Uptake of Oral HIV Pre-Exposure Prophylaxis (PrEP) and Associated Factors among Female Sex Workers in Tanga, Tanzania
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Study Population
2.3. Sample Size
2.4. Sampling Procedures
2.5. Variables and Their Measurements
2.6. Data Collection Tools and Procedures
2.7. Data Management and Analysis
3. Results
3.1. Characteristics of Study Participants
3.2. Pre-Exposure Prophylaxis (PrEP) Uptake
3.3. Factors Influencing Pre-Exposure Prophylaxis (PrEP) Use among FSW
3.4. Belief and Attitude towards oral PrEP Uptake
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristic | n | % |
---|---|---|
Age Mean (SD) 31.8 (±7.3) | ||
18–25 | 101 | 23.6 |
>25 | 327 | 76.4 |
Education level | ||
No formal education | 14 | 3.3 |
Primary education | 74 | 17.3 |
Secondary education or above | 340 | 79.4 |
Marital status | ||
Married/Living together Divorced Widow | 73 120 39 | 17.1 28 9.1 |
Never married | 196 | 45.8 |
Number of children | ||
No children | 129 | 30.1 |
1 to 2 | 181 | 42.3 |
≥3 | 118 | 27.6 |
Employment | ||
Not employed | 211 | 49.3 |
Temporary employed | 170 | 39.7 |
Permanent/stable employment | 47 | 11.0 |
Household food insecurity | ||
Severely Insecure | 127 | 29.7 |
Mild insecure | 18 | 4.2 |
Moderate insecure | 22 | 5.1 |
Secure | 261 | 61.0 |
Weighted wealth index | ||
Poorest Poorer | 110 134 | 25.7 31.3 |
Middle | 119 | 27.8 |
Richer Richest | 51 14 | 11.9 3.3 |
Social support | ||
Low social support | 288 | 67.3 |
High/good social support | 140 | 32.7 |
Self-efficacy | ||
Low self-efficacy | 279 | 65.2 |
Greater/sufficient self-efficacy | 149 | 34.8 |
Variable | n | % |
---|---|---|
Number of sex partners in the last month | ||
Low risk (<3) | 71 | 16.6 |
High risk (3 or more) | 357 | 83.4 |
Used a condom in the last sexual encounter | ||
Yes | 139 | 32.5 |
No | 289 | 67.5 |
Consistency of condom use | ||
Never | 68 | 15.9 |
Sometimes | 287 | 67.1 |
Always | 73 | 17.1 |
Able to obtain a male condom when in need (n = 364) | ||
Yes | 128 | 35.2 |
No | 236 | 64.8 |
Alcohol use in the past 3 months | ||
Yes | 367 | 85.7 |
No | 61 | 14.3 |
Injected drugs for fun or relaxation in the past 3 months | ||
Yes | 27 | 6.3 |
No | 401 | 93.7 |
Variable | n | PrEP Uptake | Bivariate Log Reg | Multivariate Log Reg | ||
---|---|---|---|---|---|---|
n (%) | COR (95% CI) | p-Value | AOR (95% CI) | p-Value | ||
Age | ||||||
≤25 | 101 | 54 (53.5) | 1 | |||
>25 | 327 | 180 (55.0) | 1.07 (0.68–1.67) | 0.78 | ||
Education level | ||||||
No formal education | 14 | 12 (85.7) | 1 | 1 | ||
Primary education | 74 | 40 (54.1) | 0.25 (0.04–0.94) | 0.04 | 0.35 (0.07–1.88) | 0.22 |
Secondary education/above | 340 | 182 (53.5) | 0.19 (0.04–0.87) | 0.03 | 0.29 (0.06–1.44) | 0.13 |
Marital status | ||||||
Married/Living together | 73 | 45 (61.6) | 1 | 1 | ||
Divorced | 120 | 58 (48.3) | 0.58 (0.32–1.05) | 0.07 | 0.62 (0.31–1.24) | 0.17 |
