Interpreting Context in Rural and Remote Aged Care Facilities in Readiness for a New Care Model: A Mixed Method Study
Notice bibliographique
Résumé
BACKGROUND: Geographical isolation compounds limited access to healthcare services and skilled workforce for the provision of rural aged care. Residents have complex chronic disease management and end-of-life care needs. An undersupply of general medical practitioners due to retirement, attrition or unfilled training places in Australia has impacted recruitment to rural areas. Nurse practitioners have been identified as a potential solution. AIM: To describe and explore the inner (local and organisational) and outer (wider health system) contexts of healthcare, from the perspective of care staff and residents' families. This, in turn, aims to inform the planned implementation of a nurse practitioner model, in several aged care facilities, operating within rural and remote settings, in Queensland Australia. DESIGN: A convergent mixed methods design. METHODS: Qualitative data were collected, in 2022-2023, using semistructured interviews with staff focusing on role, knowledge development, workplace culture and care relationships with local community. Resident's family's perspectives were obtained as a secondary analysis of organisational feedback data. Quantitative data were collected from direct care workers using the Alberta Context Tool for Long-Term Care. Data were analysed according to type and integrated. RESULTS: Relational care for residents and families is highly valued but provision of quality is challenging where time-poor staff are perceived to be doing the best they can. Scarce local healthcare services make it difficult to meet resident healthcare needs. Despite the supportive organisational culture, evolving policy requirements have impacted already difficult staff recruitment in rural settings. CONCLUSION: Identifying contextual needs of organisations in readiness for change highlights geographical and sectoral nuances influencing any future implementation. As government policy changes to improve the older adult care sector, rural and remote facilities are forced to increasingly adapt. IMPLICATIONS FOR THE PROFESSION: Context-specific needs extend far beyond a nurse practitioner providing additional expertise in care provision. IMPACT STATEMENTS: What problem did the study address? Nurse practitioners have been successfully implemented into residential aged care facilities in metropolitan and major regional centres but translating this role into rural and remote Australia requires being cognisant of the needs, unique challenges and context of this setting. What were the main findings? In an organisational culture of support, the importance of staff providing relational care and having connection with older adult residents and families was a central driver. It was challenging for staff to meet complex care requirements in the absence of local healthcare options and support. Time pressures, from inadequate staffing and changing structural aged care sector, force the prioritising of care requirements. Where and on whom will the research have an impact? Older adults, policy makers and aged care providers will benefit from understanding the context of rural and remote settings, particularly in identifying potential solutions when there are gaps in primary and secondary healthcare. REPORTING METHOD: The GRAMMS checklist was followed in reporting of this study. PATIENT OR PUBLIC CONTRIBUTION: Two lived experience consumers were involved as research team members. One was involved during the development and submission of the funding application and another during project activities including data collection and analysis and the development of publications.
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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 | 0,021 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».