2022
Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study
Peng ML, Wickersham JA, Altice FL, Shrestha R, Azwa I, Zhou X, Halim MAA, Ikhtiaruddin WM, Tee V, Kamarulzaman A, Ni Z. Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study. JMIR Formative Research 2022, 6: e42055. PMID: 36201390, PMCID: PMC9585446, DOI: 10.2196/42055.Peer-Reviewed Original ResearchHIV testingMobile health interventionsMobile health strategiesHealth care professionalsStigmatized health conditionsElevated riskHealth strategiesCare professionalsKey populationsHealth interventionsDigital health toolsFocus group studyHealth awarenessHIVHealth toolsHealth conditionsPervasive stigmaGroup studyPreventionImplementation strategiesPotential implementation strategiesSexual behaviorMenPublic healthTechnical errors
2018
Perceptions of Health-Related Community Reentry Challenges among Incarcerated Drug Users in Azerbaijan, Kyrgyzstan, and Ukraine
Rozanova J, Morozova O, Azbel L, Bachireddy C, Izenberg JM, Kiriazova T, Dvoryak S, Altice FL. Perceptions of Health-Related Community Reentry Challenges among Incarcerated Drug Users in Azerbaijan, Kyrgyzstan, and Ukraine. Journal Of Urban Health 2018, 95: 508-522. PMID: 29728898, PMCID: PMC6095752, DOI: 10.1007/s11524-018-0256-4.Peer-Reviewed Original ResearchConceptsOpioid agonist treatmentSubstance use disordersUse disordersMethadone treatmentDrug usersPoor general healthGeneral health conditionPerception of healthAgonist treatmentDrug injectionGeneral healthHigh prevalenceHealth needsHealth-related tasksLogistic regressionMethadoneHealth conditionsPre-release planningDisordersTreatmentPublic healthTotal samplePrison settingDrugsHealth
2016
Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment
Shrestha R, Huedo-Medina TB, Altice FL, Krishnan A, Copenhaver M. Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment. AIDS And Behavior 2016, 21: 3100-3110. PMID: 28025735, PMCID: PMC5484759, DOI: 10.1007/s10461-016-1637-x.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeAdultCell PhoneConnecticutDelivery of Health CareDrug UsersFemaleHIV InfectionsHumansInternetMaleMethadoneNeurocognitive DisordersOpiate Substitution TreatmentPatient Acceptance of Health CarePrevalenceRisk FactorsRisk-TakingSexual BehaviorSmartphoneSubstance Abuse, IntravenousTelemedicineText MessagingConceptsSex-related risk behaviorsNeurocognitive impairmentDrug usersRisk behaviorsHIV-negative drug usersHigh-risk drug usersHigh-risk populationHigh-risk peopleHIV prevention effortsUse of mHealthMethadone clinicsHIV preventionHigh prevalenceMedication remindersHealth programsMHealth acceptancePrevention effortsHealth conditionsMHealth technologiesConvenience sampleDrugsStandardized assessmentReal-world acceptanceMobile healthPhone calls