Healthcare providers’ perceived acceptability of a warning signs intervention for rural hospital-to-home transitional care: A cross-sectional study
Notice bibliographique
Résumé
INTRODUCTION: There is a pressing need for transitional care that prepares rural dwelling medical patients to identify and respond to the signs of worsening health conditions. An evidence-based warning signs intervention has the potential to address this need. While the intervention is predominantly delivered by nurses, other healthcare providers may be required to deliver it in rural communities where human health resources are typically limited. Understanding the perspectives of other healthcare providers likely to be involved in delivering the intervention is a necessary first step to avert consequences of low acceptability, such as poor intervention implementation, uptake, and effectiveness. This study examined and compared nurses' and other healthcare providers' perceived acceptability of an evidence-based warning signs intervention proposed for rural transitional care. METHODS: A cross-sectional design was used. The convenience sample included 45 nurses and 32 other healthcare providers (e.g., physical and occupational therapists, physicians) who self-identified as delivering transitional care to patients in rural Ontario, Canada. In an online survey, participants were presented with a description of the warning signs intervention and completed established measures of intervention acceptability. The measures captured 10 intervention acceptability attributes (effectiveness, appropriateness, risk, convenience, relevance, applicability, usefulness, frequency of current use, likelihood of future use, and confidence in ability to deliver the intervention). Ratings ≥ 2 indicated acceptability. Data analysis included descriptive statistics, independent samples t-tests, as well as effect sizes to quantify the magnitude of any differences in acceptability ratings between nurses and other healthcare providers. RESULTS: Nurses and other healthcare providers rated all intervention attributes > 2, except the attributes of convenience and frequency of current use. Differences between the two groups were found for only three attributes: nurses' ratings were significantly higher than other healthcare providers on perceived applicability, frequency of current use, and the likelihood of future use of the intervention (all p's < .007; effect sizes .58 - .68, respectively). DISCUSSION: The results indicate that both participant groups had positive perspectives of the intervention on most of the attributes and suggest that initiatives to enhance the convenience of the intervention's implementation are warranted to support its widespread adoption in rural transitional care. However, the results also suggest that other healthcare providers may be less receptive to the intervention in practice. Future research is needed to explore and mitigate the possible reasons for low ratings on perceived convenience and frequency of current use of the intervention, as well as the between group differences on perceived applicability, frequency of current use, and the likelihood of future use of the intervention. CONCLUSIONS: The intervention represents a tenable option for rural transitional care in Ontario, Canada, and possibly other jurisdictions emphasizing transitional care.
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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 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».