australia
- Health Economics and Data Analytics Discipline, School of Public Health, Faculty of Health Sciences, Curtin University, Western Australia, Australia
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Lauren M. Robins
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Megan Jepson
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Cylie M. Williams
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Nicholas F. Taylor
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Allied Health Clinical Research Office, Eastern Health, Victoria, Australia
| | - Lisa O’Brien
- Department Occupational Therapy, School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Jenny Martin
- Department of Social Work and Human Services, School of Arts, Federation University Australia, Victoria, Australia
| | - Anne Bardoel
- Department of Management and Marketing, Swinburne University of Technology, Victoria, Australia
| | - Meg E. Morris
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Healthscope Academic and Research Collaborative in Health, Victorian Rehabilitation Centre, Glen Waverly, Victoria, Australia
| | - Leeanne M. Carey
- Occupational Therapy, School of Allied Health, Human Services and Sport, La Trobe University, Victoria, Australia
- Neurorehabilitation and Recovery, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Victoria, Australia
| | - Anne E. Holland
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Victoria, Australia
- Department of Physiotherapy, Alfred Health, Victoria, Australia
| | - Katrina M. Long
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Terry P. Haines
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
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24
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Bergholt MD, Falstie-Jensen AM, Hibbert P, Eysturoy BJ, Guttesen G, Róin T, Valentin JB, Braithwaite J, von Plessen C, Johnsen SP. The association between first-time accreditation and the delivery of recommended care: a before and after study in the Faroe Islands. BMC Health Serv Res 2021; 21:917. [PMID: 34482842 PMCID: PMC8418753 DOI: 10.1186/s12913-021-06952-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 08/27/2021] [Indexed: 11/27/2022] Open
Abstract
Background Significant resources are spent on hospital accreditation worldwide. However, documentation of the effects of accreditation on processes, quality of care and outcomes in healthcare remain scarce. This study aimed to examine changes in the delivery of patient care in accordance with clinical guidelines (recommended care) after first-time accreditation in a care setting not previously exposed to systematic quality improvement initiatives. Methods We conducted a before and after study based on medical record reviews in connection with introducing first-time accreditation. We included patients with stroke/transient ischemic attack, bleeding gastric ulcer, diabetes, chronic obstructive pulmonary disease (COPD), childbirth, heart failure and hip fracture treated at public, non-psychiatric Faroese hospitals during 2012–2013 (before accreditation) or 2017–2018 (after accreditation). The intervention was the implementation of a modified second version of The Danish Healthcare Quality Program (DDKM) from 2014 to 2016 including an on-site accreditation survey in the Faroese hospitals. Recommended care was assessed using 63 disease specific patient level process performance measures in seven clinical conditions. We calculated the fulfillment and changes in the opportunity-based composite score and the all-or-none score. Results We included 867 patient pathways (536 before and 331 after). After accreditation, the total opportunity-based composite score was marginally higher though the change did not reach statistical significance (adjusted percentage point difference (%): 4.4%; 95% CI: − 0.7 to 9.6). At disease level, patients with stroke/transient ischemic attack, bleeding gastric ulcer, COPD and childbirth received a higher proportion of recommended care after accreditation. No difference was found for heart failure and diabetes. Hip fracture received less recommended care after accreditation. The total all-or-none score, which is the probability of a patient receiving all recommended care, was significantly higher after accreditation (adjusted relative risk (RR): 2.32; 95% CI: 2.03 to 2.67). The improvement was particularly strong for patients with COPD (RR: 16.22; 95% CI: 14.54 to 18.10). Conclusion Hospitals were in general more likely to provide recommended care after first-time accreditation. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06952-w.
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Affiliation(s)
- Maria Daniella Bergholt
- Department of Clinical Epidemiology, Aarhus University Hospital, Oluf Palmes Allé 43-45, DK-8200, Aarhus N, Denmark. .,Department of Anesthesiology and Intensive Care Medicine, Copenhagen University Hospital, Gentofte Hospital, Gentofte Hospitalsvej 1, DK-2900, Hellerup, Denmark.
| | | | - Peter Hibbert
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, New South Wales, 2109, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia
| | - Barbara Joensen Eysturoy
- Surgical Centre, National Hospital of the Faroe Islands, J.C Svabosgøta 41-49, 100, Tórshavn, Faroe Islands
| | - Gunnvá Guttesen
- Medical Centre, National Hospital of the Faroe Islands, J.C Svabosgøta 41-49, 100, Tórshavn, Faroe Islands
| | - Tóra Róin
- Department of Quality Improvement and Patient Safety, National Hospital of the Faroe Islands, J.C Svabosgøta 41-49, 100, Tórshavn, Faroe Islands
| | - Jan Brink Valentin
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University and Aalborg University Hospital, Frederik Bajers vej 5, DK-9220, Aalborg, Denmark
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, New South Wales, 2109, Australia
| | - Christian von Plessen
- Unisanté, Rue du Bugnon 44, CH-1011, Lausanne, Switzerland.,Institute for Clinical Research, University of Southern Denmark, Campusvej 55, DK-5230, Odense M, Denmark
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University and Aalborg University Hospital, Frederik Bajers vej 5, DK-9220, Aalborg, Denmark
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Hiscock H, O Loughlin R, Pelly R, Laird C, Holman J, Dalziel K, Lei S, Boyle D, Freed G. Strengthening care for children: pilot of an integrated general practitioner-paediatrician model of primary care in Victoria, Australia. AUST HEALTH REV 2021; 44:569-575. [PMID: 32045563 DOI: 10.1071/ah19177] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 11/18/2019] [Indexed: 11/23/2022]
Abstract
Objective The aim of this study was to assess the acceptability of a novel, integrated general practitioner (GP)-paediatrician model of care, aiming to reduce referrals to hospitals and improve primary care quality. Methods A pre-post study was conducted with five general practice clinics in north-west Melbourne. Over 12 months, 49 GPs and 896 families participated in the intervention that included weekly to fortnightly paediatrician-GP co-consultation sessions at the general practice, monthly case discussions and telephone or email clinical support for GPs. GPs and families completed surveys or interviews at three time points (before the intervention, after running the model for 4 months and at the end of the implementation). Non-identifiable consultation data were extracted from general practice medical records. Results All GPs found the model acceptable. Although not significant, there was a trend towards a lower proportion of referrals to private paediatricians after the intervention (from 34% to 20%) and emergency departments (from 19% to 12%). Outpatient clinic referrals remained steady, and then increased as the paediatrician left the clinics (31% vs 47% before and after the intervention respectively). Unnecessary prescribing of acid suppression medications decreased by 20% (from 29% to 9%). GPs reported improved confidence in paediatric care (88% vs 100% before and after the intervention respectively). Families reported increased confidence in GP care (78% vs 94% before and after the intervention respectively). Model cost estimates were A$172 above usual care per child seen in the co-consultations. Conclusions This novel model of care is acceptable to GPs and families and may improve access and quality of paediatric care. What is known about the topic? A GP-paediatrician integrated model of care appears effective in reducing hospital burden in England, but has not been implemented in Australia. What does this paper add? This pilot, an Australian first, found that a GP-paediatrician integrated model of care is feasible and acceptable in Australia's primary healthcare system, improves GP confidence and quality of paediatric care, may reduce paediatric referrals to outpatient clinics and emergency departments and improves family confidence in, and preference for, GP care. What are the implications for practitioners? This model may reduce hospital burden and improve quality in GP paediatric care while potentially producing cost savings for families and the healthcare system.
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Affiliation(s)
- Harriet Hiscock
- Health Services Research Unit, The Royal Children's Hospital, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ; ; and Health Services, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ; and Department of Paediatrics, The University of Melbourne, Vic. 3010, Australia; and Corresponding author.
| | - Rachel O Loughlin
- Health Services Research Unit, The Royal Children's Hospital, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ; ; and Health Services, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Vic. 3052, Australia. ;
| | - Rachel Pelly
- Health Services, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Vic. 3052, Australia. ;
| | - Catherine Laird
- Health Services Research Unit, The Royal Children's Hospital, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ;
| | - Jessica Holman
- North Western Melbourne Primary Health Network, 369 Royal Parade, Parkville, Vic. 3052, Australia.
| | - Kim Dalziel
- Health Services, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ; and Centre for Health Policy, The University of Melbourne, Vic. 3010, Australia
| | - Shaoke Lei
- Health Services Research Unit, The Royal Children's Hospital, 50 Flemington Road, Parkville, Vic. 3052, Australia. ; ; ; and Health Services, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Vic. 3052, Australia. ;
| | - Douglas Boyle
- Department of General Practice, The University of Melbourne, Vic. 3010, Australia.
| | - Gary Freed
- Department of Pediatrics, University of Michigan, 500S. State Street, Ann Arbor, MI 48109, USA.
