Dataset Information

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study.

ABSTRACT: BACKGROUND:Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to continuously engage with stakeholders to inform the development of an open access modelling tool to enable commissioners to quantify the potential cost-effectiveness and equity of the NHS Health Check Programme. An objective of the project was to evaluate the involvement of stakeholders in co-producing the WorkHORSE computer modelling tool and examine how they perceived their involvement in the model building process and ultimately contributed to the strengthening and relevance of the modelling tool. METHODS:We identified stakeholders using our extensive networks and snowballing techniques. Iterative development of the decision support modelling tool was informed through engaging with stakeholders during four workshops. We used detailed scripts facilitating open discussion and opportunities for stakeholders to provide additional feedback subsequently. At the end of each workshop, stakeholders and the research team completed questionnaires to explore their views and experiences throughout the process. RESULTS:30 stakeholders participated, of which 15 attended two or more workshops. They spanned local (NHS commissioners, GPs, local authorities and academics), third sector and national organisations including Public Health England. Stakeholders felt valued, and commended the involvement of practitioners in the iterative process. Major reasons for attending included: being able to influence development, and having insight and understanding of what the tool could include, and how it would work in practice. Researchers saw the process as an opportunity for developing a common language and trust in the end product, and ensuring the support tool was transparent. The workshops acted as a reality check ensuring model scenarios and outputs were relevant and fit for purpose. CONCLUSIONS:Computational modellers rarely consult with end users when developing tools to inform decision-making. The added value of co-production (continuing collaboration and iteration with stakeholders) enabled modellers to produce a "real-world" operational tool. Likewise, stakeholders had increased confidence in the decision support tool's development and applicability in practice.

SUBMITTER: Lloyd-Williams F

PROVIDER: S-EPMC7418313 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study.

Lloyd-Williams Ffion F Hyseni Lirije L Guzman-Castillo Maria M Kypridemos Chris C Collins Brendan B Capewell Simon S Schwaller Ellen E O'Flaherty Martin M

BMC medical informatics and decision making 20200810 1

<h4>Background</h4>Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to continuously engage with stakeholders to inform the development of an open access modelling tool to enable commissioners to quantify the potential cost-effectiveness and equity of the NHS Health Check Programme. An objective of the project was to evaluate the involvement ...[more]

PMID: 32778087

Similar Datasets

Project description:ObjectiveTo synthesise the existing literature on care transition planning from the perspectives of older adults, caregivers and health professionals and to identify the factors that may influence these stakeholders' transition decision-making processes.DesignA scoping review guided by Arksey and O'Malley's six-step framework. A comprehensive search strategy was conducted on 7 January 2021 to identify articles in five databases (MEDLINE, Embase, CINAHL Plus, PsycINFO and AgeLine). Records were included when they described care transition planning in an institutional setting from the perspectives of the care triad (older adults, caregivers and health professionals). No date or study design restrictions were imposed.SettingThis review explored care transitions involving older adults from an institutional care setting to any other institutional or non-institutional care setting. Institutional care settings include communal facilities where individuals dwell for short or extended periods of time and have access to healthcare services.ParticipantsOlder adults (aged 65 or older), caregivers and health professionals.Results39 records were included. Stakeholder involvement in transition planning varied across the studies. Transition decisions were largely made by health professionals, with limited or unclear involvement from older adults and caregivers. Seven factors appeared to guide transition planning across the stakeholder groups: (a) institutional priorities and requirements; (b) resources; (c) knowledge; (d) risk; (e) group structure and dynamic; (f) health and support needs; and (g) personality preferences and beliefs. Factors were described at microlevels, mesolevels and macrolevels.ConclusionsThis review explored stakeholder involvement in transition planning and identified seven factors that appear to influence transition decision-making. These factors may be useful in advancing the delivery of person and family-centred care by determining how individual-level, group-level and system-level values guide decision-making. Further research is needed to understand how various stakeholder groups balance these factors during transition planning in different health contexts.

Project description:Patient and Public Involvement and Engagement (PPIE) in research is recognised by the National Institute for Health and Care Research as crucial for high quality research with practical benefit for patients and carers. Patient and public contributors can provide both personal knowledge and lived experiences which complement the perspectives of the academic research team. Nevertheless, effective PPIE must be tailored to the nature of the research, such as the size and scope of the research, whether it is researcher-led or independently commissioned, and whether the research aims to design an intervention or evaluate it. For example, commissioned research evaluations have potential limits on how PPIE can feed into the design of the research and the intervention. Such constraints may require re-orientation of PPIE input to other functions, such as supporting wider engagement and dissemination. In this commentary, we use the 'Guidance for Reporting Involvement of Patients and the Public' (GRIPP2) short form to share our own experiences of facilitating PPIE for a large, commissioned research project evaluating the National Health Service Diabetes Prevention Programme; a behavioural intervention for adults in England who are at high risk of developing type 2 diabetes. The programme was already widely implemented in routine practice when the research project and PPIE group were established. This commentary provides us with a unique opportunity to reflect on experiences of being part of a PPIE group in the context of a longer-term evaluation of a national programme, where the scope for involvement in the intervention design was more constrained, compared to PPIE within researcher-led intervention programmes. We reflect on PPIE in the design, analysis and dissemination of the research, including lessons learned for future PPIE work in large-scale commissioned evaluations of national programmes. Important considerations for this type of PPIE work include: ensuring the role of public contributors is clarified from the outset, the complexities of facilitating PPIE over longer project timeframes, and providing adequate support to public contributors and facilitators (including training, resources and flexible timelines) to ensure an inclusive and considerate approach. These findings can inform future PPIE plans for stakeholders involved in commissioned research.

Project description:ObjectivesThe Chronic Pain Treatment Tracker (Tx Tracker) is a prototype decision support tool to aid primary care clinicians when caring for patients with chronic noncancer pain. This study evaluated clinicians' perceived utility of Tx Tracker in meeting information needs and identifying treatment options, and preferences for visual design.MethodsWe conducted 12 semi-structured interviews with primary care clinicians from four health systems in Indiana. The interviews were conducted in two waves, with prototype and interview guide revisions after the first six interviews. The interviews included exploration of Tx Tracker using a think-aloud approach and a clinical scenario. Clinicians were presented with a patient scenario and asked to use Tx Tracker to make a treatment recommendation. Last, participants answered several evaluation questions. Detailed field notes were collected, coded, and thematically analyzed by four analysts.ResultsWe identified several themes: the need for clinicians to be presented with a comprehensive patient history, the usefulness of Tx Tracker in patient discussions about treatment planning, potential usefulness of Tx Tracker for patients with high uncertainty or risk, potential usefulness of Tx Tracker in aggregating scattered information, variability in expectations about workflows, skepticism about underlying electronic health record data quality, interest in using Tx Tracker to annotate or update information, interest in using Tx Tracker to translate information to clinical action, desire for interface with visual cues for risks, warnings, or treatment options, and desire for interactive functionality.ConclusionTools like Tx Tracker, by aggregating key information about past, current, and potential future treatments, may help clinicians collaborate with their patients in choosing the best pain treatments. Still, the use and usefulness of Tx Tracker likely relies on continued improvement of its functionality, accurate and complete underlying data, and tailored integration with varying workflows, care team roles, and user preferences.

Dataset Information

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study.

Publications

Evaluating stakeholder involvement in building a decision support tool for NHS health checks: co-producing the WorkHORSE study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets