Prevention of AcuTe admIssioN Algorithm (PATINA)

Avoid Acute Hospitalizations Clinical Trial

Official title:

Prevention of AcuTe admIssioN Algorithm (PATINA) - The Effect of a Notification Algorithm and a Digital Decision Support Tool

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04398797
• Other study ID #: 19/29873
• Secondary ID: 9163-00002B19/20
• Status: Completed
• Phase: N/A
• Start date: June 1, 2020
• Est. completion date: May 31, 2022

Study information

• Verified date: October 2022
• Source: Region of Southern Denmark
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Utilization of public health care mirrors the older individual's overall health, and increased need for health care may precede more clear symptoms of acute disease. In a previous retrospective study, we found a significant increase in municipal home care service (minutes/week) in a 12-month period prior to acute hospitalization. This PhD-study aims at examining the effect of a software algorithm monitoring older citizens utilization of municipal home care. When home care increases the community nurse is notified and special attention is paid to the individual's current health situation. Pro-active health care initiatives may be launched in collaboration with the primary care physician. The intervention is the algorithm.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2464
• Est. completion date: May 31, 2022
• Est. primary completion date: May 31, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: 65 Years and older

Eligibility

Inclusion Criteria:

• Community dwelling citizens (+ 65) receiving home and social care in Odense, Kerteminde and Svendborg Municipalities.

Exclusion Criteria:

• Non

Related Conditions & MeSH terms

• Avoid Acute Hospitalizations

Intervention

Other:
• PATINA algorithm
Once a week community nurses receive a list of community dwelling citizens deemed at risk of deterioration that can lead to hospital admission. Nurses assess each citizens situation and initiate intervention if needed (not part of the intervention).

Locations

Country	Name	City	State
Denmark	Odense University Hospital	Odense

Sponsors (4)

Lead Sponsor	Collaborator
Region of Southern Denmark	Kerteminde Municipality, Denmark, Odense Municipality, Denmark, Svendborg Municipality, Denmark

Country where clinical trial is conducted

Denmark, 

References & Publications (1)

Fournaise A, Lauridsen JT, Bech M, Wiil UK, Rasmussen JB, Kidholm K, Espersen K, Andersen-Ranberg K. Prevention of AcuTe admIssioN algorithm (PATINA): study protocol of a stepped wedge randomized controlled trial. BMC Geriatr. 2021 Feb 27;21(1):146. doi: 10.1186/s12877-021-02092-2. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Barriers and facilitators for nurse's acceptance of using the algorithm	Calculated based on a survey battery collected 1 month pre intervention start, 14-7 days pre intervention start, 1 month post intervention start	30 days from identification by the algorithm (6 months for intervention phase)
Other	Health economic analysis	The analytic details will be based on the primary and secondary results of the trail	1 year
Primary	Hospitalizations	Calculated based on data from the Danish National Patient Registry	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Hospital readmissions	Calculated based on data from the Danish National Patient Registry	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Outpatient contacts	Calculated based on data from the Danish National Patient Registry	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Use of temporary care in a skilled nursing facility	Calculated based on data from the three participating municipalities electronic care records	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Use of community home and social care services	Calculated based on data from the three participating municipalities electronic care records	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Contacts to primary care physicians	Calculated based on data from the Danish National Health Insurance Service Register	30 days from identification by the algorithm (6 months for intervention phase)
Secondary	Mortality	Calculated based on data from the Danish Cause of death register.	30 days from identification by the algorithm (6 months for intervention phase)