Development of an empathetic chatbot to monitor perinatal mental health longitudinally
开发具有同理心的聊天机器人来纵向监测围产期心理健康
基本信息
- 批准号:10601903
- 负责人:
- 金额:$ 43.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-04-10 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdherenceBehaviorChildClinicalContinuity of Patient CareDataDetectionDevelopmentDevelopmental Delay DisordersDiagnosisDiscipline of obstetricsDisclosureDropoutEmpathyEnrollmentEnsureEvidence based treatmentExerciseFrightFundingGoalsHealthHealth TechnologyHealth systemInsurance CarriersIntellectual PropertyInterventionInterviewIntuitionJudgmentKnowledgeLicensingLow Birth Weight InfantMarketingMaternal MortalityMeasuresMental HealthMental disordersMobile Health ApplicationModelingMonitorMood DisordersMothersOnset of illnessOutcomePatientsPerinatalPhasePostpartum PeriodPregnancyPregnancy ComplicationsPregnant WomenPremature BirthRandomized, Controlled TrialsResearchRightsRiskRisk AssessmentSecureSmall Business Innovation Research GrantSuicideSurveysSymptomsTechnologyTherapeutic InterventionTimeUnited States Preventative Services Task ForceUpdateValidationWomanadverse childhood eventsapplication programming interfacearmattentional controlbehavioral healthchatbotclinical practicecommercial applicationcostcost effectivenessdashboarddesigndiagnostic screeningdigitalearly pregnancyeffective therapyexperienceimprovedinnovationmaternal morbiditymaternal riskmobile applicationmotherhoodperinatal mental healthpostnatalprenatalprogramsprototypepublic health relevancescreeningsocial stigmatechnological innovationtechnology platformtreatment planningusability
项目摘要
1 ABSTRACT
2 One in five pre- or postnatal women will develop a perinatal mood disorder (PMD). While temporary and
3 treatable, 50-65% of mothers with PMD symptoms never receive a diagnosis or treatment due to inadequate
4 screening practices. PMDs remain undetected because mothers do not trust clinicians due to fear of judgment,
5 stigma, or even loss of parental rights. Untreated PMDs increase risk for maternal mortality, maternal suicide,
6 preterm birth, low birth weight, and adverse childhood experiences. There is an urgent unmet need for
7 comprehensive, real-time perinatal mental health monitoring to connect women to effective treatment. To meet
8 this need, BetterHope LLC (dba Poisera) is developing a technology platform to systemically monitor, screen,
9 refer, and treat PMDs for women from early pregnancy through 36 months postpartum. The platform includes a
10 mobile health (mHealth) app, where a chatbot conversationally engages mothers in daily reflection exercises
11 about pregnancy, motherhood, and mental health. Each week, the chatbot prompts mothers to complete a
12 state-of-the-art, validated adaptive diagnostic screening for PMDs. When a woman screens positive for PMD
13 symptoms, the Poisera platform connects the woman to a Psychiatric Perinatal Access Program (PPAP),
14 where a behavioral health clinician (BHC) will assess risk, deliver a brief therapeutic intervention, and
15 coordinate long-term treatment. BHCs update her risk profile and treatment information in Poisera’s
16 dashboard, where the patient’s clinician can track treatment progress. PPAPs exist in 30 states. PPAPs are
17 proven to improve PMD symptoms and guarantee continuity of care. Using a chatbot to longitudinally monitor
18 and screen for PMDs is an innovative approach because chatbots promote honest disclosure and increase
19 adherence. Further, the Poisera platform transforms the current, inadequate clinical practice for PMD
20 screening and treatment to one where clinicians are confident their patients receive effective treatment at PMD
21 onset because the information is seamlessly integrated into their clinical workflow. The long-term goal of this
22 research is to eliminate adverse health consequences from PMDs. In this Phase I SBIR, we will demonstrate
23 the Poisera platform meets the needs of both pregnant women and clinicians. In Aim I, we will demonstrate
24 that pregnant women find the Poisera app and chatbot usable. In Aim 2, we will demonstrate obstetric
25 clinicians find the Poisera dashboard usable in their clinical workflows. In Aim 3, we will conduct a two-arm
26 feasibility randomized controlled trial (RCT) to measure screening adherence and determine dropout behavior.
27 These outcomes will inform the design of our Phase II RCT, where we aim to demonstrate the Poisera platform
28 cost-effectively improves PMD outcomes for women from pregnancy to 36 months postpartum. Demonstrating
29 effective outcomes on these measures will provide us with the validation needed to sell the Poisera platform to
30 health systems and health insurers, a $2.8 billion annual market size.
31
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