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在瑞典基于人群的双胞胎样本中,病假诊断对未来住院或专科门诊治疗的风险的作用。

The role of sickness absence diagnosis for the risk of future inpatient- or specialized outpatient care in a Swedish population-based twin sample.

机构信息

Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden.

Finnish Institute of Occupational Health, Helsinki, Finland.

出版信息

BMC Public Health. 2021 May 20;21(1):957. doi: 10.1186/s12889-021-10942-2.

Abstract

BACKGROUND

Studies of consequences of sickness absence such as health and well-being have been rare whereas risk factors for sickness absence have been studied extensively. This study assumed the consequences of sickness absence would differ by diagnostic group or by patient care type. The aim was to investigate sickness absence due to various diagnosis groups as a predictor for subsequent inpatient- and specialized outpatient care while controlling for familial confounding.

METHODS

We utilized the register data of 69,552 twin individuals between 16 and 80 years of age (48% women). The first incident sickness absence spell, from baseline year 2005, including diagnosis of sickness absence was our primary exposure of interest and we followed them until the first incident inpatient- and specialized outpatient care episode with main diagnosis code or until 31.12.2013.

RESULTS

A total of 7464 incident sickness absence spells took place (11%), 42% had inpatient care and 83% specialized outpatient care (mean follow-up time 3.2 years, SD 3.1 years). All the main sickness absence diagnosis groups were associated with increased risk of future care in comparison to no sickness absence. Controlling for confounders attenuated the associations in magnitude but with retaining direction, and we could not confirm an effect of familial factors.

CONCLUSIONS

Sickness absence predicts both inpatient- and specialized outpatient care and the association is universal across diagnosis groups. The lower survival time and incidence rates of inpatient than specialized outpatient care point towards severity of diseases assumption. This finding was also universal across sickness absence diagnosis groups.

摘要

背景

尽管对病假的后果(如健康和幸福感)进行了研究,但很少有研究涉及病假的风险因素。本研究假设病假的后果会因诊断组或患者护理类型的不同而有所不同。本研究旨在调查由于各种诊断组而导致的病假,作为预测随后住院和专科门诊治疗的一个指标,同时控制家庭混杂因素。

方法

我们利用了年龄在 16 至 80 岁之间的 69552 对双胞胎个体的登记数据(48%为女性)。首次出现的病假(从基线年 2005 年开始),包括病假的诊断,是我们主要关注的暴露因素,我们对他们进行了随访,直到他们首次出现主要诊断代码的住院和专科门诊治疗,或直到 2013 年 12 月 31 日。

结果

共有 7464 例(11%)首次出现病假,其中 42%需要住院治疗,83%需要专科门诊治疗(平均随访时间为 3.2 年,标准差为 3.1 年)。与无病假相比,所有主要的病假诊断组都与未来接受治疗的风险增加有关。在控制混杂因素后,关联的幅度减弱,但方向保持不变,而且我们无法证实家庭因素的影响。

结论

病假预测住院和专科门诊治疗,而且这种关联在所有诊断组中都是普遍存在的。与专科门诊治疗相比,住院治疗的生存时间和发病率较低,这表明疾病的严重程度假设。这种发现在所有病假诊断组中也是普遍存在的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e58d/8139102/c6dccbe9e180/12889_2021_10942_Fig1_HTML.jpg

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