Rachel Ouellette, PhD
she/her/hers
Associate Research ScientistAbout
Research
Publications
2025
Psychometric properties of the Nicotine E-cigarette Withdrawal Scale for use with adults
Morean M, Ouellette R, Li W, Sharma A. Psychometric properties of the Nicotine E-cigarette Withdrawal Scale for use with adults. Drug And Alcohol Dependence 2025, 277: 112968. PMID: 41260026, PMCID: PMC12646507, DOI: 10.1016/j.drugalcdep.2025.112968.Peer-Reviewed Original ResearchConceptsPsychometric propertiesWithdrawal ScaleE-cigarette dependenceBetween-group differencesMeasurement invarianceInternal reliabilityTest-criterion relationshipsScalar measurement invarianceBetween-groupTest measurement invarianceConfirmatory factor analysisE-cigarettesNicotine withdrawalNegative affectCessation attemptsConcurrent validityIntervention effortsPhysical symptomsLatent structureNegative physical symptomsFactor analysisCessation effortsWithdrawalNicotineAdult ageStrategic Treatment and Assessment for Youth (STAY): Development of a culturally humble measurement-based care training.
Arora P, Ouellette R, Gupta J, Carmona J, Connors E. Strategic Treatment and Assessment for Youth (STAY): Development of a culturally humble measurement-based care training. School Psychology International 2025 PMID: 41245081, PMCID: PMC12614070, DOI: 10.1177/01430343251389545.Peer-Reviewed Original ResearchMeasurement-based careREM youthCultural humility trainingMental health treatmentRates of mental health needsMental health needsTreatment retentionTreatment engagementHealth treatmentCommunity cliniciansCore aspectsCultural humilityWhite peersREMHealth needsYouthCommunity settingsCultural humility approachCare trainingTreatment assessmentPilot effortInterventionEngagement modelCommunityComputer Vision Models for Detecting Large Cigars on Social Media
Kong G, Keshari S, Ouellette R, Lee J, Murthy D. Computer Vision Models for Detecting Large Cigars on Social Media. Nicotine & Tobacco Research 2025, ntaf206. PMID: 41081730, DOI: 10.1093/ntr/ntaf206.Peer-Reviewed Original ResearchComputer vision modelsVision modelsF1 scoreDigital mediaSocial mediaFalse positivesSocial media contentUser perceptionSocial media platformsGlobal social media platformsShaped objectsComputerMedia platformsScalable approachMedia contentImagesAccuracyRecallScalable methodUsersRedditAutomaticallySubredditsDecision-makingClinician-Reported Determinants for District-Wide Measurement-Based Care Implementation in School Mental Health
Connors E, Ouellette R, Selino S, Tebes J. Clinician-Reported Determinants for District-Wide Measurement-Based Care Implementation in School Mental Health. School Mental Health 2025, 17: 1144-1160. DOI: 10.1007/s12310-025-09809-3.Peer-Reviewed Original ResearchMeasurement-based careImplementation determinantsSchool social workersEvidence-based mental health interventionsMeasurement-based care implementationSchool mental health cliniciansImplementation rateMulticomponent implementation strategySchool mental healthMental health interventionsQuality improvement initiativesMental health cliniciansRisk of disabilitySocial workersSchool settingsSelf-report surveyCare implementationHealth cliniciansHealth interventionsImprovement initiativesMental healthImplementation studyImplementation supportQualitative interviewsRoutine collection‘Fuel your peak performance’: marketing of nicotine pouches to athletes
Mead-Morse E, Galimov A, Unger J, Ouellette R, Kong G. ‘Fuel your peak performance’: marketing of nicotine pouches to athletes. Tobacco Control 2025, tc-2025-059655. PMID: 40962487, PMCID: PMC12505380, DOI: 10.1136/tc-2025-059655.Peer-Reviewed Original ResearchElectronic cigarettes and pregnancy: A social media content analysis
Kong G, Ouellette R, de la Noval A, Kyriakos C, Ponte V, DeVito E. Electronic cigarettes and pregnancy: A social media content analysis. Preventive Medicine 2025, 201: 108387. PMID: 40816348, DOI: 10.1016/j.ypmed.2025.108387.Peer-Reviewed Original ResearchHealthcare providersE-cigarette useE-cigarettesPublic health topicsHealth topicsE-cigarette cessationUnited KingdomElectronic cigarettesPregnant individualsHealthcareProvidersChi-squareKruskal-Wallis testPregnancyEngagement metricsKruskal-WallisUnited StatesEngagementEffective messengersPostMessengerCigaretteYearsKingdomUsePromoting work-related well-being of after-school staff via effectiveness and connectedness: A mixed method study.
Ouellette, R.R., Moreira, E.A., Tran, M., & Frazier, S.L. (2025). Promoting work-related well-being of after-school staff via effectiveness and connectedness: A mixed method study. Children and Youth Services Review. DOI: 10.1016/j.childyouth.2025.108458Peer-Reviewed Original ResearchPromoting work-related well-being of after-school staff via effectiveness and connectedness: a mixed method study
Ouellette R, Moreira E, Tran M, Frazier S. Promoting work-related well-being of after-school staff via effectiveness and connectedness: a mixed method study. Children And Youth Services Review 2025, 177: 108458. PMID: 40860124, PMCID: PMC12376779, DOI: 10.1016/j.childyouth.2025.108458.Peer-Reviewed Original ResearchWork-related well-beingAfter-schoolWell-beingProvider well-beingAbsence of adequate resourcesAfter-school staffMixed methods studyMixed methods approachFollow-up interviewsMethods studyEmotional fatigueQuantification of qualitative dataSupportive relationshipsProvidersSocial-emotional developmentAdequate resourcesQualitative dataQuantitative findingsEffective communicationStaffWork environmentYouth needsIneffective supportStressful eventsSocial capitalMeasurement-Based Care Implementation by K-12 Public School Clinicians: A Mixed Methods Proof of Concept Study
Connors, E.H., Ouellette, R.R., Selino, S., & Tebes, J. (in press) Measurement-Based Care Implementation by K-12 Public School Clinicians: A Mixed Methods Proof of Concept Study. School Mental Health.Peer-Reviewed Original Research In PressRemediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media
Sharp K, Babaeianjelodar M, Murthy D, Ouellette R, Lee J, de la Noval A, Kamdar N, Kong G. Remediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media. Information Communication & Society 2025, ahead-of-print: 1-20. DOI: 10.1080/1369118x.2025.2500485.Peer-Reviewed Original ResearchVideo framesLeverage computer visionRule-based classifierComputer vision technologyRule-based classificationSocial mediaComputer visionVision technologyDetect postsWarning messagesWarning labelsInformation consumersClassifierE-cigarettesVideoYouTubeYouTube videosDigital sphereHarms of tobacco useExposure to tobacco promotionBig TobaccoDigital landscapeE-cigarette manufacturersTikTokBig
Academic Achievements & Community Involvement
News & Links
News
- July 28, 2025
Ouellette Honored with YCCI Scholar Award
- June 17, 2024
Modification of Electronic Nicotine Delivery Systems Among Adolescents and Young Adults
- November 03, 2023Source: JAMA Network Open
Electronic Nicotine Delivery Systems and E-Liquid Modifications to Vape Cannabis Depicted in Online Videos
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Mailing Address
Yale School of Medicine
34 Park Street
New Haven, CT 06519
United States