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Churruca K, Ludlow K, Wu W, Gibbons K, Nguyen HM, Ellis LA, Braithwaite J. A scoping review of Q-methodology in healthcare research. BMC Med Res Methodol 2021; 21:125. [PMID: 34154566 PMCID: PMC8215808 DOI: 10.1186/s12874-021-01309-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/30/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Q-methodology is an approach to studying complex issues of human 'subjectivity'. Although this approach was developed in the early twentieth century, the value of Q-methodology in healthcare was not recognised until relatively recently. The aim of this review was to scope the empirical healthcare literature to examine the extent to which Q-methodology has been utilised in healthcare over time, including how it has been used and for what purposes. METHODS A search of three electronic databases (Scopus, EBSCO-CINAHL Complete, Medline) was conducted. No date restriction was applied. A title and abstract review, followed by a full-text review, was conducted by a team of five reviewers. Included articles were English-language, peer-reviewed journal articles that used Q-methodology (both Q-sorting and inverted factor analysis) in healthcare settings. The following data items were extracted into a purpose-designed Excel spreadsheet: study details (e.g., setting, country, year), reasons for using Q-methodology, healthcare topic area, participants (type and number), materials (e.g., ranking anchors and Q-set), methods (e.g., development of the Q-set, analysis), study results, and study implications. Data synthesis was descriptive in nature and involved frequency counting, open coding and the organisation by data items. RESULTS Of the 2,302 articles identified by the search, 289 studies were included in this review. We found evidence of increased use of Q-methodology in healthcare, particularly over the last 5 years. However, this research remains diffuse, spread across a large number of journals and topic areas. In a number of studies, we identified limitations in the reporting of methods, such as insufficient information on how authors derived their Q-set, what types of analyses they performed, and the amount of variance explained. CONCLUSIONS Although Q-methodology is increasingly being adopted in healthcare research, it still appears to be relatively novel. This review highlight commonalities in how the method has been used, areas of application, and the potential value of the approach. To facilitate reporting of Q-methodological studies, we present a checklist of details that should be included for publication.
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Affiliation(s)
- Kate Churruca
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia.
| | - Kristiana Ludlow
- School of Psychology, University of Queensland, Brisbane, QLD, 4072, Australia
- Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia
| | - Wendy Wu
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia
| | - Kate Gibbons
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia
| | - Hoa Mi Nguyen
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia
| | - Louise A Ellis
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia
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Arnolda G, Hiscock H, Moore D, Farrow G, Hibbert PD, Wiles LK, Ting HP, Molloy CJ, Warwick M, Braithwaite J. Assessing the appropriateness of the management of gastro-oesophageal reflux in Australian children: a population-based sample survey. Sci Rep 2021; 11:7744. [PMID: 33833360 PMCID: PMC8032666 DOI: 10.1038/s41598-021-87369-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 03/25/2021] [Indexed: 11/23/2022] Open
Abstract
Gastro-oesophageal reflux (GOR) is a common physiological state in infants and young children, with gastro-oesophageal reflux disease (GORD) its pathological manifestation. Management of GOR/GORD requires elimination of possible underlying causes, parental reassurance, modification of feeding and symptom mitigation, monitoring, and referral to paediatricians if warning signs are present. Published clinical practice guidelines (CPGs) seek to support clinicians and improve management. This study aimed to measure the proportion of Australian GOR/GORD paediatric care that was in line with CPG recommendations. National and international CPGs for GOR/GORD were systematically identified and candidate indicators extracted; a Delphi process selected 32 indicators relevant to Australian paediatric care in 2012 and 2013. Medical records were identified in General Practices, the offices of general paediatricians, Emergency Departments and inpatient settings. Adherence to indicators was assessed by nine trained paediatric nurses undertaking retrospective medical record review. Medical records were reviewed in 115 healthcare sites; identifying 285 children, three-quarters aged < 1 year, who had 359 visits for management of GOR/GORD; 2250 eligible indicator assessments were performed. Estimated adherence rates are reported for 21 indicators with ≥ 25 assessments. Five indicators recommending differential diagnostic tests (e.g., urinalysis) for infants presenting with recurrent regurgitation and poor weight gain had ~ 10% adherence; conversely, avoidance of unrecommended tests (e.g., barium swallow and meal) was high (99.8% adherence: 95% CI 97.0-100). Avoidance of prescription of acid-suppression medication for infants at the first presentation was higher if they were healthy and thriving (86.9% adherence: 95% CI 86.0-96.8), intermediate if they had feeding refusal (73.1%: 95% CI 56.0-86.3) and lower if they presented with irritability and unexplained crying (58.8%: 95% CI 28.2-85.0). A guideline targeting Australian health professionals caring for infants and children with GOR/GORD is warranted, highlighting the importance of differential diagnostic testing and avoidance of acid-suppression medication in infants.
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Affiliation(s)
- Gaston Arnolda
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia.
| | - Harriet Hiscock
- Population Health Theme, Murdoch Children's Research Institute, Royal Children's Hospital, Flemington Road, Parkville, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC, 3010, Australia
- School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - David Moore
- Women's and Children's Hospital, 72 King William Road, North Adelaide, SA, 5006, Australia
| | - Glen Farrow
- Sydney Children's Hospital Network, Prince of Wales Hospital, High Street, Randwick, NSW, 2031, Australia
| | - Peter D Hibbert
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
- Centre for Population Health Research, School of Health Sciences, University of South Australia, 101 Currie Street, Adelaide, SA, 5001, Australia
| | - Louise K Wiles
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
- Centre for Population Health Research, School of Health Sciences, University of South Australia, 101 Currie Street, Adelaide, SA, 5001, Australia
| | - Hseun P Ting
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
| | - Charlotte J Molloy
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
- Centre for Population Health Research, School of Health Sciences, University of South Australia, 101 Currie Street, Adelaide, SA, 5001, Australia
| | - Meagan Warwick
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, 2109, Australia
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Ellis LA, Blakely B, Hazell P, Woolfenden S, Hiscock H, Sarkozy V, Gould B, Hibbert PD, Arnolda G, Ting HP, Wiles LK, Molloy CJ, Churruca K, Warwick M, Braithwaite J. Guideline adherence in the management of attention deficit hyperactivity disorder in children: An audit of selected medical records in three Australian states. PLoS One 2021; 16:e0245916. [PMID: 33556083 PMCID: PMC7869992 DOI: 10.1371/journal.pone.0245916] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 01/08/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To assess General Practitioner (GP) and pediatrician adherence to clinical practice guidelines (CPGs) for diagnosis, treatment and management of attention deficit hyperactivity disorder (ADHD). METHOD Medical records for 306 children aged ≤15 years from 46 GP clinics and 20 pediatric practices in Australia were reviewed against 34 indicators derived from CPG recommendations. At indicator level, adherence was estimated as the percentage of indicators with 'Yes' or 'No' responses for adherence, which were scored 'Yes'. This was done separately for GPs, pediatricians and overall; and weighted to adjust for sampling processes. RESULTS Adherence with guidelines was high at 83.6% (95% CI: 77.7-88.5) with pediatricians (90.1%; 95% CI: 73.0-98.1) higher than GPs (68.3%; 95% CI: 46.0-85.8; p = 0.02). Appropriate assessment for children presenting with signs or symptoms of ADHD was undertaken with 95.2% adherence (95% CI: 76.6-99.9), however ongoing reviews for children with ADHD prescribed stimulant medication was markedly lower for both pediatricians (51.1%; 95% CI: 9.6-91.4) and GPs (18.7%; 95% CI: 4.1-45.5). CONCLUSION Adherence to CPGs for ADHD by pediatricians was generally high. Adherence by GPs was lower across most domains; timely recognition of medication side effects is a particular area for improvement.
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Affiliation(s)
- Louise A. Ellis
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Brette Blakely
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Philip Hazell
- Discipline of Psychiatry, School of Medicine, University of Sydney, Camperdown, New South Wales, Australia
| | - Sue Woolfenden
- School of Women and Children’s Health, University of New South Wales, Randwick, New South Wales, Australia
| | - Harriet Hiscock
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Vanessa Sarkozy
- Tumbatin Developmental Clinic, Sydney Children’s Hospital Network, School of Women and Children’s Health, University of New South Wales, Randwick, New South Wales, Australia
| | - Bronwyn Gould
- General Practitioner, Paddington, New South Wales, Australia
| | - Peter D. Hibbert
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Gaston Arnolda
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Hsuen P. Ting
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Louise K. Wiles
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Charlotte J. Molloy
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Kate Churruca
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Meagan Warwick
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- * E-mail:
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Lamprell K, Tran Y, Arnolda G, Braithwaite J. Nudging clinicians: A systematic scoping review of the literature. J Eval Clin Pract 2021; 27:175-192. [PMID: 32342613 DOI: 10.1111/jep.13401] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND While the quality of medical care delivered by physicians can be very good, it can also be inconsistent and feature behaviours that are entrenched despite updated information and evidence. The "nudge" paradigm for behaviour change is being used to bring clinical practice in line with desired standards. The premise is that behaviour can be voluntarily shifted by making particular choices instinctively appealing. We reviewed studies that are explicit about their use of nudge theory in influencing clinician behaviour. METHODS Databases were searched from April 2008 (the publication date of the book that introduced nudge theory to a wider audience) to November 2018, inclusive. The search strategy and narrative review of results addressed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. RESULTS 22 studies were identified. Randomized trials or pre-post comparisons were generally used in community-based settings; single-site pre-post studies were favoured in hospitals. The studies employed eight intervention types: active choice; patient chart redesign; default and default alerts; partitioning of prescription menus; audit and feedback; commitment messages; peer comparisons; and redirection of workflow. Three core cognitive factors underpinned the eight interventions: bias towards prominent choices (salience); predisposition to social norms; and bias towards time or cost savings. CONCLUSIONS Published studies that are explicit about their use of nudge theory are few in number and diverse in their settings, targets, and results. Default and chart re-design interventions reported the most substantial improvements in adherence to evidence and guideline-based practice. Studies that are explicit in their use of nudge theory address the widespread failure of clinical practice studies to identify theoretical frameworks for interventions. However, few studies identified in our review engaged in research to understand the contextual and site-specific barriers to a desired behaviour before designing a nudge intervention.
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Affiliation(s)
- Klay Lamprell
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Yvonne Tran
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Macquarie University, Australian Institute of Health Innovation, Sydney, New South Wales, Australia
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Meskina ER, Stashko TV. [How to reduce the antibacterial load in the treatment of acute tonsillitis and pharyngitis? Possible tactics and practical approaches]. Vestn Otorinolaringol 2021; 85:90-99. [PMID: 33474925 DOI: 10.17116/otorino20208506190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Acute tonsillopharyngitis is one of the most frequent reasons for visiting a doctor and prescribing inappropriate antibiotic therapy (ABT). There are several reasons for this - from the difficulties of etiological diagnosis and the development of relapses and possible severe complications to the personal attitude of doctors and patients to the choice of treatment. At the same time, the issue of antibiotic resistance and other aspects associated with the prescription of ABT is one of the most important problems of modern healthcare worldwide. The purpose of this review is to demonstrate the best practical approaches to the choice of treatment tactics for acute tonsillitis (AT) in the treatment of children and adults, with an emphasis on reducing the load of ABT. The review examines the indications and disadvantages of clinical and laboratory diagnosis of AT. There are no highly sensitive clinical and laboratory instruments that differentiate viral and bacterial AT. Exudativeis AT in children is not an underlying symptom of streptococcal etiology. Despite the limitations, the modified Centor/McIsaac score ≥3 (taking into account age and the presence of respiratory symptoms) should be used as an indication for ABT in conjunction with a rapid streptotest and subsequent bacteriological culture for S. pyogenes if the screening test is negative. Additional examinations (determination of leukocytosis, CRP and procalcitonin test) are not required for most patients. ABT should not be given to low-risk patients for the treatment and prevention of rheumatic fever and acute glomerulonephritis. Prevention of purulent complications (paratonsillitis and retropharyngeal abscess, acute otitis media, cervical lymphadenitis, mastoiditis, or acute sinusitis) is not a specific indication for ABT in AT and is not required in most patients. The strategy of «delayed antibiotic prescriptions» with monitoring the patient's condition for 2-3 days is appropriate and highly effective in doubtful cases. The drugs of choice for treatment of AT are amoxicillin and oral forms of I and II generation cephalosporins. Macrolides are not indicated as first-line treatment for AT. The course of ABT for streptococcal AT is 10 days, which reduces the risk of recurrent episode. Topical drugs can be the only means of etiopathogenetic treatment with viral AT, or additional for bacterial AT. Their use not only relieves sore throat, but also shortens the duration of the disease, and also improves the patients prognosis. Benzalkonium chloride + tyrothricin + benzocaine (Dorithyrcin) may be a rational drug of choice for topical therapy due to the available clinical evidence. There is a significant reserve for reducing the load of ABT during AT. Further clinical trials are needed to assess the efficacy of short courses of ABT in the treatment of AT in high-income countries and provide a basis for strong recommendations for topical drug use. This can reduce the frequency of ABT prescribing and increase the level of interaction between specialists and patients.
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Affiliation(s)
- E R Meskina
- Moscow Regional Research and Clinical Institute (MONIKI), Moskow, Russia
| | - T V Stashko
- Moscow Regional Research and Clinical Institute (MONIKI), Moskow, Russia
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Hibbert PD, Runciman WB, Carson-Stevens A, Lachman P, Wheaton G, Hallahan AR, Jaffe A, White L, Muething S, Wiles LK, Molloy CJ, Deakin A, Braithwaite J. Characterising the types of paediatric adverse events detected by the global trigger tool – CareTrack Kids. JOURNAL OF PATIENT SAFETY AND RISK MANAGEMENT 2020. [DOI: 10.1177/2516043520969329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
IntroductionA common method of learning about adverse events (AEs) is by reviewing medical records using the global trigger tool (GTT). However, these studies generally report rates of harm. The aim of this study is to characterise paediatric AEs detected by the GTT using descriptive and qualitative approaches.MethodsMedical records of children aged 0–15 were reviewed for presence of harm using the GTT. Records from 2012–2013 were sampled from hospital inpatients, emergency departments, general practice and specialist paediatric practices in three Australian states. Nurses undertook a review of each record and if an AE was suspected a doctor performed a verification review of a summary created by the nurse. A qualitative content analysis was undertaken on the summary of verified AEs.ResultsA total of 232 AEs were detected from 6,689 records reviewed. Over four-fifths of the AEs (193/232, 83%) resulted in minor harm to the patient. Nearly half (112/232, 48%) related to medication/intravenous (IV) fluids. Of these, 83% (93/112) were adverse drug reactions. Problems with medical devices/equipment were the next most frequent with nearly two-thirds (32/51, 63%) of these related to intravenous devices. Problems associated with clinical processes/procedures comprise one in six AEs (38/232, 16%), of which diagnostic problems (12/38, 32%) and procedural complications (11/38, 29%) were the most frequent.ConclusionAdverse drug reactions and issues with IVs are frequently identified AEs reflecting their common use in paediatrics. The qualitative approach taken in this study allowed AE types to be characterised, which is a prerequisite for developing and prioritising improvements in practice.
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Affiliation(s)
- Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - William B Runciman
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Andrew Carson-Stevens
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Peter Lachman
- International Society for Quality in Health Care, Dublin, Ireland
| | - Gavin Wheaton
- Division of Paediatric Medicine, Women’s and Children’s Hospital, North Adelaide, Australia
| | - Andrew R Hallahan
- Children’s Health Queensland Hospital and Health Service, Herston, Australia
| | - Adam Jaffe
- University of New South Wales, Sydney, Australia
- Department of Respiratory Medicine, Sydney Children’s Hospital, Sydney Children’s Hospital Network, Randwick, Australia
| | - Les White
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
- University of New South Wales, Sydney, Australia
| | | | - Louise K Wiles
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Charlotte J Molloy
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Anita Deakin
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, New South Wales, Australia
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Facilitation of evidence implementation within a clinical fellowship program: a mixed methods study. JBI Evid Implement 2020; 19:130-141. [PMID: 32897914 DOI: 10.1097/xeb.0000000000000252] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIM Facilitation is a multifaceted process for supporting and enabling individual or group of health practitioners to implement positive changes in clinical practice. Facilitation has never been explored within the context of an educational program that integrates a practical, evidence-based implementation component, such as a clinical fellowship program (CFP). The aim of this research was to identify features of facilitation as it occurs in the JBI (formerly known as Joanna Briggs Institute) CFP that promotes the use of evidence into clinical practice. METHODS We used a mixed methods study design to address the objective of this study. An electronic survey was administered to clinicians of different clinical backgrounds who completed the CFP (i.e. clinical fellows). Purposively selected clinical fellows and assigned internal or external facilitators were interviewed. RESULTS Forty-three clinical fellows completed the survey and 16 individual interviews and two focus groups were conducted. Findings from the survey and interviews demonstrated that facilitation within the context of a CFP is a collaborative effort between assigned facilitators and clinical fellows. Our study showed that both assigned facilitators and clinical fellows perform facilitation activities, with assigned internal and external facilitators providing support and assistance to clinical fellows, who in turn, support the evidence implementation project within their local organization. The study also suggests that external facilitation should be tailored to the individual clinical fellow's characteristics and their previous experiences. CONCLUSION Facilitation in an evidence-based CFP involves a partnership between clinical fellows and assigned facilitators, indicating a collaborative effort that involves a set of internal and external facilitation activities. Our study findings can guide the delivery of CFPs, particularly in identifying suitable people for the facilitator's role, which can have important implications for evidence implementation. Future research should focus on evaluating the effectiveness of these programs in improving practice and health outcomes.
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Homaira N, Daniels B, Pearson S, Jaffe A. Dispensing Practices of Fixed Dose Combination Controller Therapy for Asthma in Australian Children and Adolescents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165645. [PMID: 32764390 PMCID: PMC7460523 DOI: 10.3390/ijerph17165645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/10/2020] [Accepted: 07/11/2020] [Indexed: 11/16/2022]
Abstract
The Australian Asthma Handbook does not recommend use of fixed dose combination (FDC) controller medicines for asthma in children aged ≤5 years. FDCs are only recommended in children and adolescents (aged 6-18 years) not responding to initial inhaled corticosteroid (ICS) therapy. Using Pharmaceutical Benefits Scheme dispensing claims from 2013-2018, we examined the annual incident FDC dispensing and the incident FDC dispensing without prior ICS up to 365 days. We also determined cost of FDCs to government and patients. During 2013-2018, there were 35,635 FDC initiations and 31,368 (88%) did not have a preceding ICS dispensing. The annual incidence of FDC dispensing declined from 14.7 to 7.2/1000 children. Incidence of FDC dispensing/1000 children without a preceding ICS declined from 2.1 to 0.5 in children aged 1-2 years, 7.2 to 1.7 in 3-5 years, 14.8 to 5.1 in 6-11 years, and 18.6 to 11.9 in ≥12years. The cost of FDCs was 7.8 million Australian dollars (AUD); of which 4.4 million AUD was to government and 3.3 million AUD was to patient. Despite inappropriate dispensing of FDCs in children aged ≤5 years, incidence of FDC dispensing and more importantly incidence without a preceding ICS is declining in Australia.
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Affiliation(s)
- Nusrat Homaira
- Discipline of Paediatrics, School of Women’s and Children’s Health, Faculty of Medicine, The University of New South Wales, Sydney 2052, Australia;
- Respiratory Department, Sydney Children’s Hospital, Sydney 2031, Australia
- Correspondence:
| | - Benjamin Daniels
- Medicines Policy Research Unit, Centre for Big Data Research in Health, Sydney 2052, Australia; (B.D.); (S.P.)
| | - Sallie Pearson
- Medicines Policy Research Unit, Centre for Big Data Research in Health, Sydney 2052, Australia; (B.D.); (S.P.)
| | - Adam Jaffe
- Discipline of Paediatrics, School of Women’s and Children’s Health, Faculty of Medicine, The University of New South Wales, Sydney 2052, Australia;
- Respiratory Department, Sydney Children’s Hospital, Sydney 2031, Australia
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Munn Z, McArthur A, Mander GTW, Steffensen CJ, Jordan Z. Evidence-based healthcare, knowledge translation, implementation science and radiography: What does it all mean? Radiography (Lond) 2020; 26 Suppl 2:S8-S13. [PMID: 32620353 DOI: 10.1016/j.radi.2020.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/12/2020] [Accepted: 05/13/2020] [Indexed: 12/30/2022]
Abstract
Evidence-based healthcare is an approach to practice whereby decision making and service delivery considers the best available evidence, patient choice, local resources and clinical expertise. Although sound in theory, compliance with evidence-based practice is often far from optimal. To address this, related fields such as knowledge translation and implementation science have emerged, which largely focus on methods and techniques to facilitate the transfer of evidence into practice. This introductory article explains the key concepts of evidence-based healthcare by using the JBI Model as a framework to highlight the lifecycle of evidence-based information. Throughout the article we refer to exemplars from medical radiation to highlight these concepts.
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Affiliation(s)
- Z Munn
- JBI, University of Adelaide, Australia.
| | | | - G T W Mander
- Dept Medical Imaging, Toowoomba Hospital, Darling Downs Health, QLD Health, Australia
| | | | - Z Jordan
- JBI, University of Adelaide, Australia
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McGee RG, Cowell CT, Arnolda G, Ting HP, Hibbert P, Dowton SB, Braithwaite J. Assessing guideline adherence in the management of type 1 diabetes mellitus in Australian children: a population-based sample survey. BMJ Open Diabetes Res Care 2020; 8:8/1/e001141. [PMID: 32709758 PMCID: PMC7380831 DOI: 10.1136/bmjdrc-2019-001141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 05/12/2020] [Accepted: 05/24/2020] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION To estimate adherence to clinical practice guidelines in selected settings at a population level for Australian children with type 1 diabetes mellitus. RESEARCH DESIGN AND METHODS Medical records of children with type 1 diabetes mellitus aged 0-15 years in 2012-2013 were targeted for sampling across inpatient, emergency department and community visits with specialist pediatricians in regional and metropolitan areas and tertiary pediatric hospitals in three states where approximately 60% of Australian children reside. Clinical recommendations extracted from two clinical practice guidelines were used to audit adherence. Results were aggregated across types of care (diagnosis, routine care, emergency care). RESULTS Surveyors conducted 6346 indicator assessments from an audit of 539 healthcare visits by 251 children. Average adherence across all indicators was estimated at 79.9% (95% CI 69.5 to 88.0). Children with type 1 diabetes mellitus have higher rates of behavioral and psychological disorders, but only a third of children (37.9%; 95% CI 11.7 to 70.7) with suboptimal glycemic control (eg, hemoglobin A1c >10% or 86 mmol/mol) were screened for psychological disorders using a validated tool; this was the only indicator with <50% estimated adherence. Adherence by care type was: 86.1% for diagnosis (95% CI 76.7 to 92.7); 78.8% for routine care (95% CI 65.4 to 88.9) and 83.9% for emergency care (95% CI 78.4 to 88.5). CONCLUSIONS Most indicators for care of children with type 1 diabetes mellitus were adhered to. However, there remains room to improve adherence to guidelines for optimization of practice consistency and minimization of future disease burden.
