Evidence map›Paper›PMID 21622933›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

User perspectives on the usability of a regional health information exchange.

Cynthia S Gadd, Yun-Xian Ho, Cather Marie Cala, Dana Blakemore, Qingxia Chen, Mark E Frisse, Kevin B Johnson

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. 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. An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  2. Pooled it
  3. Article
  4. Impact of Provider Prior Use of HIE on System Complexity, Performance, Patient Care, Quality and System Concerns.Information systems frontiers : a journal of research and innovation · 2022
    Article
  5. Hospital adoption of multiple health information exchange approaches and information accessibility.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  6. Article
  7. Article
  8. Article
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  10. Consolidating CCDs from multiple data sources: a modular approach.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  11. Article
  12. Implications for informatics given expanding access to care for Veterans and other populations.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  13. Article
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  15. Article
  16. Article
  17. Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  18. Article
  19. Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012
    Article
  20. Push and pull: physician usage of and satisfaction with health information exchange.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    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

7 authors.

Cynthia S GaddDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee 37203, USA. cindy.gadd@vanderbilt.edu
Yun-Xian Ho
Cather Marie Cala
Dana Blakemore
Qingxia Chen
Mark E Frisse
Kevin B Johnson

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
NCRR NIH HHS 1 UL1 RR024975NCRR NIH HHS UL1 RR024975PHS HHS 290-04-0006
6 · The paper itself

Abstract

objectiveWe assessed the usability of a health information exchange (HIE) in a densely populated metropolitan region. This grant-funded HIE had been deployed rapidly to address the imminent needs of the patient population and the need to draw wider participation from regional entities.

designWe conducted a cross-sectional survey of individuals given access to the HIE at participating organizations and examined some of the usability and usage factors related to the technology acceptance model. MEASUREMENTS: We probed user perceptions using the Questionnaire for User Interaction Satisfaction, an author-generated Trust scale, and user characteristic questions (eg, age, weekly system usage time).

resultsOverall, users viewed the system favorably (ratings for all usability items were greater than neutral (one-sample Wilcoxon test, p<0.0014, Bonferroni-corrected for 35 tests). System usage was regressed on usability, trust, and demographic and user characteristic factors. Three usability factors were positively predictive of system usage: overall reactions (p<0 0.01), learning (p<0.05), and system functionality (p<0.01). Although trust is an important component in collaborative relationships, we did not find that user trust of other participating healthcare entities was significantly predictive of usage. An analysis of respondents' comments revealed ways to improve the HIE.

conclusionWe used a rapid deployment model to develop an HIE and found that perceptions of system usability were positive. We also found that system usage was predicted well by some aspects of usability. Results from this study suggest that a rapid development approach may serve as a viable model for developing usable HIEs serving communities with limited resources.

Indexed as

Consumer BehaviorElectronic Health RecordsInformation DisseminationMedical Record LinkageUser-Computer InterfaceAdultAgedAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedTennesseeTrust

Identifiers

PMID21622933
PMCPMC3168324

What OpenQuestion holds

Textmetadata
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.