Study characteristics
The study includes characteristics such as the documents selected to be used in addressing the objectives and the findings in each document. The information relevant to the study in 41 documents was extracted and used accordingly as qualitative information as summarized in Table 1, and quantitative in Table 2 and Figures 2-6.
Table 1. 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
|
CSA and ICF, 2005
|
Survey
|
· HIV prevalence is 4.7% in Addis Ababa
|
1, 3
|
5
|
CSA and ICF, 2011
|
Survey
|
· HIV prevalence is 5.2% in Addis Ababa
|
1, 3
|
6
|
EPHI, 2015
|
Report
|
· Figure 1 for HIV prevalence
|
1
|
7
|
Moher et al., 2015
|
Aticle
|
· PRISMA Statement
|
-
|
8
|
EPHI, 2011
|
Report
|
· Figure 1 for HIV prevalence
|
1
|
9
|
EPHI, 2014
|
Report
|
· Figure 1 for HIV prevalence
|
1
|
10
|
EPHI, 2017b
|
Report
|
· Figure 1 for HIV prevalence
|
1
|
11
|
AAHAPCO, 2017
|
Synthesis
|
· Key drivers of the epidemic; hotspot areas; intervention strategies; challenges on intervention
|
2, 3, 4, 5
|
12
|
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
|
13
|
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
|
14
|
Deyessa et al., 2018
|
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
|
15
|
Cherie et al., 2012
|
Article
|
· Peer pressure is the most important factor associated with risky sexual behavior among school adolescents
|
3
|
16
|
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
|
17
|
Klaus et al., 2015
|
Article
|
· The barriers to PMTCT completion: hopelessness and carelessness, lack of understanding of the efficacy of ARV, and negative religious influences.
|
3
|
18
|
Endalamaw et al., 2018
|
Article
|
· Rural residence, home delivery, no ART prophylaxis and mixed feeding increased the risk of HIV transmission
|
3
|
19
|
Menna et al., 2014
|
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
|
20
|
EPHA et al., 2013
|
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
|
21
|
UNOD, 2014
|
Survey
|
· HIV prevalence 4.2% in prison settings
|
1, 4
|
22
|
Lakew et.al., 2015
|
Article
|
· 5.7% HIV-positives among mobile workers
|
1, 4
|
23
|
PEPFAR, 2018
|
Strategic Plan
|
· There are about 200,000 FSWs in Ethiopia
|
1, 4
|
24
|
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
|
25
|
Demissie et al., 2018
|
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
|
26
|
PEPFAR, 2017
|
Operation plan
|
· Key and priority populations
|
4
|
27
|
FHAPCO, 2018
|
National roadmap
|
· Key and priority populations
|
4
|
28
|
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
|
29
|
FHAPCO, 2010 EFY
|
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
|
30
|
FMoH, 2018
|
Report
|
· Behavioural, biomedical and structural interventions
|
5
|
31
|
Biadgilign et al., 2011
|
Article
|
· Parents refusing to give consent for their children to access HIV testing services (HTS) and ART services
|
5
|
32
|
Gudina et al., 2017
|
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
|
33
|
Gesesew et al., 2016
|
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
|
34
|
Gesesew et al., 2017a
|
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
|
35
|
Gesesew et al., 2017b
|
Article
|
· ART discontinued adults were more likely to be females, tuberculosis/HIV co-infected, with immunological failure and no history of HIV testing.
|
5
|
36
|
Bezabhe et al., 2014
|
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
|
37
|
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
|
38
|
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
|
39
|
Bernabas et al., 2017
|
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
|
40
|
Telele et al., 2018
|
Article
|
· The high rate of transmitted and preexisting drug resistance mutations in Ethiopian patients are identified
|
5
|
41
|
EPHA/CDC (2012)
|
Report
|
· Death related to HIV/AIDS in Figure 5
|
1
|
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 prevalences
Surveys and assessment conducted in Addis Ababa such as EDHS [2, 4, 5], and EPHIA assessment [3] showed that prevalence of HIV is 4.7%, 5.2%, 3.4% and 3.1%, respectively (Table 2). Around 104,851 PLHIV live in Addis Ababa contributing nearly to 17.7% of the PLHIV population in the country, while it contributes 3.5% to the total population of the country [1].
Table 2. HIV prevalence in Addis Ababa from EDHS and EPHIA [2, 3, 4, 5].
