Depression Clinical Trial
— PARTNERsOfficial title:
CAMH PARTNERs: Integrated Care for Better Outcomes
Verified date | March 2024 |
Source | Centre for Addiction and Mental Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This research study will evaluate an integrated care model of telephone-based, computer-aided care management using a new role of Mental Health Technician and specialized software to support primary care providers in providing mental health care. The study will compare the effectiveness of this model vs. enhanced usual care in improving initiation of specific treatment by the primary care provider, reduction in severity of symptoms, and improvement in quality of life or functioning.
Status | Active, not recruiting |
Enrollment | 635 |
Est. completion date | December 2024 |
Est. primary completion date | January 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Age 18 and older 2. Receiving care from a Primary Care Provider at one of the participating health care organizations 3. Self-referred or referred by a participating primary care provider because of suspected depression, anxiety, alcohol disorder or at risk drinking 4. Having access to a telephone 5. Willingness and ability to converse in English by telephone 6. Corrected auditory acuity that enables to converse in English by telephone 7. Willingness and ability to provide informed consent Exclusion Criteria: 1. Not meeting all inclusion criteria 2. Lifetime primary psychotic illness, bipolar disorder, obsessive-compulsive disorder, or post-traumatic disorder 3. Current substance abuse or dependence (not including alcohol use disorders) 4. Clinically significant cognitive impairment as indicated by a score of 16 or above on the Blessed Orientation Memory Concentration Test 5. High risk for suicide as indicated by the 5-item Paykel Scale 6. Being physically unstable as evidenced by needing to be hospitalized 7. Being expected by one's Primary Care Provider to die during the next 6 months |
Country | Name | City | State |
---|---|---|---|
Canada | Centre for Addiction and Mental Health | Toronto | Ontario |
Lead Sponsor | Collaborator |
---|---|
Centre for Addiction and Mental Health | CAMH Foundation, Capital Solution Design LLC |
Canada,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Proportion of subjects receiving treatment for depression, anxiety, an alcohol use disorder or at-risk drinking | Generalized linear models will be used to determine whether the proportion of subjects receiving treatment differs across study arms after controlling for clustering across sites and within Primary Care Providers in addition to all relevant covariates. | One year | |
Other | Rates of depression remission, depression response, anxiety remission, anxiety response, and decrease in alcohol use to the point where it meets the guidelines for safe drinking, remaining stable, or worsening. | Cox regression (for time to remission or response) and GEE (investigating rates of remission or response for each condition as a binary outcome). The following operational definitions will be used: depression response: Patient Health Questionnaire-9 score<10; depression remission: Patient Health Questionnaire-9 score< 5; anxiety response: Generalized Anxiety Disorder-7< 10; anxiety remission: Generalized Anxiety Disorder-7< 5; at risk-drinking threshold: no more than 15 drinks per week for men with no more than 3 drinks a day most days or 10 drinks a week for women with no more than 2 drinks per day most days. A GEE model will be adjusted for each of the outcomes, using a logit link. Study site and PCP will be used to control for clustering. The models will include and explore a categorical Time effect with 4 levels (baseline, 4, 8 and 12months), study group and their interaction, as well as relevant covariates found with approaches described in the Primary and Secondary Outcomes. | One year | |
Other | Changes on the Veterans Rand-12 (VR-12) Health Survey | Participants will be interviewed over the phone with the Veterans Rand-12 (VR-12) questionnaire at baseline, 4, 8, and 12 months. Mixed models will be used to assess changes in scores adjusting for all relevant covariates and clustering within subjects over time, within sites, and within PCP. These changes will be defined and analyzed as the changes in PHQ-9 scores described above with thee scores for the three main conditions (PHQ-9, GAD-7 and 7 Day Timeline Followback) entered as control variables. | One year | |
Primary | Severity of depressive symptoms, as measured with PHQ-9 during phone interviews at 4, 8, and 12 months | Mixed models will be used to assess changes in depressive symptoms among depressed participants (i.e., those with a PHQ-9 score of 10 or higher at baseline) adjusting for relevant covariates and clustering within subjects over time and within sites. Change in PHQ-9 scores (follow-up minus baseline scores) will be compared between treatment groups with a linear contrast model including the main effects of time, treatment group, and their interaction with the expectation to detect a group effect and a group x time interaction. Time will have 4 levels (Baseline, 4, 8 and 12 months); treatment group will have two levels (EUC and Intervention). We will test the bivariate association between baseline socio-demographics and baseline PHQ-9 scores with treatment group. Variables associated at a significance level of 0.05, will be entered in the model as covariates. Comorbidities will be also entered as control variables. | One year | |
Secondary | Initiation or change in antidepressant medication documented in the health record at the 4-, 8-, and 12-month follow up | Generalized Estimating Equation (GEE) will be used to compare the proportion of subjects that started the treatment for each specific comorbidity in the first 12 months after start of the study. The model will use logit link and consider sites and PCPs as clustering structures, and besides the simple test of study group effect the model will also control for relevant covariates detected in the initial descriptive group comparison (see Primary Outcome). Time will also enter the model as a categorical predictor with 4 levels. Separate models will be fitted for each condition (depression, anxiety, and alcohol use disorder) and each model will control for the existence or not of the other two conditions. The outcome variable for each analysis will be a simple binary indicator of whether the treatment started or not during the interval analyzed. | One year | |
Secondary | Severity of anxiety symptoms during the past 2 weeks and number of drinks during the past week | Participants will be interviewed over the phone with the Generalized Anxiety Disorder-7 (GAD-7) and the Alcohol Use 7 Day Timeline Followback at baseline, 4, 8, and 12 months. Mixed models will be used to assess changes in anxiety symptoms among anxious participants (i.e., those with a GAD-7 score of 10 or higher at baseline) or changes in the number of drinks during the past week among those with at-risk drinking (defined as drinking 10 or more drinks per week for a female, 15 or more drinks per week for a male, or having 4 or more binges during the past 3 months - with a binge defined as 4 or more drinks in a single day for a female and 5 or more drinks in a single day for a male). Mixed models adjust for all relevant covariates and clustering within subjects over time, within sites, and within Primary Care Providers. These changes will be defined and analyzed as the changes in PHQ-9 scores described above. | One year | |
Secondary | Time to initiation of first specific treatment for depression by the primary care provider | Time to initiation of first treatment will be tested using Cox regression, and logistic regression analysis will be used to determine whether the proportion of cases receiving treatment differs across study arms after controlling for all relevant covariates | One year |
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