“ Healthcare organizations’ administrative policies are just too rigid... “: why nurses leave primary and emergency care
Notice bibliographique
Résumé
Context. Nursing shortage is a major issue for healthcare systems. Primary and emergency care are no exception. Large scale nurse turnover is costly, is associated with both reduced productivity and poorer patient outcomes. Understanding of the reasons for nurse turnover has become a pressing issue. Objective. To identify the reasons why nurses leave their primary and emergency care position and compare this with other practice areas. Study Design. A descriptive qualitative design using a critical incident technique wase used. Immediately following their resignation, nurses were interviewed to explore the reasons why they had quit their job. Setting. Nurses were recruited from 4 organizations in urban and rural regions of Quebec (CANADA). Population Studied. N=35 nurses were interviewed; n=6 primary care, n=7 emergency care and n=22 from other areas. Instrument. A semi-structured interview guide based on Daouk-Öyry’s (2014) joint model of nurse absenteeism and turnover was used. Outome Measures. The individual, interpersonal, occupational, organizational and national considerations underpinning their decision to quit were analysed. Analysis. The interviews were subjected to thematic content analysis. Critical incident of primary and emergency care nurses were compared to those of the other nurses. Results. All the primary care nurses had at least 5 years’ experience, as did most emergency care nurses, while nurses from other area were less experienced. Primary care nurses were more likely to work as float nurses compared with emergency nurses. Organizational factors (lack of stability, demanding work schedules, work-life balance imbalance) was commonly cited among primary care nurses as to why they resigned from their jobs. Emergency nurses cited individual, interpersonal, and organizational reasons for leaving their jobs. Conclusions. Nurses leaving the primary and emergency care are experienced. The loss of expertise that results from their departure is a major challenge for access to care and services. It is therefore important to take account of their professional dissatisfactions to reduce turnover and improve nurses’ attraction.
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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 | 0,009 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,008 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».