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Submitted:
02 April 2024
Posted:
03 April 2024
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Characteristics | N=30 | Percentage(%) |
---|---|---|
Year of Publication 2014-2019 2020-2024 |
14 16 |
46.7 53.3 |
Research Design Quantitative studies Qualitative studies |
17 13 |
56.7 43.3 |
Population Men who have sex with men/gay men (with and without HIV) People living with HIV Women Community-based workers Healthcare professionals Key informants on HIV programs and policies Overseas Filipino workers Transgender women Prisoners |
12 9 3 3 3 3 2 2 1 |
40.0 30.0 10.0 10.0 10.0 10.0 6.70 6.70 3.33 |
Factors | N=30 | Percentage(%) |
---|---|---|
HIV Contributory factors Individual factors Sociocultural factors Economic factors Environmental factors Political factors Educational factors Biological factors |
21 19 13 11 7 4 2 |
70.0 63.3 43.3 36.7 23.3 13.3 6.67 |
No. | Author | Year | Methods | Relevant findings | Factors contributing to high HIV incidence |
---|---|---|---|---|---|
1 | Adams et al. | 2021 | Qualitative descriptive n=19 Gay and straight men |
Lack of awareness on prevention other than condoms, unprotected sex; low HIV testing (requirement of immigration process); lack of education, accessibility of healthcare resources, lack of quality information on HIV; shame and stigma; lack of regular check-ups | Individual, sociocultural, political, educational, environmental |
2 | Adia et al. | 2018 | Qualitative; n=21 HIV+ MSM, community-based HIV workers |
Stigma influences testing and leads to late diagnosis and causes barriers to access to healthcare; religious society | Sociocultural |
3 | Bijker et al. | 2017 | Quantitative; n=3,994 PLHIV in Asia (including the Philippines) and Africa |
Sub-optimal adherence (SOA) is 4.8% in Asia; SOA to treatment is higher in MSM and IVDU; LMICs have higher SOA | Individual, economic, environmental |
4 | Canoy & Ofreneo | 2017 | Qualitative n=20 HIV+ gay men |
Fear of disclosure to family, friends, and co-workers due to stigma; entering into same sex relationship for financial support; Catholic culture | Individual, sociocultural, economic |
5 | Calaguas | 2020 | Quantitative n=491 MSM, gay men |
MSM, marital status, gender expression, relationship status, their predominant sexual position, and the sexes of their sexual partners are significantly associated with the use or non-use of condoms during their last sexual intercourse. | Individual |
6 | Cheng et al. | 2016 | Quantitative n=1,912 Young adults |
Same sex behavior is a predictor of age at first sex, lifetime substance abuse particularly smoking, and drug use. | Individual, sociocultural |
7 | Deuba et al. | 2018 | Quantitative n=3,827 in 7 Asia-Pacific countries including the Philippines |
55% has partners who are HIV+, 35% and 10% unknown; 43% practiced inconsistent condom use with regular partner and 46% with a casual partner; Filipinos have the highest sexual risk behavior with 63% inconsistent condom use with regular partner and 60% with a casual partner; lack of condom availability; lack of awareness that condom is still needed if both partners are HIV+. Living in rural areas less likely to report inconsistent condom use. More likely to report inconsistent condom use: sex workers, partners who are HIV+, those who do not know their partner’s status. | Individual, sociocultural, environment, economic |
8 | De Irala | 2016 | Quantitative; n=8,994 4 countries including the Philippines |
Low knowledge on condom effectiveness in preventing HIV; peer pressure not to use condom, wanted to feel having sex without condom | Individual, sociocultural |
9 | De los Santos et al. | 2022 | Quantitative n=100 |
Health workers who lack awareness of HIV care are prone to discriminating against people with HIV. Health care workers gossip about gay people with HIV. The experience of stigma is more prevalent in RHUs than hospitals, polyclinics and private treatment hubs. | Sociocultural, environment |
10 | De Torres et al. | 2021 | Quantitative PLHIV |
9% were non-adherent to treatment; time and activity constraints were the primary reasons for lack of adherence to ART and scheduled clinic visits. | Individual |
11 | Estacio et al. | 2021 | Quantitative, cross-sectional; n=292 Sex workers |
