Benchmarking quality of care using patient reported outcome measure data for patients presenting with musculoskeletal conditions in primary care GP practices

AbstractBackgroundPatient Reported Outcome Measures (PROMs) evaluate health status from a patient perspective. They can be used to support care at a patient level but also collectively to review quality of care across care providers. Vast amounts of patients with musculoskeletal (MSK) conditions present to General Practice (GP) primary care practitioners each year. Variation in patient outcomes in this setting however has not been reported.ObjectiveTo identify variation in patient outcomes measured using the musculoskeletal health questionnaire (MSK‐HQ) PROM for adults presenting to 20 GP practices in the UK with MSK conditions.MethodsA secondary analysis of the STarT MSK cluster randomised controlled trial dataset. A standardised case‐mix adjustment model, adjusting for condition complexity co‐variates, was used to calculate predicted 6‐month follow‐up MSK‐HQ scores, and used to compare adjusted and un‐adjusted health gain (n = 868). Patient MSK‐HQ change outcomes were aggregated to practice level and boxplots used to display outlier GP practices for un‐adjusted and adjusted outcomes.ResultsSubstantial variation in patient outcomes was seen across the 20 practices, even after case‐mix adjustment, with mean change in MSK‐HQ scores ranging from 6 to 12 points. Boxplots displaying un‐adjusted outcomes showed one negative GP practice outlier and two positive outliers. However, the boxplots displaying case‐mix adjusted outcomes showed no negative outliers, with two practices remaining as positive outliers, and one practice additionally becoming a positive outlier.ConclusionThis study showed a two‐fold GP practice variation in patient outcomes measured using the MSK‐HQ PROM. To our knowledge it is the first study to demonstrate that (a) a standardised case‐mix adjustment method can be used to fairly compare patient health outcome variation in GP care, and (b) that case‐mix adjustment changes benchmarking findings with regards to provider performance and outlier identification. This has important implications for identifying best practice exemplars and thereby helping to improve the quality of MSK primary care in the future.