# Prevalence and Factors Associated with Contraceptive Use among HIV-Infected Women of Reproductive Age Attending Infectious Disease Clinic at Gulu Regional Referral Hospital, Northern Uganda

Authors: Felix Bongomin; Mercy Chelangat; Anthony Eriatu; Bruno Chan Onen; Priscilla Cheputyo; Stephen A. Godmercy; Eddymond Ekuk; Francis Idony; James Henry Obol
Journal: BioMed Research International
 (2018)

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## Abstract

Background. Reproductive planning by HIV-infected women is essential, as it helps to prevent transmission of HIV to their unborn babies. Integrating contraceptive services to routine HIV care significantly increases the use of modern contraceptive methods, thus reducing vertical transmission of HIV.Objectives. To determine the prevalence and factors associated with contraceptive use among HIV-infected women attending Infectious Disease Clinic (IDC) at Gulu Regional Referral Hospital (GRRH) in Northern Uganda.Methodology. A hospital-based cross-sectional study was performed. We used simple random sampling to recruit HIV-infected women receiving routine care from IDC, GRRH, into our study. Sample size was estimated using modified Kish-Leslie formula and semistructured questionnaire was used for data collection. Data was entered into EpiData version 3.1 and analysed using Stata v11.0. We used logistic regression model to assess the associations and any factor with p≤0.05 was considered statistically significant.Results. The prevalence of contraceptive use was found to be 36% (95% CI 31 – 40%). Factors which promoted contraceptive use were as follows: being married (aOR=2.68, 95% CI 1.54-4.65, p<0.001) and monthly income of $35 -250 (aOR= 2.38, 95% CI: 1.39- 4.09, p=0.002). Factors that hindered contraceptive use were having no child (nulliparity) (aOR= 0.16; 95% CI: 0.05-0.49; p=0.002) and age range of 31-49 years (aOR= 0.53; 95% CI: 0.33 - 0.84; p=0.007).Conclusion. In this study, just over a third of sexually active HIV-infected women reported use of modern contraceptives. This is a low level of usage and, therefore, clinicians and stakeholders should sensitise HIV-infected women on the importance of contraceptive use in the fight against HIV/AIDS and encourage them to use contraceptives to avoid vertical transmission of HIV through unintended pregnancy.


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## Body

## 1. Introduction

Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome (HIV/AIDS) remains one of the most important world’s public health challenges, particularly in low- and middle-income countries (LMICs). About 36.7 million people were estimated to be living with HIV worldwide at the end of 2015. Sub-Saharan Africa is the most severely affected region, with nearly 1 in every 25 adults (4.4%) living with HIV and accounting for nearly 70% of the people living with HIV (PLWHIV) worldwide [1, 2].HIV infection primarily affects women of reproductive age worldwide, in both developed and developing countries; in fact over 50% of PLWHIV globally are women [1]. With the advent of effective highly active antiretroviral therapy (HAART), HIV-infected women are now living longer and healthier with the same reproductive goals as HIV-uninfected women [3]. However, HIV infection predisposes women to various health risks that could be deleterious to both the mother and the newborn [4]. For HIV-infected women, contraception and reproductive planning have become essential [5], as studies have shown that most of the pregnancies reported by HIV-infected women are unintended [6, 7]. The high level of unintended pregnancies increases the potential risk of mother-to-child transmission (MTCT) of HIV infection as well as the rate of induced abortions among these women [6, 7].One of the strategies by the World Health Organization (WHO) to improve maternal health is the use of contraceptives to encourage child spacing and therefore reduce the risks of pregnancy-related complications [8]. Contraceptive use, most especially among HIV-infected women, would be of great importance in the control of their reproductive needs [8]. Over 90% of incident cases of paediatric HIV infections are attributed to vertical transmission [1]. The most effective way to eliminate mother-to-child transmission of HIV infection (eMTCT) is to ensure that the mother does not get infected with HIV; however, for those already infected, prevention of unintended pregnancies through use of highly effective modern contraceptive methods is a core eMTCT strategy [8]. Recent studies have shown that modern contraceptive methods are highly effective in reducing incidences of unintended pregnancies among HIV-infected women, including those concurrently using HAART [9]. Integrating contraceptive services as part of routine HIV care significantly increases use of modern contraceptive methods [10]. However, worldwide, a substantial unmet need for well tolerated and effective contraceptives remains, particularly in areas with a high HIV burden [3].Uganda has the highest HIV prevalence among the East African countries estimated at 7.1%; this translates to nearly 1,500,000 PLWHIV [1, 11]. Moreover, 83,000 new HIV infections were reported in 2015, with 3,500 of these cases being diagnosed in children aged 0 to 14 years [11]. Nationally, about 120,000 pregnant HIV-infected women who need antiretroviral therapy (ART) for eMTCT are currently not able to access this life-saving medicine and thus are at an increased risk for vertical transmission [11]. The current limited access to effective contraceptive methods, eMTCT, and ART programs targeting HIV-infected pregnant women among other factors puts heavy burden on these women’s reproductive health. This has resulted in unsafe abortions, increases paediatric HIV incidence through vertical transmission, and affects household incomes [12].There is paucity of information related to use of contraceptive methods among HIV-infected women of reproductive age in the Northern region of Uganda. The present study aimed at determining the prevalence of contraceptive use and associated factors among HIV-infected women of reproductive age attending Infectious Disease Clinic (IDC) at Gulu Regional Referral Hospital (GRRH), which is a University Teaching Hospital in Northern Uganda.


## 2. Methods

### 2.1. Study Design and Setting

This was a hospital-based cross-sectional study recruiting consecutive HIV-infected women of reproductive age attending routine HIV care at the IDC, GRRH. The IDC was initially started in 2004 as a small clinic for voluntary counselling and testing for HIV (VCT). IDC currently offers a wide range of comprehensive HIV/AIDs care services including provision of HAART, eMTCT services, management of opportunistic infections, general medical consultations, and family planning services. In 2014, the clinic had over 4,000 registered clients of whom about 1,000 were females of reproductive age (15-49 years).


### 2.2. Study Population

We included nonpregnant HIV-infected women within the age range of 18 to 49 years who were registered and receiving HIV care and treatment at the IDC of GRRH for at least a month.


### 2.3. Sample Size Determination and Sampling Procedure

We estimated our sample size using the modified Kish-Leslie formula (1965) [13].Sample size, N = (Z2PQ)/d2, whereN is sample size;Z is 1.96 (standard normal deviation at 95% confidence interval);P is current contraceptive prevalence (we used 50% since no previous study was done in the clinic; 50% thus gives a modest number of participants);Q is 1-P, Q=1-0.5; therefore, Q = 0.5;d is maximum error we allowed between the estimated prevalence of the problem in the population; thus, d= 5% (95% confidence interval);N= (Z2PQ)/d2; N= ([1.96]2 x [0.5x0.5])/[0.05]2; →N= 384 respondents.In addition, we assumed 10% lack of response/nonconsenters (0.1∗384 = 38) leading to an estimated sample size of [384+38] = 422 respondents.We used simple random sampling method to enroll participants into the study. We extracted data on our research participants using a pretested data extraction form. We excluded women who were severely sick and those who had had hysterectomy. We then used simple random sampling technique without replacement to generate the names of women to be interviewed. The women were given numbers and the corresponding numbers were written in pieces of paper, folded, and placed in a nontransparent polyethylene bag, shuffled, and were then picked one at a time. The number picked was matched with the corresponding number to get the name of the participant to be interviewed.


### 2.4. Data Collection and Data Management

We used semistructured questionnaire to collect the required information. The questionnaire was translated toLeb Acholi (local language) and then back translated to English to ensure that the meanings of the questions were not lost during translation. FB and colleagues collected the data in their 4th year of medical school after being trained by their supervisor (JHO). During the training, we pretested the questionnaire in two health facilities providing similar ART services to minimise errors during data collection. Close monitoring of data collection process was done to ensure that the questionnaires were filled correctly. Data was double-entered into EpiData version 3.1, backed up, edited, and cleaned by the researchers and supervisor to ensure data quality. Data was collected between January and May 2014.


#### 2.4.1. Variables

Independent Variables.Sociodemographic characteristics and reproductive factors.Dependent Variable.Contraceptive use, defined as self-reported use of any of the approved modern method of contraception within the last 3 months (prior to the interview).


