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Background: In Italy, several recent studies found that a large percentage of patients attending Primary Care (PC) clinics meet criteria for at least one common mental disorder, as they show high rates of depression, anxiety, and co-morbid anxiety and depression. These patients may experience significant functional impairment and suffer from unexplained somatic symptoms, and often remain undetected and untreated. Consistent evidence for the effectiveness of organized care programs for depression, by improving quality of care and treatment adherence, is now available. Fundamental elements of these programs include algorithms to prompt the proper and timely implementation of evidence-based treatments, structured outcome assessment and systematic outreach. Telemedicine tools may represent a valuable strategy for improving depression outcomes in PC.
Aims: 1.To develop and employ computer-based assessment to more accurately and timely detect patient depression in PC settings; 2.To evaluate the feasibility and effectiveness of a care support program developed in conjunction with the PC-based assessment for patients suffering from depression, as based on two main objectives: 2a.To support GP decisions with treatment algorithms and improve the quality of GP and mental health service collaboration; 2b.To improve patient compliance and treatment adherence by using appropriate telecommunication tools and technologically advanced tools to conduct systematic routine assessment. Although much of this system will be computer-based, live telephonic and in-person contacts will also be included as needed.
Study Design: The study is a randomized controlled trial, involving four PC group clinics (GCs) located in two areas of Northern Italy. Two PC clinics will use the experimental protocol; the other two will serve as controls.
The study will compare two different conditions:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Computerized Decision Support System (CDSS) | Experimental | GPs will use a CDSS with treatment algorithms, supervision from a consultant psychiatrist, and despatch to patients of reminders via mobile texting or automatic mobile (or landline) phone calls to improve adherence to the treatment prescribed. |
|
| Treatment as usual | No Intervention | GPs will provide TAU, will make their own decisions and will therefore not use the CDSS. Patients will not receive any reminders. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Computerized Decision Support System | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patients reaching remission | The primary end-point will be the proportion of patients reaching remission by 6 months, as represented by an exit IDS-SR score of \ | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Number of GP appointments actually attended during follow-up | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Matteo Balestrieri, M.D. | IRCCS Centro San Giovanni di Dio Fatebenefratelli | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Health Telematic Network srl | Brescia | Brescia | 25125 | Italy | ||
| IRCCS Centro San Giovanni di Dio Fatebenefratelli |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32766705 | Derived | Balestrieri M, Sisti D, Rocchi M, Rucci P, Simon G, Araya R, de Girolamo G. Effectiveness of clinical decision support systems and telemedicine on outcomes of depression: a cluster randomized trial in general practice. Fam Pract. 2020 Nov 28;37(6):731-737. doi: 10.1093/fampra/cmaa077. |
| Label | URL |
|---|---|
| Website of the Coordinating Centre | View source |
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| ID | Term |
|---|---|
| D003863 | Depression |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| Brescia |
| Brescia |
| 25125 |
| Italy |
| Dipartimento di Scienze Mediche Sperimentali e Cliniche, Università di Udine | Udine | Udine | 33100 | Italy |
| Marco B. Rocchi | Urbino | Italy |