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PLOS ONE logoLink to PLOS ONE
. 2009 Dec 7;4(12):e7925. doi: 10.1371/journal.pone.0007925

Fertility Desires and Intentions of HIV-Positive Women of Reproductive Age in Ontario, Canada: A Cross-Sectional Study

Mona R Loutfy 1,2,*, Trevor A Hart 3,4, Saira S Mohammed 1, DeSheng Su 5, Edward D Ralph 6, Sharon L Walmsley 2,5, Lena C Soje 7, Marvelous Muchenje 8, Anita R Rachlis 2,9, Fiona M Smaill 10, Jonathan B Angel 11, Janet M Raboud 4,5, Michael S Silverman 12, Wangari E Tharao 8, Kevin Gough 2,13, Mark H Yudin 14; for the Ontario HIV Fertility Research Team
Editor: Landon Myer15
PMCID: PMC2785467  PMID: 19997556

Abstract

Background

Improvements in life expectancy and quality of life for HIV-positive women coupled with reduced vertical transmission will likely lead numerous HIV-positive women to consider becoming pregnant. In order to clarify the demand, and aid with appropriate health services planning for this population, our study aims to assess the fertility desires and intentions of HIV-positive women of reproductive age living in Ontario, Canada.

Methodology/Principal Findings

A cross-sectional study with recruitment stratified to match the geographic distribution of HIV-positive women of reproductive age (18–52) living in Ontario was carried out. Women were recruited from 38 sites between October 2007 and April 2009 and invited to complete a 189-item self-administered survey entitled “The HIV Pregnancy Planning Questionnaire” designed to assess fertility desires, intentions and actions. Logistic regression models were fit to calculate unadjusted and adjusted odds ratios of significant predictors of fertility intentions. The median age of the 490 participating HIV-positive women was 38 (IQR, 32–43) and 61%, 52%, 47% and 74% were born outside of Canada, living in Toronto, of African ethnicity and currently on antiretroviral therapy, respectively. Of total respondents, 69% (95% CI, 64%–73%) desired to give birth and 57% (95% CI, 53%–62%) intended to give birth in the future. In the multivariable model, the significant predictors of fertility intentions were: younger age (age<40) (p<0.0001), African ethnicity (p<0.0001), living in Toronto (p = 0.002), and a lower number of lifetime births (p = 0.02).

Conclusions/Significance

The proportions of HIV-positive women of reproductive age living in Ontario desiring and intending pregnancy were higher than reported in earlier North American studies. Proportions were more similar to those reported from African populations. Healthcare providers and policy makers need to consider increasing services and support for pregnancy planning for HIV-positive women. This may be particularly significant in jurisdictions with high levels of African immigration.

Introduction

Indisputable health improvements have occurred with the advent of antiretroviral therapy (ART) over the last 15 years, resulting in dramatic reductions in HIV-related morbidity and mortality and yielded improvements in quality of life [1]. Breakthroughs in pregnancy care have reduced the risk of vertical transmission to <1% if pregnant women receive timely ART, achieve optimal viral suppression, deliver by caesarean-section when appropriate, and avoid breastfeeding [2]. Over the past several years, the worldwide HIV epidemic has reached gender parity, and in parallel, the Canadian demographics have shifted towards increased rates of females being infected [3], [4]. Twenty-eight percent of all new HIV infections in Canada are diagnosed in women, who now represent 17% of Canada's HIV-positive population [4]. Furthermore, over 80% of HIV-positive women are of reproductive age [4].

This combination of factors suggests that many HIV-positive women may desire to become pregnant and that pregnancy planning will become an increasingly important component of HIV medicine. It is important to understand the fertility desires and intentions of the current generation of HIV-positive women in order to develop programs to support them and their current and future counterparts in planning safer pregnancies that protect the health of the women, their partners and their children.

Previous studies addressing the fertility intentions of HIV-positive women have been important but some are of limited scope [5][33]. Most were conducted before the widespread use of combination ART, or included only small samples of women [20][33]. Others examined fertility choices in selected populations such as drug using, Latina, Asian, South Asian, Caucasian, and Aboriginal women [7][9], [11], [32]. Consequently, we developed this study to engage a larger number of women living in Ontario, Canada and to sample a population that uniquely reflects the global community of women living with HIV. Due to Ontario's openness to immigration and the large community of African refugees, population-based observational HIV studies carried out in Ontario can provide important insights relevant to similar centres worldwide.

This cross-sectional study was designed to gather information about the fertility desires, intentions and actions of HIV-positive women, and to identify predictors of fertility intentions. By collecting information from women of reproductive age in communities across Ontario, we hope to aid healthcare providers and policy makers in identifying gaps and in planning for needed services.

Methods

Ethics Statement

The overall study received ethics approval from the Women's College Research Institute Research Ethics Board and each research site received ethics approval from their local institutional research ethics board prior to commencement of the study at their site. Written informed consent was obtained from every participant prior to the start of any research activities.

Study Design and Population

A cross-sectional study using a survey instrument was carried out with participants who met the following inclusion criteria: 1) HIV-positive, 2) biologically female, 3) of reproductive age (between the ages of 18 and 52), 4) living in Ontario, Canada, and 5) ability to read English or French. The upper age limit was chosen to reflect the cut-off for fertility clinic consultation in Canada. A planned sample size of 525 was calculated in order to estimate the proportion of women intending to have children in the future with a 95% confidence interval (CI) of ≤ ±5%. Recruitment was conducted from October 5th, 2007 to March 31st, 2009 through 28 AIDS service organizations (ASOs), eight primary care and specialty HIV clinics, and two community health centres (CHCs) across the province of Ontario. An invitation email was sent out to all Ontario ASOs listed on the Canadian AIDS Society website (the national umbrella ASO) and all clinics and CHCs known by the investigators that care for HIV-positive women (56 invited sites, 12 declined, 6 agreed and did not recruit). Recruitment and study qualification determination was carried out by a single assigned research staff at each ASO, clinic and CHC following a pre-developed recruitment plan (available upon request) [34]. The recruitment was carried out in a consecutive manner as research staff were instructed to invite every consecutive qualifying woman who received services in their centre or clinic on all days that care was provided to participate. While records were not maintained on the exact numbers of candidates who were eligible, approached and agreed to participate, coordinators were asked to record the numbers that declined and the reason. An attempt was made for the recruitment to be stratified such that the study sample would be proportional to the geographic distribution of HIV-positive female population in Ontario [35]. The geographic unit was identified as the provincial regions laid out by the provincial Public Health and the specific regions are noted in Figure 1 and Table 1. This non-random sampling technique was used in an effort to obtain a representative sample of HIV-positive women of reproductive age living in Ontario in the absence of a registry of HIV-positive which, if available, would have allowed for a random sample. Bi-annual advisory meetings were held with investigators, coordinators and community representatives in order to monitor and discuss the actual and targeted recruitment for each region and subsequent regional recruitment strategies were accordingly implemented. Once written consent was obtained, the survey could be completed at the site or at home. If a participant responded that she had previously filled out the questionnaire at another site, her survey was omitted. It should be noted that many of the questions in the survey were of an emotional nature and found to serve as triggers that could potentially contribute to psychological distress. After understanding this aspect of the survey in the pilot phase (described below), we set up a debriefing protocol after the survey was completed along with a province-wide counselling program if needed.

