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Enregistrement W4377086696 · doi:10.1016/j.ijnsa.2023.100133

Nurses’ work, work psychology, and the evolution & devolution of care provision in nursing homes: A scoping review

2023· review· en· W4377086696 sur OpenAlexafffund
Cal Stewart, Whitney Berta, Audrey Laporte, Raisa Deber, Andrea Baumann

Notice bibliographique

RevueInternational Journal of Nursing Studies Advances · 2023
Typereview
Langueen
DomaineHealth Professions
ThématiqueGeriatric Care and Nursing Homes
Établissements canadiensMcMaster UniversityUniversity of TorontoPublic Health Ontario
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésCINAHLNursingWork (physics)BurnoutScopusHealth careMEDLINEMedicinePsychologyPolitical sciencePsychological intervention

Résumé

récupéré en direct d'OpenAlex

Background: Societal aging is exerting profound impacts on providers of long-term care. Nurses provide much of the direct care in the long-term care sector, and they increasingly provide unit- and facility-level leadership and fill top administrative and clinical roles.The work health and quality of work life of long-term care nurses are emergent concerns and the foci of research across multiple disciplines. Objectives: To enhance our understanding of factors influencing long-term care nurses' work health and quality of work life, we summarize the findings of disparate studies across diverse disciplines, time, and jurisdictions. Eligibility criteria: No restrictions were placed on study date, design, or country. Searches were restricted to English language only or translated studies. Included studies reported associations and relationships between/amongst nurses' work (role and work design), work environments, work attitudes, and work outcomes. Published peer-reviewed studies and reviews were included, as were reports. Editorials and opinion pieces were excluded. The search included publications up to March 2022. Sources of evidence: Medline, CINAHL, PsychINFO, EMBASE, Scopus, PSNet. Charting methods: Data abstraction from full-text articles. Results: The evolution of long-term care nurses' work to include both medical and administrative responsibilities has generally not been managed well, resulting in persistent role ambiguity, job dissatisfaction, and burnout. Nurses are concerned about their capacity to provide resident care and the adequacy of their preparation. Their work environments are under-resourced, and they are at high risk for workplace injury or violence. Supervisory and organizational support can be protective of negative aspects of nurses' work environments. Supervisory support can improve the immediate work environment, assist nurses in fulfilling their roles, and afford greater role clarity, and supervisors can influence their nursing staff's perceptions of the work safety and the value that their organization places on them. Organizational support can reduce work stress, enhance feelings of self-worth, and mitigate some of the self-stigmatization that influences long-term care nurses' attitudes toward themselves and their work, which influences work outcomes, including job performance and quality of resident care. Conclusions: Work stress, burnout, increased turnover, decreased morale and work motivation, increased health and safety concerns, and decreases in job satisfaction accompanied by self-stigmatization are all indicators of a system that has failed nurses, other long-term care staff, and nursing home residents. We consider the implications of our findings for enhancing the work health and quality of life of nurses working in long-term care and identify gaps in knowledge about their psychological health that merit future study. Tweetable Abstract: The long-term care sector is failing nurses globally. This review is a step toward understanding how we can improve the work psychology, including work-related psychological health, of nurses in long-term care.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,960
Score d'incertitude au seuil0,972

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,146
Tête enseignante GPT0,591
Écart entre enseignants0,445 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2023
Routes d'admission2
Résumé présentoui

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