1
|
Blake V, Jorm L, Yu J, Lee A, Gallego B, Ooi SY. Data Resource Profile: The Cardiac Analytics and Innovation (CardiacAI) Data Repository. Int J Epidemiol 2024; 53:dyae040. [PMID: 38503549 DOI: 10.1093/ije/dyae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 03/03/2024] [Indexed: 03/21/2024] Open
Affiliation(s)
- Victoria Blake
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
- Eastern Heart Clinic, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Louisa Jorm
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Jennifer Yu
- Department of Cardiology, Prince of Wales Hospital, South Eastern Sydney Local Health District, Randwick, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Astin Lee
- School of Medicine, Faculty of Science Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
- Department of Cardiology, Wollongong Hospital, Illawara Shoalhaven Local Health District, Wollongong, NSW, Australia
| | - Blanca Gallego
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Sze-Yuan Ooi
- Department of Cardiology, Prince of Wales Hospital, South Eastern Sydney Local Health District, Randwick, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| |
Collapse
|
2
|
Kabir A, Conway DP, Ansari S, Tran A, Rhee JJ, Barr M. Impact of multimorbidity and complex multimorbidity on healthcare utilisation in older Australian adults aged 45 years or more: a large population-based cross-sectional data linkage study. BMJ Open 2024; 14:e078762. [PMID: 38199624 PMCID: PMC10806611 DOI: 10.1136/bmjopen-2023-078762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/24/2023] [Indexed: 01/12/2024] Open
Abstract
OBJECTIVES As life expectancy increases, older people are living longer with multimorbidity (MM, co-occurrence of ≥2 chronic health conditions) and complex multimorbidity (CMM, ≥3 chronic conditions affecting ≥3 different body systems). We assessed the impacts of MM and CMM on healthcare service use in Australia, as little was known about this. DESIGN Population-based cross-sectional data linkage study. SETTING New South Wales, Australia. PARTICIPANTS 248 496 people aged ≥45 years who completed the Sax Institute's 45 and Up Study baseline questionnaire. PRIMARY OUTCOME High average annual healthcare service use (≥2 hospital admissions, ≥11 general practice visits and ≥2 emergency department (ED) visits) during the 3-year baseline period (year before, year of and year after recruitment). METHODS Baseline questionnaire data were linked with hospital, Medicare claims and ED datasets. Poisson regression models were used to estimate adjusted and unadjusted prevalence ratios for high service use with 95% CIs. Using a count of chronic conditions (disease count) as an alternative morbidity metric was requested during peer review. RESULTS Prevalence of MM and CMM was 43.8% and 15.5%, respectively, and prevalence increased with age. Across three healthcare settings, MM was associated with a 2.02-fold to 2.26-fold, and CMM was associated with a 1.83-fold to 2.08-fold, increased risk of high service use. The association was higher in the youngest group (45-59 years) versus the oldest group (≥75 years), which was confirmed when disease count was used as the morbidity metric in sensitivity analysis.When comparing impact using three categories with no overlap (no MM/CMM, MM with no CMM, and CMM), CMM had greater impact than MM across all settings. CONCLUSION Increased healthcare service use among older adults with MM and CMM impacts on the demand for primary care and hospital services. Which of MM or CMM has greater impact on risk of high healthcare service use depends on the analytic method used. Ageing populations living longer with increasing burdens of MM and CMM will require increased Medicare funding and provision of integrated care across the healthcare system to meet their complex needs.
