Search

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]

Background: Intersectoral perspectives of health are present in the rhetoric of the sustainable development goals. Yet its descriptions of systematic approaches for an intersectoral monitoring vision, joining determinants of health, and barriers or facilitators to accessing healthcare services are lacking. Objective: To explore models of associations between health outcomes and health service coverage, and health determinants and health systems responsiveness, and thereby to contribute to monitoring, analysis, and assessment approaches informed by an intersectoral vision of health. Design: The study is designed as a series of ecological, cross-country regression analyses, covering between 23 and 57 countries with dependent health variables concentrated on the years 2002-2003. Countries cover a range of development contexts. Health outcome and health service coverage dependent variables were derived from World Health Organization (WHO) information sources. Predictor variables representing determinants are derived from the WHO and World Bank databases; variables used for health systems' responsiveness are derived from the WHO World Health Survey. Responsiveness is a measure of acceptability of health services to the population, complementing financial health protection. Results: Health determinants' indicators -- access to improved drinking sources, accountability, and average years of schooling -- were statistically significant in particular health outcome regressions. Statistically significant coefficients were more common for mortality rate regressions than for coverage rate regressions. Responsiveness was systematically associated with poorer health and health service coverage. With respect to levels of inequality in health, the indicator of responsiveness problems experienced by the unhealthy poor groups in the population was statistically significant for regressions on measles vaccination inequalities between rich and poor. For the broader determinants, the Gini mattered most for inequalities in child mortality; education mattered more for inequalities in births attended by skilled personnel. Conclusions: This paper adds to the literature on comparative health systems research. National and international health monitoring frameworks need to incorporate indicators on trends in and impacts of other policy sectors on health. This will empower the health sector to carry out public health practices that promote health and health equity. [ABSTRACT FROM AUTHOR]

An introduction to the journal is presented that focuses on the scope of indicators required in national monitoring systems if they are to address the determinants of health equity and how related analyses would be seen by policymakers.

Introduction: Achieving a fair and equitable distribution of health in the population while progressing toward universal health coverage (UHC) is a key focus of health policy in Vietnam. This paper describes health barriers experienced by women (and children by inference) in Vietnam, and measures how UHC, with reference to maternal health services and child mortality rates, is affected by selected social determinants of health (SDH), termed 'barriers'. Methods: Our study uses a cross-sectional design with data from the 2011 Vietnam Multiple Indicator Cluster Survey. The study sample includes 11,663 women, aged 15-49 years. Weighted frequency statistics are cross-tabulated with socioeconomic characteristics of the population to describe the extent and distribution of health barriers experienced by disadvantaged women and children in Vietnam. A subset of women who had a live birth in the preceding two years (n_1,383) was studied to assess the impact of barriers to UHC and health. Six multiple logistic regressions were run using three dependent variables in the previous two years: 1) antenatal care, 2) skilled birth attendants, and 3) child death in the previous 15 years. Independent predictor variables were: 1) low education (incomplete secondary education), 2) lack of access to one of four basic amenities. In a second set of regressions, a constructed composite barrier index replaced these variables. Odds ratios (ORs) and 95% confidence intervals (95% CI) were used to report regression results. Results: In Vietnam, about 54% of women aged 15-49 years in 2011, had low education or lacked access to one of four basic amenities. About 38% of poor rural women from ethnic minorities experienced both barriers, compared with less than 1% of rich urban women from the ethnic majority. Incomplete secondary education or lack of one of four basic amenities was a factor significantly associated with lower access to skilled birth attendants (OR_0.28, 95% CI: 0.14-0.55; OR-0.19, 95% CI: 0.05-0.80) and a higher risk of having had a child death in the previous two years (OR-1.71, 95% CI: 1.28_2.30; OR-1.59, 95% CI: 1.20-2.10). Conclusions: Our study shows the need for accelerating education and infrastructure investments for ethnic minority communities living in rural areas so as to be able to contribute to equity-oriented progress toward UHC. [ABSTRACT FROM AUTHOR]