Supporting Pre-Exposure Prophylaxis Uptake: Exploring Social Network Characteristics among Black Women and Acceptability of Social Network Strategies
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection
2.2. Data Analysis
3. Results
Open-Ended Responses
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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Demographic and Behavioral Factors | Median (IQR), Range or N (%) |
---|---|
Age (N = 108) | |
Median (IQR), Range | 28 (25, 33), 18–64 |
Neighborhood prevalence of HIV per 100,000 | |
26.2–359.1 | 6 (5.5%) |
359.2–699.6 | 25 (22.9%) |
699.7–1185.6 | 43 (39.5%) |
1185.7–2004.9 | 18 (16.5%) |
Outside of Chicago | 17 (15.6%) |
I think my chances of getting HIV are: | |
Missing | 2 (1.8%) |
0%—There is no chance I will get HIV | 72 (66.1%) |
25% | 23 (21.1%) |
50% | 11 (10.1%) |
75% | 1 (0.9%) |
100%—I will definitely get HIV | 0 (0.0%) |
Getting HIV is something I am: | |
Not concerned about | 37 (33.9%) |
A little concerned about | 24 (22.0%) |
Moderately concerned about | 21 (19.3%) |
Concerned about a lot | 7 (6.4%) |
Extremely concerned about | 20 (18.4%) |
I am concerned about high rates of HIV in my community: | |
Disagree | 5 (4.6%) |
Undecided | 31 (28.4%) |
Agree | 73 (67.0%) |
Prior to this study, have you heard of PrEP (pre-exposure prophylaxis) or the use of medication to prevent HIV infection? | |
Yes | 40 (36.7%) |
No | 69 (63.3%) |
How likely are you to start taking PrEP in the next 3 months? | |
Unsure, somewhat unlikely, very unlikely | 74 (67.9%) |
Very likely, somewhat likely | 35 (32.1%) |
Most trusted people (free text answer) | |
Mother | 81 (74.3%) |
Sister | 61 (56.0%) |
Friend | 50 (45.9%) |
Father | 35 (32.1%) |
Brother | 34 (31.2%) |
Cousin | 33 (30.3%) |
Grandmother | 30 (27.5%) |
Significant other/father of children | 30 (27.5%) |
Aunt | 23 (21.1%) |
Uncle | 9 (8.3%) |
Faith leader | 8 (7.3%) |
Co-workers | 5 (4.69%) |
Grandfather | 3 (2.8%) |
Which of the following are barriers for you to PrEP uptake? (Choose all that apply) | |
Lack of communication among community members | 25 (22.9%) |
Mistrust of the medical community | 16 (14.7%) |
Cost | 36 (33.0%) |
Side effects | 55 (50.5%) |
Stigma | 10 (9.2%) |
Drug is too new | 49 (45.0%) |
Lack of housing | 0 (0.0%) |
Other | 20 (18.4%) |
PrEP can be acquired over the counter at any drug store without a prescription | |
False | 84 (77.1%) |
True | 22 (20.2%) |
Missing | 3 (2.7%) |
PrEP needs to be taken daily in order to be effective | |
False | 8 (7.3%) |
True | 98 (89.9%) |
Missing | 3 (2.8%) |
PrEP can be taken by both men and women to prevent HIV infection | |
False | 7 (6.4%) |
True | 99 (90.8%) |
Missing | 2 (2.8%) |
PrEP is effective in stopping HIV transmission among people living with HIV | |
False | 66 (60.6%) |
True | 40 (36.7%) |
Missing | 3 (2.7%) |
PrEP is only available for prevention HIV among gay and bisexual men | |
False | 102 (93.6%) |
True | 4 (3.7%) |
Missing | 3 (2.7%) |
PrEP can be used to prevent infection after being exposed to HIV | |
False | 60 (55.1%) |
True | 46 (42.2%) |
Missing | 3 (2.7%) |
Questions Regarding Network Members | Median (IQR), Range |
---|---|
In the past 6 months, with how many people have you talked to about things that are personal or private? (N = 108) | 2 (2, 3) 0–20 |
How many of these people know each other? (N = 94) | 2 (2, 3) 0–20 |
