Mobile Screening for Major Depressive Disorder in Adults From an Ethnically and Socioeconomically Diverse Population.
MOOD
1 other identifier
interventional
1,786
1 country
1
Brief Summary
Major depressive disorder (MDD) is a mental disorder leading to a variety of emotional and physical problems affecting almost 300 million people worldwide. Long-term treatments for MDD, including medication and therapy, imposes a significant financial burden on society. Mobile-based screening interventions might be a promising approach for effectively reducing MDD symptoms. The investigators hypothesize that the mobile-based screening strategy evaluated in this proposal will substantially reduce the burden of MDD over time, increase participants' quality of life, and decrease MDD-related disparities
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable major-depressive-disorder
Started Sep 2024
Longer than P75 for not_applicable major-depressive-disorder
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 9, 2023
CompletedFirst Posted
Study publicly available on registry
August 14, 2023
CompletedStudy Start
First participant enrolled
September 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 1, 2028
August 24, 2025
August 1, 2025
3.1 years
May 9, 2023
August 19, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Quality of life scores after 12 months
Primary outcomes of the trial include participants' quality of life after 12 months as measured by the The 5-level EuroQuol-5D (EQ-5D-5L) between two intervention groups and the control group. EQ-5D-5L is being used as a 5-item self-report validated questionnaire for assessing health and health-related quality of life across five core dimensions (5D): mobility, self-care, daily activities, pain/discomfort, and anxiety/depression and has been widely used to measure the quality of life. Items are scored on zero-five levels of severity (5L) for each dimension. Higher scores represent decreased quality of life on that particular day with a minimum score of 5 and a maximum score of 25.
12 months
Secondary Outcomes (1)
Major depressive disorder symptoms
12 months
Other Outcomes (1)
Quality of life follow up
24 months
Study Arms (3)
Control arm
NO INTERVENTIONa control arm where the investigators will only measure the quality of life using the EQ-5D questionnaire. This measurement will be performed at the same time as both screening arms.
Standard referral
EXPERIMENTALa screening arm with standard participant referral for diagnosis at the general practitioner's office (after 1 positive test score on the PHQ-9 questionnaire or suicidal ideation).
Limited referral
EXPERIMENTALa screening arm with limited participant referral for diagnosis at the general practitioner's office (after three consecutive positive test scores on the PHQ-9 questionnaire or suicidal ideation).
Interventions
Both intervention arms will have 4-weekly screening with either lenient follow-up or screening with stricter follow-up for a time period of one year. Data will be collected via an app designed by Your Research which runs on Microsoft Azure server, as the primary of participants' response collection. A dedicated backup system will serve as a secondary data collection.
Eligibility Criteria
You may qualify if:
- At least 18 years old Live in Rotterdam Zuid
- Have access to a smartphone or tablet.
- Give informed consent
You may not qualify if:
- \- Is currently treated by a psychologist or psychiatrist for depressive symptoms
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Erasmus MC
Rotterdam, Netherlands
Related Publications (18)
Abdoli N, Salari N, Darvishi N, Jafarpour S, Solaymani M, Mohammadi M, Shohaimi S. The global prevalence of major depressive disorder (MDD) among the elderly: A systematic review and meta-analysis. Neurosci Biobehav Rev. 2022 Jan;132:1067-1073. doi: 10.1016/j.neubiorev.2021.10.041. Epub 2021 Nov 4.
PMID: 34742925BACKGROUNDAlmeida OP. Prevention of depression in older age. Maturitas. 2014 Oct;79(2):136-41. doi: 10.1016/j.maturitas.2014.03.005. Epub 2014 Mar 22.
PMID: 24713453BACKGROUNDGotlib IH, Goodman SH, Humphreys KL. Studying the Intergenerational Transmission of Risk for Depression: Current Status and Future Directions. Curr Dir Psychol Sci. 2020 Apr 1;29(2):174-179. doi: 10.1177/0963721420901590. Epub 2020 Feb 24.
PMID: 33758474BACKGROUNDHall CA, Reynolds-Iii CF. Late-life depression in the primary care setting: challenges, collaborative care, and prevention. Maturitas. 2014 Oct;79(2):147-52. doi: 10.1016/j.maturitas.2014.05.026. Epub 2014 Jun 7.
PMID: 24996484BACKGROUNDGBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1789-1858. doi: 10.1016/S0140-6736(18)32279-7. Epub 2018 Nov 8.
PMID: 30496104BACKGROUNDKalibatseva Z, Leong FT. Depression among Asian Americans: Review and Recommendations. Depress Res Treat. 2011;2011:320902. doi: 10.1155/2011/320902. Epub 2011 Sep 27.
