Back to History Current Version

Gender Gaps in Depression Diagnosis

Last registered on August 20, 2026

Pre-Trial

Trial Information

General Information

Title
Gender Gaps in Depression Diagnosis
RCT ID
AEARCTR-0014621
Initial registration date
October 21, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 28, 2024, 12:55 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
August 20, 2026, 9:12 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation

Other Primary Investigator(s)

PI Affiliation
Norwegian Institute of Public Health
PI Affiliation
University of Lausanne

Additional Trial Information

Status
Completed
Start date
2024-10-22
End date
2025-10-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Worldwide, depression is more prevalent among women than men, but it is unclear whether this reflects differences in underlying mental health or diagnosis. This project seeks to understand behavioral drivers of the observed gender disparities in depression. We hypothesize that the gender gap partly arises from: (i) differences in the threshold at which potential patients interpret a set of symptoms as depression, and (ii) differences in how specialists diagnose and recommend further steps for male and female patients presenting similar symptoms. To isolate differences in reporting and diagnosing from differences in underlying symptoms, we design online experiments where participants evaluate hypothetical depression scenarios in which the severity and symptoms of depression are randomly assigned. Each scenario is defined by a randomly selected PHQ score and a corresponding set of symptoms and frequencies randomly drawn to match that score. Workers in online platforms evaluate hypothetical scenarios about themselves or about another hypothetical individual. Mental health specialists recruited through the American Psychological Association (APA) evaluate scenarios about hypothetical male and female patients.
External Link(s)

Registration Citation

Citation
Franco, Catalina, Sara Abrahamsson and Akshay Moorthy. 2026. "Gender Gaps in Depression Diagnosis." AEA RCT Registry. August 20. https://doi.org/10.1257/rct.14621-1.4
Experimental Details

Interventions

Intervention(s)
The study uses a within-subjects design wherein all participants are exposed to two treatment blocks. In each of these blocks, participants will be shown one or more hypothetical scenarios. A scenario involves a list of depression symptoms and the frequency of their occurrence. The study uses a within-subjects design wherein all participants are exposed to two treatment blocks. In each of these blocks, participants will be shown one or more hypothetical scenarios. A scenario consists of a list of depression symptoms and the frequency of their occurrence over the past two weeks. The displayed symptoms are chosen from the PHQ-9 questionnaire, which is a widely used (and often self-administered) instrument that screens for depressive disorders. The list of symptoms and frequencies are randomly chosen to meet certain thresholds which indicate different levels of depression severity.

After reviewing the hypothetical scenario, participants are asked to state their views on: (i) whether the symptoms indicate that the subject of the scenario suffers from depression (recognition), (ii) perceptions of depression severity, (iii) the likelihood of seeking help from different sources, and (iv) beliefs and attitudes regarding depression and mental health.

[NEW October 2026] A similar experiment will be conducted with mental health specialists recruited from the members of the American Psychological Association to establish whether there are differences in how specialists diagnose and recommend further steps for male and female patients presenting similar symptoms.
Intervention (Hidden)
The two treatment blocks, Self and Other, differ only in the subject of the hypothetical scenario. In Self, the subject of the hypothetical scenario is the participant. In Other, the subject of the scenario is a hypothetical individual (who is either Male or Female). Participants will evaluate 2 scenarios in each treatment block and the order of the blocks will be randomized. The symptoms in the second scenario in the Other treatment is fixed and the subject of that scenario is the same as the subject of the first scenario in that treatment. This common scenario will be used to elicit second order beliefs by asking participants to provide their best guess of the percentage of participants in the study who thought that the scenario described a person with depression. This guess will be incentivized based on the actual responses from participants in the study.

In the vignettes, the scenario including the subject of the scenario (Self or Other) is introduced. Then three or more symptoms are shown to the participant in a tabular form, along with a frequency which is one of Several days, More than half the days, Nearly every day. The list contains the questions exactly as stated in the PHQ-9 instrument. Then, the participants respond a series of questions regarding the scenario:

Q1. Suppose that [you/NAME] were/was experiencing the hypothetical issues at the frequencies listed above, do you think [you/NAME] would have depression? [Definitely yes, probably yes, probably no, definitely no]
Q2. How severe do you think the depression would be if [you/NAME] were experiencing these issues in real life? [None or minimal, Mild, Moderate, Moderately Severe, Severe]
Q3. If [you/NAME] were experiencing these hypothetical issues, how likely do you think it is that [you/she,he] will seek help from the following sources? For these questions, imagine that there are no constraints on the time or money that has to be spent, and no problems relating to health insurance coverage for these options. [Very unlikely, Somewhat unlikely, Somewhat likely, Very likely]
a General Practitioner solely for this purpose
a General Practitioner during a visit for another purpose
a Psychologist or a therapist
a counselor at your workplace or university
a close friend or relative
an AI-enabled mental health chatbot
Q4. Based on the hypothetical issues and their frequencies experienced by [you/NAME], please indicate the extent to which you agree or disagree with the following statements. [Strongly disagree, Somewhat disagree, Somewhat agree, Strongly agree]
\item The issues would go away by themselves in some time
The issues are not very serious and do not require treatment
I/[NAME] worry/worries about what others would think of me/her/him if they became aware that [I/she,he] had these issues
I/[NAME] would rather deal with these issues [myself/herself,himself] than rely on help from others
I/[NAME] do/does not think that the available treatments for these issues are effective
I/[NAME] am/is worried about the side effects of medication for depression
Q5. We conducted a similar survey with a sample of 100 Americans. The composition of respondents in this survey was broadly representative of the American population. Participants in that survey evaluated the following exact hypothetical scenario and answered whether or not they thought [NAME] would have depression if he/she were experiencing these symptoms.

