Uptake and variation of NHS Health Checks
| Study characteristics | Uptake, % | Multivariable logistic regression analysis of individual-level factor affecting uptake of NHS Health Checks, OR (95% CI) | ||||||
|---|---|---|---|---|---|---|---|---|
| Author, year | Study design/setting | Sample where reported | Age | Sex | Ethnicity | Deprivation (area level) | Other | |
| Public Health England38 | Published data, whole of England | Whole population data | 48.2 | Not reported | ||||
| Attwood, 201634 | Triala set in four GP practices in the East of England | 1380 patients Mean age: 52.4 Male: 49.7% White: 72.9% | 27.0 | For each increasing year: 1.05 (1.04 to 1.07)d | Female: 1.29 (0.95 to 1.76) | Compared with white: Other: 0.85 (0.29 to 2.52) | Most deprived quintile compared with least deprived : 0.42 (0.20 to 0.88)d | –c |
| Cochrane, 201327 | Observational study using electronic practice records from 37 (of 57) GP practices in Stoke-on-Trent | 10 483 high-risk patients Aged >55: 79.6% Aged >65: 36.4% Male: 81.3% | 43.7 | Change in odds moving to next category higher for age ≥30 to <55, ≥55 to <65, and ≥65: 1.64 (1.51 to 1.77)d | Female: 0.70 (0.58 to 0.84)d | – | Change in odds moving to next deprivation tertile from least deprived: 1.12 (0.96 to 1.30) | Change in odds moving to next: Higher-risk category ≥15 to <25%, ≥25 to <35%, and ≥35% estimated 10-year risk: 0.90 (0.80 to 1.02) Larger practice size <3500, ≥3500 to <7000, and ≥7000 1.03 (0.88 to 1.20) |
| Coffee, 2015d,12 | Observational study using data from two community medical centres in Birmingham | 188 patients already using secondary mental health services | 71.8 | Not reported | ||||
| Coghill, 2016d,14 | Quasi-experimental study/electronic practice records of 17 GP practices in Bristol | 5678 patients | 34.1 | Compared with age 40–69: Age 70–74: 2.09d | Male: 0.82d | – | Least deprived quintile most likely to attend | – |
| Cook, 201629 | Observational study using electronic practice records from 30 (all) GP practices in Luton | 50 485 patients Aged >55: 30.5% Aged >65: 7.6% Male: 53.3% White British: 32.5% | 43.7 | Not reported | ||||
| Dalton, 201126 | Observational study using electronic practice records from 29 (of 86) GP practices in Ealing, London | 5294 high-risk patients Aged >55: 80.8% Aged >65: 40.8% Male: 80.9% White British: 21.7% | 44.8 | Compared with age 35–54: Age 55–64: 1.74 (1.34 to 2.25)d Age 65–74: 2.27 (1.47 to 3.50)d | Age 35–54:b Female 1.71 (1.03 to 2.85)d Aged 55–64: Female 1.22 (0.89 to 1.67) Aged 65–74: Female 0.96 (0.76 to 1.22) | Compared with white: South Asian: 1.71 (1.29 to 2.27)d Mixed race: 2.42 (1.50 to 3.89)d Black: 1.34 (0.91 to 1.98) Other: 1.15 (0.76 to 1.74) Missing: 0.51 (0.30 to 0.88)d | – | Practice size: Compared with 3000–5999 <3000: 2.53 (1.09 to 5.84)d ≥6000: 0.79 (0.33 to 1.88) Hypertension: 1.31 (1.15 to 1.51)d Smoker: 0.88 (0.75 to 1.02) |
| Hooper, 201433 | Observational study using data from 40 GP practices in Warwickshire | 37 236 patients | 44.8 | Not reported | ||||
| Krska, 201530 | Observational study using electronic practice records in 13 (of 55) GP practices in Sefton, North West England | 2892 high-risk patients Aged >65: 69.4% Male: 78.3% White: 99.1% | 52.9 | Not reported | ||||
| Kumar, 201132 | Observational study using data from two (of approx 57) GP practices in Stoke-on-Trent | 1606 patients (of whom 661 were high-risk patients) Aged >60: 31.5% Male: 56.7% | 30.9 | Not reported | ||||
| NHS Greenwich,16 | Observational study using data from five community-based venues in South East London | 1400 patients Aged >65: 27.5% Male: 45.1% | 45.9 | Not reported | ||||
| Sallis, 201635 | Pragmatic quasi-randomised controlled trial in four GP practices in Medway | 3511 patients Mean age: 53.1 Male: 49.1% | 31.4 | For each increase in 10 years: 1.62 (1.50 to 1.75)d | Female: 1.50 (1.29 to 1.74)d | – | Least deprived quintile compared with most deprived 1.61 (1.14 to 2.26)d | – |