Acceptability and applicability of biometric iris scanning for the identification and follow up of highly mobile research participants living in fishing communities along the shores of Lake Victoria in Kenya, Tanzania, and Uganda.

BACKGROUND: Recruitment and retention of participants in research studies conducted in fishing communities remain a challenge because of population mobility. Reliable and acceptable methods for identifying and tracking participants taking part in HIV prevention and treatment research are needed. The study aims to assess the acceptability, and technical feasibility of iris scans as a biometric identification method for research participants in fishing communities. METHODS: This was a cross-sectional study conducted in eight fishing communities in Kenya, Tanzania, and Uganda, with follow-up after one month in a randomly selected subset of participants. All consenting participants had their iris scanned and then responded to the survey. RESULTS: 1,199 participants were recruited. The median age was 33 [Interquartile range (IQR) 24-42] years; 56% were women. The overall acceptability of iris scanning was 99%, and the success rate was 98%. Eighty one percent (n = 949) had a successful scan on first attempt, 116 (10%) on second and 113 (9%) after more than two attempts. A month later, 30% (n = 341) of participants were followed up. The acceptability of repeat iris scanning was 99% (n = 340). All participants who accepted repeat iris scanning had successful scans, with 307 (90%) scans succeeding on first attempt; 25 (7%) on second attempt, and 8 (2%) after several attempts. The main reason for refusing iris scanning was fear of possible side effects of the scan on the eyes or body. CONCLUSION: The acceptability and applicability of biometric iris scan as a technique for unique identification of research participants is high in fishing communities. However, successful use of the iris scanning technology in research will require education regarding the safety of the procedure.

Ensuring quality of services in HIV prevention research settings: findings from a multi-center quality improvement pilot in East Africa.

Quality improvement (QI) has been widely implemented in health services but has not been widely applied in HIV prevention research. Most prevention research centers have commonly employed traditional approaches (e.g., checklists) to quality control that document what has been done but not the quality of what has been done. Unlike other health settings, prevention research settings have unique characteristics and ethical requirements that require the development or adaptation of specific quality indicators. A QI model for health services was adapted for use in prevention research settings and was piloted between August 2006 and July 2007 at three research centers in East Africa. Four hundred and twenty-six volunteers exit interviews were administered in two cycles. Quantitative and qualitative data were analyzed using Excel worksheets. QI meeting reports and QI plans were used to complement data from exit interviews. On average, 52% of total enrolled volunteers participated in the exit interview. The designed QI plans successfully helped reduce volunteers' reported waiting time to see counselors (p<0.001) and pharmacists (p<0.001). It also increased the percentage of interviewed volunteers who reported being counseled on family planning at clinical trials (from 66 to 93%; p=0.02) at follow-up visits, and who were refreshed on informed consent at follow-up visits (from 90 to 96%; p=0.009). The percentage of interviewed volunteers that expressed satisfaction with services received from counselors increased (from 87 to 94%; p=0.009) while the percentage of volunteer satisfied with services from trial physicians remained constant (93%). The majority of volunteers interviewed reported satisfaction with other major components of research such as confidentiality, understanding of trial objectives, benefits and risks of participation, and risk reduction counseling. However, satisfaction with services from community outreach workers and other staff at research centers dropped over the course of the study (from 88% in Cycle 1 to 74% in Cycle 3; p= < 0.001). Increased commitment to QI is crucial in ensuring quality of services and ethical conduct of HIV prevention research centers.