Service delivery guidelines, when properly disseminated, can improve family planning practices in sub-Saharan Africa.

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Although diabetes-related knowledge has reached high levels, stagnant perceived risk suggests people at risk are not applying this knowledge to themselves. Future surveys are planned to include additional, specific questions to capture people's movement toward behavior change and to identify where strategic efforts and educational interventions can help promote improved behaviors.

BackgroundRandomized controlled trials that test the effectiveness of mobile health-based weight loss programs are attractive to participants, funders, and researchers because of the low implementation cost, minimal participant burden, and the ability to recruit participants from longer distances. Collecting weight data from geographically dispersed participants is a challenge. Relying on participant self-report is one approach to data collection, but epidemiologic studies indicate that self-reported anthropometric data may be inaccurate.MethodsWe provided women enrolled in a randomized controlled trial (RCT) of postpartum weight loss after gestational diabetes with a digital scale and training to collect and report weight via a web-based survey. To validate self-reported weights and heights, we visited 30 randomly selected women in their homes, with a reference scale and stadiometer, a mean of 34 days after the self-report. We ran linear regression models to identify characteristics that were associated with underreporting or overreporting of anthropometric measures.ResultsOf the 30 women we visited, 11 women (37%) were assigned to the weight loss intervention group and 19 women (63%) were in the control group. Mean age was 38.5 years (SD 4.5). The overall mean difference between participants’ self-reported weights and the weights obtained at their home visit was 0.70 kg (+1.92). Women assigned to the intervention group underreported their weight in comparison with the control group by 1.29 kg (95% CI −2.52, −0.06). The overall difference in collected to self-reported height was −0.56 cm (±1.91). No characteristics were associated with underreporting or overreporting of height.ConclusionsOur research suggests that by providing a digital scale and developing a weight collection protocol, researchers can train women to collect and record their own study weights with reasonable validity. To achieve the level of validity required for clinical trials, researchers should consider additional strategies to assure the validity of the data.Trial registrationNCT01923350.

Since the 1970s, the federal government has spearheaded major national education programs to reduce the burden of chronic diseases in the United States. These prevention and disease management programs communicate critical information to the public, those affected by the disease, and health care providers. The National Diabetes Education Program (NDEP), the leading federal program on diabetes sponsored by the National Institutes of Health (NIH) and the Centers for Disease Control and Prevention (CDC), uses primary and secondary quantitative data and qualitative audience research to guide program planning and evaluation. Since 2006, the NDEP has filled the gaps in existing quantitative data sources by conducting its own population-based survey, the NDEP National Diabetes Survey (NNDS). The NNDS is conducted every 2–3 years and tracks changes in knowledge, attitudes and practice indicators in key target audiences. This article describes how the NDEP has used the NNDS as a key component of its evaluation framework and how it applies the survey results for strategic planning and program improvement. The NDEP's use of the NNDS illustrates how a program evaluation framework that includes periodic population-based surveys can serve as an evaluation model for similar national health education programs.