NCT04398797

Prevention of AcuTe admIssioN Algorithm (PATINA)

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 2,464 (actual)
• Sponsor: Region of Southern Denmark · Academic / Other
• Sex: All
• Age: 65 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Avoid Acute Hospitalizations

Interventions

Type	Name	Description
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).

Timeline

• Start date: 2020-06-01
• Primary completion: 2022-05-31
• Completion: 2022-05-31
• First posted: 2020-05-21
• Last updated: 2022-11-03

Locations

1 site across 1 country: Denmark