Reports Summarize Electronic Medical Records Study Results from Mathematica (A Method for Measuring the Effect of Certified Electronic Health Record Technology On Childhood Immunization Status Scores Among Medicaid Managed Care Network Providers)

2020 NOV 18 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Information Technology - Electronic Medical Records have been published. According to news reporting originating in Woodlawn, United States, by NewsRx journalists, research stated, “To provide a methodology for estimating the effect of U.S.-based Certified Electronic Health Records Technology (CEHRT) implemented by primary care physicians (PCPs) on a Healthcare Effectiveness Data and Information Set (HEDIS) measure for childhood immunization delivery. This study integrates multiple health care administrative data sources from 2010 through 2014, analyzed through an interrupted time series design and a hierarchical Bayesian model.”

The news reporters obtained a quote from the research from Mathematica, “We compared managed care physicians using CEHRT to propensity-score matched comparisons from network physicians who did not adopt CEHRT. Inclusion criteria for physicians using CEHRT included attesting to the Childhood Immunization Status clinical quality measure in addition to meeting ‘Meaningful Use’ (MU) during calendar year 2013. We used a first-presence patient attribution approach to develop provider-specific immunization scores. We evaluated 147 providers using CEHRT, with 147 propensity-score matched providers selected from a pool of 1253 PCPs practicing in Maryland. The estimate for change in odds of increasing immunization rates due to CEHRT was 1.2 (95% credible set, 0.88-1.73). We created a method for estimating immunization quality scores using Bayesian modeling. Our approach required linking separate administrative data sets, constructing a propensity-score matched cohort, and using first-presence, claims-based childhood visit information for patient attribution. In the absence of integrated data sets and precise and accurate patient attribution, this is a reusable method for researchers and health system administrators to estimate the impact of health information technology on individual, provider-level, process-based, though outcomes-focused, quality measures.”

According to the news reporters, the research concluded: “This research has provided evidence for using Bayesian analysis of propensity-score matched provider populations to estimate the impact of CEHRT on outcomes-based quality measures such as childhood immunization delivery.”

This research has been peer-reviewed.

For more information on this research see: A Method for Measuring the Effect of Certified Electronic Health Record Technology On Childhood Immunization Status Scores Among Medicaid Managed Care Network Providers. Journal of Biomedical Informatics, 2020;110:103567. Journal of Biomedical Informatics can be contacted at: Academic Press Inc Elsevier Science, 525 B St, Ste 1900, San Diego, CA 92101-4495, USA. (Elsevier - www.elsevier.com; Journal of Biomedical Informatics - http://www.journals.elsevier.com/journal-of-biomedical-informatics/)

Our news correspondents report that additional information may be obtained by contacting Paul J. Messino, Mathematica, 7102 Ambassador Rd, Woodlawn, MD 21244, United States. Additional authors for this research include Hadi Kharrazi, Harold Lehmann and Julia M. Kim.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.jbi.2020.103567. 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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