| Literature DB >> 31752778 |
Abstract
BACKGROUND: HIV prevalence in the Addis Ababa is still higher in key and priority populations. Therefore, this systematic review was carried out aiming in determining the prevalence of HIV and predisposing risk factors, identification of hotspot areas, key and priority populations, availability and utilization of services, and challenges and gaps to be addressed for prevention and control of HIV epidemic in Addis Ababa.Entities:
Keywords: HIV/AIDS; Hotspot; Interventions; Predisposing factors
Mesh:
Year: 2019 PMID: 31752778 PMCID: PMC6873765 DOI: 10.1186/s12889-019-7885-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1The flow chart used for collection of qualitative and quantitative data
Summary information about the source materials used
| No. | Documents | Type of document | Key findings | Objectives |
|---|---|---|---|---|
| 1 | EPHI, 2018a | Report | • HIV prevalence Table 2 and Figure 1 | 1 |
| 2 | CSA and ICF, 2016 | Survey | • HIV prevalence 3.4% in Addis Ababa • Men who had sex with non-cohabiting partners is highest in Addis Ababa (26%) than the national average (16%) • The mean number of lifetime sexual partners reported by men in Addis Ababa (5.2%) • Women reported using a condom during last sexual intercourse with non-regular partners 41.8% and men 72.4% • Discordant couples (4.3%) | 1, 3 |
| 3 | EPHI, 2018b | Survey | • HIV prevalence is 3.1% in Addis Ababa • VLS of whole country in urban areas is 70.1% (Female 71.7% and Male 66.8%), varies by age, sex, and region, • Status of the three 90’s in Addis Ababa: 65.2 % for the 1st 90, 63.3 % for the 2nd 90 and 58.2% of all PLHIV | 1, 5 |
| 4 | Moher | Article | • PRISMA Statement | - |
| 5 | CSA and ORC, 2005 | Survey | • HIV prevalence is 4.7% in Addis Ababa | 1, 3 |
| 6 | CSA and ICF, 2011 | Survey | • HIV prevalence is 5.2% in Addis Ababa | 1, 3 |
| 7 | EPHI, 2015 | Report | • Figure 1 for HIV prevalence | 1 |
| 8 | EPHI, 2011 | Report | • Figure 1 for HIV prevalence | 1 |
| 9 | EPHI, 2014 | Report | • Figure 1 for HIV prevalence | 1 |
| 10 | EPHI, 2017 | Report | • Figure 1 for HIV prevalence | 1 |
| 11 | FHAPCO, 2018 | Report | • Behavioural, biomedical and structural interventions • ART coverage is 74.6%; viral load testing coverage ~60% with 87.5% VLS • In Addis Ababa, the total number on ART were 94,240 and 3,616 were newly enrolled; retention at 12 months 87% • Figures 2, 3, 4 | 1, 5 |
| 12 | EPHA/CDC (2012) | Report | • Death related to HIV/AIDS in Figure 5 | 1 |
| 13 | AAHAPCO, 2017 | Synthesis | • Key drivers of the epidemic; hotspot areas; intervention strategies; challenges on intervention | 2, 3, 4, 5 |
| 14 | Lakew | Article | • 5.7% HIV-positives among mobile workers | 1, 4 |
| 15 | FMOE, 2012 | Survey | • low level of knowledge, peer pressure, practices of unsafe sex, the proliferation of addictions (shisha, khat, alcohol) and substance abuse, gender–based violence were driving forces for the spread of the epidemic. | 3, 4, 5 |
| 16 | PSI/E, __ | Research brief | • Non-self-identified (NSI) FSWs to supplement their income to support family or the desire for fashion and luxury goods • The main barrier to condom use is higher payment, in addition to intimacy and trust with long-term clients • NSI FSWs felt some polices favor clients and they would be unlikely to get a positive outcome by reporting violence • NSI FSWs may be more likely to experience violence, but less likely to report it given the hidden nature of their work | 3 |
| 17 | Deyessa | Survey | • Male users dominated female users at a ratio of 9:1; 3/4 of the IDUs were below the age of 35 years • The estimated IDUs in Addis Ababa were 4,068 • The majority, 200 (72.5%) of the drug users from Addis Ababa had the habit of reusing needle and syringe • Of the 177 Addis Ababa residents who claimed to have tested for HIV, 70 (39.5%) disclosed as HIV positive | 1, 3 ,4 |
| 18 | Cherie | Article | • Peer pressure is the most important factor associated with risky sexual behavior among school adolescents | 3 |
| 19 | Mirkuzie (2018) | Article | • 2% and 4% of the HIV exposed babies were HIV positive by 6 and 18 months, respectively • No prophylactic ART and mixed feeding were predictors for having an HIV positive antibody test at 18 months | 5 |
| 20 | Klaus | Article | • The barriers to PMTCT completion: hopelessness and carelessness, lack of understanding of the efficacy of ARV, and negative religious influences. | 3 |
| 21 | Endalamaw | Article | • Rural residence, home delivery, no ART prophylaxis and mixed feeding increased the risk of HIV transmission | 3 |
| 22 | Menna | Article | • High knowledge of HIV/AIDS, attitude towards ‘ABC’ rules, being tested for HIV and chewing khat are factors associated with multiple sexual partnerships among secondary school students. | 3 |
| 23 | EPHA | Report | • The estimated HIV prevalence among FSWs in towns was 23.0%,; 4.5% in truck drivers • ~15.5% of drivers have misconceptions about HIV prevention methods • 21 % of drivers accept that once they had unprotected sex with someone, there is no reason to use condoms • Divorced/Separated/Widowed have also high HIV prevalence | 1, 3, 4 |
| 24 | UNODC, 2014 | Survey | • HIV prevalence 4.2% in prison settings | 1, 4 |
| 25 | PEPFAR, 2018 | Strategic Plan | • There are about 200,000 FSWs in Ethiopia | 1, 4 |