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Affiliation(s)
- Richard G McGee
- Central Coast Clinical School, The University of Newcastle Faculty of Health and Medicine, Callaghan, New South Wales, Australia
| | - Chris T Cowell
- The University of Sydney Children's Hospital Westmead Clinical School, Sydney, New South Wales, Australia
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Peter Hibbert
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - S Bruce Dowton
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
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Curtis K, Kennedy B, Holland AJ, Mitchell RJ, Tall G, Smith H, Soundappan SS, Loudfoot A, Burns B, Dinh M. Determining the priorities for change in paediatric trauma care delivery in NSW, Australia. Australas Emerg Care 2020; 23:97-104. [DOI: 10.1016/j.auec.2019.09.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/27/2019] [Accepted: 09/30/2019] [Indexed: 11/16/2022]
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Braithwaite J, Ludlow K, Testa L, Herkes J, Augustsson H, Lamprell G, McPherson E, Zurynski Y. Built to last? The sustainability of healthcare system improvements, programmes and interventions: a systematic integrative review. BMJ Open 2020; 10:e036453. [PMID: 32487579 PMCID: PMC7265014 DOI: 10.1136/bmjopen-2019-036453] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION The sustainability of healthcare delivery systems is challenged by ageing populations, complex systems, increasing rates of chronic disease, increasing costs associated with new medical technologies and growing expectations by healthcare consumers. Healthcare programmes, innovations and interventions are increasingly implemented at the front lines of care to increase effectiveness and efficiency; however, little is known about how sustainability is conceptualised and measured in programme evaluations. OBJECTIVES We aimed to describe theoretical frameworks, definitions and measures of sustainability, as applied in published evaluations of healthcare improvement programmes and interventions. DESIGN Systematic integrative review. METHODS We searched six academic databases, CINAHL, Embase, Ovid MEDLINE, Emerald Management, Scopus and Web of Science, for peer-reviewed English journal articles (July 2011-March 2018). Articles were included if they assessed programme sustainability or sustained outcomes of a programme at the healthcare system level. Six reviewers conducted the abstract and full-text review. Data were extracted on study characteristics, definitions, terminology, theoretical frameworks, methods and tools. Hawker's Quality Assessment Tool was applied to included studies. RESULTS Of the 92 included studies, 75.0% were classified as high quality. Twenty-seven (29.3%) studies provided 32 different definitions of sustainability. Terms used interchangeably for sustainability included continuation, maintenance, follow-up or long term. Eighty studies (87.0%) clearly reported the timepoints at which sustainability was evaluated: 43.0% at 1-2 years and 11.3% at <12 months. Eighteen studies (19.6%) used a theoretical framework to conceptualise or assess programme sustainability, including frameworks that were not specifically designed to assess sustainability. CONCLUSIONS The body of literature is limited by the use of inconsistent definitions and measures of programme sustainability. Evaluations of service improvement programmes and interventions seldom used theoretical frameworks. Embedding implementation science and healthcare service researchers into the healthcare system is a promising strategy to improve the rigour of programme sustainability evaluations.
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Affiliation(s)
- Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Kristiana Ludlow
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Luke Testa
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Jessica Herkes
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Hanna Augustsson
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gina Lamprell
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Elise McPherson
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Yvonne Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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Braithwaite J, Glasziou P, Westbrook J. The three numbers you need to know about healthcare: the 60-30-10 Challenge. BMC Med 2020; 18:102. [PMID: 32362273 PMCID: PMC7197142 DOI: 10.1186/s12916-020-01563-4] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 03/11/2020] [Accepted: 03/17/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Healthcare represents a paradox. While change is everywhere, performance has flatlined: 60% of care on average is in line with evidence- or consensus-based guidelines, 30% is some form of waste or of low value, and 10% is harm. The 60-30-10 Challenge has persisted for three decades. MAIN BODY Current top-down or chain-logic strategies to address this problem, based essentially on linear models of change and relying on policies, hierarchies, and standardisation, have proven insufficient. Instead, we need to marry ideas drawn from complexity science and continuous improvement with proposals for creating a deep learning health system. This dynamic learning model has the potential to assemble relevant information including patients' histories, and clinical, patient, laboratory, and cost data for improved decision-making in real time, or close to real time. If we get it right, the learning health system will contribute to care being more evidence-based and less wasteful and harmful. It will need a purpose-designed digital backbone and infrastructure, apply artificial intelligence to support diagnosis and treatment options, harness genomic and other new data types, and create informed discussions of options between patients, families, and clinicians. While there will be many variants of the model, learning health systems will need to spread, and be encouraged to do so, principally through diffusion of innovation models and local adaptations. CONCLUSION Deep learning systems can enable us to better exploit expanding health datasets including traditional and newer forms of big and smaller-scale data, e.g. genomics and cost information, and incorporate patient preferences into decision-making. As we envisage it, a deep learning system will support healthcare's desire to continually improve, and make gains on the 60-30-10 dimensions. All modern health systems are awash with data, but it is only recently that we have been able to bring this together, operationalised, and turned into useful information by which to make more intelligent, timely decisions than in the past.
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Affiliation(s)
- Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.
| | - Paul Glasziou
- Institute for Evidence-Based Health Care, Faculty of Health Sciences and Medicine, Bond University, Level 2, Building 5, 14 University Drive, Robina, Queensland, 4226, Australia
| | - Johanna Westbrook
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia
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Arnolda G, Hibbert P, Ting HP, Molloy C, Wiles L, Warwick M, Snelling T, Homaira N, Jaffe A, Braithwaite J. Assessing the appropriateness of paediatric antibiotic overuse in Australian children: a population-based sample survey. BMC Pediatr 2020; 20:185. [PMID: 32331515 PMCID: PMC7181474 DOI: 10.1186/s12887-020-02052-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 03/26/2020] [Indexed: 01/02/2023] Open
Abstract
Background Infections caused by antibiotic resistant pathogens are increasing, with antibiotic overuse a key contributing factor. Objective The CareTrack Kids (CTK) team assessed the care of children in Australia aged 0–15 years in 2012 and 2013 to determine the proportion of care in line with clinical practice guidelines (CPGs) for 17 common conditions. This study analyses indicators relating to paediatric antibiotic overuse to identify those which should be prioritised by antimicrobial stewardship and clinical improvement programs. Method A systematic search was undertaken for national and international CPGs relevant to 17 target conditions for Australian paediatric care in 2012–2013. Recommendations were screened and ratified by reviewers. The sampling frame comprised three states containing 60% of the Australian paediatric population (South Australia, New South Wales and Queensland). Multi-stage cluster sampling was used to select general practices, specialist paediatric practices, emergency departments and hospital inpatient services, and medical records within these. Medical records were reviewed by experienced paediatric nurses, trained to assess eligibility for indicator assessment and compliance with indicators. Adherence rates were estimated. Results Ten antibiotic overuse indicators were identified; three for tonsillitis and one each for seven other conditions. A total of 2621 children were assessed. Estimated adherence for indicators ranged from 13.8 to 99.5% while the overall estimate of compliance was 61.9% (95% CI: 47.8–74.7). Conditions with high levels of appropriate avoidance of antibiotics were gastroenteritis and atopic eczema without signs of infection, bronchiolitis and croup. Indicators with less than 50% adherence were asthma exacerbation in children aged > 2 years (47.1%; 95% CI: 33.4–61.1), sore throat with no other signs of tonsillitis (40.9%; 95% CI: 16.9, 68.6), acute otitis media in children aged > 12 months who were mildly unwell (13.8%; 95% CI: 5.1, 28.0), and sore throat and associated cough in children aged < 4 years (14.3%; 95% CI: 9.9, 19.7). Conclusion The results of this study identify four candidate indicators (two for tonsillitis, one for otitis media and one for asthma) for monitoring by antibiotic stewardship and clinical improvement programs in ambulatory and hospital paediatric care, and intervention if needed.
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Affiliation(s)
- Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, New South Wales, 2109, Australia
| | - Peter Hibbert
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, New South Wales, 2109, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, New South Wales, 2109, Australia
| | - Charli Molloy
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Louise Wiles
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Meagan Warwick
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, New South Wales, 2109, Australia
| | - Tom Snelling
- Perth Children's Hospital, Nedlands, Western Australia, Australia
| | - Nusrat Homaira
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Respiratory Department, Sydney Children's Hospital, Sydney, New South Wales, Australia
| | - Adam Jaffe
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Respiratory Department, Sydney Children's Hospital, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, New South Wales, 2109, Australia.
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Long JC, Dalton S, Arnolda G, Ting HP, Molloy CJ, Hibbert PD, Wiles LK, Craig S, Warwick M, Churruca K, Ellis LA, Braithwaite J. Guideline adherence in the management of head injury in Australian children: A population-based sample survey. PLoS One 2020; 15:e0228715. [PMID: 32045446 PMCID: PMC7012413 DOI: 10.1371/journal.pone.0228715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 01/21/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Head injuries in children are a common and potentially devastating presentation. The CareTrack Kids (CTK) study assessed care of Australian children aged 0-15 years, in 2012 and 2013, to evaluate the proportion in line with guideline-based indicators for 17 common conditions. Overall adherence to guideline-based recommended practice occurred 59.8% of care encounters (95% CI: 57.5-62.0), and 78.3% (95% CI: 75.1-81.2) for head injury. This paper presents results for head injury, at indicator level. METHODS A modified version of the RAND-UCLA method of indicator development was used. Indicators, measurable components of a standard or guideline, were developed from international and national guidelines relating to head injury in children and were ratified by clinical experts using a Delphi process. Paediatric nurses extracted data from medical records from general practitioners (GPs), emergency departments (EDs) and inpatient wards in Queensland, New South Wales and South Australia, for children under 15 years receiving care in 2012-13. Our purpose was to estimate the percentage adherent for each indicator. RESULTS The medical records of 629 children with head injury were examined. Fifty-one percent of children were under 5 years old, with more males (61%) than females. Thirty-eight indicators were assessed. Avoidance of nasotracheal airways (100%; 95% CI: 99.4-100) or nasogastric tubes (99.7%; 95% CI: 98.5-100) for children with a head injury had the highest adherence. Indicators relating to primary and secondary assessment of head injuries were mostly adhered to. However, adherence to other indicators was poor (e.g., documentation of the past history of children (e.g., presence or absence of seizures) before the injury; 29.9% (95% CI: 24.5-35.7)), and for others was difficult to estimate with confidence due to small sample sizes (e.g., Children with a head injury who were intubated had PaO2 above 80mm Hg; 56.0% (95% CI: 28.6-80.9)). Indicators guiding clinical decision making regarding the need for CT scan had insufficient data to justify reporting. CONCLUSION This study highlights that management of head injury in children mostly follows guidelines, but also flags some specific areas of inconsistency. Individual sites are encouraged to use these results to guide investigation of local practices and inform quality improvement endeavours.
