Introduction
Unintended pregnancy remains an enduring and worldwide concern, carrying significant implications for the health and overall welfare of mothers, infants, and families including Prenatal depression, postpartum depression, maternal experience of interpersonal violence, preterm birth, and infant low birth weight [1, 2]. An unintended pregnancy refers to a situation where a pregnancy occurs either when there is no desire for a child (unwanted) or when it takes place at a time that was not anticipated (mistimed) [3]. Unintended pregnancies exert a detrimental influence on the personal lives of women, their families, and society at large. On a global scale, 74 million women experienced unintended pregnancies in low and middle-income countries, leading to approximately 25 million unsafe abortions and 47 thousand maternal deaths annually. The significant prevalence of unintended pregnancies contributes to adverse outcomes such as preterm births and other unfavorable pregnancy results and the problem peaks in eastern Africa [4].
A global comparative study has assessed the differences in the rates of unintended pregnancies across various countries worldwide. For instance, the estimated unintended pregnancy rates range from 11 per 1000 women of reproductive age in Southern Europe to 145 per 1000 in Uganda [5]. On a global scale, HIV-related factors played a role in 19,000–56,000 maternal deaths in 2011, accounting for 6%–20% of all maternal deaths. Pregnant women infected with HIV face a two to ten-fold increased risk of mortality during both pregnancy and the postpartum period compared to those who are not infected [6]. The prevalence of unplanned pregnancy in South Africa was reported around 71% among women living with HIV and women who reported unplanned pregnancies were more likely to book their appointments late and have lower CD4 counts [7]. In pregnant women living with HIV and on antiretroviral therapy, preterm birth and low birth weight have been reported [8].
Eastern and Southern Africa is a region where 20.6 million people were living with HIV by 2021. Within this region, 670,000 people acquired the virus, and 280,000 individuals succumbed to HIV-related conditions by the conclusion of 2021. Additionally, there were 160,000 new infections reported among children aged 0–14 years old [9]. A systematic review and meta-analysis (SRMA) were conducted in 2019 on the rate of vertical transmission of HIV in East Africa and revealed the pooled prevalence of 7.68% [10] (ranges from 1.58–32.1%), which is far from the desired target of WHO, which is below 5%.
The impact of unintended pregnancy accounts for the majority of new HIV infections globally. For instance, according to the UNICEFs’ reports, about 130,000 new HIV infections worldwide among children under five occurred in 2022 and most of the cases are due to vertical transmission from the mother to the child [11]. A lower rate of viral load suppression at the time of delivery was linked to unintended pregnancies, illustrated by the fact that 95.3% of women with planned pregnancies achieved viral suppression, whereas only 76.6% of women with unplanned pregnancies experienced the same outcome [12]. This discrepancy is a critical factor influencing the likelihood of vertical transmission of the virus from the mother to the child. Women living with HIV who were on anti-retroviral therapy were followed after facing unintended pregnancy and higher rate of elevated viral load after birth was observed when compared with women who had planned pregnancy [13].
WHO recommends a four-pronged approach to a comprehensive PMTCT (prevention of mother-to-child transmission) strategy and prevention of unintended pregnancy is the second prong mentioned by providing effective and appropriate contraceptives [14]. Despite reducing MTCT of HIV since the introduction of the ‘Global Plan towards the Elimination of New HIV Infections among Children and Keeping their Mothers Alive’ in 2011, the progress is not fast enough to reach the 2025 targets set by UNAIDS [11]. There exists a significant variation in the occurrence of unintended pregnancies among women who are HIV-positive, ranging from 19.3% [15] to 74% [16] in various regions of East Africa. Therefore, this SRMA aimed to identify the pooled prevalence of unintended pregnancy among women living with HIV and its predictors in East Africa, 2024.
Objective
To estimate the pooled prevalence of unintended pregnancy among women living with HIV and its predictors in East Africa, 2024.
Justification of study
Avoiding unintended pregnancy among women living with HIV is essential in preventing plenty of maternal morbidity and mortality during antenatal and postnatal periods. Reducing the rate of vertical transmission of HIV from the infected mother to her offspring should be primarily achieved by avoiding unplanned and mistimed pregnancies from women living with HIV. Specially, in the areas like eastern Africa, where the knowledge and practices towards the prevention of new HIV infection is low, the problem worsens. There exists a significant variation in the occurrence of unintended pregnancies among women who are HIV-positive, ranging from 19.3% to 74% in various regions of East Africa. Thus, the pooled prevalence of unintended pregnancies and its predictors among women living with HIV should be determined.
Methods
Study design and setting
A SRMA were conducted on unintended pregnancy among women living with HIV and its predictors in East Africa. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were followed (S1 File). PRISMA is a protocol consisting of checklists that guide the conduct and reporting of systematic reviews and meta-analyses, which increase the transparency and accuracy of reviews in medicine and other fields [17]. The population of Eastern Africa constitutes 6.03% of the global population, making it the leading sub-region in Africa in terms of population. As of January 22, 2024, the estimated population of Eastern Africa is 491,899,592, according to the latest United Nations data [18]. After a thorough searching of literatures has been made, four studies has been selected from Ethiopia [19–22], three from Kenya [15, 23, 24], two from Uganda [25, 26] and one study has been selected from Rwanda [27].
Search strategies
A SRMA was conducted on unintended pregnancy among women living HIV and its predictors in the eastern Africa. Both published and unpublished literatures on the prevalence and/or factors associated with unintended pregnancy among women living with HIV in eastern Africa were searched via two authors (ESL, and MA). Literatures written in English were eligible in the review. Appropriate and comprehensive searches of PubMed, MEDLINE, EMBASE, Google Scholar, HINARI, and Scopus have been performed. Furthermore, relevant articles found in the gray literature available on local shelves and institutional repositories were systematically reviewed. Medical Subject Headings (MeSH) and key terms had been developed using different Boolean operators, ‘AND’ and ‘OR’. The following search terms were used: (Prevalence) OR (proportion) OR (Magnitude) AND (unintended pregnancy) AND (women living with HIV) AND (predictors) OR (determinants) OR (associated factors) AND (East Africa)
The electronic literature search was last performed on December 28/2023. Mendeley reference manager software was used to collect and manage the literatures as well as to avoid possible duplications.
Eligibility criteria
Inclusion.
This SRMA included articles conducted in all countries of East Africa, reporting the prevalence/proportion/ of unintended pregnancy among women living with HIV and its predictors. Both published articles and grey literatures published in English were included.
Exclusion.
Primary studies lacking the outcome of interest (unintended pregnancy among women living with HIV and its predictors), were excluded from the SRMA. In contrast, studies with poor quality according to the criteria of reviewing articles were excluded.
Outcome measurement
This SRMA has comprised of two main outcomes. The primary outcome of this SRMA was the proportion of unintended pregnancy among women living with HIV, a pregnancy that occurred when no more children were desired or one that occurred earlier than it was desired or occurred when the woman did not desire to become pregnant [3]. The secondary outcome was the predictors of unintended pregnancy among women living with HIV.
Data extraction
All the datasets were exported to the Mendeley reference manager and transferred to a Microsoft Excel spreadsheet to remove duplicate data in the review. Two authors (ESL and MA) independently extracted all important data using a standard data extraction format developed according to the Joanna Briggs Institute (JBI) Reviewers’ manual 2014 [28]. Any disagreement between reviewers was resolved by a third author (GY). A consensus was reached through critical discussion and evaluation of the articles by all independent reviewers. The name of the author, sample size, publication year, study country, study design, prevalence/proportion of unintended pregnancy, and adjusted odds ratio with its 95% confidence interval (CI) of the factors associated with unintended pregnancy. Articles that fulfilled the predetermined criteria were used as data sources for the final analysis.
Quality assessment
Once the database results were exported to the Mendeley reference manager and duplicate results were removed, we used the Newcastle–Ottawa Quality Assessment Scale (NOS) adapted for observational studies to assess the quality of each study included in the SRMA (S2 File). The quality assessment scale evaluates the literatures in three categories.
1. Selection (4 points)
2. Comparability (2points) and
3. Outcome (3 points)
Two Authors (ESL and MA) assessed the quality of each study (methodological quality, sample selection, sample size, comparability, outcome, and statistical analysis). In case of disagreement between the two authors, a third author (GY) was involved and discussed and resolved the disagreement.
Data processing and analysis
The extracted Microsoft Excel spreadsheet data were imported into the STATA software version 17 (STATA Corporation, Texas, USA) for analysis. A random-effects model was used to estimate the pooled prevalence of unintended pregnancy among women living with HIV in eastern Africa. The Cochrane Q-test and I2 statistics were computed to assess the heterogeneity among the studies included in the SRMA. Accordingly, if the result of I 2 is 0–40% it is mild heterogeneity, 40 to 70% would be moderate heterogeneity, and 70 to 100% would be considerable heterogeneity [29]. Funnel plots and Egger’s test were used to assess publication bias. A p-value>0.05 indicated that there was no publication bias. A forest plot format was used to present the pooled prevalence of unintended pregnancy among women living with HIV in eastern Africa with 95% CI. Subgroup analyses were performed according to the country where the primary studies conducted. To identify determinant factors, we used the pooled AOR in forest plot format with its respective 95%CI. A robust statistical method, random effect model, and lastly sensitivity analysis was conducted to assess different assumptions about if the missing data affects the result.
Result
A total of 2140 articles were found by using our search strategies: Google scholar, pub-med, Hinari, EMBASE, Scopus and Medline. After 1820 articles were removed for the reason of duplication, 320 articles left. Then by reviewing their titles and abstracts, 210 and 62 articles were removed respectively. Finally 58 full text papers were accessed and evaluated for the predefined inclusion criteria. Thus 48 more articles were excluded for the afore-mentioned reasons. Eventually, 10 articles were found eligible for inclusion in the final systematic review and meta-analysis (Fig 1).
[Figure omitted. See PDF.]
Among the studies included in this SRMA, four studies were in Ethiopia, three in Kenya, two from Uganda and one Rwanda. Seven studies are comprised of cross sectional, two cohort and one case control study designs. A total of 4319 participants with the smallest 110 to the largest 849 participants included and found the prevalence which ranges from 19.3 [15] to 74% [16] of unintended pregnancy among women living with HIV in East Africa. On the other hand, the quality of each study was assessed by using NOS, the score of all included studies lies between 7 to 9 which indicates good quality (Table 1).
[Figure omitted. See PDF.]
Magnitude of unintended pregnancy among women living with HIV
The pooled prevalence of unintended pregnancy among women living with HIV in East Africa was 40.98% (95% CI: 28.75,53.20), with the Cochrane heterogeneity index (I2 = 98.59%), P = 0.00, showing the presence of significant heterogeneity among the primary studies included. Therefore we have used the random effect model to resolve the issue of heterogeneity among included studies. Moreover, we have considered subgroup analysis as a potential way of addressing heterogeneity. The finding was presented using a forest plot (Fig 2).
[Figure omitted. See PDF.]
Publication bias
The presence or absence of publication bias was verified by using statistical analysis (funnel plot and egger’s test (P = 0.87 (P >0.05)) result showed no small study effect (Fig 3). Nevertheless, the egger’s test used to show the publication bias might be affected by the significant heterogeneity between the included studies and the small number of studies.
[Figure omitted. See PDF.]
Sub group analysis
Subgroup analysis was done based on the studied country. The finding of this subgroup analysis by studied country showed that the pooled prevalence of unintended pregnancy in Ethiopia was lower (28.38%; (95% CI: 15.54, 41.21%), with the Cochrane heterogeneity index (I2 = 96.66%, P = 0.00). However, the pooled prevalence of unintended pregnancy among women living with HIV in Rwanda was higher (62.70%; (95% CI: 58.71, 66.69%), I2 = . P = 0.00) (Fig 4).
