Evidence map›Paper›PMID 26358037›Full record

ArticleBMC health services research2015

Understanding the discriminant factors that influence the adoption and use of clinical communities of practice: the ECOPIH case.

David Lacasta Tintorer, Souhel Flayeh Beneyto, Josep Maria Manresa, Pere Torán-Monserrat, Ana Jiménez-Zarco, Joan Torrent-Sellens, Francesc Saigí-Rubió

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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Do People Trust in Robot-Assisted Surgery? Evidence from Europe.International journal of environmental research and public health · 2021
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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

7 authors.

David Lacasta TintorerCentre d'Atenció Primària la Salut, Institut Català de la Salut, Badalona, Spain. lacasta.david@gmail.com.
Souhel Flayeh BeneytoCentre d'Atenció Primària la Salut, Institut Català de la Salut, Badalona, Spain. souhelflayeh@gmail.com.
Josep Maria ManresaUnitat de Suport a la Recerca Metropolitana Nord, IDIAP Jordi Gol, Santa Coloma de Gramenet, Spain. jmanresa@idiapjgol.info.
Pere Torán-MonserratUnitat de Suport a la Recerca Metropolitana Nord, IDIAP Jordi Gol, Santa Coloma de Gramenet, Spain. ptoran.bnm.ics@gencat.cat.
Ana Jiménez-ZarcoEconomics and Business Studies and Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, Barcelona, Spain. ajimenezz@uoc.edu.
Joan Torrent-SellensEconomics and Business Studies and Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, Barcelona, Spain. jtorrent@uoc.edu.
Francesc Saigí-RubióDepartment of Health Sciences and Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, Barcelona, Spain. fsaigi@uoc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study presented in this article is to analyse the discriminant factors that have an influence on the use of communities of practice by primary and specialist healthcare professionals (physicians and nurses) for information sharing. Obtaining evidence from an ex-ante analysis to determine what factors explain healthcare professionals' clinical community of practice use allows aspects of its use to be identified.

methodsA theoretical model based on a modified technology acceptance model was used as the analysis tool, and a discriminant analysis was performed. An ad-hoc questionnaire was designed and sent to a study population of 357 professionals from the Badalona-Sant Adrià de Besòs Primary Care Service in Catalonia, Spain, which includes nine primary care centres and three specialist care centres. The study sample was formed by the 166 healthcare professionals who responded.

resultsThe results revealed three main drivers for engagement in a CoP: First, for the whole sample, perceived usefulness for reducing costs associated with clinical practice was the factor with the greatest discriminant power that distinguished between users and non-users, followed by perceived usefulness for improving clinical practice quality, and lastly habitual social media website and application use. Turning to the two sub-samples of healthcare professions (physicians and nurses, respectively), we saw that the usefulness stemming from community of practice use changed. There were differences in the levels of motivation of healthcare professionals with regards to their engagement with CoP. While perceived usefulness for reducing costs associated with clinical practice was the main factor for the physicians, perceived usefulness of the Web 2.0 platform use for communication for improving clinical practice quality and perceived ease of use were the main factors for the nurses.

conclusionsIn the context of communities of practice, the perception of usefulness of Web 2.0 platform use for communication is determined by organisational, technological and social factors. Specifically, the position that professionals have within the healthcare structure and particularly the closer healthcare professionals' activity is to patients and their professional experience of using social networks and ICTs are crucial to explaining the use of such platforms. Public policies promoting Web 2.0 platform use for communication should therefore go beyond the purely technological dimension and consider other professional and social determinants.

Indexed as

Community NetworksDiffusion of InnovationInformation DisseminationAdultAttitude of Health PersonnelFemaleHealth PersonnelHumansMaleMiddle AgedModels, TheoreticalNursesPhysiciansPrimary Health CareSpainSurveys and Questionnaires

Identifiers

PMID26358037
PMCPMC4566431

What OpenQuestion holds

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LicenceCC BY
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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.