The Swiss Atlas of Health Care: monitoring variations in care to improve health care delivery in Switzerland.

No abstract available.

MHV3SFCA: A new measure to capture the spatial accessibility of health care systems.

Good accessibility of health care services is essential to meet the needs of the population and ensure adequate health care coverage. It usually refers to two spatial dimensions: availability (competition between populations for the same medical supply) and reachability (distance between population and medical supply). Traditional indicators of health care accessibility usually fail to consider both of these components simultaneously. Floating-Catchment-Area (FCA) methods were developed to address these shortcomings. This study reviews the existing FCA methods and proposes the Modified Huff-based Variable 3 Steps Floating Catchment Area (MHV3SFCA) method as a new approach. The MHV3SFCA method integrates the strengths of several existing FCA methods into a single method, such as supply competition through the Huff model, and the integration of variable effective catchment sizes. In addition, and as a novelty, the MHV3SFCA relies on the assumption of a constant overall population demand, independent of the distances between population units and supply sites. It also accounts for absolute difference in distances without overestimating distance effects. Based on the results of a simulation study the paper discusses the strengths of the MHV3SFCA method capturing spatial differences in access to health care services.

Mental health service areas in Switzerland.

OBJECTIVES: Small area analysis is a health services research technique that facilitates geographical comparison of services supply and utilization rates between health service areas (HSAs). HSAs are functionally relevant regions around medical facilities within which most residents undergo treatment. We aimed to identify HSAs for psychiatric outpatient care (HSA-PSY) in Switzerland. METHODS: We used HSAr, a new and automated methodological approach, and comprehensive psychiatric service use data from insurances to identify HSA-PSY based on travel patterns between patients' residences and service sites. Resulting HSA-PSY were compared geographically, demographically and regarding the use of inpatient and outpatient psychiatric services. RESULTS: We identified 68 HSA-PSY, which were reviewed and validated by local mental health services experts. The population-based rate of inpatient and outpatient service utilization varied considerably between HSA-PSY. Utilization of inpatient and outpatient services tended to be positively associated across HSA-PSY. CONCLUSIONS: Wide variation of service use between HSA-PSY can hardly be fully explained by underlying differences in the prevalence or incidence of disorders. Whether other factors such as the amount of services supply did add to the high variation should be addressed in further studies, for which our functional mapping on a small-scale regional level provides a good analytical framework.

The Swiss health care atlas-relaunch in scale.

Inspired by the Dartmouth Atlas of Health Care, an early version of the Swiss Atlas of Health Care (SAHC) was released in 2017. The SAHC provides an intuitive visualization of regional variations of medical care delivery and thus allows for a broad diffusion of the contents. That is why the SAHC became widely accepted amongst health care stakeholders. In 2021, the relaunch of the SAHC was initiated to update as well as significantly expand the scope of measures depicted on the platform, also integrating indicators for outpatient care in order to better reflect the linkages between inpatient and outpatient health care provision. In the course of this relaunch, the statistical and technical aspects of the SAHC have been reviewed and updated. This paper presents the key aspects of the relaunch project and provides helpful insights for similar endeavors elsewhere.

Primary Care Physician Workforce 2020 to 2025 - a cross-sectional study for the Canton of Bern.

AIM OF THIS STUDY: The Swiss primary care sector faces a lack in its workforce and the Canton of Bern - the second largest canton (i.e. federal state) - is believed to be more affected than others. To be able to predict a shortage in the overall workforce, reliable numbers for the workforce of all general practitioners (GPs) and paediatricians (primary care physicians, PCPs) actively working in the Canton of Bern are needed. Switzerland has no registry of active PCPs; therefore, our goal was to (1) define the number and characteristics of all PCPs in the Canton of Bern, (2) to establish the workforce density for the whole canton and its administrative districts, and (3) to forecast the next five years with respect to the PCP workforce development. METHODS: In this cross-sectional study, we contacted all potential PCPs of the Canton of Bern. We included all board-certified physicians in general internal medicine, paediatrics and physicians with the title "Praktischer Arzt (practical doctor)" with a professional license from the available registers (MedReg and the FMH register). All potential PCPs received a questionnaire to assess their involvement in the primary care setting, their personal characteristics including workload (current and in 5 years to allow us to estimate the projected workforce per projected population size in 2025), type of practice, administrative district, and additional questions on their acceptance of new patients and their perception of a shortage in their region. The data from non-responders were collected via follow-up letters, emails and phone calls. The density was calculated as full-time equivalent PCPs per 1000 inhabitants in total and per district. RESULTS: From all potential PCPs (n = 2217), we identified 972  working in the Canton of Bern, 851 as GPs (88%) and 121 as paediatricians (12%). From these physicians, we had a response rate of 95%. The mean age was 53 years for GPs and 50 years for paediatricians. Thirteen percent of all PCPs were aged 65 or older. The average workload was 7.6 half-days (GPs) and 6.9 half-days (paediatricians). We found a density of 0.75 (95% confidence interval [CI] 0.69-0.81) full-time equivalents per 1000 inhabitants for the total of the Canton of Bern, and a regional variability with densities between 0.59 to 0.93. Without new PCPs, the workforce density of PCPs will drop to 0.56 (95% CI 0.49-0.62) within the next 5years. CONCLUSION: This is the first study in which 95% of active PCPs participated and it demonstrated that within the next 5 years there will be a shortage in the workforce of PCPs that can only be improved by higher numbers of new domestic PCPs - even after accounting for the current inflow of foreign PCPs.