Clinical Decision Support Tool for Postpartum Depression
This study is testing a new computer tool called a Clinical Decision Support Tool. This tool uses artificial intelligence (AI) to help doctors identify pregnant women who might be at high risk for developing postpartum depression (PPD) after their baby is born. The tool will give doctors a risk score, tell them what factors might increase the risk, and suggest actions they can take, including ordering specific services. The study wants to see if this tool is easy for doctors to use and if it helps more women get the mental health care they need for PPD. You can join if you are 18 or older, are pregnant (20 weeks or more), and are seen at one of the participating clinics. The study is currently unclear about its recruitment status.
- Study design
- This is an interventional study with 160 planned participants. Some participants will receive usual care, while others will have their doctors use the Clinical Decision Support Tool.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study measures how well the tool is accepted, appropriate, and feasible one month and three months after its use begins.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Implementation of a Clinical Decision Support Tool for Postpartum Depression
At a glance
Conditions
Where it's being run
4 sites across 1 statesStudy leadership
- Yiye Zhang, PhD · PRINCIPAL_INVESTIGATOR · Weill Medical College of Cornell University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Acceptability as measured by Unified Theory of Technology Acceptance Theory (UTAUT).One month after initiation of tool use and three months after use.
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
- Appropriateness as measured by Appropriateness Measure (IAM).One month after initiation of tool use and three months after use.
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.
- Feasibility as measured by Feasibility of Intervention Measure (FIM).One month after initiation of tool use and three months after use.
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.
- Mental Health service utilization as measured by number of mental health visitsone month and three month
Mental health service utilization includes presentations to ED or inpatient admission for mental health related reasons.