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Varese F, Allsopp K, Carter LA, Shields G, Hind D, Davies L, Barrett A, Bhutani G, McGuirk K, Huntley F, Jordan J, Rowlandson A, Sarsam M, Ten Cate H, Walker H, Watson R, Wilkinson J, Willbourn J, French P. The Resilience Hub approach for addressing mental health of health and social care workers during the COVID-19 pandemic: a mixed-methods evaluation. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2024; 12:1-164. [PMID: 39264827 DOI: 10.3310/hgqr5133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/14/2024]
Abstract
Background Resilience Hubs provide mental health screening, facilitation of access and direct provision of psychosocial support for health and social care keyworkers in England affected by the coronavirus disease 2019 pandemic. Aim To explore implementation of the Hubs, including characteristics of staff using the services, support accessed, costing data and a range of stakeholder perspectives on the barriers and enablers to Hub use and implementation of staff well-being support within the context of the pandemic. Design Mixed-methods evaluation. Setting Four Resilience Hubs. Methods Findings were integrated via mixed-method case studies, including: analyses of Hub mental health screening (N = 1973); follow-up questionnaire data (N = 299) on service use and health status of Hub clients; economic information provided by the Hubs; 63 interviews with Hub staff, wider stakeholders, Hub clients and keyworkers who did not use the Hubs. Results Findings were consistent across Hubs and workstreams. Most Hub clients were NHS staff. Under-represented groups included men, keyworkers from minority ethnic communities, care homes and emergency services staff. Clients reported comorbid mental health needs across multiple domains (anxiety; depression; post-traumatic stress; alcohol use; functioning). Their health status was lower than population norms and relevant pre-pandemic data. Several factors predicted higher needs, but having pre-pandemic emotional well-being concerns was one of the most robust predictors of higher need. Sixty per cent of participants who completed follow-up questionnaires reported receiving mental health support since Hub screening, most of which was directly or indirectly due to Hub support. High levels of satisfaction were reported. As in many services, staffing was the central component of Hub cost. Hubs were predominantly staffed by senior clinicians; this staffing model was consistent with the generally severe difficulties experienced by clients and the need for systemic/team-based working. Costs associated with health and social care use for Hub clients were low, which may be due to barriers to accessing support in general. Enablers to accessing Hubs included: a clear understanding of the Hubs, how to self-refer, and managerial support. Barriers included confusion between Hubs and other support; unhelpful beliefs about job roles, unsupportive managers, negative workplace cultures and difficulties caused by systemic issues. Some keyworkers highlighted a perceived need for further diversity and cultural competency training to improve reach to under-represented communities. Other barriers for these groups included prior negative experiences of services, structural inequalities and stigma. Some wider stakeholders had concerns around growing waiting times for Hub-provided therapy, and insufficient data on Hub usage and outcomes. Feedback was otherwise very positive. Limitations Main limitations included lack of comparative and pre-pandemic/baseline data, small numbers from under-represented groups limiting fine-grained analysis, and participant self-selection. Conclusions Findings highlighted the value of the Hub model of outreach, screening, support navigation and provision of direct support during the coronavirus disease 2019 pandemic, and as a potential model to respond to future crises. The research provided recommendations to improve Hub promotion, equality/diversity/inclusion access issues, management of specialist resources and collection of relevant data on Hub outcomes and activities. Broader recommendations for the primary prevention of mental health difficulties across the health and care system are made, as individual support offers should be an adjunct to, not a replacement for, resolutions to systemic challenges. Research recommendations are made to conduct more robust evaluations of the clinical and cost-effectiveness of the Hubs, using larger data sets and comparative data. Study registration This study is registered as researchregistry6303. 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: NIHR132269) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 29. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Filippo Varese
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Research and Innovation, Manchester, UK
| | - Kate Allsopp
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Research and Innovation, Manchester, UK
| | - Lesley-Anne Carter
