Evaluation of a Case-management Program for Frequent Emergency Department Users (DAUM)
The DAUM Case-management Program for Frequent Users of the Nancy University Hospital Emergency Department: Evaluation Protocol
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
-
-
-
Nancy, France
- Nancy University Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- adults
- who visited the ED of Nancy University Hospital between November 7th, 2022, and October 6th, 2023
- with at least four ED visits during the preceding year
- residing in Nancy or the surrounding urban areas
Exclusion Criteria:
- homeless patients
- patient refusal to participate
- patient's GP refusal to participate
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Case-management program
Patients included in the case-management program
|
FUs patients were identified by the admission nurse through an alert generated by the ED information system. The ED physician explained the DAUM program to the patient and notified the Territorial Support Platform (TSP). The TSP team contacted the patient and his/her GP to present the DAUM program, obtain their agreement to participate and collect additional information. Once the patient included in the DAUM program, a Personalized Health Coordination Plan (PHCP) was co-constructed by the TSP team, in collaboration with the patient, hi/her GP, and other caregiver(s). The PHCP is divided into a care plan (with care objectives) and a support plan (with social obectives). Once the objectives of the care and support plans were identified for a patient, specific actions and timeframes were established for each objective. Follow-up assessments were conducted at three to six months from the inclusion and at one year. |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Effectiveness
Time Frame: Before-after comparison between the mean number of ED visits during the year of program participation and the mean number of ED visits in the preceding year
|
Mean number of ED visits among included patients
|
Before-after comparison between the mean number of ED visits during the year of program participation and the mean number of ED visits in the preceding year
|
|
Cost-effectiveness
Time Frame: One year
|
Incremental cost-effectiveness ratio in cost per ED visit avoided
|
One year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Indicator Reach 1 - Percentage of patients who consented to participate in the DAUM program among eligible patients
Time Frame: One year
|
[number of patients who consented to participate in the DAUM program / number of eligible patients] x 100
|
One year
|
|
Indicator Reach 2 - Percentage of patients who consented to participate in the program among patients to whom the program was proposed
Time Frame: One year
|
[number of patients who consented to participate in the DAUM program / number of patients to whom the DAUM program was proposed] x 100
|
One year
|
|
Indicator Reach 3 - Percentage of patients who effectively participated in the program
Time Frame: One year
|
[number of patients who effectively participated in the DAUM program (PHCP validated) / number of included patients] x 100
|
One year
|
|
Indicator Adoption 1 - Percentage of patients notified to the TSP by ED physicians
Time Frame: One year
|
[number of patients notified to the TSP by ED physicians / number of potentially eligible patients (i.e., patients identified as FU who visited the ED during the study period)] x 100
|
One year
|
|
Indicator Adoption 2 - Percentage of patients who had been informed about the program during their ED visit
Time Frame: One year
|
[number of patients who had been informed about the DAUM program during their ED visit / number of patients to whom the DAUM program was proposed by the TSP] x 100
|
One year
|
|
Indicator Implementation 1 - Percentage of patients notified to the TSP by ED physicians within three days of their ED visit
Time Frame: One year
|
[number of patients notified to the TSP by ED physicians within three days of their ED visit / number of patients notified to the TSP by ED physicians] x 100
|
One year
|
|
Indicator Implementation 2 - Percentage of patients whose GP was contacted within 48 hours of the notification by an ED physician
Time Frame: One year
|
[number of patients whose GP was contacted within 48 hours of the notification by an ED physician / number of eligible patients] x 100
|
One year
|
|
Indicator Implementation 3 - Percentage of patients contacted by the TSP team within seven days of the notification by an ED physician
Time Frame: One year
|
[number of patients contacted by the TSP team within seven days of the notification by an ED physician / number of patients to whom the DAUM program was proposed] x 100
|
One year
|
|
Indicator Implementation 4 - Percentage of patients for whom a PHCP was validated within a month of the first contact between the TSP team and the patient
Time Frame: One year
|
[number of patients for whom a PHCP was validated within a month of the first contact (between the TSP team and the patient) / number of patients who had a PHCP] x 100
|
One year
|
|
Indicator Implementation 5 - Percentage of patients who benefited from the first actions of the PHCP within two weeks of the PHCP validation
Time Frame: One year
|
[number of patients who benefited from the first actions of the PHCP within two weeks of the PHCP validation / number of patients who had a PHCP validated] x 100
|
One year
|
|
Indicator Implementation 6 - Percentage of patients with a 3- to 6-month assessment
Time Frame: 3 and 6 months
|
[number of patients with a 3-to 6-month assessment / number of patients who had a PHCP validated] x 100
|
3 and 6 months
|
|
Indicator Implementation 7 - Percentage of patients with a 1-year assessment
Time Frame: One year
|
[number of patients with a 1-year assessment / number of patients not dead or lost to follow-up during the year] x 100
|
One year
|
|
