Protecting children during child protection research using administrative data

Part of the Scottish Executive Child Protection Review PROTECTING CHILDREN TODAY AND TOMORROW

Protecting patients during clinical research.

Jacqueline Byers is an associate professor at the University of Central Florida in Orlando, Fla. She has served on bioethics committees and institutional review boards for more than a decade. ment and you realize that the patient or family is not aware that the patient could have been randomized to placebo (no treatment). In this article, I discuss ethical and statutory obligations for protecti...

Using Aggregate Administrative Data in Social Policy Research

Many researchers are reluctant to use aggregate data in program evaluation and other policy relevant research. Aggregate data refers to data on individuals that have been averaged by year, by geographic area, by service agency, or in some other way. For example, data on the individual earnings of job training participants may be aggregated by year or student test scores may be aggregated by sch...

Identifying and Classifying Children With Chronic Conditions Using Administrative Data

Objective.—To identify and categorize children with chronic health conditions using administrative data. Methods.—The Clinical Risk Groups (CRGs) system is used to classify children, aged 0–18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups— healthy, significant acute, and 7 chronic conditions—and ar...

Sepsis in Canadian children: a national analysis using administrative data

BACKGROUND Severe infection resulting in sepsis is recognized as a leading cause of morbidity and mortality worldwide. The purpose of this study is to use longitudinal, population-based data to report national-level hospital metrics, providing a current assessment of the status of sepsis hospitalizations in Canadian children. METHODS We performed an analysis of previously abstracted data from...