DEVELOPMENT AND REPRODUCIBILITY OF THE INSTRUMENTO DE AVALIAÇÃO DA PROMOÇÃO DA SAÚDE NA UNIVERSIDADE - IAPSU (ASSESSMENT TOOL FOR HEALTH PROMOTION AT THE UNIVERSITY)

Objective: To present the Instrumento de Avaliação da Promoção da Saúde na Universidade – IAPSU (Assessment Tool for Health Promotion at the University) and its reproducibility assessment process. Methods: Cross-sectional study conducted between May and July 2014 with 50 students from a university of Fortaleza, Ceará, which developed the IAPSU through the analysis of government documents and a systematic review of the literature on a potentially healthy university. The tool has 41 questions divided into five domains: physical activity, diet, environmental factors, psychosocial factors and alcohol and drug use, integrative and complementary practices. To assess the inter-examiner reproducibility, the students answered the IAPSU twice, applied by two different examiners; to assess the intraexaminer reproducibility, another application of the instrument was performed after seven days. Results: The study comprised 40 Nursing students and 10 Physical Therapy students, with a mean age of 25 ± 5.4 years; 88% were women and white individuals were predominant. In the reproducibility assessment, strong intraclass, intra- and inter-examiner correlation coefficients - above 0.8 - were observed in all the domains. Conclusion: The IAPSU is a reproducible and reliable instrument for assessing health promotion at the university.

Selecting candidate predictor variables for the modelling of post-discharge mortality from sepsis: a protocol development project.

Background: Post-discharge mortality is a frequent but poorly recognized contributor to child mortality in resource limited countries. The identification of children at high risk for post-discharge mortality is a critically important first step in addressing this problem. Objectives: The objective of this project was to determine the variables most likely to be associated with post-discharge mortality which are to be included in a prediction modelling study. Methods: A two-round modified Delphi process was completed for the review of a priori selected variables and selection of new variables. Variables were evaluated on relevance according to (1) prediction (2) availability (3) cost and (4) time required for measurement. Participants included experts in a variety of relevant fields. Results: During the first round of the modified Delphi process, 23 experts evaluated 17 variables. Forty further variables were suggested and were reviewed during the second round by 12 experts. During the second round 16 additional variables were evaluated. Thirty unique variables were compiled for use in the prediction modelling study. Conclusion: A systematic approach was utilized to generate an optimal list of candidate predictor variables for the incorporation into a study on prediction of pediatric post-discharge mortality in a resource poor setting.