2024
Testing the Feasibility and Acceptability of Using an Artificial Intelligence Chatbot to Promote HIV Testing and Pre-Exposure Prophylaxis in Malaysia: Mixed Methods Study.
Cheah M, Gan Y, Altice F, Wickersham J, Shrestha R, Salleh N, Ng K, Azwa I, Balakrishnan V, Kamarulzaman A, Ni Z. Testing the Feasibility and Acceptability of Using an Artificial Intelligence Chatbot to Promote HIV Testing and Pre-Exposure Prophylaxis in Malaysia: Mixed Methods Study. JMIR Human Factors 2024, 11: e52055. PMID: 38277206, PMCID: PMC10858413, DOI: 10.2196/52055.Peer-Reviewed Original ResearchConceptsUptake of HIV testingHIV testingPre-exposure prophylaxisUnified Theory of AcceptanceFrequency of HIV testingTheory of AcceptanceAI chatbotsPromote HIV testingMental health supportHIV risk assessmentHIV prevention effortsHIV-related informationMixed methods studyPresence of stigmaUse of TechnologyConsequences of HIVEffort expectancySexually transmitted infectionsWeb-based surveyEngaging MSMArtificial intelligenceTranscribed verbatimPrEP uptakeHealth supportMental health
2022
Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Haeuser E, Serfes A, Cork M, Yang M, Abbastabar H, Abhilash E, Adabi M, Adebayo O, Adekanmbi V, Adeyinka D, Afzal S, Ahinkorah B, Ahmadi K, Ahmed M, Akalu Y, Akinyemi R, Akunna C, Alahdab F, Alanezi F, Alanzi T, Alene K, Alhassan R, Alipour V, Almasi-Hashiani A, Alvis-Guzman N, Ameyaw E, Amini S, Amugsi D, Ancuceanu R, Anvari D, Appiah S, Arabloo J, Aremu O, Asemahagn M, Jafarabadi M, Awedew A, Quintanilla B, Ayanore M, Aynalem Y, Azari S, Azene Z, Darshan B, Babalola T, Baig A, Banach M, Bärnighausen T, Bell A, Bhagavathula A, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bijani A, Bitew Z, Bohlouli S, Bolarinwa O, Boloor A, Bozicevic I, Butt Z, Cárdenas R, Carvalho F, Charan J, Chattu V, Chowdhury M, Chu D, Cowden R, Dahlawi S, Damiani G, Darteh E, Darwesh A, das Neves J, Weaver N, De Leo D, De Neve J, Deribe K, Deuba K, Dharmaratne S, Dianatinasab M, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Dubljanin E, Duko B, El Tantawi M, El-Jaafary S, Eshrati B, Eskandarieh S, Eyawo O, Ezeonwumelu I, Ezzikouri S, Farzadfar F, Fattahi N, Fauk N, Fernandes E, Filip I, Fischer F, Foigt N, Foroutan M, Fukumoto T, Gad M, Gaidhane A, Gebregiorgis B, Gebremedhin K, Getacher L, Ghadiri K, Ghashghaee A, Golechha M, Gubari M, Gugnani H, Guimarães R, Haider M, Haj-Mirzaian A, Hamidi S, Hashi A, Hassanipour S, Hassankhani H, Hayat K, Herteliu C, Ho H, Holla R, Hosseini M, Hosseinzadeh M, Hwang B, Ibitoye S, Ilesanmi O, Ilic I, Ilic M, Islam R, Iwu C, Jakovljevic M, Jha R, Ji J, Johnson K, Joseph N, Joshua V, Joukar F, Jozwiak J, Kalankesh L, Kalhor R, Kamyari N, Kanchan T, Matin B, Karimi S, Kayode G, Karyani A, Keramati M, Khan E, Khan G, Khan M, Khatab K, Khubchandani J, Kim Y, Kisa A, Kisa S, Kopec J, Kosen S, Laxminarayana S, Koyanagi A, Krishan K, Defo B, Kugbey N, Kulkarni V, Kumar M, Kumar N, Kusuma D, La Vecchia C, Lal D, Landires I, Larson H, Lasrado S, Lee P, Li S, Liu X, Maleki A, Malik P, Mansournia M, Martins-Melo F, Mendoza W, Menezes R, Mengesha E, Meretoja T, Mestrovic T, Mirica A, Moazen B, Mohamad O, Mohammad Y, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed S, Mohammed S, Mokdad A, Moradi M, Moraga P, Mubarik S, Mulu G, Mwanri L, Nagarajan A, Naimzada M, Naveed M, Nazari J, Ndejjo R, Negoi I, Ngalesoni F, Nguefack-Tsague G, Ngunjiri J, Nguyen C, Nguyen H, Nnaji C, Noubiap J, Nuñez-Samudio V, Nwatah V, Oancea B, Odukoya O, Olagunju A, Olakunde B, Olusanya B, Olusanya J, Bali A, Onwujekwe O, Orisakwe O, Otstavnov N, Otstavnov S, Owolabi M, Mahesh P, Padubidri J, Pana A, Pandey A, Pandi-Perumal S, Kan F, Patton G, Pawar S, Peprah E, Postma M, Preotescu L, Syed