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Mcvey L, Alvarado N, Zaman H, Healey F, Todd C, Issa B, Woodcock D, Dowding D, Hardiker NR, Lynch A, Davison E, Frost T, Abdulkader J, Randell R. Interactions that support older inpatients with cognitive impairments to engage with falls prevention in hospitals: An ethnographic study. J Clin Nurs 2024; 33:1884-1895. [PMID: 38240045 DOI: 10.1111/jocn.17006] [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: 06/20/2023] [Revised: 12/13/2023] [Accepted: 01/07/2024] [Indexed: 02/22/2024]
Abstract
AIMS To explore the nature of interactions that enable older inpatients with cognitive impairments to engage with hospital staff on falls prevention. DESIGN Ethnographic study. METHODS Ethnographic observations on orthopaedic and older person wards in English hospitals (251.25 h) and semi-structured qualitative interviews with 50 staff, 28 patients and three carers. Findings were analysed using a framework approach. RESULTS Interactions were often informal and personalised. Staff qualities that supported engagement in falls prevention included the ability to empathise and negotiate, taking patient perspectives into account. Although registered nurses had limited time for this, families/carers and other staff, including engagement workers, did so and passed information to nurses. CONCLUSIONS Some older inpatients with cognitive impairments engaged with staff on falls prevention. Engagement enabled them to express their needs and collaborate, to an extent, on falls prevention activities. To support this, we recommend wider adoption in hospitals of engagement workers and developing the relational skills that underpin engagement in training programmes for patient-facing staff. IMPLICATIONS FOR PROFESSION AND PATIENT CARE Interactions that support cognitively impaired inpatients to engage in falls prevention can involve not only nurses, but also families/carers and non-nursing staff, with potential to reduce pressures on busy nurses and improve patient safety. REPORTING METHOD The paper adheres to EQUATOR guidelines, Standards for Reporting Qualitative Research. PATIENT OR PUBLIC CONTRIBUTION Patient/public contributors were involved in study design, evaluation and data analysis. They co-authored this manuscript.
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Affiliation(s)
- Lynn Mcvey
- Centre for Digital Innovations in Health and Social Care, Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Natasha Alvarado
- Centre for Digital Innovations in Health and Social Care, Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Hadar Zaman
- School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, UK
| | - Frances Healey
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Chris Todd
- School of Health Sciences, University of Manchester, Manchester, UK
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | | | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Nicholas R Hardiker
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
| | - Alison Lynch
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | | | | | - Rebecca Randell
- Centre for Digital Innovations in Health and Social Care, Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
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Randell R, McVey L, Wright J, Zaman H, Cheong VL, Woodcock DM, Healey F, Dowding D, Gardner P, Hardiker NR, Lynch A, Todd C, Davey C, Alvarado N. Practices of falls risk assessment and prevention in acute hospital settings: a realist investigation. Health Soc Care Deliv Res 2024; 12:1-194. [PMID: 38511977 DOI: 10.3310/jwqc5771] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Background Falls are the most common safety incident reported by acute hospitals. The National Institute of Health and Care Excellence recommends multifactorial falls risk assessment and tailored interventions, but implementation is variable. Aim To determine how and in what contexts multifactorial falls risk assessment and tailored interventions are used in acute National Health Service hospitals in England. Design Realist review and multisite case study. (1) Systematic searches to identify stakeholders' theories, tested using empirical data from primary studies. Review of falls prevention policies of acute Trusts. (2) Theory testing and refinement through observation, staff interviews (n = 50), patient and carer interviews (n = 31) and record review (n = 60). Setting Three Trusts, one orthopaedic and one older person ward in each. Results Seventy-eight studies were used for theory construction and 50 for theory testing. Four theories were explored. (1) Leadership: wards had falls link practitioners but authority to allocate resources for falls prevention resided with senior nurses. (2) Shared responsibility: a key falls prevention strategy was patient supervision. This fell to nursing staff, constraining the extent to which responsibility for falls prevention could be shared. (3) Facilitation: assessments were consistently documented but workload pressures could reduce this to a tick-box exercise. Assessment items varied. While individual patient risk factors were identified, patients were categorised as high or low risk to determine who should receive supervision. (4) Patient participation: nursing staff lacked time to explain to patients their falls risks or how to prevent themselves from falling, although other staff could do so. Sensitive communication could prevent patients taking actions that increase their risk of falling. Limitations Within the realist review, we completed synthesis for only two theories. We could not access patient records before observations, preventing assessment of whether care plans were enacted. Conclusions (1) Leadership: There should be a clear distinction between senior nurses' roles and falls link practitioners in relation to falls prevention; (2) shared responsibility: Trusts should consider how processes and systems, including the electronic health record, can be revised to better support a multidisciplinary approach, and alternatives to patient supervision should be considered; (3) facilitation: Trusts should consider how to reduce documentation burden and avoid tick-box responses, and ensure items included in the falls risk assessment tools align with guidance. Falls risk assessment tools and falls care plans should be presented as tools to support practice, rather than something to be audited; (4) patient participation: Trusts should consider how they can ensure patients receive individualised information about risks and preventing falls and provide staff with guidance on brief but sensitive ways to talk with patients to reduce the likelihood of actions that increase their risk of falling. Future work (1) Development and evaluation of interventions to support multidisciplinary teams to undertake, and involve patients in, multifactorial falls risk assessment and selection and delivery of tailored interventions; (2) mixed method and economic evaluations of patient supervision; (3) evaluation of engagement support workers, volunteers and/or carers to support falls prevention. Research should include those with cognitive impairment and patients who do not speak English. Study registration This study is registered as PROSPERO CRD42020184458. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR129488) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 5. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Lynn McVey
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Judy Wright
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Hadar Zaman
- Faculty of Life Sciences, University of Bradford, Bradford, UK
| | | | | | | | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Peter Gardner
- Wolfson Centre for Applied Health Research, Bradford, UK
- Faculty of Life Sciences, University of Bradford, Bradford, UK
| | - Nicholas R Hardiker
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
| | - Alison Lynch
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Chris Todd
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | | | - Natasha Alvarado
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
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McVey L, Alvarado N, Healey F, Montague J, Todd C, Zaman H, Dowding D, Lynch A, Issa B, Randell R. Talking about falls: a qualitative exploration of spoken communication of patients' fall risks in hospitals and implications for multifactorial approaches to fall prevention. BMJ Qual Saf 2024; 33:166-172. [PMID: 37940414 DOI: 10.1136/bmjqs-2023-016481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/21/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Inpatient falls are the most common safety incident reported by hospitals worldwide. Traditionally, responses have been guided by categorising patients' levels of fall risk, but multifactorial approaches are now recommended. These target individual, modifiable fall risk factors, requiring clear communication between multidisciplinary team members. Spoken communication is an important channel, but little is known about its form in this context. We aim to address this by exploring spoken communication between hospital staff about fall prevention and how this supports multifactorial fall prevention practice. METHODS Data were collected through semistructured qualitative interviews with 50 staff and ethnographic observations of fall prevention practices (251.25 hours) on orthopaedic and older person wards in four English hospitals. Findings were analysed using a framework approach. FINDINGS We observed staff engaging in 'multifactorial talk' to address patients' modifiable risk factors, especially during multidisciplinary meetings which were patient focused rather than risk type focused. Such communication coexisted with 'categorisation talk', which focused on patients' levels of fall risk and allocating nursing supervision to 'high risk' patients. Staff negotiated tensions between these different approaches through frequent 'hybrid talk', where, as well as categorising risks, they also discussed how to modify them. CONCLUSION To support hospitals in implementing multifactorial, multidisciplinary fall prevention, we recommend: (1) focusing on patients' individual risk factors and actions to address them (a 'why?' rather than a 'who' approach); (2) where not possible to avoid 'high risk' categorisations, employing 'hybrid' communication which emphasises actions to modify individual risk factors, as well as risk level; (3) challenging assumptions about generic interventions to identify what individual patients need; and (4) timing meetings to enable staff from different disciplines to participate.
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Affiliation(s)
- Lynn McVey
- Faculty of Health Studies, University of Bradford, Bradford, UK
| | | | - Frances Healey
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Jane Montague
- Faculty of Health Studies, University of Bradford, Bradford, UK
| | - Chris Todd
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Hadar Zaman
- School of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Alison Lynch
- Manchester Clinical Academic Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Basma Issa
- Patient/public author, University of Bradford, Bradford, UK
| | - Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, UK
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Gasteiger N, van der Veer SN, Wilson P, Dowding D. Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study. J Am Med Inform Assoc 2023; 31:45-60. [PMID: 37846147 PMCID: PMC10746305 DOI: 10.1093/jamia/ocad200] [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: 05/08/2023] [Revised: 08/29/2023] [Accepted: 09/29/2023] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVES To assess the feasibility and implementation, usability, acceptability and efficacy of virtual reality (VR), and augmented reality (AR) smartphone applications for upskilling care home workers in hand hygiene and to explore underlying learning mechanisms. MATERIALS AND METHODS Care homes in Northwest England were recruited. We took a mixed-methods and pre-test and post-test approach by analyzing uptake and completion rates of AR, immersive VR or non-immersive VR training, validated and bespoke questionnaires, observations, videos, and interviews. Quantitative data were analyzed descriptively. Qualitative data were analyzed using a combined inductive and deductive approach. RESULTS Forty-eight care staff completed AR training (n = 19), immersive VR training (n = 21), or non-immersive VR training (n = 8). The immersive VR and AR training had good usability with System Usability Scale scores of 84.40 and 77.89 (of 100), respectively. They had high acceptability, with 95% of staff supporting further use. The non-immersive VR training had borderline poor usability, scoring 67.19 and only 63% would support further use. There was minimal improved knowledge, with an average of 6% increase to the knowledge questionnaire. Average hand hygiene technique scores increased from 4.77 (of 11) to 7.23 after the training. Repeated practice, task realism, feedback and reminding, and interactivity were important learning mechanisms triggered by AR/VR. Feasibility and implementation considerations included managerial support, physical space, providing support, screen size, lagging Internet, and fitting the headset. CONCLUSIONS AR and immersive VR apps are feasible, usable, and acceptable for delivering training. Future work should explore whether they are more effective than previous training and ensure equity in training opportunities.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, United Kingdom
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, The University of Manchester, Manchester, United Kingdom
- Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, United Kingdom
| | - Sabine N van der Veer
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, The University of Manchester, Manchester, United Kingdom
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, United Kingdom
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Paripoorani D, Gasteiger N, Hawley-Hague H, Dowding D. A systematic review of menopause apps with an emphasis on osteoporosis. BMC Womens Health 2023; 23:518. [PMID: 37773133 PMCID: PMC10542256 DOI: 10.1186/s12905-023-02612-9] [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] [Received: 03/10/2023] [Accepted: 08/21/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Menopause can significantly hasten bone loss. Mobile phones provide an efficient way to manage, track and understand menopause using apps. A previous review of menopause apps found numerous apps designed to help women manage menopause. However, it did not use validated measures to assess the quality of the apps and did not focus on content related to osteoporosis. METHODS This app review aligns with the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The keywords used to search for the apps were "menopause" and "menopausal". Apps were included if they were in English, for individuals or groups and had a lifestyle focus. Apps that looked at other aspects of women's health, required external devices, cost to download, or were symptom-tracking were excluded. The quality and functionality were assessed using the Mobile App Rating Scale and IMS Institute for Healthcare Informatics Functionality score. Data were synthesised descriptively. RESULTS Twenty-eight apps were selected and reviewed from the 236 apps screened from the Apple store and Google play store. Only 57% of the apps reviewed (n = 16) had content on osteoporosis which was educational in purpose. The readability of the apps was complex and best understood by university graduates. The average functionality score of the apps reviewed was 4.57 out of 11 and that of quality is 3.1 out of 5, both of which need improvement. CONCLUSIONS Existing menopause apps need more input from experts to improve the quality and functionality, using simple language. More emphasis on specific health problems during menopause, including osteoporosis, is required. TRIAL REGISTRATION Not relevant.
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Affiliation(s)
- Deborah Paripoorani
- EMERGING Research Team, Manchester Royal Infirmary, Manchester, UK.
- National Institute for Health and Care Research, Applied Research Collaboration Greater Manchester, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
| | - Norina Gasteiger
- National Institute for Health and Care Research, Applied Research Collaboration Greater Manchester, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Helen Hawley-Hague
- National Institute for Health and Care Research, Applied Research Collaboration Greater Manchester, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Dawn Dowding
- National Institute for Health and Care Research, Applied Research Collaboration Greater Manchester, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
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Dowding D, Skyrme S, Randell R, Newbould L, Faisal M, Hardiker N. Researching nurses' use of digital technology during the COVID-19 pandemic. Nurs Stand 2023; 38:63-68. [PMID: 37157913 DOI: 10.7748/ns.2023.e12013] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2022] [Indexed: 05/10/2023]
Abstract
The adoption of digital technology by nurses accelerated during the coronavirus disease 2019 (COVID-19) pandemic. However, not all nurses were familiar with the various digital systems used in their organisations and there were reports of digital technology not being fit for purpose. This article describes a service evaluation that used an online survey to obtain nurses' feedback on the digital systems used to support patient care during the pandemic. Fifty-five respondents provided details about 85 separate digital systems. The usability of these systems varied significantly across technology types, while barriers to their use included nurses' lack of digital literacy and inadequate access to IT infrastructure. However, most of the nurse respondents felt that digital technology had supported effective patient care during the COVID-19 pandemic.