How many of these people are family members? (N = 106) | 1 (0, 2) 0–10 |
How many of these people are female? (N = 106) | 2 (1, 3) 0–10 |
How many of these people are HIV-positive? (N = 105) | 0 (0, 0) 0–2 |
In the past 6 months, with how many people have you talked to about matters related to your sexual health or sexual behavior? (N = 109) | 2 (1, 2) 0–50 |
How many of these people know each other? (N = 59) | 2 (2, 2) 0–10 |
How many of these people are family members? (N = 89) | 1 (0, 1) 0–10 |
How many of these people are female? (N = 89) | 2 (1, 2) 0–38 |
How many of these people are HIV-positive? (N = 88) | 0 (0, 0) 0–0 |
How many Black women do you know who are about your age and live in the same area you do, with whom you speak to on a regular basis? (N = 109) | 3 (1, 5) 0–1500 |
Number of total barriers reported (N = 109) | 2 (1, 3), 0–8 |
Knowledge score (N = 106) | 5 (4, 5), 0–6 |
Network Type | N (%) |
---|---|
Personal or private network size | |
≤2 | 58 (53.2%) |
>2 | 51 (46.8%) |
Sexual health network size | |
≤2 | 86 (78.9%) |
>2 | 23 (21.1%) |
Black women network size | |
≤3 | 63 (57.8%) |
>3 | 46 (42.2%) |
Logistic Regression Odds Ratios | Heard PrEP OR (95%CI), Wald Chi Squared p-Value | Start PrEP OR (95%CI), Wald Chi Squared p-Value | High PrEP Knowledge OR (95%CI), Wald Chi Squared p-Value |
---|---|---|---|
Personal or private network size | |||
≤2 | Reference | Reference | Reference |
>2 | 0.8 (0.4, 1.7), 0.5 | 0.5 (0.2, 1.1), 0.1 | 1.2(0.5, 2.8), 0.8 |
Sexual health network size | |||
≤2 | Reference | Reference | Reference |
>2 | 1.8 (0.7, 4.6), 0.2 | 1.88 (0.73, 4.84), 0.19 | 0.6 (0.2, 2.0), 0.4 |
Black women network size | |||
≤3 | Reference | Reference | Reference |
>3 | 1.2 (0.6, 2.6), 0.7 | 1.0 (0.5, 2.4), 0.9 | 0.9 (0.4, 2.2), 0.8 |
Type of Network | Beta Coefficient (Standard Error), p-Value |
---|---|
Personal or private network size | |
≤2 vs. >2 | −0.1 (0.2), 0.6 |
Sexual health network size | |
≤2 vs. >2 | −0.3 (0.3), 0.4 |
Black women network size | |
≤3 vs. >3 | 0.4 (0.2), 0.1 |
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Johnson, A.K.; Devlin, S.A.; Hill, M.; Ott, E.; Friedman, E.E.; Haider, S. Supporting Pre-Exposure Prophylaxis Uptake: Exploring Social Network Characteristics among Black Women and Acceptability of Social Network Strategies. Healthcare 2024, 12, 1769. https://doi.org/10.3390/healthcare12171769
Johnson AK, Devlin SA, Hill M, Ott E, Friedman EE, Haider S. Supporting Pre-Exposure Prophylaxis Uptake: Exploring Social Network Characteristics among Black Women and Acceptability of Social Network Strategies. Healthcare. 2024; 12(17):1769. https://doi.org/10.3390/healthcare12171769
Chicago/Turabian StyleJohnson, Amy K., Samantha A. Devlin, Miranda Hill, Emily Ott, Eleanor E. Friedman, and Sadia Haider. 2024. "Supporting Pre-Exposure Prophylaxis Uptake: Exploring Social Network Characteristics among Black Women and Acceptability of Social Network Strategies" Healthcare 12, no. 17: 1769. https://doi.org/10.3390/healthcare12171769
APA StyleJohnson, A. K., Devlin, S. A., Hill, M., Ott, E., Friedman, E. E., & Haider, S. (2024). Supporting Pre-Exposure Prophylaxis Uptake: Exploring Social Network Characteristics among Black Women and Acceptability of Social Network Strategies. Healthcare, 12(17), 1769. https://doi.org/10.3390/healthcare12171769