[Figure omitted. See PDF.]
Sensitivity analysis
The result of a random effect model revealed that, the pooled prevalence of unintended pregnancy among women living with HIV was not influenced by a single study (Fig 5).
[Figure omitted. See PDF.]
Determinants of unintended pregnancy among women living with HIV
In this SRMA, variables used by the primary studies were included to identify the predictors of unintended pregnancy among women living with HIV in Eastern Africa. Therefore, women with higher parity, unemployment and having no formal education were found to be the predictors of unintended pregnancy among women living with HIV in Eastern Africa, 2024. Women who have high parity were 3.16 (95% CI: 2.34, 4.36) more likely of conceiving the unintended pregnancy when compared to their counterparts. The employment status of women also determines the unintended pregnancy. The likelihood of unintended pregnancy was seen 2.75 (95% CI: 1.82, 4.16) times higher among women who are unemployed than employed women. On the other hand, women living with HIV and who have no formal education were around two times (2.04, 95% CI: 1.23, 3.38) more likely of having unintended pregnancy than those who have secondary and above education level (Table 2).
[Figure omitted. See PDF.]
Discussion
The prevalence of unintended pregnancy among women living with HIV in Eastern Africa was 40.98% with a 95% CI (27.85–53.20). This finding is in line with previous studies conducted in South Africa [30], Nigeria [31] and Botswana [32]. The possible explanation for this higher rate of unintended pregnancy among HIV positive women is the high discontinuation and/or irregular use of contraceptives [33], unmet need of family planning services [34, 35], underutilization of emergency contraceptives and abortion services for one or another reasons. But, our study finding was higher than a study conducted in America [36], Mumbi, India [37] and South Asian countries [38]. This is because of the difference in study area, in which American women have access of optimal family planning services and abortion is legal. Furthermore, the other reason of this discrepancy is due to the fact that the study conducted in south Asian countries was conducted on the general population, not specifically done on HIV positive women. On the contrary, our study finding revealed that the prevalence of unintended pregnancy among women living with HIV much lower when compared with a study conducted in Chicago [12] and Canada [39]. This might because they have employed retrospective cohort study designs and took women only at tertiary health facilities unlike our study.
This SRMA has also identified the independent risk factors determining unintended pregnancy among women living with HIV. Unemployed women, high order parity and having no formal education were identified as the independent risk factors associated with unintended pregnancy in Eastern Africa. Women who were unemployed were 2.75 (95% CI: 1.82, 4.16) times more likely of having unintended pregnancy. This study finding is consistent with previous studies conducted in Botswana [40]. This finding could potentially be explained by the observation that, in many cases, employed women tend to have higher educational qualifications. Women with better education often have increased opportunities to access information through various media channels, contributing to their awareness and utilization of reproductive health services and contraceptive methods. Women who are employed and actively involved in paid work have a higher likelihood of accessing reproductive health services, including the adoption and updating of modern contraceptive methods. This ultimately aids in preventing unintended pregnancies [41]. Women without employment face financial insecurity, preventing them from accessing essential sexual and reproductive healthcare services, including contraceptive [42].
The likelihood of conceiving the unintended pregnancy among women with no formal education was 2.04 times (95% CI: 1.23, 3.38) higher than their counterparts. This is consistent with studies conducted in Botswana [40], Sub-Saharan Africa [43] and Philadelphia [44]. This is due to having primary and secondary education holds the capability to increase awareness among women regarding the consequences of unintended pregnancies and the potential contraceptive options that educated women may be utilizing.
High order parity is also among the determining factors of unintended pregnancy. Women with high order parity were 3.16 times (95% CI: 2.34, 4.36) more likely to have unintended pregnancy than their counterparts. This study finding is consistent with studies conducted in cape town, South Africa [45] and Senegal [46]. This can be justified as multiparous women experiences pregnancies of various intentions, including both intended and unintended, leading to an overall increase in their parity over time. on the contrary, a study conducted in Canada [47] revealed that women who have never given birth were more likely of conceiving unintended pregnancy than their counterparts. This discrepancy may be due to the difference in education level and socio-economic characteristics of the women living in Canada and Eastern Africa. Thus, multi-parous women living in Canada are more likely to have good experience and knowledge about the contraceptive utilization to avoid unintended pregnancy than women with no history of pregnancy.
The findings of this SRMA suggest a substantial need for concerted efforts to reduce unintended pregnancies among women living with HIV. It underscores the importance of continuous and rigorous initiatives to enhance women’s empowerment, focusing on improving both employment and educational status. Additionally, all stakeholders are urged to diligently implement the WHO recommendations, particularly emphasizing a four-pronged approach to a comprehensive PMTCT strategy and the prevention of unintended pregnancies. Furthermore, it is anticipated that researchers will explore potential facilitators and challenges related to unintended pregnancies among women living with HIV using a qualitative approach. This methodology is expected to yield valuable insights that can contribute to the development of effective strategies for preventing unintended pregnancies in this specific population.
Despite the efforts made to mitigate potential limitations in this SRMA, it is crucial to interpret the results in consideration of certain constraints. Firstly, our inclusion was restricted to only ten studies identified through our search strategy. Additionally, the absence of similar reviews compelled us to rely on comparisons and discussions with primary studies. Furthermore, it’s important to note that the power of Egger’s test for publication bias may be diminished when the number of included primary studies is low, especially in the presence of significant heterogeneity among them.
Supporting information
S1 File. PRISMA checklist for unintended pregnancy among women living with HIV.
https://doi.org/10.1371/journal.pone.0310212.s001
(DOCX)
S2 File. NOS for unintended pregnancy of included studies.
https://doi.org/10.1371/journal.pone.0310212.s002
(DOCX)
S3 File.
https://doi.org/10.1371/journal.pone.0310212.s003
(ZIP)
S1 Data.
https://doi.org/10.1371/journal.pone.0310212.s004
(XLSX)
Acknowledgments
We would like to thank all authors of the primary studies which are included in this systematic review and meta-analysis.