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Affiliation(s)
- Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, England
| | - Sarah Skyrme
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, England
| | - Rebecca Randell
- faculty of health studies, University of Bradford, Bradford, England
| | - Louise Newbould
- Department For Social Policy And Social Work, University of York, York, England
| | - Muhammad Faisal
- Faculty of Health Studies, University of Bradford, Bradford, England
| | - Nick Hardiker
- School of Human And Health Sciences, University of Huddersfield, Huddersfield, England
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Alvarado N, McVey L, Wright J, Healey F, Dowding D, Cheong VL, Gardner P, Hardiker N, Lynch A, Zaman H, Smith H, Randell R. Exploring variation in implementation of multifactorial falls risk assessment and tailored interventions: a realist review. BMC Geriatr 2023; 23:381. [PMID: 37344760 DOI: 10.1186/s12877-023-04045-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/16/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Falls are the most common safety incident reported by acute hospitals. In England national guidance recommends delivery of a multifactorial falls risk assessment (MFRA) and interventions tailored to address individual falls risk factors. However, there is variation in how these practices are implemented. This study aimed to explore the variation by examining what supports or constrains delivery of MFRAs and tailored interventions in acute hospitals. METHODS A realist review of literature was conducted with searches completed in three stages: (1) to construct hypotheses in the form of Context, Mechanism, Outcome configurations (CMOc) about how MFRAs and interventions are delivered, (2) to scope the breadth and depth of evidence available in Embase to test the CMOcs, and (3) following prioritisation of CMOcs, to refine search strategies for use in multiple databases. Citations were managed in EndNote; titles, abstracts, and full texts were screened, with 10% independently screened by two reviewers. RESULTS Two CMOcs were prioritised for testing labelled: Facilitation via MFRA tools, and Patient Participation in interventions. Analysis indicated that MFRA tools can prompt action, but the number and type of falls risk factors included in tools differ across organisations leading to variation in practice. Furthermore, the extent to which tools work as prompts is influenced by complex ward conditions such as changes in patient condition, bed swaps, and availability of falls prevention interventions. Patient participation in falls prevention interventions is more likely where patient directed messaging takes individual circumstances into account, e.g., not wanting to disturb nurses by using the call bell. However, interactions that elicit individual circumstances can be resource intensive and patients with cognitive impairment may not be able to participate despite appropriately directed messaging. CONCLUSIONS Organisations should consider how tools can be developed in ways that better support consistent and comprehensive identification of patients' individual falls risk factors and the complex ward conditions that can disrupt how tools work as facilitators. Ward staff should be supported to deliver patient directed messaging that is informed by their individual circumstances to encourage participation in falls prevention interventions, where appropriate. TRIAL REGISTRATION PROSPERO: CRD42020184458.
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Affiliation(s)
- Natasha Alvarado
- Wolfson Centre for Applied Health Research, Bradford, UK.
- University of Bradford, Bradford, UK.
| | - Lynn McVey
- Wolfson Centre for Applied Health Research, Bradford, UK
- University of Bradford, Bradford, UK
| | - Judy Wright
- University of Leeds, Leeds, West Yorkshire, UK
| | | | | | | | - Peter Gardner
- Wolfson Centre for Applied Health Research, Bradford, UK
- University of Bradford, Bradford, UK
| | | | - Alison Lynch
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Heather Smith
- Leeds Office of NHS West Yorkshire Integrated Care, Leeds, UK
| | - Rebecca Randell
- Wolfson Centre for Applied Health Research, Bradford, UK
- University of Bradford, Bradford, UK
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Gasteiger N, Dowding D, Norman G, McGarrigle L, Eost-Telling C, Jones D, Vercell A, Ali SM, O'Connor S. Conducting a systematic review and evaluation of commercially available mobile applications (apps) on a health-related topic: the TECH approach and a step-by-step methodological guide. BMJ Open 2023; 13:e073283. [PMID: 37308269 PMCID: PMC10277147 DOI: 10.1136/bmjopen-2023-073283] [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: 03/01/2023] [Accepted: 05/25/2023] [Indexed: 06/14/2023] Open
Abstract
OBJECTIVES To provide an overview of the methodological considerations for conducting commercial smartphone health app reviews (mHealth reviews), with the aim of systematising the process and supporting high-quality evaluations of mHealth apps. DESIGN Synthesis of our research team's experiences of conducting and publishing various reviews of mHealth apps available on app stores and hand-searching the top medical informatics journals (eg, The Lancet Digital Health, npj Digital Medicine, Journal of Biomedical Informatics and the Journal of the American Medical Informatics Association) over the last five years (2018-2022) to identify other app reviews to contribute to the discussion of this method and supporting framework for developing a research (review) question and determining the eligibility criteria. RESULTS We present seven steps to support rigour in conducting reviews of health apps available on the app market: (1) writing a research question or aims, (2) conducting scoping searches and developing the protocol, (3) determining the eligibility criteria using the TECH framework, (4) conducting the final search and screening of health apps, (5) data extraction, (6) quality, functionality and other assessments and (7) analysis and synthesis of findings. We introduce the novel TECH approach to developing review questions and the eligibility criteria, which considers the Target user, Evaluation focus, Connectedness and the Health domain. Patient and public involvement and engagement opportunities are acknowledged, including co-developing the protocol and undertaking quality or usability assessments. CONCLUSION Commercial mHealth app reviews can provide important insights into the health app market, including the availability of apps and their quality and functionality. We have outlined seven key steps for conducting rigorous health app reviews in addition to the TECH acronym, which can support researchers in writing research questions and determining the eligibility criteria. Future work will include a collaborative effort to develop reporting guidelines and a quality appraisal tool to ensure transparency and quality in systematic app reviews.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Gill Norman
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Lisa McGarrigle
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Manchester, UK
| | - Charlotte Eost-Telling
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Debra Jones
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Amy Vercell
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - Syed Mustafa Ali
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK
| | - Siobhan O'Connor
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
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Gasteiger N, Vercell A, Khan N, Dowding D, Davies AC, Davies A. Digital interventions for genomics and genetics education, empowerment, and service engagement: A systematic review. J Community Genet 2023:10.1007/s12687-023-00648-w. [PMID: 37198378 DOI: 10.1007/s12687-023-00648-w] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Patient-facing digital technologies may reduce barriers to and alleviate the burden on genetics services. However, no work has synthesised the evidence for patient-facing digital interventions for genomics/genetics education and empowerment, or to facilitate service engagement more broadly. It is also unclear which groups have been engaged by digital interventions. AIM This systematic review explores which existing patient-facing digital technologies have been used for genomics/genetics education and empowerment, or to facilitate service engagement, and for whom and for which purposes the interventions have been developed. METHODS The review adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Eight databases were searched for literature. Information was extracted into an Excel sheet and analysed in a narrative manner. Quality assessments were conducted using the Mixed Methods Appraisal Tool. RESULTS Twenty-four studies were included, of which 21 were moderate or high quality. The majority (88%) were conducted in the United States of America or within a clinical setting (79%). More than half (63%) of the interventions were web-based tools, and almost all focussed on educating users (92%). There were promising results regarding educating patients and their families and facilitating engagement with genetics services. Few of the studies focussed on empowering patients or were community-based. CONCLUSION Digital interventions may be used to deliver information about genetics concepts and conditions, and positively impact service engagement. However, there is insufficient evidence related to empowering patients and engaging underserved communities or consanguineous couples. Future work should focus on co-developing content with end users and incorporating interactive features.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Amy Vercell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK
| | - Naz Khan
- Genomic Medicine, St. Mary's Hospital, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Angela C Davies
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Alan Davies
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
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McMillan B, Davidge G, Nadeem F, Dowding D, Wilson K, Davies A. Navigating the electronic health record in university education: helping health care professionals of the future prepare for 21st century practice. BMJ Health Care Inform 2023; 30:bmjhci-2022-100722. [PMID: 36914229 PMCID: PMC10016237 DOI: 10.1136/bmjhci-2022-100722] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/19/2023] [Indexed: 03/16/2023] Open
Affiliation(s)
- Brian McMillan
- Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Gail Davidge
- Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Fatima Nadeem
- Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Kurt Wilson
- Manchester Medical School, The University of Manchester, Manchester, UK
| | - Angela Davies
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK
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11
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Vercell A, Gasteiger N, Yorke J, Dowding D. Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records. Int J Med Inform 2023; 170:104931. [PMID: 36462398 DOI: 10.1016/j.ijmedinf.2022.104931] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/30/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE Enabling cancer patients to self-manage symptoms through mobile applications can result in more informed, autonomous patients who are partners in their care, consequently reducing the burden on health services. Electronic patient reported outcomes completed before a clinical review can increase the frequency and quality of holistic assessments, while integration into electronic health records can maximise clinical utility. The ability of apps to integrate with electronic health records is key to providing a real-time interface between patient reports and healthcare response. This review identifies patient-facing cancer apps which can record patient reported outcomes, and explores their purpose, functionality, quality, and ability to integrate with electronic health records. METHODS A systematic app review and content synthesis was conducted on patient-facing cancer apps available in the United Kingdom. Where applicable, the review aligned with the Preferred Reporting Items for Systematic Reviews and meta-Analysis. Two validated scales assessed functionality and quality: The IMS Institute for Healthcare Informatics functionality score and the Mobile App Rating Scale. Flesch-Kincaid metrics explored readability. RESULTS Apple App and Google Play stores identified 405 apps, of which 12 met the eligibility criteria. All were free to download, 1 (8%) had in-app purchases/subscriptions. Nine (75%) were affiliated with a professional health body/charity. Six (50%) analysed inputted data and provided medical advice based on answers. The average Flesch Reading Ease score was 42.7 out of 100. The apps had an average of 7.3 functions each and a mean MARS score of 4/5. None integrated with electronic health records. CONCLUSION While many cancer apps exist, few enable patient reported outcomes to be recorded and shared with clinicians in real-time. Further research is warranted to explore the feasibility of integrating with electronic health records, as this function can improve patient experience and outcomes, and increase efficiency of hospital resources through more proactive care.
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Affiliation(s)
- Amy Vercell
- The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, United Kingdom; Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, United Kingdom.
| | - Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, United Kingdom; Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Janelle Yorke
- The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, United Kingdom; Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, United Kingdom
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12
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Ullah A, Whittaker W, Bradley F, Nelson PA, Dowding D, Morciano M, Cullum N. The use and impact of digital COVID-19 tracking in adult social care: a prospective cohort study of care homes in Greater Manchester. BMC Infect Dis 2023; 23:47. [PMID: 36690927 PMCID: PMC9869837 DOI: 10.1186/s12879-022-07939-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/10/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND To support proactive care during the coronavirus pandemic, a digital COVID-19 symptom tracker was deployed in Greater Manchester (UK) care homes. This study aimed to understand what factors were associated with the post-uptake use of the tracker and whether the tracker had any effects in controlling the spread of COVID-19. METHODS Daily data on COVID-19, tracker uptake and use, and other key indicators such as staffing levels, the number of staff self-isolating, availability of personal protective equipment, bed occupancy levels, and any problems in accepting new residents were analysed for 547 care homes across Greater Manchester for the period April 2020 to April 2021. Differences in tracker use across local authorities, types of care homes, and over time were assessed using correlated effects logistic regressions. Differences in numbers of COVID-19 cases in homes adopting versus not adopting the tracker were compared via event design difference-in-difference estimations. RESULTS Homes adopting the tracker used it on 44% of days post-adoption. Use decreased by 88% after one year of uptake (odds ratio 0.12; 95% confidence interval 0.06-0.28). Use was highest in the locality initiating the project (odds ratio 31.73; 95% CI 3.76-268.05). Care homes owned by a chain had lower use (odds ratio 0.30; 95% CI 0.14-0.63 versus single ownership care homes), and use was not associated with COVID-19 or staffing levels. Tracker uptake had no impact on controlling COVID-19 spread. Staff self-isolating and local area COVID-19 cases were positively associated with lagged COVID-19 spread in care homes (relative risks 1.29; 1.2-1.4 and 1.05; 1.0-1.1, respectively). CONCLUSIONS The use of the COVID-19 symptom tracker in care homes was not maintained except in Locality 1 and did not appear to reduce the COVID-19 spread. COVID-19 cases in care homes were mainly driven by care home local-area COVID-19 cases and infections among the staff members. Digital deterioration trackers should be co-produced with care home staff, and local authorities should provide long-term support in their adoption and use.
