Process and implementation of Audio Computer Assisted Self-Interviewing (ACASI) assessments in low resource settings: a case example from Zambia

• Published in: Global mental health Vol. 3; p. e24
• Main Authors: Kane, J. C., Murray, L. K., Sughrue, S., DeMulder, J., Skavenski van Wyk, S., Queenan, J., Tang, A., Bolton, P.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 2016
• Subjects: ACASI; Acquired immune deficiency syndrome; adolescent; AIDS; assessment methods; Automation; Bias; Costs; e-Health Innovations; Epidemiology; HIV; Human immunodeficiency virus; Interviews; low- and middle-income country; Medicine; Mental disorders; Mental health; Methods; Original Research Paper; Public health; Questionnaires; Sexual behavior; Software; Studies; Zambia; low- and middle-income country; adolescent; HIV; ACASI; assessment methods
• ISSN: 2054-4251; 2054-4251
• DOI: 10.1017/gmh.2016.19

Studies from low- and middle-income countries (LMIC) indicate that the use of audio computer-assisted self-interviewing (ACASI) is associated with more accurate reporting of sensitive behaviors (e.g. substance use and sexual risk behaviors) compared with interviewer-administered questionnaires. There is a lack of published information on the process of designing, developing, and implementing ACASI in LMIC. In this paper we describe our experience implementing an ACASI system for use with a population of orphans and vulnerable children in Zambia.
A questionnaire of mental health, substance use, and HIV risk behaviors was converted into an ACASI system, tested in pilot and validity studies, and implemented for use in a randomized controlled trial. Successes, barriers, and challenges associated with each stage in the development and implementation of ACASI are described.
We were able to convert a lengthy and complex survey into an ACASI system that was feasible for use in Zambia. Lessons learned include the importance of: (1) piloting the written and electronic versions; (2) proper and extensive training for study assessors to use ACASI and for those doing voice recordings; and (3) attention to logistics such as appropriate space, internet, and power.
We found that ACASI was feasible and acceptable in Zambia with proper planning, training, and supervision. Given mounting evidence indicating that ACASI provides more accurate self-report data and immediate data download compared with interview-administered measures, it may be an effective and economical alternative for behavioral health research studies in LMIC.