One size does not fit all: a qualitative content analysis of the importance of existing quality improvement capacity in the implementation of Releasing Time to Care: the Productive Ward™ in Saskatchewan, Canada
Notice bibliographique
Résumé
<b>Background</b> \n \n<p>Releasing Time to Care: The Productive Ward™ (RTC) is a method for conducting continuous quality improvement (QI). The Saskatchewan Ministry of Health mandated its implementation in Saskatchewan, Canada between 2008 and 2012. Subsequently, a research team was developed to evaluate its impact on the nursing unit environment. We sought to explore the influence of the unit’s existing QI capacity on their ability to engage with RTC as a program for continuous QI.</p> \n \n<b>Methods</b> \n \n<p>We conducted interviews with staff from 8 nursing units and asked them to speak about their experience doing RTC. Using qualitative content analysis, and guided by the Organizing for Quality framework, we describe the existing QI capacity and impact of RTC on the unit environment.</p> \n<b>Results</b> \n \n<p>The results focus on 2 units chosen to highlight extreme variation in existing QI capacity. Unit B was characterized by a strong existing environment. RTC was implemented in an environment with a motivated manager and collaborative culture. Aided by the structural support provided by the organization, the QI capacity on this unit was strengthened through RTC. Staff recognized the potential of using the RTC processes to support QI work. Staff on unit E did not have the same experience with RTC. Like unit B, they had similar structural supports provided by their organization but they did not have the same existing cultural or political environment to facilitate the implementation of RTC. They did not have internal motivation and felt they were only doing RTC because they had to. Though they had some success with RTC activities, the staff did not have the same understanding of the methods that RTC could provide for continuous QI work.</p> \n<b>Conclusions</b> \n \n<p>RTC has the potential to be a strong tool for engaging units to do QI. This occurs best when RTC is implemented in a supporting environment. One size does not fit all and administrative bodies must consider the unique context of each environment prior to implementing large-scale QI projects. Use of an established framework, like Organizing for Quality, could highlight the distinctive supports needed in particular care environments to increase the likelihood of successful engagement.</p>
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».