### 2.5. Data Analysis

Continuous variables were summarised using means and standard deviation (SD); meanwhile categorical data were summarised in terms of frequencies and percentages. Univariate analysis was performed for both dependent and independent variables. Chi-square test was performed to determine association between the independent variables and contraceptive use. Multivariate logistic regression analysis was used to assess for association between use of contraceptives and the independent predictors and to estimate crude and adjusted odds ratios and 95% confidence interval (CI). STATA version 11 (Stata Corp, College Station, Texas 77845 USA) for analysis and a P≤0.05 was considered statistically significant.


### 2.6. Ethical Considerations

The Institutional Review Committee (IRC) of Gulu University approved this study. Approval reference number is GU/IRC/04/03/13. Permission was also granted by the GRRH administration and the local administration of the IDC to conduct the study. Informed consent was obtained from all the study participants and their confidentiality were maintained. Being an undergraduate thesis research project, ethical clearance by the Uganda National Council of Science and technology was an exempt.


## 2.1. Study Design and Setting

This was a hospital-based cross-sectional study recruiting consecutive HIV-infected women of reproductive age attending routine HIV care at the IDC, GRRH. The IDC was initially started in 2004 as a small clinic for voluntary counselling and testing for HIV (VCT). IDC currently offers a wide range of comprehensive HIV/AIDs care services including provision of HAART, eMTCT services, management of opportunistic infections, general medical consultations, and family planning services. In 2014, the clinic had over 4,000 registered clients of whom about 1,000 were females of reproductive age (15-49 years).


## 2.2. Study Population

We included nonpregnant HIV-infected women within the age range of 18 to 49 years who were registered and receiving HIV care and treatment at the IDC of GRRH for at least a month.


## 2.3. Sample Size Determination and Sampling Procedure

We estimated our sample size using the modified Kish-Leslie formula (1965) [13].Sample size, N = (Z2PQ)/d2, whereN is sample size;Z is 1.96 (standard normal deviation at 95% confidence interval);P is current contraceptive prevalence (we used 50% since no previous study was done in the clinic; 50% thus gives a modest number of participants);Q is 1-P, Q=1-0.5; therefore, Q = 0.5;d is maximum error we allowed between the estimated prevalence of the problem in the population; thus, d= 5% (95% confidence interval);N= (Z2PQ)/d2; N= ([1.96]2 x [0.5x0.5])/[0.05]2; →N= 384 respondents.In addition, we assumed 10% lack of response/nonconsenters (0.1∗384 = 38) leading to an estimated sample size of [384+38] = 422 respondents.We used simple random sampling method to enroll participants into the study. We extracted data on our research participants using a pretested data extraction form. We excluded women who were severely sick and those who had had hysterectomy. We then used simple random sampling technique without replacement to generate the names of women to be interviewed. The women were given numbers and the corresponding numbers were written in pieces of paper, folded, and placed in a nontransparent polyethylene bag, shuffled, and were then picked one at a time. The number picked was matched with the corresponding number to get the name of the participant to be interviewed.


## 2.4. Data Collection and Data Management

We used semistructured questionnaire to collect the required information. The questionnaire was translated toLeb Acholi (local language) and then back translated to English to ensure that the meanings of the questions were not lost during translation. FB and colleagues collected the data in their 4th year of medical school after being trained by their supervisor (JHO). During the training, we pretested the questionnaire in two health facilities providing similar ART services to minimise errors during data collection. Close monitoring of data collection process was done to ensure that the questionnaires were filled correctly. Data was double-entered into EpiData version 3.1, backed up, edited, and cleaned by the researchers and supervisor to ensure data quality. Data was collected between January and May 2014.


### 2.4.1. Variables

Independent Variables.Sociodemographic characteristics and reproductive factors.Dependent Variable.Contraceptive use, defined as self-reported use of any of the approved modern method of contraception within the last 3 months (prior to the interview).


## 2.4.1. Variables

Independent Variables.Sociodemographic characteristics and reproductive factors.Dependent Variable.Contraceptive use, defined as self-reported use of any of the approved modern method of contraception within the last 3 months (prior to the interview).


