Kühn Lukas, Lindert Lara, Glawe Wiebke, Choi Kyung-Eun Anna
Zentrum für Versorgungsforschung Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Rüdersdorf bei Berlin, Germany.
Fakultät für Medizin und Zahnmedizin; Forschungszentrum Medical Imaging and Artificial Intelligence (MIAAI), Danube Private University, Krems, Austria.
Gesundheitswesen. 2024 Mar;86(3):182-191. doi: 10.1055/a-2217-7846. Epub 2024 Jan 19.
The age-standardized application rate for medical rehabilitation services of the German Pension Insurance Association has been declining since 2009. Two of the most frequent reasons for applying for rehabilitation services represent musculoskeletal disorders and mental disorders. The aim of this analysis was to identify factors influencing the utilization of rehabilitation services in the federal states of Berlin and Brandenburg.
The explorative time series analysis is based on a research dataset of the German Pension Insurance Federation. Insured persons of the German Pension Insurance Federation from the federal states of Berlin and Brandenburg with a diagnosis of musculoskeletal disorders or mental disorders were included. Descriptive differences in targeted and prognostic parameters were calculated using chi-square and t-test statistics. Predictive parameters for the utilization of medical rehabilitation services were calculated using binary, logistic regression analyses.
A total of 11,257 insured cases were examined. For the population of insured persons from Berlin, the use of medical rehabilitation services showed significant prognostic variables for gender, age at retirement, marital status, level of education, occupational requirement level, total accumulated earning points, gross pension level, status of a temporary pension, health insurance status, and diagnosis group. For Brandenburg, significant prognostic variables were found for age at retirement, marital status, nationality, education level, occupational requirement level, total accumulated earning points, status of a temporary pension, occupational sector, and diagnosis group.
In Berlin and Brandenburg mental disorders and sociodemographic parameters are associated with an increased probability of not claiming medical rehabilitation services before the onset of reduced earning capacity. It remains to be investigated which mechanisms cause people with mental disorders to make no use of medical rehabilitation services. Future analyses should examine isolated interaction mechanisms for the utilization of medical rehabilitation services, especially in the case of existing F-diagnoses. In addition, explanations for different influencing variables between states remain to be explored.
自2009年以来,德国养老保险协会的医学康复服务年龄标准化申请率一直在下降。申请康复服务最常见的两个原因是肌肉骨骼疾病和精神疾病。本分析的目的是确定影响柏林和勃兰登堡联邦州康复服务利用情况的因素。
探索性时间序列分析基于德国养老保险联合会的一个研究数据集。纳入了来自柏林和勃兰登堡联邦州、被诊断患有肌肉骨骼疾病或精神疾病的德国养老保险联合会参保人员。使用卡方检验和t检验统计量计算目标参数和预后参数的描述性差异。使用二元逻辑回归分析计算医学康复服务利用的预测参数。
共检查了11257例参保病例。对于来自柏林的参保人群,医学康复服务的使用在性别、退休年龄、婚姻状况、教育水平、职业要求水平、累计总积分、养老金总额水平、临时养老金状态、健康保险状态和诊断组等方面显示出显著的预后变量。对于勃兰登堡,在退休年龄、婚姻状况、国籍、教育水平、职业要求水平、累计总积分、临时养老金状态、职业部门和诊断组等方面发现了显著的预后变量。
在柏林和勃兰登堡,精神疾病和社会人口统计学参数与在收入能力下降之前未申请医学康复服务的可能性增加有关。仍有待研究哪些机制导致患有精神疾病的人不使用医学康复服务。未来的分析应研究医学康复服务利用的孤立相互作用机制,特别是在存在F诊断的情况下。此外,各州之间不同影响变量的解释仍有待探索。