BACKGROUND: Health policy in the UK is increasingly focused on the measurement of outcomes rather than structures and processes of health care. AIM: To develop a measure of the effectiveness of primary care in terms of population health outcomes. DESIGN AND SETTING: A cross-sectional study of general practices in England. METHOD: Twenty clinical quality of care indicators for which there was evidence of mortality reduction were identified from the national Quality and Outcomes Framework (QOF) pay-for-performance scheme. The number of lives saved by 8136 English practices (97.97% of all practices) in 2009/2010 was estimated, based on their performance on these measures, and a public health impact measure, the PHI score, was constructed. Multilevel regression models were used to identify practice and population predictors of PHI scores. RESULTS: The mean estimated PHI score was 258.9 (standard deviation [SD] = 73.3) lives saved per 100 000 registered patients, per annum. This represents 75.7% of the maximum potential PHI score of 340.9 (SD = 91.8). PHI and QOF scores were weakly correlated (Pearson r = 0.28). The most powerful predictors of PHI score were the prevalence of the relevant clinical conditions (β = 0.77) and the proportion of patients aged ≥65 years (β = 0.22). General practices that were less successful at achieving their maximum potential PHI score were those with a lower prevalence of relevant conditions (β = 0.29), larger list sizes (β = -0.16), greater area deprivation (β = -0.15), and a larger proportion of patients aged ≥65 years (β = -0.13). CONCLUSION: The PHI score is a potential alternative metric of practice performance, measuring the estimated mortality reduction in the registered population. Rewards under the QOF pay-for-performance scheme are not closely aligned to the public health impact of practices.
BACKGROUND: Health policy in the UK is increasingly focused on the measurement of outcomes rather than structures and processes of health care. AIM: To develop a measure of the effectiveness of primary care in terms of population health outcomes. DESIGN AND SETTING: A cross-sectional study of general practices in England. METHOD: Twenty clinical quality of care indicators for which there was evidence of mortality reduction were identified from the national Quality and Outcomes Framework (QOF) pay-for-performance scheme. The number of lives saved by 8136 English practices (97.97% of all practices) in 2009/2010 was estimated, based on their performance on these measures, and a public health impact measure, the PHI score, was constructed. Multilevel regression models were used to identify practice and population predictors of PHI scores. RESULTS: The mean estimated PHI score was 258.9 (standard deviation [SD] = 73.3) lives saved per 100 000 registered patients, per annum. This represents 75.7% of the maximum potential PHI score of 340.9 (SD = 91.8). PHI and QOF scores were weakly correlated (Pearson r = 0.28). The most powerful predictors of PHI score were the prevalence of the relevant clinical conditions (β = 0.77) and the proportion of patients aged ≥65 years (β = 0.22). General practices that were less successful at achieving their maximum potential PHI score were those with a lower prevalence of relevant conditions (β = 0.29), larger list sizes (β = -0.16), greater area deprivation (β = -0.15), and a larger proportion of patients aged ≥65 years (β = -0.13). CONCLUSION: The PHI score is a potential alternative metric of practice performance, measuring the estimated mortality reduction in the registered population. Rewards under the QOF pay-for-performance scheme are not closely aligned to the public health impact of practices.
Authors: A L Siu; E A McGlynn; H Morgenstern; M H Beers; D M Carlisle; E B Keeler; J Beloff; K Curtin; J Leaning; B C Perry Journal: Health Serv Res Date: 1992-12 Impact factor: 3.402
Authors: Steven D Pearson; Eric C Schneider; Ken P Kleinman; Kathryn L Coltin; Janice A Singer Journal: Health Aff (Millwood) Date: 2008 Jul-Aug Impact factor: 6.301
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Authors: Richard Baker; Kate Honeyford; Louis S Levene; Arch G Mainous; David R Jones; M John Bankart; Tim Stokes Journal: BMJ Open Date: 2016-02-11 Impact factor: 2.692
Authors: Miqdad Asaria; Shehzad Ali; Tim Doran; Brian Ferguson; Robert Fleetcroft; Maria Goddard; Peter Goldblatt; Mauro Laudicella; Rosalind Raine; Richard Cookson Journal: J Epidemiol Community Health Date: 2016-01-19 Impact factor: 3.710