## 2.5. Data Analysis

Continuous variables were summarised using means and standard deviation (SD); meanwhile categorical data were summarised in terms of frequencies and percentages. Univariate analysis was performed for both dependent and independent variables. Chi-square test was performed to determine association between the independent variables and contraceptive use. Multivariate logistic regression analysis was used to assess for association between use of contraceptives and the independent predictors and to estimate crude and adjusted odds ratios and 95% confidence interval (CI). STATA version 11 (Stata Corp, College Station, Texas 77845 USA) for analysis and a P≤0.05 was considered statistically significant.


## 2.6. Ethical Considerations

The Institutional Review Committee (IRC) of Gulu University approved this study. Approval reference number is GU/IRC/04/03/13. Permission was also granted by the GRRH administration and the local administration of the IDC to conduct the study. Informed consent was obtained from all the study participants and their confidentiality were maintained. Being an undergraduate thesis research project, ethical clearance by the Uganda National Council of Science and technology was an exempt.


## 3. Results

### 3.1. Sociodemographic Characteristics

A total of 434 women were interviewed, with ages ranging between 18 and 49 years with a mean age of 30 years and SD of 7.4 years. The mean age was used to group respondents into two categories with 254 (59%) respondents being in the age range of 18 to 30 years (Table1).Table 1
Sociodemographic characteristics of the respondents N=434.
Variable Frequency (n) Percent ( % ) Age range (18 – 49yers). Mean 30 years; SD 7.4years  Age groups, n=434  18-30 254 59  31-49 180 41  Education, n=434  No formal education 052 12  Had formal education 382 88  Level of education, n=382  Primary 258 68  Secondary 117 31  Diploma 005 01  Graduate 002 01  Marital status, n=434  Single 042 10  Married 276 63  Separated 068 16  Widowed 048 11  Type of Marriage (if married), n=276  Monogamous 209 76  Polygamous 067 24  Order of Marriage (if polygamous), n=67  First wife 027 40  Second wife 038 57  Third wife 001 1  Fourth wife 001 1  Religion, n=434  Catholic 306 71  Protestants 110 25  Muslim 016 04  Seventh Day Adventist 002 00  Occupation, n=434  Peasant Farmers 235 54  Business 175 40  Civil Servants 024 06  Monthly income, n=434  $0-34 258 59  $35-250 176 41


### 3.2. Contraceptive Use

Overall, 155 (36%) respondents were currently using at least one of the modern contraceptive methods (95% CI: 31–40, p<0.001). Of the 155 respondents, 76 (49%) were on implantable contraceptives, 49 (32%) on injectable methods, 24 (15%) on combined oral contraceptive (COC) pills, and 6 (4%) were using condoms (Table2). None of the participants was on concurrent hormonal and barrier methods of contraception (dual contraception).Table 2
Contraceptive utilization, socioeconomic, and healthcare factors.
Variables Number Percent Prevalence of contraceptive use 36 % , 95 % CI 31 – 40 %  Self-reported current use of contraceptive, n=434  Yes 155 36  No 279 64  Family planning methods being used, n=155  Implants 076 49  Pills 024 15  Depo-Provera 049 32  Condoms 006 04  Source of contraceptive, n=155  Government health centre 135 87  Family planning clinic (IDC) 010 06  Private clinics 003 02  Outreach 001 01  Others 006 04  Numbers of month of uninterrupted use of contraceptive method currently used, n=155  1 - 16 months 102 66  17 - 84 months 053 34  Were you told of the side effects of the contraceptive method?, n=155  Yes 146 94  No 009 06  Where you advised on what to do in case of side effect?, n=155  Yes 144 93  No 011 07  Were you educated on available alternative contraceptive methods?, n=155  Yes 144 93  No 011 07  Cost of contraceptive, n=155  Free 144 93  Up to $2 011 07  Did you discuss with your partner on the method to use?, n=155  Yes 124 80  No 031 20  Do you have access to contraceptives whenever you need them?, n=155  Yes 151 97  No 004 03  Receiving counselling on family planning at IDC, n=155  No 012 03  Yes 360 83  Sometimes 062 14


