Prevention of AcuTe admIssioN Algorithm (PATINA)

Region of Southern Denmark

Status: Completed

Conditions: Avoid Acute Hospitalizations

Treatments: Other: PATINA algorithm

Study type: Interventional

Funder types: Other

Identifiers

NCT04398797

OP_1033 (Other Identifier)

19/29873

19/20991 (Other Grant/Funding Number)

9163-00002B (Other Grant/Funding Number)

Details and patient eligibility

About

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.

Enrollment: 2,464 patients

Sex: All

Ages: 65+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Community dwelling citizens (+ 65) receiving home and social care in Odense, Kerteminde and Svendborg Municipalities.

Exclusion criteria

• Non

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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2,464 participants in 2 patient groups

Intervention

Experimental group

Description:

Use of notification algorithm and nurse follow-up

Treatment:

Other: PATINA algorithm

Control

No Intervention group

Description:

Standard regime (usual care)