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Affiliation(s)
- Janet C. Long
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Sarah Dalton
- Emergency Department, The Children’s Hospital at Westmead, Sydney, New South Wales, Australia
- Agency for Clinical Innovation, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Hsuen P. Ting
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Charlotte J. Molloy
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Peter D. Hibbert
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Louise K. Wiles
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Simon Craig
- Department of Paediatrics, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Meagan Warwick
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Kate Churruca
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Louise A. Ellis
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- * E-mail:
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Arnolda G, Winata T, Ting HP, Clay-Williams R, Taylor N, Tran Y, Braithwaite J. Implementation and data-related challenges in the Deepening our Understanding of Quality in Australia (DUQuA) study: implications for large-scale cross-sectional research. Int J Qual Health Care 2020; 32:75-83. [PMID: 32026937 DOI: 10.1093/intqhc/mzz108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 09/07/2019] [Accepted: 09/12/2019] [Indexed: 12/31/2022] Open
Abstract
Healthcare organisations vary in the degree to which they implement quality and safety systems and strategies. Large-scale cross-sectional studies have been implemented to explore whether this variation is associated with outcomes relevant at the patient level. The Deepening our Understanding of Quality in Australia (DUQuA) study draws from earlier research of this type, to examine these issues in 32 Australian hospitals. This paper outlines the key implementation and analysis challenges faced by DUQuA. Many of the logistical difficulties of implementing DUQuA derived from compliance with the administratively complex and time-consuming Australian ethics and governance system designed principally to protect patients involved in clinical trials, rather than for low-risk health services research. The complexity of these processes is compounded by a lack of organizational capacity for multi-site health services research; research is expected to be undertaken in addition to usual work, not as part of it. These issues likely contributed to a relatively low recruitment rate for hospitals (41% of eligible hospitals). Both sets of issues need to be addressed by health services researchers, policymakers and healthcare administrators, if health services research is to flourish. Large-scale research also inevitably involves multiple measurements. The timing for applying these measures needs to be coherent, to maximise the likelihood of finding real relationships between quality and safety systems and strategies, and patient outcomes; this timing was less than ideal in DUQuA, in part due to administrative delays. Other issues that affected our study include low response rates for measures requiring recruitment of clinicians and patients, missing data and a design that necessarily included multiple statistical comparisons. We discuss how these were addressed. Successful completion of these projects relies on mutual and ongoing commitment, and two-way communication between the research team and hospital staff at all levels. This will help to ensure that enthusiasm and engagement are established and maintained.
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Affiliation(s)
- Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
| | - Teresa Winata
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
| | - Natalie Taylor
- Cancer Research Division, Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW 2011, Woolloomooloo, Australia.,Faculty of Health Sciences, University of Sydney, Camperdown, Sydney, NSW 2006, Sydney, Australia
| | - Yvonne Tran
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, NSW 2109, North Ryde, Australia
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Rapport F, Francis-Auton E, Cartmill J, Ryder T, Braithwaite J, Clay-Williams R. A mobile methods pilot study of surgical spaces: 'fit for purpose? Organisational productivity and workforce wellbeing in workspaces in hospital' (FLOURISH). BMC Health Serv Res 2020; 20:78. [PMID: 32013980 PMCID: PMC6998284 DOI: 10.1186/s12913-020-4938-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 01/27/2020] [Indexed: 11/10/2022] Open
Abstract
Background Good workspace design is key to the quality of work, safety, and wellbeing for workers, yet we lack vital knowledge about optimal hospital design to meet healthcare workforce needs. This study used novel mobile methods to examine the concept of Work-as-Done and the effect of workspace-use on healthcare professional practice, productivity, health and safety in an Australian university hospital. Methods This pilot study took place in one gastroenterological surgical unit between 2018 and 2019. Data collection involved 50 h of observations and informal conversations, followed by interpretation of five architectural plans and 45 photographs. Fieldnotes were thematically analysed and corroborated by analysis of visual data using a predefined taxonomy. Results Six themes were identified, revealing spaces that both support and hinder Work-as-Done. Fit-for-purpose spaces facilitated effective communication between staff, patients and families, conferred relative comfort and privacy, and supported effective teamwork. Unfit-for-purpose spaces were characterised by disruptions to work practices, disharmony among team members, and physical discomfort for staff. Staff employed workarounds to manage unfit-for-purpose spaces. Conclusion The results identified negative impacts of negotiating unfit-for-purpose workspaces on the work and wellbeing of staff. While the use of workarounds and adaptations enable staff to maintain everyday working practices, they can also lead to unexpected consequences. Results indicated the need to identify and support fit-for-purpose spaces and minimize the detrimental qualities of unfit-for-purpose spaces. This study showed that mobile methods were suitable for examining Work-as-Done in a fast-moving, adaptive hospital setting.
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Affiliation(s)
- Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
| | - Emilie Francis-Auton
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - John Cartmill
- Macquarie University Hospital, Macquarie Park, Australia
| | - Tayhla Ryder
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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Clay-Williams R, Stephens JH, Williams H, Hallahan A, Dalton C, Hibbert P, Ting HP, Arnolda G, Wiles L, Braithwaite J. Assessing the appropriateness of the management of otitis media in Australia: A population-based sample survey. J Paediatr Child Health 2020; 56:215-223. [PMID: 31317635 DOI: 10.1111/jpc.14560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 06/20/2019] [Accepted: 06/21/2019] [Indexed: 02/05/2023]
Abstract
AIM Acute otitis media (AOM) is the most common infectious disease for which antibiotics are prescribed; its management is costly and has the potential to increase the antimicrobial resistance of this infection. This study measured the levels of adherence to the clinical practice guidelines (CPGs) of AOM and otitis media with effusion (OME) management in Australian children. METHODS We searched for national and international CPGs relating to AOM and OME in children and created 37 indicators for assessment. We reviewed medical records for adherence to these indicators in 120 locations, across one inpatient and three ambulatory health-care settings. Our review sample was obtained from three Australian states that contain 60% of the nation's children. RESULTS We reviewed the records of 1063 children with one or more assessments of CPG adherence for otitis media. Of 22 indicators with sufficient data, estimated adherence ranged from 7.4 to 99.1%. Overuse of treatment, particularly overprescribing of antibiotics, was more common than underuse. A frequent lack of adherence with recommended care was observed for children aged between 1 and 2 years with AOM. Adherence varied by health-care setting, with emergency departments and inpatient settings more adherent to CPGs than general practices. CONCLUSIONS Our assessment of a number of indicators in the common settings in which otitis media is treated found that guideline adherence varied widely between individual indicators. Internationally agreed standards for diagnosis and treatment, coupled with clinician education on the existence and content of CPGs and clinical decision support, are needed to improve the management of children presenting with AOM and OME.
