Evidence map›Paper›PMID 26445492›Full record

ArticleBMC health services research2015

Using the theory of planned behaviour to model antecedents of surgical checklist use: a cross-sectional study.

Anna C Mascherek, Katrin Gehring, Paula Bezzola, David L B Schwappach

Abstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

4 authors.

Anna C MascherekPatient Safety Switzerland, Asylstrasse 77, 8032, Zurich, Switzerland. mascherek@patientensicherheit.ch.
Katrin GehringPatient Safety Switzerland, Asylstrasse 77, 8032, Zurich, Switzerland. gehring@patientensicherheit.ch.
Paula BezzolaPatient Safety Switzerland, Asylstrasse 77, 8032, Zurich, Switzerland. bezzola@patientensicherheit.ch.
David L B SchwappachPatient Safety Switzerland, Asylstrasse 77, 8032, Zurich, Switzerland. schwappach@patientensicherheit.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompliance with surgical checklist use remains an obstacle in the context of checklist implementation programs. The theory of planned behaviour was applied to analyse attitudes, perceived behaviour control, and norms as psychological antecedents of individuals' intentions to use the checklist.

methodsA cross-sectional survey study with staff (N = 866) of 10 Swiss hospitals was conducted in German and French. Group mean differences between individuals with and without managerial function were computed. Structural equation modelling and confirmatory factor analysis was applied to investigate the structural relation between attitudes, perceived behaviour control, norms, and intentions.

resultsSignificant mean differences in favour of individuals with managerial function emerged for norms, perceived behavioural control, and intentions, but not for attitudes. Attitudes and perceived behavioural control had a significant direct effect on intentions whereas norms had not.

conclusionsIndividuals with managerial function exhibit stronger perceived behavioural control, stronger norms, and stronger intentions. This could be applied in facilitating checklist implementation. The structural model of the theory of planned behaviour remains stable across groups, indicating a valid model to describe antecedents of intentions in the context of surgical checklist implementation.

Indexed as

ChecklistGeneral SurgeryModels, OrganizationalAdultAttitudeCross-Sectional StudiesFemaleHumansIntentionMaleMedical ErrorsMiddle AgedSurgery Department, HospitalSurveys and QuestionnairesSwitzerland

Identifiers

PMID26445492
PMCPMC4596358

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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.