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.

OBJECTIVE
To quantify the limitations associated with restricting readmission metrics to same-hospital only readmission.
DESIGN
Using 2000-2009 California Office of Statewide Health Planning and Development Patient Discharge Data Nonpublic file, we identified the proportion of 7-, 15- and 30-day readmissions occurring to the same hospital as the initial admission using All-cause Readmission (ACR) and 3M Corporation Potentially Preventable Readmissions (PPR) Metric. We examined the correlation between performance using same and different hospital readmission, the percent of hospitals remaining in the extreme deciles when utilizing different metrics, agreement in identifying outliers and differences in longitudinal performance. Using logistic regression, we examined the factors associated with admission to the same hospital.
RESULTS
68% of 30-day ACR and 70% of 30-day PPR occurred to the same hospital. Abdominopelvic procedures had higher proportions of same-hospital readmissions (87.4-88.9%), cardiac surgery had lower (72.5-74.9%) and medical DRGs were lower than surgical DRGs (67.1 vs. 71.1%). Correlation and agreement in identifying high- and low-performing hospitals was weak to moderate, except for 7-day metrics where agreement was stronger (r = 0.23-0.80, Kappa = 0.38-0.76). Agreement for within-hospital significant (P < 0.05) longitudinal change was weak (Kappa = 0.05-0.11). Beyond all patient refined-diagnostic related groups, payer was the most predictive factor with Medicare and MediCal patients having a higher likelihood of same-hospital readmission (OR 1.62, 1.73).
CONCLUSIONS
Same-hospital readmission metrics are limited for all tested applications. Caution should be used when conducting research, quality improvement or comparative applications that do not account for readmissions to other hospitals.

Abstract:  The Agency for Healthcare Research and Quality Patient Safety Indicators (PSIs) do not capture complications arising after discharge. This study sought to quantify the bias related to omission of readmissions for PSI-qualifying conditions. Using 2000-2009 California Office of Statewide Health Planning and Development Patient Discharge Data, the study team examined the change in PSI rates when including readmissions in the numerator, hospitals performing in the extreme deciles, and longitudinal performance. Including 7-day readmissions resulted in a 0.3% to 8.9% increase in average hospital PSI rates. Hospital PSI rates with and without PSI-qualifying 30-day readmissions were highly correlated for point estimates and within-hospital longitudinal change. Most hospitals remained in the same relative performance decile. Longer length of stay, public payer, and discharge to skilled nursing facilities were associated with a higher risk of readmission for a PSI-qualifying event. Failure to include readmissions in calculating PSIs is unlikely to lead to erroneous conclusions.