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首页> 外文会议>German Association of Medical Informatics, Biometry and Epidemiology., Annual Meeting >Routine Data Analyses to Compare Outpatient Depression Treatment Regimens
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Routine Data Analyses to Compare Outpatient Depression Treatment Regimens

机译：常规数据分析以比较关门抑郁症治疗方案

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Background: Routine data analyses are becoming increasingly important for health policy decision making. However such databases often vary in data quality, completeness and accessibility. The aim of this study is to describe the quality of a large outpatient healthcare database, the process of data extraction and to give a brief overview of data-structure with focusing on provider-type and disease severity in an example of the treatment of depressive disorders. Method: The quality of the database is described and diagnosis rates of depression in outpatient care (ICD-10 diagnoses F32/33) in relation to the provider-type (i.e. general or somatic physician vs. physicians specialized in mental-health vs. psychotherapist) were calculated using Cramers V as a measure for effect size. Results: The database consisted of 2,383,672 cases from 2015. Most depressive patients were diagnosed and treated by general or somatic physicians. A clear relationship between the severity of depression and provider-type is shown. In contrast to psychotherapists or physicians specialized in mental-health, general or somatic physicians diagnose a higher rate of unspecified depressive episodes. ^g>depression, outpatients, secondary data analysis, provider-type, mental health services
机译：背景：常规数据分析对于健康政策决策变得越来越重要。但是，此类数据库通常因数据质量，完整性和可访问性而异。本研究的目的是描述大型门诊医疗数据库的质量，数据提取过程，并介绍数据结构，并专注于提供者类型和疾病严重程度，在治疗抑郁症的抑郁症的示例中。方法：描述了数据库的质量，以及外部护理（ICD-10诊断F32 / 33）的抑郁症的诊断率（即，一般或专门从事心理健康的医生与心理治疗师使用Cramers V计算为效果大小的措施计算。结果：该数据库由2015年的2,383,672例组成。大多数抑郁症患者被一般或体细胞医师诊断和治疗。显示了抑郁和提供者类型的严重程度之间的明确关系。与专门精神健康的心理治疗师或医生造成鲜明对比，一般或体制型医生诊断出更高的未指明抑郁发作率。 ^ G>抑郁，门诊，次要数据分析，提供商类型，心理健康服务

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