Empowering Women in Healthcare: Unveiling Their Experiences and Strategies for Organizational Support
Notice bibliographique
Résumé
ABSTRACT Importance Health care systems worldwide are grappling with rising burnout among health care workers, leading to increased rates of early retirement and job transitions. This crisis is detrimentally affecting the quality of patient care, contributing to long wait times, decreased patient satisfaction, and a heightened frequency of patient safety incidents and medical errors. Notably, women constitute 70% of the health care workforce. Objective The primary objective of this study is to uncover the factors influencing the turnover intentions and sustained commitment of HCWs who self-identify as women. Design, Setting, and Participants We used grounded theory in this qualitative study. From January 2023 to May 2023, we conducted individual semi-structured interviews with 27 frontline HCWs working in Canada and representing diverse backgrounds. The data underwent thematic analysis, which involved identifying and comprehending recurring patterns across the information to elucidate emerging themes. Results In the analysis we uncovered three factors influencing women’s intent to exit the frontline workforce: organizational, professional, and personal. Organizational factors related to work related policies, compensation, positive work culture, and effective leadership behaviors emerged as essential elements for retaining women in health care organizations. Conclusions and Relevance The outcomes of this study shed light that women’s intention to leave frontline clinical roles is shaped by three interacting factors: personal, professional, and organizational. Although the personal factors are beyond the scope of organizations in retaining women in the frontline clinical care, organizations can shape organizational strategies, organizational culture and leadership approaches to ensure they are women friendly and transform the organizational environment by creating a thriving culture for women to perform their professional role in the organizations within the constraints of their personal circumstances, such as care giving responsibilities at home. Key Points Question Why do women in health care depart from frontline clinical practice, and what proactive measures can organizations implement to ensure their continued presence and contribution to patient care at the forefront? Findings In this qualitative study, involving interviews with a diverse group of health care professionals who self-identify as women, participants pinpointed three interconnected factors influencing their choices to exit clinical practice: personal circumstances, professional roles, and the organizational context. They emphasized that fostering an organizational culture that supports women, offers equitable rewards, and provides robust and supportive leadership is imperative for retaining them in frontline positions. Meaning Although personal circumstances and the inherent nature of professional roles may be beyond the direct control of organizations, they can actively shape the organizational context to create a more women-friendly environment. This reshaping entails fostering a supportive organizational culture for women, implementing fair and equitable reward systems, and providing comprehensive training for managers and leaders in talent management strategies. These concerted efforts can significantly contribute to retaining women within frontline work environments.
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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 | 0,007 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,012 | 0,010 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,003 |
| 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 ».