Pregnant and breastfeeding women's prospective acceptability of two biomedical HIV prevention approaches in Sub Saharan Africa: A multisite qualitative analysis using the Theoretical Framework of Acceptability.
Mandeep SekhonAriane van der Stratennull nullPublished in: PloS one (2021)
HIV infection during pregnancy and breastfeeding has implications for maternal health. Between May- November 2018, we explored prospective acceptability of two novel HIV Pre-exposure Prophylaxis (PrEP) products, oral pills and vaginal rings, through focus group discussions with 65 pregnant and breastfeeding women in Malawi, South Africa, Uganda, Zimbabwe. Qualitative analysis was completed, guided by the Theoretical Framework of Acceptability (TFA). First, a deductive thematic analysis was applied to relevant coded data, into the seven TFA constructs (Affective Attitude; Burden; Ethicality, Intervention Coherence; Opportunity Costs; Perceived Effectiveness; Self-efficacy). Next, an iterative analysis was completed to generate themes within each of the TFA constructs. Women's positive attitudes towards daily oral PrEP highlighted the familiarity of taking pills, understanding the purpose of taking pills, and the perception that it is an effective method to protect mothers and babies from HIV during pregnancy and breastfeeding. Women emphasized the ease of using the ring given its monthly duration that lowers burden on the user, its discreetness and invisibility once in place. The TFA analysis highlighted how acceptability of both methods could be enhanced by focusing on perceptions of the end users (i.e. the women) and not just the products themselves. This approach provided insights into how to refine the intervention materials and plans for implementation.
Keyphrases
- polycystic ovary syndrome
- randomized controlled trial
- pregnancy outcomes
- healthcare
- preterm infants
- hiv positive
- men who have sex with men
- hiv testing
- primary care
- magnetic resonance imaging
- public health
- hepatitis c virus
- type diabetes
- human immunodeficiency virus
- risk factors
- electronic health record
- depressive symptoms
- adipose tissue
- insulin resistance
- computed tomography
- preterm birth
- big data
- artificial intelligence
- weight gain
- birth weight
- health promotion