Evidence map›Paper›PMID 34076574›Full record

ArticleHealth technology assessment (Winchester, England)2021

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

Martin O'Flaherty, Ffion Lloyd-Williams, Simon Capewell, Angela Boland, Michelle Maden, Brendan Collins, Piotr Bandosz, Lirije Hyseni, Chris Kypridemos

Abstract read
In one paragraph

Article in Health technology assessment (Winchester, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0001-8944-4131
Ffion Lloyd-WilliamsDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0002-9422-8174
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0003-3960-8999
Angela BolandLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0002-5435-8644
Michelle MadenLiverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK.ORCID 0000-0003-4419-6343
Brendan CollinsDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0002-3023-8189
Piotr BandoszDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0002-6395-6216
Lirije HyseniDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0002-6620-9953
Chris KypridemosDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0746-9229

Funding

Department of Health 16/165/01
6 · The paper itself

Abstract

backgroundLocal 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.

aimTo 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.

objectivesThe 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.

designCo-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.

settingLocal authorities in England.

participantsStakeholders 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.

interventionsThe 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 measuresDisease cases and case-years prevented or postponed, incremental cost-effectiveness ratios, net monetary benefit and change in slope index of inequality.

resultsThe 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.

conclusionsOur 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.

fundingThis project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in

Indexed as

Health PromotionState MedicineCost-Benefit AnalysisHumansSurveys and QuestionnairesSystematic Reviews as TopicTechnology Assessment, BiomedicalCARDIOVASCULAR DISEASECO-PRODUCTIONCOST-EFFECTIVENESSECONOMICSEFFECTIVENESSEQUITYGROUP MODEL BUILDINGLOCAL AUTHORITIESMICROSIMULATION MODELLINGNHS HEALTH CHECK PROGRAMMEPOPULATION HEALTH GAINSTAKEHOLDER ENGAGEMENTUMBRELLA REVIEW

Identifiers

PMID34076574
PMCPMC8201571

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.