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
|
-
|
-
|
Prevalences of HIV in Addis Ababa from Antenatal care (ANC) based surveillance of 2005-2014 are in a range of lowest in 2012 (4.4%) to the highest in 2005 (12.1%). The prevalence is relatively higher in 2014 (5.5%) than the prevalence in 2012 (4.4%). In addition, the prevalence from prevention of mother to child (PMTCT) surveillance report of 2016 (1.8%) is lower than the prevalence from ANC surveillance report of 2014 (Figure 2).
Hotspot areas of HIV transmission
The most common hot spots in Addis Ababa are areas where bars, groceries, pensions, guest houses, hotels, brothels, massage houses, khat houses, shisha houses, night clubs, drinking establishments and tourist frequented settings are concentrated. Condominiums are also mentioned as hotspot areas because sex workers commonly rent condos and are becoming centre of sexual transactions. There are various behavioural, biological and socio-economic predisposing risk factors that drive the epidemic in these hotspot areas in particular and the general population in general [11, 22].
Factors involved in driving the epidemic
1. Behavioural factors
Low comprehensive knowledge about HIV/AIDS; alcohol and khat, shisha, substance abuse; gender based violence including rape; sex with multiple partners; practices of unsafe sex and inconsistent condom use; and dissatisfaction with sexual life in marriage are among major predisposing behavioural risk factors for the spread of HIV [11, 12, 13]. According to study conducted by OSSHD 72.5% of the intraveinous drug users (IDUs) in Addis Ababa had the habit of reusing needle and syringe [14]. In addition, early sexual debut, peer influence of young girls to engage in transactional sex, virginity selling, unfaithfulness for marriage, and boyfriend/girlfriend sharing are identified as risk factors for HIV transmission [11, 12, 15]. In other studies, the percentage of men who had sex with non-marital, non-cohabiting partners is highest in Addis Ababa (26%) compared to national (16%). In Addis Ababa, the highest mean number of lifetime sexual partners reported by men is 5.2; and 72.4% of women and 41.8% men reported using condom during last sexual intercourse with non-regular partner [2].
2. Biological factors
Discordant couples have the highest risk of acquiring HIV. From the total HIV positive couples in Addis Ababa, 4.3% of them were found to be discordant [2]. The proportion of disclosure of HIV/AIDS diagnosis to HIV-infected children is low. Almost one in ten HIV exposed infants become HIV positive in Ethiopia. Two and four percent of the HIV exposed babies were HIV positive by 6 and 18 months, respectively [16]. There is low utilization of timely early infant diagnosis (EID) services. Being from the rural residence, home delivery, lack of understanding of the efficacy of ART, negative religious influences, and mixed infant feeding practices increased the risk of HIV transmission to children [17, 18].
3. Socio-economic factors
There are various socioeconomic factors contributing for high HIV epidemic in the City. High concentration of FSWs as means of livelihood; low socio-economic status; increasing sexual practices in massage houses; practice of intergenerational sex; high number of establishment like bars, hotels, restaurants, pastries, day and night clubs, brothels, pensions, local drink houses, and guest houses; engagement of gate-keepers, brokers and hotel owners in facilitating young girls to have transactional sex; growing number of construction and industry sites leading to increasing daily laborers from all parts of the country; living in groups to share house rent; high presence of movie houses that show pornographies; virtual appointments for dating and sexual relation; presence of naked dancing and call girls service; serving of the cosmetic and cloth shops for drugs distribution; increasing number of migration and visitors; cultural change and moral deterioration are the socio-economoc predisposing risk factors. Similarly, absence of recreational centers for youth, divorce and widowhood are aggravating factors for the spread of HIV in the City [2, 11, 19].
Key and priority populations
MARPs Survey showed that the prevalence of HIV infection were 23% in self-identifying FSWs and 4.5% in truck drivers [20]; 4.2% in prison settings [21] and 5.7% HIV among mobile workers [22]. About 15.5% of drivers have misconceptions about HIV prevention methods [20]. According to recent estimates, there are about 200,000 FSWs in Ethiopia [23]. The majority of FSWs (57.5 %) are 24 years and younger, and about 14% are 19 years or younger [24]. MARPs study [20] also showed that the size of FSWs in Addis Ababa was estimated to be 10,267. HIV prevalence in FSWs is four times higher than the general population.
