| Literature DB >> 32160885 |
Dyah Juliastuti1,2,3, Judith Dean4,5, Lisa Fitzgerald4,6.
Abstract
BACKGROUND: The number of women living with the human immunodeficiency virus (WLHIV) in Muslim-majority countries has increased significantly in the last decade. These women are often marginalized and face insecure sexual and reproductive health (SRH) needs and rights. However, little is known about the multi-faceted factors influencing these women's fertility, contraceptive, and perinatal decisions and sexual life. This systematic mixed studies review aimed to synthesize the empirical evidence on social, cultural, and structural factors influencing the SRH of WLHIV in Muslim-majority countries.Entities:
Keywords: Mixed methods; Muslim-majority countries; Sexual and reproductive health; WLHIV
Mesh:
Year: 2020 PMID: 32160885 PMCID: PMC7066758 DOI: 10.1186/s12914-020-00225-z
Source DB: PubMed Journal: BMC Int Health Hum Rights ISSN: 1472-698X
Fig. 1Systematic research
Proportion of Muslim population, HIV prevalence, and number of WLHIV in the Muslim countries included in identifying potential articles. Adapted from Pew Research Centre (2011) and UNAIDS (2018)
| No. | Country | Muslim population (%)* | HIV prevalence (%) in adult population (15–49 years)** | Estimated number of WLHIV** | ||
|---|---|---|---|---|---|---|
| 2008 | 2017 | 2008 | 2017 | |||
| 1 | Afghanistan | 99.8 | … | … | … | … |
| 2 | Algeria | 98.2 | 0.13 | < 0.1 | 2300 | 6100 |
| 3 | Bangladesh | 90.4 | 0.18 | < 0.1 | 2600 | 4400 |
| 4 | Chad | 55.7 | 1.7 | 1.3 | 53,000 | 62,000 |
| 5 | Egypt | 94.7 | < 0.1 | < 0.1 | 1800 | 4800 |
| 6 | Indonesia | 88.1 | 0.3 | 0.4 | 120,000 | 220,000 |
| 7 | Iran | 99.7 | < 0.1 | 0.1 | 11,000 | 15,000 |
| 8 | Kazakhstan | 56.4 | < 0.1 | 0.2 | 2100 | 8000 |
| 9 | Kyrgyzstan | 88.8 | 0.1 | 0.2 | 1000 | 2500 |
| 10 | Lebanon | 59.7 | < 0.1 | < 0.1 | < 500 | < 500 |
| 11 | Malaysia | 61.4 | 0.5 | 0.4 | 14,000 | 17,000 |
| 12 | Morocco | 99.9 | < 0.1 | < 0.1 | 5900 | 7800 |
| 13 | Niger | 98.3 | 0.5 | 0.3 | 15,000 | 16,000 |
| 14 | Pakistan | 96.4 | < 0.1 | 0.1 | 12,000 | 43,000 |
| 15 | South Sudan | 71.4 | 2.9 | 2.4 | 81,000 | 98,000 |
| 16 | Tajikistan | 99.0 | 0.2 | 0.3 | 2100 | 3800 |
| 17 | Tunisia | 99.8 | < 0.1 | < 0.1 | < 500 | < 1000 |
| 18 | Turkey | 98.6 | … | ... | … | … |
| 19 | Uzbekistan | 96.5 | 0.2 | 0.3 | 9700 | 17,000 |
| 20 | Yemen | 99.0 | … | … | … | … |
* Pew Research Center [28]
**UNAIDS [32]
Research summary of the included publications
| Adam et al., 2016 [ | Sudan | Quantitative (descriptive study) / 26 WLHIV* | To investigate the maternal characteristics, pregnancy outcomes and estimate of maternal to child transmission of HIV among HIV infected women. | x | x | 25% | |||
| Anwar et al., 2010 [ | Bangladesh | Sequential mixed method / 15 PLHIV* (Qualitative); 38 WLHIV & 76 MLHIV1 (Quantitative) | To explore sexual life of people with HIV/AIDS in Bangladesh | x | x | x | x | 75% | |
| Behboodi-Moghadam et al., 2015 [ | Iran | Qualitative (content analysis) / 15 WLHIV | To explore fertility intentions and experiences of infected women with HIV | x | x | x | 75% | ||
| Behboodi-Moghadam et al., 2016 [ | Iran | Qualitative (content analysis) / 12 pregnant WLHIV | To explore the experience of pregnancy among Iranian women with HIV | x | x | 75% | |||
| Davis et al., 2017 [ | Kazakhstan | Quantitative (cross-sectional study) / 242 WLHIV | To determine the extent which HIV-positive women are trading sex and to identify risk factors that may drive participation in sex trading among this population | x | 75% | ||||
| El Fane et al., 2011 [ | Morocco | Quantitative (descriptive study)/72 WLHIV & 62 MLHIV | To identify sexual disorders affecting PLWHA and to determine factors influencing their sexuality | x | x | 50% | |||
| Jiwatram-Negron et al., 2017 [ | Kazakhstan | Quantitative (cross-sectional survey) / 249 WLHIV | To explore whether similar or different patterns of risk and protective factors emerge | x | 75% | ||||
| Kaplan et al., 2016 [ | Lebanon | Qualitative (constant comparative) / 10 WLHIV | To develop a framework that facilitates understanding of the process by which women created meaning in their lives during and after learning of their sero-positivity. | x | 75% | ||||
