| Title |
Using the theory of planned behaviour to model antecedents of surgical checklist use: a cross-sectional study
|
|---|---|
| Published in |
BMC Health Services Research, October 2015
|
| DOI | 10.1186/s12913-015-1122-7 |
| Pubmed ID | |
| Authors |
Anna C. Mascherek, Katrin Gehring, Paula Bezzola, David L. B. Schwappach |
| Abstract |
Compliance 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. A 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. Significant 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. Individuals 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 21% |
| Researcher | 10 | 14% |
| Student > Bachelor | 7 | 10% |
| Student > Postgraduate | 5 | 7% |
| Other | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 20 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 21% |
| Nursing and Health Professions | 10 | 14% |
| Business, Management and Accounting | 6 | 8% |
| Psychology | 5 | 7% |
| Social Sciences | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2015.
All research outputs
#14,698,802
of 22,829,683 outputs
Outputs from BMC Health Services Research
#5,305
of 7,638 outputs
Outputs of similar age
#151,698
of 278,126 outputs
Outputs of similar age from BMC Health Services Research
#89
of 131 outputs
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