To evaluate factors within the social-ecological framework associated with most or moderately effective contraception, condom and dual method use at last coitus among young, HIV-infected women in Atlanta.
This is a cross-sectional study conducted from November, 2013 until August, 2015 at the Grady Infectious Disease Clinic in Atlanta, Georgia. We recruited perinatally and horizontally HIV-infected women of ages 14–30 years to complete an audio computer-assisted self-interview. We evaluated factors within a social-ecological framework associated with most or moderately effective contraceptive use (hormonal contraception or an IUD), condom use, and dual method use (use of condom and most or moderately effective contraceptive) at last coitus.
Of 103 women enrolled, 74 reported a history of sexual activity. The average age was 22.1; 89% were African American, 52% were perinatally infected, 89% received combination antiretroviral therapy, and 63% had undetectable viral loads. At last coitus, 46% reported most or moderately effective contraception, 62% reported condom use and 27% reporting dual-method use. The odds of most or moderately effective contraceptive use was significantly reduced among those with detectable viral loads (versus undetectable viral loads; aOR 0.13 [0.04, 0.38]). Older age (aOR 0.85 [0.74, 0.98] and more frequent coitus (>once/week versus < = once/week; aOR 0.24 [0.08, 0.72]) was significantly associated with reduced condom use. Having a detectable viral load (versus undetectable viral loads; aOR 0.13 [0.03, 0.69]) and more frequent coitus (>once/week versus < = once/week; aOR 0.14 [0.03,0.82]), was associated with reduced dual method use, while being enrolled in school (aOR 5.63 [1.53, 20.71]) was significantly associated with increased dual method use.
Most or moderately effective contraception, condom and dual method use remained inadequate in this cohort of young HIV-infected women. Individual-level interventions are needed to increase the uptake of dual methods with user-independent contraceptives.
The de-identified data set is available in the supporting information files.
HIV-infected adolescent and young adult women experience high rates of unintended pregnancies, sexually transmitted infections (STI), and secondary HIV transmission to uninfected partners[
Currently, there are limited data on contraceptive practices, sexual behaviors, knowledge, and attitudes regarding pregnancy and STI/HIV prevention among young HIV-infected women. Most research has focused either on younger adults not in the United States[
HIV-infected women engaging in unprotected sex risk secondary HIV transmission to uninfected partners and acquisition of other STIs or super-infection with drug-resistant HIV.[
This study aimed to explore current reproductive health knowledge, attitudes and practices among HIV-infected adolescents and young adults receiving medical care at an HIV clinic in Atlanta, GA. Additionally, we explored factors associated with contraception, condom and dual-method use at last coitus within a social ecological framework to determine the possible correlates of less effective contraceptive practices to address in future reproductive health interventions. Expanding our understanding of contributors to sexual behaviors and family planning practices within a social ecological framework can inform future efforts to improve preventive care in this high-risk population.
This is a cross-sectional study of HIV-infected, female patients attending a comprehensive pediatric and adolescent HIV clinic and a women’s HIV clinic in Atlanta, Georgia. Participants receiving care at this clinic have different types of insurance coverage with cost varying based on insurance coverage. Contraceptive pills and the injectable depot medroxyprogesterone acetate (DMPA) were available on site every day. A gynecologist was available one clinic day per month for contraceptive services, consultation and to provide long-acting reversible contraceptive methods on site. Additionally, women could be referred to a title X clinic which was about 1 mile away for free contraceptive provision or may choose to see their gynecologist independently to receive contraceptive services. We obtained a partial HIPAA waiver to review the daily clinic schedule to identify potential participants who were women within our inclusion criteria age range. All potential participants were approached by a research assistant (RA) in the clinic waiting room or were provided with a flyer with study information. For individuals interested in participating, the RA or research staff member escorted the patient to a private room, read a recruitment script, answered questions about the study, and assessed study eligibility. Women were eligible if they were 1) receiving care at either of the HIV clinics, 2) female, 3) aged 14–30 years, and 4) able to read English. Individuals were excluded if they were currently pregnant or incarcerated. Eligible individuals provided written informed consent. The study was conducted from November, 2013 until August, 2015; 155 patients were approached: 19 patients did not meet eligibility criteria (12%), 29 women declined participation (19%) and 107 completed an audio computer-assisted self-interview (ACASI) (69%). Of the 107, 4 women had inconsistent survey findings (reported prior pregnancy and reported no history of sex); thus 103 had complete data available for this analysis. The study procedures were approved by the Emory University Institutional Review Board (IRB), the CDC IRB, and the Grady Research Oversight Committee.
