Prevention of AcuTe admIssioN Algorithm (PATINA)
- Conditions
- Avoid Acute Hospitalizations
- Interventions
- Other: PATINA algorithm
- Registration Number
- NCT04398797
- Lead Sponsor
- Region of Southern Denmark
- Brief 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 2464
- Community dwelling citizens (+ 65) receiving home and social care in Odense, Kerteminde and Svendborg Municipalities.
- Non
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Intervention PATINA algorithm Use of notification algorithm and nurse follow-up
- Primary Outcome Measures
Name Time Method Hospitalizations 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the Danish National Patient Registry
- Secondary Outcome Measures
Name Time Method Hospital readmissions 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the Danish National Patient Registry
Outpatient contacts 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the Danish National Patient Registry
Use of temporary care in a skilled nursing facility 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the three participating municipalities electronic care records
Use of community home and social care services 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the three participating municipalities electronic care records
Contacts to primary care physicians 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the Danish National Health Insurance Service Register
Mortality 30 days from identification by the algorithm (6 months for intervention phase) Calculated based on data from the Danish Cause of death register.
Trial Locations
- Locations (1)
Odense University Hospital
🇩🇰Odense, Denmark