Evidence map›Paper›PMID 35787275›Full record

ArticleBMC nursing2022

Experiences and perceptions of nurses participating in an interprofessional, videoconference-based educational programme on concurrent mental health and substance use disorders: a qualitative study.

Gabrielle Chicoine, José Côté, Jacinthe Pepin, Louise Boyer, Geneviève Rouleau, Didier Jutras-Aswad

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. The intersection between logical empiricism and qualitative nursing research: a post-structuralist analysis.International journal of qualitative studies on health and well-being · 2024
    Review
  4. Article
  5. Article
  6. Article
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

6 authors at 2 institutions in 1 country.

Gabrielle ChicoineFaculty of Nursing, Université de Montréal, Montreal, Quebec (QC), Canada. gabrielle.chicoine@umontreal.ca.ORCID https://orcid.org/0000-0003-3179-5806
José CôtéFaculty of Nursing, Université de Montréal, Montreal, Quebec (QC), Canada.ORCID https://orcid.org/0000-0002-0617-2861
Jacinthe PepinFaculty of Nursing, Université de Montréal, Montreal, Quebec (QC), Canada.ORCID https://orcid.org/0000-0002-5480-2610
Louise BoyerFaculty of Nursing, Université de Montréal, Montreal, Quebec (QC), Canada.
Geneviève RouleauResearch Chair on Innovative Nursing Practices, Faculty of Nursing, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-1093-6577
Didier Jutras-AswadUniversité de Montréal Hospital Research Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-8474-508X
Université de Montréal · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with co-occurring mental health and substance use disorders (i.e., concurrent disorders) have complex healthcare needs, which can be challenging for nurses to manage. Providing optimal care for this subpopulation requires nurses to develop high-level competencies despite limited resources at their disposal and the isolated settings in which many of them work. The Extension for Healthcare Community Outcomes (ECHO®) is a promising collaborative learning and capacity building model that uses videoconference technology to support and train healthcare professionals in the management of complex and chronic health conditions. The aim of this study was to explore the experiences and perceptions of nurses participating in a Canadian ECHO programme on concurrent disorders about the competencies they developed and used in their clinical practice, and which factors have influenced this process.

methodsThe study was qualitative, guided by an interpretive description approach. Individual semi-structured interviews were held with ten nurses who had participated in the programme between 2018 and 2020. A thematic analysis was conducted iteratively using an inductive approach to progressive data coding and organization.

resultsFour themes and eighteen sub-themes were identified. During their participation in ECHO, the nurses perceived as having further developed eight clinical nursing competencies. Nurses viewed ECHO as a unique opportunity to open themselves to their peers' experiences and reflect on their own knowledge. Learning from experts in the field of concurrent disorders helped them to build their confidence in managing complex clinical situations. The nurses' sense of belonging to a community further enhanced their engagement in the programme, and learning was facilitated through the programme's interprofessional environment. Nevertheless, the lack of contextualized educative content linked to local realities, the limited resources in concurrent disorders, and time constraints were experienced as factors limiting competency development.

conclusionsECHO is a promising alternative to conventional, in-person continuing education programmes to improve the development of advanced competencies among nurses providing care to individuals with chronic and complex health conditions. These findings can inform clinicians, educators, researchers, and decision makers who are developing, implementing, evaluating, and escalating future educational interventions in the field of CDs.

Indexed as

CompetenciesCompetency developmentContinuing educationCo-occurring disordersInterpretive descriptionProject ECHOVirtual communities

Identifiers

PMID35787275
PMCPMC9251915
OpenAlexW4283818795

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.