Evidence map›Paper›PMID 22661559›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital.

Richard J Holden, Roger L Brown, Matthew C Scanlon, Ben-Tzion Karsh

Open access · bronzeAbstract read
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 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
10.1field-weighted citation impact, top 2% 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.

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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 77 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Richard J HoldenDepartments of Medicine and Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA. richard.holden@vanderbilt.edu
Roger L Brown
Matthew C Scanlon
Ben-Tzion Karsh
University of Wisconsin–Madison · USMedical College of Wisconsin · USVanderbilt University · US

Funding

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 1 R01 HS013610AHRQ HHS R01 HS013610NLM NIH HHS 1 R01 LM008923NLM NIH HHS R01 LM008923
6 · The paper itself

Abstract

objectiveTo identify predictors of nurses' acceptance of bar coded medication administration (BCMA).

designCross-sectional survey of registered nurses (N=83) at an academic pediatric hospital that recently implemented BCMA.

methodsSurveys assessed seven BCMA-related perceptions: ease of use; usefulness for the job; social influence from non-specific others to use BCMA; training; technical support; usefulness for patient care; and social influence from patients/families. An all possible subset regression procedure with five goodness-of-fit indicators was used to identify which set of perceptions best predicted BCMA acceptance (intention to use, satisfaction).

resultsNurses reported a moderate perceived ease of use and low perceived usefulness of BCMA. Nurses perceived moderate-or-higher social influence to use BCMA and had moderately positive perceptions of BCMA-related training and technical support. Behavioral intention to use BCMA was high, but satisfaction was low. Behavioral intention to use was best predicted by perceived ease of use, perceived social influence from non-specific others, and perceived usefulness for patient care (56% of variance explained). Satisfaction was best predicted by perceived ease of use, perceived usefulness for patient care, and perceived social influence from patients/families (76% of variance explained). DISCUSSION: Variation in and low scores on ease of use and usefulness are concerning, especially as these variables often correlate with acceptance, as found in this study. Predicting acceptance benefited from using a broad set of perceptions and adapting variables to the healthcare context.

conclusionSuccess with BCMA and other technologies can benefit from assessing end-user acceptance and elucidating the factors promoting acceptance and use.

Indexed as

Attitude of Health PersonnelElectronic Data ProcessingMedication SystemsPractice Patterns, Nurses'AdolescentAdultCross-Sectional StudiesFemaleHealth Plan ImplementationHospitals, PediatricHumansMaleMiddle AgedMidwestern United StatesNursing Staff, Hospital

Identifiers

PMID22661559
PMCPMC3534453
OpenAlexW165485499

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.