Older nurses’ experiences of providing direct care in hospital nursing units: a qualitative systematic review
Notice bibliographique
Résumé
BACKGROUND: Most developed countries throughout the world are experiencing an aging nursing workforce as their population ages. Older nurses often experience different challenges then their younger nurse counterparts. With the increase in older nurses relative to younger nurses potentially available to work in hospitals, it is important to understand the experience of older nurses on high paced hospital nursing units. This understanding will lend knowledge to ways of lessening the loss of these highly skilled experienced workers and improve patient outcomes. OBJECTIVES: To identify, evaluate and synthesize the existing qualitative evidence on older nurses' experiences of providing direct care to patients in hospital nursing units. INCLUSION CRITERIA: The review considered studies which included registered nurses 45 years and over who work as direct caregivers in any type of in-patient hospital nursing unit. The phenomenon of interest was the experience of older nurses in providing direct nursing care in any type of in-patient hospital nursing unit (i.e. including but not limited to medical/surgical units, intensive care units, critical care units, perioperative units, palliative care units, obstetrical units, emergency departments and rehabilitative care units). The review excluded studies focussing entirely on enrolled nurses, licensed practical nurses and licensed vocational nurses. TYPES OF STUDIES: Qualitative data including, but not limited to the following methodologies: phenomenology, grounded theory, ethnography, action research and feminist research. METHODS: The databases CINAHL, PubMed, PsycINFO, Embase, AgeLine, Sociological Abstracts and SocINDEX were searched from inception; the search was conducted on October 13, 2017; no date limiters or language limiters were applied. Each paper was assessed by two independent reviewers for methodological quality using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research. Any disagreements that arose between the reviewers were resolved through discussion. Data extraction was conducted by two independent reviewers using the standardized qualitative data extraction tool from JBI. The qualitative research findings were pooled using JBI methodology. The JBI process of meta-aggregation was used to identify categories and synthesized findings. RESULTS: Twelve papers were included in the review. Three synthesized findings were extracted from 12 categories and 75 findings. The three synthesized findings extracted from the papers were: (1) Love of nursing: It's who I am and I love it; (2) It's a rewarding but challenging and changing job; it's a different job and it can be challenging; (3) It's a challenging job; can I keep up? CONCLUSIONS: Older nurses love nursing and have created an identity around their profession. They view their profession positively and believe their job to be unlike any other, yet they identify many ongoing challenges and changes. Despite their desire to continue in their role they are often faced with hardships that threaten their ability to stay at the bedside. A key role of hospital administrators to keep older nurses in the workplace is to develop programs to prevent work related illness and to promote health. Given the low ConQual scores in the current systematic review, additional research is recommended to understand the older nurses' experience in providing direct care in hospital nursing units as well as predicting health age of retirement and length of bedside nursing.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,023 | 0,052 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,010 | 0,013 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».