Decision Making Through Simulation in Public Policy Management Field

Ruiz, M. M.; Zabaleta, Noemi; Elorza, Unai

doi:10.21125/inted.2016.0911

Cited by 2 publications

(1 citation statement)

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“…24 Furthermore, computational modelling for decision support is not just a data and mathematical problem; it requires a closed collaboration between the commissioners, modellers, reviewers and users. [181][182][183] Trends in evidence used in local-level public health decision-making in England showed that key aspects are the importance of local evidence for local decisions, the critical role of local expertise in providing and interpreting the evidence and placing high value on local evaluation. 184 This was an issue that also came across firmly in our co-production exercises.…”

Section: Introductionmentioning

confidence: 99%

Modelling tool to support decision-making in the NHS Health Check programme: workshops, systematic review and co-production with users

O’Flaherty

Lloyd-Williams

Capewell

et al. 2021

Health Technol Assess

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Background Local authorities in England commission the NHS Health Check programme to invite everyone aged 40–74 years without pre-existing conditions for risk assessment and eventual intervention, if needed. However, the programme’s effectiveness, cost-effectiveness and equity impact remain uncertain. Aim To develop a validated open-access flexible web-based model that enables local commissioners to quantify the cost-effectiveness and potential for equitable population health gain of the NHS Health Check programme. Objectives The objectives were as follows: (1) co-produce with stakeholders the desirable features of the user-friendly model; (2) update the evidence base to support model and scenario development; (3) further develop our computational model to allow for developments and changes to the NHS Health Check programme and the diseases it addresses; (4) assess the effectiveness, cost-effectiveness and equity of alternative strategies for implementation to illustrate the use of the tool; and (5) propose a sustainability and implementation plan to deploy our user-friendly computational model at the local level. Design Co-production workshops surveying the best-performing local authorities and a systematic literature review of strategies to increase uptake of screening programmes informed model use and development. We then co-produced the workHORSE (working Health Outcomes Research Simulation Environment) model to estimate the health, economic and equity impact of different NHS Health Check programme implementations, using illustrative-use cases. Setting Local authorities in England. Participants Stakeholders from local authorities, Public Health England, the NHS, the British Heart Foundation, academia and other organisations participated in the workshops. For the local authorities survey, we invited 16 of the best-performing local authorities in England. Interventions The user interface allows users to vary key parameters that represent programme activities (i.e. invitation, uptake, prescriptions and referrals). Scenarios can be compared with each other. Main outcome measures Disease cases and case-years prevented or postponed, incremental cost-effectiveness ratios, net monetary benefit and change in slope index of inequality. Results The survey of best-performing local authorities revealed a diversity of effective approaches to maximise the coverage and uptake of NHS Health Check programme, with no distinct ‘best buy’. The umbrella literature review identified a range of effective single interventions. However, these generally need to be combined to maximally improve uptake and health gains. A validated dynamic, stochastic microsimulation model, built on robust epidemiology, enabled service options analysis. Analyses of three contrasting illustrative cases estimated the health, economic and equity impact of optimising the Health Checks, and the added value of obtaining detailed local data. Optimising the programme in Liverpool can become cost-effective and equitable, but simply changing the invitation method will require other programme changes to improve its performance. Detailed data inputs can benefit local analysis. Limitations Although the approach is extremely flexible, it is complex and requires substantial amounts of data, alongside expertise to both maintain and run. Conclusions Our project showed that the workHORSE model could be used to estimate the health, economic and equity impact comprehensively at local authority level. It has the potential for further development as a commissioning tool and to stimulate broader discussions on the role of these tools in real-world decision-making. Future work Future work should focus on improving user interactions with the model, modelling simulation standards, and adapting workHORSE for evaluation, design and implementation support. Study registration This study is registered as PROSPERO CRD42019132087. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 35. See the NIHR Journals Library website for further project information.

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