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Proper management of non-communicable diseases (NCDs) is a severe challenge to China's rural health system. This study investigates what influences the poor medical treatment of NCDs (diabetes and angina) by evaluating the “know-do gap” between provider knowledge and practice. To determine whether low levels of provider knowledge low quality of patient care is the primary constraint on the quality of NCDs diagnosis and treatment in rural China. Providers from Village Clinics (VC) and Township Health Centers (THC), and Standardized Patients (SP) were selected by a multi-stage random sampling method. Clinical vignettes were administered to 306 providers from 103 VCs and 50 THCs in rural Sichuan Province. SPs presented diabetes symptoms completed 97 interactions with providers in 46 VCs and 51 THCs; SPs presented angina symptoms completed 100 interactions with providers in 50 VCs and 50 THCs. Process quality, diagnosis quality, and treatment quality were assessed against national standards for diabetes and angina. Two-tailed T-tests and tests of proportions for continuous outcomes and tests of proportions for binary dependent variables were used to compare vignette and SP results. Differences between vignette and SP data calculated the know-do gap. Regression analyses were used to examine the providers/facility characteristics and knowledge/practice associations. THC providers demonstrated significantly more knowledge in vignettes and better practices in SP visits than VC providers. However, levels of knowledge were low overall: 48.2% of THC providers and 28.2% of VC providers properly diagnosed type 2 diabetes, while 23.8% of THC providers and 14.7% of VC providers properly diagnosed angina. With SPs, 2.1% of THC providers and 6.8% of VC providers correctly diagnosed type 2 diabetes; 25.5% of THC providers and 12.8% of VC providers correctly diagnosed angina. There were significant know-do gaps in diagnosis process quality, diagnosis quality, and treatment quality for diabetes (p < 0.01), and in diagnosis process quality (p < 0.05) and treatment quality for angina (p < 0.01). Providers in rural China display low levels of knowledge when treating diabetes and angina. Despite low knowledge, evidence of the know-do gap indicates that low-quality healthcare is the primary constraint on the quality of NCD diagnosis and treatment in rural China. Our research findings provide a new perspective for the evaluation of the medical quality and a technical basis for the development of new standardized cases in the future.

Journal Publisher
Frontiers in Public Health
Authors
Scott Rozelle
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News
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Earlier this year the Stanford Center on China's Economy and Institutions (SCCEI) joined the Center for Strategic and International Studies (CSIS) to launch Big Data China, a new project aimed at bridging the gap between cutting-edge academic research on China and the Washington policy community. Since the launch of the collaboration, SCCEI and CSIS have hosted a number of featured events, organized briefing sessions for academics to speak directly with policy makers,  launched a new project website, and much more.

We just don’t understand China — if we understood China better, we could make better policy decisions.
Scott Rozelle

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Big Data China logo
The Big Data China website features regular multimedia analysis with high-quality data that explores important trends in China’s economy and society. In the newest video release, Scott Rozelle, SCCEI Co-Director, and Scott Kennedy, CSIS Trustee Chair in Chinese Business and Economics, sit down to discuss why the Big Data China collaboration is needed now, more than ever. As Scott Rozelle puts it, "we just don’t understand China — if we understood China better, we could make better policy decisions." This collaboration aims to reduce the current gap between academia and Washington by identifying and highlighting the policy implications of cutting-edge scholarly work on China and presenting it directly to the policy community. 


Watch the video and visit the website for more from Big Data China!

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SCCEI Launches New Impact Initiative with the China Briefs

The SCCEI China Briefs are short features that translate top-quality academic research into evidence-based insights for those interested in China and U.S.-China relations. Released twice a month, the briefs will cover timely issues that inform policy and advance the public understanding of China and its role on the global stage.
SCCEI Launches New Impact Initiative with the China Briefs
Big Data China logo in front of Shanghai cityscape
News

SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)

"Big Data China" aims to bridge the gap between cutting-edge quantitative academic research and the Washington policy community. On February 11, 2022, SCCEI and CSIS hosted their first Big Data China event, "A Liberal Silent Majority in China?" Curated highlights from the first feature of the collaboration are included below.
SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)
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Politico: Biden Bets Big on Asia

Jude Blanchette from CSIS recommends Scott Rozelle's new book "Invisible China" saying, "If you’re thinking seriously about China’s future trajectory, it’s imperative you read this book to understand the possible impacts of China’s chronic underinvestment in education.”
Politico: Biden Bets Big on Asia
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In this video short, Scott Rozelle, SCCEI Co-Director sits down with Scott Kennedy, CSIS Trustee Chair in Chinese Business, to discuss Big Data China, a new project aimed at bridging the gap between cutting-edge academic research on China and the Washington policy community.

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Purpose: We examine how adolescent free time allocation—namely, screen time and outdoor time—is associated with mental health and academic performance in rural China.

