The Resilience Hub approach for addressing mental health of health and social care workers during the COVID-19 pandemic: A mixed-methods evaluation

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.

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Identifiers

DOI

https://doi.org/10.3310/HGQR5133

Repository URI

https://www.research.ed.ac.uk/en/publications/2951d155-613b-4aef-a53b-64e7ed5d614a