Evidence map›Paper›PMID 39375765›Full record

ArticleBMC health services research2024

Clinicians' use of Health Information Exchange technologies for medication reconciliation in the U.S. Department of Veterans Affairs: a qualitative analysis.

Margie E Snyder, Khoa A Nguyen, Himalaya Patel, Steven L Sanchez, Morgan Traylor, Michelle J Robinson, Teresa M Damush, Peter Taber, Amanda S Mixon, Vincent S Fan and 10 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. AI-Based Automation for Medication Reconciliation: Scoping Review.Journal of medical Internet research · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Margie E SnyderCollege of Pharmacy, Purdue University, West Lafayette, IN, USA.
Khoa A NguyenCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Himalaya PatelCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Steven L SanchezCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Morgan TraylorCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Michelle J RobinsonCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Teresa M DamushCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Peter TaberInformation, Decision Enhancement and Analytics Center of Innovation, U.S. Department of Veteran Affairs, Veteran Health Administration, Salt Lake City, UT, USA.
Amanda S MixonGeriatric Research, Education, and Clinical Center, VA Tennessee Valley Healthcare System, Nashville, TN, USA.
Vincent S FanVA Puget Sound Health Care System, Seattle, WA, USA.
April SavoyCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Rachel A DismoreCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Brian W PorterCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Kenneth S BoockvarBirmingham VA Medical Center, Geriatrics Research Education & Clinical Center, Birmingham, AL, USA.
David A HaggstromCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA.
Emily R LockeVA Puget Sound Health Care System, Seattle, WA, USA.
Bryan S GibsonInformation, Decision Enhancement and Analytics Center of Innovation, U.S. Department of Veteran Affairs, Veteran Health Administration, Salt Lake City, UT, USA.
Susan H ByerlyGeriatric Research, Education, and Clinical Center, VA Tennessee Valley Healthcare System, Nashville, TN, USA.
Michael WeinerCenter for Health Information and Communication, Health Services Research and Development Service CIN 13-416, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Richard L. Roudebush VA Medical Center, 1481 West 10th Street (11H), Indianapolis, IN, 46202, USA. mw@cogit.net.
Alissa L Russ-JaraCollege of Pharmacy, Purdue University, West Lafayette, IN, USA.

Funding

HSRD VA IK6 HX002715HSRD VA IK6 HX003907U.S. Department of Veterans Affairs IIR 16-297
6 · The paper itself

Abstract

backgroundMedication reconciliation is essential for optimizing medication use. In part to promote effective medication reconciliation, the Department of Veterans Affairs (VA) invested substantial resources in health information exchange (HIE) technologies. The objectives of this qualitative study were to characterize VA clinicians' use of HIE tools for medication reconciliation in their clinical practice and to identify facilitators and barriers.

methodsWe recruited inpatient and outpatient prescribers (physicians, nurse practitioners, physician assistants) and pharmacists at four geographically distinct VA medical centers for observations and interviews. Participants were observed as they interacted with HIE or medication reconciliation tools during routine work. Participants were interviewed about clinical decision-making pertaining to medication reconciliation and use of HIE tools, and about barriers and facilitators to use of the tools. Qualitative data were analyzed via inductive and deductive approaches using a priori codes.

resultsA total of 63 clinicians participated. Over half (58%) were female, and the mean duration of VA clinical experience was 7 (range 0-32) years. Underlying motivators for clinicians seeking data external to their VA medical center were having new patients, current patients receiving care from an external institution, and clinicians' concerns about possible medication discrepancies among institutions. Facilitators for using HIE software were clinicians' familiarity with the HIE software, clinicians' belief that medication information would be available within HIE, and their confidence in the ability to find HIE medication-related data of interest quickly. Six overarching barriers to HIE software use for medication coordination included visual clutter and information overload within the HIE display; challenges with HIE interface navigation; lack of integration between HIE and other electronic health record interfaces, necessitating multiple logins and application switching; concerns with the dependability of HIE medication information; unfamiliarity with HIE tools; and a lack of HIE data from non-VA facilities.

conclusionsThis study is believed to be the first to qualitatively characterize clinicians' HIE use with respect to medication reconciliation. Results inform recommendations to optimize HIE use for medication management activities. We expect that healthcare organizations and software vendors will be able to apply the findings to develop more effective and usable HIE information displays.

Indexed as

Health Information ExchangeMedication ReconciliationQualitative ResearchUnited States Department of Veterans AffairsAdultAttitude of Health PersonnelElectronic Health RecordsFemaleHumansInterviews as TopicMaleMiddle AgedUnited StatesHealth Information ExchangeHealth Information TechnologyMedical InformaticsMedication ReconciliationPatientSafety

Identifiers

PMID39375765
PMCPMC11460093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.