首页 | 本学科首页   官方微博 | 高级检索  
     


Predictive factors for long-term sick leave and disability pension among frequent and normal attenders in primary health care over 5 years
Authors:Bergh Håkan  Baigi Amir  Månsson Jörgen  Mattsson Bengt  Marklund Bertil
Affiliation:Research and Development Unit, Primary Health Care, Halland County Council, Falkenberg, Sweden. hakan.bergh@lthalland.se
Abstract:OBJECTIVES: To find predictive factors for long-term sick leave (SL) and disability pension (DP) among frequent attenders (FAs) and normal attenders (NAs) in primary health care. STUDY DESIGN: A cohort study with follow-up over 5 years. METHODS: Groups of FAs and NAs were followed over 5 years. Information about background, situation, sociodemography, life events, social support and sense of coherence were gathered at baseline. Multiple logistic regression analysis was used to determine the influence of each variable on long-term SL and receipt of a DP. RESULTS: During the study period, 18.9% of FAs received long-term SL/DP compared with 6% of NAs. Chronic disease was a predictive factor for long-term SL/DP among FAs [odds ratio (OR) 7.0] and NAs (OR 3.4). Among FAs, a life event was also a predictive factor (OR 2.1). Each additional life event increased the ratio of FAs with long-term SL/DP by 110%. Conflicts and losses had the greatest negative effects on FAs. CONCLUSIONS: FAs are a high-risk group for long-term SL/DP. Besides chronic disease, a life event was the only predictive factor for long-term SL/DP among FAs. These findings indicate that FAs are a vulnerable group for stressful events. Consequently, healthcare personnel should take more notice of life events among FAs.
Keywords:Sweden Frequent attenders   Primary health care   Sick leave   Disability pension   Life events   Social support   Sense of Coherence (SOC)
本文献已被 ScienceDirect PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号