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Affiliation(s)
- Robyn Clay-Williams
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Jacqueline H Stephens
- School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Helena Williams
- Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Andrew Hallahan
- Children's Health Queensland, Queensland Children's Hospital, Brisbane, Queensland, Australia.,School of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | | | - Peter Hibbert
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Hsuen P Ting
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Louise Wiles
- School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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Holt J, White L, Wheaton GR, Williams H, Jani S, Arnolda G, Ting HP, Hibbert PD, Braithwaite J. Management of fever in Australian children: a population-based sample survey. BMC Pediatr 2020; 20:16. [PMID: 31931759 PMCID: PMC6956501 DOI: 10.1186/s12887-020-1911-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 01/06/2020] [Indexed: 11/25/2022] Open
Abstract
Background Fever in childhood is a common acute presentation requiring clinical triage to identify the few children who have serious underlying infection. Clinical practice guidelines (CPGs) have been developed to assist clinicians with this task. This study aimed to assess the proportion of care provided in accordance with CPG recommendations for the management of fever in Australian children. Methods Clinical recommendations were extracted from five CPGs and formulated into 47 clinical indicators for use in auditing adherence. Indicators were categorised by phase of care: assessment, diagnosis and treatment. Patient records from children aged 0 to 15 years were sampled from general practices (GP), emergency departments (ED) and hospital admissions in randomly-selected health districts in Queensland, New South Wales and South Australia during 2012 and 2013. Paediatric nurses, trained to assess eligibility for indicator assessment and adherence, reviewed eligible medical records. Adherence was estimated by individual indicator, phase of care, age-group and setting. Results The field team conducted 14,879 eligible indicator assessments for 708 visits by 550 children with fever in 58 GP, 34 ED and 28 hospital inpatient settings. For the 33 indicators with sufficient data, adherence ranged from 14.7 to 98.1%. Estimated adherence with assessment-related indicators was 51.3% (95% CI: 48.1–54.6), 77.5% (95% CI: 65.3–87.1) for diagnostic-related indicators and 72.7% (95% CI: 65.3–79.3) for treatment-related indicators. Adherence for children < 3 months of age was 73.4% (95% CI: 58.0–85.8) and 64.7% (95% CI: 57.0–71.9) for children 3–11 months of age, both significantly higher than for children aged 4–15 years (53.5%; 95% CI: 50.0–56.9). The proportion of adherent care for children attending an ED was 77.5% (95% CI: 74.2–80.6) and 76.7% (95% CI: 71.7–81.3) for children admitted to hospital, both significantly higher than for children attending a GP (40.3%; 95% CI: 34.6–46.1). Conclusions This study reports a wide range of adherence by clinicians to 47 indicators of best practice for the management of febrile children, sampled from urban and rural regions containing 60% of the Australian paediatric population. Documented adherence was lowest for indicators related to patient assessment, for care provided in GP settings, and for children aged 4–15 years.
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Affiliation(s)
- Joanna Holt
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia
| | - Leslie White
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia.,School of Women's and Children's Health, University of NSW, Sydney, Australia.,Sydney Children's Hospitals Network, Westmead, Australia
| | - Gavin R Wheaton
- Division of Paediatric Medicine, Women's and Children's Health Network, SA Health, Adelaide, Australia
| | - Helena Williams
- Division of Paediatric Medicine, Women's and Children's Health Network, SA Health, Adelaide, Australia.,Southern Adelaide Local Health Network, Adelaide, Australia
| | - Shefali Jani
- Sydney Children's Hospitals Network, Westmead, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia
| | - Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia.,Australian Centre for Precision Health School of Health Science, University of South Australia, Adelaide, Australia.,South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia.
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45
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Wolfe I, Satherley RM, Scotney E, Newham J, Lingam R. Integrated Care Models and Child Health: A Meta-analysis. Pediatrics 2020; 145:peds.2018-3747. [PMID: 31888959 DOI: 10.1542/peds.2018-3747] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/04/2019] [Indexed: 11/24/2022] Open
Abstract
CONTEXT Integrated care models may improve health care for children and young people (CYP) with ongoing conditions. OBJECTIVE To assess the effects of integrated care on child health, health service use, health care quality, school absenteeism, and costs for CYP with ongoing conditions. DATA SOURCES Medline, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library databases (1996-2018). STUDY SELECTION Inclusion criteria consisted of (1) randomized controlled trials, (2) evaluating an integrated care intervention, (3) for CYP (0-18 years) with an ongoing health condition, and (4) including at least 1 health-related outcome. DATA EXTRACTION Descriptive data were synthesized. Data for quality of life (QoL) and emergency department (ED) visits allowed meta-analyses to explore the effects of integrated care compared to usual care. RESULTS Twenty-three trials were identified, describing 18 interventions. Compared with usual care, integrated care reported greater cost savings (3/4 studies). Meta-analyses found that integrated care improved QoL over usual care (standard mean difference = 0.24; 95% confidence interval = 0.03-0.44; P = .02), but no significant difference was found between groups for ED visits (odds ratio = 0.88; 95% confidence interval = 0.57-1.37; P = .57). LIMITATIONS Included studies had variable quality of intervention, trial design, and reporting. Randomized controlled trials only were included, but valuable data from other study designs may exist. CONCLUSIONS Integrated care for CYP with ongoing conditions may deliver improved QoL and cost savings. The effects of integrated care on outcomes including ED visits is unclear.
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Affiliation(s)
- Ingrid Wolfe
- Department of Women's and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom;
| | - Rose-Marie Satherley
- Department of Women's and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Elizabeth Scotney
- King's College Hospital National Health Services Foundation Trust, London, United Kingdom; and
| | - James Newham
- Department of Women's and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Raghu Lingam
- Population Child Health Clinical Research Group, School of Women and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
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46
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Prentice B, Moloney S, Hort J, Hibbert P, Wiles LK, Molloy CJ, Arnolda G, Ting HP, Braithwaite J, Jaffe A. Assessing the adherence to guidelines in the management of croup in Australian children: a population-based sample survey. Int J Qual Health Care 2019; 31:759-767. [PMID: 31665290 DOI: 10.1093/intqhc/mzz088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/28/2019] [Accepted: 07/17/2019] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE To determine the extent to which care received by Australian children presenting with croup is in agreement with Clinical Practice Guidelines (CPGs). DESIGN Retrospective population-based sample survey. Croup clinical indicators were derived from CPGs. DATA SOURCES/STUDY SETTING Medical records from three healthcare settings were sampled for selected visits in 2012 and 2013 in three Australian states. DATA COLLECTION Data were collected by nine experienced paediatric nurses, trained to assess eligibility for indicator assessment and adherence to CPGs. Surveyors undertook criterion-based medical record reviews using an electronic data collection tool. RESULTS Documented guideline adherence was lower for general practitioners (65.9%; 95% CI: 60.8-70.6) than emergency departments (91.1%; 95% CI: 89.5-92.5) and inpatient admissions (91.3%; 95% CI: 88.1-93.9). Overall adherence was very low for a bundle of 10 indicators related to assessment (4.5%; 95% CI: 2.4-7.6) but higher for a bundle of four indicators relating to the avoidance of inappropriate therapy (83.1%; 95% CI: 59.5-96.0). CONCLUSIONS Most visits for croup were characterized by appropriate treatment in all healthcare settings. However, most children had limited documented clinical assessments, and some had unnecessary tests or inappropriate therapy, which has potential quality and cost implications. Universal CPG and clinical assessment tools may increase clinical consistency.
