Prevention of AcuTe admIssioN Algorithm (PATINA)
Prevention of AcuTe admIssioN Algorithm (PATINA) - The Effect of a Notification Algorithm and a Digital Decision Support Tool
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Odense, Denmark, 5000
- Odense University Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Community dwelling citizens (+ 65) receiving home and social care in Odense, Kerteminde and Svendborg Municipalities.
Exclusion Criteria:
- Non
Study Plan
How is the study designed?
Design Details
- Primary Purpose: PREVENTION
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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EXPERIMENTAL: Intervention
Use of notification algorithm and nurse follow-up
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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).
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NO_INTERVENTION: Control
Standard regime (usual care)
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hospitalizations
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
|
Calculated based on data from the Danish National Patient Registry
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30 days from identification by the algorithm (6 months for intervention phase)
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hospital readmissions
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
|
Calculated based on data from the Danish National Patient Registry
|
30 days from identification by the algorithm (6 months for intervention phase)
|
|
Outpatient contacts
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
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Calculated based on data from the Danish National Patient Registry
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30 days from identification by the algorithm (6 months for intervention phase)
|
|
Use of temporary care in a skilled nursing facility
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
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Calculated based on data from the three participating municipalities electronic care records
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30 days from identification by the algorithm (6 months for intervention phase)
|
|
Use of community home and social care services
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
|
Calculated based on data from the three participating municipalities electronic care records
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30 days from identification by the algorithm (6 months for intervention phase)
|
|
Contacts to primary care physicians
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
|
Calculated based on data from the Danish National Health Insurance Service Register
|
30 days from identification by the algorithm (6 months for intervention phase)
|
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Mortality
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
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Calculated based on data from the Danish Cause of death register.
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30 days from identification by the algorithm (6 months for intervention phase)
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Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Barriers and facilitators for nurse's acceptance of using the algorithm
Time Frame: 30 days from identification by the algorithm (6 months for intervention phase)
|
Calculated based on a survey battery collected 1 month pre intervention start, 14-7 days pre intervention start, 1 month post intervention start
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30 days from identification by the algorithm (6 months for intervention phase)
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Health economic analysis
Time Frame: 1 year
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The analytic details will be based on the primary and secondary results of the trail
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1 year
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Anders Fournaise, MSPH, Region of Southern Denmark
Publications and helpful links
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 19/29873
- 9163-00002B (OTHER_GRANT: Innovation Fund Denmark)
- 19/20991 (OTHER_GRANT: Region of Southern Denmark)
- OP_1033 (OTHER: Open Patient data Explorative Network (OPEN))
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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