Evidence map›Paper›PMID 25773129›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Beyond technology acceptance to effective technology use: a parsimonious and actionable model.

Patricia J Holahan, Blake J Lesselroth, Kathleen Adams, Kai Wang, Victoria Church

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. Implementation of a Medication Reconciliation Assistive Technology: A Qualitative Analysis.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
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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

5 authors.

Patricia J HolahanHowe School of Technology Management, Stevens Institute of Technology, Hoboken, NJ, USA pholahan@stevens.edu.
Blake J LesselrothPortland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center; Oregon Health Sciences University, Portland, OR, USA.
Kathleen AdamsPortland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
Kai WangPortland Patient Safety Center of Inquiry, Nursing Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
Victoria ChurchPortland Patient Safety Center of Inquiry, Nursing Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and test a parsimonious and actionable model of effective technology use (ETU).

designCross-sectional survey of primary care providers (n = 53) in a large integrated health care organization that recently implemented new medication reconciliation technology.

methodsSurveys assessed 5 technology-related perceptions (compatibility with work values, implementation climate, compatibility with work processes, perceived usefulness, and ease of use) and 1 outcome variable, ETU. ETU was measured as both consistency and quality of technology use.

resultsCompatibility with work values and implementation climate were found to have differential effects on consistency and quality of use. When implementation climate was strong, consistency of technology use was high. However, quality of technology use was high only when implementation climate was strong and values compatibility was high. This is an important finding and highlights the importance of users' workplace values as a key determinant of quality of use.

conclusionsTo extend our effectiveness in implementing new health care information technology, we need parsimonious models that include actionable determinants of ETU and account for the differential effects of these determinants on the multiple dimensions of ETU.

Indexed as

Attitude of Health PersonnelAttitude to ComputersMedical Informatics ApplicationsPhysicians, Primary CareCross-Sectional StudiesDiffusion of InnovationElectronic Health RecordsHumansMedical History TakingMedical InformaticsMedication ReconciliationModels, TheoreticalPrimary Health CareEffective Technology Use; Technology AcceptanceMedication ReconciliationPatient SafetyTechnology Implementation Effectiveness

Identifiers

PMID25773129
PMCPMC11737399

What OpenQuestion holds

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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.