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Affiliation(s)
- Akbar Ullah
- grid.5379.80000000121662407Manchester Centre for Health Economics, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - William Whittaker
- grid.5379.80000000121662407Manchester Centre for Health Economics, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Fay Bradley
- grid.5379.80000000121662407Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Pauline A. Nelson
- grid.5379.80000000121662407Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Dawn Dowding
- grid.5379.80000000121662407Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Marcello Morciano
- grid.7548.e0000000121697570Department of Economics, University of Modena and Reggio Emilia, Via Università, 4, 41121 Modena, MO Italy
| | - Nicky Cullum
- grid.5379.80000000121662407Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
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13
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Nelson PA, Bradley F, Ullah A, Whittaker W, Brunton L, Calovski V, Money A, Dowding D, Cullum N, Wilson P. Implementation, uptake and use of a digital COVID-19 symptom tracker in English care homes in the coronavirus pandemic: a mixed-methods, multi-locality case study. Implement Sci Commun 2023; 4:7. [PMID: 36650559 PMCID: PMC9843982 DOI: 10.1186/s43058-022-00387-y] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 12/19/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND COVID-19 spread rapidly in UK care homes for older people in the early pandemic. National infection control recommendations included remote resident assessment. A region in North-West England introduced a digital COVID-19 symptom tracker for homes to identify early signs of resident deterioration to facilitate care responses. We examined the implementation, uptake and use of the tracker in care homes across four geographical case study localities in the first year of the pandemic. METHODS This was a rapid, mixed-methods, multi-locality case study. Tracker uptake was calculated using the number of care homes taking up the tracker as a proportion of the total number of care homes in a locality. Mean tracker use was summarised at locality level and compared. Semi-structured interviews were conducted with professionals involved in tracker implementation and used to explore implementation factors across localities. Template Analysis with the Consolidated Framework for Implementation Research (CFIR) guided the interpretation of qualitative data. RESULTS Uptake varied across the four case study localities ranging between 13.8 and 77.8%. Tracker use decreased in all localities over time at different rates, with average use ranging between 18 and 58%. The implementation context differed between localities and the process of implementation deviated over time from the initially planned strategy, for stakeholder engagement and care homes' training. Four interpretative themes reflected the most influential factors appearing to affect tracker uptake and use: (1) the process of implementation, (2) implementation readiness, (3) clarity of purpose/perceived value and (4) relative priority in the context of wider system pressures. CONCLUSIONS Our study findings resonate with the digital solutions evidence base prior to the COVID-19 pandemic, suggesting three key factors that can inform future development and implementation of rapid digital responses in care home settings even in times of crisis: an incremental approach to implementation with testing of organisational readiness and attention to implementation climate, particularly the innovation's fit with local contexts (i.e. systems, infrastructure, work processes and practices); involvement of end-users in innovation design and development; and enabling users' easy access to sustained, high-quality, appropriate training and support to enable staff to adapt to digital solutions.
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Affiliation(s)
- Pauline A. Nelson
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Fay Bradley
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Akbar Ullah
- grid.5379.80000000121662407Manchester Centre for Health Economics, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Will Whittaker
- grid.5379.80000000121662407Manchester Centre for Health Economics, Faculty of Biology Medicine and Health, The University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Lisa Brunton
- grid.5379.80000000121662407Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL UK
| | - Vid Calovski
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Annemarie Money
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Dawn Dowding
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Nicky Cullum
- grid.5379.80000000121662407Division of Nursing, Midwifery & Social Work, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Room 6.312, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL UK
| | - Paul Wilson
- grid.5379.80000000121662407Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL UK
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14
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Borycki E, Taylor S, Yorke J, Dowding D. Assessing the Acceptability of Home Blood Monitoring for Patients With Cancer Who Are Receiving Systemic Anticancer Therapy From a Patient, Caregiver, and Clinician Perspective: Focus Group and Interview Study. JMIR Nurs 2023; 6:e39815. [PMID: 36607709 PMCID: PMC9862331 DOI: 10.2196/39815] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/09/2022] [Accepted: 09/09/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Regular blood testing is an integral part of systemic anticancer therapy delivery. Blood tests are required before every administration of treatment to ensure that a patient is sufficiently well to receive it. Blood testing is burdensome for patients as they require either an extra visit within 48 hours of planned administration of treatment or a significantly long visit if performed on the day of treatment. The additional time for appointments can have a significant impact on the quality of life of someone who is living with cancer. In the United Kingdom, the COVID-19 pandemic created unprecedented disruption to the delivery of cancer care. Face-to-face hospital visits were reduced, resulting in the need to develop more innovative ways of working to minimize treatment interruptions. This led to significant uptake of digital technologies, with new models of care rapidly deployed across the UK health service to meet these challenges. OBJECTIVE This study aimed to explore the acceptability of a point-of-care home blood monitoring device for people with cancer who are receiving systemic anticancer therapy, which is being developed in response to the increased need for remote care for patients with cancer. METHODS Qualitative focus groups and semistructured interviews were conducted with patients (23/47, 49%), caregivers (6/47, 13%), and health care professionals (18/47, 38%) over a 19-month time frame from May 2019 to December 2020. Data were analyzed using framework analysis guided by the Unified Theory of Acceptance and Use of Technology model. RESULTS Analysis identified 4 overarching themes: performance expectancy, effort expectancy, social influence, and facilitating conditions. CONCLUSIONS This study found that patients with cancer, their caregivers, and health care professionals had positive perceptions about home blood monitoring. Although they are often considered synonymously, self-testing and self-management are not mutually exclusive, and this study illustrated some disparity in opinions regarding patient self-management. Home blood monitoring has the potential to provide patients with cancer with a convenient option for blood monitoring. It would minimize hospital attendances, decrease late treatment deferrals, and provide prompt recognition of cancer treatment toxicities, thus enhancing the existing nurse-led protocols and clinical pathways. Home blood monitoring would create a long-term sustainable transformation for the delivery of cancer care, using digital health to act as a facilitator to address a pertinent issue regarding improving the efficiency of hospital resources and increasing the delivery of personalized patient care. Further studies are needed to determine how and where home blood monitoring would fit within clinical pathways, in a way that is robust and equitable.
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Affiliation(s)
| | - Sally Taylor
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Janelle Yorke
- The Christie NHS Foundation Trust, Manchester, United Kingdom.,Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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15
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Oikonomidi T, Norman G, McGarrigle L, Stokes J, van der Veer SN, Dowding D. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review. J Am Med Inform Assoc 2022; 30:559-569. [PMID: 36508503 PMCID: PMC9933067 DOI: 10.1093/jamia/ocac242] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/24/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Outpatient no-shows have important implications for costs and the quality of care. Predictive models of no-shows could be used to target intervention delivery to reduce no-shows. We reviewed the effectiveness of predictive model-based interventions on outpatient no-shows, intervention costs, acceptability, and equity. MATERIALS AND METHODS Rapid systematic review of randomized controlled trials (RCTs) and non-RCTs. We searched Medline, Cochrane CENTRAL, Embase, IEEE Xplore, and Clinical Trial Registries on March 30, 2022 (updated on July 8, 2022). Two reviewers extracted outcome data and assessed the risk of bias using ROB 2, ROBINS-I, and confidence in the evidence using GRADE. We calculated risk ratios (RRs) for the relationship between the intervention and no-show rates (primary outcome), compared with usual appointment scheduling. Meta-analysis was not possible due to heterogeneity. RESULTS We included 7 RCTs and 1 non-RCT, in dermatology (n = 2), outpatient primary care (n = 2), endoscopy, oncology, mental health, pneumology, and an magnetic resonance imaging clinic. There was high certainty evidence that predictive model-based text message reminders reduced no-shows (1 RCT, median RR 0.91, interquartile range [IQR] 0.90, 0.92). There was moderate certainty evidence that predictive model-based phone call reminders (3 RCTs, median RR 0.61, IQR 0.49, 0.68) and patient navigators reduced no-shows (1 RCT, RR 0.55, 95% confidence interval 0.46, 0.67). The effect of predictive model-based overbooking was uncertain. Limited information was reported on cost-effectiveness, acceptability, and equity. DISCUSSION AND CONCLUSIONS Predictive modeling plus text message reminders, phone call reminders, and patient navigator calls are probably effective at reducing no-shows. Further research is needed on the comparative effectiveness of predictive model-based interventions addressed to patients at high risk of no-shows versus nontargeted interventions addressed to all patients.
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Affiliation(s)
- Theodora Oikonomidi
- Corresponding Author: Theodora Oikonomidi, PhD, Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK;
| | - Gill Norman
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Laura McGarrigle
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonathan Stokes
- Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, UK,MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK,National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK
| | - Dawn Dowding
- National Institute for Health and Care Research Applied Research Collaboration Greater Manchester, Manchester, UK,Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
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16
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O'Connor S, Yan Y, Thilo FJS, Felzmann H, Dowding D, Lee JJ. Artificial intelligence in nursing and midwifery: A systematic review. J Clin Nurs 2022. [PMID: 35908207 DOI: 10.1111/jocn.16478] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 07/04/2022] [Accepted: 07/18/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND Artificial Intelligence (AI) techniques are being applied in nursing and midwifery to improve decision-making, patient care and service delivery. However, an understanding of the real-world applications of AI across all domains of both professions is limited. OBJECTIVES To synthesise literature on AI in nursing and midwifery. METHODS CINAHL, Embase, PubMed and Scopus were searched using relevant terms. Titles, abstracts and full texts were screened against eligibility criteria. Data were extracted, analysed, and findings were presented in a descriptive summary. The PRISMA checklist guided the review conduct and reporting. RESULTS One hundred and forty articles were included. Nurses' and midwives' involvement in AI varied, with some taking an active role in testing, using or evaluating AI-based technologies; however, many studies did not include either profession. AI was mainly applied in clinical practice to direct patient care (n = 115, 82.14%), with fewer studies focusing on administration and management (n = 21, 15.00%), or education (n = 4, 2.85%). Benefits reported were primarily potential as most studies trained and tested AI algorithms. Only a handful (n = 8, 7.14%) reported actual benefits when AI techniques were applied in real-world settings. Risks and limitations included poor quality datasets that could introduce bias, the need for clinical interpretation of AI-based results, privacy and trust issues, and inadequate AI expertise among the professions. CONCLUSION Digital health datasets should be put in place to support the testing, use, and evaluation of AI in nursing and midwifery. Curricula need to be developed to educate the professions about AI, so they can lead and participate in these digital initiatives in healthcare. RELEVANCE FOR CLINICAL PRACTICE Adult, paediatric, mental health and learning disability nurses, along with midwives should have a more active role in rigorous, interdisciplinary research evaluating AI-based technologies in professional practice to determine their clinical efficacy as well as their ethical, legal and social implications in healthcare.
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Affiliation(s)
- Siobhán O'Connor
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Yongyang Yan
- School of Nursing, The University of Hong Kong, Pokfulam, Hong Kong
| | - Friederike J S Thilo
- Applied Research and Development in Nursing, Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland
| | - Heike Felzmann
- School of Humanities, National University of Ireland Galway, Galway, Ireland
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Jung Jae Lee
- School of Nursing, The University of Hong Kong, Pokfulam, Hong Kong
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17
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Dwyer L, Dowding D, Kearney R. What are the barriers and facilitators to self-management of chronic conditions reported by women? A systematic review. BMJ Open 2022; 12:e061655. [PMID: 35858726 PMCID: PMC9305798 DOI: 10.1136/bmjopen-2022-061655] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Pelvic organ prolapse (POP) can be effectively managed using a pessary. A scoping review found that pessary self-management appears to benefit women with no increased risk. Despite this, many are unwilling to self-manage their pessary. At present, there is a lack of understanding about what affects willingness to self-manage a pessary. However, there may be relevant, transferable findings from other literature about barriers to the self-management of other chronic conditions. Therefore, this systematic review aims to identify, appraise and synthesise the findings of published qualitative research exploring the barriers and facilitators to self-management of chronic conditions reported by women. METHODS AND ANALYSIS The systematic review will be conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and a guide for the systematic review of qualitative data. A search of MEDLINE, CINAHL, Embase and PsycInfo will be undertaken to identify relevant articles that meet the eligibility criteria using the search terms 'Women', 'Woman' 'Female,' 'Chronic', 'Long-term', 'Disease', 'Illness', 'Condition' 'Health,' 'Self-management,' 'Qualitative,' 'Barrier' and 'Facilitator'. A hand search of the reference list of non-original research identified during the search but excluded will be conducted for additional publications, which meet the inclusion and exclusion criteria. Studies published before 2005 and those not available in English will be excluded. Data relevant to the topic will be extracted and critical appraisal of all included publications undertaken. ETHICS AND DISSEMINATION No ethical or Health Research Authority approval is required to undertake the systematic review. The systematic review findings will be disseminated by publication. The findings will also inform subsequent exploratory work regarding pessary self-management. PROSPERO REGISTRATION NUMBER CRD42022327643.
