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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
DEVELOPING countries
OLD age
Subjects
Details
- Language :
- English
- ISSN :
- 17441692
- Volume :
- 15
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Global Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 144526992
- Full Text :
- https://doi.org/10.1080/17441692.2020.1742365