Combining Data Sources to Identify Effect Moderation for Personalized Mental Health
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Maryland
-
Baltimore, Maryland, United States, 21205
- Johns Hopkins Bloomberg School of Public Health
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Duke University Health System Electronic Health Record (EHR) System and Johns Hopkins Health System EHR System
Inclusion criteria:
- All patients prescribed any Duloxetine or Vortioxetine in the health systems between 01/01/2015 - 12/31/2021.
- AND from patients with at least 1-year historical EHR data (burn-in period) without prescribing any of the two medications. During the burn-in period, patients should have at least one encounter in the system, and with no encounters during that time frame when they were prescribed Duloxetine or Vortioxetine.
- AND patients age 18-65 years old at baseline.
Exclusion criteria:
- Patients prescribed both Duloxetine and Vortioxetine at baseline would be removed.
4 randomized controlled trials (RCTs)
Inclusion criteria:
- Male or female
- Age 18 years or older
- Major depressive episode according to Diagnostic and Statistical Manual of Mental Disorders, 4th edition, Text Revision (DSM-IV-TR) classification code 296.3x
- Montgomery-Asberg Depression Rating Scale (MADRS) total score ≥ 26
- Clinical Global Impression - Severity (CGI-S) scale score ≥ 4
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Duke Health System Electronic Health Record
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
|
Johns Hopkins Health System Electronic Health Record
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
|
Randomized Controlled Trial 1 (NCT01153009)
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
|
Randomized Controlled Trial 2 (NCT01140906)
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
|
Randomized Controlled Trial 3 (NCT00672620)
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
|
Randomized Controlled Trial 4 (NCT00635219)
Patients who received Duloxetine or Vortioxetine
|
Medications for major depressive disorder
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
9-question Patient Health Questionnaire (PHQ-9) or PHQ-2 scores
Time Frame: 6 months
|
Higher score indicates greater severity of major depressive disorder.
|
6 months
|
|
9-question Patient Health Questionnaire (PHQ-9) or PHQ-2 scores
Time Frame: 1 year
|
Higher score indicates greater severity of major depressive disorder.
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Emergency room visits or inpatient admissions with diagnosis of depression or suicidality
Time Frame: 6 months
|
A binary outcome equals to 'Yes' if the patient ever had any emergency department or inpatient hospital admission encounter with depression or suicidality International Classification of Diseases (ICD) codes, otherwise equals to "No".
|
6 months
|
|
Emergency room visits or inpatient admissions with diagnosis of depression or suicidality
Time Frame: 1 year
|
A binary outcome equals to 'Yes' if the patient ever had any emergency department or inpatient hospital admission encounter with depression or suicidality International Classification of Diseases (ICD) codes, otherwise equals to "No".
|
1 year
|
|
Emergency room visits or inpatient admissions for any reason
Time Frame: 6 months
|
A binary outcome equals to 'Yes' if the patient ever had any emergency department or inpatient hospital admission encounter after the prescription, otherwise equals to "No".
|
6 months
|
|
Emergency room visits or inpatient admissions for any reason
Time Frame: 1 year
|
A binary outcome equals to 'Yes' if the patient ever had any emergency department or inpatient hospital admission encounter after the prescription, otherwise equals to "No".
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Elizabeth Stuart, PhD, Johns Hopkins Bloomberg School of Public Health
- Principal Investigator: Hwanhee Hong, PhD, Department of Biostatistics & Bioinformatics, Duke University
Publications and helpful links
General Publications
- Hua K, Wojdyla D, Carnicelli A, Granger C, Wang X, Hong H. Network Meta-Analysis With Individual Participant-Level Data of Time-to-Event Outcomes Using Cox Regression. Stat Med. 2025 Feb 28;44(5):e70027. doi: 10.1002/sim.70027.
- Hua K, Wang X, Hong H. Network Meta-Analysis of Time-to-Event Endpoints With Individual Participant Data Using Restricted Mean Survival Time Regression. Biom J. 2025 Feb;67(1):e70037. doi: 10.1002/bimj.70037.
- Brantner CL, Nguyen TQ, Parikh H, Zhao C, Hong H, Stuart EA. Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration. J R Stat Soc Ser C Appl Stat. 2025 Dec 12:10.1093/jrsssc/qlaf068. doi: 10.1093/jrsssc/qlaf068. Online ahead of print.
- Brantner CL, Nguyen TQ, Tang T, Zhao C, Hong H, Stuart EA. Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects. Stat Med. 2024 Mar 30;43(7):1291-1314. doi: 10.1002/sim.9955. Epub 2024 Jan 25.
- Brantner CL, Yu W, Zhao C, Jeon K, Ringlein GV, Wang Q, Lemoto E, Nguyen TQ, Gagliardi JP, Zandi PP, Goldstein BA, Stuart EA, Hong H. The challenges of integrating diverse data sources: A case study in major depression. Health Serv Outcomes Res Methodol. 2024 Oct 23:10.1007/s10742-025-00363-8. doi: 10.1007/s10742-025-00363-8. Online ahead of print.
- Brantner CL, Chang TH, Nguyen TQ, Hong H, Stefano LD, Stuart EA. Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity. Stat Sci. 2023 Nov;38(4):640-654. doi: 10.1214/23-sts890. Epub 2023 Nov 6.
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
- IRB00017538 (JHSPH IRB)
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
product manufactured in and exported from the U.S.
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