List of symptoms

Of the 100 Americans who participated in that survey, how many do you think answered Definitely yes or Probably yes to the question: Suppose that [NAME] were experiencing the hypothetical issues at the frequencies listed above, do you think [NAME] would have depression? [Number between 0 and 100]

[NEW October 2026] The sample of mental health specialists from the APA will evaluate three scenarios each, where some of the scenarios are about women and some about men.
Intervention Start Date
2024-10-23
Intervention End Date
2024-10-31

Primary Outcomes

Primary Outcomes (end points)
The three primary outcomes are Recognize, Correct and Seek help. Recognize is a binary variable equal to 1 if the answer to Q1 is definitely yes or probably yes, and 0 otherwise. Correct is the outcome to assess whether participants assess the severity of depression correctly. It takes the value of 1 if the severity level is identified correctly and 0 otherwise. Seek help captures the willingness to seek help after seeing the list of symptoms and answering Q1 and Q2. We will use the responses to Q3 to generate an outcome variable which equals 1 if the response is somewhat likely or very likely for one or more of the options presented in Q3 and 0 otherwise.

[NEW October 2026] For the APA sample, we have three main outcomes:
(1) Depression labeling: an indicator equal to 1 if the respondent answers "Definitely yes" or "Probably yes" when asked whether the hypothetical patient would have depression, and 0 otherwise.
(2) Accurate severity assessment: an indicator equal to 1 if the respondent correctly identifies the PHQ-8 severity category of the hypothetical scenario, and 0 otherwise.
(3) Recommendation for professional assessment: an indicator equal to 1 if the respondent is "Somewhat likely" or "Very likely" to recommend that the hypothetical patient seek a professional evaluation for depression, and 0 otherwise.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
The first set of secondary outcomes contained whether help would be sought from a mental health specialist or from non-specialists. The specialist variable will be equal to 1 if the response is somewhat likely or very likely in at least one of options 1-3 in Q3 and 0 otherwise. The non-specialist variable will be equal to 1 if the response is somewhat likely or very likely in at least one of options 4-6 in Q3 and 0 otherwise.

The second set of secondary outcomes we intend to capture three different factors that could underlie gender differences in recognizing depression and seeking help. We refer to these three factors as perceptions, psychic costs and norms.

To capture gender differences in perceptions we will generate binary outcomes from each of the answer options in Q4. Each of these variables would be equal to one if the response is somewhat or strongly agree and 0 otherwise. We will also generate an index summarizing the perceptions in a single variable.

To study psychic costs, we will use the Self and Other scenarios and create a binary variable equal to 1 if the scenario being evaluated corresponds to Other.

To study norms, we will survey responses to Q5.

[NEW October 2026] For the APA sample, secondary outcomes capture recommendations to seek help from different sources and respondents' perceptions of whether professional evaluation or help is warranted.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment involves randomly choosing a list of depression symptoms and severity of symptoms from the PhQ-9 questionnaire to build a scenario that participants are prompted to assess. The two treatment blocks refer to who is the subject of the scenario (Self or Other). we choose symptoms (i.e., items form the PHQ-9 scale) and frequencies so that the combinations of symptoms and frequencies gives an overall score between 5 and 27.
Experimental Design Details
Randomization Method
All participants see scenarios in both Self and Other in randomized order. The list of symptoms and frequencies is randomly selected based on a pre-defined algorithm.

[NEW October 2026] For the APA sample, we use the PHQ-8 questionnaire (eliminate the suicidal ideation question from the PHQ-9 list). We randomize the gender of the subject of the subject of the scenario, which is our main focus. We also randomize the attributes we mention about the subject like age and occupations, keeping these attributes as close as possible.
Randomization Unit
Individual - within subject.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Non-clustered design.
Sample size: planned number of observations
300 individuals who evaluate 4 scenarios.
Sample size (or number of clusters) by treatment arms
1200 observations from 300 individuals who evaluate 4 scenarios each.

[NEW October 2026] For the APA sample, we aim to recruit at least 100 respondents. Recruitment will occur through relevant professional psychology listservs and networks.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB at NHH Norwegian School of Economics
IRB Approval Date
2024-08-29
IRB Approval Number
NHH-IRB 79/24
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials