Background The variation in the impact of the 2008 reimbursement change for Norwegian radiology providers, depending on the travel times to private and public providers in different municipalities, was examined. The activity-based fund allocation for radiology providers was reduced from approximately 50% to 40%, which was compensated by an increased basic grant. The hypothesis was that the Norwegian population would be affected by the reimbursement change unevenly depending on their distances to different types of the providers. Methods The study of the effect of the reimbursement change and travel time difference between private and public radiology providers in Norway (Time_difference) on the number of the services was performed using fixed-effects regressions applied to panel data at the municipality level with monthly observations for the period 2007–2010. Results After the reimbursement change, the number of private services decreased more than the number of public services. Private services declined after 2008, but the absolute value of the effect was smaller as the Time_difference became greater. The number of public services increased as the Time_difference grew. The total number of services decreased until the Time_difference was equal to 40 min and increased for time differences greater than 40 min. Conclusions The messages for policymakers are as follows. Populations that only had private providers nearby were more affected by the reimbursement change in terms of a reduced number of services. The reimbursement change contributed to the reallocation of patients from private to public providers. The difference between the centralities of municipalities in their consumption patterns was reduced and the difference between different Regional Health Authorities was increased due to the reimbursement change.

We study implications of a change in the payment scheme for radiology providers in Norway that was implemented in 2008. The change implies reduced fee-for-service and increased fixed budget for a contracted volume of services. A consequence of the change is that private providers have less incentive to conduct examinations beyond the contracted volume. Different from the situation observed before the change in 2008, the volume is no longer determined by the demand side, and a rationing of the supply occurs. We employ data on radiological examinations initiated by GPs' referrals. We apply monthly data at the physician-practice level for 2007-2010. The data set is unique because it includes information about all GPs in the Norwegian patient-list system. The results indicate that private providers conducted fewer examinations in 2008-2010 compared with previous periods and that public hospitals did either the same volume or more. We find that GPs who operate in a more competitive environment experienced a greater reduction in magnetic resonance imaging, both performed by private providers and in total for their patients. We argue that this result supports a hypothesis that patients with lower expected benefits are rationed. Hence, rationing from the supply side might supplement GP gatekeeping.

BackgroundNorwegian general practitioners (GPs) consult on a variety of conditions with a mix of patient types. Patients with chronic diseases benefit from appropriate continuity of care and generally visit their GPs more often than the average patient. Our aim was to study disenrollment patterns among patients with chronic diseases in Norway, because such patterns could indicate otherwise unobserved GP quality. For instance, higher quality GPs could have both a greater share of patients with chronic diseases and lower disenrollment rates.MethodsData on 384,947 chronic patients and 3,974 GPs for the years 2009–2011 were obtained from national registers, including patient and GP characteristics, disenrollment data, and patient list composition. The birth cohorts from 1940 and 1970 (146,906 patients) were included for comparison. Patient and GP characteristics, comorbidity, and patient list composition were analyzed using descriptive statistics. Patients’ voluntary disenrollment was analyzed using logistic regression models.ResultsThe GPs’ proportion of patients with a given chronic disease varied more than expected when the allocation was purely random. The proportions of patients with different chronic diseases were positively correlated, partly due to comorbidity. Patients tended to have lower disenrollment rates from GPs who had higher shares of patients with the same chronic disease. Disenrollment rates were generally lower from GPs with higher shares of patients with arthritis or depression, and higher from GPs who had higher shares of patients with diabetes type 1 and schizophrenia. This was the same in the comparison group.ConclusionPatients with a chronic disease appeared to prefer GPs who have higher shares of patients with the same disease. High shares of patients with some diseases were also negatively associated with disenrollment for all patient groups, while other diseases were positively associated. These findings may reflect the GPs’ general quality, but could alternatively result from the GPs’ specialization in particular diseases. The supportive findings for the comparison group make it more plausible that high shares of chronic patients could indicate GP quality.