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Full-Text Articles in Medical Specialties
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
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 …
The Effect Of Lowering Public Insurance Income Limits On Hospitalizations For Low-Income Children., Jessica L. Bettenhausen, Matt Hall, Jeffrey D. Colvin, Henry T. Puls, Paul J. Chung
The Effect Of Lowering Public Insurance Income Limits On Hospitalizations For Low-Income Children., Jessica L. Bettenhausen, Matt Hall, Jeffrey D. Colvin, Henry T. Puls, Paul J. Chung
Manuscripts, Articles, Book Chapters and Other Papers
Background and objectives: Thirty million children are currently covered by public insurance; however, the future funding and structure of public insurance are uncertain. Our objective was to determine the number, estimated costs, and demographic characteristics of hospitalizations that would become ineligible for public insurance reimbursement under 3 federal poverty level (FPL) eligibility scenarios.
Methods: In this retrospective cohort study using the 2014 State Inpatient Databases, we included all pediatric (age
Results: In 775 460 publicly reimbursed hospitalizations in 14 states, reductions in eligibility limits to 300%, 200%, or 100% of the FPL would have resulted in large numbers of newly …