The know-do gap in quality of health for chronic non-communicable diseases in rural China

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

Adherence to micronutrient powder for home fortification of foods among infants and toddlers in rural China: a structural equation modeling approach

Abstract Background The WHO recommends daily use of micronutrient powder for infants and toddlers at risk of micronutrient deficiencies in low-and-middle-income countries. China has established a micronutrient powder distribution program in many rural townships and villages, yet adherence to micronutrient powder remains suboptimal; a little is known about the behavioral inputs that may influence adherence. This study examines direct and indirect behavioral inputs in micronutrient powder adherence among caregivers in rural western China following the Integrated Behavioral Model (IBM) framework. Methods Cross-sectional data were collected from April to May 2019 among 958 caregivers of children aged 6 to 24 months in six counties. Data were collected on micronutrient powder adherence behavior, direct behavioral inputs (knowledge and skills, intention, salience, environmental constraints, and habits), and indirect behavioral inputs (attitudes, perceived social norms, and personal agency). Structural equation modeling (SEM) adjusted for sociodemographic covariates was used to evaluate the IBM framework. Results Mean micronutrient powder adherence in the previous seven days was 53.02%, and only 22.86% of caregivers consistently fed micronutrient powder from the start of micronutrient powder distribution at six months of age. The SEM model revealed small- to medium-sized effects of salience (β = 0.440, P < 0.001), intention (β = 0.374, P < 0.001), knowledge and skills (β = 0.214, P < 0.001), personal agency (st. effect = 0.172, P < 0.001), environmental constraints (β=-0.142, P < 0.001), and caregiver generation (β = 0.119, P < 0.05) on micronutrient powder adherence. Overall, 54.7% of the variance in micronutrient powder adherence was explained by the IBM framework. Salience had the largest impact on micronutrient powder adherence (Cohen’s f 2 = 0.227). Compared to parent caregivers, grandparents had a higher degree of micronutrient powder adherence on average (P < 0.001), and behavioral inputs were consistent among both parent and grandparent caregivers. Conclusion There is a need to improve micronutrient powder adherence among rural caregivers. The IBM framework showed a high degree of explanatory power in predicting micronutrient powder adherence behavior. The findings suggest that increased reminders from doctors regarding micronutrient powder and coaching to improve personal agency in micronutrient powder feeding may increase adherence

Generalizable evidence that computer assisted learning improves student learning: A systematic review of education technology in China

Despite the proliferation of education technologies (EdTech) in education, past reviews that examine their effectiveness in the context of low- and middle-income countries are few and rarely seek to include studies published in languages other than English. This systematic review investigates the effectiveness of EdTech on primary and secondary student learning outcomes in China via a systematic search of both English- and Chinese-language databases. Eighteen (18) unique studies in 21 manuscripts on the effectiveness of EdTech innovations in China met the eligibility criteria. The majority of these evaluate computer aided self-led learning software packages designed to improve student learning (computer assisted learning, CAL), while the rest evaluate the use of EdTech to improve classroom instruction (ICI) and remote instruction (RI). The pooled effect size of all included studies indicates a small, positive effect on student learning (0.13 SD, 95% CI [0.10, 0.17]). CAL used a supplement to existing educational inputs – which made up the large majority of positive effect sizes – and RI programs consistently showed positive and significant effects on learning. Our findings indicate no significant differences or impacts on the overall effect based on moderating variables such as the type of implementation approach, contextual setting, or school subject area. Taken together, while there is evidence of the positive impacts of two kinds of EdTech (supplemental computer assisted learning and remote instruction) in China, more evidence is needed to determine the effectiveness of other approaches