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Evaluation of risk adjustment performance of diagnosis-based and medication-based comorbidity indices in patients with chronic obstructive pulmonary disease.
Guo Ie, Huei; Tang, Chao-Hsiun; Sheu, Mei-Ling; Liu, Hung-Yi; Lu, Ning; Tsai, Tuan-Ya; Chen, Bi-Li; Huang, Kuo-Cherh.
Afiliación
  • Guo Ie H; Teaching Resource Center, Office of Academic Affairs, Taipei Medical University, Taipei City, Taiwan.
  • Tang CH; School of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.
  • Sheu ML; School of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.
  • Liu HY; Health and Clinical Research Data Center, Taipei Medical University, Taipei City, Taiwan.
  • Lu N; Department of Health Administration, College of Health and Human Services, Governors State University, University Park, Illinois, United States of America.
  • Tsai TY; Department of Pharmacy, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
  • Chen BL; Department of Pharmacy, Taipei Medical University Hospital, Taipei City, Taiwan.
  • Huang KC; School of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.
PLoS One ; 17(7): e0270468, 2022.
Article en En | MEDLINE | ID: mdl-35802678
ABSTRACT

OBJECTIVES:

This study assessed risk adjustment performance of six comorbidity indices in two categories of comorbidity

measures:

diagnosis-based comorbidity indices and medication-based ones in patients with chronic obstructive pulmonary disease (COPD).

METHODS:

This was a population-based retrospective cohort study. Data used in this study were sourced from the Taiwan National Health Insurance Research Database. The study population comprised all patients who were hospitalized due to COPD for the first time in the target year of 2012. Each qualified patient was individually followed for one year starting from the index date to assess two outcomes of interest, medical expenditures within one year after discharge and in-hospital mortality of patients. To assess how well the added comorbidity measures would improve the fitted model, we calculated the log-likelihood ratio statistic G2. Subsequently, we compared risk adjustment performance of the comorbidity indices by using the Harrell c-statistic measure derived from multiple logistic regression models.

RESULTS:

Analytical results demonstrated that that comorbidity measures were significant predictors of medical expenditures and mortality of COPD patients. Specifically, in the category of diagnosis-based comorbidity indices the Elixhauser index was superior to other indices, while the RxRisk-V index was a stronger predictor in the framework of medication-based codes, for gauging both medical expenditures and in-hospital mortality by utilizing information from the index hospitalization only as well as the index and prior hospitalizations.

CONCLUSIONS:

In conclusion, this work has ascertained that comorbidity indices are significant predictors of medical expenditures and mortality of COPD patients. Based on the study findings, we propose that when designing the payment schemes for patients with chronic diseases, the health authority should make adjustments in accordance with the burden of health care caused by comorbid conditions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ajuste de Riesgo / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ajuste de Riesgo / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán
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