### 3.3. Reproductive Goals

Out of the 434 respondents, 380 (88%) had children of their own. Of the 297 respondents with current sexual partners, 277 (93%) had had children with them. Of the 434 respondents, 263 (61%) had the intention to have children in future, with 161 (61%) of these women wanting at least two children or more. However, 31 (12%) respondents reported no intentions of using contraceptives after attaining the desired number of children. Of the 263 respondents intending to have children in the future, 167 (60%) did not discuss with their partners issues related to childbirth. Of the 434 respondents, 299 (69%) reported that HIV infection could not stop them from having children (Table3).Table 3
Reproductive goals of the respondents.
Variable Frequency (n) Percent ( % ) Do you have any child of your own?, n=434  Yes 380 88  No 054 12  Number of children, n=380  1 - 3 Children 285 75  4 - 7 children 095 25  Do you have a child or children with current sexual partner?, n=297  Yes 277 93  No 020 07  Number of children with current sexual partner, n=277  1 - 3 Children 216 78  4 - 7 children 061 22  Intending to have children in the future, n=434  Yes 263 61  No 171 39  Number of children intending to have in the future, n=263  1 Child 102 39  2 Children 122 46  3 Children 027 10  4 Children 011 04  5 Children 001 00  After attaining required number of children, do you intent to use family planning to prevent pregnancies?, n=263  Yes 232 88  No 031 12  Discussing with partner issue of child birth, n=277  No 167 60  Always 097 35  Sometime 013 05  Can your HIV status stop you from getting a baby?, n=434  Yes 135 31  No 299 69


### 3.4. Factors Associated with Contraceptive Use

Table4 summarises results of the multivariate analysis. Statistically significant independent predictors of contraceptive utilization among our respondents were as follows: being married (adjusted odds ratio (aOR)=2.68, 95% CI 1.54-4.65, p<0.001), earning monthly income between $35 and 250 (aOR= 2.38, 95% CI: 1.39- 4.09, p=0.002), respondents having no child of their own (aOR= 0.16; 95% CI: 0.05-0.49; p=0.002), and those aged between 31 and 49 years (aOR= 0.53; 95% CI: 0.33 - 0.84; p=0.007).Table 4
Crude and adjusted odds ratios for factors associated with contraceptive utilization among HIV infected women of reproductive attending Infectious Disease Clinic, Gulu Regional Referral Hospital.
Variables Freq (n) Contraceptive use Bivariate analysis Multivariate analysis Yes ( % ) No ( % ) cOR 95 % CI P-value aOR 95 % CI P-value  Age groups  18 - 30 254 105 (68) 149 (53) 1   1  31 - 49 180 50 (32) 130 (47%) 0.55 0.36 - 0.82 0.004 0.53 0.33 - 0.84 0.007  Marital status  Single/separated/widowed 158 27 (17) 131 (47) 1   1  Married 276 128 (83) 148 (58) 4.2 2.60 - 6.76 <0.001 2.68 1.54 - 4.65 <0.001  Educational level  No formal education 52 14 (9) 38 (14) 1   1  Primary 258 85 (55) 173 (62) 1.33 0.69 - 2.59 0.397 0.91 0.43 - 1.90 0.797  Secondary 117 55 (35) 62 (22) 2.41 1.18 - 4.91 0.016 1.08 0.47 - 2.44 0.862  Post Secondary 7 1 (1) 6 (2) 0.45 0.05 - 4.10 0.481 0.12 0.01 - 2.90 0.192  Religion  Catholic 306 100 (64) 206 (74) 1   1  Protestants 110 45 (29) 65 (23) 1.43 0.91 - 2.23 0.121 1.36 0.80 - 2.32 0.259  Moslems 16 9 (6) 7 (3) 2.65 0.96 - 7.32 0.06 2.54 0.76 - 8.42 0.128  Others 2 1 (1) 1 (0) 2.06 0.13 - 33.27 0.611 0.64 0.06 - 7.56 0.726  Occupation  Peasant Farmer 149 37 (24) 112 (40) 1   1  Civil servant 24 12 (8) 12 (4) 3.03 1.25 - 7.31 0.014 2.52 0.67 - 9.49 0.173  Business 175 84 (54) 91 (33) 2.79 1.74 - 4.50 <0.001 1.57 0.88 - 2.82 0.126  Unemployed 78 18 (12) 60 (22) 0.91 0.48 - 1.73 0.769 1.38 0.65 - 2.94 0.402  Others 8 4 (2) 4 (1) 3.03 0.72 - 12.71 0.13 3.46 0.69 - 17.38 0.132  Have any child of your own  Yes 380 151 (97) 229 (82)    1  No 54 4 (3) 50 (18) 0.12 0.04 - 0.34 <0.001 0.16 0.05 - 0.49 0.002  Monthly income  $0-34 258 64 (41) 194 (70)    1  $35-250 176 91 (59) 85 (30) 3.25 2.16 - 4.88 <0.001 2.38 1.39 - 4.09 0.002 cOR: crude odds ratio; aOR: adjusted odds ratio.