A total of 4,068 IDUs are estimated to be located in Addis Ababa [25]. The majority (72.5%) of the IDUs 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 [14]. In addition, the prevalence of HIV among IDUs in Addis Ababa is 6%, and 40% of IDUs reported ever-sharing needles. Furthermore, among HIV-positive IDUs, 60% reported sharing a needle the last time they injected [25]. Male IDUs are higher in number than female users at a ratio of 9:1 and 3/4 of the IDUs were below the age of 35 years [14].
In Addis Ababa, following on identifying FSWs as KP, various priority populations were also identified. The priority populations (PPs) are divorced and widowed persons; HIV-negative partners in discordant couples; long-distance truckers and taxi drivers and their assistants; paying clients and non-paying ('Balukas') of sex workers; individual engaged in transactional sex including sugar daddies and mummies, and waitresses; daily labourers in constructions and factories; IDUs; brokers, managers and workers in bars, groceries, pensions, guest houses, hotels, local drink houses, massage houses and shisha houses; and vulnerable adolescents and youth (immigrants from all parts of the country, migration returnees, house maids, street children, high education institution students and night school students) [11, 12, 23, 27].
HIV transmission interventions
1. Behavioral interventions
Behavioural change communication (BCC), conducting peer and outreach education sessions, transmitting messages using mini-media and mass-media, condom promotion, and life skill trainings are the common behavioural interventions. The national average performance of condom distribution to MARPs group is 43.9% of the plan while for Addis Ababa it was 28.9% of their plan that is far below the national average. Likewise, the proportion of condom distributed to MARPs is very low, only 18.4% of the total condom distributed in the city [29, 30, Figure 3].
2. Structural interventions
Structural interventions aiming to reduce vulnerability or ensuring service accessibility are being implemented including provision of economic strengthening, mapping and identification of hotspot areas and risky target groups, drop-in-centres (DICs), gender based violence and referral linkage [29, 30]. Findings indicated that economic strengthening interventions are diminishing in scale (Figure 4).
3. Biomedical interventions
Biomedical interventions services are distribution of condom, HIV testing, sexually transmitted infection (STI) screening and treatment, ART, PMTCT and family planning, and ART post-exposure prophylaxis. In addition, ART pre-exposure prophylaxis for FSWs and discordant couples is at piloting stage. More than 10% of the BCC beneficiaries/FSWs had never been tested for HIV [24]. Some parents are refusing to give consent for their children to access HIV testing services (HTS) and ART services [31].
Behavioral, socio-economic and biomedical factors contributed to discontinuation ART. Heavy pill burden, fear of stigma and discrimination, cost and access to transportation, medication side effects, economic problems in the household, long travel due to distance from ART clinics, long waiting times, alcohol drinking, smoking, being with baseline CD4 <200 cells/mm3, having mental illness, being bed ridden functional status, and dissatisfaction with healthcare services were risk factors for ART discontinuation. Males were reported to be most affected by discontinuation from being away from home [33, 34, 35, 36]. More than 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 [24]. 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. On the other hand, health workers are also concerned about adherence given the less frequent contact of PLHIV with the health services [37].
The HIV care and treatment service coverage indicated ART coverage is 74.6%, and viral load testing coverage is about 60% with 87.5% viral suppression among those who received viral load testing [29]. The national average for the first, second and third 90’s for urban Ethiopia is 72%, 71% and 70.1%, respectively. VLS among 15-64 years of age HIV-positives in urban areas is close to the target (70.1%) but varies by age, sex and region. VLS is distinctly lower at 48.2% in youth 15-24 compared to the adult above 25 years of age. The status of the three 90’s for Addis Ababa is below the national urban average. Status of the three 90’s in Addis Ababa for the age group 0-64 years is lower than the national average which is: 65.2 % for the 1st 90, 63.3 % for the 2nd 90 and 58.2% of all PLHIV had VLS with viral load level of <1000 copies/ml [3]. In Addis Ababa, the total number of clients on ART were 94,240 and 3,616 were newly enrolled during the reporting period. The retention at 12 months was 87% [29, Figure 5].
The Addis Ababa Mortality Surveillance Program using burial surveillance with verbal autopsy method [41] to identify AIDS and other causes of death showed that HIV/AIDS mortality is higher among females (12.1%) as compared to males (9.5%). In Addis Ababa from 2007-2010, an overall declining trends of AIDS related mortality was observed. However, starting 2010 onwards it seems stabilized (Figure 6).