References
1. 1. Gipson JD, Koenig MA, Hindin MJ. The effects of unintended pregnancy on infant, child, and parental health: a review of the literature. Stud Fam Plann. 2008;39(1):18–38. pmid:18540521
* View Article
* PubMed/NCBI
* Google Scholar
2. 2. Nelson HD, Darney BG, Ahrens K, Burgess A, Jungbauer RM, Cantor A, et al. Associations of unintended pregnancy with maternal and infant health outcomes: a systematic review and meta-analysis. Jama. 2022;328(17):1714–29. pmid:36318133
* View Article
* PubMed/NCBI
* Google Scholar
3. 3. Santelli J, Rochat R, Hatfield-Timajchy K, Gilbert BC, Curtis K, Cabral R, et al. The measurement and meaning of unintended pregnancy. Perspect Sex Reprod Health. 2003;94–101. pmid:12729139
* View Article
* PubMed/NCBI
* Google Scholar
4. 4. Bearak J, Popinchalk A, Alkema L, Sedgh G. Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model. Lancet Glob Heal [Internet]. 2018;6(4):e380–9. Available from: pmid:29519649
* View Article
* PubMed/NCBI
* Google Scholar
5. 5. Bearak JM, Popinchalk A, Beavin C, Ganatra B, Moller AB, Tunçalp Ö, et al. Country-specific estimates of unintended pregnancy and abortion incidence: a global comparative analysis of levels in 2015–2019. BMJ Glob Heal. 2022;7(3):1–10. pmid:35332057
* View Article
* PubMed/NCBI
* Google Scholar
6. 6. Lawn JE, Blencowe H, Waiswa P, Amouzou A, Mathers C, Hogan D, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016;387(10018):587–603. pmid:26794078
* View Article
* PubMed/NCBI
* Google Scholar
7. 7. Adeniyi OV, Ajayi AI, Moyaki MG, Goon D Ter, Avramovic G, Lambert J. High rate of unplanned pregnancy in the context of integrated family planning and HIV care services in South Africa. BMC Health Serv Res. 2018;18:1–8.
* View Article
* Google Scholar
8. 8. Mishra RK, Chakravarty R, Siddique N, Pandey KR. Pregnancy outcomes following exposure to efavirenz based antiretroviral therapy in indian women. Indian J Pharmacol. 2020;52(6):467–71. pmid:33666186
* View Article
* PubMed/NCBI
* Google Scholar
9. 9. UNAIDS. Global HIV statistics. 2022.
10. 10. Belachew A, Tewabe T, Malede GA. Prevalence of vertical HIV infection and its risk factors among HIV exposed infants in East Africa: a systematic review and meta-analysis. Trop Med Health. 2020;48:1–11.
* View Article
* Google Scholar
11. 11. UNICEF. Elimination of mother-to-child transmission [Internet]. 2023. Available from: https://data.unicef.org/topic/hivaids/emtct/
12. 12. Dude AM, Miller ES, Garcia PM, Yee LM. Unintended pregnancy and viral suppression in pregnant women living with HIV. Am J Obstet Gynecol MFM. 2021;3(2):100300. pmid:33359637
* View Article
* PubMed/NCBI
* Google Scholar
13. 13. Brittain K, Phillips TK, Zerbe A, Abrams EJ, Myer L. Long-term effects of unintended pregnancy on antiretroviral therapy outcomes among South African women living with HIV. AIDS. 2019 Apr;33(5):885–93. pmid:30649049
* View Article
* PubMed/NCBI
* Google Scholar
14. 14. WHO 2016. Consolidated guidelines. Website. 2016.
15. 15. Otieno FO, Nyang’au IN, Ondeng’e KO, Otieno G, Gust DA. Unintended pregnancies in rural western Kenya: The role of HIV status. Women’s Reprod Heal. 2015;2(2):124–38.
* View Article
* Google Scholar
16. 16. Obare F, Kwaak A Van Der, Birungi H. Factors associated with unintended pregnancy, poor birth outcomes and post-partum contraceptive use among HIV-positive female adolescents in Kenya. 2012;1–8.
* View Article
* Google Scholar
17. 17. Moher D, Liberati A, Tetzlaff J, Altman DG, Group* P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.
* View Article
* Google Scholar
18. 18. Nations U. he demographic situation in Eastern Africa [Internet]. 2024. Available from: https://www.worldometers.info/world-population/eastern-africa-population/
* View Article
* Google Scholar
19. 19. Kefelegn S, Aklilu A, Yetwale F, Amare E, Gashaw A. UNINTENDED PREGNANCY AND ASSOCIATED FACTORS AMONG PREGNANT WOMEN LIVING WITH HIV BAHIRDAR TOWN PUBLIC HEALTH FACILITIES, NORTHWEST ETHIOPIA, 2022. 2022.
* View Article
* Google Scholar
20. 20. Teklu T, Belina S, Chemir F, Tessema M, Yismaw W. Unintended pregnancy and associated factors among hiv positive women in ilu aba bora zone, South Western Ethiopia: a facility-based cross-sectional study. HIV/AIDS-Research Palliat Care. 2021;197–203.
* View Article
* Google Scholar
21. 21. Demissie DB, Mmusi-Phetoe R. Risky sexual practice, unintended pregnancy, contraceptive utilisation, and its determinants among HIV-infected women in Special Zone of Oromia regional state, Ethiopia. 2021.
* View Article
* Google Scholar
22. 22. Lelamo Y, Adem A, Dache A, Dona A. Determinants of repeated pregnancy among HIV-positive women on anti retroviral treatments at the public health facilities, in Gedeo zone, South Ethiopia: Unmatched case-control study. Clin Epidemiol Glob Heal. 2022;13:100970.
