Clinical Epidemiology Commons^™

Syndemics Of Severity And Frequency Of Elder Abuse: A Cross-Sectional Study In Mexican Older Females, Mireya Vilar-Compte, Pablo Gaitán-Rossi

Department of Public Health Scholarship and Creative Works

Background: Elder abuse is a common phenomenon with important effects on the health and well-being of older adults. There are important gaps in elder abuse measurement, as it is usually reported as the absence or presence of elder abuse, disregarding its severity and frequency.

Objectives: Identify different ways of measuring severity and frequency of elder abuse and assess whether different experiences of severity and frequency suggest syndemic relationships.

Methods: Through a sample of 534 non-institutionalized Mexican older women, we assessed how severity (i.e., number of abusive experiences and number of types of abuses) and frequency (i.e., if abusive experiences had …

Evaluation Of The Hiv Infant Tracking System (Hitsystem) To Optimise Quality And Efficiency Of Early Infant Diagnosis: A Cluster-Randomised Trial In Kenya., Sarah Finocchario-Kessler, Brad Gautney, Anlin Cheng, Catherine Wexler, May Maloba, Niaman Nazir, Samoel Khamadi, Raphael Lwembe, Melinda Brown, Thomas A. Odeny, Jacinda K. Dariotis, Matthew Sandbulte, Natabhona Mabachi, Kathy Goggin

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: The HIV Infant Tracking System (HITSystem) is a web-based intervention linking providers of early infant diagnosis, laboratory technicians, and mothers and infants to improve outcomes for HIV-exposed infants. We aimed to evaluate the efficacy of the HITSystem on key outcomes of early infant diagnosis.

METHODS: We did a cluster-randomised trial at six hospitals in Kenya, which were matched on geographic region, resource level, and volume of patients (high, medium, and low). We randomly allocated hospitals within a matched pair to either the HITSystem (intervention; n=3) or standard of care (control; n=3). A random number generator was used to assign …

Automated Real-Time Collection Of Pathogen-Specific Diagnostic Data: Syndromic Infectious Disease Epidemiology, Lindsay Meyers, Christine C. Ginocchio, Aimie N. Faucett, Frederick S. Nolte, Per H. Gesteland, Amy Leber, Diane Janowiak, Virginia Donovan, Jennifer Dien Bard, Silvia Spitzer, Kathleen A. Stellrecht, Hossein Salimnia, Rangaraj Selvarangan, Stefan Juretschko, Judy A. Daly, Jeremy C. Wallentine, Kristy Lindsey, Franklin Moore, Sharon L. Reed, Maria Aguero-Rosenfeld, Paul D. Fey, Gregory A. Storch, Steve J. Melnick, Christine C. Robinson, Jennifer F. Meredith, Camille V. Cook, Robert K. Nelson, Jay D. Jones, Samuel V. Scarpino, Benjamin M. Althouse, Kirk M. Ririe, Bradley A. Malin, Mark A. Poritz

Manuscripts, Articles, Book Chapters and Other Papers

© Lindsay Meyers, Christine C Ginocchio, Aimie N Faucett, Frederick S Nolte, Per H Gesteland, Amy Leber, Diane Janowiak,.

Background: Health care and public health professionals rely on accurate, real-time monitoring of infectious diseases for outbreak preparedness and response. Early detection of outbreaks is improved by systems that are comprehensive and specific with respect to the pathogen but are rapid in reporting the data. It has proven difficult to implement these requirements on a large scale while maintaining patient privacy.

Objective: The aim of this study was to demonstrate the automated export, aggregation, and analysis of infectious disease diagnostic test …