Exploring paediatricians’ experiences with performance improvement modules and quality improvement

Objective The American Board of Pediatrics’ (ABP) maintenance of certification (MOC) programme seeks to continue educating paediatricians throughout their careers by encouraging lifelong learning and continued improvement. The programme includes four parts, each centring on a different aspect of medical practice. Part 4 MOC centres on quality improvement (QI). Surveys by the ABP suggest that paediatricians are dissatisfied with aspects of part 4, but their reasons are unclear. This study sought to explore factors contributing to dissatisfaction with part 4 by focusing on performance improvement modules (PIMs), a popular means of achieving part 4 credit. Methods The study used cross-sectional purposive sampling drawing from US physicians working in a range of practice settings: private outpatient, hospital, academic and low-income clinics. The sampling frame was divided by practice characteristics and satisfaction level, derived from a five-point Likert item asking about physician satisfaction regarding a recent PIM. In-depth interviews were conducted with 21 physicians, and the interview data were coded, categorised into themes and analysed using a framework analysis approach. Results Paediatricians expressed nuanced views of PIMs and remain globally dissatisfied with part 4, although reasons for dissatisfaction varied. Concerns with PIMs included: (1) excessive time and effort; (2) limited improvement and (3) lack of clinically relevant topics. While most agreed that QI is important, participants felt persistently dissatisfied with the mechanics of doing PIMs, especially when QI tasks fell outside of their typical work regimen. Conclusions Paediatricians agreed that part 4, PIMs, and QI efforts in general still lack clinical relevance and need to be more easily incorporated into practice workflow. Clinicians specifically felt that PIMs must be directly integrated with physicians’ practice settings in terms of topic, data quality and metrics, and must address practice differences in time and monetary resources for completing large or complex projects.