Collapse
Affiliation(s)
- Alamgir Kabir
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
- The George Institute for Global Health, Sydney, NSW, Australia
| | - Damian P Conway
- Population and Community Health, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
- The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Sameera Ansari
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Health Sciences and Medicine, Bond University, Robina, Queensland, Australia
| | - An Tran
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| | - Joel J Rhee
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Margo Barr
- Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia
| |
Collapse
|
3
|
Cheng Q, Bajis S, Cunningham E, Shih STF, Schulz M, Marshall AD, Martin NK, Miners A, Hajarizadeh B, Wiseman V, Dore GJ, Grebely J. Health-related quality of life among people who inject drugs in Australia. Qual Life Res 2023; 32:3195-3207. [PMID: 37351701 PMCID: PMC10522523 DOI: 10.1007/s11136-023-03465-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 06/24/2023]
Abstract
PURPOSE There is limited research on health-related quality of life (HRQoL) among people who inject drugs (PWID). We aimed to evaluate factors associated with HRQoL among a cohort of PWID in Australia. METHODS Participants were enrolled in an observational cohort study (the LiveRLife Study) between 2014 and 2018 at 15 sites in Australia. They provided fingerstick whole-blood samples for point-of-care HCV RNA testing and underwent transient elastography to assess liver disease. Participants completed the EQ-5D-3L survey at enrolment. Regression models were used to assess the impact of clinical and socioeconomic characteristics on the EQ-5D-3L scores. RESULTS Among 751 participants (median age, 43 years; 67% male), 63% reported injection drug use in the past month, 43% had current HCV infection, and 68% had no/mild liver fibrosis (F0/F1). The mean EQ-5D-3L and EQ-VAS scores were 0.67 and 62, respectively, for the overall study population. There was no significant difference in the EQ-5D-3L scores among people with and without recent injecting drug use (mean: 0.66 vs. 0.68, median: 0.73 vs. 0.78, P = 0.405), and among people receiving and not receiving opioid agonist therapy (mean: 0.66 vs. 0.68, median: 0.73 vs. 0.76, P = 0.215). Participants who were employed were found to have the highest mean EQ-5D-3L (0.83) and EQ-VAS scores (77). The presence of current HCV infection, liver fibrosis stage, and high-risk alcohol consumption had little impact on HRQoL. CONCLUSIONS The study findings provide important HRQoL data for economic evaluations, useful for guiding the allocation of resources for HCV elimination strategies and interventions among PWID.
Collapse
Affiliation(s)
- Qinglu Cheng
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia.
| | - Sahar Bajis
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Evan Cunningham
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Sophy T F Shih
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Marcel Schulz
- St Vincent's Clinical School, UNSW Medicine, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Alison D Marshall
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
- Centre for Social Research in Health, UNSW Sydney, Sydney, NSW, Australia
| | - Natasha K Martin
- Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Alec Miners
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Behzad Hajarizadeh
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Virginia Wiseman
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK
| | - Gregory J Dore
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Jason Grebely
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| |
Collapse
|
4
|
Black E, Bruno R, Mammen K, Mills L, Siefried KJ, Deacon RM, Shakeshaft A, Dunlop AJ, Ezard N, Montebello M, Childs S, Reid D, Holmes J, Lintzeris N. Substance use, socio-demographic characteristics, and self-rated health of people seeking alcohol and other drug treatment in New South Wales: baseline findings from a cohort study. Med J Aust 2023; 219:218-226. [PMID: 37449648 DOI: 10.5694/mja2.52039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To investigate the demographic characteristics, substance use, and self-rated health of people entering treatment in New South Wales public health services for alcohol, amphetamine-type stimulants, cannabis, cocaine, or opioids use, by principal drug of concern. DESIGN Baseline findings of a cohort study; analysis of data in patient electronic medical records and NSW minimum data set for drug and alcohol treatment services. SETTING, PARTICIPANTS People completing initial Australian Treatment Outcomes Profile (ATOP) assessments on entry to publicly funded alcohol and other drug treatment services in six NSW local health districts/networks, 1 July 2016 - 30 June 2019. MAIN OUTCOME MEASURES Socio-demographic characteristics, and substance use and self-rated health (psychological, physical, quality of life) during preceding 28 days, by principal drug of concern. RESULTS Of 14 087 people included in our analysis, the principal drug of concern was alcohol for 6051 people (43%), opioids for 3158 (22%), amphetamine-type stimulants for 2534 (18%), cannabis for 2098 (15%), and cocaine for 246 (2%). Most people commencing treatment were male (9373, 66.5%), aged 20-39 years (7846, 50.4%), and were born in Australia (10 934, 86.7%). Polysubstance use was frequently reported, particularly by people for whom opioids or amphetamine-type stimulants were the principal drugs of concern. Large proportions used tobacco daily (53-82%, by principal drug of concern group) and reported poor psychological health (47-59%), poor physical health (32-44%), or poor quality of life (43-52%). CONCLUSIONS The prevalence of social disadvantage and poor health is high among people seeking assistance with alcohol, amphetamine-type stimulants, cannabis, cocaine, or opioids use problems. Given the differences in these characteristics by principal drug of concern, health services should collect comprehensive patient information during assessment to facilitate more holistic, tailored, and person-centred care.
