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Record W7065859755

Facteurs prédictifs de la santé psychologique au travail des gestionnaires du réseau de la santé et des services sociaux en contexte de gestion multisite

2023· other· fr· W7065859755 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2023
Typeother
Languagefr
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)PublicsVenPrejudice (legal term)
DOInot available

Abstract

fetched live from OpenAlex

« Cette étude s'intéresse à la situation des cadres du réseau de la santé et des services sociaux (RSSS) québécois ; corps d'emploi qui a été grandement affecté par les changements imposés par la mise en application de la Loi 10 (Loi modifiant l'organisation et la gouvernance du réseau de la santé et des services sociaux). Parmi ces changements figure l'augmentation importante de cadres exerçant en contexte de gestion multisite, c'est-à-dire avec des employés à charge répartis dans plusieurs installations. Cette recherche vise à déterminer les facteurs prédictifs de la (SPT) des cadres du secteur de la santé et des services sociaux qui exercent en contexte multisite. Les hypothèses de recherche soutiennent que chacune des variables indépendantes (le sens du travail, la justice organisationnelle et le soutien organisationnel perçu) entretiennent une relation positive et significative avec le bien-être psychologique au travail (BEPT) et inversement entretiennent une relation négative significative avec la détresse psychologique au travail (DPT). Pour répondre aux hypothèses émises, une recherche de nature quantitative a été privilégiée avec un devis de recherche corrélationnel confirmatoire utilisant les échelles de mesure de Gilbert et al. (2011), de Colquitt (2001), de Quenneville et al. (2010) ainsi que l'adaptation française de l'échelle de May et al. (2004). Au total, 241 participants ont répondu à un questionnaire électronique sécurisé, de façon confidentielle. Les données recueillies ont été analysées à l'aide du logiciel SPSS pour valider la présence de corrélations et effectuer des régressions linéaires multiples permettant d'identifier les facteurs prédictifs de la santé psychologique au travail. Ces analyses ont permis d'établir une relation positive significative entre le BEPT et chacune des variables indépendantes soit le sens du travail, la justice organisationnelle et le soutien organisationnel perçu. Ces mêmes relations étaient présentes, de façon négative, avec la DPT. À la lumière des analyses effectuées, le sens du travail et la justice distributive semblent être les facteurs les plus susceptibles de prédire le BEPT. De simples mesures comme : valoriser l'utilité sociale du travail, augmenter le ratio contribution/rétribution via des remerciements, etc. ; pourraient permettre aux dirigeants du RSSS d'agir positivement sur la SPT des cadres.-- Mot(s) clé(s) en français : santé psychologique au travail, bien-être psychologique au travail, détresse psychologique au travail, sens du travail, justice organisationnelle, soutien organisationnel perçu, gestionnaires, gestion multisite, réseau de la santé et des services sociaux. »-- \n« This study focuses on the situation of managers in Quebec's health and social services network (RSSS); a job category that has been greatly affected by the changes imposed by the application of Bill 10 (an Act to amend the organization and governance of the health and social services network). These changes include a significant increase in the number of managers working in multisite management, with dependent employees spread across several facilities. The aim of this research is to determine the predictive factors of the psychological health at work of managers in the health and social services sector who work in a multisite context. The research hypotheses support that each of the independent variables (meaning of work, organizational justice and perceived organizational support) have a positive and significant relationship with psychological well-being at work and conversely have a significant negative relationship with psychological distress at work. To respond to the hypotheses put forward, quantitative research was preferred with a confirmatory correlational research design using the measurement scales of Gilbert et al. (2011), Colquitt (2001), Quenneville et al. (2010) and the french adaptation of the May et al (2004) scale. A total of 241 participants completed a secure, confidential electronic questionnaire. The data collected was analyzed using SPSS software to validate the presence of correlations and to perform multiple linear regressions in order to identify the predictive factors of psychological health at work. These analyzes established a significant positive relationship between psychological well-being at work and each of the independent variables, meaning of work, organizational justice and perceived organizational support. These same relationships were present, negatively, with psychological distress at work. In light of the analyses performed, meaning of work and distributive justice appear to be the factors most likely to predict psychological well-being at work. Simple measures such as: enhancing the social usefulness of the work, increasing the contribution/retribution ratio through acknowledgements, etc., could enable RSSS managers to have a positive impact on the psychological health at work of managers.-- Mot(s) clé(s) en anglais : psychological health at work, psychological well-being at work, psychological distress at work, meaning of work, organizational justice, perceived organizational support, administrator, multisite management, health and social services network. »--

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.249
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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