دورية أكاديمية
Multivariate Relationships Between Health Outcomes and Health System Performance Indicators: An Integrated Factor Analysis With Canonical Correlations.
| العنوان: | Multivariate Relationships Between Health Outcomes and Health System Performance Indicators: An Integrated Factor Analysis With Canonical Correlations. |
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| المؤلفون: | Karatas YE; Health Care Management Department, Hacettepe University, Turkey, Ankara. Electronic address: yek.karatas@hotmail.com., Cinaroglu S; Health Care Management Department, Hacettepe University, Turkey, Ankara. |
| المصدر: | Value in health regional issues [Value Health Reg Issues] 2024 Mar; Vol. 40, pp. 100-107. Date of Electronic Publication: 2024 Jan 01. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 101592642 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2212-1102 (Electronic) Linking ISSN: 22121099 NLM ISO Abbreviation: Value Health Reg Issues Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: New York : Elsevier |
| مواضيع طبية MeSH: | Canonical Correlation Analysis* , Life Expectancy*, Infant ; Infant, Newborn ; Humans ; Multivariate Analysis ; Outcome Assessment, Health Care ; Factor Analysis, Statistical |
| مستخلص: | Objectives: This study aimed to investigate the relationships between sets of variables related to health system performance indicators and health outcomes. Methods: The relationships between a set of health outcomes and a set of health system performance indicators of a developing country were examined using multivariate statistical analysis techniques. A combinative strategy of explanatory factor analysis and the canonical correlation coefficient was used to define linear structural relationships between study variables. Province-based data were gathered from2 official statistical records of the Turkish Statistical Institute for the year 2019. Life expectancy at birth, infant mortality rate, and crude death rate were accepted as health outcome indicators. Results: The explanatory factor analysis indicated 2 independent variable groups, namely (1) health-related human resources and capacity and (2) health service utilization characteristics. The results of the canonical correlation analysis illustrated good performance to define sparse linear combinations of the 2 groups of variables. There existed strong positive correlations between health outcomes and health-related human resources and capacity indicators (r Conclusions: The results of this study support the view that there is a linear and strong positive relationship between health outcomes and health-related human resources and capacity indicators. Further studies will combine big data analytics with multivariate statistical analysis techniques by studying large health system performance data sets. Competing Interests: Author Disclosures The authors reported no conflicts of interest. (Copyright © 2023 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: canonical correlation analysis; explanatory factor analysis; health outcomes; multivariate statistical analysis |
| تواريخ الأحداث: | Date Created: 20240103 Date Completed: 20240227 Latest Revision: 20240227 |
| رمز التحديث: | 20240227 |
| DOI: | 10.1016/j.vhri.2023.10.009 |
| PMID: | 38169269 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2212-1102 |
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| DOI: | 10.1016/j.vhri.2023.10.009 |