Participants completed a 30-minute ACASI survey assessing their contraceptive practices, sexual behaviors, and knowledge, attitudes, and beliefs regarding pregnancy and STI/HIV prevention. Additionally, their medical charts were reviewed to abstract information on most recent HIV viral load and CD4+ T-cell count as well as STIs diagnosed within the last year. Participants received a $25 gift card for completing the ACASI.
We chose not to limit inclusion to the study based on prior sexual activity as among this age group, initiation of sex is not always a specifically planned event and adolescent health providers are often aiming to prepare young women for their initial sexual encounter. However, for our condom use and contraceptive analysis, only women who were sexually active (i.e., responded “yes” to the question, “Have you ever had vaginal sex?”) were included in the analyses (n = 74); we excluded women who were not sexually active (i.e., responded “no” to the question, “Have you ever had vaginal sex?”; n = 29) from analyses. For the descriptive analyses, those who reported a history of any sexual activity (n = 74) were categorized according to contraceptive use at last coitus to create four outcome variables as follows: (a) condom use only (yes/no); (b) most or moderately effective contraception use (hormonal contraception method or IUD) only (yes/no); (c) dual method use (condom and most or moderately effective contraceptive use; yes/no); or (d) no method use (yes/no condom or most or moderately effective contraceptive use at last coitus). These groups were then separately evaluated as 3 different method groups: (1) those who used most or moderately effective contraception (b + c / a + d); (2) those who used condoms (a + c / b+ d); (3) those who used dual methods (c / a + b + d). Thus, women who reported dual method use contributed to the numerator (“yes”) of the three method outcomes (condom use, most or moderately effective contraception use, and dual method use), whereas for all four variables all sexually active participants were included in the denominator.
Potential correlates of the method use outcomes (condom use, most or moderately effective contraception use, and dual method use) were categorized into 4 domains of the social-ecological model (see
Data were analyzed using SAS Version 9.4 (SAS Institute, Cary NC). Simple logistic regression models were used to determine univariate associations between potential correlates and each of the three contraception-related outcome variables of interest. For continuous variables, non-linear associations were explored through the evaluation of each variable as categorical with breaks at median and quartiles as well as categorical groups commonly used in the literature. If no clear non-linear association was present, variables were maintained as continuous variables in the model. Factors associated with an outcome at the p < .10 level were included in the stepwise multivariate logistic regression model for the corresponding outcome variable. Models were inspected for multi-collinearity based on a VIF greater than or equal to 10; variables with a VIF > 10 were excluded from the model. As such, the variable “has children” (Yes/No) was excluded from the models predicting condom use at last coitus and dual protection at last coitus. Adjusted odds ratios and corresponding 95% confidence intervals were generated for the factors retained in the stepwise regression model for each outcome variable.