* View Article
* Google Scholar
23. 23. Obare F, van der Kwaak A, Birungi H. Factors associated with unintended pregnancy, poor birth outcomes and post-partum contraceptive use among HIV-positive female adolescents in Kenya. BMC Womens Health. 2012;12(1):1–8. pmid:23039966
* View Article
* PubMed/NCBI
* Google Scholar
24. 24. Beguy D, Mumah J, Gottschalk L. Unintended pregnancies among young women living in urban slums: evidence from a prospective study in Nairobi city, Kenya. PLoS One. 2014;9(7):e101034. pmid:25080352
* View Article
* PubMed/NCBI
* Google Scholar
25. 25. Napyo A, Nankabirwa V, Mukunya D, Tumuhamye J, Ndeezi G, Arach AAO, et al. Prevalence and predictors for unintended pregnancy among HIV-infected pregnant women in Lira, Northern Uganda: a cross-sectional study. Sci Rep. 2020;10(1):16319. pmid:33004969
* View Article
* PubMed/NCBI
* Google Scholar
26. 26. Jarolimova J, Kabakyenga J, Bennett K, Muyindike W, Kembabazi A, Martin JN, et al. Contraceptive use following unintended pregnancy among Ugandan women living with HIV. PLoS One. 2018;13(10):1–13. pmid:30359430
* View Article
* PubMed/NCBI
* Google Scholar
27. 27. Kikuchi K, Wakasugi N, Poudel KC, Sakisaka K, Jimba M. High rate of unintended pregnancies after knowing of HIV infection among HIV positive women under antiretroviral treatment in Kigali, Rwanda. Biosci Trends. 2011;5(6):255–63. pmid:22281539
* View Article
* PubMed/NCBI
* Google Scholar
28. 28. Santos WM dos, Secoli SR, Püschel VA de A. The Joanna Briggs Institute approach for systematic reviews. Rev Lat Am Enfermagem. 2018;26:e3074. pmid:30462787
* View Article
* PubMed/NCBI
* Google Scholar
29. 29. Thorlund K, Imberger G, Johnston BC, Walsh M, Awad T, Thabane L, et al. Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses. PLoS One. 2012;7(7):e39471. pmid:22848355
* View Article
* PubMed/NCBI
* Google Scholar
30. 30. Woldesenbet S, Kufa T, Lombard C, Manda S, Morof D, Cheyip M, et al. The prevalence of unintended pregnancy and its association with HIV status among pregnant women in South Africa, a national antenatal survey, 2019. Sci Rep. 2021;11(1):23740. pmid:34887462
* View Article
* PubMed/NCBI
* Google Scholar
31. 31. Ezugwu EC, Iyoke CA, Nkwo PO, Ezegwui HU, Akabueze JC, Agu PU. Unintended pregnancy among HIV-positive pregnant women in Enugu, southeast Nigeria. Int J Gynecol Obstet. 2016;132(1):60–3. pmid:26433467
* View Article
* PubMed/NCBI
* Google Scholar
32. 32. Mayondi GK, Wirth K, Morroni C, Moyo S, Ajibola G, Diseko M, et al. Unintended pregnancy, contraceptive use, and childbearing desires among HIV-infected and HIV-uninfected women in Botswana: across-sectional study. BMC Public Health. 2015;16(1):1–10.
* View Article
* Google Scholar
33. 33. Bengtson A, Kwok C, Salata RA, Byamugisha J, Chipato T, Rwambuya S, et al. Hormonal contraceptive use and discontinuation among HIV-infected women in Uganda and Zimbabwe. J Acquir Immune Defic Syndr. 2013;63(4):506. pmid:23572011
* View Article
* PubMed/NCBI
* Google Scholar
34. 34. C Sarnquist C, Rahangdale L, Maldonado Y. Reproductive health and family planning needs among HIV-infected women in Sub-Saharan Africa. Curr HIV Res. 2013;11(2):160–8. pmid:23432491
* View Article
* PubMed/NCBI
* Google Scholar
35. 35. Kefale B, Adane B, Damtie Y, Arefaynie M, Yalew M, Andargie A, et al. Unmet need for family planning among reproductive-age women living with HIV in Ethiopia: A systematic review and meta-analysis. PLoS One. 2021;16(8):e0255566. pmid:34339464
* View Article
* PubMed/NCBI
* Google Scholar
36. 36. Sutton MY, Patel R, Frazier EL. Unplanned pregnancies among HIV-infected women in care—United States. JAIDS J Acquir Immune Defic Syndr. 2014;65(3):350–8. pmid:24189153
* View Article
* PubMed/NCBI
* Google Scholar
37. 37. Joshi B, Velhal G, Chauhan S, Kulkarni R, Begum S, Nandanwar YS, et al. Contraceptive Use and Unintended Pregnancies Among HIV-Infected Women in Mumbai. Indian J community Med Off Publ Indian Assoc Prev Soc Med. 2015;40(3):168–73. pmid:26170540
* View Article
* PubMed/NCBI
* Google Scholar
38. 38. Sarder A, Islam SMS, Maniruzzaman , Talukder A, Ahammed B. Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries. PLoS One. 2021;16(2):e0245923. pmid:33524018
* View Article
* PubMed/NCBI
* Google Scholar
39. 39. Salters K, Loutfy M, De Pokomandy A, Money D, Pick N, Wang L, et al. Pregnancy incidence and intention after HIV diagnosis among women living with HIV in Canada. PLoS One. 2017;12(7):e0180524. pmid:28727731
* View Article
* PubMed/NCBI
* Google Scholar
40. 40. Mogobe KD, Tshiamo W. Characteristics of women with unplanned pregnancy: results from Botswana AIDS Impact Survey IV. Afr J Midwifery Womens Health. 2017;11(3):124–9.
