Valuing health states of people with type 2 diabetes: Analyses of the nationwide representative linked databases

Shihchen Kuo, Chun Ting Yang, Hsuan Ying Chen, Huang Tz Ou

Research output: Contribution to journalArticlepeer-review

Abstract

Aims/Introduction: To estimate preference-based measures of health-related quality of life associated with sociodemographic and clinical characteristics in type 2 diabetes patients. Materials and Methods: Individuals with EuroQol-5 dimensions-3 levels data were identified from Taiwan’s National Health Interview Survey in 2009 and 2013. Status of diabetes, comorbidities, complications and treatments were ascertained through data linkage to Taiwan’s National Health Insurance Research Database. Multivariable ordinary least squares, Tobit and median regression analyses were used to estimate the coefficients that represented independent impacts of patients’ characteristics on health-related quality of life. Results: The mean health utility score for 2,104 participants was 0.838. Being female, aging, divorced/widowed, never worked or underweight, or having a lower monthly household income, injectable glucose-lowering therapy, comorbid connective tissue disease or depression were associated with lower health utilities. Having an amputation led to the largest reduction by 0.288 in health utilities, followed by debilitating stroke (0.266), heart failure (0.237), other coronary heart disease (0.185), kidney dialysis/transplant (0.148), coronary revascularizations (0.093), transient ischemic attack/stroke (0.078), diabetic neuropathy (0.062), polyneuropathy (0.055) and other neuropathy (0.043). Conclusions: Major vascular complications, connective tissue disease and depression are associated with considerably worse health-related quality of life. These health utility estimates can facilitate health economic evaluations to determine cost-effective strategies for diabetes management.

Original languageEnglish
JournalJournal of Diabetes Investigation
DOIs
Publication statusAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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