RESUMEN
Aim of the study: Complementary and integrative medicine (CIM) has been increasingly recognized as offering promising treatment adjunctions in various clinical settings, even amongst patients with serious, chronic, or recurrent illness. Today, only few tertiary care facilities in Switzerland offer dedicated CIM services for inpatients. The aim of the present study was to evaluate whether CIM services for complex medical conditions are adequately valued by the national inpatient SwissDRG reimbursement system. Methods: A simulation was performed by adding a specific code of the Swiss classification of interventions (CHOP) to the list of codes of each patient who received CIM therapies at the Lausanne University Hospital (CHUV) in 2021. This code is to be used when CIM services are provided. Hitherto, it was not entered due to a lack of specific documents justifying the resources used. The analysis focused on the impact of adding this CIM CHOP code on the Swiss Diagnosis Related Group (DRG) reimbursement. Results: In total, 275 patients received a CIM therapy in 2021. The addition of the CIM CHOP code 99.BC.12 (10-25 CIM sessions per stay) resulted in a simulated loss of income of CHF 766 630 for the hospital, while the net real result is already negative by more than CHF 6 million. The DRGs positively impacted by the addition of CIM CHOP code 99.BC.12 had a mean (SD) cost weight (CW) of 1.014 (0.620), while the DRGs negatively impacted had a mean (SD) CW of 3.97 (2.764) points. Conclusion: It is necessary to quickly react and improve the incentives contained in the grouping algorithm of the prospective payment system, whose effects can threaten the provision of adequate medical care to the patients despite suitable indications and potential for cost-savings.
RESUMEN
INTRODUCTION: In Hungary, the number and structure of the maxillofacial surgery departments underwent significant changes in recent decades. AIM: The aim of our study was to present the actual performance indicators of maxillofacial inpatient departments and based on the available data to compare the departments. METHOD: The study was based on the number of beds founded by the National Health Insurance Fund. Performance data were supplied by the National Health Insurance Fund Administration. The assessment included the following indicators: number of beds institutional breakdown by type, number of reimbursed cases, the weighted case number, hospital stay, bed occupancy rates and average length of stay. RESULTS: In the examined period 40% of active beds (65) were in university hospitals. The distribution of reimbursed cases was similar. The university hospitals showed higher weighted case number and case-mix index. The oral surgery departments' bed occupancy rate (45.75%) was below the national average. CONCLUSION: The indicators show significant differences among different departments in the examined period. Orv. Hetil., 2017, 158(12), 447-453.