* View Article
* Google Scholar
41. 41. Singh SK, Sharma B, Vishwakarma D, Yadav G, Srivastava S, Maharana B. Women’s empowerment and use of contraception in India: Macro and micro perspectives emerging from NFHS-4 (2015–16). Sex Reprod Healthc Off J Swedish Assoc Midwives. 2019 Mar;19:15–23. pmid:30928130
* View Article
* PubMed/NCBI
* Google Scholar
42. 42. Narasimhan M, Orza L, Welbourn A, Bewley S, Crone T, Vazquez M. Sexual and reproductive health and human rights of women living with HIV: a global community survey. Bull World Health Organ. 2016;94(4):243. pmid:27034517
* View Article
* PubMed/NCBI
* Google Scholar
43. 43. Ameyaw EK, Budu E, Sambah F, Baatiema L, Appiah F, Seidu A-A, et al. Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys. PLoS One. 2019;14(8):e0220970. pmid:31398240
* View Article
* PubMed/NCBI
* Google Scholar
44. 44. Polansky M, Singh H, Gao Y, Aaron E. Pregnancy planning, timing, happiness and depressive symptoms among low-income women living with and without HIV. J Reprod Infant Psychol. 2018 Jul;36(3):222–34. pmid:29562754
* View Article
* PubMed/NCBI
* Google Scholar
45. 45. Iyun V, Brittain K, Phillips TK, Le Roux S, McIntyre JA, Zerbe A, et al. Prevalence and determinants of unplanned pregnancy in HIV-positive and HIV-negative pregnant women in Cape Town, South Africa: a cross-sectional study. BMJ Open. 2018;8(4):e019979. pmid:29615449
* View Article
* PubMed/NCBI
* Google Scholar
46. 46. Faye CM, Speizer IS, Fotso JC, Corroon M, Koumtingue D. Unintended pregnancy: magnitude and correlates in six urban sites in Senegal. Reprod Health. 2013 Nov;10(1):59. pmid:24245750
* View Article
* PubMed/NCBI
* Google Scholar
47. 47. Loutfy M, Raboud J, Wong J, Yudin M, Diong C, Blitz S, et al. High prevalence of unintended pregnancies in HIV-positive women of reproductive age in Ontario, Canada: a retrospective study. HIV Med. 2012 Feb;13(2):107–17. pmid:22103297
* View Article
* PubMed/NCBI
* Google Scholar
Citation: Lake ES, Ayele M, Alamrew A, Tilahun BD, Erega BB, Zemariam AB, et al. (2024) Unintended pregnancy among women living with HIV and its predictors in East Africa, 2024. A systematic review and meta-analysis. PLoS ONE 19(12): e0310212. https://doi.org/10.1371/journal.pone.0310212
About the Authors:
Eyob Shitie Lake
Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
E-mail: [email protected]
Affiliation: Department of Midwifery, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
ORICD: https://orcid.org/0000-0001-7437-6076
Mulat Ayele
Roles: Data curation, Software, Visualization, Writing – review & editing
Affiliation: Department of Midwifery, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
Abebaw Alamrew
Roles: Data curation, Software, Visualization, Writing – review & editing
Affiliation: Department of Midwifery, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
Befikad Derese Tilahun
Roles: Data curation, Software, Visualization, Writing – review & editing
Affiliation: Department of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
Besfat Berihun Erega
Roles: Data curation, Supervision, Visualization, Writing – review & editing
Affiliation: Department of Midwifery, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia
Alemu Birara Zemariam
Roles: Data curation, Visualization, Writing – review & editing
Affiliation: Department of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
ORICD: https://orcid.org/0000-0001-8195-3011
Getinet Kumie
Roles: Data curation, Software, Writing – original draft, Writing – review & editing
Affiliation: Department of Medical Laboratory, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
Gizachew Yilak
Roles: Conceptualization, Methodology, Writing – original draft, Writing – review & editing
Affiliation: Department of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia
[/RAW_REF_TEXT]
[/RAW_REF_TEXT]
[/RAW_REF_TEXT]
1. Gipson JD, Koenig MA, Hindin MJ. The effects of unintended pregnancy on infant, child, and parental health: a review of the literature. Stud Fam Plann. 2008;39(1):18–38. pmid:18540521
2. Nelson HD, Darney BG, Ahrens K, Burgess A, Jungbauer RM, Cantor A, et al. Associations of unintended pregnancy with maternal and infant health outcomes: a systematic review and meta-analysis. Jama. 2022;328(17):1714–29. pmid:36318133
3. Santelli J, Rochat R, Hatfield-Timajchy K, Gilbert BC, Curtis K, Cabral R, et al. The measurement and meaning of unintended pregnancy. Perspect Sex Reprod Health. 2003;94–101. pmid:12729139
4. Bearak J, Popinchalk A, Alkema L, Sedgh G. Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model. Lancet Glob Heal [Internet]. 2018;6(4):e380–9. Available from: pmid:29519649
5. Bearak JM, Popinchalk A, Beavin C, Ganatra B, Moller AB, Tunçalp Ö, et al. Country-specific estimates of unintended pregnancy and abortion incidence: a global comparative analysis of levels in 2015–2019. BMJ Glob Heal. 2022;7(3):1–10. pmid:35332057
6. Lawn JE, Blencowe H, Waiswa P, Amouzou A, Mathers C, Hogan D, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016;387(10018):587–603. pmid:26794078
7. Adeniyi OV, Ajayi AI, Moyaki MG, Goon D Ter, Avramovic G, Lambert J. High rate of unplanned pregnancy in the context of integrated family planning and HIV care services in South Africa. BMC Health Serv Res. 2018;18:1–8.
8. Mishra RK, Chakravarty R, Siddique N, Pandey KR. Pregnancy outcomes following exposure to efavirenz based antiretroviral therapy in indian women. Indian J Pharmacol. 2020;52(6):467–71. pmid:33666186
9. UNAIDS. Global HIV statistics. 2022.
10. Belachew A, Tewabe T, Malede GA. Prevalence of vertical HIV infection and its risk factors among HIV exposed infants in East Africa: a systematic review and meta-analysis. Trop Med Health. 2020;48:1–11.