Collapse
Affiliation(s)
- Emma Black
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- Central Clinical School, the University of Sydney, Sydney, NSW
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| | - Raimondo Bruno
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- The University of Tasmania, Hobart, TAS
| | - Kristie Mammen
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| | - Llewellyn Mills
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- Central Clinical School, the University of Sydney, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| | - Krista J Siefried
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- National Centre for Clinical Research on Emerging Drugs, University of New South Wales, Sydney, NSW
- Alcohol and Drug Service, St Vincent's Hospital Sydney, Sydney, NSW
| | - Rachel M Deacon
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- Central Clinical School, the University of Sydney, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| | - Anthony Shakeshaft
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- The Poche Centre for Indigenous Health, the University of Queensland, Brisbane, QLD
| | - Adrian J Dunlop
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- Drug and Alcohol Clinical Services, Hunter New England Local Health District, Newcastle, NSW
- The University of Newcastle, Newcastle, NSW
- Hunter Medical Research Institute, Newcastle, NSW
| | - Nadine Ezard
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- National Centre for Clinical Research on Emerging Drugs, University of New South Wales, Sydney, NSW
- Alcohol and Drug Service, St Vincent's Hospital Sydney, Sydney, NSW
| | - Mark Montebello
- Central Clinical School, the University of Sydney, Sydney, NSW
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- Drug and Alcohol Services, North Sydney Local Health District, Sydney, NSW
| | - Steven Childs
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- Drug and Alcohol Services, Central Coast Local Health District, Gosford, NSW
| | - David Reid
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
- Drug and Alcohol Services, Illawarra Shoalhaven Local Health District, Wollongong, NSW
| | - Jennifer Holmes
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| | - Nicholas Lintzeris
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW
- Central Clinical School, the University of Sydney, Sydney, NSW
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), NSW Ministry of Health, Sydney, NSW
| |
Collapse
|
5
|
Deva M, Osborne J, McGlynn A, Soars L, Loghdey S, Beath K, Gonski P, Dwyer P, Vasudeva N, Joshi P, Deva A. Disease Focused Integrated Care - a New Model of Healthcare Delivery for the Treatment of Skin Cancer. Int J Integr Care 2023; 23:12. [PMID: 37151779 PMCID: PMC10162353 DOI: 10.5334/ijic.7009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 04/21/2023] [Indexed: 05/09/2023] Open
Abstract
Introduction As the most common cancer in Australia, skin cancer generates a considerable health burden. This study outlines the establishment of a new model of integrated care for the diagnosis and management of skin cancer. Methods A new model of integrated care was established to provide access to all aspects of skin cancer management. General practitioners (GPs) were upskilled through hands-on training and a 6-month skin cancer education program and partnered with specialist Dermatologists and Plastic Surgeons co-located in the same clinic. Data including median wait times between the initial consultation and treatment were prospectively collected and compared patients seen through the integrated pathway to patients referred from their primary GP to specialist Dermatologists and Plastic Surgeons directly (non-integrated pathway). The percentage of patients needing co-consultation with a specialist in the integrated pathway was also measured over time. Results A total of 25341 patients were seen from the commencement of the clinic in August 2015 to June 2021. In 2017 and 2018 the median wait time to be treated was 7 days for the integrated model compared to 54 days (2017) and 46 days (2018) for non-integrated care (p < 0.0001). The percentage of GPs requesting specialist co-consultations for assessment of skin cancer fell from 98% in 2015, to 5.6% in 2021. Histopathology shows that 66% of lesions excised by GPs in this model were malignant or pre-malignant. Conclusions This study firstly shows a significant reduction in time to treatment in an integrated skin cancer model over traditional models of health. Secondly it demonstrates GP upskilling over time in the integrated program. Integrating GP and specialist medical practitioners in the treatment of skin cancer offers potential for more efficient, accessible, and affordable care. This cooperative, co-located model may provide a template for the integrating the management of other conditions.
