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Health systems responsiveness among older adults: Findings from the World Health Organization Study on global AGEing and adult health.
- Source :
-
Global Public Health . Jul2020, Vol. 15 Issue 7, p999-1015. 17p. - Publication Year :
- 2020
-
Abstract
- Health system responsiveness is an indicator that can be used for evaluating how well healthcare systems respond to people's needs in non-clinical areas such as communication, autonomy and confidentiality. This study analyses health system responsiveness from the perspective of community-dwelling adults aged 50 and over in China, Ghana, India, the Russian Federation and South Africa using cross-sectional data from the World Health Organization Study on global AGEing and adult health. The aim is to assess and compare how individual, health condition and healthcare factors impact differently on outpatient and inpatient responsiveness. Poor responsiveness is measured according to participants' responses to questions on a five-point Likert scale. Five univariate and multiple logistic regression models test associations between individual, health condition and healthcare factors and poor responsiveness. The final model adjusts for country. Key results are that travel time is a major contributor to poor responsiveness across all countries. Similarly there are wealth inequalities in responsiveness. However no clear difference in responsiveness was observed in presentations for chronic versus other types of conditions. This study provides an interesting baseline on older patients' perceived treatment within outpatient and inpatient facilities in five diverse low- and middle-income countries. [ABSTRACT FROM AUTHOR]
- Subjects :
- *AGING
*COMMUNITY health services
*HEALTH attitudes
*HEALTH risk assessment
*HEALTH services accessibility
*HEALTH status indicators
*INTERVIEWING
*MEDICAL care
*MEDICAL needs assessment
*MEDICAL quality control
*MEDICAL care use
*QUESTIONNAIRES
*REGRESSION analysis
*RESEARCH funding
*STATISTICAL sampling
*SCALE analysis (Psychology)
*STATISTICS
*MATHEMATICAL variables
*WORLD health
*SAMPLE size (Statistics)
*SOCIAL responsibility
*STATISTICAL significance
*CROSS-sectional method
*DATA analysis software
*HEALTH & social status
*DESCRIPTIVE statistics
*MIDDLE-income countries
*LOW-income countries
*OLD age
DEVELOPING countries
Subjects
Details
- Language :
- English
- ISSN :
- 17441692
- Volume :
- 15
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Global Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 144526992
- Full Text :
- https://doi.org/10.1080/17441692.2020.1742365