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| ID | Type | Description | Link |
|---|---|---|---|
| 9163-00002B | Other Grant/Funding Number | Innovation Fund Denmark | |
| 19/20991 | Other Grant/Funding Number | Region of Southern Denmark | |
| OP_1033 | Other Identifier | Open Patient data Explorative Network (OPEN) |
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| Name | Class |
|---|---|
| Odense Municipality, Denmark | UNKNOWN |
| Kerteminde Municipality, Denmark | UNKNOWN |
| Svendborg Municipality, Denmark | UNKNOWN |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | Experimental | Use of notification algorithm and nurse follow-up |
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| Control | No Intervention | Standard regime (usual care) |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PATINA algorithm | Other | 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). |
| Measure | Description | Time Frame |
|---|---|---|
| Hospitalizations | Calculated based on data from the Danish National Patient Registry | 30 days from identification by the algorithm (6 months for intervention phase) |
| Measure | Description | Time Frame |
|---|---|---|
| Hospital readmissions | Calculated based on data from the Danish National Patient Registry | 30 days from identification by the algorithm (6 months for intervention phase) |
| Outpatient contacts | Calculated based on data from the Danish National Patient Registry |
| Measure | Description | Time Frame |
|---|---|---|
| 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) |
| Health economic analysis |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Anders Fournaise, MSPH | Region of Southern Denmark | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Odense University Hospital | Odense | 5000 | Denmark |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33639833 | Background | 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. |
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| ID | Term |
|---|---|
| D010342 | Patient Acceptance of Health Care |
| ID | Term |
|---|---|
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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Step-wedge, open label, cluster randomized controlled trial with 1 year follow up. Area home care teams from three Danish municipalities are randomized to cross-over from the control phase to the intervention phase. Participants automatically follow their area home care team into the allocated group.
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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 | Calculated based on data from the three participating municipalities electronic care records | 30 days from identification by the algorithm (6 months for intervention phase) |
| 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) |
| 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) |
| Mortality | Calculated based on data from the Danish Cause of death register. | 30 days from identification by the algorithm (6 months for intervention phase) |
The analytic details will be based on the primary and secondary results of the trail |
| 1 year |