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
2015
Latent class analysis of substance use among men who have sex with men in Malaysia: Findings from the Asian Internet MSM Sex Survey
Lim SH, Cheung DH, Guadamuz TE, Wei C, Koe S, Altice FL. Latent class analysis of substance use among men who have sex with men in Malaysia: Findings from the Asian Internet MSM Sex Survey. Drug And Alcohol Dependence 2015, 151: 31-37. PMID: 25865907, DOI: 10.1016/j.drugalcdep.2015.02.040.Peer-Reviewed Original ResearchConceptsSubstance useMalaysian MSMMultinational online surveyAmphetamine-type stimulant useMale sex partnersInconsistent condom useSexual risk behaviorsSubstance use patternsRecreational drug useErectile dysfunction drugsHIV statusHIV epidemicHIV preventionRisk groupsHigh prevalenceATS useSex partnersDrug useCondom useRisk behaviorsRisk profileStimulant useGroup sexMSMLatent class analysis