Understanding the contexts in which female sex workers sell sex in Kampala, Uganda: a qualitative study.

BACKGROUND: Structural, interpersonal and individual level factors can present barriers for HIV prevention behaviour among people at high risk of HIV acquisition, including women who sell sex. In this paper we document the contexts in which women selling sex in Kampala meet and provide services to their clients. METHODS: We collected qualitative data using semi-structured interviews. Women were eligible to participate if they were 18 years or older, self-identified as sex workers or offered sex for money and spoke Luganda or English. Ten women who met clients in venues and outdoor locations were selected randomly from a clinic for women at high risk of HIV acquisition. Ten other women who met clients online were recruited using snowball sampling. Interviews included demographic data, and themes included reasons for joining and leaving sex work, work locations, nature of relationships with clients and peers, interaction with authorities, regulations on sex work, and reported stigma. We conducted interviews over three months. Data were analysed thematically using a framework analysis approach. The coding framework was based on structural factors identified from literature, but also modified inductively with themes arising from the interviews. RESULTS: Women met clients in physical and virtual spaces. Physical spaces included venues and outdoor locations, and virtual spaces were online platforms like social media applications and websites. Of the 20 women included, 12 used online platforms to meet clients. Generally, women from the clinic sample were less educated and predominantly unmarried, while those from the snowball sample had more education, had professional jobs, or were university students. Women from both samples reported experiences of stigma, violence from clients and authorities, and challenges accessing health care services due to the illegality of sex work. Even though all participants worked in settings where sex work was illegal and consequently endured harsh treatment, those from the snowball sample faced additional threats of cybersecurity attacks, extortion from clients, and high levels of violence from clients. CONCLUSIONS: To reduce risk of HIV acquisition among women who sell sex, researchers and implementers should consider these differences in contexts, challenges, and risks to design innovative interventions and programs that reach and include all women.

A cost study for mobile phone health surveys using interactive voice response for assessing risk factors of noncommunicable diseases.

BACKGROUND: This is the first study to examine the costs of conducting a mobile phone survey (MPS) through interactive voice response (IVR) to collect information on risk factors for noncommunicable diseases (NCD) in three low- and middle-income countries (LMIC); Bangladesh, Colombia, and Uganda. METHODS: This is a micro-costing study conducted from the perspective of the payer/funder with a 1-year horizon. The study evaluates the fixed costs and variable costs of implementing one nationally representative MPS for NCD risk factors of the adult population. In this costing study, we estimated the sample size of calls required to achieve a population-representative survey and associated incentives. Cost inputs were obtained from direct economic costs incurred by a central study team, from country-specific collaborators, and from platform developers who participated in the deployment of these MPS during 2017. Costs were reported in US dollars (USD). A sensitivity analysis was conducted assessing different scenarios of pricing and incentive strategies. Also, costs were calculated for a survey deployed targeting only adults younger than 45 years. RESULTS: We estimated the fixed costs ranging between $47,000 USD and $74,000 USD. Variable costs were found to be between $32,000 USD and $129,000 USD per nationally representative survey. The main cost driver was the number of calls required to meet the sample size, and its variability largely depends on the extent of mobile phone coverage and access in the country. Therefore, a larger number of calls were estimated to survey specific harder-to-reach sub-populations. CONCLUSION: Mobile phone surveys have the potential to be a relatively less expensive and timely method of collecting survey information than face-to-face surveys, allowing decision-makers to deploy survey-based monitoring or evaluation programs more frequently than it would be possible having only face-to-face contact. The main driver of variable costs is survey time, and most of the variability across countries is attributable to the sampling differences associated to reaching out to population subgroups with low mobile phone ownership or access.

Incorporating health inequality impact into economic evaluation in low- and middle-income countries: a systematic review.

INTRODUCTION: As well as improving population health, promoting equity in health is one of the key goals of health policy in low- and middle-income countries (LMICs). However, it is less clear how equity is defined, or how it may impact on resource allocation decisions. We investigated the degree to which health inequalities have been considered in economic evaluation of health interventions in LMICs, and what demographic or socioeconomic characteristics were used to define equity relevant subgroups. AREAS COVERED: We reviewed publications since 2010 from three main databases following the search strategy developed by including the key terms 'health inequalities/health disparities/health equity,' 'economics' and 'low- and middle-income countries' in the title or abstract. Twelve studies were identified, mainly focusing on interventions for the more vulnerable groups such as children and women. EXPERT OPINION: Some attempts have been made to assess interventions' impact on health inequality and there is increasing interest in evaluating it, although research in this area is lacking. Population subgroups highlighted in the included studies were those differing in socioeconomic status. Most studies reported the results across subgroups to illustrate inequality impact, and the newly developed methods, extended cost-effectiveness analysis and distributional cost-effectiveness analysis, have also been applied.