Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
País/Região como assunto
Ano de publicação
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
Intern Med J ; 53(7): 1196-1203, 2023 07.
Artigo em Inglês | MEDLINE | ID: mdl-34841635

RESUMO

BACKGROUND: Care navigation is commonly used to reduce preventable hospitalisation. The use of Electronic Health Record-derived algorithms may enable better targeting of this intervention for greater impact. AIMS: To evaluate if community-based Targeted Care Navigation, supported by an Electronic Health Record-derived readmission risk algorithm, is associated with reduced rehospitalisation. METHODS: A propensity score matching cohort (5 comparison to 1 intervention cohort ratio) study was conducted in an 850-bed Victorian public metropolitan health service, Australia, from May to November 2017. Admitted acute care patients with a non-surgical condition, identified as at-risk of hospital readmission using an Electronic Health Record-derived readmission risk algorithm provide by the state health department, were eligible. Targeted Care Navigation involved telephone follow-up support provided for 30 days post-discharge by a registered nurse. The hazard ratio for hospital readmission was calculated at 30, 60 and 90 days post-discharge using multivariable Cox Proportional Hazards regression. RESULTS: Sixty-five recipients received care navigation and were matched to 262 people who did not receive care navigation. Excellent matching was achieved with standardised differences between groups being <0.1 for all 11 variables included in the propensity score, including the readmission risk score. The Targeted Care Navigation group had a significantly reduced hazard of readmission at 30 days (hazard ratio 0.34; 95% confidence interval: 0.12, 0.94) compared with the comparison group. The effect size was reduced at 60 and 90 days post-discharge. CONCLUSION: We provide preliminary evidence that Targeted Care Navigation supported by an Electronic Health Record-derived readmission risk algorithm may reduce 30-day hospital readmissions.


Assuntos
Alta do Paciente , Readmissão do Paciente , Humanos , Assistência ao Convalescente , Hospitalização , Fatores de Risco , Estudos Retrospectivos
2.
J Interprof Care ; 30(2): 226-31, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26954260

RESUMO

The demand for emergency department (ED) services has increased significantly, due to our increasingly ageing population and limited access to primary care. This article reports outcomes from a transprofessional model of care in an ED in Victoria, Australia. Nurses, physiotherapists, social workers, and occupational therapists undertook additional education to increase the range of services they could provide and thereby expedite patient flow through the ED. One hundred patients who received this service were matched against 50 patients who did not. The most common reasons for patient admission were limb injury/limb pain (n = 47, 23.5%) and falls (n = 46, 23.0%). Transprofessional interventions included applying supportive bandages, slings, zimmer splints and controlled ankle motion (CAM) boots, and referral to new services such as case management and mental health teams. The rate of hospital admissions was significantly lower in the transprofessional group (n = 27, 18.0%) than in the reference group (n = 19, 38%, p = 0.005). This group also had a slightly lower re-presentation rate (n = 4, 2.7%) than patients in the reference group (n = 2, 4.0%). There are many benefits that support this model of care that in turn reduces ED overcrowding and work stress. A transprofessional model may offer a creative solution to meeting the varied needs of patients presenting for emergency care.


Assuntos
Comportamento Cooperativo , Serviço Hospitalar de Emergência/organização & administração , Relações Interprofissionais , Admissão do Paciente/estatística & dados numéricos , Equipe de Assistência ao Paciente/organização & administração , Serviço Hospitalar de Emergência/estatística & dados numéricos , Humanos , Recursos Humanos de Enfermagem/organização & administração , Terapia Ocupacional/organização & administração , Equipe de Assistência ao Paciente/estatística & dados numéricos , Fisioterapeutas/organização & administração , Estudos Retrospectivos , Assistentes Sociais , Desenvolvimento de Pessoal/organização & administração , Fatores de Tempo , Vitória , Fluxo de Trabalho
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA