Over the past decade, China has implemented reforms designed to expand access to health care in rural areas. Little objective evidence exists, however, on the quality of that care. This study reports results from a standardized patient study designed to assess the quality of care delivered by village clinicians in rural China. To measure quality, we recruited individuals from the local community to serve as undercover patients and trained them to present consistent symptoms of two common illnesses (dysentery and angina). Based on 82 covert interactions between the standardized patients and local clinicians, we find that the quality of care is low as measured by adherence to clinical checklists and the rates of correct diagnoses and treatments. Further analysis suggests that quality is most strongly correlated with provider qualifications. Our results highlight the need for policy action to address the low quality of care delivered by grassroots providers.
Students in rural China are dropping out of secondary school at troubling rates. While there is considerable quantitative research on this issue, no systematic effort has been made to assess the deeper reasons behind student decision making through a mixed-methods approach. This article seeks to explore the prevalence, correlates and potential reasons for rural dropout throughout the secondary education process. It brings together results from eight large-scale survey studies covering 24,931 rural secondary students across four provinces, as well as analysis of extensive interviews with 52 students from these same study sites. The results show that the cumulative dropout rate across all windows of secondary education may be as high as 63 per cent. Dropping out is significantly correlated with low academic performance, high opportunity cost, low socio-economic status and poor mental health. A model is developed to suggest that rural dropout is primarily driven by two mechanisms: rational cost-benefit analysis or impulsive, stress-induced decision making.
Various types of near work have been suggested to promote the incidence and progression of myopia, while outdoor activity appears to prevent or retard myopia. However, there is a lack of consensus on how to interpret these results and translate them into effective intervention strategies. This study examined the association between visual acuity and time allocated to various activities among school-going children. Population-based survey of 19,934 students in grade 4 and 5 from 252 randomly selected rural primary schools in Northwest China in September 2012. This survey measured visual acuity and collected self-reported data on time spent outdoors and time spent doing various types of near activities. Prolonged (>60 minutes/day) computer usage (-0.025 LogMAR units, P = .011) and smartphone usage (-0.041 LogMAR units, P = .001) were significantly associated with greater refractive error, while television viewing and after-school study were not. For time spent outdoors, only time around midday was significantly associated with better uncorrected visual acuity. Compared to children who reported no midday time outdoors, those who spent time outdoors at midday for 31–60 minutes or more than 60 minutes had better uncorrected visual acuity by 0.016 LogMAR units (P = .014) and 0.016 units (P = .042), respectively. Use of smart phones and computers were associated with declines in children’s vision, while television viewing was not. Statistically significant associations between outdoor time at midday and reduced myopia may support the hypothesis that light intensity plays a role in the protective effects of outdoor time.
Choosing a valid and feasible method to measure child developmental outcomes is key to addressing developmental delays, which have been shown to be associated with high levels of unemployment, participation in crime, and teen pregnancies. However, measuring early childhood development (ECD) with multi-dimensional diagnostic tests such as the Bayley Scales of Infant and Toddler Development III (Bayley-III) can be time-consuming and expensive; therefore, parental screening tools such as the Ages and Stages Questionnaire (ASQ-3) are frequently an alternative measure of early childhood development in large-scale research. The ASQ is also becoming more frequently used as the first step to identify children at risk for developmental delays before conducting a diagnostic test to confirm. However, the effectiveness of the ASQ-3 is uncertain. In this study, we evaluate the accuracy of the ASQ-3 as a screening measure for children at risk of developmental delay in rural China by age group. To do so, we administered the Bayley-III, widely considered to be the “gold standard” of ECD diagnostic tests, to a sample of 1,831 five to twenty-four month-old children and also administered the ASQ-3 to their caregivers. We then compared the outcomes of the ASQ-3 test to those of the Bayley-III. We find that the ASQ-3 was significantly though weakly correlated with the Bayley-III and that the strength of this correlation increased with child age and was stronger when the mother was the primary caregiver (as compared to the grandmother). We also find that the sensitivity and specificity of ASQ-3 ranged widely. The overall findings suggest that the ASQ-3 may not be a very accurate screening tool for identifying developmentally delayed children, especially for children under 13 months of age or children whose primary caregiver is not the mother.