11. UNICEF. Elimination of mother-to-child transmission [Internet]. 2023. Available from: https://data.unicef.org/topic/hivaids/emtct/
12. Dude AM, Miller ES, Garcia PM, Yee LM. Unintended pregnancy and viral suppression in pregnant women living with HIV. Am J Obstet Gynecol MFM. 2021;3(2):100300. pmid:33359637
13. Brittain K, Phillips TK, Zerbe A, Abrams EJ, Myer L. Long-term effects of unintended pregnancy on antiretroviral therapy outcomes among South African women living with HIV. AIDS. 2019 Apr;33(5):885–93. pmid:30649049
14. WHO 2016. Consolidated guidelines. Website. 2016.
15. Otieno FO, Nyang’au IN, Ondeng’e KO, Otieno G, Gust DA. Unintended pregnancies in rural western Kenya: The role of HIV status. Women’s Reprod Heal. 2015;2(2):124–38.
16. Obare F, Kwaak A Van Der, Birungi H. Factors associated with unintended pregnancy, poor birth outcomes and post-partum contraceptive use among HIV-positive female adolescents in Kenya. 2012;1–8.
17. Moher D, Liberati A, Tetzlaff J, Altman DG, Group* P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.
18. Nations U. he demographic situation in Eastern Africa [Internet]. 2024. Available from: https://www.worldometers.info/world-population/eastern-africa-population/
19. Kefelegn S, Aklilu A, Yetwale F, Amare E, Gashaw A. UNINTENDED PREGNANCY AND ASSOCIATED FACTORS AMONG PREGNANT WOMEN LIVING WITH HIV BAHIRDAR TOWN PUBLIC HEALTH FACILITIES, NORTHWEST ETHIOPIA, 2022. 2022.
20. Teklu T, Belina S, Chemir F, Tessema M, Yismaw W. Unintended pregnancy and associated factors among hiv positive women in ilu aba bora zone, South Western Ethiopia: a facility-based cross-sectional study. HIV/AIDS-Research Palliat Care. 2021;197–203.
21. Demissie DB, Mmusi-Phetoe R. Risky sexual practice, unintended pregnancy, contraceptive utilisation, and its determinants among HIV-infected women in Special Zone of Oromia regional state, Ethiopia. 2021.
22. Lelamo Y, Adem A, Dache A, Dona A. Determinants of repeated pregnancy among HIV-positive women on anti retroviral treatments at the public health facilities, in Gedeo zone, South Ethiopia: Unmatched case-control study. Clin Epidemiol Glob Heal. 2022;13:100970.
23. Obare F, van der Kwaak A, Birungi H. Factors associated with unintended pregnancy, poor birth outcomes and post-partum contraceptive use among HIV-positive female adolescents in Kenya. BMC Womens Health. 2012;12(1):1–8. pmid:23039966
24. Beguy D, Mumah J, Gottschalk L. Unintended pregnancies among young women living in urban slums: evidence from a prospective study in Nairobi city, Kenya. PLoS One. 2014;9(7):e101034. pmid:25080352
25. Napyo A, Nankabirwa V, Mukunya D, Tumuhamye J, Ndeezi G, Arach AAO, et al. Prevalence and predictors for unintended pregnancy among HIV-infected pregnant women in Lira, Northern Uganda: a cross-sectional study. Sci Rep. 2020;10(1):16319. pmid:33004969
26. Jarolimova J, Kabakyenga J, Bennett K, Muyindike W, Kembabazi A, Martin JN, et al. Contraceptive use following unintended pregnancy among Ugandan women living with HIV. PLoS One. 2018;13(10):1–13. pmid:30359430
27. Kikuchi K, Wakasugi N, Poudel KC, Sakisaka K, Jimba M. High rate of unintended pregnancies after knowing of HIV infection among HIV positive women under antiretroviral treatment in Kigali, Rwanda. Biosci Trends. 2011;5(6):255–63. pmid:22281539
28. Santos WM dos, Secoli SR, Püschel VA de A. The Joanna Briggs Institute approach for systematic reviews. Rev Lat Am Enfermagem. 2018;26:e3074. pmid:30462787
29. Thorlund K, Imberger G, Johnston BC, Walsh M, Awad T, Thabane L, et al. Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses. PLoS One. 2012;7(7):e39471. pmid:22848355
30. Woldesenbet S, Kufa T, Lombard C, Manda S, Morof D, Cheyip M, et al. The prevalence of unintended pregnancy and its association with HIV status among pregnant women in South Africa, a national antenatal survey, 2019. Sci Rep. 2021;11(1):23740. pmid:34887462
31. Ezugwu EC, Iyoke CA, Nkwo PO, Ezegwui HU, Akabueze JC, Agu PU. Unintended pregnancy among HIV-positive pregnant women in Enugu, southeast Nigeria. Int J Gynecol Obstet. 2016;132(1):60–3. pmid:26433467
32. Mayondi GK, Wirth K, Morroni C, Moyo S, Ajibola G, Diseko M, et al. Unintended pregnancy, contraceptive use, and childbearing desires among HIV-infected and HIV-uninfected women in Botswana: across-sectional study. BMC Public Health. 2015;16(1):1–10.