Z, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahmani A, Ramezanzadeh K, Rana J, Ranabhat C, Rao S, Rawaf D, Rawaf S, Rawassizadeh R, Regassa L, Rezaei N, Rezapour A, Riaz M, Ribeiro A, Ross J, Rubagotti E, Rumisha S, Rwegerera G, Moghaddam S, Sagar R, Sahiledengle B, Sahu M, Salem M, Kafil H, Samy A, Sartorius B, Sathian B, Seidu A, Shaheen A, Shaikh M, Shamsizadeh M, Shiferaw W, Shin J, Shrestha R, Singh J, Skryabin V, Skryabina A, Soltani S, Sufiyan M, Tabuchi T, Tadesse E, Taveira N, Tesfay F, Thapar R, Tovani-Palone M, Tsegaye G, Umeokonkwo C, Unnikrishnan B, Villafañe J, Violante F, Vo B, Vu G, Wado Y, Waheed Y, Wamai R, Wang Y, Ward P, Wickramasinghe N, Wilson K, Yaya S, Yip P, Yonemoto N, Yu C, Zastrozhin M, Zhang Y, Zhang Z, Hay S, Dwyer-Lindgren L. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018. BMC Medicine 2022, 20: 488. PMID: 36529768, PMCID: PMC9760541, DOI: 10.1186/s12916-022-02639-z.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeAdolescentAdultAfrica South of the SaharaFemaleHIVHIV InfectionsHumansMaleMiddle AgedPregnancyPrevalenceSeroepidemiologic StudiesYoung AdultConceptsHIV prevalenceAge groupsBackgroundHuman immunodeficiency virusJoint United Nations ProgrammeImmune deficiency syndromeHIV prevalence estimatesAdults ages 15HIV/AIDSClinic attendeesUnited Nations ProgrammeImmunodeficiency virusSentinel surveillanceDisease burdenDeficiency syndromePrevalence increasesSeroprevalence surveyPrevalence trendsLow prevalencePrevalence estimatesTreatment interventionsPrevalence differencesTargeted interventionsPrevalenceTreatment effortsAge 15Mobile Health Technology Use and the Acceptability of an mHealth Platform for HIV Prevention Among Men Who Have Sex With Men in Malaysia: Cross-sectional Respondent-Driven Sampling Survey
Shrestha R, Maviglia F, Altice FL, DiDomizio E, Khati A, Mistler C, Azwa I, Kamarulzaman A, Halim MAA, Wickersham JA. Mobile Health Technology Use and the Acceptability of an mHealth Platform for HIV Prevention Among Men Who Have Sex With Men in Malaysia: Cross-sectional Respondent-Driven Sampling Survey. Journal Of Medical Internet Research 2022, 24: e36917. PMID: 35877172, PMCID: PMC9361153, DOI: 10.2196/36917.Peer-Reviewed Original ResearchConceptsHIV prevention informationHIV preventionDrug usePrevention informationMalaysian menMHealth platformHIV risk-related behaviorsHIV prevention toolHIV prevention servicesSexual activityReceptive anal sexMobile health interventionsHIV prevention effortsUse of mHealthIllicit drug useSexualized drug useCross-sectional surveyAcceptability of mHealthHealth technology useSelf-administered questionnaireRespondent-driven samplingHealth-related informationSuboptimal engagementDearth of evidencePrevention services
2017
Interest in use of mHealth technology in HIV prevention and associated factors among high-risk drug users enrolled in methadone maintenance program
Shrestha R, Karki P, Copenhaver M. Interest in use of mHealth technology in HIV prevention and associated factors among high-risk drug users enrolled in methadone maintenance program. AIDS Care 2017, 29: 1144-1148. PMID: 28478706, PMCID: PMC6081193, DOI: 10.1080/09540121.2017.1325439.Peer-Reviewed Original ResearchConceptsHigh-risk PWUDMethadone maintenance programHIV preventionMedication remindersHIV risk reduction informationRisk behaviorsSex-related risk behaviorsHigh-risk drug usersMHealth technologiesHIV prevention toolHIV risk reductionHIV prevention approachesHIV risk behaviorsDrug treatment settingsRisk Behavior AssessmentHIV prevention effortsHIV-negative PWUDUse of mHealthNew intervention strategiesDepressive symptomsTreatment settingsDrug usersHealthcare providersMultivariate analysisPrevention efforts
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