Methods: This paper used a large random sample of rural junior high school students in Ningxia (n = 20,375; age=13.22), with data collected from self-reported demographic questionnaires (to assess free time allocation), the Strengths and Difficulties Questionnaire (to assess mental health), and a standardized math test (to measure academic performance). We utilized a multivariate OLS regression model to examine associations between free time allocation and adolescent outcomes, controlling for individual and family characteristics.

Results: Our sample’s screen time and outdoor time both averaged around 1 hour. About 10% of the sample adolescents reported behavioral difficulties, while a similar percentage (11%) reported abnormal prosocial behaviors. Adolescents with higher levels of screen time (> 2 hours) were 3 percentage points more likely to have higher levels of behavioral difficulties (p< 0.001), indicating that excessive screen time was associated with worse mental health. Meanwhile, outdoor time was associated with better mental health, and positive correlations were observed at all levels of outdoor time (compared to no outdoor time, decreasing the likelihood of higher levels of behavioral difficulties by between 3 and 4 percentage points and of lower prosocial scores by between 6 and 8 percentage points; all p’s< 0.001). For academic performance, average daily screen times of up to 1 hour and 1– 2 hours were both positively associated with standardized math scores (0.08 SD, p< 0.001; 0.07 SD, p< 0.01, respectively), whereas there were no significant associations between outdoor time and academic performance.

Conclusion: Using a large sample size, this study was the first to examine the association between adolescent free time allocation with mental health and academic performance, providing initial insights into how rural Chinese adolescents can optimize their free time.

Journal Publisher
Risk Management and Healthcare Policy
Authors
Huan Wang
Scott Rozelle
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Background
High adherence and proper usage of micronutrient powder (MNP) influence child nutritional outcomes, yet few studies explore the role of delivery patterns. This study explores the association between MNP delivery patterns and MNP feeding behaviors among Han and minority caregivers in rural Western China.

Methods
In August 2019, a total of 1021 caregiver-child pairs were selected through a four-stage cluster sampling process. A cross-sectional survey collected information on caregiver demographics, MNP delivery patterns (channel and frequency), and MNP feeding behaviors (proper usage and adherence). Using logistic regression, we examined which delivery channels and delivery frequencies were associated with proper usage and high adherence.

Results
The results indicated that minority caregivers had lower levels of proper MNP usage than did Han caregivers (89.2%), with Tibetan caregivers’ reporting the lowest rates of adherence (32.6%). Logistic regression revealed that that township-based channel was significantly correlated with proper usage among Tibetan and Yi caregivers (Odds Ratio, OR = 2.0, p < 0.01; and OR = 3.5, p < 0.001). Overall, the township-based and home-visit channels were significantly correlated with high adherence (OR = 1.7 and OR = 2.3, respectively; p < 0.001); delivery frequency was significantly correlated with high adherence (2 months: OR = 2.2, p < 0.001 and ≤ 1 month: OR = 3.5, p < 0.001) but not correlated with proper usage among the whole sample and individual ethnic groups.

Conclusions
In conclusion, the study finds evidence of a correlation between MNP delivery channel and both proper usage and high adherence as well as a correlation between MNP delivery frequency and high adherence.

Journal Publisher
BMC Public Health
Authors
Scott Rozelle
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Working Papers
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We study how an elite college education affects social mobility in China. China provides an interesting context because its college admissions rely mainly on the scores of a centralized exam, a system that has been the subject of intense debate. Combining the data from a large-scale college graduate survey and a nationally representative household survey, we document three main findings. First, attending an elite college can change one's fate. It significantly raises the child's rank in the income distribution. Nevertheless, it does not change the intergenerational relationship in income ranks or guarantee one's entry into an elite occupation or industry. Second, although access to elite colleges increases with parental income, the income gradient is much flatter than in the United States. Third, the score-based cutoff rule in elite college admission is income neutral. Overall, these findings reveal the efficacy and limitations of China's elite colleges in shaping social mobility.

Authors
Hongbin Li
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In many developing countries, low population density may be a major reason for low school participation in rural areas, and the problem is likely to worsen with rapid urbanization. However, few studies have investigated empirically the role of population density in rural education, especially the moderating effect of population density on the outcomes of education policies. This study aims to fill this gap in the literature. From 1999 through the early 2000s, China launched a set of major nationwide policies aimed at universalizing 9-year compulsory education in rural areas. Using differencein- differences and triple difference strategies, we show that the policies significantly increased the probability of junior high school enrollment of rural children and, more importantly, these policies were more effective in densely populated regions. These fi ndings confi rm the importance of population density to rural education.

Journal Publisher
China & World Economy
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The event will be webcast live from this page.

The Stanford Center on China’s Economy and Institutions (SCCEI) and the CSIS Trustee Chair in Chinese Business and Economics launch the third feature of the new collaboration, Big Data China, on July 27 at 9 a.m. PDT / 12 p.m. EDT.  The feature, “The AI-Surveillance Symbiosis in China,” highlights the work of professors Noam Yuchtman (London School of Economics) and David Yang (Harvard University) and their colleagues. The feature shows how China‘s large-scale investments in surveillance technology is both enhancing the state‘s capacity to repress dissent and providing commercial advantage to Chinese AI companies operating in the facial recognition and surveillance space.


