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The measurement of burnout among physicians is important because physician well‐being has the potential to affect workforce stability and quality of care. In this study, a single‐item measure of burnout was validated against the sub‐scales of the Maslach Burnout Inventory (emotional exhaustion, depersonalization, and personal accomplishment). Survey items included the 22‐item Maslach Burnout Inventory, a single‐item measure of burnout, and other questions regarding demographics, practice characteristics, and occupational satisfaction. The surveys were mailed to Texas Tech University School of Medicine Alumni classes of 1980–1989. The response rate was 43 per cent (n = 307). Pearson correlation coefficients and ANOVA were used to determine the association between the Maslach Burnout Inventory scores and the single‐item burnout question. The single‐item was correlated at r = 0.64 (p < 0.0001) with emotional exhaustion and the ANOVA yielded an R2 of 0.5 (p < 0.0001). Hence, in surveys of physicians where emotional exhaustion is the primary sub‐scale of interest, a single‐item measure of burnout may be used as an alternative to the Maslach Burnout Inventory in order to abbreviate survey material and potentially increase response rates among physicians. Copyright © 2004 John Wiley & Sons, Ltd.

Background: Recent reports suggest that alcohol use may have a protective effect on obesity. This study explores association between obesity and alcohol consumption in the non-smoking U.S. adult population. Methods:We analyzed data on a total of 8,236 respondents who participated in the Third National Health and Nutrition Examination Survey. Body mass index (weight-kg/height-m 2 ) was derived from measured height and weight data and categorized into: normal weight, overweight, and obese. Alcohol consumption was measured using following measures: history of drinking, binge drinking, quantity of drinks/day, frequency of drinking, and average volume of drinks/week. Results:Mean body mass index in this sample of non-smokers was 26.4 (95% CI: 26.1, 26.7). Approximately 46% of respondents were classified as current drinkers. Current drinkers had lower odds of obesity (Adjusted odds ratio = 0.73, 95% CI: 0.55, 0.97) as compared to non-drinkers. The odds of overweight and obesity were significantly greater among binge drinkers and those consuming four or more drinks/day. However, those who reported drinking one or two drinks per day had 0.46 (95% CI: 0.34, 0.62) and 0.59 (95% CI: 0.41, 0.86) times the odds of obesity, respectively. Similarly, the odds of obesity were significantly lower among those who reported drinking frequently and consuming less than five drinks per week. The association between overweight and other alcohol measures was less pronounced. Conclusion:The results suggest further exploring the possible role of moderate alcohol drinking in controlling body weight in adults.

A profile of persons not having a checkup in the past 12 months emerged from the investigation.

These data show that a protocol based on clinical evaluation by a pediatric surgeon with selective use of imaging was highly accurate for the diagnosis of appendicitis in children. Low rates of negative appendectomy (5%) and perforation (17%) were achieved without the potential costs and radiation exposure of excess imaging.

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BackgroundObesity is an important public health problem. However, the effects of alcohol use on the risk for obesity have not been thoroughly explored. This study focuses on how frequency of alcohol use is related to the risk of obesity in a community medicine clinic population.MethodsThis study used a cross-sectional survey to test the hypothesis that obesity (BMI > 30) is associated with alcohol use. The convenience sample was drawn from three clinics that primarily serve low-income populations. Independent variables included frequency of alcohol use, frequency of binge drinking, demographic characteristics, health behaviors and health status.ResultsIn comparison to non-drinkers, people who consumed alcohol 3 or more days per month had lower odds of being obese (Adjusted Odds Ratio = .49, p < .04). As expected, there was a significant association between watching eight or more hours of television per day and obesity (AOR = 2.34, p < .01).ConclusionMore frequent drinking and less television time are independently associated with reduced odds of obesity in this sample of community medicine patients. Additional research is needed to isolate casual mechanisms.

This study examined if known predictors of patient satisfaction would still be significant when single items are used. Approximately 5000 elderly persons were randomly sampled from 65 000 households in West Texas. Single-item questions about patient satisfaction, self-rated overall health status, self-rated mental health, and health confidence were analyzed by chi-square tests and logistic regressions. Slightly more than 12% of the participants were not satisfied or barely satisfied with health care received. Those who reported higher health confidence, lower self-rated overall health, having emotional problems, or who were men were less likely to be satisfied with health care. A simple survey tool based on single-item questions identified by the current study might be useful for monitoring patient satisfaction, self-rated health, and health confidence in primary care settings and hence might assist management in capturing the basic picture for improving health care quality.