PMID: 21961060BACKGROUNDKroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
PMID: 11556941BACKGROUNDLiu Q, He H, Yang J, Feng X, Zhao F, Lyu J. Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. J Psychiatr Res. 2020 Jul;126:134-140. doi: 10.1016/j.jpsychires.2019.08.002. Epub 2019 Aug 10.
PMID: 31439359BACKGROUNDO'Connor EA, Whitlock EP, Beil TL, Gaynes BN. Screening for depression in adult patients in primary care settings: a systematic evidence review. Ann Intern Med. 2009 Dec 1;151(11):793-803. doi: 10.7326/0003-4819-151-11-200912010-00007.
PMID: 19949145BACKGROUNDPark LT, Zarate CA Jr. Depression in the Primary Care Setting. N Engl J Med. 2019 Feb 7;380(6):559-568. doi: 10.1056/NEJMcp1712493.
PMID: 30726688BACKGROUNDPosternak MA, Miller I. Untreated short-term course of major depression: a meta-analysis of outcomes from studies using wait-list control groups. J Affect Disord. 2001 Oct;66(2-3):139-46. doi: 10.1016/s0165-0327(00)00304-9.
PMID: 11578666BACKGROUNDRohde P, Lewinsohn PM, Klein DN, Seeley JR, Gau JM. Key Characteristics of Major Depressive Disorder Occurring in Childhood, Adolescence, Emerging Adulthood, Adulthood. Clin Psychol Sci. 2013 Jan;1(1):10.1177/2167702612457599. doi: 10.1177/2167702612457599.
PMID: 24273703BACKGROUNDSiu AL; US Preventive Services Task Force (USPSTF); Bibbins-Domingo K, Grossman DC, Baumann LC, Davidson KW, Ebell M, Garcia FA, Gillman M, Herzstein J, Kemper AR, Krist AH, Kurth AE, Owens DK, Phillips WR, Phipps MG, Pignone MP. Screening for Depression in Adults: US Preventive Services Task Force Recommendation Statement. JAMA. 2016 Jan 26;315(4):380-7. doi: 10.1001/jama.2015.18392.
PMID: 26813211BACKGROUNDSobocki P, Jonsson B, Angst J, Rehnberg C. Cost of depression in Europe. J Ment Health Policy Econ. 2006 Jun;9(2):87-98.
PMID: 17007486BACKGROUNDSteensma C, Loukine L, Orpana H, McRae L, Vachon J, Mo F, Boileau-Falardeau M, Reid C, Choi BC. Describing the population health burden of depression: health-adjusted life expectancy by depression status in Canada. Health Promot Chronic Dis Prev Can. 2016 Oct;36(10):205-213. doi: 10.24095/hpcdp.36.10.01.
PMID: 27768557BACKGROUNDWhiteford HA, Harris MG, McKeon G, Baxter A, Pennell C, Barendregt JJ, Wang J. Estimating remission from untreated major depression: a systematic review and meta-analysis. Psychol Med. 2013 Aug;43(8):1569-85. doi: 10.1017/S0033291712001717. Epub 2012 Aug 10.
PMID: 22883473BACKGROUNDYildiz B, Schuring M, Knoef MG, Burdorf A. Chronic diseases and multimorbidity among unemployed and employed persons in the Netherlands: a register-based cross-sectional study. BMJ Open. 2020 Jul 2;10(7):e035037. doi: 10.1136/bmjopen-2019-035037.
PMID: 32616488BACKGROUNDZandbergen MME, Jansen EEL, Jabbarian LJ, de Koning HJ, de Kok IMCM. A mobile-based randomized controlled trial on the feasibility and effectiveness of screening for major depressive disorder: study protocol. BMC Psychol. 2024 Dec 18;12(1):742. doi: 10.1186/s40359-024-02230-6.
PMID: 39695914DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Inge de Kok, PhD
Erasmus Medical Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
May 9, 2023
First Posted
August 14, 2023
Study Start
September 1, 2024
Primary Completion (Estimated)
October 1, 2027
Study Completion (Estimated)
October 1, 2028
Last Updated
August 24, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- The data will be published within 10 months and will be available from then on.
- Access Criteria
- Open source publication
Data of participants that did not grant permission to reuse their data for future research will have to be removed. Furthermore, further pseudonymisation and/or aggregation of the pseudonymised dataset would be required to secure the privacy of the participants and avoid indirect identification. The accessibility of the collected data could be important for potential follow-up research of this project and/or similar national/international projects that would like to perform analyses on our data because not much is known yet on the implementation of screening for MDD.