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1.
Intern Med J ; 53(7): 1196-1203, 2023 07.
Article in English | MEDLINE | ID: mdl-34841635

ABSTRACT

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.


Subject(s)
Patient Discharge , Patient Readmission , Humans , Aftercare , Hospitalization , Risk Factors , Retrospective Studies
2.
J Interprof Care ; 30(2): 226-31, 2016.
Article in English | MEDLINE | ID: mdl-26954260

ABSTRACT

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.


Subject(s)
Cooperative Behavior , Emergency Service, Hospital/organization & administration , Interprofessional Relations , Patient Admission/statistics & numerical data , Patient Care Team/organization & administration , Emergency Service, Hospital/statistics & numerical data , Humans , Nursing Staff/organization & administration , Occupational Therapy/organization & administration , Patient Care Team/statistics & numerical data , Physical Therapists/organization & administration , Retrospective Studies , Social Workers , Staff Development/organization & administration , Time Factors , Victoria , Workflow
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