Evidence map›Paper›PMID 41323906›Full record

ArticleFrontiers in psychology2025

Collective efficacy, self-efficacy, and socio-occupational wellbeing: a quasi-experimental study on an intervention based on the development of collective competences in a blended-learning context.

María Lourdes Campos, Axel Bascur

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

María Lourdes CamposDepartment of Psychology, Universidad de La Serena, La Serena, Chile.
Axel BascurDepartment of Psychology, Universidad de La Serena, La Serena, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although innovation in the workplace seeks to improve the productivity and quality of life of members of organizations, the evidence of a low adoption of new strategies and technologies in companies highlights the need to find effective methods for the implementation of these strategies. In this context, the objective of our study is to verify the effect of an intervention with a blended- learning strategy, with a focus on the development of collective competencies, on the variables of self-efficacy, collective efficacy and socio-occupational wellbeing. Method: We employed a quasi-experimental pre-test/post-test design. The study variables were evaluated using a non-probability, purposive sample of 110 workers of a Chilean mining company. The intervention group was composed of voluntary participants, same as the control group, who only completed the evaluations. The intervention was conducted over a four-month period, and consisted in 5 in-person training workshops, in parallel with a complementary, continuously open online courses. The content of the training program focused on improving collective management, group synergy, collaborative problem-solving and communicative strategies. Results: The analysis shows that the collective competences intervention with the blended-learning program had a positive effect on the variables of self-efficacy, collective efficacy, and socio-occupational wellbeing and associated dimensions from the quasi-experimental group. Conclusion: The results of this study suggest that intervention based on the development of collective competences in a blended-learning context have a positive impact in the self-efficacy, collective efficacy and the social wellbeing on workers in the occupational context.

Indexed as

blended-learningcollective efficacyquasi-experimentalself-efficacysocio-occupational wellbeing

Identifiers

PMID41323906
PMCPMC12661165

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Registered trials

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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.