Adjunct Faculty
Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsPatricia Simon, PhD
Assistant Professor Adjunct of PsychiatryAbout
My work integrates epidemiological research and digital therapeutics to advance behavioral health. I lead NIH-funded studies on nicotine use trajectories and have developed software as a medical device for suicide prevention, binge eating/obesity, and PTSD. I also co-founded Innovation to Impact, training 120+ scientists who have raised $100M+ to advance their innovations.
Research
Publications
Featured Publications
A Digital Therapeutic Intervention for Inpatients With Elevated Suicide Risk
Bryan C, Simon P, Wilkinson S, Allen M, Perez J, Adler C, Moon K, Astorino L, Carpenter K, Misquitta L, Brownlowe K, Khazem L, Hay J, Starkey A, Tartaglia J, Winston H, Simpson S, Dager A, Feuerstein S. A Digital Therapeutic Intervention for Inpatients With Elevated Suicide Risk. JAMA Network Open 2025, 8: e2525809. PMID: 40779267, PMCID: PMC12334960, DOI: 10.1001/jamanetworkopen.2025.25809.Peer-Reviewed Original ResearchConceptsCognitive behavioral therapyActual suicide attemptsElevated suicide riskSuicidal ideationSuicide attemptsSuicide riskFollow-up suicide attemptsTrajectories of suicidal ideationRate of suicide attemptsRecurrent suicide attemptsSuicide risk assessmentSuicide attempt ratePsychiatric inpatient unitBehavioral therapySuicidal behaviorTherapeutic interventionsSupportive listeningIdeationTherapeutic groupsClinical improvementRandomized clinical trialsOutpatient treatmentAttempt rateSuicideSuicide preventionSocioecological factors associated with multiple nicotine product use among U.S. youth: Findings from the population assessment of tobacco and health (PATH) study 2013–2018
Simon P, Stefanovics E, Ying S, Gueorguieva R, Krishnan-Sarin S, Buta E. Socioecological factors associated with multiple nicotine product use among U.S. youth: Findings from the population assessment of tobacco and health (PATH) study 2013–2018. Preventive Medicine 2024, 183: 107956. PMID: 38615947, DOI: 10.1016/j.ypmed.2024.107956.Peer-Reviewed Original ResearchPopulation Assessment of Tobacco and HealthNicotine product useU.S. youthAssociated with tobacco useEstimate adjusted associationsPopulation AssessmentPromote harm reductionTobacco product useMultinomial logistic regressionTobacco useAdjusted associationsSocioecological approachStudy Wave 1Harm reductionProduct useIntrapersonal factorsLogistic regressionWave 1Family factorsLifetime historyNicotine productsOlder ageLifetime usersYouthPrevent escalationThe first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths
Simon P, Buta E, Jackson A, Camenga D, Kong G, Morean M, Bold K, Davis D, Krishnan-Sarin S, Gueorguieva R. The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths. Preventive Medicine 2023, 169: 107437. PMID: 36731754, PMCID: PMC10507373, DOI: 10.1016/j.ypmed.2023.107437.Peer-Reviewed Original ResearchConceptsNicotine product useSymptoms of dependenceNicotine dependenceMultiple product useSmokeless tobaccoNicotine productsProduct useSeparate multinomial logistic regression modelsHealth Study Waves 1Wave 1Smokeless tobacco usersHigher nicotine dependence scoresNicotine dependence scoresDemographic factorsLogistic regression modelsMultinomial logistic regression modelsMultivariable modelTobacco usersHigh riskDependence scoresSymptomsGreater likelihoodUse statusWave 4Regression modelsLongitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study
Simon P, Jiang Y, Buta E, Sartor CE, Krishnan-Sarin S, Gueorguieva R. Longitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study. JAMA Network Open 2022, 5: e223549. PMID: 35319763, PMCID: PMC8943628, DOI: 10.1001/jamanetworkopen.2022.3549.Peer-Reviewed Original ResearchConceptsNicotine product useCigar useTobacco usersTobacco useHealth StudyCigarette useProduct useWave 1Significant public health concernLongitudinal trajectoriesPublic health concernNon-Hispanic whitesTobacco product useLogistic regression modelsTobacco use behaviorsComplex survey designMultinomial logistic regression modelsDays of useSocioecological factorsMAIN OUTCOMESmokeless tobaccoLower oddsNicotine productsLatent class growth analysisSociodemographic factorsTransitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2