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
| | - Gemma Shields
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
| | - Daniel Hind
- University of Sheffield, School of Health and Related Research, Sheffield, UK
| | - Linda Davies
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
| | - Alan Barrett
- Greater Manchester Resilience Hub, Pennine Care NHS Foundation Trust, Lancashire, UK
- University of Salford, School of Health and Society, Salford, UK
| | - Gita Bhutani
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
- Lancashire and South Cumbria Resilience Hub, Lancashire and South Cumbria NHS Foundation Trust, Preston, UK
| | - Katherine McGuirk
- Greater Manchester Health and Social Care Partnership, Manchester, UK
| | - Fay Huntley
- Cheshire and Merseyside Resilience Hub, Mersey Care NHS Foundation Trust, Prescot, UK
| | - Joanne Jordan
- Humber and North Yorkshire Resilience Hub, Tees Esk and Wear Valleys NHS Foundation Trust, West Park Hospital, Darlington, UK
| | - Aleix Rowlandson
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
| | - May Sarsam
- Cheshire and Merseyside Resilience Hub, Mersey Care NHS Foundation Trust, Prescot, UK
| | - Hein Ten Cate
- Lancashire and South Cumbria Resilience Hub, Lancashire and South Cumbria NHS Foundation Trust, Preston, UK
| | - Holly Walker
- Humber and North Yorkshire Resilience Hub, Tees Esk and Wear Valleys NHS Foundation Trust, West Park Hospital, Darlington, UK
| | - Ruth Watson
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Research and Innovation, Manchester, UK
| | - Jack Wilkinson
- Faculty of Biology, Medicine and Health, University of Manchester, School of Health Sciences, Manchester Academic Health Science Centre, Manchester, UK
| | - Jenni Willbourn
- Greater Manchester Resilience Hub, Pennine Care NHS Foundation Trust, Lancashire, UK
| | - Paul French
- Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, UK
- Pennine Care NHS Foundation Trust, Lancashire, UK
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Baysari MT, Van Dort BA, Stanceski K, Hargreaves A, Zheng WY, Moran M, Day RO, Li L, Westbrook J, Hilmer SN. Qualitative study of challenges with recruitment of hospitals into a cluster controlled trial of clinical decision support in Australia. BMJ Open 2024; 14:e080610. [PMID: 38479736 PMCID: PMC10936458 DOI: 10.1136/bmjopen-2023-080610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/28/2024] [Indexed: 03/26/2024] Open
Abstract
OBJECTIVE To identify barriers to hospital participation in controlled cluster trials of clinical decision support (CDS) and potential strategies for addressing barriers. DESIGN Qualitative descriptive design comprising semistructured interviews. SETTING Five hospitals in New South Wales and one hospital in Queensland, Australia. PARTICIPANTS Senior hospital staff, including department directors, chief information officers and those working in health informatics teams. RESULTS 20 senior hospital staff took part. Barriers to hospital-level recruitment primarily related to perceptions of risk associated with not implementing CDS as a control site. Perceived risks included reductions in patient safety, reputational risk and increased likelihood that benefits would not be achieved following electronic medical record (EMR) implementation without CDS alerts in place. Senior staff recommended clear communication of trial information to all relevant stakeholders as a key strategy for boosting hospital-level participation in trials. CONCLUSION Hospital participation in controlled cluster trials of CDS is hindered by perceptions that adopting an EMR without CDS is risky for both patients and organisations. The improvements in safety expected to follow CDS implementation makes it challenging and counterintuitive for hospitals to implement EMR without incorporating CDS alerts for the purposes of a research trial. To counteract these barriers, clear communication regarding the evidence base and rationale for a controlled trial is needed.
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Affiliation(s)
- Melissa T Baysari
- Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Bethany Annemarie Van Dort
- Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Kristian Stanceski
- Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | | | - Wu Yi Zheng
- Black Dog Institute, Randwick, New South Wales, Australia
| | - Maria Moran
- Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Richard O Day
- Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical Campus, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ling Li
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Johanna Westbrook
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Sarah N Hilmer
- Clinical Pharmacology and Aged Care, Royal North Shore Hospital, St Leonards, New South Wales, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Kolling Institute of Medical Research, St Leonards, New South Wales, Australia
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