Factors Affecting Health-Related Quality of Life in Multimorbidity.
Eunmi LeeSunkyung ChaGeun Myun KimPublished in: Healthcare (Basel, Switzerland) (2021)
We investigated the effect of predisposing, enabling, need factors, and health behaviors on health-related quality of life (HRQoL) of patients with multimorbidity according to Andersen's model. This study is a secondary analysis of population-based cross-sectional surveys. Data from 328 patients with multimorbidity (≥3 co-occurring chronic diseases) from the 6th/7th Korea National Health and Nutrition Examination Surveys were analyzed using logistic regression. Patients ≥65 years, without private insurance, with poor subjective health, unmet medical needs, and/or limited activity were more likely to experience mobility problems. Self-care problems were more likely among those without private insurance and/or with limited activity. Patients lacking living security, with poor subjective health, limited activity, and/or who smoked were more likely to experience problems performing usual activities. Pain/discomfort was more likely among females, Medicaid beneficiaries, and patients with limited activity and/or with poor subjective health. Patients with poor subjective health, limited activity, and/or unmet medical needs were more likely to experience anxiety/depression. The investigation of HRQoL in multimorbidity should consider predisposing, enabling, need factors, and health behaviors. Interventions addressing movement restrictions and personalized care based on HRQoL domains should be prioritized.
Keyphrases
- healthcare
- mental health
- public health
- cross sectional
- end stage renal disease
- sleep quality
- health information
- chronic kidney disease
- health insurance
- ejection fraction
- newly diagnosed
- health promotion
- prognostic factors
- chronic pain
- social media
- pain management
- spinal cord injury
- palliative care
- machine learning
- spinal cord
- affordable care act
- mass spectrometry
- patient reported outcomes
- human health
- big data
- patient reported
- climate change
- global health