## 3.1. Sociodemographic Characteristics

A total of 434 women were interviewed, with ages ranging between 18 and 49 years with a mean age of 30 years and SD of 7.4 years. The mean age was used to group respondents into two categories with 254 (59%) respondents being in the age range of 18 to 30 years (Table1).Table 1
Sociodemographic characteristics of the respondents N=434.
Variable Frequency (n) Percent ( % ) Age range (18 – 49yers). Mean 30 years; SD 7.4years  Age groups, n=434  18-30 254 59  31-49 180 41  Education, n=434  No formal education 052 12  Had formal education 382 88  Level of education, n=382  Primary 258 68  Secondary 117 31  Diploma 005 01  Graduate 002 01  Marital status, n=434  Single 042 10  Married 276 63  Separated 068 16  Widowed 048 11  Type of Marriage (if married), n=276  Monogamous 209 76  Polygamous 067 24  Order of Marriage (if polygamous), n=67  First wife 027 40  Second wife 038 57  Third wife 001 1  Fourth wife 001 1  Religion, n=434  Catholic 306 71  Protestants 110 25  Muslim 016 04  Seventh Day Adventist 002 00  Occupation, n=434  Peasant Farmers 235 54  Business 175 40  Civil Servants 024 06  Monthly income, n=434  $0-34 258 59  $35-250 176 41


## 3.2. Contraceptive Use

Overall, 155 (36%) respondents were currently using at least one of the modern contraceptive methods (95% CI: 31–40, p<0.001). Of the 155 respondents, 76 (49%) were on implantable contraceptives, 49 (32%) on injectable methods, 24 (15%) on combined oral contraceptive (COC) pills, and 6 (4%) were using condoms (Table2). None of the participants was on concurrent hormonal and barrier methods of contraception (dual contraception).Table 2
Contraceptive utilization, socioeconomic, and healthcare factors.
Variables Number Percent Prevalence of contraceptive use 36 % , 95 % CI 31 – 40 %  Self-reported current use of contraceptive, n=434  Yes 155 36  No 279 64  Family planning methods being used, n=155  Implants 076 49  Pills 024 15  Depo-Provera 049 32  Condoms 006 04  Source of contraceptive, n=155  Government health centre 135 87  Family planning clinic (IDC) 010 06  Private clinics 003 02  Outreach 001 01  Others 006 04  Numbers of month of uninterrupted use of contraceptive method currently used, n=155  1 - 16 months 102 66  17 - 84 months 053 34  Were you told of the side effects of the contraceptive method?, n=155  Yes 146 94  No 009 06  Where you advised on what to do in case of side effect?, n=155  Yes 144 93  No 011 07  Were you educated on available alternative contraceptive methods?, n=155  Yes 144 93  No 011 07  Cost of contraceptive, n=155  Free 144 93  Up to $2 011 07  Did you discuss with your partner on the method to use?, n=155  Yes 124 80  No 031 20  Do you have access to contraceptives whenever you need them?, n=155  Yes 151 97  No 004 03  Receiving counselling on family planning at IDC, n=155  No 012 03  Yes 360 83  Sometimes 062 14