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Affiliation(s)
- Lucy Dwyer
- The Warrell Unit, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Nursing, Midwifery and Social Work, The University of Manchester School of Health Sciences, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester School of Health Sciences, Manchester, UK
| | - Rohna Kearney
- The Warrell Unit, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Institute of Human Development, Faculty of Medical & Human Sciences, University of Manchester, Manchester, UK
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18
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Dwyer L, Dowding D, Kearney R. What is known from the existing literature about self-management of pessaries for pelvic organ prolapse? A scoping review. BMJ Open 2022; 12:e060223. [PMID: 35851026 PMCID: PMC9297214 DOI: 10.1136/bmjopen-2021-060223] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Pelvic organ prolapse can be managed with a pessary. However, regular follow-up may deter women due to the inconvenience of frequent appointments, as well as preventing autonomous decision making. Pessary self-management may be a solution to these issues. However, there remains a number of uncertainties regarding pessary self-management. This scoping review aims to map available evidence about pessary self-management to identify knowledge gaps providing the basis for future research. DESIGN Scoping review as detailed in the review protocol. DATA SOURCES A search of MEDLINE, CINAHL, EMBASE and PsycINFO databases and a handsearch were undertaken during May 2021 to identify relevant articles using the search terms 'pessary' and 'self-management' or 'self-care'. DATA EXTRACTION AND SYNTHESIS Data relevant to pessary self-management was extracted and the Mixed Methods Appraisal Tool used to assess empirical rigour. Thematic analysis was performed to evaluate the results. RESULTS The database search identified 82 publications. After duplicates and articles not meeting the inclusion and exclusion criteria were removed, there were 23 eligible articles. A hand search revealed a further 19 articles, resulting in a total of 42 publications.Findings relevant to pessary self-management were extracted and analysed for the emergence of themes. Recurrent themes in the literature were; the characteristics of self-managing women; pessary care; factors associated with decision making about self-management; teaching self-management and cost benefit. CONCLUSIONS Pessary self-management may offer benefits to some women without increased risk. Some women do not feel willing or able to self-manage their pessary. However, increased support may help women overcome this. Further in-depth exploration of factors which affect women's willingness to self-manage their pessary is indicated to ensure better understanding and support as available for other conditions.
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Affiliation(s)
- Lucy Dwyer
- The Warrell Unit, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Nursing, Midwifery and Social Work, The University of Manchester School of Health Sciences, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester School of Health Sciences, Manchester, UK
| | - R Kearney
- The Warrell Unit, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Institute of Human Development, Faculty of Medical & Human Sciences, University of Manchester, Manchester, UK
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19
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McInerney C, Benn J, Dowding D, Habli I, Jenkins DA, McCrorie C, Peek N, Randell R, Williams R, Johnson OA. Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health. Stud Health Technol Inform 2022; 290:364-368. [PMID: 35673036 DOI: 10.3233/shti220097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The fourth industrial revolution is based on cyber-physical systems and the connectivity of devices. It is currently unclear what the consequences are for patient safety as existing digital health technologies become ubiquitous with increasing pace and interact in unforeseen ways. In this paper, we describe the output from a workshop focused on identifying the patient safety challenges associated with emerging digital health technologies. We discuss six challenges identified in the workshop and present recommendations to address the patient safety concerns posed by them. A key implication of considering the challenges and opportunities for Patient Safety Informatics is the interdisciplinary contribution required to study digital health technologies within their embedded context. The principles underlying our recommendations are those of proactive and systems approaches that relate the social, technical and regulatory facets underpinning patient safety informatics theory and practice.
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Affiliation(s)
- Ciarán McInerney
- School of Computing, University of Leeds, Leeds, United Kingdom.,NIHR Yorkshire and Humber Patient Safety Translational Research Centre, United Kingdom
| | - Jonathan Benn
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, United Kingdom.,School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Ibrahim Habli
- Department of Computer Sciences, University of York, York, United Kingdom
| | - David A Jenkins
- School of Health Sciences, University of Manchester, Manchester, United Kingdom.,NIHR Greater Manchester Patient Safety Translational Research Centre, United Kingdom
| | - Carolyn McCrorie
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, United Kingdom
| | - Niels Peek
- School of Health Sciences, University of Manchester, Manchester, United Kingdom.,NIHR Greater Manchester Patient Safety Translational Research Centre, United Kingdom
| | - Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, United Kingdom.,Wolfson Centre for Applied Health Research, Bradford, United Kingdom
| | - Richard Williams
- School of Health Sciences, University of Manchester, Manchester, United Kingdom.,NIHR Greater Manchester Patient Safety Translational Research Centre, United Kingdom
| | - Owen A Johnson
- School of Computing, University of Leeds, Leeds, United Kingdom.,NIHR Yorkshire and Humber Patient Safety Translational Research Centre, United Kingdom
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20
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Lichtner V, Dowding D. Mindful Workarounds in Bar Code Medication Administration. Stud Health Technol Inform 2022; 294:740-744. [PMID: 35612195 DOI: 10.3233/shti220575] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Bar-Coded Medication Administration systems (BCMA) are often used with workarounds. These workarounds are usually judged against standard operating procedures or the use of the technology as 'designers' intended'. However, some workarounds may be reasonable and justified to prevent safety errors. In this conceptual paper, we clarify BCMA safety mechanisms and provide a framework to identify workarounds with BCMA that nullify the error prevention mechanisms inherent in the technology design and process. We also highlight the importance of understanding the purpose behind a nurse's workaround in BCMA, focusing on the notion of mindful (thoughtful) workarounds that have the potential to improve patient safety.
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Affiliation(s)
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, UK
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21
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Laverty L, Gandrup J, Sharp CA, Ercia A, Sanders C, Dowding D, Dixon WG, van der Veer SN. Using patient-generated health data in clinical practice: How timing influences its function in rheumatology outpatient consultations. Patient Educ Couns 2022; 105:625-631. [PMID: 34238651 DOI: 10.1016/j.pec.2021.06.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE Utilizing patient-generated health data (PGHD) in clinical consultations and informing clinical and shared decision-making processes has the potential to improve clinical practice but has proven challenging to implement. Looking at consultations between people with rheumatoid arthritis (RA) and rheumatologists, this study examines when and how daily PGHD was discussed in outpatient consultations. METHODS We conducted a secondary qualitative analysis of 17 audio-recorded research outpatient consultations using thematic and interactional approaches. RESULTS Clinicians decided when to look at the PGHD and what symptoms to prioritise during the consultation. When PGHD was introduced early in consultations, it was usually used to invite patients to collaborate (elicit new information). When introduced later, PGHD was used to corroborate patient accounts and to convince the patient about proposed actions and treatments. Clinicians occasionally disregarded PGHD if it did not fit into their clinical assessment. CONCLUSION The time that PGHD is introduced may influence how PGHD is used in consultations. Further research is needed to understand how best to empower patients to discuss PGHD. PRACTICE IMPLICATIONS Educating patients and clinicians about the importance of timing and strategies when using PGHD in consultations may help promote shared decision-making.
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Affiliation(s)
- Louise Laverty
- Centre for Health Informatics, University of Manchester, Manchester, UK.
| | - Julie Gandrup
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - Charlotte A Sharp
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK; National Institute for Health Research School for Primary Care Research, University of Manchester, Manchester, UK; The Kellgren Centre for Rheumatology, Manchester University NHS Foundation Trust, Manchester, UK
| | - Angelo Ercia
- Centre for Health Informatics, University of Manchester, Manchester, UK
| | - Caroline Sanders
- National Institute for Health Research School for Primary Care Research, University of Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - William G Dixon
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK; Rheumatology Department, Salford Royal NHS Foundation Trust, Salford, UK; NIHR Greater Manchester Biomedical Research Centre, University of Manchester, Manchester, UK
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22
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Gasteiger N, Vercell A, Davies A, Dowding D, Khan N, Davies A. Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality. J Community Genet 2022; 13:171-182. [PMID: 35182377 PMCID: PMC8941009 DOI: 10.1007/s12687-022-00579-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 01/24/2022] [Indexed: 11/26/2022] Open
Abstract
Close relative (consanguineous) marriage is widely practised globally, and it increases the risk of genetic disorders. Mobile apps may increase awareness and education regarding the associated risks in a sensitive, engaging, and accessible manner. This systematic review of patient-facing genetic/genomic mobile apps explores content, function, and quality. We searched the NHS Apps Library and the UK Google Play and Apple App stores for patient-facing genomic/genetic smartphone apps. Descriptive information and information on content was extracted and summarized. Readability was examined using the Flesch–Kincaid metrics. Two raters assessed each app, using the Mobile App Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality score. A total of 754 apps were identified, of which 22 met the eligibility criteria. All apps intended to inform/educate users, while 32% analyzed genetic data, and 18% helped to diagnose genetic conditions. Most (68%) were clearly about genetics, but only 14% were affiliated with a medical/health body or charity, and only 36% had a privacy strategy. Mean reading scores were 35 (of 100), with the average reading age being equivalent to US grade 12 (UK year 13). On average, apps had 3.3 of the 11 IMS functionality criteria. The mean MARS quality score was 3.2 ± 0.7. Half met the minimum acceptability score (3 of 5). None had been formally evaluated. It was evident that there are few high-quality genomic/genetic patient-facing apps available in the UK. This demonstrates a need for an accessible, culturally sensitive, evidence-based app to improve genetic literacy within patient populations and specific communities.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK.,Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Amy Vercell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK.,The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK
| | - Alan Davies
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Naz Khan
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,Public Health Department, Blackburn With Darwen Borough Council, Blackburn, BB2 1DH, UK
| | - Angela Davies
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
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23
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Gasteiger N, van der Veer SN, Wilson P, Dowding D. How, for Whom, and in Which Contexts or Conditions Augmented and Virtual Reality Training Works in Upskilling Health Care Workers: Realist Synthesis. JMIR Serious Games 2022; 10:e31644. [PMID: 35156931 PMCID: PMC8893595 DOI: 10.2196/31644] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/16/2021] [Accepted: 10/12/2021] [Indexed: 01/20/2023] Open
Abstract
Background Using traditional simulators (eg, cadavers, animals, or actors) to upskill health workers is becoming less common because of ethical issues, commitment to patient safety, and cost and resource restrictions. Virtual reality (VR) and augmented reality (AR) may help to overcome these barriers. However, their effectiveness is often contested and poorly understood and warrants further investigation. Objective The aim of this review is to develop, test, and refine an evidence-informed program theory on how, for whom, and to what extent training using AR or VR works for upskilling health care workers and to understand what facilitates or constrains their implementation and maintenance. Methods We conducted a realist synthesis using the following 3-step process: theory elicitation, theory testing, and theory refinement. We first searched 7 databases and 11 practitioner journals for literature on AR or VR used to train health care staff. In total, 80 papers were identified, and information regarding context-mechanism-outcome (CMO) was extracted. We conducted a narrative synthesis to form an initial program theory comprising of CMO configurations. To refine and test this theory, we identified empirical studies through a second search of the same databases used in the first search. We used the Mixed Methods Appraisal Tool to assess the quality of the studies and to determine our confidence in each CMO configuration. Results Of the 41 CMO configurations identified, we had moderate to high confidence in 9 (22%) based on 46 empirical studies reporting on VR, AR, or mixed simulation training programs. These stated that realistic (high-fidelity) simulations trigger perceptions of realism, easier visualization of patient anatomy, and an interactive experience, which result in increased learner satisfaction and more effective learning. Immersive VR or AR engages learners in deep immersion and improves learning and skill performance. When transferable skills and knowledge are taught using VR or AR, skills are enhanced and practiced in a safe environment, leading to knowledge and skill transfer to clinical practice. Finally, for novices, VR or AR enables repeated practice, resulting in technical proficiency, skill acquisition, and improved performance. The most common barriers to implementation were up-front costs, negative attitudes and experiences (ie, cybersickness), developmental and logistical considerations, and the complexity of creating a curriculum. Facilitating factors included decreasing costs through commercialization, increasing the cost-effectiveness of training, a cultural shift toward acceptance, access to training, and leadership and collaboration. Conclusions Technical and nontechnical skills training programs using AR or VR for health care staff may trigger perceptions of realism and deep immersion and enable easier visualization, interactivity, enhanced skills, and repeated practice in a safe environment. This may improve skills and increase learning, knowledge, and learner satisfaction. The future testing of these mechanisms using hypothesis-driven approaches is required. Research is also required to explore implementation considerations.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom.,Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.,Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.,Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
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24
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Abstract
INTRODUCTION Pelvic organ prolapse (POP) can be managed with a pessary; however, regular follow-up may deter women from pessary management due to the inconvenience of frequent appointments, as well as preventing pessary users from autonomous decision-making. Pessary self-management, whereby the woman removes and inserts her own pessary may be a solution to these issues. However, there remains a number of uncertainties regarding the potential benefits and risks of pessary self-management. This scoping review aims to map available evidence about the subject of pessary self-management for POP to identify knowledge gaps providing the basis for future research. METHODS AND ANALYSIS The scoping review will be conducted using the Joanna Briggs Institute scoping review methodology and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. A search of Medline, CINAHL, Embase and PsycInfo will be undertaken to identify relevant articles which meet the eligibility criteria using the search terms 'pessary' and 'self-management' or 'self-care'. A hand search of the reference list of non-original research identified during the search but excluded, will be conducted for additional publications which meet the inclusion and exclusion criteria. Data relevant to the topic of pessary self-management will be extracted and critical appraisal of all included publications undertaken. ETHICS AND DISSEMINATION No ethical or Health Research Authority approval is required to undertake the scoping review. However, it has been registered with The Open Science Framework (DOI 10.17605/OSF.IO/DNGCP). The findings will inform future research exploring pessary self-management and be disseminated via both a presentation at a national conference and publications in peer reviewed journals.
