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Published on: October 23, 2020
Association of the NHS Health Check with all-cause mortality: a longitudinal cohort study in primary care
Jasjot Saund1,2, Jacopo Vanoli3,4, Pierre Masselot5
1London Borough of Lambeth Public Health Team, London, UK jasjot.Saund1@student.lshtm.ac.uk.
Background:
Cardiovascular disease (CVD) prevention is a policy priority because of widening inequalities and increasing preventable deaths. The NHS Health Check (NHS-HC) programme aims to promote early detection and prevention of CVD but has a wider-reaching impact owing to targeting multiple risk factors. Although programme evaluations demonstrate improvements in detection and surrogate markers, research on mortality outcomes remain limited, particularly using representative, real-world data.
Aim:
To evaluate the effectiveness of NHS-HCs in reducing all-cause mortality.
Design And Setting:
Longitudinal cohort study in an inner-city London borough.
Method:
Data from electronic primary care records were analysed for 158 645 eligible participants (2009-2023). Survival was modelled using a Cox proportional hazards model with time-varying exposure. All-cause mortality risk was compared between those attending ≥1 NHS-HC (n = 42 589) and those who did not (n = 116 056). Sociodemographic, geographic, and behavioural factors were adjusted using propensity score weighting.
Results:
Of the 158 645 participants, 63 347 (39.9%) were of Black, Asian, mixed, or other ethnicity, and 100 825 (63.6%) lived in the two most deprived quintiles in England. Attendance at ≥1 NHS-HC was associated with lower mortality (adjusted hazard ratio 0.68, 95% confidence interval = 0.63 to 0.74), indicating a 32% reduction in risk. Ten-year absolute mortality risk reduction increased with age, with the largest difference among those aged 70-74 years (18.1% versus 12.9%). Sensitivity analyses supported these findings.
Conclusion:
This study suggests significant long-term survival benefit associated with the NHS-HC, supporting continued investment in and optimisation of the programme to provide population health benefits. Findings were robust to missing data assumptions and COVID-19, although residual confounding cannot be ruled out.
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