Figure 1. Comparison of regional distribution of study population to the regional distribution of Ontario HIV-positive female population from the 2006 epidemiologic data by provincial region laid out by the provincial Public Health [35].

Figure 1

Figure footnote: While target recruitment was 525, only 493 were recruited and only 490 met the inclusion criteria for analysis. Recruitment was halted due to futility of recruitment in one provincial region with low recruitment. The chi-square test p-values comparing the distribution of the sample and the total HIV-positive female population in Ontario according to geographic unit was <0.05 due to two over-enrolling regions and one under-enrolling region. However, the main reason for the regional representation of enrolment was to ensure that not all participants were from Toronto. When the chi-square test is carried out to assess Toronto vs. non-Toronto participants, the p-value is 0.6.

Table 1. Demographic characteristics of study participants.

Characteristics Characteristics
Age (years): 38 (32–43) Education:
18–25 27 (6%) Less than high school 132 (31%)
26–40 268 (56%) High school or higher 296 (69%)
>40 181 (38%) Annual household income:
Ethnic background: <20K 188 (46%)
African 219 (47%) 20–40K 125 (31%)
Caribbean 55 (12%) >40K 92 (23%)
European-British 57 (12%) Years since HIV diagnosis: 7 (4–12)
French-Canadian 52 (11%) HIV risk factors:
Aboriginal 38 (8%) Sex with men 321 (68%)
Other 48 (10%) IDU 44 (9%)
Birth place: Blood transfusion/blood product 36 (8%)
Africa 211 (44%) Vertical transmission 4 (1%)
Canada 186 (39%) Other 50 (11%)
Caribbean 49 (10%) Unknown 62 (13%)
Other 31 (6%) Hepatitis C 69 (15%)
Years in Canada: 14 (3–33) Hepatitis B 16 (3%)
Region in Ontario: Recent CD4 count: 466 (320–690)
Toronto 254 (52%) ≥200 cells/mm3: 317 (90%)
Ottawa 66 (13%) Recent VL (log10 copies/mL): 3.8 (2.9–4.5)
Central West 58 (12%) Ever on HIV medication: 413 (86%)
Central East 9 (2%) When started: Apr 04 (Jan 00-Sep 06)
Southwest 66 (13%) Currently on HIV treatment: 356 (74%)
Northern 19 (4%) Years on treatment: 4.5 (1.9–9.2)
Eastern 18 (4%) Partner:
Religion: No partner 159 (33%)
Christian 147 (31%) HIV negative 164 (34%)
Catholic 127 (27%) HIV positive 114 (24%)
Protestant 76 (16%) Unknown 46 (10%)
Atheist/none 23 (5%) Current relationship:
Muslim 21 (4%) In sexual relationship 264 (55%)
Aboriginal Traditional 17 (4%) Monogamous relationship 249 (51%)
Other 65 (14%) Current contraceptive use 174 (36%)
Sexual orientation: Last pregnancy planned 176 (43%)
Heterosexual 407 (89%) Fertility history:
Lesbian/Bisexual 42 (9%) Lifetime Pregnancies:
Other 8 (2%) 0 58 (12%)
Work: 1 80 (18%)
Working 186 (39%) 2 95 (20%)
On government assistance 239 (50%) ≥3 235 (50%)
Marital Status: Lifetime Births:
Never married 135 (29%) 0 124 (26%)
Married or common-law partner 173 (38%) 1 127 (27%)
Divorced/widowed 115 (25%) 2 96 (20%)
Living with a partner (neither married nor common-law) 35 (8%) ≥3 131 (27%)

Continuous variables presented as medians with interquartile range; categorical variables presented as N (%). IDU, injection drug use; VL, viral load.

Survey Instrument and Validation

A 189-item survey instrument, “The HIV Pregnancy Planning Questionnaire”, was created using the methods of Fowler for instrument development [36] and based on the framework for modeling fertility motivation developed by Miller and colleagues [37]. The framework is partially based on the Traits-Desires-Intentions-Behaviour (TDIB) sequence that is required for pregnancy [37]. Questions from four previously validated surveys were included in the instrument including the “Contraceptive Decisions of HIV Positive Women” survey by Ogilvie and colleagues [11], the “HIV Cost and Services Utilization Study” survey by Chen and colleagues [26], the “Center for Special Studies” survey in Sagamu, Nigeria by Oladapo and colleagues [18] and the “Pregnancy Planning Instrument used for non-pregnant women” by Morin and colleagues [38]. The survey consisted of 12 domains including: 1) interest/desire to have children, 2) intent to have children in the future, 3) behaviour related to the pursuit of fertility, 4) menstrual, birth control and sexual history, 5) pregnancy and birth history, 6) perceived support for becoming pregnant, 7) satisfaction with providers, 8) needs assessment, 9) HIV medical history, 10) demographics, 11) anxiety and depression and 12) HIV stigma (full survey instrument available upon request).

The survey was first developed in English, and then translated into French using the back translation method [39]. Content validity was achieved by using items from the four previously validated surveys mentioned above [11], [18], [26], [38], by developing items based on an extensive literature search exploring factors that determined reproductive decisions in HIV-positive women [5]-[33], and by reviewing the questions with a project advisory panel of experts including HIV specialists, obstetricians, midwives and community members. Face validity was achieved by initially piloting the survey with 20 HIV-positive women in two focus groups. The focus group participants confirmed that the survey instrument items actually appeared to be measuring the intended items related to the domains. Furthermore, participants were asked to comment on each item in terms of comprehension, clarity and relevance. Further pilot testing was carried out with an initial 52 HIV-positive women that met the inclusion criteria and factor analysis was carried out to further determine the psychometric properties of the survey allowing adjustments prior to full implementation. Internal consistency of response was assessed by including an identical question twice in the survey using Cohen's kappa [11], [40].

Statistical Analysis

Survey data was entered twice and verified prior to analysis. Statistical analyses were performed using SAS Version 9.1.3 (SAS Institute, Cary, North Carolina, USA). Baseline characteristics of the study population were summarized using medians and interquartile ranges (IQR) for continuous variables and frequencies and proportions for categorical variables. The geographic distribution of the study population was compared to the distribution of HIV-positive women living in Ontario using the chi-square test.

The primary outcome of interest was intention of pregnancy. Secondary outcomes included desire and actions taken to become pregnant. The question used to represent pregnancy intention, based on previous surveys [11], [18], [26], [38], was “How many children do you expect to give birth to in the future?” The variable was dichotomized into “no intention” if answered “0” and “intends pregnancy” if answered “1 or greater”. If the woman did not answer this question but responded “Never” to the question regarding when in the future she planned to be pregnant, she was assumed to have no intention of pregnancy. Women who did not answer that question but provided a time frame for future pregnancies were assumed to have intention of pregnancy in the future. The question used to represent pregnancy desire, based on previous surveys [11], [18], [26], [38], was “How many children would you like to give birth to in the future?” The variable was dichotomized into “no desire” if answered “0” and “desires pregnancy” if answered “1 or greater”. Similarly, missing data for women who did not answer that question was filled in using data from the question asking about timing of future desired pregnancies. Additional outcomes assessed included timing and number of expected pregnancies. These outcomes have been reported using medians and IQR for continuous variables and proportions for categorical variables.

Univariate logistic regression models were fit to determine the unadjusted odds ratios with 95% CIs for predictors of the primary outcome, pregnancy intention. The final multivariable logistic regression models included covariates that were a priori believed to be related to future intentions to have a child, such as age and number of live births. Additional variables which were significant at p<0.20 in the univariate analyses were candidates for inclusion in final multivariable logistic regression models for pregnancy intention. When multiple covariates measured similar phenomenon (e.g. ethnic background and country of birth), the variable representing each construct with the most statistical significance was chosen. Finally, the qualifying variables were entered into the multivariable model and finally selected by stepwise-selection method. Only the predictors with a significant effect (p<0.05) remained in the final multivariable model.

Results

Participants and Survey Validation

A total of 493 HIV-positive women living in Ontario, Canada were recruited from the 38 sites in Ontario. Three participants did not meet the inclusion criteria (one was over the age of 52, and two were not living in Ontario). Therefore, 490 surveys were included in the final analysis. The mirror question had 99.4% of observations in agreement (487/490) with a Cohen's kappa of 0.88 [95% CI 0.74–1.00] indicating excellent agreement between responses [11], [40]. The factor analyses of the pilot survey did not result in any modifications.

The final study population of 490 HIV-positive women living in Ontario, Canada had a median age of 38 (IQR, 32–43, range, 18–52). Of these, 61% were born outside of Canada, 52% were living in Toronto, 47% defined themselves as being of African ethnicity and 74% were currently on ART. Twenty-nine percent indicated that they had never been married and 51% stated they were in a monogamous relationship. Eighty-eight percent had previously experienced at least one pregnancy and 74% had given birth (31% after testing HIV positive). Only 15% of our population was co-infected with hepatitis C, consistent with Ontario statistics [35]. The comparison of the geographic distribution of the study population to that of the current distribution of HIV-positive women living in Ontario is presented in Figure 1 [35]. Furthermore, the recruitment matched the ethnicity distribution of the province [41]. Table 1 further summarizes the demographic characteristics of the entire cohort.

Fertility Desires, Intentions and Actions

Using the TDIB model for fertility motivation, we have presented the participants' desires to become pregnant followed by their intentions and actions in Table 2. Of 490 women surveyed, 25 (5%) did not answer the question regarding fertility desire but fertility desire was determined for 10 of these women from the question regarding the desiring timing of future pregnancies. Of the resulting 475 women with fertility desire responses, 69% (95% CI, 64%–73%) stated positively that they would like to give birth in the future. Thirty-three women did not answer the question regarding fertility intentions, but intentions were determined from the question regarding the intended timing of future pregnancies for eight women. Of the resulting 465 women with fertility intention responses, 58% (95% CI, 53%–62%) stated positively that they were expecting to give birth in the future. Approximately half of those desiring and intending to have children in the future had taken action to become pregnant (Table 2). In total, 32% had approached their partner, 26% had spoken to their doctor about pregnancy and 12% had stopped birth control. The median number of children expected in the future was 1 (IQR, 0–2). Twenty percent of women expected the pregnancies to be within one year, 12% between one and two years and 7% between two and four years. Of the 315 women who desired to give birth and who had data on their intentions, 54 did not intend to give birth in the future (Table S1). These women tended to be older (>40), of British, European or French-Canadian ethnicity and hepatitis C co-infected (Table S2).

Table 2. Desires, intentions and actions of HIV-positive women to become pregnant.

Characteristics N (%)
Fertility Desires
Number of children desired in future:
 0 142 (31%)
 1 147 (32%)
 2 122 (26%)
 >2 54 (12%)
Fertility Intentions
Number of children intended in future:
 0 194 (42%)
 1 121 (26%)
 2 101 (22%)
 >2 41 (9%)
Fertility Actions
About having a baby:
 I have approached my partner 146 (32%)
 My partner has approached me 138 (30%)
 I have spoken to my doctor 123 (26%)
 I have stopped using a birth control method in the past 12 months for getting pregnant 54 (12%)
General behavior in regard to a possible pregnancy:
 Try to avoid getting pregnant 225 (53%)
 Don't do anything 150 (35%)
 Try to get pregnant 39 (9%)
 Currently pregnant 13 (3%)
Current behavior in regard to a possible pregnancy:
 Birth control every time I have sex to avoid getting pregnant 185 (49%)
 Not use birth control and wouldn't be unhappy about getting pregnant 26 (7%)
 Not use birth control but I am not trying to get pregnant 101 (27%)
 Not use birth control and I am trying to get pregnant 31 (8%)

Uni- and Multi-Variable Analysis for Fertility Intention

In the univariable analysis, HIV-positive women who intend to have children were more likely to be younger, of African ethnicity, not born in Canada, in Canada for a shorter duration, living in Toronto, diagnosed with HIV for a shorter duration, taking ART for a shorter duration, never married and were less likely to have acquired HIV through needle sharing, be co-infected with hepatitis B and C and have previously been pregnant and have given birth (Table 3). Covariates with no significant impact on fertility intentions included religion, employment status, education level, income, contraceptive use, previous planned pregnancy, marital status and sero-status of partner. Dividing African ethnicity into individual African countries did not influence the results (Table S3).

Table 3. Distribution of study participants by intention to have children in the future.

Characteristics Intend Children Unadjusted Adjusted
Yes (N = 266) No (N = 199) Odds Ratio (95% CIs) p-value Odds Ratio (95% CIs) p-value
Age
Age: mean (±SD) 34.6±6.4 41.1±7.4 0.87 (0.84, 0.90) <0.0001
Age (piecewise)a
 18–25 1.08 (0.80, 1.45) 0.62
 25–40 0.95 (0.89, 1.02) 0.15
 >40 0.71 (0.63, 0.80) <0.0001
Ethnic background:
African 162 (78%) 45 (22%) 1 1
Caribbean 33 (65%) 18 (35%) 0.51 (0.26, 0.99) 0.05 0.34 (0.15, 0.73) 0.006
European-British/French-Canadian 25 (25%) 77 (75%) 0.09 (0.05, 0.16) <0.0001 0.10 (0.05, 0.20) <0.0001
Aboriginal/Other 40 (48%) 44 (52%) 0.25 (0.15, 0.43) <0.0001 0.27 (0.13, 0.54) 0.0002
Birth place:
Africa 154 (77%) 45 (23%) 1
Canada 61 (34%) 117 (66%) 0.15 (0.10, 0.24) <0.0001
Caribbean 30 (67%) 15 (33%) 0.58 (0.29, 1.18) 0.13
Other 12 (40%) 18 (60%) 0.19 (0.09, 0.43) <0.0001
Years in Canada (for those not born in Canada): Median (IQR) 7 (2–20) 33 (12.8–42.8) 0.94 (0.92, 0.95) <0.0001
Region in Ontario:
Toronto 179 (74%) 64 (26%) 1 1
Non-Toronto 87 (39%) 135 (61%) 0.25 (0.17, 0.37) <0.0001 0.40 (0.24, 0.68) 0.0007
Marital status:
Never married 83 (66%) 42 (34%) 1
Married or common-law Partner 99 (60%) 67 (40%) 0.75 (0.46, 1.21) 0.24
Divorced/widowed 54 (49%) 57 (51%) 0.48 (0.28, 0.81) <0.01
Living with a partner (neither married nor common-law) 15 (44%) 19 (56%) 0.40 (0.18, 0.86) 0.02
Annual household income in CAD:
<20K 95 (54%) 82 (46%) 1.24 (0.75, 2.05) 0.41
20–40K 73 (62%) 45 (38%) 1.73 (1.00, 3.02) 0.05
>40K 44 (48%) 47 (52%) 1
Years since HIV diagnosis: Median (IQR) 6 (3–10) 9 (5–15) 0.90 (0.87, 0.94) <0.0001
IDU: 11 (26%) 31 (74%) 0.23 (0.11, 0.47) <0.0001
Hepatitis C co-infected 17 (27%) 47 (73%) 0.23 (0.13, 0.42) <0.0001
Recent CD4 Count ≥200 (cells/mm3): 174 (58%) 126 (42%) 1.38 (0.68, 2.81) 0.37
Years on HIV medication: Median (IQR) 3.9 (1.5–7.4) 6.1 (2.4–10.8) 0.92 (0.88, 0.96) <0.001
Current Relationship
In sexual relationship 151 (59%) 104 (41%) 1.24 ( 0.86, 1.80) 0.26
Monogamous relationship 133 (55%) 109 (45%) 0.84 (0.58, 1.21) 0.34
Current contraceptive use 97 (58%) 71 (42%) 1.08 ( 0.74, 1.59) 0.68
Last pregnancy planned 93 (56%) 73 (44%) 1.00 ( 0.67, 1.50) 0.99
Fertility History
Lifetime pregnancies:
 0–1 87 (64%) 48 (36%) 1.53 (1.01, 2.31) 0.05
 ≥2 171 (54%) 144 (46%) 1
Lifetime births:
 0–1 151 (63%) 89 (37%) 1.64 (1.13, 2.37) <0.01 1.87 (1.11, 3.16) 0.02
 ≥2 111 (51%) 107 (49%) 1 1
a

Categorized age as a continuous variable in the model; SD, standard deviation; CIs, confidence intervals; IQR, interquartile range; IDU, injection drug user. Row percents presented for univariate analysis.

The results from the multivariable logistic regression modeling revealed that independent predictors of intendions to have children for HIV-positive women of reproductive age living in Ontario, Canada were age, ethnic background, living in Toronto and number of lifetime births (Table 3). Therefore, an HIV-positive woman in her 20 s or 30 s, of African descent, living in Toronto, who had already given birth to no more than one child, would be most likely to intend to become pregnant (Figure 2).

Figure 2. Predicted probability of intention to become pregnant based on age, Toronto residence or not, and ethnic background from the piecewise multivariable logistic regression model.

Figure 2

Discussion

In this cross-sectional study of 490 HIV-positive women of reproductive age living in Ontario, Canada, we found that 69% desire and 58% intend to become pregnant in the future. These proportions are higher than the previous Canadian and American reports with similar inclusion criteria of fertility intentions of 26% and 29%, respectively [11], [26]. The differences between our results and the previous Canadian study [11] conducted in the province of British Columbia likely relate to the unique epidemiology of HIV infection in that province, where the population includes a significant number of drug users (64%), high rates of hepatitis C co-infection (65%) and a high proportion of women who identify as Aboriginal (43%); all variables which were associated with lower fertility intentions in our study. The previous American study [26] was carried out in a population enrolled in 1996 and with a second follow-up in 1997 and 1998, a period prior to the wide use and successes of ART, likely accounting for much of the discrepancy. Furthermore, the demographic characteristics of the HIV-positive women in the United States differ from Canada with fewer immigrants and more African Americans and Latinas being affected than in Canada. Our proportions are very similar to reports of fertility desires and intentions reported in African studies. In a Nigerian study, the researchers found that 68% and 65.5% of HIV-positive women desired and intended to have children [18]. This could relate to the fact that many HIV-positive women living in Ontario, Canada were born in Africa and have sought refugee status in or immigrated to Canada (47% identified as African ethnicity). Finally, in a study of the general Canadian female population, 37.5% reported intention of pregnancy [42]. The higher proportions in our study may reflect our focus on women of reproductive age and ethnicity differences between the two populations.

Predictors of intentions to become pregnant in our study included age, ethnic background, geographic region and pregnancy history. Thus, women less than age 40, of African ethnicity, who lived in Toronto and who have given birth to no more than one child were most likely to intend to become pregnant. Younger age has consistently been a predictor of fertility intentions in all studies of HIV-positive women [5][33]. This is of clinical importance as many new HIV infections in Ontario are occurring in younger women [35]. In our study, women of African ethnicity more likely intended to become pregnant, possibly because of the cultural importance of parenting to this ethnic group [43][45]. While other studies have demonstrated the important differences in fertility rates between different African countries [46], our study did not find such differences in fertility intentions; however, this conclusion is limited by our sample size. A newly identified predictor of fertility intentions in our study was the current geographic region of residency. More women living in the large urban area of Toronto intended to become pregnant and the reason is unclear; this could possibly be related to differences in demographic characteristics or access to care and services. These will be important issues to flesh out for the implementation of healthcare programs and policies on fertility for HIV-positive individuals.