33. Bengtson A, Kwok C, Salata RA, Byamugisha J, Chipato T, Rwambuya S, et al. Hormonal contraceptive use and discontinuation among HIV-infected women in Uganda and Zimbabwe. J Acquir Immune Defic Syndr. 2013;63(4):506. pmid:23572011
34. C Sarnquist C, Rahangdale L, Maldonado Y. Reproductive health and family planning needs among HIV-infected women in Sub-Saharan Africa. Curr HIV Res. 2013;11(2):160–8. pmid:23432491
35. Kefale B, Adane B, Damtie Y, Arefaynie M, Yalew M, Andargie A, et al. Unmet need for family planning among reproductive-age women living with HIV in Ethiopia: A systematic review and meta-analysis. PLoS One. 2021;16(8):e0255566. pmid:34339464
36. Sutton MY, Patel R, Frazier EL. Unplanned pregnancies among HIV-infected women in care—United States. JAIDS J Acquir Immune Defic Syndr. 2014;65(3):350–8. pmid:24189153
37. Joshi B, Velhal G, Chauhan S, Kulkarni R, Begum S, Nandanwar YS, et al. Contraceptive Use and Unintended Pregnancies Among HIV-Infected Women in Mumbai. Indian J community Med Off Publ Indian Assoc Prev Soc Med. 2015;40(3):168–73. pmid:26170540
38. Sarder A, Islam SMS, Maniruzzaman , Talukder A, Ahammed B. Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries. PLoS One. 2021;16(2):e0245923. pmid:33524018
39. Salters K, Loutfy M, De Pokomandy A, Money D, Pick N, Wang L, et al. Pregnancy incidence and intention after HIV diagnosis among women living with HIV in Canada. PLoS One. 2017;12(7):e0180524. pmid:28727731
40. Mogobe KD, Tshiamo W. Characteristics of women with unplanned pregnancy: results from Botswana AIDS Impact Survey IV. Afr J Midwifery Womens Health. 2017;11(3):124–9.
41. Singh SK, Sharma B, Vishwakarma D, Yadav G, Srivastava S, Maharana B. Women’s empowerment and use of contraception in India: Macro and micro perspectives emerging from NFHS-4 (2015–16). Sex Reprod Healthc Off J Swedish Assoc Midwives. 2019 Mar;19:15–23. pmid:30928130
42. Narasimhan M, Orza L, Welbourn A, Bewley S, Crone T, Vazquez M. Sexual and reproductive health and human rights of women living with HIV: a global community survey. Bull World Health Organ. 2016;94(4):243. pmid:27034517
43. Ameyaw EK, Budu E, Sambah F, Baatiema L, Appiah F, Seidu A-A, et al. Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys. PLoS One. 2019;14(8):e0220970. pmid:31398240
44. Polansky M, Singh H, Gao Y, Aaron E. Pregnancy planning, timing, happiness and depressive symptoms among low-income women living with and without HIV. J Reprod Infant Psychol. 2018 Jul;36(3):222–34. pmid:29562754
45. Iyun V, Brittain K, Phillips TK, Le Roux S, McIntyre JA, Zerbe A, et al. Prevalence and determinants of unplanned pregnancy in HIV-positive and HIV-negative pregnant women in Cape Town, South Africa: a cross-sectional study. BMJ Open. 2018;8(4):e019979. pmid:29615449
46. Faye CM, Speizer IS, Fotso JC, Corroon M, Koumtingue D. Unintended pregnancy: magnitude and correlates in six urban sites in Senegal. Reprod Health. 2013 Nov;10(1):59. pmid:24245750
47. Loutfy M, Raboud J, Wong J, Yudin M, Diong C, Blitz S, et al. High prevalence of unintended pregnancies in HIV-positive women of reproductive age in Ontario, Canada: a retrospective study. HIV Med. 2012 Feb;13(2):107–17. pmid:22103297
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Introduction
An unintended pregnancy refers to a situation where a pregnancy occurs either when there is no desire for a child (unwanted) or when it takes place at a time that was not anticipated (mistimed). Pregnant women infected with HIV face a two to tenfold increased risk of mortality during both pregnancy and the postpartum period compared to those who are not infected. A national level cohort study has identified that about 70 babies born HIV positive, 60% of them were from unplanned pregnancy. In pregnant women living with HIV and on antiretroviral therapy, preterm birth and low birth weight have been reported. A systematic review and meta-analysis were conducted on the rate of vertical transmission of HIV in East Africa and revealed the pooled prevalence of 7.68% (ranges from 1.58–32.1%), which is far from the desired target of WHO, which is below 5%.
Methods
Appropriate and comprehensive searches of PubMed, MEDLINE, EMBASE, Google Scholar, HINARI, and Scopus have been performed. The electronic literature search was last performed on December 28/2023. All observational study designs were eligible in this SRMA (systematic review and meta-analysis). Primary studies lacking the outcome of interest, were excluded from the SRMA. The extracted Microsoft Excel spreadsheet data were imported into the STATA software version 17 (STATA Corporation, Texas, USA) for analysis. A random-effects model was used to estimate the pooled prevalence of unintended pregnancy among women living with HIV in East Africa. The Cochrane Q-test and I2 statistics were computed to assess the heterogeneity among the studies included in the SRMA.
Result
A total of 2140 articles were found by using our search strategies and finally ten studies were included in the SRMA, comprised of 4319 participants. The pooled prevalence of unintended pregnancy among women living with HIV in East Africa was 40.98% (95% CI: 28.75, 53.20%). The finding of this subgroup analysis by study country showed that the pooled prevalence of unintended pregnancy among women living with HIV was lower in Ethiopia (28.38%; 95% CI: 15.54, 41.21%) and higher in Rwanda (62.7%; 95% CI: 58.71, 66.69%). Unemployment (AOR = 2.75, 95% CI: 1.82, 4.16), high parity (AOR = 3.16, 95% CI: 2.34, 4.36) and no formal education (AOR = 2.04, 95% CI: 1.23, 3.38) were significantly associated with unintended pregnancy among women living with HIV in East Africa.
Conclusion
The findings of this SRMA suggest a substantial need for concerted efforts to reduce unintended pregnancies among women living with HIV. It underscores the importance of continuous and rigorous initiatives to enhance women’s empowerment, focusing on improving both employment and educational status. Additionally, all stakeholders are urged to diligently implement the WHO recommendations, particularly emphasizing a four-pronged approach to a comprehensive PMTCT strategy and the prevention of unintended pregnancies.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer