Julia Walter1,2, Amanda Tufman3,4, Reiner Leidl5,3,6, Rolf Holle5, Larissa Schwarzkopf5,3. 1. German Research Center for Environmental Health, Helmholtz Zentrum München, Institute for Health Economics and Health Care Management (IGM), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. julia.walter@helmholtz-muenchen.de. 2. German Center for Lung Research (DZL), Aulweg 130, 35392, Gießen, Germany. julia.walter@helmholtz-muenchen.de. 3. German Center for Lung Research (DZL), Aulweg 130, 35392, Gießen, Germany. 4. Medical Clinic - Pneumology, Hospital of the Ludwig-Maximilians-University (LMU) Munich, Ziemssenstr. 1, 80336, Munich, Germany. 5. German Research Center for Environmental Health, Helmholtz Zentrum München, Institute for Health Economics and Health Care Management (IGM), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. 6. Munich Center of Health Sciences, Ludwig-Maximilians-University, Ludwigstr. 28, 80539, Munich, RG, Germany.
Abstract
PURPOSE: To assess rural-urban differences in healthcare utilization and supportive care at the end-of-life in German lung cancer patients. METHODS: We identified 12,929 patients with incident lung cancer in 2009 from claims data and categorized them to four district types (major city, urban, rural, remote rural). We compared site of death, unplanned hospitalizations, hospital days, outpatient doctor, general practitioner (GP) and home visits, structured palliative care, therapy with antidepressants, pain relief medication and chemotherapy, and therapeutic puncturing in the last 30 and 14 days of life using mixed models with logistic link function for binary outcomes and log link function for count data. We adjusted all models by age, sex, comorbidities, metastases location and presence of multiple tumors at diagnosis, survival in months, and type of tumor-directed treatment. RESULTS: We found significant differences in two of the outcomes measured. The likelihood of > 14 hospital days in the last 30 days was significantly higher in rural districts than in remote rural districts (1.27 [1.05, 1.52], p = 0.0003). The number of visits to the GP in the last 30 days of life was significantly lower in urban districts than in remote rural districts (β = - 0.19 [- 0.32, - 0.06], p = <0.0001). No other endpoints were associated with regional differences. Triggering factors for high and low utilization of healthcare were mostly age, comorbidities, and prior anticancer treatment. CONCLUSION: Healthcare utilization and supportive care did not differ significantly between different district types. Results reject the hypothesis of regional inequity in end-of-life care of lung cancer patients in Germany.
PURPOSE: To assess rural-urban differences in healthcare utilization and supportive care at the end-of-life in German lung cancerpatients. METHODS: We identified 12,929 patients with incident lung cancer in 2009 from claims data and categorized them to four district types (major city, urban, rural, remote rural). We compared site of death, unplanned hospitalizations, hospital days, outpatient doctor, general practitioner (GP) and home visits, structured palliative care, therapy with antidepressants, pain relief medication and chemotherapy, and therapeutic puncturing in the last 30 and 14 days of life using mixed models with logistic link function for binary outcomes and log link function for count data. We adjusted all models by age, sex, comorbidities, metastases location and presence of multiple tumors at diagnosis, survival in months, and type of tumor-directed treatment. RESULTS: We found significant differences in two of the outcomes measured. The likelihood of > 14 hospital days in the last 30 days was significantly higher in rural districts than in remote rural districts (1.27 [1.05, 1.52], p = 0.0003). The number of visits to the GP in the last 30 days of life was significantly lower in urban districts than in remote rural districts (β = - 0.19 [- 0.32, - 0.06], p = <0.0001). No other endpoints were associated with regional differences. Triggering factors for high and low utilization of healthcare were mostly age, comorbidities, and prior anticancer treatment. CONCLUSION: Healthcare utilization and supportive care did not differ significantly between different district types. Results reject the hypothesis of regional inequity in end-of-life care of lung cancerpatients in Germany.
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