IMPORTANCE In rural India, as in many developing countries, childhood mortality remains high and the quality of health care available is low. Improving care in such settings, where most health care practitioners do not have formal training, requires an assessment of the practitioners’ knowledge of appropriate care and the actual care delivered (the know-do gap). OBJECTIVE To assess the knowledge of local health care practitioners and the quality of care provided by them for childhood diarrhea and pneumonia in rural Bihar, India. DESIGN, SETTING, AND PARTICIPANTS We conducted an observational, cross-sectional study of the knowledge and practice of 340 health care practitioners concerning the diagnosis and treatment of childhood diarrhea and pneumonia in Bihar, India, from June 29 through September 8, 2012. We used data from vignette interviews and unannounced standardized patients (SPs). MAIN OUTCOMES AND MEASURES For SPs and vignettes, practitioner performance was measured using the numbers of key diagnostic questions asked and examinations conducted. The know-do gap was calculated by comparing fractions of practitioners asking key diagnostic questions on each method. Multivariable regressions examined the relation among diagnostic performance, prescription of potentially harmful treatments, and the practitioners’ characteristics. We also examined correct treatment recommended by practitioners with both methods. RESULTS Practitioners asked a mean of 2.9 diagnostic questions and suggested a mean of 0.3 examinations in the diarrhea vignette; mean numbers were 1.4 and 0.8, respectively, for the pneumonia vignette. Although oral rehydration salts, the correct treatment for diarrhea, are commonly available, only 3.5% of practitioners offered them in the diarrhea vignette. With SPs, no practitioner offered the correct treatment for diarrhea, and 13.0% of practitioners offered the correct treatment for pneumonia. Diarrhea treatment has a large know-do gap; practitioners asked diagnostic questions more frequently in vignettes than for SPs. Although only 20.9% of practitioners prescribed treatments that were potentially harmful in the diarrhea vignettes, 71.9% offered them to SPs (P < .001). Unqualified practitioners were more likely to prescribe potentially harmful treatments for diarrhea (adjusted odds ratio, 5.11 [95% CI, 1.24–21.13]). Higher knowledge scores were associated with better performance for treating diarrhea but not pneumonia. CONCLUSIONS AND RELEVANCE Practitioners performed poorly with vignettes and SPs, with large know-do gaps, especially for childhood diarrhea. Efforts to improve health care for major causes of childhood mortality should emphasize strategies that encourage pediatric health care practitioners to diagnose and manage these conditions correctly through better monitoring and incentives in addition to practitioner training initiatives.

BackgroundAlmost 25% of all new cases of tuberculosis (TB) worldwide are in India, where drug resistance and low quality of care remain key challenges.MethodsWe conducted an observational, cross-sectional study of healthcare providers' knowledge of diagnosis and treatment of TB in rural Bihar, India, from June to September 2012. Using data from vignette-based interviews with 395 most commonly visited healthcare providers in study areas, we scored providers' knowledge and used multivariable regression models to examine their relationship to providers' characteristics.Findings80% of 395 providers had no formal medical qualifications. Overall, providers demonstrated low levels of knowledge: 64.9% (95% CI 59.8% to 69.8%) diagnosed correctly, and 21.7% (CI 16.8% to 27.1%) recommended correct treatment. Providers seldom asked diagnostic questions such as fever (31.4%, CI 26.8% to 36.2%) and bloody sputum (11.1%, CI 8.2% to 14.7%), or results from sputum microscopy (20.0%, CI: 16.2% to 24.3%). After controlling for whether providers treat TB, MBBS providers were not significantly different, from unqualified providers or those with alternative medical qualifications, on knowledge score or offering correct treatment. MBBS providers were, however, more likely to recommend referrals relative to complementary medicine and unqualified providers (23.2 and 37.7 percentage points, respectively).InterpretationHealthcare providers in rural areas in Bihar, India, have low levels of knowledge regarding TB diagnosis and treatment. Our findings highlight the need for policies to improve training, incentives, task shifting and regulation to improve knowledge and performance of existing providers. Further, more research is needed on the incentives providers face and the role of information on quality to help patients select providers who offer higher quality care.

ObjectiveTo evaluate the impact on the quality of the care provided for childhood diarrhoea and pneumonia in Bihar, India, of a large-scale, social franchising and telemedicine programme – the World Health Partners’ Sky Program.MethodsWe investigated changes associated with the programme in the knowledge and performance of health-care providers by carrying out 810 assessments in a representative sample of providers in areas where the programme was and was not implemented. Providers were assessed using hypothetical patient vignettes and the standardized patient method both before and after programme implementation, in 2011 and 2014, respectively. Differences in providers’ performance between implementation and nonimplementation areas were assessed using multivariate difference-in-difference linear regression models.FindingsThe programme did not significantly improve health-care providers’ knowledge or performance with regard to childhood diarrhoea or pneumonia in Bihar. There was a persistent large gap between knowledge of appropriate care and the care actually delivered.ConclusionSocial franchising has received attention globally as a model for delivering high-quality care in rural areas in the developing world but supporting data are scarce. Our findings emphasize the need for sound empirical evidence before social franchising programmes are scaled up.

We examine the effect of plant managers on productivity using unique matched manager-plant panel data on U.S. auto-assembly plants during 1993–2007. Our econometric approach is two-pronged. Our first approach relies on using the panel nature of our data to measure variation in productivity due to managerial influence. We estimate the interquartile range of the effect of individual plant managers on average hours-per-vehicle to be about 30%. Further, we find that plant managers’ experience with the models that are in production ameliorates the negative impact of new model introductions on productivity. We also observe evidence that managers’ plant-specific tenure has a positive impact on productivity. In our second approach, we use high-frequency time-series data, along with structural-break tests and machine-learning methodologies, to predict variation in production using plant-manager switches. We find that a plant manager’s identity is predictive of changes in both the mean and variance of production, further highlighting their channels of managerial influence. These findings are robust to narrowing the sample to focus on retirements as an exogenous source of managerial switches. This paper was accepted by Serguei Netessine, operations management.

No abstract