Indicator Implementation 8 - Percentage of patients for whom all the PHCP actions were implemented as planned at the 1-year assessment
Time Frame: One year
|
[number of patients for whom all the PHCP actions were implemented as planned at the 1-year assessment / number of patients followed-up at 1 year] x 100
|
One year
|
|
Indicator Maintenance R1 - Percentage of patients who consented to participate in the DAUM program among eligible patients
Time Frame: One year
|
[number of patients who consented to participate in the DAUM program / number of eligible patients] x 100, calculated each month
|
One year
|
|
Indicator Maintenance R2 - Percentage of patients who consented to participate in the program among patients to whom the program was proposed
Time Frame: One year
|
[number of patients who consented to participate in the DAUM program / number of patients to whom the DAUM program was proposed] x 100, calculated each month
|
One year
|
|
Indicator Maintenance R3 - Percentage of patients who effectively participated in the program
Time Frame: One year
|
[number of patients who effectively participated in the DAUM program (PHCP validated) / number of included patients] x 100, calculated each month
|
One year
|
|
Indicator Maintenance A1 - Percentage of patients notified to the TSP by ED physicians
Time Frame: One year
|
[number of patients notified to the TSP by ED physicians / number of potentially eligible patients (i.e., patients identified as FU who visited the ED during the study period)] x 100, calculated each month
|
One year
|
|
Indicator Maintenance A2 - Percentage of patients who had been informed about the program during their ED visit
Time Frame: One year
|
[number of patients who had been informed about the DAUM program during their ED visit / number of patients to whom the DAUM program was proposed by the TSP] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I1 - Percentage of patients notified to the TSP by ED physicians within three days of their ED visit
Time Frame: One year
|
[number of patients notified to the TSP by ED physicians within three days of their ED visit / number of patients notified to the TSP by ED physicians] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I2 - Percentage of patients whose GP was contacted within 48 hours of the notification by an ED physician
Time Frame: One year
|
[number of patients whose GP was contacted within 48 hours of the notification by an ED physician / number of eligible patients] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I3 - Percentage of patients contacted by the TSP team within seven days of the notification by an ED physician
Time Frame: One year
|
[number of patients contacted by the TSP team within seven days of the notification by an ED physician / number of patients to whom the DAUM program was proposed] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I4 - Percentage of patients for whom a PHCP was validated within a month of the first contact between the TSP team and the patient
Time Frame: One year
|
[number of patients for whom a PHCP was validated within a month of the first contact (between the TSP team and the patient) / number of patients who had a PHCP] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I5 - Percentage of patients who benefited from the first actions of the PHCP within two weeks of the PHCP validation
Time Frame: One year
|
[number of patients who benefited from the first actions of the PHCP within two weeks of the PHCP validation / number of patients who had a PHCP validated] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I6 - Percentage of patients with a 3- to 6-month assessment
Time Frame: One year
|
[number of patients with a 3-to 6-month assessment / number of patients who had a PHCP validated] x 100, calculated each month
|
One year
|
|
Indicator Maintenance I7 - Percentage of patients with a 1-year assessment
Time Frame: One year
|
[number of patients with a 1-year assessment / number of patients not dead or lost to follow-up during the year] x 100, calculated each month
|
One year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Darraj A, Hudays A, Hazazi A, Hobani A, Alghamdi A. The Association between Emergency Department Overcrowding and Delay in Treatment: A Systematic Review. Healthcare (Basel). 2023 Jan 29;11(3):385. doi: 10.3390/healthcare11030385.
- Gabet M, Armoon B, Meng X, Fleury MJ. Effectiveness of emergency department based interventions for frequent users with mental health issues: A systematic review. Am J Emerg Med. 2023 Dec;74:1-8. doi: 10.1016/j.ajem.2023.09.008. Epub 2023 Sep 9.
- Reinhart L, Dechartres A, Beaune S, Bonnet-Zamponi D, Chauvin A, Yordanov Y. Clinical and sociodemographic factors associated with frequent use of emergency services by persons of advanced age in Paris: a nested case-control study. Emergencias. 2025 Feb;37(1):7-14. doi: 10.55633/s3me/114.2024. English, Spanish.
- Calastri C, Buckell J, Crastes Dit Sourd R. Avoidable visits to UK emergency departments from the patient perspective: A recursive bivariate probit approach. Health Policy. 2025 Apr;154:105265. doi: 10.1016/j.healthpol.2025.105265. Epub 2025 Feb 12.
- Sartini M, Carbone A, Demartini A, Giribone L, Oliva M, Spagnolo AM, Cremonesi P, Canale F, Cristina ML. Overcrowding in Emergency Department: Causes, Consequences, and Solutions-A Narrative Review. Healthcare (Basel). 2022 Aug 25;10(9):1625. doi: 10.3390/healthcare10091625.
- Ohaiba MM, Anamazobi EG, Okobi OE, Aguda K, Chukwu VU. Trends and Patterns in Emergency Department Visits: A Comprehensive Analysis of Adult Data From the National Center for Health Statistics (NCHS) Database. Cureus. 2024 Aug 3;16(8):e66059. doi: 10.7759/cureus.66059. eCollection 2024 Aug.
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
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2022_PI_095
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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