A Qualitative Evaluation of the Acceptability of an Interactive Voice Response System to Enhance Adherence to Isoniazid Preventive Therapy Among People Living with HIV in Ethiopia

Bibliographic Data

ID15338993
AuthorsAmrita Daftary (0000-0003-2275-3540, Columbia University, corresponding author), Yael Hirsch‐Moverman (0000-0003-0096-1306, Columbia University), Getnet Mitike Kassie (Addis Ababa University), Zenebe Melaku (Columbia University), Tsigereda Gadisa (Columbia University), Suzue Saito (0000-0001-9725-5736, Columbia University), Andrea A Howard (0000-0003-3248-1307, Columbia University)
Year2016
Volume21
Issue11
Pages3057-3067
Publication date2016-05-24
Open AccessYes
TypeARTICLE
VenueAIDS and Behavior (JOURNAL)
Journal identifiersISSN: 1090-7165 • E-ISSN: 1573-3254
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10461-016-1432-8
PMID27221743
OpenAlexW2407443865
LanguageEN
Citations received4
References cited19

Interactive voice response (IVR) is increasingly used to monitor and promote medication adherence. In 2014, we evaluated patient acceptability toward IVR as part of the ENRICH Study, aimed to enhance adherence to isoniazid preventive therapy for tuberculosis prevention among HIV-positive adults in Ethiopia. Qualitative interviews were completed with 30 participants exposed to 2867 IVR calls, of which 24 % were completely answered. Individualized IVR options, treatment education, and time and cost savings facilitated IVR utilization, whereas poor IVR instruction, network and power malfunctions, one-way communication with providers, and delayed clinic follow-up inhibited utilization. IVR acceptability was complicated by HIV confidentiality, mobile phone access and literacy, and patient-provider trust. Incomplete calls likely reminded patients to take medication but were less likely to capture adherence or side effect data. Simple, automated systems that deliver health messages and triage clinic visits appear to be acceptable in this resource-limited setting

Computer security · Confidentiality · Family medicine · Health psychology · Interactive voice response · Medical emergency · Public health · Qualitative research · Triage · Medicine · Mobile Health and mHealth Applications · Nursing · Pneumonia and Respiratory Infections · Respiratory viral infections research

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