Evidence map›Paper›PMID 27141033›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2016

Impact of the National Health Service Health Check on cardiovascular disease risk: a difference-in-differences matching analysis.

Kiara Chu-Mei Chang, John Tayu Lee, Eszter P Vamos, Michael Soljak, Desmond Johnston, Kamlesh Khunti, Azeem Majeed, Christopher Millett

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
9.1field-weighted citation impact, top 2% of its field
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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Delivery and impact of the NHS Health Check in the first 8 years: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
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  5. Pooled it
  6. Trial
  7. Trial
  8. Enhanced Invitations Using the Question-Behavior Effect and Financial Incentives to Promote Health Check Uptake in Primary Care.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018
    Trial
  9. Article
  10. Review
  11. Article
  12. Article
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  15. Progression of stroke risk in patients aged <65 years diagnosed with atrial fibrillation: a cohort study in general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  16. Observational
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Kiara Chu-Mei ChangDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK chu-mei.chang@imperial.ac.uk.
John Tayu LeeDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Eszter P VamosDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Michael SoljakDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Desmond JohnstonDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Kamlesh KhuntiDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Azeem MajeedDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Christopher MillettDepartment of Primary Care and Public Health (Chang, Lee, Vamos, Soljak, Majeed, Millet) and Division of Diabetes, Endocrinology and Metabolism (Johnston), Department of Medicine, Imperial College, London, UK; Saw Swee Hock School of Public Health (Lee), National University of Singapore, Singapore; Diabetes Research Centre (Khunti), Leicester Diabetes Centre, University of Leicester, Leicester, UK.
Imperial College London · GBNational University of Singapore · SGDiabetes UK · GBUniversity of Leicester · GB

Funding

Department of Health RP_2014-04-032
6 · The paper itself

Abstract

backgroundThe National Health Service Health Check program in England is the largest cardiovascular risk assessment and management program in the world. We assessed the effect of this program on modelled risk of cardiovascular disease, individual risk factors for cardiovascular disease, prescribing of relevant medications and diagnosis of vascular disease.

methodsWe obtained retrospective electronic medical records for a randomly selected sample of 138 788 patients aged 40-74 years registered with 462 English general practices participating in the Clinical Practice Research Datalink between 2009 and 2013. We used a quasi-experimental design of difference-indifferences matching analysis to compare changes in outcomes between Health Check attendees and nonattendees, with a median follow-up time of 2 years.

resultsOverall, 21.4% of the eligible population attended a Health Check. After matching (n = 29 672 in each group), attendees had a significant absolute reduction in modelled risk for cardiovascular disease (-0.21%, 95% confidence interval [CI] -0.24% to -0.19%) and individual risk factors: systolic blood pressure (-2.51 mm Hg, 95% CI -2.77 to -2.25 mm Hg), diastolic blood pressure (-1.46 mm Hg, 95% CI -1.62 to -1.29 mm Hg), body mass index (-0.27, 95% CI -0.34 to -0.20) and total cholesterol (-0.15 mmol/L, 95% CI -0.18 to -0.13 mmol/L). Statins were prescribed for 39.9% of attendees who were at high risk for cardiovascular disease. The program resulted in significantly more diagnoses of selected vascular diseases among attendees, with the largest increases for hypertension (2.99%) and type 2 diabetes mellitus (1.31%).

interpretationThe National Health Service Health Check program had statistically significant but clinically modest impacts on modelled risk for cardiovascular disease and individual risk factors, although diagnosis of vascular disease increased. Overall program performance was substantially below national and international targets, which highlights the need for careful planning, monitoring and evaluation of similar initiatives internationally.

Indexed as

Blood PressureAdultAgedBody Mass IndexCardiovascular DiseasesCholesterolDatabases, FactualDiabetes Mellitus, Type 2EnglandFemaleGeneral PracticeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedRegression AnalysisCholesterolHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID27141033
PMCPMC4938708
OpenAlexW2342645455

What OpenQuestion holds

Texttitle and abstract
Read underepoch 390

Registered trials

None linked

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.