This study exploits a natural experiment in the province of Ontario, Canada, to identify the impact of pay-for-performance (P4P) incentives on the provision of targeted primary care services and whether physicians' responses differ by age, size of patient population, and baseline compliance level. We use administrative data that cover the full population of Ontario and nearly all the services provided by primary care physicians. We employ a difference-in-differences approach that controls for selection on observables and selection on unobservables that may cause estimation bias. We implement a set of robustness checks to control for confounding from other contemporaneous interventions of the primary care reform in Ontario. The results indicate that responses were modest and that physicians responded to the financial incentives for some services but not others. The results provide a cautionary message regarding the effectiveness of employing P4P to increase the quality of health care.

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Many governments have implemented incentive programs to improve the retention of doctors in rural areas despite a lack of evidence of their effectiveness. This study examines rural general practitioners' (GPs') preferences for different types of retention incentive policies using a discrete choice experiment (DCE). In 2009, the DCE was administered to a group of 1720 rural GPs as part of the "Medicine in Australia: Balancing Employment and Life (MABEL)" study. We estimate both a mixed logit model and a generalized multinomial logit model to account for different types of unobserved differences in GPs' preferences. Our results indicate that increased level of locum relief incentive, retention payments and rural skills loading leads to an increase in the probability of attracting GPs to stay in rural practice. The locum relief incentive is ranked as the most effective, followed by the retention payments and rural skills loading payments. These findings are important in helping to tailor retention policies to those that are most effective.

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