Conducting high-frequency data collection in low-resource settings: Lessons from a financial diary study among women engaged in sex work in Uganda.
Lyla Sunyoung YangSusan S WitteJoshua KiyingiJosephine NabayindaEdward NsubugaProscovia NabunyaOzge Sensoy BaharLarissa Jennings Mayo-WilsonFred M SsewamalaPublished in: Journal Of Human Behavior In The Social Environment (2023)
Poverty and economic insecurity are driving forces in entering sex work among women in low resource areas. This increases their risk for HIV by influencing the decision-making process for high-risk behaviors. Few studies examine financial behaviors and capacities of women engaged in sex work (WESW). This paper describes the methodology used in a financial diary study aimed at characterizing women's spending patterns within a larger prevention intervention trial among WESW in Uganda. From June 2019 to March 2020, a subsample of 150 women randomized to the combination HIV prevention and economic empowerment treatment were asked to complete financial diaries to monitor daily expenditures in real time. Two hundred forty financial diaries were distributed to study participants during the financial literacy sessions at 8 sites. A total of 26,919 expense entries were recorded over 6 months. Sex work related expenses comprised approximately 20.01% of the total. The process of obtaining quality and consistent data was challenging due to the transient and stigmatized nature of sex work coupled with women's varying levels of education. Frequent check-ins, using peer support, code word or visuals, and a shorter timeframe would allow for a more accurate collection of high frequency data. Moreover, the ability of women to complete the financial diaries despite numerous challenges speaks to their potential value as a data collection tool, and also as an organizing tool for finances.
Keyphrases
- high frequency
- polycystic ovary syndrome
- pregnancy outcomes
- electronic health record
- cervical cancer screening
- healthcare
- breast cancer risk
- transcranial magnetic stimulation
- big data
- pregnant women
- skeletal muscle
- machine learning
- hepatitis c virus
- risk assessment
- antiretroviral therapy
- insulin resistance
- open label
- human immunodeficiency virus
- phase iii
- physical activity
- blood brain barrier
- hiv infected
- quality improvement
- artificial intelligence
- deep learning
- south africa
- high resolution
- childhood cancer
- hiv positive
- subarachnoid hemorrhage
- cerebral ischemia