Researchers from Brigham and Women’s Hospital Report Details of New Studies and Findings in the Area of Managed Care (Comparison of Ehr Data-completeness In Patients With Different Types of Medical Insurance Coverage In the United States): Managed Care

2023 OCT 11 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily -- Data detailed on Managed Care have been presented. According to news originating from Boston, Massachusetts, by NewsRx correspondents, research stated, “Prior studies have demonstrated that misclassification of study variables due to electronic health record (EHR)-discontinuity can be mitigated by restricting EHR- based analyses to subjects with high predicted EHR-continuity based on a simple algorithm. In this study, we compared EHR continuity in populations covered by Medicare, Medicaid, or commercial insurance.”

Financial support for this research came from National Institutes of Health (NIH) - USA.

Our news journalists obtained a quote from the research from Brigham and Women’s Hospital, “Using claims-linked EHRs from a multicenter network in Massachusetts, including Medicare (MA EHR-Medicare cohort) and Medicaid (MA EHR-Medicaid cohort) claims data; and TriNetX (TriNetX cohort) claims-linked EHR data from 11 US- based healthcare organizations, we assessed (1) EHR-continuity quantified by proportion of encounters captured by EHR (capture proportion (CP)); (2) area under receiver operating curve (AUROC) of previously validated model to identify patients with high EHR-continuity (CP = 0.6); (3) misclassification of 40 patient characteristics, quantified by average standardized absolute mean difference (ASAMD). Study participants were = 65 years (Medicare) or = 18 years (Medicaid, TriNetX) with = 365 days of continuous insurance enrollment overlapping with an EHR encounter. We found that the mean CP was 0.30, 0.18, and 0.19 and AUROC of the prediction model to identify patients with high EHR-continuity was 0.92, 0.89, and 0.77 in the MA EHR-Medicare, MA EHR-Medicaid, and TriNetX cohorts, respectively. Restricting to patients with predicted EHR-continuity percentile of top 20%, 50%, and 50% in MA EHR-Medicare, MA EHR-Medicaid, and TriNetX cohorts resulted in acceptable levels of misclassification (ASAMD < 0.1).”

According to the news editors, the research concluded: “Using a prediction model to identify cohorts with high EHR-continuity can improve validity, but cutoffs to achieve this goal vary by population.”

This research has been peer-reviewed.

For more information on this research see: Comparison of Ehr Data-completeness In Patients With Different Types of Medical Insurance Coverage In the United States. Clinical Pharmacology & Therapeutics, 2023. Clinical Pharmacology & Therapeutics can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Nature Publishing Group - http://www.nature.com/; Clinical Pharmacology & Therapeutics - http://www.nature.com/clpt/)

The news correspondents report that additional information may be obtained from Kueiyu Joshua Lin, Harvard Medical School, Brigham and Women’s Hospital, Dept. of Medicine, Div Pharmacoepidemiol & Pharmacoecon, Boston, MA 02115, United States. Additional authors for this research include Priyanka Anand, Yichi Zhang, Yinzhu Jin, Shirley V. Wang, Joyce Lii, Jun Liu and David Merola.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1002/cpt.3027. 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.

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