Of the 103 women who completed the survey, 52.4% were perinatally infected and 28.2% reported no prior sexual intercourse (
| Variable | Total | Not sexually active | Most or moderately effective contraceptive use only | Condom use only | Dual method use | No method at last sex | Most or moderately effective contraceptive use versus not using most or moderately effective contraceptive | Condom use versus no condom | Dual method use versus non dual method use |
|---|---|---|---|---|---|---|---|---|---|
| Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | |||||||
| Age | 22.1 (4.4) | 18.4 (3.3) | 23.4 (3.6) | 23.7 (4.1) | 21.3 (3.3) | 26.6 (3.0) | 0.83 (0.73–0.95)*** | 0.85 (0.75–0.97)** | 0.79 (0.68–0.93)*** |
| Race | |||||||||
| 92 (89.3) | 27 (93.1) | 13 (92.9) | 26 (100) | 16 (80.0) | 10 (71.4) | 1(Ref) | 1(Ref) | 1(Ref) | |
| 5 (4.9) | 0 (0) | 0 (0) | 0 (0) | 2 (10.0) | 3 (21.4) | 0.83 (0.13–5.29) | 0.37 (0.06–2.35) | 2.04 (0.31–13.33) | |
| 6 (5.8) | 2 (6.9) | 1 (7.1) | 0 (0) | 2 (10.0) | 1 (7.1) | 3.72 (0.37–37.72) | 0.55 (0.07–4.15) | 3.06 (0.40–23.54) | |
| Hispanic | 5 (4.9) | 1 (3.5) | 1 (7.1) | 1 (3.9) | 2 (10.0) | 0 (0) | 3.77 (0.37–38.09) | 1.89 (0.19–19.03) | 2.89 (0.38–22.04) |
| Enrolled in school | 43 (41.8) | 21 (72.4) | 3 (21.4) | 5 (19.2) | 12 (60.0) | 2 (14.3) | 3.72 (1.29–10.74)** | 2.70 (0.87–8.41)* | 6.60 (2.14–20.39)**** |
| Ever homeless | 18 (17.5) | 2 (6.9) | 4 (28.6) | 5 (19.2) | 3 (15.0) | 4 (28.6) | 0.89 (0.29–2.72) | 0.53 (0.17–1.61) | 0.56 (0.14,2.21) |
| Currently employed | 30 (29.1) | 5 (17.2) | 8 (57.1) | 5 (19.2) | 9 (45.0) | 3 (21.4) | 4.00 (1.43–11.15)*** | 0.68 (0.25–1.81) | 1.94 (0.68–5.59) |
| Existential Wellbeing | 45.9 (9.1) | 46.4 (8.9) | 49.3 (8.8) | 42.8 (8.4) | 46.9 (8.7) | 46.1 (10.9) | 1.10 (1.00–1.11)* | 0.96 (0.91–1.01) | 1.02 (0.96–1.08) |
| CES-D Score | 5.8 (6.0) | 4.8 (5.3) | 3.6 (3.3) | 7.4 (6.8) | 5.7 (7.2) | 7.3 (6.1) | 0.93 (0.86–1.01)* | 1.03 (0.96–1.12) | 0.98 (0.90–1.07) |
| Knowledge Score | 6.5 (1.6) | 6.0 (1.7) | 7.2 (1.9) | 6.3 (1.3) | 7.1 (1.2) | 6.5 (1.6) | 1.46 (1.03–2.08)** | 0.89 (0.65–1.23) | 1.26 (0.87–1.83) |
| Taking HIV meds | 92 (89.3) | 29 (100.0) | 10 (71.4) | 23 (88.5) | 17 (85.0) | 13 (92.9) | 0.43 (0.11–1.61) | 1.45 (0.40–5.28) | 1.00 (0.23–4.15) |
| Current viral load | |||||||||
| 65 (63.1) | 22 (75.9) | 10 (71.4) | 9 (34.6) | 18 (90.0) | 6 (42.9) | 1 (ref) | 1 (ref) | 1 (ref) | |
| 38 (36.9) | 7 (24.1) | 4 (28.6) | 17 (65.4) | 2 (10.0) | 8 (57.1) | 0.13 (0.04–0.38)**** | 0.94 (0.36–2.43) | 0.10 (0.20–0.45)*** | |
| CD4 Count | 446.0 (289.5) | 519.6 (249.4) | 553.9 (154.2) | 306.4 (299.6) | 516.7 (345.6) | 343.6 (264.83) | 1.00 (1.00–1.01)*** | 0.99 (0.99–1.00) | 1.001 (1.00–1.003)* |
| Hospitalized for HIV related illness | 29 (28.2) | 6 (20.7) | 2 (14.3) | 9 (34.6) | 6 (30.0) | 6 (42.9) | 0.51 (0.19–1.42) | 1.21 (0.43–3.37) | 0.93 (0.31–2.85) |
| Percentage of meds taken in last month | |||||||||
| 48 (46.6) | 9 (31.0) | 7 (50.0) | 15 (57.7) | 7 (35.0) | 10 (71.4) | 1 (ref) | 1 (ref) | 1 (ref) | |
| 55 (53.4) | 20 (69.0) | 7 (50.0) | 11 (42.3) | 13 (65.0) | 4 (28.6) | 2.38 (0.3–6.07)* | 1.69 (0.65–4.38) | 2.70 (0.93–7.85)* | |
| Infection route | |||||||||
| 49 (47.6) | 7 (24.1) | 8 (57.1) | 13 (50.0) | 10 (50.0) | 11 (78.6) | 0.75 (0.30–1.89) | 0.47 (0.18–1.26) | 0.69 (0.25–1.93) | |
| 54 (52.4) | 22 (75.9) | 6 (42.9) | 13 (50.0) | 10 (50.0) | 3 (21.4) | 1 (ref) | 1 (ref) | 1 (ref) | |
| Prior pregnancy | 41 (39.8) | 1 (3.5) | 10 (71.4) | 15 (57.7) | 6 (30.0) | 9 (64.3) | 0.59 (0.24–1.49) | 0.40 (0.15–1.06)* | 0.25 (0.08–0.76)** |
| Has children | 36 (48.7) | 9 (64.3) | 12 (46.2) | 6 (30.0) | 9 (64.3) | 0.71 (0.29–1.79) | 0.36 (0.14–0.95)** | 0.34 (0.12–1.03)* | |
| Primary caregiver for children | 32 (43.2) | 9 (64.3) | 10 (38.5) | 5 (25.0) | 8 (57.1) | 0.86 (0.34–2.16) | 0.31 (0.12–0.83)** | 0.33 (0.11–1.05)* | |
| Want a baby together in the next year | 14 (19.4) | 3(21.4) | 2(18.2) | 1(4.6) | 3(18.8) | 5(55.6) | 0.95 (0.25–3.54) | 0.22 (0.06–0.87)** | 0.98 (0.23–4.28) |
| STD diagnosed within the year | 23 (22.3) | 3 (10.3) | 4 (28.6) | 7 (26.9) | 7 (35.0) | 2 (14.3) | 1.65 (0.59–4.63) | 1.60 (0.53–4.82) | 1.70 (0.56–5.16) |
| Ever had anal sex | 27 (36.5) | - | 8 (57.1) | 6 (23.1) | 6 (30.0) | 7 (50.0) | 1.45 (0.56–3.76) | 0.31 (0.11, 0.83)** | 0.67 (0.22–2.03) |
§ among those in a with a boyfriend in the last 12 months; STD = Sexually transmitted disease; SD = Standard Deviation; OR = Odds Ratio; CI = Confidence Interval. P-value for Chi-square * p < .10- ** p < .05- *** p < .01- **** p < .001
Among those with prior sexual activity (n = 74), 14 (18.9%) reported most or moderately effective contraceptive use only, 26 (35.1%) reported condom use only, 20 (27.0%) reported dual method use, and 14 (18.9%) used no method at last coitus. While slightly over half (51.5%) had heard of the levonorgestrel IUD (Lng-IUD; Mirena or Liletta), fewer had heard of the copper IUD (Cu-IUD; Paragard, 30.1%) or etonogestrel implant (Eng-Implant; Implanon or Nexplanon, 32.0%). Most women had received some most or moderately effective contraception in the past, primarily DMPA (63.1%) and oral contraceptive pills (42.7%); 9.7%, 8.7% and 2.9% had a lifetime history of ever using the Lng-IUD, Eng-Implant and Cu-IUD, respectively. The mean contraceptive knowledge score for the sample was 6.5 (possible range 0–9).
