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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedRodriguez PJ, Ward ZJ, Long MW
Applied methods for estimating transition probabilities from electronic health record data.
This study examined the usefulness of electronic health records (EHRs) in estimating transition probabilities for state-transition models. No guidelines exist on appropriate methods. The authors used 3 potential methods to estimate transition probabilities for EHR data, using pediatric eating disorders (EDs) as a case study. They mapped diagnoses to 3 ED health states: anorexia nervous, bulimia nervosa, and other specified feeding or eating disorder using data from PEDsnet, which includes 8 US children’s hospitals. They used 3 approaches: simple first-last proportions, a multistate Markov (MSM) model, and independent survival models. The first-last proportion approach estimated higher probabilities of remaining the same health state, while the other two approaches estimated higher probabilities of transitioning to a different health state. Published literature differed substantially from these estimates. Further research is needed to improve methods for using EHR data to inform transition probabilities.
AHRQ-funded; HS013853.
Citation: Rodriguez PJ, Ward ZJ, Long MW .
Applied methods for estimating transition probabilities from electronic health record data.
Med Decis Making 2021 Feb;41(2):143-52. doi: 10.1177/0272989x20985752..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Keenan GM, Wilkie DJ
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
This commentary introduces a virtual edition of IJNK, hosted on the Journal’s website. It includes six articles published in the last 20 years that provide a snapshot of efforts to integrate one or more of the standardized terminologies, NANDA-I, NOC, NIC (NNN), into electronic health records (EHRs).
AHRQ-funded; HS015054.
Citation: Keenan GM, Wilkie DJ .
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
Int J Nurs Knowl 2014 Jun;25(2):68-9. doi: 10.1111/2047-3095.12039..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies