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RecruitingNCT06818734CDSUpdated Jul 30, 2026

Implementation of a Clinical Decision Support Tool for Postpartum Depression

An interventional study of Clinical Decision Support Tool in Postpartum Depression, sponsored by Weill Medical College of Cornell University. Recruiting at 4 sites in United States. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-30.

Sponsored by Weill Medical College of Cornell University · Not applicable, Interventional, and Supportive care

From the registry’s dates

  • Started Jul 2026; still recruiting 3 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
160
Allocation
Randomized
Ages
18 Years and older
Sex
Female
01

Study summary

This study will evaluate the use of an automated process in the electronic health record (EHR) that will help providers to detect patients at risk of developing postpartum depression (PPD).

Read the detailed description

The goal of this randomized clinical trial is to assess the implementation of a clinical decision support (CDS) tool. The tool is designed to assist providers in managing patients at risk of developing of postpartum depression.

Investigators hypothesize that this tool will be acceptable and feasible for use and improve the use of mental health services for postpartum depression.

Patients in the control arm will receive usual care, while those in the intervention arm will receive CDS.

Clinicians will manage patients per usual care, including initiating PPD preventive such as conducting referrals to nutrition and behavioral health, suggest educational readings through patient portals, or no actions. Clinicians in the intervention arm will refer patients based on the CDS.

02

Conditions studied

  • Postpartum Depression

Keywords

  • Clinical decision support tool
03

In context

Depression, Postpartum

528 studies on the registry are indexed under Depression, Postpartum; 124 are open to participants now.

This study's planned enrollment of 160 is above the median of 105 across 425 interventional studies indexed under Depression, Postpartum.

Browse Depression, Postpartum studies →

Lead sponsor

Weill Medical College of Cornell University is the lead sponsor of 867 studies on the registry; 160 are open to participants now.

Of its 119 completed or terminated interventional studies of FDA-regulated products, 91 (76%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
Yes

Inclusion criteria

  • 18 years or older
  • being seen at one of participating clinics
  • pregnancy at 20 week gestation or more

Exclusion criteria

Exclusion Criteria:

  • Does not speak inclusion
  • does not have internet access

Clinician eligibility:

  • If they manage patients in the three clinics as a board-certified OBGYN clinician.
  • No exclusion criteria apply for clinician based on their knowledge and experience in treating PPD
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Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
160 participants (estimated)

Study arms

  • Experimental
    Intervention: CDS support , clinician

    Clinicians in the intervention arm will refer patients based on the CDS.The CDS will alert clinicians only if patients have high risk of developing PPD, and provide clinicians with risk score, risk factors, and anticipatory actions with an order set to assist with ordering. Clinicians will make the ultimate clinical judgement after receiving CDS aid, including taking no actions towards PPD prevention. Clinicians will manage patients per usual care, including initiating PPD preventive such as conducting referrals to nutrition and behavioral health, suggest educational readings through patient portals, or no actions.

    Other: Clinical Decision Support Tool

  • No intervention
    No intervention: Patients

    The CDS will alert clinicians only if patients have high risk of developing PPD. Clinicians will manage patients per usual care, including initiating PPD preventive such as conducting referrals to nutrition and behavioral health, suggest educational readings through patient portals, or no actions.

  • Experimental
    Intervention: Patients

    Other: Clinical Decision Support Tool

Interventions

  • OtherClinical Decision Support Tool

    The CDS in and AI algorithm that will alert clinicians only if patients have high risk of developing PPD, and provide clinicians with risk score, risk factors, and anticipatory actions with an order set to assist with ordering. Clinicians will make the ultimate clinical judgement after receiving CDS aid, including taking no actions towards PPD prevention. Clinicians will manage patients per usual care, including initiating PPD prevention such as conducting referrals to nutrition and behavioral health, suggest educational readings through patient portals, or no actions. Clinicians in the intervention arm will refer patients based on the CDS.

06

What researchers measure

Primary outcomes

  1. Acceptability as measured by Unified Theory of Technology Acceptance Theory (UTAUT).

    UTAUT has five constructs: performance expectation, effort expectation, social influence, facilitating conditions, and behavioral intention. The performance expectation construct in UTAUT is the CDS's ability to identify patients at risk of PPD that clinicians agree with. For each construct, responses will be sought in the 7-point Likert scale, setting 1 as 'strongly disagree', 2 as 'disagree', to 7 as 'strongly agree'. We will average the acceptability survey responses at the end of the study for each of the 5 UTAUT constructs to create a binary variable. An average score of 5 or above will be considered acceptance and non-acceptance otherwise

    Time frame: One month after initiation of tool use and three months after use.

  2. Appropriateness as measured by Appropriateness Measure (IAM).

    IAM is a 4-item measure to assess the appropriateness of the intervention, respectively, with excellent usability. IAM is to be answered by participants in 5-point response scale: 1 = Completely disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Completely agree.

    Time frame: One month after initiation of tool use and three months after use.

  3. Feasibility as measured by Feasibility of Intervention Measure (FIM).

    FIM is a 4-item measure to assess the feasibility of the intervention, respectively, with excellent usability. FIM is to be answered by participants in 5-point response scale: 1 = Completely disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Completely agree.

    Time frame: One month after initiation of tool use and three months after use.

  4. Mental Health service utilization as measured by number of mental health visits

    Mental health service utilization includes presentations to ED or inpatient admission for mental health related reasons.

    Time frame: one month and three month

07

Study locations

3 of 4 sites recruiting
  • Center for Community Health: 515 6th street (3rd floor)
    Brooklyn, New York 11215, United States
    • Tracy Grossman, MD · Contact · trg2005@med.cornell.edu
    • Jessica Miller · Contact · 718-499-2273
    • Tracy Grossman, MD · Sub investigator
    Not yet recruiting
  • Ob GYN Lower Manhattan 156 William street, New York City
    New York, New York 10038, United States
    Recruiting
  • Weill Cornell Medicine OBGYN practice 72 street
    New York, New York 10065, United States
    • Allison Boester, MD · Contact
    Recruiting
  • Weill Cornell Medicine- Women's Health practice 505 East 70th street, New York City
    New York, New York 10065, United States
    Recruiting
08

References and documents

Publications

  • Krause N, Borawski-Clark E. Social class differences in social support among older adults. Gerontologist. 1995 Aug;35(4):498-508. doi: 10.1093/geront/35.4.498. PubMed 7557520 ↗
  • Rabin R, de Charro F. EQ-5D: a measure of health status from the EuroQol Group. Ann Med. 2001 Jul;33(5):337-43. doi: 10.3109/07853890109002087. PubMed 11491192 ↗
  • Weiner BJ, Lewis CC, Stanick C, Powell BJ, Dorsey CN, Clary AS, Boynton MH, Halko H. Psychometric assessment of three newly developed implementation outcome measures. Implement Sci. 2017 Aug 29;12(1):108. doi: 10.1186/s13012-017-0635-3. PubMed 28851459 ↗
  • Zhang Y, Wang S, Hermann A, Joly R, Pathak J. Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women. J Affect Disord. 2021 Jan 15;279:1-8. doi: 10.1016/j.jad.2020.09.113. Epub 2020 Sep 30. PubMed 33035748 ↗
  • Wang S, Pathak J, Zhang Y. Using Electronic Health Records and Machine Learning to Predict Postpartum Depression. Stud Health Technol Inform. 2019 Aug 21;264:888-892. doi: 10.3233/SHTI190351. PubMed 31438052 ↗
  • Venkatesh KK, Nadel H, Blewett D, Freeman MP, Kaimal AJ, Riley LE. Implementation of universal screening for depression during pregnancy: feasibility and impact on obstetric care. Am J Obstet Gynecol. 2016 Oct;215(4):517.e1-8. doi: 10.1016/j.ajog.2016.05.024. Epub 2016 May 20. PubMed 27210067 ↗
  • Dunkel Schetter C, Tanner L. Anxiety, depression and stress in pregnancy: implications for mothers, children, research, and practice. Curr Opin Psychiatry. 2012 Mar;25(2):141-8. doi: 10.1097/YCO.0b013e3283503680. PubMed 22262028 ↗
  • Cox EQ, Sowa NA, Meltzer-Brody SE, Gaynes BN. The Perinatal Depression Treatment Cascade: Baby Steps Toward Improving Outcomes. J Clin Psychiatry. 2016 Sep;77(9):1189-1200. doi: 10.4088/JCP.15r10174. PubMed 27780317 ↗
  • Werner E, Miller M, Osborne LM, Kuzava S, Monk C. Preventing postpartum depression: review and recommendations. Arch Womens Ment Health. 2015 Feb;18(1):41-60. doi: 10.1007/s00737-014-0475-y. Epub 2014 Nov 25. PubMed 25422150 ↗
  • Curtin SC, Abma JC, Ventura SJ, Henshaw SK. Pregnancy rates for U.S. women continue to drop. NCHS Data Brief. 2013 Dec;(136):1-8. PubMed 24314113 ↗
  • Joly R, Gossey TJ, Daoud AK, Zhang Y. Implementation of a clinical decision support tool for postpartum depression: protocol for a prospective randomised clinical trial. BMJ Open. 2026 May 18;16(5):e114571. doi: 10.1136/bmjopen-2025-114571. PubMed 42150830 ↗

Individual participant data

Plan to share: Yes — The study protocol with the statistical analysis plan will be available following publication.

Supporting information: Study protocol, Sap, Icf

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 30, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06818734
Lead sponsor
Weill Medical College of Cornell University
Responsible party
Sponsor
First posted
Feb 10, 2025
Start date
Jul 1, 2026
Primary completion
Dec 1, 2026 (estimated)
Completion
Dec 1, 2026 (estimated)
Last update
Jul 30, 2026

Study contacts

Rochelle Joly, MD
Contact
roj9069@med.cornell.edu
646-962-4222
Yiye Zhang, PhD
principal investigator · Weill Medical College of Cornell University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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