Almost half (45.9%) of the women with a history of sexual activity used some contraceptive method, either most or moderately effective form of birth control at last coitus (Tables
| Variable | Total | Not sexually active | Most or moderately effective contraceptive use only | Condom use only | Dual method use | No method at last sex | Most or moderately effective contraceptive use versus not using most or moderately effective contraceptive | Condom use versus no condom | Dual method use versus non dual method use |
|---|---|---|---|---|---|---|---|---|---|
| Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | |||||||
| Had a boyfriend in the previous 12 months | 1.02 (0.30–3.40) | 1.19 (0.34–4.11) | 0.86 (0.23–3.18) | ||||||
| Is/was partner a lot older that you? | 31 (43.1) | 4 (28.6) | 6 (54.6) | 12 (54.6) | 6/(37.5) | 3 (33.3) | 0.85 (0.30–2.40) | 1.10 (0.37–3.26) | 0.6 (0.19–1.95) |
| Description of relationship now§ | |||||||||
| 51 (70.83) | 8/(57.1) | 10 (90.9) | 16 (72.7) | 12 (75.0) | 5 (55.6) | 1 (ref) | 1 (ref) | 1 (ref) | |
| 21 (29.2) | 6 (42.9) | 1 (9.1) | 6 (27.3) | 4 (25.0) | 4(44.4) | 0.48 (0.14–1.63) | 1.07 (0.31–3.72) | 0.94 (0.25–3.53) | |
| Was he STD or HIV tested while having sex together § (Yes vs no/do not know) | 50 (67.6) | - | 7(50.0) | 16 (61.5) | 16 (80.0) | 11 (78.6) | 1.01 (0.38–2.67) | 1.27 (0.47–3.44) | 2.35 (0.69–8.03) |
| Do you think your most recent partner has sex with others§ | 17 (41.5) | - | 4(40.0) | 5(50.0) | 5 (41.7) | 3 (33.33) | 0.95 (0.27–3.31) | 1.43 (0.41–5.01) | 1.01 (0.26–3.96) |
| How often do you and he have sex | |||||||||
| 51 (68.9) * | - | 5 (35.7) | 19 (73.1) | 18 (90.0) | 9 (64.3) | 1 (ref) | 1 (ref) | 1 (ref) | |
| 23 (31.1) | - | 9 (64.3) | 7 (26.9) | 2 (10.0) | 5 (35.7) | 1.12 (0.42–2.99) | 0.24 (0.09–0.69)*** | 0.18 (0.04–0.83)** | |
| More than 1 partner in past 6 months | 7 (9.72) | - | 0 (0.0) | 2 (7.69) | 3 (15.00) | 2 (15.38) | 0.91 (0.19–4.38) | 1.40 (0.25–7.81) | 2.07 (0.42–10.24) |
| More than 3 lifetime partners | 43 (58.1) | - | 5 (35.7) | 16 (61.5) | 13 (65.0) | 9 (64.3) | 0.68 (0.27–1.71) | 1.71 (0.66–4.42) | 1.49 (0.51–4.31) |
| Number of partners since HIV-infected | 3.24 (4.7) | 2.88 (4.8) | 2.86 (2.8) | 3.04 (3.1) | 4.35 (7.8) | 2.64 (2.6) | 1.04 (0.94–1.16) | 1.05 (0.92–1.19) | 1.06 (0.95–1.18) |
| Talked about pregnancy | 41 (55.4) | - | 8 (57.1) | 9 (34.6) | 15 (75.0) | 9 (64.3) | 2.56 (0.99–6.61)* | 0.71 (0.27–1.83) | 3.23 (1.03–10.15)** |
| Talked about condom use | 35 (47.3) | - | 7 (50.0) | 11 (42.3) | 12 (60.0) | 5 (35.7) | 1.90 (0.75–4.80) | 1.33 (0.52–3.43) | 2.02 (0.71–5.75) |
| Talked about contraceptive use | 23 (31.1) | - | 5 (35.7) | 7 (26.9) | 8 (40.0) | 3 (21.4) | 1.90 (0.69–5.02) | 1.21 (0.43–3.37) | 1.73 (0.59–5.08) |
| Talked about STD testing | 27 (36.5) | - | 4 (28.6) | 9 (34.6) | 7 (35.0) | 7 (50.0) | 0.72 (0.28–1.87) | 0.82 (0.31–2.18) | 0.92 (0.31–2.67) |
| Talked about HIV testing | 38 (51.4) | - | 10 (71.4) | 12 (46.2) | 9 (45.0) | 7 (50.0) | 1.4 (0.56–3.51) | 0.54 (0.21–1.41) | 0.71 (0.25–1.98) |
| "Have you ever had a discussion about reproductive health or family planning with a health care worker?" | 46 (44.7) | 13 (44.8) | 8 (57.1) | 9 (34.6) | 9 (45.0) | 7 (50.0) | 1.5 (0.60–3.78) | 0.56 (0.22–1.44) | 1.02 (0.37–2.87) |
