About this trial
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).
Eligibility criteria
This trial accepts healthy volunteersQualifiers
18 years or older
being seen at one of participating clinics
pregnancy at 20 week gestation or more
Disqualifiers
Does not speak inclusion
does not have internet access
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
Trial design
Parallel
Treatments tested in this trial
Clinical Decision Support Tool
Other interventionThe 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.
Treatment groups
Trial outcomes
Primary outcomes
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
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.
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.
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.
Sponsors and contacts
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