## 3.3. Reproductive Goals

Out of the 434 respondents, 380 (88%) had children of their own. Of the 297 respondents with current sexual partners, 277 (93%) had had children with them. Of the 434 respondents, 263 (61%) had the intention to have children in future, with 161 (61%) of these women wanting at least two children or more. However, 31 (12%) respondents reported no intentions of using contraceptives after attaining the desired number of children. Of the 263 respondents intending to have children in the future, 167 (60%) did not discuss with their partners issues related to childbirth. Of the 434 respondents, 299 (69%) reported that HIV infection could not stop them from having children (Table3).Table 3
Reproductive goals of the respondents.
Variable Frequency (n) Percent ( % ) Do you have any child of your own?, n=434  Yes 380 88  No 054 12  Number of children, n=380  1 - 3 Children 285 75  4 - 7 children 095 25  Do you have a child or children with current sexual partner?, n=297  Yes 277 93  No 020 07  Number of children with current sexual partner, n=277  1 - 3 Children 216 78  4 - 7 children 061 22  Intending to have children in the future, n=434  Yes 263 61  No 171 39  Number of children intending to have in the future, n=263  1 Child 102 39  2 Children 122 46  3 Children 027 10  4 Children 011 04  5 Children 001 00  After attaining required number of children, do you intent to use family planning to prevent pregnancies?, n=263  Yes 232 88  No 031 12  Discussing with partner issue of child birth, n=277  No 167 60  Always 097 35  Sometime 013 05  Can your HIV status stop you from getting a baby?, n=434  Yes 135 31  No 299 69


## 3.4. Factors Associated with Contraceptive Use

Table4 summarises results of the multivariate analysis. Statistically significant independent predictors of contraceptive utilization among our respondents were as follows: being married (adjusted odds ratio (aOR)=2.68, 95% CI 1.54-4.65, p<0.001), earning monthly income between $35 and 250 (aOR= 2.38, 95% CI: 1.39- 4.09, p=0.002), respondents having no child of their own (aOR= 0.16; 95% CI: 0.05-0.49; p=0.002), and those aged between 31 and 49 years (aOR= 0.53; 95% CI: 0.33 - 0.84; p=0.007).Table 4
Crude and adjusted odds ratios for factors associated with contraceptive utilization among HIV infected women of reproductive attending Infectious Disease Clinic, Gulu Regional Referral Hospital.
Variables Freq (n) Contraceptive use Bivariate analysis Multivariate analysis Yes ( % ) No ( % ) cOR 95 % CI P-value aOR 95 % CI P-value  Age groups  18 - 30 254 105 (68) 149 (53) 1   1  31 - 49 180 50 (32) 130 (47%) 0.55 0.36 - 0.82 0.004 0.53 0.33 - 0.84 0.007  Marital status  Single/separated/widowed 158 27 (17) 131 (47) 1   1  Married 276 128 (83) 148 (58) 4.2 2.60 - 6.76 <0.001 2.68 1.54 - 4.65 <0.001  Educational level  No formal education 52 14 (9) 38 (14) 1   1  Primary 258 85 (55) 173 (62) 1.33 0.69 - 2.59 0.397 0.91 0.43 - 1.90 0.797  Secondary 117 55 (35) 62 (22) 2.41 1.18 - 4.91 0.016 1.08 0.47 - 2.44 0.862  Post Secondary 7 1 (1) 6 (2) 0.45 0.05 - 4.10 0.481 0.12 0.01 - 2.90 0.192  Religion  Catholic 306 100 (64) 206 (74) 1   1  Protestants 110 45 (29) 65 (23) 1.43 0.91 - 2.23 0.121 1.36 0.80 - 2.32 0.259  Moslems 16 9 (6) 7 (3) 2.65 0.96 - 7.32 0.06 2.54 0.76 - 8.42 0.128  Others 2 1 (1) 1 (0) 2.06 0.13 - 33.27 0.611 0.64 0.06 - 7.56 0.726  Occupation  Peasant Farmer 149 37 (24) 112 (40) 1   1  Civil servant 24 12 (8) 12 (4) 3.03 1.25 - 7.31 0.014 2.52 0.67 - 9.49 0.173  Business 175 84 (54) 91 (33) 2.79 1.74 - 4.50 <0.001 1.57 0.88 - 2.82 0.126  Unemployed 78 18 (12) 60 (22) 0.91 0.48 - 1.73 0.769 1.38 0.65 - 2.94 0.402  Others 8 4 (2) 4 (1) 3.03 0.72 - 12.71 0.13 3.46 0.69 - 17.38 0.132  Have any child of your own  Yes 380 151 (97) 229 (82)    1  No 54 4 (3) 50 (18) 0.12 0.04 - 0.34 <0.001 0.16 0.05 - 0.49 0.002  Monthly income  $0-34 258 64 (41) 194 (70)    1  $35-250 176 91 (59) 85 (30) 3.25 2.16 - 4.88 <0.001 2.38 1.39 - 4.09 0.002 cOR: crude odds ratio; aOR: adjusted odds ratio.