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Affiliation(s)
- Lucy Dwyer
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
- Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - R Kearney
- Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Institute of Human Development, Faculty of Medical & Human Sciences, University of Manchester, Manchester, UK
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25
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Randell R, McVey L, Zaman H, Wright J, Cheong VL, Dowding D, Gardner P, Hardiker N, Healey F, Lynch A, Alvarado N. Designing health IT to support falls prevention in hospitals: Findings from a realist review. AMIA Annu Symp Proc 2022; 2022:902-911. [PMID: 37128418 PMCID: PMC10148347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Inpatient falls are an international patient safety concern, accounting for 30-40% of reported safety incidents in acute hospitals. They can cause both physical (e.g. hip fractures) and non-physical harm (e.g. reduced confidence) to patients. We used an approach known as a realist review to identify theories about what interventions might work for whom in what contexts, focusing on what supports and constrains effective use of multifactorial falls risk assessment and falls prevention interventions. One of these theories suggested that staff will integrate recommended practices into their work routines if falls risk assessment tools, including health IT, are quick and easy to use and facilitate existing work routines. Synthesis of empirical studies undertaken in the process of testing and refining this theory has implications for the design of health IT, suggesting that while health IT can support falls prevention through automation, such tools should also allow for incorporation of clinical judgement.
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Affiliation(s)
- Rebecca Randell
- University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Lynn McVey
- University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | | | | | | | | | - Peter Gardner
- University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | | | | | - Alison Lynch
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Natasha Alvarado
- University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
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26
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Alvarado N, McVey L, Elshehaly M, Greenhalgh J, Dowding D, Ruddle R, Gale CP, Mamas M, Doherty P, West R, Feltbower R, Randell R. Analysis of a Web-Based Dashboard to Support the Use of National Audit Data in Quality Improvement: Realist Evaluation. J Med Internet Res 2021; 23:e28854. [PMID: 34817384 PMCID: PMC8663683 DOI: 10.2196/28854] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/15/2021] [Accepted: 10/05/2021] [Indexed: 11/30/2022] Open
Abstract
Background Dashboards can support data-driven quality improvements in health care. They visualize data in ways intended to ease cognitive load and support data comprehension, but how they are best integrated into working practices needs further investigation. Objective This paper reports the findings of a realist evaluation of a web-based quality dashboard (QualDash) developed to support the use of national audit data in quality improvement. Methods QualDash was co-designed with data users and installed in 8 clinical services (3 pediatric intensive care units and 5 cardiology services) across 5 health care organizations (sites A-E) in England between July and December 2019. Champions were identified to support adoption. Data to evaluate QualDash were collected between July 2019 and August 2021 and consisted of 148.5 hours of observations including hospital wards and clinical governance meetings, log files that captured the extent of use of QualDash over 12 months, and a questionnaire designed to assess the dashboard’s perceived usefulness and ease of use. Guided by the principles of realist evaluation, data were analyzed to understand how, why, and in what circumstances QualDash supported the use of national audit data in quality improvement. Results The observations revealed that variation across sites in the amount and type of resources available to support data use, alongside staff interactions with QualDash, shaped its use and impact. Sites resourced with skilled audit support staff and established reporting systems (sites A and C) continued to use existing processes to report data. A number of constraints influenced use of QualDash in these sites including that some dashboard metrics were not configured in line with user expectations and staff were not fully aware how QualDash could be used to facilitate their work. In less well-resourced services, QualDash automated parts of their reporting process, streamlining the work of audit support staff (site B), and, in some cases, highlighted issues with data completeness that the service worked to address (site E). Questionnaire responses received from 23 participants indicated that QualDash was perceived as useful and easy to use despite its variable use in practice. Conclusions Web-based dashboards have the potential to support data-driven improvement, providing access to visualizations that can help users address key questions about care quality. Findings from this study point to ways in which dashboard design might be improved to optimize use and impact in different contexts; this includes using data meaningful to stakeholders in the co-design process and actively engaging staff knowledgeable about current data use and routines in the scrutiny of the dashboard metrics and functions. In addition, consideration should be given to the processes of data collection and upload that underpin the quality of the data visualized and consequently its potential to stimulate quality improvement. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2019-033208
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Affiliation(s)
- Natasha Alvarado
- Faculty of Health Studies, University of Bradford, Bradford, United Kingdom.,Wolfson Centre for Applied Health Research, Bradford, United Kingdom
| | - Lynn McVey
- Faculty of Health Studies, University of Bradford, Bradford, United Kingdom.,Wolfson Centre for Applied Health Research, Bradford, United Kingdom
| | - Mai Elshehaly
- Wolfson Centre for Applied Health Research, Bradford, United Kingdom.,Faculty of Engineering and Informatics, University of Bradford, Bradford, United Kingdom
| | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, United Kingdom
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Roy Ruddle
- School of Computing, University of Leeds, Leeds, United Kingdom.,Leeds Institute for Data Analytics, Leeds, United Kingdom
| | - Chris P Gale
- Leeds Institute for Data Analytics, Leeds, United Kingdom.,Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.,Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Mamas Mamas
- Keele Cardiovascular Group, School of Medicine, Keele University, Keele, United Kingdom
| | - Patrick Doherty
- Department of Health Sciences, University of York, York, United Kingdom
| | - Robert West
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Richard Feltbower
- Leeds Institute for Data Analytics, Leeds, United Kingdom.,School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, United Kingdom.,Wolfson Centre for Applied Health Research, Bradford, United Kingdom
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27
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Randell R, Wright JM, Alvarado N, Healey F, Dowding D, Smith H, Hardiker N, Gardner P, Ward S, Todd C, Zaman H, McVey L, Davey CJ, Woodcock D. What supports and constrains the implementation of multifactorial falls risk assessment and tailored multifactorial falls prevention interventions in acute hospitals? Protocol for a realist review. BMJ Open 2021; 11:e049765. [PMID: 34475173 PMCID: PMC8413962 DOI: 10.1136/bmjopen-2021-049765] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Falls are the most common type of safety incident reported by acute hospitals and can cause both physical (eg, hip fractures) and non-physical harm (eg, reduced confidence) to patients. It is recommended that, in order to prevent falls in hospital, patients should receive a multifactorial falls risk assessment and be provided with a multifactorial intervention, tailored to address the patient's identified individual risk factors. It is estimated that such an approach could reduce the incidence of inpatient falls by 25%-30% and reduce the annual cost of falls by up to 25%. However, there is substantial unexplained variation between hospitals in the number and type of assessments undertaken and interventions implemented. METHODS AND ANALYSIS A realist review will be undertaken to construct and test programme theories regarding (1) what supports and constrains the implementation of multifactorial falls risk assessment and tailored multifactorial falls prevention interventions in acute hospitals; and (2) how, why, in what contexts and for whom tailored multifactorial falls prevention interventions lead to a reduction in patients' falls risk. We will first identify stakeholders' theories concerning these two topics, searching Medline (1946-present) and Medline In-Process & Other Non-Indexed Citations, Health Management Information Consortium (1983-present) and CINAHL (1981-present). We will then test these theories systematically, using primary studies to determine whether empirical evidence supports, refutes or suggests a revision or addition to the identified theories. ETHICS AND DISSEMINATION The study does not require ethical approval. The review will provide evidence for how to implement multifactorial falls risk assessment and prevention strategies in acute hospital settings. This will be disseminated to academic and clinical audiences and will provide the basis for a future multi-site study through which the theories will be further refined. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020184458.
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Affiliation(s)
- Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Judy M Wright
- Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Natasha Alvarado
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | | | - Dawn Dowding
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Heather Smith
- Medicines Management & Pharmacy Services, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Nick Hardiker
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
| | - Peter Gardner
- Wolfson Centre for Applied Health Research, Bradford, UK
- Faculty of Life Sciences, University of Bradford, Bradford, UK
| | - Sue Ward
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Chris Todd
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Hadar Zaman
- Faculty of Life Sciences, University of Bradford, Bradford, UK
| | - Lynn McVey
- Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | | | - David Woodcock
- Faculty of Health Studies, University of Bradford, Bradford, UK
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28
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Gasteiger N, Dowding D, Ali SM, Scott AJS, Wilson P, van der Veer SN. Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps. J Am Med Inform Assoc 2021; 28:2027-2038. [PMID: 34180527 PMCID: PMC8363789 DOI: 10.1093/jamia/ocab094] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 02/03/2021] [Revised: 04/29/2021] [Accepted: 05/05/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE The study sought to identify smartphone apps that support hand hygiene practice and to assess their content, technical and functional features, and quality. A secondary objective was to make design and research recommendations for future apps. MATERIALS AND METHODS We searched the UK Google Play and Apple App stores for hand hygiene smartphone apps aimed at adults. Information regarding content, technical and functional features was extracted and summarized. Two raters evaluated each app, using the IMS Institute for Healthcare Informatics functionality score and the Mobile App Rating Scale (MARS). RESULTS A total of 668 apps were identified, with 90 meeting the inclusion criteria. Most (96%) were free to download. The majority (78%) intended to educate or inform or remind users to hand wash (69%), using behavior change techniques such as personalization and prompting practice. Only 20% and 4% named a best practice guideline or had expert involvement in development, respectively. Innovative means of engagement were used in 42% (eg, virtual or augmented reality or geolocation-based reminders). Apps included an average of 2.4 out of 10 of the IMS functionality criteria (range, 0-8). The mean MARS score was 3.2 ± 0.5 out of 5, and 68% had a minimum acceptability score of 3. Two had been tested or trialed. CONCLUSIONS Although many hand hygiene apps exist, few provide content on best practice. Many did not meet the minimum acceptability criterion for quality or were formally trialed or tested. Research should assess the feasibility and effectiveness of hand hygiene apps (especially within healthcare settings), including when and how they "work." We recommend that future apps to support hand hygiene practice are developed with infection prevention and control experts and align with best practice. Robust research is needed to determine which innovative methods of engagement create "sticky" apps.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, University of Manchester, Manchester, United Kingdom
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
| | - Syed Mustafa Ali
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, University of Manchester, Manchester, United Kingdom
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom
- NIHR Manchester Musculoskeletal Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Ashley Jordan Stephen Scott
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
- Division of Nursing and Midwifery, School of Human and Health Sciences, University of Huddersfield, United Kingdom
| | - Paul Wilson
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Sabine N van der Veer
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, University of Manchester, Manchester, United Kingdom
- Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
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29
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McVey L, Alvarado N, Greenhalgh J, Elshehaly M, Gale CP, Lake J, Ruddle RA, Dowding D, Mamas M, Feltbower R, Randell R. Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT. BMC Health Serv Res 2021; 21:702. [PMID: 34271925 PMCID: PMC8284699 DOI: 10.1186/s12913-021-06657-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/01/2021] [Indexed: 11/23/2022] Open
Abstract
Background Secondary use of data via integrated health information technology is fundamental to many healthcare policies and processes worldwide. However, repurposing data can be problematic and little research has been undertaken into the everyday practicalities of inter-system data sharing that helps explain why this is so, especially within (as opposed to between) organisations. In response, this article reports one of the most detailed empirical examinations undertaken to date of the work involved in repurposing healthcare data for National Clinical Audits. Methods Fifty-four semi-structured, qualitative interviews were carried out with staff in five English National Health Service hospitals about their audit work, including 20 staff involved substantively with audit data collection. In addition, ethnographic observations took place on wards, in ‘back offices’ and meetings (102 h). Findings were analysed thematically and synthesised in narratives. Results Although data were available within hospital applications for secondary use in some audit fields, which could, in theory, have been auto-populated, in practice staff regularly negotiated multiple, unintegrated systems to generate audit records. This work was complex and skilful, and involved cross-checking and double data entry, often using paper forms, to assure data quality and inform quality improvements. Conclusions If technology is to facilitate the secondary use of healthcare data, the skilled but largely hidden labour of those who collect and recontextualise those data must be recognised. Their detailed understandings of what it takes to produce high quality data in specific contexts should inform the further development of integrated systems within organisations.
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Affiliation(s)
- Lynn McVey
- Faculty of Health Studies, University of Bradford, Bradford, UK. .,Wolfson Centre for Applied Health Research, Bradford, UK.
| | - Natasha Alvarado
- Faculty of Health Studies, University of Bradford, Bradford, UK.,Wolfson Centre for Applied Health Research, Bradford, UK
| | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, UK
| | - Mai Elshehaly
- Wolfson Centre for Applied Health Research, Bradford, UK.,Faculty of Engineering and Informatics, University of Bradford, Bradford, UK
| | - Chris P Gale
- School of Medicine, University of Leeds, Leeds, UK
| | - Julia Lake
- Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, UK
| | - Roy A Ruddle
- School of Computing, University of Leeds, Leeds, UK
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Mamas Mamas
- School of Primary, Community & Social Care, Keele University, Keele, UK
| | | | - Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, UK.,Wolfson Centre for Applied Health Research, Bradford, UK
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Gasteiger N, van der Veer SN, Wilson P, Dowding D. Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory. BMJ Open 2021; 11:e050033. [PMID: 34226234 PMCID: PMC8258595 DOI: 10.1136/bmjopen-2021-050033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 06/10/2021] [Indexed: 02/04/2023] Open
Abstract
INTRODUCTION Augmented reality (AR) and virtual reality (VR) are increasingly used to upskill health and care providers, including in surgical, nursing and acute care settings. Many studies have used AR/VR to deliver training, providing mixed evidence on their effectiveness and limited evidence regarding contextual factors that influence effectiveness and implementation. This review will develop, test and refine an evidence-informed programme theory on what facilitates or constrains the implementation of AR or VR programmes in health and care settings and understand how, for whom and to what extent they 'work'. METHODS AND ANALYSIS This realist review adheres to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) standards and will be conducted in three steps: theory elicitation, theory testing and theory refinement. First, a search will identify practitioner, academic and learning and technology adoption theories from databases (MEDLINE, Scopus, CINAHL, Embase, Education Resources Information Center, PsycINFO and Web of Science), practitioner journals, snowballing and grey literature. Information regarding contexts, mechanisms and outcomes will be extracted. A narrative synthesis will determine overlapping configurations and form an initial theory. Second, the theory will be tested using empirical evidence located from the above databases and identified from the first search. Quality will be assessed using the Mixed Methods Appraisal Tool (MMAT), and relevant information will be extracted into a coding sheet. Third, the extracted information will be compared with the initial programme theory, with differences helping to make refinements. Findings will be presented as a narrative summary, and the MMAT will determine our confidence in each configuration. ETHICS AND DISSEMINATION Ethics approval is not required. This review will develop an evidence-informed programme theory. The results will inform and support AR/VR interventions from clinical educators, healthcare providers and software developers. Upskilling through AR/VR learning interventions may improve quality of care and promote evidence-based practice and continued learning. Findings will be disseminated through conference presentations and peer-reviewed journal articles.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Sabine N van der Veer
- Division of Informatics, Imaging and Data Sciences, Centre for Health Informatics, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Paul Wilson
- Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Adams V, Song J, Shang J, McDonald M, Dowding D, Ojo M, Russell D. Infection prevention and control practices in the home environment: Examining enablers and barriers to adherence among home health care nurses. Am J Infect Control 2021; 49:721-726. [PMID: 33157183 DOI: 10.1016/j.ajic.2020.10.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 09/29/2020] [Accepted: 10/20/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Infection Prevention and Control (IPC) practices have been established in home health care. Adherence to IPC practices has been suboptimal with limited available evidence. The study aim was to examine the impact of individual, home environment, and organizational factors on IPC practices using human factors model. METHODS Three hundred and fifty-three nurses were surveyed across two large home care agencies to examine the relationship between IPC adherence and individual, home environment, and organizational factors. RESULTS Nurses reported multiple barriers to IPC practices in patients' homes (mean = 4.34, standard deviation = 2.53). Frequent barriers included clutter (reported by 74.5% of nurses) and a dirty environment (70.3%). Nurses also reported limited availability of some IPC supplies (mean = 7.76, standard deviation = 2.44), including personal protective equipment. Home environment factors were significant barriers, and availability of IPC supplies were significant enablers of IPC adherence. Agency-provided training and decision-making resources were not significant factors for IPC adherence in the presence of home environment barriers and IPC supplies. CONCLUSIONS This study findings suggest that IPC adherence strategies point to addressing barriers in the home environment and increasing availability of IPC supplies. The relationship between the patient's home environment, organizational factors, and IPC practices among home health care nurses warrants further study.
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Affiliation(s)
- Victoria Adams
- Infection Prevention and Control, Visiting Nurse Service of New York, New York, NY.
| | - Jiyoun Song
- Columbia University School of Nursing, New York, NY
| | | | - Margaret McDonald
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Marietta Ojo
- Columbia University School of Nursing, New York, NY
| | - David Russell
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY; Department of Sociology, Appalachian State University, Boone, NC
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Russell D, Dowding D, Trifilio M, McDonald MV, Song J, Adams V, Ojo MI, Perry EK, Shang J. Individual, social, and environmental factors for infection risk among home healthcare patients: A multi-method study. Health Soc Care Community 2021; 29:780-788. [PMID: 33606903 PMCID: PMC8084932 DOI: 10.1111/hsc.13321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 01/18/2021] [Accepted: 01/21/2021] [Indexed: 06/12/2023]
Abstract
There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention and control in HHC. Data were collected in 2017-2018 and included qualitative interviews with HHC nurses (n = 50) and structured observations of nurse visits to patients' homes (n = 400). Thematic analyses of interviews with nurses suggested they perceived infection risk among patients as being influenced by knowledge of and attitudes towards infection prevention and engagement in hygiene practices, receipt of support from informal caregivers and nurse interventions aimed at cultivating infection control knowledge and practices, and the home environment. Statistical analyses of observation checklists revealed nurses encountered an average of 1.7 environmental barriers upon each home visit. Frequent environmental barriers observed during visits to HHC patients included clutter (39.5%), poor lighting (38.8%), dirtiness (28.5%), and pets (17.2%). Additional research is needed to clarify inter-relationships among these factors and identify strategies for addressing each as part of a comprehensive infection control program in HHC.
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Affiliation(s)
- David Russell
- Department of Sociology, Appalachian State University, Boone, NC, USA
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, USA
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Marygrace Trifilio
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, USA
| | - Margaret V. McDonald
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, USA
| | - Jiyoun Song
- Columbia University School of Nursing, New York, NY, USA
| | | | - Marietta I. Ojo
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, USA
| | - Eun K. Perry
- Department of Sociology, Appalachian State University, Boone, NC, USA
| | - Jingjing Shang
- Columbia University School of Nursing, New York, NY, USA
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Mogharbel A, Dowding D, Ainsworth J. Physicians' Use of the Computerized Physician Order Entry System for Medication Prescribing: Systematic Review. JMIR Med Inform 2021; 9:e22923. [PMID: 33661126 PMCID: PMC7974763 DOI: 10.2196/22923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/17/2020] [Accepted: 12/07/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Computerized physician order entry (CPOE) systems in health care settings have many benefits for prescribing medication, such as improved quality of patient care and patient safety. However, to achieve their full potential, the factors influencing the usage of CPOE systems by physicians must be identified and understood. OBJECTIVE The aim of this study is to identify the factors influencing the usage of CPOE systems by physicians for medication prescribing in their clinical practice. METHODS We conducted a systematic search of the literature on this topic using four databases: PubMed, CINAHL, Ovid MEDLINE, and Embase. Searches were performed from September 2019 to December 2019. The retrieved papers were screened by examining the titles and abstracts of relevant studies; two reviewers screened the full text of potentially relevant papers for inclusion in the review. Qualitative, quantitative, and mixed methods studies with the aim of conducting assessments or investigations of factors influencing the use of CPOE for medication prescribing among physicians were included. The identified factors were grouped based on constructs from two models: the unified theory of acceptance and use of technology model and the Delone and McLean Information System Success Model. We used the Mixed Method Appraisal Tool to assess the quality of the included studies and narrative synthesis to report the results. RESULTS A total of 11 articles were included in the review, and 37 factors related to the usage of CPOE systems were identified as the factors influencing how physicians used CPOE for medication prescribing. These factors represented three main themes: individual, technological, and organizational. CONCLUSIONS This study identified the common factors that influenced the usage of CPOE systems by physicians for medication prescribing regardless of the type of setting or the duration of the use of a system by participants. Our findings can be used to inform implementation and support the usage of the CPOE system by physicians.
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Affiliation(s)
- Asra Mogharbel
- Division of Informatics Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Centre for Health Informatics, The University of Manchester, Manchester, United Kingdom
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - John Ainsworth
- Division of Informatics Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, Centre for Health Informatics, The University of Manchester, Manchester, United Kingdom
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Dowding D, Russell D, McDonald MV, Trifilio M, Song J, Brickner C, Shang J. "A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings. J Am Med Inform Assoc 2021; 28:334-341. [PMID: 33260204 PMCID: PMC7883974 DOI: 10.1093/jamia/ocaa267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 07/14/2020] [Revised: 10/05/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The study sought to outline how a clinical risk prediction model for identifying patients at risk of infection is perceived by home care nurses, and to inform how the output of the model could be integrated into a clinical workflow. MATERIALS AND METHODS This was a qualitative study using semi-structured interviews with 50 home care nurses. Interviews explored nurses' perceptions of clinical risk prediction models, their experiences using them in practice, and what elements are important for the implementation of a clinical risk prediction model focusing on infection. Interviews were audio-taped and transcribed, with data evaluated using thematic analysis. RESULTS Two themes were derived from the data: (1) informing nursing practice, which outlined how a clinical risk prediction model could inform nurse clinical judgment and be used to modify their care plan interventions, and (2) operationalizing the score, which summarized how the clinical risk prediction model could be incorporated in home care settings. DISCUSSION The findings indicate that home care nurses would find a clinical risk prediction model for infection useful, as long as it provided both context around the reasons why a patient was deemed to be at high risk and provided some guidance for action. CONCLUSIONS It is important to evaluate the potential feasibility and acceptability of a clinical risk prediction model, to inform the intervention design and implementation strategy. The results of this study can provide guidance for the development of the clinical risk prediction tool as an intervention for integration in home care settings.
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Affiliation(s)
- Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - David Russell
- Department of Sociology, Appalachian State University, Boone, North Carolina, USA
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, New York, USA
| | - Margaret V McDonald
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, New York, USA
| | - Marygrace Trifilio
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, New York, USA
| | - Jiyoun Song
- Columbia University School of Nursing, New York, New York, USA
| | - Carlin Brickner
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, New York, USA
- Business Intelligence and Analytics, Visiting Nurse Service of New York, New York, New York, USA
| | - Jingjing Shang
- Columbia University School of Nursing, New York, New York, USA
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McVey L, Alvarado N, Keen J, Greenhalgh J, Mamas M, Gale C, Doherty P, Feltbower R, Elshehaly M, Dowding D, Randell R. Institutional use of National Clinical Audits by healthcare providers. J Eval Clin Pract 2021; 27:143-150. [PMID: 32307857 DOI: 10.1111/jep.13403] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 01/26/2023]
Abstract
RATIONALE, AIMS, AND OBJECTIVES Healthcare systems worldwide devote significant resources towards collecting data to support care quality assurance and improvement. In the United Kingdom, National Clinical Audits are intended to contribute to these objectives by providing public reports of data on healthcare treatment and outcomes, but their potential for quality improvement in particular is not realized fully among healthcare providers. Here, we aim to explore this outcome from the perspective of hospital boards and their quality committees: an under-studied area, given the emphasis in previous research on the audits' use by clinical teams. METHODS We carried out semi-structured, qualitative interviews with 54 staff in different clinical and management settings in five English National Health Service hospitals about their use of NCA data, and the circumstances that supported or constrained such use. We used Framework Analysis to identify themes within their responses. RESULTS We found that members and officers of hospitals' governing bodies perceived an imbalance between the benefits to their institutions from National Clinical Audits and the substantial resources consumed by participating in them. This led some to question the audits' legitimacy, which could limit scope for improvements based on audit data, proposed by clinical teams. CONCLUSIONS Measures to enhance the audits' perceived legitimacy could help address these limitations. These include audit suppliers moving from an emphasis on cumulative, retrospective reports to real-time reporting, clearly presenting the "headline" outcomes important to institutional bodies and staff. Measures may also include further negotiation between hospitals, suppliers and their commissioners about the nature and volume of data the latter are expected to collect; wider use by hospitals of routine clinical data to populate audit data fields; and further development of interactive digital technologies to help staff explore and report audit data in meaningful ways.
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Affiliation(s)
- Lynn McVey
- School of Healthcare, University of Leeds, Leeds, UK
| | | | - Justin Keen
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, UK
| | - Mamas Mamas
- School of Primary, Community and Social Care, Keele University, Keele, UK
| | - Chris Gale
- School of Medicine, University of Leeds, Leeds, UK
| | | | | | - Mai Elshehaly
- Faculty of Engineering and Informatics, University of Bradford, Bradford, UK
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, UK
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Shang J, Russell D, Dowding D, McDonald MV, Murtaugh C, Liu J, Larson EL, Sridharan S, Brickner C. A Predictive Risk Model for Infection-Related Hospitalization Among Home Healthcare Patients. J Healthc Qual 2021; 42:136-147. [PMID: 32371832 DOI: 10.1097/jhq.0000000000000214] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Infection prevention is a high priority for home healthcare (HHC), but tools are lacking to identify patients at highest risk of developing infections. The purpose of this study was to develop and test a predictive risk model to identify HHC patients at risk of an infection-related hospitalization or emergency department visit. A nonexperimental study using secondary data was conducted. The Outcome and Assessment Information Set linked with relevant clinical data from 112,788 HHC admissions in 2014 was used for model development (70% of data) and testing (30%). A total of 1,908 patients (1.69%) were hospitalized or received emergency care associated with infection. Stepwise logistic regression models discriminated between individuals with and without infections. Our final model, when classified by highest risk of infection, identified a high portion of those who were hospitalized or received emergent care for an infection while also correctly categorizing 90.5% of patients without infection. The risk model can be used by clinicians to inform care planning. This is the first study to develop a tool for predicting infection risk that can be used to inform how to direct additional infection control intervention resources on high-risk patients, potentially reducing infection-related hospitalizations, emergency department visits, and costs.
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Abstract
Healthcare-associated infections are a significant reason for readmission to hospital post-discharge to the community. In this paper, the authors describe some of the key findings from a programme of work conducted in a home care agency (community care organisation) in the US. A survey was conducted to explore home care nurses' knowledge, attitudes and beliefs around infection control (n=415); 400 nurse-patient visits were observed, and 50 nurses were interviewed about their infection control practices. Nurses reported high compliance with infection control practices. However, the overall average adherence rate to observed hand hygiene practices was 45.6%. Interview data provided valuable insights into specific challenges faced by nurses in a home care setting. This study provides insights that can be used to enhance infection control practice in community care in the UK.
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Affiliation(s)
- Dawn Dowding
- Dawn Dowding, Professor in Clinical Decision Making, Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester
| | - Margaret V McDonald
- Associate Director, Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, US
| | - Jingjing Shang
- Professor of Nursing, Columbia University School of Nursing, New York, US
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Alvarado N, McVey L, Greenhalgh J, Dowding D, Mamas M, Gale C, Doherty P, Randell R. Exploring variation in the use of feedback from national clinical audits: a realist investigation. BMC Health Serv Res 2020; 20:859. [PMID: 32917202 PMCID: PMC7488667 DOI: 10.1186/s12913-020-05661-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 08/17/2020] [Indexed: 11/27/2022] Open
Abstract
Background National Clinical Audits (NCAs) are a well-established quality improvement strategy used in healthcare settings. Significant resources, including clinicians’ time, are invested in participating in NCAs, yet there is variation in the extent to which the resulting feedback stimulates quality improvement. The aim of this study was to explore the reasons behind this variation. Methods We used realist evaluation to interrogate how context shapes the mechanisms through which NCAs work (or not) to stimulate quality improvement. Fifty-four interviews were conducted with doctors, nurses, audit clerks and other staff working with NCAs across five healthcare providers in England. In line with realist principles we scrutinised the data to identify how and why providers responded to NCA feedback (mechanisms), the circumstances that supported or constrained provider responses (context), and what happened as a result of the interactions between mechanisms and context (outcomes). We summarised our findings as Context+Mechanism = Outcome configurations. Results We identified five mechanisms that explained provider interactions with NCA feedback: reputation, professionalism, competition, incentives, and professional development. Professionalism and incentives underpinned most frequent interaction with feedback, providing opportunities to stimulate quality improvement. Feedback was used routinely in these ways where it was generated from data stored in local databases before upload to NCA suppliers. Local databases enabled staff to access data easily, customise feedback and, importantly, the data were trusted as accurate, due to the skills and experience of staff supporting audit participation. Feedback produced by NCA suppliers, which included national comparator data, was used in a more limited capacity across providers. Challenges accessing supplier data in a timely way and concerns about the quality of data submitted across providers were reported to constrain use of this mode of feedback. Conclusion The findings suggest that there are a number of mechanisms that underpin healthcare providers’ interactions with NCA feedback. However, there is variation in the mode, frequency and impact of these interactions. Feedback was used most routinely, providing opportunities to stimulate quality improvement, within clinical services resourced to collect accurate data and to maintain local databases from which feedback could be customised for the needs of the service.
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Affiliation(s)
- Natasha Alvarado
- School of Healthcare and the Wolfson Centre for Applied Health Research, University of Leeds, Leeds, England.
| | - Lynn McVey
- School of Healthcare and the Wolfson Centre for Applied Health Research, University of Leeds, Leeds, England
| | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, England
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, England
| | - Mamas Mamas
- Primary Care and Health Sciences, Keele University, Keele, England
| | | | - Patrick Doherty
- Department of Health Sciences, York University, York, England
| | - Rebecca Randell
- Faculty of Health Studies and the Wolfson Centre for Applied Health Research University of Bradford, Bradford, England
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Dowding D, Russell D, Trifilio M, McDonald MV, Shang J. Home care nurses' identification of patients at risk of infection and their risk mitigation strategies: A qualitative interview study. Int J Nurs Stud 2020; 107:103617. [PMID: 32446014 PMCID: PMC7418527 DOI: 10.1016/j.ijnurstu.2020.103617] [Citation(s) in RCA: 8] [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] [Received: 12/09/2019] [Revised: 03/19/2020] [Accepted: 04/18/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND There is an increase in the number of individuals who receive care at home. A significant proportion of these patients acquire infections during their care episode. Whilst there has been significant focus on strategies for infection prevention and control in acute care environments, there is a lack of research into infection prevention in a home care setting. OBJECTIVES To understand (1) if and how home care nurses identify patients at high risk of infection and (2) the strategies they use to mitigate that risk. DESIGN A qualitative descriptive study, using semi-structured interviews. SETTING A large not for profit home care agency located in the New York region of the United States. PARTICIPANTS Fifty nurses with a range of experience in home care nursing. METHODS Purposive and snowball sampling was used to recruit nurses from across the home care agency with varied years of work experience. Interviews were audio recorded and transcribed. The interviews explored how home care nurses evaluate their patients' risk of developing an infection and if/how they modify the plan of care based on that risk. Data were analysed using thematic analysis. RESULTS Three themes were derived from the data; assessing a patient's risk of infection, the risk assessment process, and strategies for mitigating infection risk. Factors identified by nurses as putting a patient at higher risk of infection included being older, having diabetes, inadequate nutrition; along with inadequate clinical information available at start of care. The patient's knowledge and understanding of infection prevention, and the availability and knowledge of caregivers were also important, as was the cleanliness of the home environment. Given the context of home care, where nurses have little control over the environment and care processes in-between visits, the main strategy for infection prevention was patient and caregiver education. Nurses also discussed the importance of their own infection prevention behaviours, and the ability to adjust a patient's plan of care according to their infection risk. CONCLUSIONS The study highlights the complexity of the risk assessment process in relation to infection. Existing guidelines for infection prevention and control do not adequately cover the home care environment and more research needs to determine which interventions (such as patient/caregiver education) would be most effective to prevent infections in the home care setting.
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Affiliation(s)
- Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Room 4.327a, Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK; Center for Home Care Policy and Research, Visiting Nurse Service of New York, 5 Penn Plaza, 12th Floor, New York, NY 10001, USA; Columbia University School of Nursing, 560 West 168th Street, New York, NY 10032, USA.
| | - David Russell
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, 5 Penn Plaza, 12th Floor, New York, NY 10001, USA; Department of Sociology, Appalachian State University, ASU Box 32115, 209 Chapell Wilson Hall, 480 Howard Street, Boone, NC 28608, USA.
| | - Marygrace Trifilio
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, 5 Penn Plaza, 12th Floor, New York, NY 10001, USA.
| | - Margaret V McDonald
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, 5 Penn Plaza, 12th Floor, New York, NY 10001, USA.
| | - Jingjing Shang
- Columbia University School of Nursing, 560 West 168th Street, New York, NY 10032, USA.
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Randell R, Alvarado N, McVey L, Ruddle RA, Doherty P, Gale C, Mamas M, Dowding D. Requirements for a quality dashboard: Lessons from National Clinical Audits. AMIA Annu Symp Proc 2020; 2019:735-744. [PMID: 32308869 PMCID: PMC7153077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Healthcare organizations worldwide use quality dashboards to provide feedback to clinical teams and managers, in order to monitor care quality and stimulate quality improvement. However, there is limited evidence regarding the impact of quality dashboards and audit and feedback research focuses on feedback to individual clinicians, rather than to clinical and managerial teams. Consequently, we know little about what features a quality dashboard needs in order to provide benefit. We conducted 54 interviews across five healthcare organizations in the National Health Service in England, interviewing personnel at different levels of the organization, to understand how national (UK) clinical audit data are used for quality improvement and factors that support or constrain use of these data. The findings, organized around the themes of choosing performance indicators, assessing performance, identifying causes, communicating from ward to board, and data quality, have implications for the design of quality dashboards, which we have translated into a series of requirements.
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Randell R, Alvarado N, McVey L, Greenhalgh J, West RM, Farrin A, Gale C, Parslow R, Keen J, Elshehaly M, Ruddle RA, Lake J, Mamas M, Feltbower R, Dowding D. How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation. BMJ Open 2020; 10:e033208. [PMID: 32102812 PMCID: PMC7044920 DOI: 10.1136/bmjopen-2019-033208] [Citation(s) in RCA: 8] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION National audits are used to monitor care quality and safety and are anticipated to reduce unexplained variations in quality by stimulating quality improvement (QI). However, variation within and between providers in the extent of engagement with national audits means that the potential for national audit data to inform QI is not being realised. This study will undertake a feasibility evaluation of QualDash, a quality dashboard designed to support clinical teams and managers to explore data from two national audits, the Myocardial Ischaemia National Audit Project (MINAP) and the Paediatric Intensive Care Audit Network (PICANet). METHODS AND ANALYSIS Realist evaluation, which involves building, testing and refining theories of how an intervention works, provides an overall framework for this feasibility study. Realist hypotheses that describe how, in what contexts, and why QualDash is expected to provide benefit will be tested across five hospitals. A controlled interrupted time series analysis, using key MINAP and PICANet measures, will provide preliminary evidence of the impact of QualDash, while ethnographic observations and interviews over 12 months will provide initial insight into contexts and mechanisms that lead to those impacts. Feasibility outcomes include the extent to which MINAP and PICANet data are used, data completeness in the audits, and the extent to which participants perceive QualDash to be useful and express the intention to continue using it after the study period. ETHICS AND DISSEMINATION The study has been approved by the University of Leeds School of Healthcare Research Ethics Committee. Study results will provide an initial understanding of how, in what contexts, and why quality dashboards lead to improvements in care quality. These will be disseminated to academic audiences, study participants, hospital IT departments and national audits. If the results show a trial is feasible, we will disseminate the QualDash software through a stepped wedge cluster randomised trial.
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Affiliation(s)
- Rebecca Randell
- Faculty of Health Studies, University of Bradford, Bradford, West Yorkshire, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Natasha Alvarado
- Wolfson Centre for Applied Health Research, Bradford, UK
- School of Healthcare, University of Leeds, Leeds, West Yorkshire, UK
| | - Lynn McVey
- Wolfson Centre for Applied Health Research, Bradford, UK
- School of Healthcare, University of Leeds, Leeds, West Yorkshire, UK
| | | | - Robert M West
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Amanda Farrin
- Clinical Trials Research Unit, University of Leeds, Leeds, UK
| | - Chris Gale
- School of Medicine, University of Leeds, Leeds, UK
| | | | - Justin Keen
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Mai Elshehaly
- Faculty of Engineering & Informatics, University of Bradford, Bradford, UK
| | - Roy A Ruddle
- School of Computing, University of Leeds, Leeds, West Yorkshire, UK
| | - Julia Lake
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Mamas Mamas
- Royal Stoke University Hospital, Stoke-on-Trent, Staffordshire, UK
| | | | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, Greater Manchester, UK
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Randell R, Greenhalgh J, Hindmarsh J, Honey S, Pearman A, Alvarado N, Dowding D. How do team experience and relationships shape new divisions of labour in robot-assisted surgery? A realist investigation. Health (London) 2019; 25:250-268. [PMID: 31522572 DOI: 10.1177/1363459319874115] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Safe and successful surgery depends on effective teamwork between professional groups, each playing their part in a complex division of labour. This article reports the first empirical examination of how introduction of robot-assisted surgery changes the division of labour within surgical teams and impacts teamwork and patient safety. Data collection and analysis was informed by realist principles. Interviews were conducted with surgical teams across nine UK hospitals and, in a multi-site case study across four hospitals, data were collected using a range of methods, including ethnographic observation, video recording and semi-structured interviews. Our findings reveal that as the robot enables the surgeon to do more, the surgical assistant's role becomes less clearly defined. Robot-assisted surgery also introduces new tasks for the surgical assistant and scrub practitioner, in terms of communicating information to the surgeon. However, the use of robot-assisted surgery does not redistribute work in a uniform way; contextual factors of individual experience and team relationships shape changes to the division of labour. For instance, in some situations, scrub practitioners take on the role of supporting inexperienced surgical assistants. These changes in the division of labour do not persist when team members return to operations that are not robot-assisted. This study contributes to wider literature on divisions of labour in healthcare and how this is impacted by the introduction of new technologies. In particular, we emphasise the need to pay attention to often neglected micro-level contextual factors. This can highlight behaviours that can be promoted to benefit patient care.
