Skip to main content
OpenTrials
Completed

NCT Number: NCT04398797

Prevention of AcuTe admIssioN Algorithm (PATINA)

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.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Avoid Acute Hospitalizations Behavior Health Behavior Patient Acceptance of Health Care Treatment Adherence and Compliance

Age range

65 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Odense University Hospital

Odense, 5000, Denmark

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

  • Non

Treatment and study plan

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).

Primary outcomes

  1. 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

Secondary outcomes

  1. 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

  2. Outpatient contacts

    Time frame: 30 days from identification by the algorithm (6 months for intervention phase)

    Calculated based on data from the Danish National Patient Registry

  3. Use of temporary care in a skilled nursing facility

    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

  4. 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

  5. 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

  6. Mortality

    Time frame: 30 days from identification by the algorithm (6 months for intervention phase)

    Calculated based on data from the Danish Cause of death register.

Other outcomes

  1. 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

  2. Health economic analysis

    Time frame: 1 year

    The analytic details will be based on the primary and secondary results of the trail

Sponsors and collaborators

Lead sponsor

Region of Southern Denmark

Other

Collaborators

  • Kerteminde Municipality, Denmark
  • Odense Municipality, Denmark
  • Svendborg Municipality, Denmark

Registry information

Official study title

Prevention of AcuTe admIssioN Algorithm (PATINA) - The Effect of a Notification Algorithm and a Digital Decision Support Tool

Important dates

Study start
2020
Primary completion
2022
Study completion
2022
First posted
May 21, 2020
Registry last updated
Nov 3, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.