## 4. Discussion

In the present study, the prevalence of contraceptive use was 36%. Majority of the women were using highly effective hormonal contraceptive methods. The prevalence of contraceptive use among HIV-infected women in our study was comparable to that of the general women population in Uganda (36% versus 35%) [14]. The contraceptive prevalence in our study is consistent with earlier studies reporting contraceptive use of 34% among HIV-infected women in Central Uganda [15] and a prevalence of 45% in Southwestern Uganda [16].Interesting, more than half of the respondents had intention of bearing children in the future. Our data further suggests that women with higher monthly income ($35 or more) and married women are likely to use contraceptives. This could be because these women can afford the costs of contraceptives and are able to plan and discuss their reproductive goals with their partners. On the other hand, women aged 30 years or more and women who do not have children were less likely to use contraceptives. The driving force towards nonuse of contraceptives could be due to the desire for children in the face of an advancing age. The reproductive health implication of these findings suggests a targeted intervention such as health education and patient-centred counselling to create awareness on the benefits of contraception in the settings of HIV infection. Use of effective contraceptive methods reduces the incidence of unplanned and unintended pregnancies. Myer et al. found that the desire for future fertility was associated with the use of reversible contraceptives [17]. Increased use of effective contraception among HIV-infected women may potentially contribute to reduction of maternal mortality and morbidity in a country like Uganda where access to safe and legal abortions is restricted [18]. A recent study from Rakai district in Southern part of Uganda, a region with the highest HIV prevalence, showed that the prevalence of self-reported current hormonal contraceptive use by HIV-infected women had tripled over a 10-year period and was not different from that of HIV-uninfected women [19] and this is consistent with our findings.Few studies from Uganda have scrutinized the factors that determine contraceptive use among HIV-infected women. Factors associated with increased contraceptive use included higher education, higher socioeconomic status, higher parity, age between 20 and 39 years, sexual frequency, desire to have fewer children, being currently married or in a relationship, and discussion of family planning with a partner and receipt of HIV results. On the other hand, symptoms suggestive of opportunistic infections, having no sexual partner in the past year, condom use, breastfeeding, and older age were reported to be negatively associated with contraceptive use [16, 19–21]. Almost all these factors are shared among HIV-infected and HIV-uninfected women.Contrary to other studies from across Uganda and East Africa at large where reported use of condoms were as high as 80% [22], our study revealed that only 4% of the respondents were currently using condoms and none was on dual contraception. Use of condoms has been shown to be associated with low use of hormonal contraceptives [19]. Use of dual contraceptive methods is recommended for HIV-infected individuals irrespective of their partner’s HIV sero-status to prevent HIV (re)infection, unintended and unplanned pregnancies, and other sexually transmitted infections [6]. A recent study from Uganda also reported a very low (6%) dual contraceptive use among HIV-infected women in rural Uganda where 44% of the respondents were using condoms as the main method of contraception [16].The main limitation of this study lies in its cross-sectional design and the short duration the data was collected hence, we were unable to assess for adherence, failure rates, and adverse events related to the use of these methods among our participants. We heavily relied on self-reported use of family planning methods. However, the data from this study benefits from its large sample size and importantly explored sociodemographic and reproductive factors as core determinants of contraceptive utilization among HIV-infected women. Despite few other studies in central and southwestern Uganda, this is the first study to report the use of contraceptive methods among HIV-infected women of reproductive age in the Northern region of Uganda.


## 5. Conclusion and Recommendation

The prevalence of contraceptive use is low at just over one-third of the participants. Majority of the participants intend to have more children and this desire could be driving them not to use contraceptives. Also, women who were 31+ years were less likely to use contraceptives. Therefore, clinicians and stakeholders should sensitise HIV-infected women about the benefits of using contraceptives and encourage the use.



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*Source: 9680514-2018-06-10.xml*