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Affiliation(s)
- Bernadette Prentice
- Department of Respiratory Medicine, Sydney Children's Hospital, High St., Randwick, NSW, 2031, Australia.,School of Women's and Children's Health, University of New South Wales, High St., Randwick, NSW, 2031, Australia
| | - Susan Moloney
- Department of Paediatrics, Gold Coast University Hospital, Hospital Blvd., Southport, QLD, 4215, Australia.,School of Medicine, Griffith University, Parklands Dr., Gold Coast, QLD, 4222, Australia.,Faculty of Health Sciences and Medicine, Bond University, University Dr., Gold Coast, QLD, 4226, Australia
| | - Jason Hort
- Emergency Department, Sydney Children's Hospital, Harkesbury Rd. and Hainsworth St., Westmead, NSW, 2145, Australia.,Children's Hospital Westmead Clinical School, Sydney Medical School, University of Sydney, Manning Rd., Sydney, NSW, 2050, Australia
| | - Peter Hibbert
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Currie St., Adelaide, SA, 5000, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia
| | - Louise K Wiles
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Currie St., Adelaide, SA, 5000, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia
| | - Charlotte J Molloy
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Currie St., Adelaide, SA, 5000, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia
| | - Gaston Arnolda
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia
| | - Hsuen P Ting
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Talavera Rd., North Ryde, NSW, 2109, Australia
| | - Adam Jaffe
- Department of Respiratory Medicine, Sydney Children's Hospital, High St., Randwick, NSW, 2031, Australia.,School of Women's and Children's Health, University of New South Wales, High St., Randwick, NSW, 2031, Australia
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Wiles LK, de Wet C, Dalton C, Murphy E, Harris MF, Hibbert PD, Molloy CJ, Arnolda G, Ting HP, Braithwaite J. The quality of preventive care for pre-school aged children in Australian general practice. BMC Med 2019; 17:218. [PMID: 31805928 PMCID: PMC6896286 DOI: 10.1186/s12916-019-1455-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 10/28/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Variable and poor care quality are important causes of preventable patient harm. Many patients receive less than recommended care, but the extent of the problem remains largely unknown. The CareTrack Kids (CTK) research programme sought to address this evidence gap by developing a set of indicators to measure the quality of care for common paediatric conditions. In this study, we focus on one clinical area, 'preventive care' for pre-school aged children. Our objectives were two-fold: (i) develop and validate preventive care quality indicators and (ii) apply them in general medical practice to measure adherence. METHODS Clinical experts (n = 6) developed indicator questions (IQs) from clinical practice guideline (CPG) recommendations using a multi-stage modified Delphi process, which were pilot tested in general practice. The medical records of Australian children (n = 976) from general practices (n = 80) in Queensland, New South Wales and South Australia identified as having a consultation for one of 17 CTK conditions of interest were retrospectively reviewed by trained paediatric nurses. Statistical analyses were performed to estimate percentage compliance and its 95% confidence intervals. RESULTS IQs (n = 43) and eight care 'bundles' were developed and validated. Care was delivered in line with the IQs in 43.3% of eligible healthcare encounters (95% CI 30.5-56.7). The bundles of care with the highest compliance were 'immunisation' (80.1%, 95% CI 65.7-90.4), 'anthropometric measurements' (52.7%, 95% CI 35.6-69.4) and 'nutrition assessments' (38.5%, 95% CI 24.3-54.3), and lowest for 'visual assessment' (17.9%, 95% CI 8.2-31.9), 'musculoskeletal examinations' (24.4%, 95% CI 13.1-39.1) and 'cardiovascular examinations' (30.9%, 95% CI 12.3-55.5). CONCLUSIONS This study is the first known attempt to develop specific preventive care quality indicators and measure their delivery to Australian children in general practice. Our findings that preventive care is not reliably delivered to all Australian children and that there is substantial variation in adherence with the IQs provide a starting point for clinicians, researchers and policy makers when considering how the gap between recommended and actual care may be narrowed. The findings may also help inform the development of specific improvement interventions, incentives and national standards.
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Affiliation(s)
- Louise K Wiles
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - Carl de Wet
- Healthcare Improvement Unit, Clinical Excellence Division, Queensland Health, Brisbane, QLD, Australia.,School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | | | - Elisabeth Murphy
- New South Wales Ministry of Health, North Sydney, Sydney, NSW, Australia
| | - Mark F Harris
- Centre for Primary Health Care and Equity, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Peter D Hibbert
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia.,South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - Charlotte J Molloy
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.,Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
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Zurynski Y, Churruca K, Arnolda G, Dalton S, Ting HP, Hibbert PD, Molloy C, Wiles LK, de Wet C, Braithwaite J. Quality of care for acute abdominal pain in children. BMJ Qual Saf 2019; 29:509-516. [PMID: 31776200 PMCID: PMC7286043 DOI: 10.1136/bmjqs-2019-010088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 11/04/2019] [Accepted: 11/10/2019] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To assess quality of care for children presenting with acute abdominal pain using validated indicators. DESIGN Audit of care quality for acute abdominal pain according to 21 care quality indicators developed and validated in four stages. SETTING AND PARTICIPANTS Medical records of children aged 1-15 years receiving care in 2012-2013 were sampled from 57 general practitioners, 34 emergency departments (ED) and 28 hospitals across three Australian states; 6689 medical records were screened for visits for acute abdominal pain and audited by trained paediatric nurses. OUTCOME MEASURES Adherence to 21 care quality indicators and three bundles of indicators: bundle A-History; bundle B-Examination; bundle C-Imaging. RESULTS Five hundred and fourteen children had 696 visits for acute abdominal pain and adherence was assessed for 9785 individual indicators. The overall adherence was 69.9% (95% CI 64.8% to 74.6%). Adherence to individual indicators ranged from 21.6% for assessment of dehydration to 91.4% for appropriate ordering of imaging. Adherence was low for bundle A-History (29.4%) and bundle B-Examination (10.2%), and high for bundle C-Imaging (91.4%). Adherence to the 21 indicators overall was significantly lower in general practice (62.7%, 95% CI 57.0% to 68.1%) compared with ED (86.0%, 95% CI 83.4% to 88.4%; p<0.0001) and hospital inpatient settings (87.9%, 95% CI 83.1% to 91.8%; p<0.0001). CONCLUSIONS There was considerable variation in care quality for indicator bundles and care settings. Future work should explore how validated care quality indicator assessments can be embedded into clinical workflows to support continuous care quality improvement.
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Affiliation(s)
- Yvonne Zurynski
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,NHMRC Partnership Centre in Health System Sustainability, Macquarie University, Sydney, New South Wales, Australia
| | - Kate Churruca
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Sarah Dalton
- Agency for Clinical Innovation, NSW Health, Sydney, New South Wales, Australia
| | - Hsuen P Ting
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Peter Damian Hibbert
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,Division of Health Sciences, Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), Adelaide, South Australia, Australia
| | - Charlotte Molloy
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,Division of Health Sciences, Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), Adelaide, South Australia, Australia
| | - Louise K Wiles
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.,Division of Health Sciences, Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), Adelaide, South Australia, Australia
| | - Carl de Wet
- Healthcare Improvement Unit, Queensland Government Clinical Excellence Division, Brisbane, Queensland, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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Sunderland N, Westbrook J, Urwin R, Knights Z, Taitz J, Williams H, Wiles LK, Molloy C, Hibbert P, Ting HP, Churruca K, Arnolda G, Braithwaite J. Appropriate management of acute gastroenteritis in Australian children: A population-based study. PLoS One 2019; 14:e0224681. [PMID: 31697706 PMCID: PMC6837505 DOI: 10.1371/journal.pone.0224681] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 10/18/2019] [Indexed: 11/18/2022] Open
Abstract
Objectives To determine the proportion of care provided to children with acute gastroenteritis (AGE) in Australia consistent with clinical practice guidelines. Methods Indicators were developed from national and international clinical practice guideline (CPG) recommendations and validated by an expert panel. Medical records from children ≤15 years presenting with AGE in three healthcare settings–Emergency Department (ED), hospital admissions and General Practitioner (GP) consultations–from randomly selected health districts across three Australian States were reviewed. Records were audited against 35 indicators by trained paediatric nurses, to determine adherence to CPGs during diagnosis, treatment, and ongoing management. Results A total of 14,434 indicator assessments were performed from 854 healthcare visits for AGE by 669 children, across 75 GPs, 34 EDs and 26 hospital inpatient services. Documented adherence to guidelines across all healthcare settings was 45.5% for indicators relating to diagnosis (95% CI: 40.7–50.4), 96.1% for treatment (95% CI: 94.8–97.1) and 57.6% for ongoing management (95% CI: 51.3–63.7). Adherence varied by healthcare setting, with adherence in GPs (54.6%; 95% CI: 51.1–58.1) lower than for either ED settings (84.7%; 95% CI: 82.4–86.9) or for inpatients (84.3%; 95% CI: 80.0–87.9); p<0.0001 for both differences. The difference between settings was driven by differences in the diagnosis and ongoing management phases of care. Conclusions Adherence to clinical guidelines for children presenting to healthcare providers with AGE varies according to phase of care and healthcare setting. Although appropriate diagnostic assessment and ongoing management phase procedures are not well documented in medical records (particularly in the GP setting), in the treatment phase children are treated in accordance with guidelines over 90% of the time.
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Affiliation(s)
- Neroli Sunderland
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Johanna Westbrook
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Rachel Urwin
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Zoe Knights
- Emergency Department, The Children’s Hospital at Westmead, Westmead, NSW, Australia
| | - Jonny Taitz
- Clinical Excellence Commission, McKell Building, Sydney, NSW, Australia
| | - Helena Williams
- Australian Commission on Safety and Quality in Health Care, Women’s and Children’s Hospital, SALHN, Adelaide, SA, Australia
| | - Louise K. Wiles
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Charlotte Molloy
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Peter Hibbert
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA, Australia
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Hsuen P. Ting
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Kate Churruca
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Gaston Arnolda
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
- * E-mail:
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Harvey G, Kelly J, Kitson A, Thornton K, Owen V. Leadership for evidence-based practice—Enforcing or enabling implementation? Collegian 2019. [DOI: 10.1016/j.colegn.2019.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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