€ 1 or more missing; § among those in a with a boyfriend in the last 12 months;; STD = Sexually transmitted disease; SD = Standard Deviation; OR = Odds Ratio; CI = Confidence Interval. P-value for Chi-square * p < .10- ** p < .05- *** p < .01- **** p < .001
| Variable | Total | Not sexually active | Most or moderately effective contraceptive use only | Condom use only | Dual method use | No method at last sex | Most or moderately effective contraceptive use versus not using most or moderately effective contraceptive | Condom use versus no condom | Dual method use versus non dual method use |
|---|---|---|---|---|---|---|---|---|---|
| Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | Unadjusted OR (95%CI) | |||||||
| Access to health insurance | |||||||||
| 36 (35.0) | 6 (20.7) | 7 (50.0) | 10 (38.5) | 7 (35.0) | 6 (42.9) | 1 (ref) | 1 (ref) | 1 (ref) | |
| 9 (8.7) | 5 (17.2) | 0 | 1 (3.85) | 1 (5.0) | 2 (14.3) | 0.38 (0.04–4.09) | 0.77 (0.10–6.18) | 1.10 (0.10–12.27) | |
| 58 (56.3) | 18 (62.1) | 7 (50.0) | 15 (57.7) | 12 (60.0) | 6 (42.9) | 1.03 (0.40–2.67) | 1.59 (0.60–4.23) | 1.41 (0.48–4.16) | |
| "Do you receive reproductive health or OB/GYN services from any other clinic or doctor besides the Ponce Clinic?" | 21 (20.4) | 3 (10.3) | 7 (50.0) | 6 (23.1) | 2 (10.0) | 3 (21.4) | 1.24 (0.43–3.59) | 0.38 (0.13–1.12)* | 0.26 (0.06–1.27) |
| Knows about services/treatments to prevent mother to child transmission | 73 (71.6) * | 18 (62.1) | 12 (85.7) | 21 (80.8) | 11 (57.9)€ | 11 (78.6) | 0.58 (0.20–1.68) | 0.54 (0.17–1.71) | 0.31 (0.10–0.98)* |
OB/GYN = Obstetrician Gynecologist; SD = Standard Deviation; OR = Odds Ratio; CI = Confidence Interval.
P-value for Chi-square * p < .10- ** p < .05- *** p < .01- **** p < .001
| Total | Not sexually active | Most or moderately effective contraceptive use only | Condom use only | Dual method use | No method at last sex | Most or moderately effective contraceptive use versus not using most or moderately effective contraceptive | Condom use versus no condom | Dual method use versus non dual method use | |
|---|---|---|---|---|---|---|---|---|---|
| HIV-related stigma/ discrimination | 1.00 (0.95–1.04) | 0.99 (0.94–1.04) | 1.00 (0.95–1.05) | ||||||
| 18.90 (10.1) | 18.86 (11.1) | 18.36 (15.9) | 18.15 (6.4) | 18.85 (6.7) | 21 (11/63) |
SD = Standard Deviation; OR = Odds Ratio; CI = Confidence Interval.
| Predictor Variable | AOR (95% CI) |
|---|---|
| Current viral load | |
| Undetectable | 1 |
| Detectable | 0.13 (0.04, 0.38) |
| Age | 0.85 (0.74, 0.98) |
| How often do you and he have sex | |
| Once per week or less | 1 |
| More than once per week | 0.24 (0.08, 0.72) |
| Enrolled in school | 5.63 (1.53,20.71) |
| Current viral load | |
| Undetectable | 1 |
| Detectable | 0.13 (0.03,0.69) |
| How often do you and he have sex | |
| Once per week or less | 1 |
| More than once per week | 0.14 (0.03,0.82) |
AOR = adjusted odds ratio from multivariable logistic regression models using stepwise regression. For each of the 3 models, variables with AOR data are the only remaining variables in final models after stepwise elimination. OR are adjusted for the effect of the other variables included in the final model after stepwise elimination.; Y/N = Yes/No; for these variables reference is No. CI = Confidence Interval.