Widow | 39 | 26 (66.7) | 1.24 (0.55–2.81) | 0.6 | 1.34 (0.52–3.45) | 0.55 |
Never married | 196 | 105 (53.6) | 0.72 (0.42–1.24) | 0.24 | 1.12 (0.56–2.24) | 0.76 |
Number of children | ||||||
No children | 129 | 72 (55.8) | 1 | 1 | ||
1 to 2 | 181 | 86 (47.5) | 0.72 (0.46–1.13) | 0.15 | 0.81 (0.46–1.45) | 0.48 |
≥3 | 118 | 76 (64.4) | 1.43 (0.86–2.39) | 0.17 | 2.14 (1.08–4.25) | 0.03 * |
Employment | ||||||
Not employed | 211 | 114 (54.0) | 1 | 1 | ||
Temporary employed | 170 | 86 (50.6) | 0.87 (0.58–1.31) | 0.50 | 0.92 (0.57–1.49) | 0.72 |
Permanent/stable employment | 47 | 34 (72.3) | 2.23 (1.11–4.45) | 0.02 | 2.11 (0.95–4.7) | 0.07 |
Household food insecurity | ||||||
Severely insecure | 127 | 65 (51.2) | 1 | |||
Mild insecure | 18 | 10 (55.6) | 1.2 (0.44–3.22) | 0.73 | ||
Moderate insecure | 22 | 17 (77.3) | 3.24 (1.13–9.32) | 0.03 | ||
Secure | 261 | 142 (54.4) | 1.04 (0.7–1.57) | 0.55 | ||
Wealth index | ||||||
Poorest (Low) | 110 | 60 (54.5) | 1 | |||
Poorer | 134 | 75 (56.0) | 1.06 (0.64–1.76) | 0.82 | ||
Middle | 119 | 60 (50.4) | 0.85 (0.5–1.43) | 0.53 | ||
Richer | 51 | 28 (54.9) | 1.01 (0.52–1.98) | 0.97 | ||
Richest | 14 | 11 (78.6) | 3.06 (0.81–11.56) | 0.10 | ||
Number of sex partners in the last month | ||||||
Low risk (<3) | 71 | 36 (50.7) | 1 | |||
High risk (3 or more) | 357 | 198 (55.5) | 1.21 (0.73–2.02) | 0.46 | ||
Used a condom in the last sexualencounter | ||||||
Yes | 139 | 71 (51.1) | 1 | |||
No | 289 | 163 (56.4) | 1.24 (0.83–1.86) | 0.30 | ||
Belief | ||||||
Poor | 195 | 92 (47.2) | 1 | 1 | ||
Good | 233 | 142 (60.9) | 1.75 (1.19–2.57) | 0.01 | 1.51 (0.94–2.43) | 0.09 |
Attitude | ||||||
Negative | 233 | 101 (43.3) | 1 | 1 | ||
Positive | 195 | 133 (68.2) | 2.8 (1.88–4.17) | 0 | 2.83 (1.75–4.57) | 0 ** |
Variable | n | % |
---|---|---|
Belief | ||
Poor | 195 | 45.6 |
Good | 233 | 54.4 |
Attitude | ||
Negative | 233 | 54.4 |
Positive | 195 | 45.6 |
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Martin, V.O.; Tesha, N.A.; Sunguya, B.F. Uptake of Oral HIV Pre-Exposure Prophylaxis (PrEP) and Associated Factors among Female Sex Workers in Tanga, Tanzania. Viruses 2023, 15, 2125. https://doi.org/10.3390/v15102125
Martin VO, Tesha NA, Sunguya BF. Uptake of Oral HIV Pre-Exposure Prophylaxis (PrEP) and Associated Factors among Female Sex Workers in Tanga, Tanzania. Viruses. 2023; 15(10):2125. https://doi.org/10.3390/v15102125
Chicago/Turabian StyleMartin, Veronica O., Novatus A. Tesha, and Bruno F. Sunguya. 2023. "Uptake of Oral HIV Pre-Exposure Prophylaxis (PrEP) and Associated Factors among Female Sex Workers in Tanga, Tanzania" Viruses 15, no. 10: 2125. https://doi.org/10.3390/v15102125
APA StyleMartin, V. O., Tesha, N. A., & Sunguya, B. F. (2023). Uptake of Oral HIV Pre-Exposure Prophylaxis (PrEP) and Associated Factors among Female Sex Workers in Tanga, Tanzania. Viruses, 15(10), 2125. https://doi.org/10.3390/v15102125