The event will feature a presentation of the key findings of the analysis and its implications for the Washington policy community by Noam Yuchtman of London School of Economics, David Yang of Harvard University, and Trustee Chair Fellow Ilaria Mazzocco. Trustee Chair Director Scott Kennedy will moderate a panel discussion which will include questions from the public and questions from the audience. The distinguished panelists for the event are: Emily Weinstein of CSET, Paul Mozur of the New York Times, and Trustee Chair non-resident senior associate Paul Triolo


WATCH THE RECORDING

FEATURING

Noam Yuchtman 
Professor of Managerial Economics and Strategy, London School of Economics and Political Science
David Yang 
Assistant Professor of Economics, Harvard University
Emily Weinstein  
Research Fellow, Center for Security and Emerging Technology (CSET), Georgetown University
Paul Mozur 
Correspondent, New York Times
Scott Kennedy 
Senior Adviser and Trustee Chair in Chinese Business and Economics
Ilaria Mazzocco 
Fellow, Trustee Chair in Chinese Business and Economics
Paul Triolo 
Senior Associate (Non-resident), Trustee Chair in Chinese Business and Economics
 

EVENT PARTNERS
 

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Virtual Livestream 

Scott Kennedy
Ilaria Mazzocco
Paul Mozur
Paul Triolo
Emily Weinstein
David Yang
Noam Yuchtman
Panel Discussions
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Global Health Economics, China, & the Science of Health Care Delivery in the Digital Age


Advances in artificial intelligence, use of "big data", digital platforms enabling mass collaboration, automation, the "internet-of-things" and other so-called "4th Industrial Revolution" (4IR) technologies are enabling a radical shift in how healthcare is delivered. Few places are attempting to integrate these technologies into healthcare as rapidly as China. This talk will discuss China's comparative advantage in the adoption of these technologies and lay out a research agenda for the economics of digital health. While these technologies bring potential to produce massive improvements in access to high-quality care and lower costs, this result is far from certain. Beyond mere technical uncertainty, 4IR technologies are likely to produce profound changes in healthcare markets by altering the nature of incentives in the health system and relationships between patients, providers, payers. Evidence on these issues is needed to inform policy and regulation aiming to maximize social value and mitigate unintended consequences. Specific applications will be drawn from online research in China and other middle-income countries.


About the Speaker

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Sean Sylvia headshot.

Sean Sylvia is an Assistant Professor of health economics at UNC. His primary research interest is in the delivery of healthcare in China and other middle-income countries. Working with multidisciplinary teams of collaborators, he conducts large-scale population-based surveys and randomized trials to develop and test new approaches to provide healthcare to the poor and marginalized. His recent work focuses on the use of information technology to expand access to quality healthcare. 


For more information, please visit his personal website.


This event will be held in-person at Stanford University, masks are not required but strongly encouraged.

Questions? Contact sccei-communications@stanford.edu


 

Philippines Room, C330, Encina Hall, Stanford University

Sean Sylvia
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This paper examines the impact of parental beliefs on child development outcomes (for both cognitive and social–emotional skills) based on a three-wave longitudinal survey in rural China. The survey waves were conducted when the sample children were 18–30 months, 22–36 months, and 49–65 months, respectively. A total of 815 children and their primary caregivers who participated in all three wave surveys were enrolled in this study. Using difference-in-differences and propensity score matching approaches, the results indicate that strengthened parental beliefs have a positive and significant impact on child social–emotional development. Specifically, between the periods of the Wave 1 survey (when children were 18–30 months old) and the Wave 3 survey (when children were 49–65 months old), and between the Wave 2 survey (when children were 22–36 months old) and the Wave 3 survey, strengthened parental beliefs were causally associated with more favorable child social–emotional scores by 0.44 SD (p < 0.01) and 0.49 SD (p < 0.01), respectively. No significant impact, however, was found between the period of the Wave 1 survey and the Wave 2 survey. In contrast, weakened parental beliefs had a negative and significant impact on child social–emotional development. Specifically, weakened parental beliefs were causally associated with worse child social–emotional abilities by 0.35 SD (p < 0.01), 0.30 SD (p < 0.01), and 0.22 (p < 0.05) for the time period of the Wave 1 to Wave 2, Wave 1 to Wave 3, and Wave 2 to Wave 3, respectively. No significant impact of parental beliefs, however, was found on child cognitive development. In addition, the findings of the mediation analysis show that only a marginal impact of parental beliefs on child social–emotional development can be indirectly explained by parental beliefs through parenting practices. This study calls on policy makers to improve parental beliefs and parenting practices in the hope that it will lead to better child development in rural China.

Journal Publisher
International Journal of Environmental Research and Public Health
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