Researchers from University of Pittsburgh Provide Details of New Studies and Findings in the Area of Managed Care (Empiric Segmentation of High-risk Patients: a Structured Literature Review): Managed Care

2022 MAR 22 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on Managed Care are presented in a new report. According to news reporting originating from Pittsburgh, Pennsylvania, by NewsRx correspondents, research stated, “Empiric segmentation is a rapidly growing, learning health system approach that uses large health care system data sets to identify groups of high-risk patients who may benefit from similar interventions. We aimed to review studies that used data-driven approaches to segment high risk patient populations and describe how their designs and findings can inform health care leaders who are interested in applying similar techniques to their patient populations.”

Financial supporters for this research include US Department of Veterans Affairs, US Department of Veterans Affairs.

Our news editors obtained a quote from the research from the University of Pittsburgh, “Structured literature review. We searched for original research articles published since 2000 that identified high-risk adult patient populations and applied data-driven analyses to segment the population. Two reviewers independently extracted study population source and criteria for high-risk designation, segmentation method, data types included, model selection criteria, and model results from the identified studies. Our search identified 224 articles, 12 of which met criteria for full review. Of these, 8 segmented high-risk patients and 4 segmented diagnoses without assigning patients to unique groups. Studies segmenting patients more often had clinically interpretable results. Common groups were defined by high prevalence of diabetes, cardiovascular disease, psychiatric conditions including substance use disorders, and neurologic disease (eg, stroke). Few studies incorporated patients’ functional or social factors. Resulting patient and diagnosis clusters varied in ways closely linked to the model inputs, patient population inclusion criteria, and health care system context. Empiric segmentation can yield clinically relevant groups of patients with complex medical needs.”

According to the news editors, the research concluded: “Segmentation results are context dependent, suggesting the need for careful design and interpretation of segmentation models to ensure that results can inform clinical care and program design in the target setting.”

This research has been peer-reviewed.

For more information on this research see: Empiric Segmentation of High-risk Patients: a Structured Literature Review. The American Journal of Managed Care, 2022;28(2). The American Journal of Managed Care can be contacted at: Managed Care & Healthcare Communications Llc, 666 Plainsboro Rd, Ste 300, Plainsboro, NJ 08536, USA.

The news editors report that additional information may be obtained by contacting Jonathan Arnold, University of Pittsburgh, Division of General Internal Medicine, 200 Lothrop St, Pittsburgh, PA 15213, United States. Additional authors for this research include Ann-Marie Rosland, Joshua Thorpe and Janke Mains-Mason.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.37765/ajmc.2022.88752. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)