NCT04398797

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,464

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jun 2020

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 13, 2020

Completed
8 days until next milestone

First Posted

Study publicly available on registry

May 21, 2020

Completed
11 days until next milestone

Study Start

First participant enrolled

June 1, 2020

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2022

Completed
Last Updated

November 3, 2022

Status Verified

October 1, 2022

Enrollment Period

2 years

First QC Date

May 13, 2020

Last Update Submit

October 25, 2022

Conditions

Avoid Acute Hospitalizations

Keywords

AlgorithmCommunity dwellingHealth care utilizationAcute hospitalization

Outcome Measures

Primary Outcomes (1)

  • Hospitalizations

    Calculated based on data from the Danish National Patient Registry

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

Secondary Outcomes (6)

  • Hospital readmissions

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

  • Outpatient contacts

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

  • Use of temporary care in a skilled nursing facility

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

  • Use of community home and social care services

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

  • Contacts to primary care physicians

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

  • +1 more secondary outcomes

Other Outcomes (2)

  • Barriers and facilitators for nurse's acceptance of using the algorithm

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

  • Health economic analysis

    1 year

Study Arms (2)

Intervention

EXPERIMENTAL

Use of notification algorithm and nurse follow-up

Other: PATINA algorithm

Control

NO INTERVENTION

Standard regime (usual care)

Interventions

PATINA algorithmOTHER

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).

Intervention

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersNo
Age GroupsOlder Adult (65+)

You may qualify if:

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

You may not qualify if:

  • Non

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Odense University Hospital

Odense, 5000, Denmark

Location

Related Publications (1)

  • 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.

    PMID: 33639833BACKGROUND

MeSH Terms

Conditions

Patient Acceptance of Health Care

Condition Hierarchy (Ancestors)

Treatment Adherence and ComplianceHealth BehaviorBehavior

Study Officials

  • Anders Fournaise, MSPH

    Region of Southern Denmark

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: 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.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Industrial PhD student

Study Record Dates

First Submitted

May 13, 2020

First Posted

May 21, 2020

Study Start

June 1, 2020

Primary Completion

May 31, 2022

Study Completion

May 31, 2022

Last Updated

November 3, 2022

Record last verified: 2022-10

Locations

DK(1)