MétaCan
Menu
Retour à la cohorte
Enregistrement W1778491572 · doi:10.25904/1912/360

Program Evaluation of the Aged Care Early Intervention Management Strategy

2007· article· en· W1778491572 sur OpenAlexaboutno aff
Julia Crilly

Notice bibliographique

RevueGriffith Research Online (Griffith University, Queensland, Australia) · 2007
Typearticle
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePopulation ageingQuarter (Canadian coin)Health carePopulationAged careSustainabilityWelfarePsychological interventionGerontologyNursingEnvironmental healthEconomic growth

Résumé

récupéré en direct d'OpenAlex

In 2001, there were an estimated 2.4 million Australians aged 65 and over, or 12.5% of the total population of 19.4 million. Over the next 50 years is it expected that one quarter of the total population will be aged 65 or over (Australian Institute of Health and Welfare [AIHW], 2002). In recent years, the priority attached to ageing issues has increased substantially in Australia and in most first world countries at both a national and international level. Concerns over the implications of population ageing have prompted responses to ensure the sustainability of economic, health and social support systems that are directly influenced by the changing age structure of the population. Older Australians are the largest consumers of health care. As a result of the general ageing process, older adults are at risk of developing iatrogenic complications associated with hospital admission. Services that have been implemented overseas and in Australia that aim to provide care for patients in their own environment include hospital in the home (HIH) and, more recently hospital in the nursing home (HINH). The ability to be able to deliver acute care within the Aged Care Facility (ACF) has not previously been evaluated extensively within Australia. Further, it is not known whether the HINH model utilised in a Queensland demonstration contained sufficient components to benefit patient care. Therefore, an evaluation of the structure, processes and outcomes of this model was conducted in order to inform all stakeholders involved and allow for further refinement. Thus, the aims of this research study were to: 1. Determine which factors predict poor outcomes for all older people who present to the ED and are admitted to hospital; 2. Determine whether HINH enrolment was a predictor for better outcomes for ACF residents; 3. Evaluate the structures involved in the HINH program; and 4. Evaluate the processes involved in the HINH program. In addressing these aims three phases of research were undertaken. The first was a precursor to the evaluation. It involved conducting a cohort study that described the clinical characteristics and outcomes of all acutely unwell older adults who presented to an Emergency Department (ED) in south-east Queensland. The second and third phases evaluated the HINH program that was implemented in order to improve the care pathway for ACF residents who presented to hospital. A structure, process and outcomes approach was used to do this. The second phase focussed on evaluating outcomes. A case control study was used to compare outcomes of ACF residents enrolled into the HINH program (cases) with ACF residents who were not enrolled into the program (controls). The third phase of this research evaluated the structures and processes of the HINH program using semi-structured interviews with doctors, nurses and HINH patients. This research has provided the first comprehensive evaluation of a HINH program within Australia utilising a structure, process and outcomes approach. Results from Phase 1 highlighted that negative outcomes occurred for ACF residents as well as the health care organisation when ACF residents presented to the ED and were admitted to hospital. Results from Phase 2 identified that enrolment into the HINH program had a significant positive impact on patient and health care organisation outcomes. Furthermore, by providing hospital care in the ACF, the HINH program, was a cheaper alternative to the standard in-hospital treatment, allowed for more in-hospital bed days to be available and reduced the risk of hospital related complications such as death for patients. Findings from Phase 3 showed that for this HINH program to operate, effective referral and communication strategies were integral. Given the current political climate that is concerned over the implications of population ageing, this evaluation is timely. The HINH program is one innovative model of health care delivery that benefits the economic, health and social support systems for ACF residents and the health care organisation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,035
score de la tête « metaresearch » (Gemma)0,042
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,185

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0350,042
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0020,005
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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.

Tête enseignante Opus0,208
Tête enseignante GPT0,455
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueGriffith Research Online (Griffith University, Queensland, Australia)Même sujetFrailty in Older AdultsTravaux en français237 207