There are a number of important implications for our results on healthcare services that providers and policy makers should consider. In large urban cities with high rates of immigration from Africa, such as Toronto, a significant number of HIV-positive women will intend to become pregnant. The intention of these women to become pregnant was not influenced by their marital status or by their religion, employment status, education level, income or clinical HIV status. Healthcare providers need to consider preparing to support these women to plan for safer pregnancies in order to maximize the health of the women, and to protect the future children by reducing vertical transmission. Prior work in the area of HIV and fertility has focused on pregnancy and not on the pre-conception pregnancy planning stage. It is important for clinicians to recognize that many HIV-positive women desire and intend to become pregnant and to discuss pregnancy plans with their patients and partners prior to conception. Clinicians should be prepared to provide information on general pre-conception guidelines, methods to increase pregnancy success and decrease horizontal HIV transmission as well as general information on prenatal care and the appropriate use of ART during pregnancy. Guidelines and counselling tools would be useful to provide this accurate non-judgmental reproductive health information in the pre-conception period. Such guidelines and tools are being developed in Canada [47]. Our findings may also provide insight for other developed countries that have a significant number of individuals who seek refugee status and immigration from Africa including England, France, Germany, Spain, and Australia.

The present study has a number of limitations including the risk of some degree of selection bias due to the high literacy level required for the survey, which was limited to two languages, English and French; for many women those languages are not their mother tongue. Women who desire and intend to give birth in the future may be more likely to complete a questionnaire on this topic. The women were in general healthy, with high CD4 counts and with viral suppression on ART. The study was self-administered allowing women the privacy to complete questions on very private subjects. While this likely contributes to women answering more honestly, it also likely led to some unanswered questions.

There were also a number of strengths in our study including its large sample size. An attempt was made to match the study recruitment to the geographic distribution of HIV-positive women living in Ontario, allowing for generalizability to the Ontario female population and allowing for more meaningful contributions to provincial policy. A significant proportion of the enrolment was carried out using a community-based research model involving ASOs and women living with HIV in the study recruitment and coordination. This had multiple benefits including engaging participants who do not usually partake in research and increasing the capacity of the Ontario HIV community to conduct research.

The results of this study are the first step to developing a program on fertility and pregnancy planning for HIV-positive individuals in Ontario and Canada [47], [48]. Additional planned projects include a review of the services provided by Canadian fertility clinics for HIV-positive individuals, and an exploration of Canadian healthcare providers' attitudes towards fertility and pregnancy for HIV-positive individuals [48]. The development of national guidelines on pregnancy planning as well as provincial and national HIV Fertility Programs, including a knowledge translation plan, are underway [47]. The aim of all these endeavours is to support individuals living with HIV in Ontario and Canada with their fertility and pregnancy planning needs in an ethical and holistic manner. We hope that our research and ongoing projects assist HIV-positive individuals, policy makers and healthcare providers globally to develop their programs for safer, supportive pregnancy planning for HIV-positive individuals in their communities. Although much research has been started on a global level in the area of safer pregnancy planning, fertility, pregnancy, and parenting [49][56], significantly more is needed to support HIV-positive individuals to have healthy pregnancies and families. Finally, similar research should be carried out with HIV-positive male populations, which is being planned by our research team.

Supporting Information

Table S1

Demographic characteristics of study participants who desire birth but do not intend birth.

(0.11 MB DOC)

Table S2

Distribution of study participants who desired to have children by intention to have children in the future.

(0.11 MB DOC)

Table S3

Distribution of specific African countries where African participants were born.

(0.04 MB DOC)

Acknowledgments

We are indebted to the frontline AIDS Service Organization staff and research coordinators (Melissa Mandool, Laura Puri, Sarah Culgin, Sharon Fair, Michele Ellis, Nancy McFarland, Anja McNeil, Linda Moran, Heather McDougall, Adriana D'Aquila, Arshia Ali, Myrle Chambers, Paula Havill, Maureen Kitscha, Margaret Howell, Leanne De Souza, Sue Hranilovic, Jennifer Hoffman, Nancy Lamoureux, Jenna Ekborn and Elaine Lefaive) for their dedication to this project; to the members of the Project Advisory Committee for their expertise; and to the participants whose participation made this study possible.

The Ontario HIV Fertility Research Team:

Victoria Govan, Women's College Research Institute, Toronto, Ontario, Canada

Joanna Wong, Women's College Research Institute, Toronto, Ontario, Canada

Elena Ivanova, Women's College Research Institute, Toronto, Ontario, Canada

Khatundi-Irene Masinde, Voices of Positive Women, Toronto, Ontario, Canada

Precious Hove, Voices of Positive Women, Toronto, Ontario, Canada

Gail Linklater, AIDS Thunder Bay, Thunder Bay, Ontario, Canada

Khaled Salam, AIDS Committee of Ottawa, Ottawa, Ontario, Canada

Sylvie Daviau, ACCESS AIDS Network of Sudbury, Sudbury, Ontario, Canada

Lisungu Chieza, Women's Health in Women's Hands, Toronto, Ontario, Canada

Anna Laziri, Africans in Partnership Against AIDS, Toronto, Ontario, Canada

Fanta Ongoiba, Africans in Partnership Against AIDS, Toronto, Ontario, Canada

LaVerne Monette, Ontario Aboriginal HIV/AIDS Strategy, Toronto, Ontario, Canada

James F. Downey, Toronto East General Hospital, Toronto, Ontario, Canada

Anne C. Wagner, Ryerson University, Toronto, Ontario, Canada

Trent Newmeyer, Brock University, Brock University, St. Catharines, Ontario, Canada

Pancha Panzo, AIDS Committee of Toronto, Toronto, Ontario, Canada

Semenawork Tafes Teklemariam, Africans in Partnership Against AIDS, Toronto, Ontario, Canada

Janvere Bessette, Black Coalition for AIDS Prevention, Toronto, Ontario, Canada

John MacTavish, HIV/AIDS Regional Services, Kingston, Ontario, Canada

Jenna Christensen, 2-Spirited People of the 1st Nations, Toronto, Ontario, Canada

Corena Ryan, 2-Spirited People of the 1st Nations, Toronto, Ontario, Canada

Maureen Ringlein, The Teresa Group, Toronto, Ontario, Canada

Edith Reyes, AIDS Committee of Simcoe County, Barrie, Ontario, Canada

Lori Baxter, AIDS Committee of Windsor and AIDS Support Chatham-Kent, St. Catherines, Ontario, Canada

Craig Maguire, Access AIDS Network Sault Ste. Marie, Sault Ste. Marie, Ontario, Canada

Jag Parmar, Alliance for the South Asian AIDS Prevention, Toronto, Ontario, Canada

Tiff Idem, AIDS Committee of Durham Region, Oshawa, Ontario, Canada

Julie Henshaw, AIDS Committee of Cambridge, Kitchener, Waterloo and Area, Kitchener, Ontario, Canada

Jackie Barrett-Greene, AIDS Niagara, St. Catherines, Ontario, Canada

Alexandra Beasse, AIDS committee of London and AIDS Action Committee of Perth County, London, Ontario, Canada

Shannon Dougherty, AIDS committee of London, London, Ontario, Canada

Rebecca Skibinski, AIDS Network of Hamilton, Hamilton, Ontario, Canada

Bridget Marsden, AIDS Network of Hamilton, Hamilton, Ontario, Canada

Haram Vijayanathan, AIDS Committee of York Region, Newmarket, Ontario, Canada

Roy Male, Centre Francophone de Toronto, Toronto, Ontario, Canada

France Dorian, Centre Francophone de Toronto, Toronto, Ontario, Canada

Rai Reece, Prisoners with AIDS Support Action Network, Toronto, Ontario, Canada

Sandy Garnet, Huron County HIV/AIDS Network, Clinton, Ontario, Canada

Anne-Marie Zajdlik, Masai Center, Guelph, Ontario, Canada

Corinna Quan, HIV Care Program, Windsor Regional Hospital, Windsor, Ontario, Canada

Haoua Inoua, AIDS Committee of Ottawa, Ottawa, Ontario, Canada

Wendy Wobeser, Department of Medicine, Queen's University, Kingston, Ontario, Canada

Alan Li, Regent Park Community Health Center, Toronto, Ontario, Canada

Cheryl Wagner, Private Practice, Toronto, Ontario, Canada

Greg Gamble, AIDS Thunder Bay, Thunder Bay, Ontario, Canada

Suzanne Paddock, Toronto People With AIDS Foundation, Toronto, Ontario, Canada

Gina Ogilvie, Division of STI/HIV Prevention and Control, Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada

Gord Arbess, Department of Family & Community Medicine, St. Michael's Hospital Toronto, Ontario, Canada

Footnotes

Competing Interests: The authors have declared that no competing interests exist.

Funding: This work was supported by a grant from CANFAR, the Canadian Foundation for AIDS Research, and the Ontario Ministry of Health and Long-term Care, AIDS Bureau. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Additionally, a number of investigators are the recipients of salary support from the Canadian Institutes of Health Research (MRL, TAH) and the Ontario HIV Treatment Network (SLW, JBA, JR).

References

  • 1.Palella FJ, Jr, Baker RK, Moorman AC, Chmiel JS, Wood KC, et al. Mortality in the highly active antiretroviral therapy era: changing causes of death and disease in the HIV outpatient study. J Acquir Immune Defic Syndr. 2006;43(1):27–34. doi: 10.1097/01.qai.0000233310.90484.16. [DOI] [PubMed] [Google Scholar]
  • 2.Perinatal HIV Guidelines Working Group. Public Health Service Task Force Recommendations for Use of Antiretroviral Drugs in Pregnant HIV-1-Infected Women for Maternal Health and Interventions to Reduce Perinatal HIV-1 Transmission in the United States. National Institute of Health. 2009. Available: http://aidsinfo.nih.gov/contentfiles/PerinatalGL.pdf. Accessed 2009 April 30.
  • 3.UNAIDS/WHO. 07 AIDS Epidemic Update: December 2007. Joint United Nations Programme on HIV/AIDS and World Health Organization. 2008. Available: http://data.unaids.org/pub/EPISlides/2007/2007_epiupdate_en.pdf. Accessed 2009 April 30.
  • 4.Health Canada. November 2007 HIV/AIDS Epi Update. The Surveillance and Risk Assessment Division of the Centre for Infectious Disease Prevention and Control, Public Health Agency of Canada. 2007. Available: http://www.phac-aspc.gc.ca/aids-sida/publication/epi/pdf/epi2007_e.pdf. Accessed 2009 April 30.
  • 5.Nattabi B, Li J, Thompson SC, Orach CG, Earnest J. A Systematic Review of Factors Influencing Fertility Desires and Intentions Among People Living with HIV/AIDS: Implications for Policy and Service Delivery. AIDS Behav 2009. 2009;13(5):949–968. doi: 10.1007/s10461-009-9537-y. [DOI] [PubMed] [Google Scholar]
  • 6.Peltzer K, Chao LW, Dana P. Family Planning among HIV positive and negative Prevention of Mother to Child Transmission (PMTCT) clients in a resource poor setting in South Africa. AIDS Behav. 2009;13(5):973–979. doi: 10.1007/s10461-008-9365-5. [DOI] [PubMed] [Google Scholar]
  • 7.Kannipan S, Jeyapaul MJ, Kalyanwala S. Desire for motherhood: Exploring HIV-positive women's desires, intentions and decision-making in attaining motherhood. AIDS Care. 2008;20(6):625–630. doi: 10.1080/09540120701660361. [DOI] [PubMed] [Google Scholar]
  • 8.Oosterhoff P, Anh NT, Hanh NT, Yen PN, Wright P, et al. Holding the line: Family responses to pregnancy and the desire for a child in the context of HIV in Vietnam. Cult Health Sex. 2008;10(4):403–416. doi: 10.1080/13691050801915192. [DOI] [PubMed] [Google Scholar]
  • 9.Nobrega AA, Oliveira FAS, Galvao MTG, Mota RS, Barbosa RM, et al. Desire for a child among women living with HIV/AIDS in northeast Brazil. AIDS Patient Care STDs. 2007;21(4):261–267. doi: 10.1089/apc.2006.0116. [DOI] [PubMed] [Google Scholar]
  • 10.Myer L, Morroni C, Rebe K. Prevalence and determinants of fertility intentions of HIV-infected women and men receiving antiretroviral therapy in South Africa. AIDS Patient Care STDs. 2007;21(4):278–285. doi: 10.1089/apc.2006.0108. [DOI] [PubMed] [Google Scholar]
  • 11.Ogilvie GS, Palepu A, Remple VP, Maan E, Heath K, et al. Fertility Intentions of women of reproductive age living with HIV in British Columbia, Canada. AIDS. 2007;21:S83–S88. doi: 10.1097/01.aids.0000255090.51921.60. [DOI] [PubMed] [Google Scholar]
  • 12.Stanwood NL, Cohn SE, Heiser JR, Pugliese M. Contraception and fertility plans in a cohort of HIV-positive women in care. Contraception. 2007;75(4):294–298. doi: 10.1016/j.contraception.2006.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Smith DJ, Mbakwem BC. Life projects and therapeutic itineraries: Marriage, fertility and antiretroviral therapy in Nigeria. AIDS. 2007;21:S37–S41. doi: 10.1097/01.aids.0000298101.56614.af. [DOI] [PubMed] [Google Scholar]
  • 14.Cooper D, Harries J, Myer L. “Life is still going on”: Reproductive intentions among HIV-positive women and men in South Africa. Soc Sci Med. 2007;65(2):274–283. doi: 10.1016/j.socscimed.2007.03.019. [DOI] [PubMed] [Google Scholar]
  • 15.Craft SM, Delaney RO, Bautista DT. Pregnancy decisions among women with HIV. AIDS Behav. 2007;11(6):927–935. doi: 10.1007/s10461-007-9219-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Chama C, Morrupa J, Gashau W. Sex and reproduction among HIV-infected people in Maiduguri, Nigeria. J Obstet Gynaecol. 2007;27:812–815. doi: 10.1080/01443610701711706. [DOI] [PubMed] [Google Scholar]
  • 17.Nakayiwa S, Abang B, Packel L, Lifshay J, Purcell DW, et al. Desire for children and pregnancy risk behaviour among HIV-infected men and women in Uganda. AIDS Behav. 2006;10:S95–S104. doi: 10.1007/s10461-006-9126-2. [DOI] [PubMed] [Google Scholar]
  • 18.Oladapo OT, Daniel OJ, Odusoga OL, Ayoola-Sotubo O. Fertility desires and intentions of HIV-positive patients at a suburban specialist center. J Natl Med Assoc. 2005;97(12):1672–1681. [PMC free article] [PubMed] [Google Scholar]
  • 19.Bedimo-Rung AL, Clark RA, Dumestre J, Rice J, Kissinger P. Reproductive decision-making among HIV-infected women. J Natl Med Assoc. 2005;97(10):1403–1410. [PMC free article] [PubMed] [Google Scholar]
  • 20.Baek C, Rutenberg N. Washington DC: Horizons Research Update; 2005. Addressing the family planning needs of HIV-positive PMTCT clients: Baseline findings from an operations research study. [Google Scholar]
  • 21.Panozzo L, Battegay M, Friedl A, Vernazza PL. High risk behaviour and fertility desires among heterosexual HIV-positive patients with a serodiscordant partner - two challenging issues. Swiss Med Wkly. 2003;133(7–8):124–127. doi: 10.4414/smw.2003.10124. [DOI] [PubMed] [Google Scholar]
  • 22.Wesley Y. Desire for children among Black women with and without HIV infection. J Nurs Scholarsh. 2003;31(1):37–43. doi: 10.1111/j.1547-5069.2003.00037.x. [DOI] [PubMed] [Google Scholar]
  • 23.Feldman R, Maposhere C. Safer sex and reproductive choice: Findings from “Positive women: Voices and choices” in Zimbabwe. Reprod Health Matters. 2003;11(22):162–173. doi: 10.1016/s0968-8080(03)02284-5. [DOI] [PubMed] [Google Scholar]
  • 24.Sowell RL, Murdaugh CL, Addy CL, Moneyham L, Tavokoli A. Factors influencing intent to get pregnant in HIV-infected women living in the southern USA. AIDS Care. 2002;14(2):181–191. doi: 10.1080/09540120220104695. [DOI] [PubMed] [Google Scholar]
  • 25.Rithcet DL, Sowell RL, Pluto DM. Factors affecting reproductive decisions of African American women living with HIV. Women Health. 2002;36(1):81–96. doi: 10.1300/J013v36n01_06. [DOI] [PubMed] [Google Scholar]
  • 26.Chen JL, Phillips KA, Kanouse DE, Collins RL, Miu A. Fertility desires and intentions of HIV-positive men and women. Family Planning Perspectives. 2001;33(4):144–152. [PubMed] [Google Scholar]
  • 27.Siegel K, Schrimshaw EW. Reasons and justifications for considering pregnancy among women living with HIV/AIDS. Psychology of Women Quarterly. 2001;25(2):112–123. [Google Scholar]
  • 28.Nebie Y, Meda N, Leroy V, Mandelbrot L, Yaro S, et al. Sexual and reproductive life of women informed of their HIV seropositivity: A prospective cohort study in Burkina Faso. J Acquir Immune Defic Syndr. 2001;28(4):367–372. doi: 10.1097/00126334-200112010-00010. [DOI] [PubMed] [Google Scholar]
  • 29.Welsey Y, Smeltzer SC, Redeker NS, Walker S, Palumbo P, et al. Reproductive decision making in mothers with HIV-1. Health Care for Women International. 2000;21(4):291–304. doi: 10.1080/073993300245159. [DOI] [PubMed] [Google Scholar]
  • 30.Sowell RL, Philipes KD, Misener TR. HIV-infected women and motivation to add children to their families. J Fam Nurs. 1999;5(3):316–331. [Google Scholar]
  • 31.Aka-Dago-Akribi H, Du Loû A, Msellati P, Dossou R, Welffens-Ekra C. Issues surrounding reproductive choice for women lying with HIV in Abidjan Côte d'ivoire. Reprod Health Matters. 1999;7(13):20–29. [Google Scholar]
  • 32.Santos N, Ventura-Filipe E, Paiva V. HIV positive women, reproduction and sexuality in São Paulo, Brazil. Reprod Health Matters. 1998;6(12):31–40. [Google Scholar]
  • 33.Kline A, Strickler J, Kempf J. Factors associated with pregnancy and pregnancy resolution in HIV seropositive women. Soc Sci Med. 1995;40(11):1539–1547. doi: 10.1016/0277-9536(94)00280-7. [DOI] [PubMed] [Google Scholar]
  • 34.Mohammed S, Hart T, Salam K, Masinde I, Muchenje M, et al. Effective Recruitment Strategies for HIV+ Women in a Province-wide Cross-sectional Research Study. 2008. In Abstract Program of Ontario HIV Treatment Network Research Conference, Toronto, Ontario, Canada, November 2008 [Poster presentation]
  • 35.Remis RS, Swantee C, Schiedel L, Liu J. Report on HIV/AIDS in Ontario 2006. Ontario Ministry of Health and Long-Term Care. 2008 Available: http://www.phs.utoronto.ca/ohemu/doc/PHERO2006_report_final.pdf. Accessed 2009 April 30. [Google Scholar]
  • 36.Fowler FJ. California: Sage Publications; 2002. Survey Research Methods.179 [Google Scholar]
  • 37.Miller WB, Severy LJ, Pasta DJ. A framework for modelling fertility motivation in couples. Popul Stud (Camb) 2004;58(2):193–205. doi: 10.1080/0032472042000213712. [DOI] [PubMed] [Google Scholar]
  • 38.Morin P, Payette H, Moos MK, St-Cyr-Tribble D, Niyonsenga T, et al. Measuring the intensity of pregnancy planning effort. Paediatr Perinat Epidemiol. 2003;17(1):97–105. doi: 10.1046/j.1365-3016.2003.00461.x. [DOI] [PubMed] [Google Scholar]
  • 39.Hébert R, Bravo G, Voyer L. La traduction d'instruments de mesure pour la recherche gérontologique en langue française: critères métrologiques et inventaire. Revue Canadienne du Vieillissement. 1994;13:392–405. [Google Scholar]
  • 40.Streiner DL, Norman GR. New York: Oxford University Press; 2003. Health Measurement Scales: A Practical Guide to Their Development and Use.296 [Google Scholar]
  • 41.Liu J, Remis RS. Race/ethnicity among persons with HIV/AIDS in Ontario, 1981-2004. Ontario HIV Epidemiologic Monitoring Unit, Department of Public Health Sciences, University of Toronto. 34 p. June 2007. 2007. Available at http://www.phs.utoronto.ca/ohemu/doc/Ethnicity_report_rev.pdf. Accessed 2009 April 30.
  • 42.Richardson D. Women, AIDS and reproduction. Health Visitor. 1992;65(5):159–160. [PubMed] [Google Scholar]
  • 43.Doyal L, Anderson A. “My fear is to fall in love again.” How HIV-positive African women survive in London. Social Science & Medicine. 2005;60:1729–1738. doi: 10.1016/j.socscimed.2004.08.041. [DOI] [PubMed] [Google Scholar]
  • 44.Dyer SJ, Abrahams N, Hoffman M, van der Spuy ZM. “Men leave me as I cannot have children”: women's experiences with involuntary childlessness. Human Reproduction. 2002;17(6):1663–1868. doi: 10.1093/humrep/17.6.1663. [DOI] [PubMed] [Google Scholar]
  • 45.Dyer SJ, Abrahams N, Mokoena N E, van der Spuy ZM. “You are a man because you have children”: Experiences, reproductive health knowledge and treatment seeking behaviour among men suffering from couple infertility in South Africa. Human Reproduction. 2004;19(4):960–967. doi: 10.1093/humrep/deh195. [DOI] [PubMed] [Google Scholar]
  • 46.Cooper D, Moodley J, Zweigenthal G, Bekker LG, Shah I, et al. Fertility intentions and reproductive health care needs of people living with HIV in Cape Town, South Africa: implications for integrating reproductive health and HIV care services. AIDS and Behaviour. 2009;13(Suppl 1):38–46. doi: 10.1007/s10461-009-9550-1. [DOI] [PubMed] [Google Scholar]
  • 47.Loutfy M, Margolese S, Yudin M, Mohammed S, Wong J, et al. The National HIV Pregnancy Planning Guidelines Development Team. Development of Canadian Evidence-Based Guidelines on Safe Pregnancy Planning for HIV-positive Individuals. 2009. In Abstract Program of the 18th Canadian Conference on HIV/AIDS Research, Vancouver, British Columbia, Canada, April 2009 [Oral presentation]
  • 48.Yudin MH, Shapiro HM, Loutfy MR. Advanced reproductive technologies for HIV-positive individuals and couples in Canada. In Abstract Program of the American Society for Reproductive Medicine 64th Annual Scientific Meeting, San Francisco, California, USA, November 2008 [Poster presentation]. Fertil Steril. 2008;90(Suppl 1):S380. doi: 10.1016/j.fertnstert.2008.07.282. [DOI] [PubMed] [Google Scholar]
  • 49.Latin America: case raises issue of reproductive rights of HIV-positive women. HIV AIDS Policy Law Rev. 2009;14(1):49–50. [PubMed] [Google Scholar]
  • 50.Gogna ML, Pecheny MM, Ibarlucía I, Manzelli H, López SB. The reproductive needs and rights of people living with HIV in Argentina: health service users' and providers' perspectives. Soc Sci Med. 2009;69(6):813–20. doi: 10.1016/j.socscimed.2009.06.002. [DOI] [PubMed] [Google Scholar]
  • 51.Germain A, Liljestrand J. Women's groups and professional organizations in advocacy for sexual and reproductive health and rights. Int J Gynaecol Obstet. 2009;106(2):185–7. doi: 10.1016/j.ijgo.2009.03.038. [DOI] [PubMed] [Google Scholar]
  • 52.Titus MJ, Moodley J. Women living with HIV and AIDS: right to prevention, treatment, and health care. Int J Gynaecol Obstet. 2009;106(2):137–40. doi: 10.1016/j.ijgo.2009.03.026. [DOI] [PubMed] [Google Scholar]
  • 53.Caffrey P, Weiss E, Wood L, Connor E, Orza L, et al. Engaging parliamentarians as advocates for women's health: findings from Kenya and Namibia. Glob Public Health. 2009;4(3):271–83. doi: 10.1080/17441690902769651. [DOI] [PubMed] [Google Scholar]
  • 54.Mellors S. Putting the right back into sexual and reproductive rights. HIV AIDS Policy Law Rev. 2008;13(2–3):89–91. [PubMed] [Google Scholar]
  • 55.London L, Orner PJ, Myer L. “Even if you're positive, you still have rights because you are a person”: human rights and the reproductive choice of HIV-positive persons. Dev World Bioeth. 2008;8(1):11–22. doi: 10.1111/j.1471-8847.2007.00223.x. [DOI] [PubMed] [Google Scholar]
  • 56.Kulczycki A. Ethics, ideology, and reproductive health policy in the United States. Stud Fam Plann. 2007;38(4):333–51. doi: 10.1111/j.1728-4465.2007.00145.x. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1

Demographic characteristics of study participants who desire birth but do not intend birth.

(0.11 MB DOC)

Table S2

Distribution of study participants who desired to have children by intention to have children in the future.

(0.11 MB DOC)

Table S3

Distribution of specific African countries where African participants were born.

(0.04 MB DOC)


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