Implementation of a wound care education project to improve the wound care competency among psychiatric nurses: A quality improvement project and feasibility study
Notice bibliographique
Résumé
WHAT IS KNOWN ON THE SUBJECT?: Compared to the general population, people with mental illness die several years prematurely. The prevalence of chronic physical illnesses such as diabetes and cardiovascular disease is higher in people with mental health illnesses, putting them at increased risk of developing skin wounds. The majority of the studies on wound care education and management were carried out in acute care and long-term care settings. A very few addressed the wound care needs for psychiatric patients and the educational needs of nurses in the mental health setting. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: This study adds to the existing evidence by offering an evidence-based solution to equip Psychiatric and Mental Health Nurses (PMHNs) with the necessary knowledge and skills to provide high-quality wound care to patients. When a lack of wound care competency has been identified, it may be worth the effort to provide education and training to psychiatric nurses on wound care management. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This project has the potential benefit of healthcare cost savings, which can be further investigated in a future study, for instance, a pilot randomized controlled trial to estimate the parameters for a full-trial and cost-effectiveness study. Future mental health nursing practice and research need to focus on finding solutions to help support PMHNs improve their competence in caring for physical illnesses. ABSTRACT: Introduction People with mental illnesses are at increased risk of developing skin wounds. A very few studies addressed the wound care needs for psychiatric patients and the educational needs for psychiatric and mental health nurses (PMHNs). Aim A wound care education-feasibility and quality improvement project-was implemented to improve wound care competence among nurses on the Seniors' Mental Health Units at a psychiatric hospital. Methods A total of 36 nurses participated in wound care knowledge education and completed both the pretest and post-test. Four nurses participated in wound care skills training. Results The post-intervention mean score increase for wound care knowledge was 5.14 (178%) and for skills was 7(75.7%). The results were statistically significant (p < .001). Discussion This study adds to the existing evidence by offering an evidence-based solution to equip PMHNs with the necessary knowledge and skills to provide high-quality wound care to patients. Implications for Practice and Research Future mental health nursing practice and research need to focus on finding evidence-based practical solutions to help support PMHNs improve their ability to care for physical illnesses. A future pilot randomized controlled trial will be needed to estimate the parameters for a full-trial and cost-effectiveness study.
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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 | 0,078 | 0,055 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,005 |
| 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 ».