Study | Findings |
---|---|
Artac et al., 2013 [20] | Practice List Size Year 2 (all eligible patients) > 10,000 vs. < 6000 (baseline): AOR = 6.05, 95% CI = 0.84–43.3, p < .010 Unexplained variance in models was interpreted as attributable to unmeasured practice factors Year 1 unexplained variance = 19.4, 95% CI = 15.2–24.4% Year 2 unexplained variance = 37.3, 95% CI = 30.6–44.6% |
Attwood et al., 2016 [19] | Significant variance in uptake by practice X22 = 74.61, p < .005 Adjusting analyses for GP Practice had a substantial effect on the strength and direction of associations between socio-demographic variables (specifically gender and IMD quintile; see relevant sections above) and uptake. |
Cochrane et al., 2013 [23] | Practice Size AOR = 1.03, 95% CI = 0.88–1.20, p > .100 Variance accounted for by individual practices = 12.7%, p < .001 |
Dalton et al., 2011 [24] | Practice List Size < 3000 vs. 3000–5999 (baseline): AOR = 2.53, 95% CI = 1.09–5.84, p = .030 ≥ 6000 vs. 3000–5999 (baseline): AOR = 0.79, 95% CI = 0.33–1.88, p = .599 Variance in models accounted for by practice = 28% (VPC = 0.28) |
Gidlow et al., 2014 [9] | Variation in uptake by practice X2 = 336.9, p < .001 Variation in uptake by distance to practice X2 = 0.478, p = .924 |
Sallis et al., 2016 [21] | Of the five practices studied, one (used as baseline in analyses) had significantly higher uptake rates than all others (all p < .010). |