Accepted for/Published in: Journal of Medical Internet Research

Date Submitted:

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Date Accepted:

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  • Chenyao L
  • Quality of Life and Influencing Factors in Patients with 10 Kinds of Chronic Diseases based on the scale QLICD-GM: A Multicenter Large Sample Cross-sectional Study
  • Journal of Medical Internet Research
  • DOI: 10.2196/11848
  • PMID: 30303485
  • PMCID: 6352016

Quality of Life and Influencing Factors in Patients with 10 Kinds of Chronic Diseases based on the scale QLICD-GM: A Multicenter Large Sample Cross-sectional Study

Abstract

background

Research on QOL of patients with chronic diseases has attracted extensive attention and the QLICD-GM (general module of Quality of Life Instruments for Chronic Diseases) has been used worldwide.

objective

To compare QOL in patients with 10 kinds of different chronic diseases, and to explore its socio-demographic influencing factors, so as to provide reference for improving QOL of chronic disease patients.

methods

1953 patients with 10 kinds of chronic diseases were investigated by a general situation questionnaire, and the QLICD-GM including three domains of physical function (PHD), psychological function (PSD) and social function (SOD). The influencing factors of PHD, PSD, SOD and the overall scale were analyzed by univariate analysis such as t-test or one-way analysis of variance, and multiple linear regressions.

results

The total mean score of QLICD-GM in all chronic diseases was 65.24±13.50;Among three domains, the highest mean score was found in SOD 72.54±15.55, the second highest mean score in PHD was 62.45±15.37, and the lowest mean score in PSD was 62.23±17.79. Marriage, occupation, education, family economic, medical format were main influencing factors of QOL for patients with chronic diseases.

conclusions

QOL of patients with chronic diseases is low. Effective corresponding strategies and targeted management or intervention measures should be taken to improve QOL, and it is important to give personalized treatment and nursing to patients based on various factors.

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