Collapse
Affiliation(s)
- Maya Deva
- Integrated specialist healthcare education and research foundation, Australia
| | - Julie Osborne
- South Eastern Sydney Local Health District, Australia
| | - Anna McGlynn
- South Eastern Sydney Local Health District, Australia
| | - Linda Soars
- New South Wales Agency for Clinical Innovation, Australia
| | - Saleem Loghdey
- Integrated specialist healthcare education and research foundation, Australia
| | - Kenneth Beath
- School of Mathematical and Physical Sciences, Macquarie University, Australia
| | - Peter Gonski
- Integrated specialist healthcare education and research foundation, Australia
| | - Phil Dwyer
- Integrated specialist healthcare education and research foundation, Australia
| | - Nicholas Vasudeva
- Integrated specialist healthcare education and research foundation, Australia
| | - Preeti Joshi
- Integrated specialist healthcare education and research foundation, Australia
| | - Anand Deva
- Integrated specialist healthcare education and research foundation, Australia
| |
Collapse
|
6
|
Fibbins H, Ward PB, Curtis J, Watkins A, Lederman O, Morell R, Rosenbaum S. Effectiveness of a brief lifestyle intervention targeting mental health staff: analysis of physical fitness and activity in the Keeping Our Staff in Mind study. BMJ Open Sport Exerc Med 2020; 6:e000761. [PMID: 32685186 PMCID: PMC7359059 DOI: 10.1136/bmjsem-2020-000761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND People with mental illness die on average 15 years less than the general population, primarily to cardiometabolic disease. Lifestyle interventions are effective in reducing cardiometabolic risk but are not routinely provided to mental health consumers. Lifestyle interventions targeting mental health staff may be beneficial in changing culture surrounding physical health and subsequently improving consumer outcomes. This study examines exercise and fitness outcomes of a targeted lifestyle intervention directed at Australian mental health staff. METHODS A pragmatic single-arm intervention study was conducted within an Australian public mental health service. Mental health staff were provided a five-session individualised lifestyle intervention (incorporating exercise and nutritional counselling) over 5 weeks. Two waves of the programme were delivered between 2015 and 2016. This paper examines the exercise and fitness outcomes of the second wave of the study. Participants were assessed at baseline and at a 16-week follow-up. The primary exercise outcome was a measurement of cardiorespiratory fitness. Secondary outcomes included self-reported physical activity and a measurement of handgrip strength. RESULTS A total of 106 staff participated in this component of the study. Cardiorespiratory fitness increased significantly from baseline to follow-up (p<0.001). Significant improvements to physical activity occurred with decreases in sedentary time (p<0.0005) and increases in moderate-to-vigorous physical activity (p<0.005). CONCLUSION Lifestyle interventions incorporating exercise counselling may improve the physical health of mental health staff. Such strategies may be effective in improving culture surrounding physical health and/or increasing the effectiveness of lifestyle interventions targeting mental health consumers.
Collapse
Affiliation(s)
- Hamish Fibbins
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Philip B Ward
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Schizophrenia Research Unit, Liverpool Hospital and Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia
| | - Jackie Curtis
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Andrew Watkins
- Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
- Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Oscar Lederman
- Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
- School of Medical Science, University of New South Wales, Sydney, New South Wales, Australia
| | - Rachel Morell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Simon Rosenbaum
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Black Dog Institute, Randwick, New South Wales, Australia
| |
Collapse
|