| Karaosmanoglu et al., 2011 [ | Turkey | Quantitative (descriptive study)/27 WLHIV & 109 MLHIV | To determine the epidemiologic and clinical features of patient with HIV infections and AIDS followed during a 3.5-year period. | x | 50% | ||||
| Mohammadi et al., 2015 [ | Iran | Qualitative (content analysis)/10 WLHIV | To explore the lived experience of domestic violence in Iranian HIV-infected women | x | 75% | ||||
| Nedjat et al., 2015 [ | Iran | Mixed method descriptive sudy / 25 WLHIV & 20 MLHIV (Qualitative); 160 WLHIV & 240 MLHIV | To evaluate the sexual and reproductive health needs of PLHIV in Tehran | x | x | x | x | x | 100% |
| Rahmalia et al., 2015 [ | Indonesia | Quantitative (prospective cohort) / 881 WLHIV & 1781 MLHIV | To determine the relative proportion of female patients in an HIV cohort and characterized their probable transmission route and reproductive profile. | x | x | 75% | |||
| Saeieh et al., 2016 [ | Iran | Qualitative (content analysis) / 18 WLHIV | To explore experience s of HIV positive women about contraceptive use | x | x | x | x | 75% | |
*WLHIV Women living with HIV, PLHIV People living with HIV, MLHIV Men living with HIV
**Mixed Methods Appraisal Tool version 2011 [30]. The score is 25% when QUAL = 1 or QUAN = 1 or MM = 0; it is 50% when QUAL = 2 or QUAN = 2 or MM = 1; it is 75% when QUAL = 3 or QUAN = 3 or MM = 2; and it is 100% when QUAL = 4 and QUAN = 4 and MM = 3 (QUAL being the score of the qualitative component; QUAN the score of the quantitative component; and MM the score of the mixed methods component
General characteristics of the included publications
| Description | Specification | Number of Study |
|---|---|---|
| Study Type | Qualitative | 4 |
| Quantitative | 6 | |
| Mixed Method | 3 | |
| Country of origin | Bangladesh | 1 |
| Iran | 5 | |
| Indonesia | 1 | |
| Kazakhstan | 2 | |
| Lebanon | 1 | |
| Morocco | 1 | |
| Sudan | 1 | |
| Turkey | 1 | |
| Study setting | Hospital | 9 |
| Community-supporting group | 2 | |
| Mixed setting | 2 |
Synthesis findings: factors influencing the sexual and reproductive health among WLHIV in Muslim-majority countries
| Fertility Desire | Contraceptive Use | Perinatal Experiences | Safer Sex Practice | Sexual Life |
|---|---|---|---|---|
• Individual satisfaction and hope for better future by having child • Having living child • Having HIV-infected child • Fear of transmitting the infection to the baby • Worried of child’s well-being and future • Uncertainty about their-own health and well-being • Pressure from husband/ family to conceive • Social and cultural belief about having child after married • Stigma and discrimination experience of previous pregnancy and delivery • Pressure from health care providers for not having (more) pregnancy | • Women’s fertility desire • Fear of contraceptive’s side effects • Religious belief constrictions • Partner’s preference of contraception • Less access to the methods • Lack of methods’ availability • Limited information and understanding about varied contraceptive methods • Pressure from health providers to use male condom only • Legal abortion services | • Trusting the God will • Complying HIV- treatment • Health care provider discriminated behaviour • Health care providers showed less respect and no confidentially • Access to safe abortion services • Lack of PMTCT information • Non-economical formulae feeding | • Fertility desire • Unknown HIV-status of sexual partner • Status disclosure to sexual partner • Inconvenience in using and procuring condoms • Fear of partner violence if persuading condom use • Lack of agreement with partners related to condom use • Patriarchal belief and engendered norms • No access to female condom • Limited information about condom use and its efficacy | • Feeling guilty of having pre-marital sexual activities • ART uptake • Sexual violence • Denial of HIV status • Not wanting to be pregnant • Fear of infecting sero-discordant partner • Worried to be divorced and lack of social and economic support from partner • Mental illness • Drug use |