Evaluating the feasibility and acceptability of sending pregnancy and abortion history surveys through SMS text messaging to help reach sustainable development goal 3.

INTRODUCTION: In Kenya, abortion is illegal under most circumstances, yet about 48 abortions per 1,000 women occurred in 2012. Given the stigma around abortion, little is known about the availability of safe abortion. Thus, we explored the feasibility and acceptability of using SMS mobile surveys to collect information about women's pregnancy and abortion histories in Kenya. METHODS: We sent a one-time mobile survey to 500 18-24year old women who had opted-in to a 16,000-person mobile survey panel. Women elected to answer questions about pregnancy only (number of pregnancies, number of births, age at first pregnancy) or pregnancy and abortion (ever tried to obtain an abortion and whether medical treatment was sought for any complications). The final question for all survey versions was an open-ended question asking respondents how they felt answering these questions. RESULTS: 356 (71%) responded to the initial survey question and 333 (94%) consented to answer questions about pregnancy. Of these, 233 (70%) agreed to answer questions about just pregnancy and 76 (23%) agreed to answer questions about pregnancy and abortion. Three-quarters of respondents indicated that they had positive or neutral feelings about answering these questions over SMS. Lastly, all data was retrieved within 24h of survey distribution allowing for immediate analysis and dissemination. CONCLUSION: Women's willingness to share their pregnancy history suggests mobile surveys are a cost-effective and accessible method for gathering information on abortion in Kenya.

Methods for sampling geographically mobile female traders in an East African market setting.

BACKGROUND: The role of migration in the spread of HIV in sub-Saharan Africa is well-documented. Yet migration and HIV research have often focused on HIV risks to male migrants and their partners, or migrants overall, often failing to measure the risks to women via their direct involvement in migration. Inconsistent measures of mobility, gender biases in those measures, and limited data sources for sex-specific population-based estimates of mobility have contributed to a paucity of research on the HIV prevention and care needs of migrant and highly mobile women. This study addresses an urgent need for novel methods for developing probability-based, systematic samples of highly mobile women, focusing on a population of female traders operating out of one of the largest open air markets in East Africa. Our method involves three stages: 1.) identification and mapping of all market stall locations using Global Positioning System (GPS) coordinates; 2.) using female market vendor stall GPS coordinates to build the sampling frame using replicates; and 3.) using maps and GPS data for recruitment of study participants. RESULTS: The location of 6,390 vendor stalls were mapped using GPS. Of these, 4,064 stalls occupied by women (63.6%) were used to draw four replicates of 128 stalls each, and a fifth replicate of 15 pre-selected random alternates for a total of 527 stalls assigned to one of five replicates. Staff visited 323 stalls from the first three replicates and from these successfully recruited 306 female vendors into the study for a participation rate of 94.7%. Mobilization strategies and involving traders association representatives in participant recruitment were critical to the study's success. CONCLUSION: The study's high participation rate suggests that this geospatial sampling method holds promise for development of probability-based samples in other settings that serve as transport hubs for highly mobile populations.

Building Capacity for Data-Driven Decision Making in African HIV Testing Programs: Field Perspectives on Data Use Workshops.

Strategic, high quality HIV testing services (HTS) delivery is an essential step towards reaching the end of AIDS by 2030. We conducted HTS Data Use workshops in five African countries to increase data use for strategic program decision-making. Feedback was collected on the extent to which workshop skills and tools were applied in practice and to identify future capacity-building needs. We later conducted six semistructured phone interviews with workshop planning teams and sent a web-based survey to 92 past participants. The HTS Data Use workshops provided accessible tools that were readily learned by most respondents. While most respondents reported increased confidence in interpreting data and frequency of using such tools over time, planning team representatives indicated ongoing needs for more automated tools that can function across data systems. To achieve ambitious global HIV/AIDS targets, national decision makers may continue to seek tools and skill-building opportunities to monitor programs and identify opportunities to refine strategies.