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Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis

OBJECTIVE: This study aimed to analyze the healthcare resource use (HCRU) and associated costs of multiple myeloma (MM) using German claims data. METHODS: Anonymized claims data from one of the largest sickness funds in Germany were analyzed. Costs and HCRU were calculated from the perspective of th...

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Autores principales: Kocaata, Zeki, Wilke, Thomas, Fischer, Franz, Welte, Robert, Einsele, Hermann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283612/
https://www.ncbi.nlm.nih.gov/pubmed/35750956
http://dx.doi.org/10.1007/s41669-022-00344-4
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author Kocaata, Zeki
Wilke, Thomas
Fischer, Franz
Welte, Robert
Einsele, Hermann
author_facet Kocaata, Zeki
Wilke, Thomas
Fischer, Franz
Welte, Robert
Einsele, Hermann
author_sort Kocaata, Zeki
collection PubMed
description OBJECTIVE: This study aimed to analyze the healthcare resource use (HCRU) and associated costs of multiple myeloma (MM) using German claims data. METHODS: Anonymized claims data from one of the largest sickness funds in Germany were analyzed. Costs and HCRU were calculated from the perspective of the statutory health insurance. To analyze MM-associated incremental costs in a most recent calendar period for an overall MM population (31 March 2018–31 March 2019), a prevalent cohort of MM patients (continuously insured during 01 January 2010 until 31 March 2019 or death; two or more outpatient and/or one inpatient MM diagnoses [ICD-10: C90.0-] and alive on 31 March 2018) was compared with a control group (not diagnosed with MM) employing propensity-score matching. Additionally, to describe MM-associated HCRU and costs for treated patients per line of treatment (lot), a cohort of newly treated patients was considered (≥ 12 months’ pre-index period without MM treatment). Therapy lines were determined based on observed days of medication supply, treatment switches, and treatment discontinuations. RESULTS: Overall, 2523 prevalent MM patients (52.0% female, mean age: 71.3 years) and 1673 newly treated MM patients (50.2% female, mean age: 73.0 years) met the selection criteria and were included in the analyses. After matching, a non-MM counterpart could be identified for 2474 prevalent out of 2523 MM patients. MM-associated incremental HCRU was characterized by an increased number of hospitalizations and a higher number of outpatient specialist visits (per patient-year [ppy] 0.48 additional hospitalizations and 3.80 additional specialist visits; p < 0.001), being also drivers of the associated total incremental add-on costs (15,381.09 € ppy, p < 0.001). Among newly treated patients, total direct costs ppy increased as patients received subsequent treatments (1st lot: 67,681,55 €; 4th lot+: 114,934.01 €), driven by outpatient MM prescriptions (1st lot: 28,692.32 €; 4th lot+: 62,980.72 €). CONCLUSION: The economic burden of MM is driven by outpatient prescriptions, inpatient hospitalizations, and outpatient specialist visits. Treatment and overall costs increase substantially when patients move to later lines of treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41669-022-00344-4.
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spelling pubmed-92836122022-07-16 Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis Kocaata, Zeki Wilke, Thomas Fischer, Franz Welte, Robert Einsele, Hermann Pharmacoecon Open Original Research Article OBJECTIVE: This study aimed to analyze the healthcare resource use (HCRU) and associated costs of multiple myeloma (MM) using German claims data. METHODS: Anonymized claims data from one of the largest sickness funds in Germany were analyzed. Costs and HCRU were calculated from the perspective of the statutory health insurance. To analyze MM-associated incremental costs in a most recent calendar period for an overall MM population (31 March 2018–31 March 2019), a prevalent cohort of MM patients (continuously insured during 01 January 2010 until 31 March 2019 or death; two or more outpatient and/or one inpatient MM diagnoses [ICD-10: C90.0-] and alive on 31 March 2018) was compared with a control group (not diagnosed with MM) employing propensity-score matching. Additionally, to describe MM-associated HCRU and costs for treated patients per line of treatment (lot), a cohort of newly treated patients was considered (≥ 12 months’ pre-index period without MM treatment). Therapy lines were determined based on observed days of medication supply, treatment switches, and treatment discontinuations. RESULTS: Overall, 2523 prevalent MM patients (52.0% female, mean age: 71.3 years) and 1673 newly treated MM patients (50.2% female, mean age: 73.0 years) met the selection criteria and were included in the analyses. After matching, a non-MM counterpart could be identified for 2474 prevalent out of 2523 MM patients. MM-associated incremental HCRU was characterized by an increased number of hospitalizations and a higher number of outpatient specialist visits (per patient-year [ppy] 0.48 additional hospitalizations and 3.80 additional specialist visits; p < 0.001), being also drivers of the associated total incremental add-on costs (15,381.09 € ppy, p < 0.001). Among newly treated patients, total direct costs ppy increased as patients received subsequent treatments (1st lot: 67,681,55 €; 4th lot+: 114,934.01 €), driven by outpatient MM prescriptions (1st lot: 28,692.32 €; 4th lot+: 62,980.72 €). CONCLUSION: The economic burden of MM is driven by outpatient prescriptions, inpatient hospitalizations, and outpatient specialist visits. Treatment and overall costs increase substantially when patients move to later lines of treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41669-022-00344-4. Springer International Publishing 2022-06-24 /pmc/articles/PMC9283612/ /pubmed/35750956 http://dx.doi.org/10.1007/s41669-022-00344-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Kocaata, Zeki
Wilke, Thomas
Fischer, Franz
Welte, Robert
Einsele, Hermann
Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title_full Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title_fullStr Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title_full_unstemmed Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title_short Healthcare Resource Utilization and Cost of Patients with Multiple Myeloma in Germany: A Retrospective Claims Data Analysis
title_sort healthcare resource utilization and cost of patients with multiple myeloma in germany: a retrospective claims data analysis
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283612/
https://www.ncbi.nlm.nih.gov/pubmed/35750956
http://dx.doi.org/10.1007/s41669-022-00344-4
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