Sex work engagement high among drug users, abused individuals, and problems with friends; low HIV testing and case finding | Individual, sociocultural |
12 | Gohil et al. | 2020 | Qualitative; n=57 Key informants on HIV policies and HIV test users, MSM, TGW |
Policy and regulatory issues (no policy on HIV self-testing), conservative culture; poor HIV knowledge, cost, fake test kits | Individual, political, sociocultural, economic |
13 | Hall et al. | 2020 | Quantitative; n=1,362 OFW in Hong Kong |
Reasons for not having HIV testing: No perceived need, unwillingness, and no time (work) | Individual, economic |
14 | Hollingshead et al. | 2020 | Qualitative virtual ethnography MSM, community, key informants |
Use of gay dating mobile apps makes sex partners more accessible | Individual, sociocultural |
15 | Jegonia | 2019 | Quantitative Nurses and physicians Sample not specified |
Marked stigma among healthcare workers correlates with care and services provided. Religion, profession, workplace, and years of experience were significantly correlated with stigma. Stigma is inversely related with level of care. | Individual, sociocultural, economic, environment |
16 | Melgar et al. | 2018 | Qualitative Records analysis |
Restrictive policies, conservative religious society | Political, sociocultural |
17 | Milallos & Cutamora | 2019 | Qualitative, Husserlian phenomenology, n=7 PLHIV | High-risk sex practices | Individual |
18 | Mosende et al. | 2023 | Quantitative n=171 health care workers |
Lack of knowledge on HIV transmission | Individual |
19 | Newman et al. | 2022 | Qualitative n=132 Youth and key informants |
Peer, family (fear of disclosure), school (lack of discussion on sexual issues; fragmentation between educational and healthcare systems), and healthcare factors (lack of gender-affirmative health services); stigma and negative beliefs about HIV | Sociocultural, political, educational |
20 | Noble & Austin | 2014 | Quantitative n=women in 80 less-developed countries |
Democracy encourages women’s participation in HIV programs, female empowerment measured by schooling, having birth attendant at delivery, and fertility rates influence contraceptives rates and HIV rates; GDP influences women empowerment; Muslim influences HIV prevalence | Sociocultural, economic, political |
21 | Ofreneo & Canoy | 2017 | Qualitative n=13 OFW |
Risk of infecting spouse upon return from overseas work | Individual, sociocultural, economic |
22 | Ofreneo et al. | 2021 | Qualitative n=105 MSM |
Low socioeconomic status bisexual, multiple sex partners are unsafe | Individual, sociocultural, economic |
23 | Palma & Parr | 2021 | Qualitative n=18 Female prisoners |
Prison management and practices increases HIV risk, low HIV knowledge, increased vulnerability before prison | Individual, environment |
24 | Pepito & Newton | 2020 | Quantitative, secondary data analysis n=16,155 Women |
Low HIV testing (2.4%); tobacco use, middle class, TV/internet access, rural area, Muslim were more likely to get tested | Individual, sociocultural, environment |
25 | Restar et al. | 2019 | Qualitative phenomenology n=15 Health care providers (HCP) |
Hesitancy in providing HIV services due lack of awareness and training on health needs of MSM and TGW, and unsure how to prioritize HIV services. | Environment, education |
26 | Restar et al. | 2020 | Qualitative n=30 MSM, TGW |
Friends, lack of education in schools, church, cost, accessibility | Sociocultural, education, economic, environmental |
27 | SahBandar et al. | 2017 | Quantitative n=110 PLHIV |
Low ART treatment rate (0.9%); high HIV prevalence in IVDU; drug-resistant HIV variants; limited resources | Individual, sociocultural, environment, biological, political |
28 | Salvana et al. | 2017 | Quantitative n=81 |
Shift in HIV molecular biology with more resistant HIV strain and increased local transmission, low consistent condom use, transactional sex, sex with HIV+ individuals | Biological, individual, sociocultural, economic |
29 | Seposo et al. | 2019 | Quantitative; n=9 Social hygiene clinics (SHC) |
Higher HIV prevalence in areas with suboptimal SHCs | Environmental, economic, political |
30 | Wong et al. | 2020 | Quantitative | High cost and inconsistent implementation of AIDS treatment package | Economic |
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