| 26 | PSI/E, 2016 | Research brief | • The majority of FSWs (57.5 %) are 24 years and younger, and about 14% are 19 years or younger • > 6% of HIV positive FSWs who started ART reported discontinuation of treatment for more than seven days in the three months prior to the assessment | 1, 4, 5 |
| 27 | Demissie | Article | • The prevalence of HIV among IDUs was 6% • 40% of IDUs reported ever sharing needles; 56% reported sharing other injecting equipment; among HIV-positive IDUs, 60% reported sharing a needle the last time they injected. • Most of the IDUs were males (96%) with a mean age of 26 years. | 1, 3, 4 |
| 28 | FHAPCO, 2018 | National roadmap | • Key and priority populations | 4 |
| 29 | FMoH, 2018 | Report | • Behavioural, biomedical and structural interventions | 5 |
| 30 | Biadgilign | Article | • Parents refusing to give consent for their children to access HIV testing services (HTS) and ART services | 5 |
| 31 | Gesesew | Article | • Males being away from home, drug addiction, fear of stigma & discrimination, distance from ART clinics, dependent on food supplies, mental problems, HIV negative partners; and baseline CD4 <200 cells/mm3 and WHO clinical stages 3 & 4 were factors of ART discontinuation. | 5 |
| 32 | Gesesew | Article | • Being rural dweller, illiteracy, marriage, alcohol use, smoking, having mental illness and being bed ridden functional status, having HIV positive partner and being co-infected with TB/HIV were factors for ART discontinuation. | 5 |
| 33 | Gesesew | Article | • ART discontinued adults were more likely to be females, tuberculosis/HIV co-infected, with immunological failure and no history of HIV testing. | 5 |
| 34 | Bezabhe | Article | • Economic constraints, perceived stigma & discrimination, medication side effects, and dissatisfaction with healthcare services, disclosure of HIV status, social support, responsibility for raising children, improved health on ART, and receiving education and counseling were factors for patients being non-adherent and lost to follow-up | 5 |
| 35 | Tiruneh and Wilson, 2016 | Article | • With the introduction of appointment spacing, some patients complain of lack of storage space for the six-month supply of ARTs, poor storage conditions for their medicines, and preference of frequent follow up. Health workers are also concerned about adherence given the less frequent contact of PLHIV with the health services | 5 |
| 36 | PEPFAR, 2016 | Operation plan | • Key and priority populations | 4 |
| 37 | FHAPCO, 2014 | Strategic plan | • HIV transmission interventions include behavioural, biomedical and structural components. • The plan intends to achieve the three 90 targets by 2020 through targeted social mobilization and HIV testing, linkage to care, quality of HIV treatment, and virtual elimination of MTCT, envisioning ending AIDS by 2030 | 5 |
| 38 | Gudina | Article | • Combination ART acheives sustained HIV viral suppression and contributes to improvement in the quality of life; and reductions in mortality, progression to AIDS, opportunistic infections (OIs), hospitalization, and decreased HIV transmission to uninfected persons | 5 |
| 39 | Misgena, 2011 | Article | • Challenges related to HAART include lifelong therapy, failed treatment response, optimal time to start treatment and switching regimens, drug interaction, toxicity, cardiovascular risks, drug resistance, lost to follow-up, immune reconstitution inflammatory syndrome (IRIS), early mortality, challenges in viral load testing. | 5 |
| 40 | Bernabas | Article | • Noncompliance to medical instruction and poor adherence fosters emergence of drug resistance. Limited availability of laboratory services such as HIV RNA load and drug resistance testing and monitoring due to lack of experience of health professionals, and weak infrastructure and health care system contribute to delay in diagnosis of treatment failure | 5 |
| 41 | Telele | Article | • The high rate of transmitted and preexisting drug resistance mutations in Ethiopian patients are identified | 5 |
Note: Objective representation of the agreed thematic areas, 1 = Determine the prevalence and incidence of HIV and mortality rate in the City; 2 = Identify the hot spot areas in the City; 3 = Establish factors involved in driving the epidemic in the city, through analysis of behavioural, biological, socio-economic and demographic data; 4 = Identify most-at-risk and priority population groups in the City Administration (sex workers, in-school youth, prisoners/inmates, discordant couples and IDUs); 5 = Quickly assess service availability, access and utilization for the identified most at risk/priority populations groups in the City Administration
HIV prevalence in Addis Ababa from EDHS and EPHIA [2, 3, 5, 6]
| Studies | % HIV prevalence | ||
|---|---|---|---|
| Total | Women | Men | |
| EDHS 2005 | 4.7 | 6.1 | 3.0 |
| EDHS 2011 | 5.2 | 6.0 | 4.3 |
| EDHS 2016 | 3.4 | 4.2 | 2.2 |
| EPHIA 2017 | 3.1 | – | – |
Fig. 2HIV prevalence in Addis Ababa, ANC 2005–2014 and PMTCT 2016 [7–10]
Fig. 3Total condom distributed and condom distributed for MARPs from 2006 to 2010 EFY [11]. EFY = Ethiopian fiscal year
Fig. 4Total number of individuals who were provided IGA training and start-up capital from 2006 to 2010 EFY; IGA = income generating activities [11]. EFY = Ethiopian fiscal year
Fig. 5Number of individuals currently on ART (cumulative), 2006–2011 EFY [11]. EFY = Ethiopian fiscal year
Fig. 6Percentage of AIDS death in Addis Ababa from 2007 to 2011 [12]