Evidence map›Paper›PMID 19615467›Full record

ReviewJournal of biomedical informatics2010

The technology acceptance model: its past and its future in health care.

Richard J Holden, Ben-Tzion Karsh

3 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of biomedical informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 799 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
799citing papers in PubMed, 11 pooled it
89.0field-weighted citation impact, top 1% of its field
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.

NCT04187092 nacompletednot on this mapstarted 2020, after this paper: background citation

Knee Biofeedback Rehabilitation Interface for Game-based Home Therapy ("KneeBRIGHT") Phase II

TypeinterventionalSponsorUniversity of VirginiaRan2020 to 2021Enrolled38ConditionsOsteo Arthritis KneeArmsKneeBright Group, Standard Rehabilitation group
NCT06867081 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Effectiveness of a Customized Digital Platform to Increase Coordination of Care and Uptake of Evidence-based Practices: a Protocol for a Stepped-wedge Cluster Randomized Trial in Quebec

TypeinterventionalSponsorCentre for Interdisciplinary Research in Rehabilitation of Greater MontrealRan2025 to 2029Enrolled962ConditionsAquired Brain Injury, Traumatic Brain Injuries, Stroke, Cardiovascular DiseasesArmsThe intervention will be the BRILLIANT Platform, an online platform which provides five Modules aimed at increasing coordination of care and direct rehabilitation time
NCT07390071 narecruitingnot on this mapstarted 2025, after this paper: background citation

Multimodal Telerehabilitation in Patients Undergoing CAR-T Cell Immunotherapy

TypeinterventionalSponsorUniversity of UtahRan2025 to 2029Enrolled40ConditionsLymphoma, Myeloma, Cytokine Release Syndrome, Immune Effector Cell Associated Neurotoxicity SyndromeArmsHome Automated Telemanagement (HAT) Patient Unit
3 · Its place in the literature

Who cites it

799 citing papers in PubMed, 11 syntheses or guidelines pooled it, 2,565 citations in OpenAlex.

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739 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Richard J HoldenDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Ben-Tzion Karsh
University of Wisconsin–Madison · US

Funding

POPULATION-BASED HEALTH SERVICES RESEARCH TRAININGT32HS000083 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI SMITH, MAUREEN A · 1998 to 2012
$2.0M
Institutional Clinical and Translational Science Award (UW-Madison)(TL1)TL1RR025013 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$1.1M
The Value of CPOE in Pediatric Inpatient Units and Its Impact on Safety and WorkR01LM008923 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI KARSH, BEN-TZION · 2007 to 2008
$1.0M
Bar Coding Technology and Patient and Employee SafetyR01HS013610 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI KARSH, BEN-TZION · 2003 to 2006
$162k
AHRQ HHS R01 HS013610AHRQ HHS T32 HS000083-11NCRR NIH HHS TL1 RR025013NLM NIH HHS R01 LM008923
6 · The paper itself

Abstract

Increasing interest in end users' reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods.

Indexed as

AlgorithmsAttitude to ComputersBiomedical TechnologyDiffusion of InnovationHealth Services ResearchHospital Information SystemsHumansMedical InformaticsMedical Laboratory ScienceMedical Records Systems, ComputerizedPubMed

Identifiers

PMID19615467
PMCPMC2814963
OpenAlexW2059146912

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.