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Randell R, Honey S, Alvarado N, Greenhalgh J, Hindmarsh J, Pearman A, Jayne D, Gardner P, Gill A, Kotze A, Dowding D. Factors supporting and constraining the implementation of robot-assisted surgery: a realist interview study. BMJ Open 2019; 9:e028635. [PMID: 31203248 PMCID: PMC6589012 DOI: 10.1136/bmjopen-2018-028635] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To capture stakeholders' theories concerning how and in what contexts robot-assisted surgery becomes integrated into routine practice. DESIGN A literature review provided tentative theories that were revised through a realist interview study. Literature-based theories were presented to the interviewees, who were asked to describe to what extent and in what ways those theories reflected their experience. Analysis focused on identifying mechanisms through which robot-assisted surgery becomes integrated into practice and contexts in which those mechanisms are triggered. SETTING Nine hospitals in England where robot-assisted surgery is used for colorectal operations. PARTICIPANTS Forty-four theatre staff with experience of robot-assisted colorectal surgery, including surgeons, surgical trainees, theatre nurses, operating department practitioners and anaesthetists. RESULTS Interviewees emphasised the importance of support from hospital management, team leaders and surgical colleagues. Training together as a team was seen as beneficial, increasing trust in each other's knowledge and supporting team bonding, in turn leading to improved teamwork. When first introducing robot-assisted surgery, it is beneficial to have a handpicked dedicated robotic team who are able to quickly gain experience and confidence. A suitably sized operating theatre can reduce operation duration and the risk of de-sterilisation. Motivation among team members to persist with robot-assisted surgery can be achieved without involvement in the initial decision to purchase a robot, but training that enables team members to feel confident as they take on the new tasks is essential. CONCLUSIONS We captured accounts of how robot-assisted surgery has been introduced into a range of hospitals. Using a realist approach, we were also able to capture perceptions of the factors that support and constrain the integration of robot-assisted surgery into routine practice. We have translated these into recommendations that can inform future implementations of robot-assisted surgery.
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Affiliation(s)
| | - Stephanie Honey
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | | | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, UK
| | - Jon Hindmarsh
- School of Management and Business, Kings College London, London, UK
| | - Alan Pearman
- Centre for Decision Research, University of Leeds, Leeds, UK
| | - David Jayne
- School of Medicine, University of Leeds, Leeds, UK
| | - Peter Gardner
- School of Psychology, University of Leeds, Leeds, UK
| | - Arron Gill
- Geoffrey Giles Theatres, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Alwyn Kotze
- Department of Anaesthesia, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Dawn Dowding
- School of Health Sciences, University of Manchester, Manchester, UK
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Abstract
Nearly one million Medicare home health care beneficiaries are hospitalized annually of which one-quarter are considered preventable. Older hospitalized patients are at risk for nosocomial complications and poorer outcomes and incur higher health care costs. This paper reports the results of a systematic review of 28 studies on hospitalization risk factors of older home health care patients. It found that males, Blacks, and non-Asian minorities are at greater hospitalization risk. Factors associated with higher risk included skin ulcers, psychiatric conditions, dyspnea/COPD, cardiovascular conditions, diabetes, functional deficits, more comorbidities, and higher medication usage. These findings can inform practice, research, and policy.
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Affiliation(s)
- Irene Bick
- a Department of Scholarship and Research , Columbia University School of Nursing , New York , NY , USA
| | - Dawn Dowding
- b Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health , The University of Manchester , Manchester , UK
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Hardiker NR, Dowding D, Dykes PC, Sermeus W. Reinterpreting the nursing record for an electronic context. Int J Med Inform 2019; 127:120-126. [PMID: 31128823 DOI: 10.1016/j.ijmedinf.2019.04.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 03/15/2019] [Accepted: 04/23/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND This article seeks to facilitate the re-imagining of nursing records purposefully within an electronic context. It questions existing approaches to nursing documentation, critically examines existing nursing record systems and identifies new requirements. METHODS A comprehensive literature review was conducted to identify themes, that might meaningfully contribute to a new approach to nursing record systems development, around four key interrelated areas - standards, decision making, abstraction and summarization, and documenting. Studies were analyzed using narrative synthesis to provide a critical analysis of the current 'state of the art', and recommendations for the future. RESULTS Included studies collectively described aspects of current best practice, both in terms of nursing record systems themselves, and how nurses and other health professionals contribute to and engage with those systems. A number of cross-cutting themes identified more novel approaches taken by nurses to systems development: going back to basics in determining purpose; firming up informatics foundations; nuancing or tailoring to suit different requirements; and engagement, involvement and participation. CONCLUSION There is a paucity of research that specifically focuses on the nature of the electronic nursing record and its impact on patient care processes and outcomes. In addition to further research in these areas, there is a need: to reinterpret nurses as knowledge workers rather than as 'data collectors'; to agree on the application in practice of appropriate standards and terminologies; and to work together with system developers to change the ways in which data are captured and care is documented.
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Affiliation(s)
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, UK.
| | - Patricia C Dykes
- Department of General Internal Medicine and Primary Care, Brigham and Women's Hospital/Harvard Medical School, USA.
| | - Walter Sermeus
- Leuven Institute for Healthcare Policy, KU Leuven, Belgium.
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Dowding D, Merrill JA, Onorato N, Barrón Y, Rosati RJ, Russell D. The impact of home care nurses' numeracy and graph literacy on comprehension of visual display information: implications for dashboard design. J Am Med Inform Assoc 2019; 25:175-182. [PMID: 28460091 DOI: 10.1093/jamia/ocx042] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 03/31/2017] [Indexed: 12/17/2022] Open
Abstract
Objective To explore home care nurses' numeracy and graph literacy and their relationship to comprehension of visualized data. Materials and Methods A multifactorial experimental design using online survey software. Nurses were recruited from 2 Medicare-certified home health agencies. Numeracy and graph literacy were measured using validated scales. Nurses were randomized to 1 of 4 experimental conditions. Each condition displayed data for 1 of 4 quality indicators, in 1 of 4 different visualized formats (bar graph, line graph, spider graph, table). A mixed linear model measured the impact of numeracy, graph literacy, and display format on data understanding. Results In all, 195 nurses took part in the study. They were slightly more numerate and graph literate than the general population. Overall, nurses understood information presented in bar graphs most easily (88% correct), followed by tables (81% correct), line graphs (77% correct), and spider graphs (41% correct). Individuals with low numeracy and low graph literacy had poorer comprehension of information displayed across all formats. High graph literacy appeared to enhance comprehension of data regardless of numeracy capabilities. Discussion and Conclusion Clinical dashboards are increasingly used to provide information to clinicians in visualized format, under the assumption that visual display reduces cognitive workload. Results of this study suggest that nurses' comprehension of visualized information is influenced by their numeracy, graph literacy, and the display format of the data. Individual differences in numeracy and graph literacy skills need to be taken into account when designing dashboard technology.
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Affiliation(s)
- Dawn Dowding
- Columbia University School of Nursing, New York, NY, USA.,Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, NY, USA
| | | | - Nicole Onorato
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, NY, USA
| | - Yolanda Barrón
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, NY, USA
| | | | - David Russell
- Center for Home Care Policy and Research, Visiting Nurse Service of New York, New York, NY, USA
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Abstract
The introduction of electronic health records has produced many challenges for clinicians. These include integrating technology into clinical workflow and fragmentation of relevant information across systems. Dashboards, which use visualized data to summarize key patient information, have the potential to address these issues. In this article, we outline a usability evaluation of a dashboard designed for home care nurses. An iterative design process was used, which consisted of (1) contextual inquiry (observation and interviews) with two home care nurses; (2) rapid feedback on paper prototypes of the dashboard (10 nurses); and (3) usability evaluation of the final dashboard prototype (20 nurses). Usability methods and assessments included observation of nurses interacting with the dashboard, the system usability scale, and the Questionnaire for User Interaction Satisfaction short form. The dashboard prototype was deemed to have high usability (mean system usability scale, 73.2 [SD, 18.8]) and was positively evaluated by nurse users. It is important to ensure that technology solutions such as the one proposed in this article are designed with clinical users in mind, to meet their information needs. The design elements of the dashboard outlined in this article could be translated to other electronic health records used in home care settings.
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Affiliation(s)
- Dawn Dowding
- Author Affiliations: School of Health Sciences, University of Manchester, England (Dr Dowding); School of Nursing and Department of Biomedical Informatics, Columbia University, New York (Dr Merrill); Center for Home Care Policy and Research, Visiting Nurse Service of New York (Mss Barrón and Onorato); Rory Meyers College of Nursing, New York University (Ms Jonas); and Department of Sociology, Appalachian State University, Boone, North Carolina (Dr Russell)
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Woo K, Tark A, Baik D, Dowding D. Informal Caregiver Decision-Making Factors Associated With Technology Adoption and Use in Home Healthcare: A Systematic Scoping Review. Home Healthc Now 2019; 37:328-336. [PMID: 31688467 DOI: 10.1097/nhh.0000000000000811] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Technology systems to alleviate the burden of caregiving are increasing in use. The home is a unique place where chronic disease management is often performed by informal caregivers, yet how caregivers make decisions about adopting a specific technology has not been thoroughly explored. This systematic scoping review mapped evidence on decision-making factors associated with technology adoption and use by caregivers of patients receiving care at home. We followed the recommendations developed by members of the Joanna Briggs Institute. Four electronic databases (PubMed, Medline, CINAHL, and Embase) were searched using both medical subject headings (MeSH terms) and key words. A total of six papers were included for data synthesis. Factors such as information, comprehension, motivation, time, perceived burden, and perceived caregiving competency were found to affect adoption of technology. There are other factors uniquely springing from the patient and technology, as well as shared issues between caregivers and patient, and caregivers and technology. Although some factors depend on technology type and patient diagnosis, there were some common factors across the research. Those factors can be carefully considered in referring technology use for caregivers. More focused study in this underinvestigated area is much needed.
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Affiliation(s)
- Kyungmi Woo
- Kyungmi Woo, PhD, RN, is a Postdoctoral Research Fellow, School of Nursing, Columbia University, New York, New York. Aluem Tark, MPhil, FNP, is a Postdoctoral Research Fellow, School of Nursing, University of Iowa, Iowa City, Iowa. Dawon Baik, PhD, RN, is an Assistant Professor, College of Nursing, University of Colorado, Aurora, Colorado. Dawn Dowding, PhD, RN, FAAN, is a Professor in Clinical Decision Making, Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
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Dowding D, Merrill J, Russell D. Using Feedback Intervention Theory to Guide Clinical Dashboard Design. AMIA Annu Symp Proc 2018; 2018:395-403. [PMID: 30815079 PMCID: PMC6371234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The provision of feedback to clinicians and organizations on the quality of care they provide is thought to influence clinician and organizational behavior leading to care improvements. Clinical Dashboards use data visualization techniques to provide feedback to individuals on their performance compared to quality metrics. In this paper we outline a theoretical approach to the design of a clinical dashboard; Feedback Intervention Theory (FIT). Priorities for feedback were identified using focus groups with home care nurses (n=61). Individual variation in graph literacy and numeracy among nurses and their ability to comprehend visualized data displays were evaluated using an online survey. The results from the focus group and survey were used to inform a prototype dashboard which was evaluated for usability with a separate sample of home care nurses. FIT provided a theoretical base for the dashboard design to ensure feedback that should positively impact clinician behavior.
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Cho H, Yen PY, Dowding D, Merrill JA, Schnall R. A multi-level usability evaluation of mobile health applications: A case study. J Biomed Inform 2018; 86:79-89. [PMID: 30145317 DOI: 10.1016/j.jbi.2018.08.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 07/02/2018] [Accepted: 08/22/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To report a methodological approach for the development of a usable mHealth application (app). MATERIALS AND METHODS This work was guided by a 3-level stratified view of health information technology (IT) usability evaluation framework. We first describe a number of methodologies for operationalizing each level of the framework. Following the description of each methodology, we present a case study which illustrates the use of our preferred methodologies for the development of a mHealth app. At level 1 (user-task), we applied a card sorting technique to guide the information architecture of a mobile HIV symptom self-management app, entitled mVIP. At level 2 (user-task-system), we conducted a usability evaluation of mVIP in a laboratory setting through end-user usability testing and heuristic evaluation with informatics experts. At level 3 (user-task-system-environment), usability of mVIP was evaluated in a real-world setting following the use of the app during a 3-month trial. RESULTS The 3-level usability evaluation guided our work exploring in-depth interactions between the user, task, system, and environment. Integral to the findings from the 3-level usability evaluation, we iteratively refined the app's content, functionality, and interface to meet the needs of our intended end-users. DISCUSSION AND CONCLUSION The stratified view of the health IT usability evaluation framework is a useful methodological approach for the design, development, and evaluation of mHealth apps. The methodological recommendations for using the theoretical framework can inform future usability studies of mHealth apps.
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Affiliation(s)
- Hwayoung Cho
- School of Nursing, Columbia University, New York, NY 10032, United States.
| | - Po-Yin Yen
- Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO 63108, United States; Goldfarb School of Nursing, BJC HealthCare, St. Louis, MO 63108, United States
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom
| | - Jacqueline A Merrill
- School of Nursing, Columbia University, New York, NY 10032, United States; Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States
| | - Rebecca Schnall
- School of Nursing, Columbia University, New York, NY 10032, United States
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