Antiretroviral therapy based HIV prevention targeting young women who sell sex: a mixed method approach to understand the implementation of PrEP in a rural area of KwaZulu-Natal, South Africa

Figures & data

Figure 1. Flow chart showing baseline and follow-up in the two survey years 2017–2018 for cohort of AGYW.

Table 1. Characteristics of AGYW at baseline in 2017 (N = 2184) and 12-months follow-up (N = 1853).

Characteristic	Enrolled in 2017 (n = 2184)		Followed-up in 2018 (n = 1853)
	N	% (95%CI)	Yes %	No %	p-value
Age group
13–17	1148	52.6 (50.5–54.7)	56.2	32.3	<0.001
18–22	1036	47.4 (45.3–49.5)	43.8	67.7
Location
Rural	1388	64.1 (62.1–66.1)	65.1	58.8	0.03
Peri-urban/urban	777	35.9 (33.9–37.9)	34.9	41.2
Currently in school (Yes)	1644	75.3 (73.4–77.0)	78.5	57.1	<0.001
Socio-economic status^a
Low	727	35.1 (33.0–37.1)	35.8	30.4	0.07
Middle	747	36.0 (34.0–38.1)	36.1	35.3
High	600	28.9 (27.0–30.9)	28.1	34.3
Ever migrated in the past years^b(Yes)	403	18.5 (16.9–20.1)	16.5	29.3	<0.001
Food insecurity^c(Yes)	682	31.2 (29.3–33.2)	30.7	34.7	0.142

^aSocio-economic status was calculated using principal component analysis based on household asset ownership and access to safe drinking water and sanitation.

^b Migration defined as moving away from the surveillance area and subsequently returning since age of 13.

^c Food insecurity was defined as any report of reducing the size of food portions or skipping meals by any member of a household because there was not enough money to buy food in the past 12 months.

Figure 2. PrEP utilisation cascade among eligible AGYW involved in transactional sex/sex work in 2017–2018 (n = 194).

Data availability statement

The data that support the findings of this study are available from corresponding author [MS] upon reasonable request.