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Background: While there is increasing recognition that the non-technical aspects of health care quality - particularly the inter-personal dimensions of care - are important components of health system performance, evidence from population-based studies on these outcomes in low- and middle-income countries is sparse. This study assesses these non-technical aspects of care using two measures: health system responsiveness (HSR), which quantifies the degree to which the health system meets the expectations of the population, and non-technical health care quality (QoC), for which we 'filtered out' these expectations. Pooling data from six large middle-income countries, this study therefore aimed to determine how HSR and QoC vary between countries and by individuals' sociodemographic characteristics within countries.Methods: We pooled individual-level data, collected between 2007 and 2010, from nationally representative household surveys of (primarily) adults aged 50 years and older in China, Ghana, India, Mexico, Russia, and South Africa. The outcome measure was a binary indicator for a 'bad' rating (HSR: "very bad" or "bad" on a five-point Likert scale; QoC: a worse rating of one's own visit than that of the character in an anchoring vignette) on at least one of seven dimensions for the most recent primary care visit.Results: 23 749 adults who reported to have sought primary care during the preceding 12 months were includedin the analysis. The proportion of participants who gave a bad rating for their last primary care visit on at least one of seven dimensions varied from 4.3% (95% confidence interval (CI) = 2.8-6.7) in China to 33.1% (95% CI = 23.6-44.2) in South Africa for HSR, and from 17.0% (95% CI = 11.4-24.5) in Russia to 50.8% (95% CI = 46.0-55.6) in Ghana for QoC. There was a strong negative association between increasing household wealth and both bad HSR and QoC in India and South Africa.Conclusions: Achieving universal health coverage (UHC) with good-quality health services ("effective UHC") will require efforts to improve HSR and QoC across the population in Ghana and South Africa. Additionally, a particular focus on raising HSR and QoC for the poorest population groups is needed in India and South Africa. [ABSTRACT FROM AUTHOR]

Background: The burden of non-communicable diseases has increased rapidly in low- and middle-income countries. Past studies have reported an association between socioeconomic status (SES) and cardio-metabolic risk factors, but most have focused on upper income countries. The purpose of this study is to examine the association between SES over the life-course and the burden of cardio-metabolic risk factors in middle-income countries.Methods: A total of 38 297 adults from China, Mexico, India, South Africa and Russia were included in this cross-sectional study. Life-course SES was defined based on maternal and participant education, and data on blood pressure, body mass index (BMI), self-reported diabetes and hypertension were obtained by trained interviewers. Descriptive, age standardized and multivariable adjusted analyses were conducted using survey weighted statistical procedures in SAS 9.4 (SAS Institute, Cary, NC, USA).Results: Although 14% of men and 12% of women had current hypertension based on blood pressure measurements, only 2% of men and 4% of women were aware of their hypertensive status. Men with stable high life-course SES had higher odds of being overweight/obese (odds ratio OR = 2.01, 95% confidence interval (CI) = 1.30-3.10), diabetic (OR = 4.82, 95% CI = 2.07-11.2) and hypertensive based on self-report (OR = 3.42, 95% CI = 1.85-6.32) compared to men of low life-course SES. Among women, the odds of being overweight/obese were significantly higher among women with high life-course SES (OR = 1.50, 95% CI = 1.08-2.08).Conclusions: Higher life-course SES for both men and women was associated with increased odds of overweight/ obesity, and additionally diabetes and hypertension for men in middle income countries. [ABSTRACT FROM AUTHOR]