The majority (62.2%) of women with a history of sexual activity reported using a condom at last coitus (
About a quarter (27.0%) of the women with a history of sexual activity reported using dual methods at last coitus (
Among our cohort of young HIV-infected women in Atlanta, Georgia, ineffective pregnancy prevention and unsafe sexual practices were prevalent, despite participants being actively engaged in comprehensive HIV care. Similar rates of low contraceptive and dual method use have been described in other HIV-infected cohorts[
There have been several studies of behavioral interventions involving counseling or education aimed at increasing condom or dual method use uptake and continuation among young women living with HIV [
While partner communication and disclosure are often encouraged as part of counseling for HIV-infected individuals, partner communication factors related to HIV/STI prevention or exclusivity did not appear to influence practices in the cohort. Among sexually active women, those perinatally infected did not behave differently from than their horizontally infected counterparts with regard to pregnancy and HIV/STI prevention. However, those with improved virologic suppression and higher CD4+ T-cell counts were more likely to use contraception. These findings suggest that HIV-infected women who are adherent to antiretrovirals may be more consistent with clinic visits and other medications, including the injectable or oral contraceptive methods. Given that poor virologic control is associated with increased risk of mother-to-child transmission, the need for more effective strategies to address pregnancy prevention is paramount to management in this challenging group. One potential approach is to reduce the user-dependent contraceptives by promoting long-acting reversible contraceptives.
While contraceptive use was higher among women with virologic suppression, condom use did not significantly differ between groups. Although this suggests that knowledge of virologic suppression might not alter condom use, this is a dynamic relationship that will require a longitudinal study design. Similarly concerning is that those with more frequent coitus reported less condom use. This finding has been reported by other investigators with some proposing “condom use fatigue.”[
One might expect that desire for a child in the next year would be associated with contraceptive use at last coitus. The data did not support this. However, since few women desired children in the next year, the confidence intervals were wide. Contraceptive use is not solely influenced by desire for a child, highlighting the need to recognize the broad cadre of factors that determine usage.[
This is one of the first studies to examine potential factors that influence contraceptive and condom use practices from a social-ecological framework among a high-risk cohort of young HIV-infected women in the United States. However, there are several limitations for this analysis. While a strength of our study was the broad range of potential influences we evaluated, this can result in a greater chance for at least one Type I error. Further, our small sample size limits our power to detect potential associations that may exist as well as to conduct a multinomial logistic regression to evaluate distinct categorical differences among those who use condoms only, contraceptives only or dual method use. Additionally, as our data are cross-sectional, we cannot comment on causality or temporality of these factors or know if changes in any of these characteristics may result in subsequent changes in practices. We largely relied on self-report, which may increase our chances of recall and social desirability bias. To reduce this risk of social desirability bias, we aimed to ensure confidentiality and utilized ACASI. As we did not assess partner characteristics, such as HIV status, we are limited in our analysis of partner dynamics. Although only 19% of subjects approached declined participation, our results may be biased towards individuals more interested in or knowledgeable about contraception or those with different sexual practices than those who declined participation. Lastly, we focused on a population of young adults in metropolitan Atlanta with HIV, thus generalizability of our findings may be limited to other cohorts of young HIV-infected women.
In conclusion, our results highlight the need to enhance individual-level interventions to improve pregnancy and STI/HIV prevention practices among young HIV-infected women in the United States. While provider-level, societal- and community-level factors may be important to other aspects of an individual’s overall wellbeing, they were not strongly influential on behaviors in our study. Thus, efforts must shift focus to developing and evaluating individual-level interventions, such as patient-tailored education and counseling, to increase the uptake of dual methods with user-independent contraceptives. Furthermore, development of new preventive strategies, such as multipurpose prevention technologies that are effective at preventing pregnancy and STIs and/or HIV, may help to overcome the persistent challenges in consistent condom use.
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