Evidence map›Paper›PMID 22127521›Full record

ArticleJournal of medical systems2012

How are health professionals using health information exchange systems? Measuring usage for evaluation and system improvement.

Joshua R Vest, 'jon Sean Jasperson

Abstract read
In one paragraph

Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Factors associated with nurse well-being in relation to electronic health record use: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  2. Pooled it
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  9. Linking the health data system in the U.S.: Challenges to the benefits.International journal of nursing sciences · 2017
    Review
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  17. The impact of electronic health records on people with diabetes in three different emergency departments.Journal of the American Medical Informatics Association : JAMIA · 2014
    Article
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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

2 authors.

Joshua R VestJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460-8015, USA. jvest@georgiasouthern.edu
'jon Sean Jasperson

Funding

Factors Motivating & Affecting Information Seeking in a Health Information ExchanR21CA138605 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI OHSFELDT, ROBERT L. · 2009 to 2010
$355k
NCI NIH HHS R21 CA138605NCI NIH HHS R21CA138605
6 · The paper itself

Abstract

Health information exchange (HIE) is an avenue to improving patient care and an important priority under the Meaningful Use requirements. However, we know very little about the usage of HIE systems. Understanding how healthcare professionals actually utilize HIE systems will provide practical insights to system evaluation, help guide system improvement, and help organizations assess performance. We developed a novel way of describing professionals' HIE usage from the log files of an operational HIE-facilitating organization. The system employed a webpage-style interface. The screen number, types, and variation served to cluster all sessions in to five categories of HIE usage: minimal usage, repetitive searching, clinical information, mixed information, and demographic information. This method reduced the 1,661 different patterns into five recognizable groups for analysis. Overall, most users engaged with the system in a minimal fashion. In terms of user characteristics, minimal usage was highest among physicians and the highest percentage of clinical information usage was among nurses. Usage also differed by organization with repetitive searching most common in settings with scheduled encounters and uncommon in the faster-paced emergency department. Lastly, usage also varied by timing of the patient encounter. Within a single HIE system, discernible types of users behavior existed and varied across jobs, organizations, and time. This approach relied on objective data and can be replicated. In addition, our approach demonstrates that substantial variation in user behaviors exists beyond the more simplistic measures of adoption/non-adoption or access/no-access applied in previous research. This approach can help leaders and evaluators assess their own and other organizations.

Indexed as

Health PersonnelHumansInformation SystemsQuality of Health CareTime FactorsUser-Computer InterfaceWorkplace

Identifiers

PMID22127521
PMCPMC3402621

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.