...
首页> 外文期刊>Public health >Linking primary study data with administrative and claims data in a German cohort study on work, age, health and work participation: is there a consent bias?
【24h】

Linking primary study data with administrative and claims data in a German cohort study on work, age, health and work participation: is there a consent bias?

机译:将初级研究数据与行政和索赔数据联系在德国队列的工作,年龄,健康和工作参与研究中:是否有同意偏见?

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Abstract Objectives We analysed the degree and impact of consent bias in the prospective study ‘leben in der Arbeit (lidA)’ after linking primary interview data with claims data from German statutory health insurance funds as well as with administrative data provided by the German Federal Employment Agency. Study design Prospective cohort study. Methods Within two study waves (2011, 2014) primary data were collected based on computer-assisted personal interviews. During interview informed consent to data linkage was obtained. We used binary logistic regression analyses with participants' consent for record linkage as the dependent variable calculating odds ratios (ORs) and 95% confidence intervals (95% CIs) for independent variables. Several sociodemographic, socio-economic and work-related factors were modelled as potential determinants of consent. Results A total of 4244 participants took part in both waves. After excluding invalid consent, 4178 participants were included in the analysis. About 3918 (93.8%) of these participants gave their consent to link their primary data with data from at least one source. Within regression analyses only moderate bias was found due to region of residence, apprenticeship, professional affiliations, income and number of diseases. Participants from former West Germany were less likely to have their study data linked with both data sources (OR 0.63 [95% CI 0.42–0.96]) than those from the former East Germany. Participants with no information on income were more likely to refuse consent to both data sources compared to the reference group (net income: under EUR 1000; OR 0.15 [95% CI 0.08–0.30]). Respondents with two (OR 1.37 [95% CI 1.06–1.77]) or three and more diseases (OR 1.30 [95% CI 1.02–1.66]) diagnosed by a doctor agreed more frequently to linking both data sources than participants without disease. There is just a small proportion of variance in consenting explained by the models (R 2 : 0.063–0.085). Also, only small changes of factors' prevalence were observed in consenters. Conclusions For the first time in Germany, the lidA-study links primary survey data with health claims and administrative employment data. We conclude that there is only a minor relation between the analysed factors and consent behaviour of the participants. A linked data set may be used in further analyses without substantial biases. Highlights ? Primary study data were linked with employment and health insurance claims data. ? First German study to compare determinants of consent between those domains. ? Participants' sociodemographic, work and health factors were analysed. ? Factors are weakly associated with consent behaviour for both domains. ? Results encourage considering record linkage in future studies.
机译:摘要目的,我们分析了在德国法定健康保险基金以及德国联邦就业提供的索赔数据的主要访谈数据以及德国联邦雇佣提供的行政数据之后机构。研究设计预期队列研究。两项研究中的方法(2011,2014)基于计算机辅助个人访谈收集主要数据。在采访期间,获得了数据联动的知情同意。我们使用与参与者同意的二进制逻辑回归分析作为依赖变量计算的差异变量(ORS)和95%置信区间(95%CIS)用于独立变量。一些社会经理,社会经济和工作相关因素被建模为同意的潜在决定因素。结果共有4244名参与者参加两波浪。除非无效同意后,分析中包含4178名参与者。大约3918(93.8%)这些参与者同意将其主要数据与至少一个来源的数据联系起来。由于居住地,学徒,专业附属关系,收入和疾病人数,发现了回归分析中只有中等偏见。来自前西德国的参与者不太可能与数据来源联系起来的研究数据(或0.63 [95%CI 0.42-0.96]),而不是前东德国的数据。与参考组(净收入:1000欧元低于1000欧元;或0.15 [95%CI 0.08-0.30]相比,没有收入的有关收入信息的人更有可能拒绝同意的数据来源。医生诊断的患有两种(或1.37 [95%CI 1.06-1.77])或三种和更多疾病(或1.30 [30%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%[95%])。在型号解释的同意下,只有一小部分差异(R 2:0.063-0.085)。此外,在同意时只遵守因素普遍性的小问题。结论在德国首次,LIDA研究将主要调查数据与健康索赔和行政就业数据联系起来。我们得出结论,分析的因素与参与者的同意行为之间只有一个微小的关系。链接数据集可以在进一步的分析中使用而没有实质的偏差。强调 ?主要研究数据与就业和健康保险索赔数据相关联。还第一次德国研究可以比较这些域之间同意的决定因素。还分析了参与者的社会造影,工作和健康因素。还因素与两个域的同意行为无力相关。还结果鼓励考虑在未来的研究中的记录联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号