Simon P, Buta E, Gueorguieva R, Kong G, Morean ME, Camenga D, Bold KW, Krishnan‐Sarin S. Transitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2. Addiction 2020, 115: 740-747. PMID: 31618491, PMCID: PMC7361287, DOI: 10.1111/add.14828.Peer-Reviewed Original ResearchConceptsUse of cigarettesE-cigarettesHealth Study Waves 1Wave 1US youthProbability of progressionUsers of cigarettesNon-institutionalized populationTobacco use statusTobacco use profilesSocio-demographic predictorsRate of useCurrent useProspective surveyMore tobacco productsLatent transition analysisSmokeless tobaccoNicotine productsHealth StudyUS civilianParental education levelTobacco productsCigarettesPopulation AssessmentUse statusSocioeconomic status and adolescent e-cigarette use: The mediating role of e-cigarette advertisement exposure
Simon P, Camenga D, Morean M, Kong G, Bold KW, Cavallo DA, Krishnan-Sarin S. Socioeconomic status and adolescent e-cigarette use: The mediating role of e-cigarette advertisement exposure. Preventive Medicine 2018, 112: 193-198. PMID: 29673887, PMCID: PMC6007030, DOI: 10.1016/j.ypmed.2018.04.019.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette advertisementsSocioeconomic statusAdolescent e-cigarette useE-cigarette advertising exposureAdvertising exposureLow socioeconomic statusE-cigarette advertisingTobacco product useDifferent SES groupsHigher socioeconomic statusRace/ethnicityE-cigarette advertisement exposureCigarette useS groupPast month frequencyAnonymous surveyCigarette advertisingProduct useAdvertisement exposureYouth exposureGreater frequencyExposureAssociationGreater exposureYouth E-cigarette, Blunt, and Other Tobacco Use Profiles: Does SES Matter?
Simon P, Camenga DR, Kong G, Connell CM, Morean ME, Cavallo DA, Krishnan-Sarin S. Youth E-cigarette, Blunt, and Other Tobacco Use Profiles: Does SES Matter? Tobacco Regulatory Science 2017, 3: 115-127. PMID: 29082301, PMCID: PMC5654631, DOI: 10.18001/trs.3.1.12.Peer-Reviewed Original ResearchUpdate of Adolescent Smoking Cessation Interventions: 2009–2014
Simon P, Kong G, Cavallo DA, Krishnan-Sarin S. Update of Adolescent Smoking Cessation Interventions: 2009–2014. Current Addiction Reports 2015, 2: 15-23. PMID: 26295017, PMCID: PMC4540362, DOI: 10.1007/s40429-015-0040-4.Peer-Reviewed Original ResearchAn evaluation of training for lay providers in the use of motivational interviewing to promote academic achievement among urban youth
Simon P, Ward NL. An evaluation of training for lay providers in the use of motivational interviewing to promote academic achievement among urban youth. Advances In School Mental Health Promotion 2014, 7: 255-270. PMID: 26356248, PMCID: PMC4561511, DOI: 10.1080/1754730x.2014.949062.Peer-Reviewed Original ResearchGroup supervision sessionsAcademic achievementMotivational Interviewing Training ProgramBooster sessionsSupervision sessionsMI adherent behaviorsHours of trainingEvaluation of trainingSchool-based settingsIntrinsic motivationTraining outcomesMI trainingMI principlesLay advisorsHigh motivationLay providersMinority youthTraining programUrban youthSimulated clientsTrainingSessionsReal clientsFurther trainingMotivation
2025
Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses
Buta E, Simon P, Gueorguieva R. Three-Part Random Effect Models for Longitudinal Skewed Survey Data With “Not Applicable” Responses. Journal Of Educational And Behavioral Statistics 2025 DOI: 10.3102/10769986251318028.Peer-Reviewed Original Research
Academic Achievements & Community Involvement
News
News
- August 08, 2025
Yale Study: Mobile Phone App Reduced Suicidal Behavior Among High-Risk Patients
- May 01, 2024Source: Yale News
Understanding Youth Nicotine Use to Prevent Initiation and Escalation
- August 02, 2023
Simon to Present at NIH Diversity Supplement Professional Development Workshop
- February 22, 2023Source: Preventive Medicine
Yale Study: First Nicotine Product Tried Correlates With Current Product Use and Nicotine Dependence in Youth