Accuracy of Self-Reported Weight Among Adolescent and Young Adults Following Bariatric Surgery.

PURPOSE: This study evaluates accuracy of self-reported weight in adolescent bariatric surgery patients. MATERIALS AND METHODS: During follow-up visits, participants self-reported weight and had weight measured. The differences between self-reported and measured weights were analyzed from 60 participants. RESULTS: Participants were 70% (n = 42) female, 72% (n = 43) white, mean age of 20.8 years and a median body mass index of 36.6 kg/m2. At an average of 3.5 years following surgery, females underestimated weight (0.5 kg, range: -18.7 to 5.6 kg), while males overestimated (1.1 kg, range: -7.8 to 15.2 kg). Most (80%, n = 48) reported within 5 kg of measured weight. The majority of adolescents who previously underwent bariatric surgery reported reasonably accurate weights, but direction of misreporting varied by gender. CONCLUSION: Self-reported weights could be utilized when measured values are unavailable without markedly biasing the interpretation of outcomes.

Evaluation of a Teleform-based data collection system: a multi-center obesity research case study.

Utilizing electronic data capture (EDC) systems in data collection and management allows automated validation programs to preemptively identify and correct data errors. For our multi-center, prospective study we chose to use TeleForm, a paper-based data capture software that uses recognition technology to create case report forms (CRFs) with similar functionality to EDC, including custom scripts to identify entry errors. We quantified the accuracy of the optimized system through a data audit of CRFs and the study database, examining selected critical variables for all subjects in the study, as well as an audit of all variables for 25 randomly selected subjects. Overall we found 6.7 errors per 10,000 fields, with similar estimates for critical (6.9/10,000) and non-critical (6.5/10,000) variables-values that fall below the acceptable quality threshold of 50 errors per 10,000 established by the Society for Clinical Data Management. However, error rates were found to widely vary by type of data field, with the highest rate observed with open text fields.

Geographic clustering of Pneumocystis carinii pneumonia in patients with HIV infection.

To detect whether there was geographic clustering of Pneumocystis carinii pneumonia cases among patients with human immunodeficiency virus (HIV) infection, we performed a retrospective analysis of a clinical database. The rates of pneumocystosis were analyzed by zip code zones for evidence of geographical clustering. During the study period, 118 patients at our AIDS Treatment Center had a first episode of P. carinii pneumonia. An analysis of the 24 zip code zones for which a P. carinii pneumonia rate was calculated (requiring a denominator of at least 10 known HIV- infected individuals residing in that zone) showed a trend toward geographic clustering (p = 0.07); when all 45 Cincinnati zip code zones were included in the analysis, clustering of cases was observed (p = 0. 02). By contrast, no clustering was observed for 52 HIV-infected control subjects with respiratory disease or for 960 HIV-infected patients treated at our center during the same time period. These data raise intriguing questions about exposure to exogenous sources of P. carinii and suggest the need for prospective studies.