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Risk factors associated with newly psychiatric disorder in spinal cord injury: A retrospective cohort study

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Listed:
  • Ching‐Hui Chuang
  • Chung‐Hey Chen
  • Chyi‐Huey Bai
  • Po‐Cheng Chen
  • Shih‐Chung Wu
  • Chun‐Hao Liu

Abstract

Aim and objectives To predict the risk factors related to newly diagnosed psychiatric disorders resulting from spinal cord injuries (SCIs). Background SCIs are a common result of devastating accidents; they can have an essential negative impact on the psychological health of those so afflicted. Psychiatric disorders commonly occur worldwide and are often associated with pain and disability; however, few studies have investigated the risk factors of psychiatric disorders among persons with SCIs. Design A retrospective cohort study design with data obtained from the Taiwan Health Insurance Research Database (THIRD). THIRD involves the claims data on recipients recorded in the Taiwan National Health Insurance (TNHI), which was set up in 1995 and covers about 99% of the 23 million persons in Taiwan. Methods We used THIRD to predict the risk factors related to newly diagnosed psychiatric disorders among victims of spinal cord injury. Results The majority of persons with SCI were men (51.2%), and their average age was 52.8 years. All 5,828 newly diagnosed psychiatric disorders were included from 1997–2009 in 64,907 SCI in the THIRD data set. These results demonstrated notable differences in hazard risk (HR); the injured persons were inspected for the level of SCI, age, hypertension and chronic obstructive pulmonary disease (HR: 1.637, 95% CI: 1.452–1.844, p

Suggested Citation

  • Ching‐Hui Chuang & Chung‐Hey Chen & Chyi‐Huey Bai & Po‐Cheng Chen & Shih‐Chung Wu & Chun‐Hao Liu, 2018. "Risk factors associated with newly psychiatric disorder in spinal cord injury: A retrospective cohort study," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(5-6), pages 1038-1047, March.
    • Handle: RePEc:wly:jocnur:v:27:y:2018:i:5-6:p:e1038-e1047
    DOI: 10.1111/jocn.14139
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    1. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
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