Prevention of AcuTe admIssioN Algorithm (PATINA)
NCT04398797 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 2464
Last updated 2022-11-03
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
- 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).
Sponsors & Collaborators
-
Odense Municipality, Denmark
collaborator UNKNOWN -
Kerteminde Municipality, Denmark
collaborator UNKNOWN -
Svendborg Municipality, Denmark
collaborator UNKNOWN -
Region of Southern Denmark
lead OTHER
Principal Investigators
-
Anders Fournaise, MSPH · Region of Southern Denmark
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-06-01
- Primary Completion
- 2022-05-31
- Completion
- 2022-05-31
Countries
- Denmark
Study Locations
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