We develop and test gender attitude measures conducted with a school-based sample of adolescents aged 14-17 years in India. We test a measure with survey items and vignettes to capture gender-based value and stereotypes, an Implicit Association Test (IAT) capturing gender-based value, and an IAT capturing gender stereotype. All demonstrate good internal reliability, and both IATs are significantly associated with our survey measure suggesting criterion validity, though not confirming it due to the lack of a gold standard measure on gender attitudes. Finally, construct validity is indicated from the measures' positive significant associations with higher girls' mobility and education. The gender-related IAT tools developed are consistent and valid, and modestly correlated with gender-related behavior outcomes such as mobility and school enrolment.

Heart disease is the leading cause of death in the United States. Heart failure disease management can improve health outcomes for elderly community dwelling patients with heart failure. This paper describes DCDS, a real-time data capture and personalized decision support system for a Randomized Controlled Trial Investigating the Effect of a Heart Failure Disease Management Program (HF-DMP) in Skilled Nursing Facilities (SNF). SNF is a study funded by the NIH National Heart, Lung, and Blood Institute (NHLBI). The HF-DMP involves proactive weekly monitoring, evaluation, and management, following National HF Guidelines. DCDS collects a wide variety of data including 7 elements considered standard of care for patients with heart failure: documentation of left ventricular function, tracking of weight and symptoms, medication titration, discharge instructions, 7 day follow up appointment post SNF discharge and patient education. We present the design and implementation of DCDS and describe our preliminary testing results.