2016
DOI: 10.1503/cmaj.151201
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Impact of the National Health Service Health Check on cardiovascular disease risk: a difference-in-differences matching analysis

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Cited by 60 publications
(96 citation statements)
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References 41 publications
(51 reference statements)
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“…28,29 Public Health England is addressing improvements. [30][31][32] This study took place in three neighbouring inner-London CCGs with some of the most ethnically diverse and socially deprived populations in the UK. Out of a population of 950 000, 50% are from ethnic minority groups, of which 30% are South Asian and 10% are black African-Caribbean.…”
Section: Introductionmentioning
confidence: 99%
“…28,29 Public Health England is addressing improvements. [30][31][32] This study took place in three neighbouring inner-London CCGs with some of the most ethnically diverse and socially deprived populations in the UK. Out of a population of 950 000, 50% are from ethnic minority groups, of which 30% are South Asian and 10% are black African-Caribbean.…”
Section: Introductionmentioning
confidence: 99%
“…med. (2018) XX: [1][2][3][4][5][6][7][8][9][10][11][12]deprived quintile for England. There were 35.9% White, 19.5% Black African / Caribbean and 19.6% mixed ethnicity participants.…”
Section: Main Trial Resultsmentioning
confidence: 99%
“…The health check program was judged to be potentially cost-effective if 75% of eligible participants were to take up the offer of a check [7]. Health checks remain controversial because of the questionable evidence for the effectiveness of a health check program [8,9], the variable organization and delivery of the program [10] and the small effects it may achieve [11]. Nevertheless, maximizing uptake of health checks remains important for realizing the aims of the health check program and ensuring that the existing health inequalities are not perpetuated.…”
Section: Introductionmentioning
confidence: 99%
“…We used a robust difference-in-differences matching model to account for the underlying trends in cardiovascular risk over time. 3 We acknowledged the potential limitation in using multiple imputation to address missing data, but our findings using a complete case analysis (i.e., only considered non-attendees with complete risk factor data) were broadly similar. 3 In response to their concerns about not basing our analysis on patient attendance identified by a Read code, we have compared risk reduction in attendees identified by Read codes and nonattendees (both without a Read code or algorithm-identified attendance).…”
mentioning
confidence: 74%
“…2 Our findings also suggest that the NHS Health Check may have improved detection of hypertension, type 2 diabetes mellitus and chronic kidney disease. 3 A recent microsimulation study performed by Kypridemos and colleagues 5 has estimated the impact of NHS Health Check on morbidity and mortality from cardiovascular disease, and compared that with other public health strategies. The authors found that universal screening was the least effective strategy in reducing health inequalities, whereas a combination of population-wide intervention and targeted screening (for the most deprived areas) was the most effective.…”
mentioning
confidence: 99%