Partnerships in Aged-Care Emergency services using Interactive Telehealth (PACE-IT) incorporating telehealth visual assessment, information sharing and decision making for people living in residential aged-care facilities (RACF)

Not Applicable

Completed

• Conditions: Emergency care intervention; Older patients; Dementia; Frail elderly; Vulnerable population; Chronic illness; Emergency medicine - Other emergency care

• Registration Number: ACTRN12619001692123
• Lead Sponsor: Assoc Prof Michelle Giles

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2019-12-02
• Study Completion: 2021-04-30
• Last Update Posted: 7 February 2022

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 1792

Inclusion Criteria

Recruitment of residents only from the 16 participating RACFs.

Involvement in the Visual Telehealth ACE call intervention
Formal signed consent will not be sought from individual residents. This intervention will be embedded into normal practice. The already existing ACE model of care is augmented through the addition of Visual Telehealth ACE call, 24 hour follow-up phone call and consultation documentation summary to the RACF and GP.

Residents and Carer Interviews
Inclusion criteria
1.RACF residents in participating RACFs greater than 65 years old and who have participated in a Visual Telehealth ACE call.
2.Aboriginal residents in participating RACFs greater than 50 years old and who have participated in a Visual Telehealth ACE call.
3.A family member(s) involved in a Visual Telehealth ACE call.

Exclusion Criteria

Residents with a cognitive impairment who are unable to provide an informed consent

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
ED presentations by RACF residents as assessed by audit of Emergency <br>Department presentation records<br>[Data collection commences in period 1 through to period 10, ie one month post implementation of the intervention in all clusters. The ED presentation data will be aggregated for each RACF per month, and the rate of ED presentations (per RACF beds) will be compared between intervention and control periods using a generalised linear mixed effects regression model (Poisson or negative binomial with a log link). <br>]