Background
Methods
Systematic review
Selection criteria
Quality assessment
Criterion 1: Research question
|
Paper is based on a clearly defined research question, which is clearly discussed and referenced throughout the paper. |
Criterion 2: Internal Validity
|
The study design was appropriate for the research question and stated study objectives. Selection bias has been minimised; confounding factors have been identified and/or controlled; explanatory variables are based on sound scientific principles; outcome measures are complete and reliable. |
Criterion 3 Clarity of Results
|
Results well described and clear appropriate analytical methods used. The precision of association is given or calculable and is meaningful. |
Criterion 4: External Validity
|
Source population is well described and the eligible population represent the source population. Selected participants represent eligible population and the results are consistent with results from other studies. The study results are generalisable to the source population. |
Criterion 5: Strength of Association and Statistical Significance
|
The study sufficiently powered and precise outcomes have been measured. There are narrow confidence intervals and/or low p-values |
Data extraction and analysis
Member states survey
Results
Study reference | Study type | Country | Population | Methods | Sample size |
---|---|---|---|---|---|
Probable country of infection and Estimates of incident infection
| |||||
Aggarwal et al. (2006) [32] | CS | UK | Black African, white UK-born, and black Caribbean patients | Review of key epidemiologic data obtained from the medical records or from patient’s physician | 344 (total) 154 (black African) 42 (black Caribbean) |
Burns et al. (2009) [38] | CS | UK | HIV-positive Africans within 12 months of initial HIV diagnosis and aged 18 years or more | Data for all respondents to survey ranked for likelihood of acquisition in the UK or abroad | 263 |
del Amo et al. (2011) [31] | Systematic review | Europe | Migrant populations/Ethnic minorities | Literature review of the five main databases of articles in English 2005 -2009 | 37 articles |
Dougan et al. (2005) [39] | Surveillance | UK | BME MSM newly diagnosed with HIV in E&W between 1997 and 2002 | Review of data from two national HIV/AIDS surveillance systems. Undiagnosed HIV prevalence examined by world region of birth | 1040 |
Dougan et al. (2004) [40] | Surveillance | UK | Black Caribbean adults | Analysis of voluntary confidential reports of new diagnoses received from virologists and clinicians | 528 |
Dougan et al. (2005) [15] | Surveillance | UK | MSM | Analysis of reports of diagnoses from laboratories (since 1985) and clinicians (since 2000) | 6386 MSM (total) |
Hamers & Downs (2004) [41] | Surveillance | Europe | People living with diagnosed HIV in 12 European countries | Review of HIV/AIDS surveillance databases maintained by EuroHIV network | 542,380 (total) 14,077 (migrants from countries with generalised epidemic) |
Lot et al. (2004) [14] | Surveillance | France | Newly diagnosed HIV positive men and women | Analysis of HIV reports confirmed by laboratories; supplemented by epidemiological and clinical data | 1301 |
Pezzoli et al. (2009) [12] | CS | Italy | All adult migrants from a non–EU country registered at primary healthcare centres | Structured questionnaire; included HIV testing; conducted in three cities: Brescia, Rome, Palermo | 3003 (total) 674 (sub Saharan Africans) |
Rice et al. (2012) [18] | Surveillance | UK | Heterosexual adults born abroad and diagnosed with HIV in the UK | National surveillance data analysed; year of infection assigned based on mathematical model | 10,612 (total) 9065 (black African) |
Rice et al. (2014) [19] | Surveillance | UK | Newly diagnosed heterosexual adults seen in care in the UK | National surveillance data analysed for trend changes in probable country of infection. | 37,984 (total) 22,524 (black African born abroad) |
Semaille et al. (2008) [13] | Surveillance | France | Newly diagnosed HIV positive men and women | Analysis of all mandatory anonymous HIV case reports mid-2003 -2006 | 10,855 (total) 2,511 (confirmed recent infections) |
Sinka K et al. (2003) [4] | Surveillance | UK | People diagnosed with HIV | Analysis of voluntary confidential reports of new diagnoses received from virologists and clinicians | 48,226 (total) 8960 (probably acquired in Africa) |
Staehelin et al. (2004) [42] | Retrospective cohort | Switzerland | All migrant patients 1984-2000 | Single centre retrospective cohort: Time of HIV-infection estimated using CD4 cell count, CD4 cell decline over time and plasma RNA level | 1215 (total) |
Valin, et al. (2004) [43] | CS | France | Sub Saharan Africans, aged 18+ presenting with HIV at outpatient or inpatient appointments | Structured questionnaire collecting socio-demographic & clinical data | 250 |
von Wyl V et al. (2011)* [20] | Prospective cohort | Switzerland | Patients who received their HIV diagnosis between 1 January 1996 and 31 December 2009 | Phylogenetic analysis – additional demographic data from the Swiss HIV Cohort Study database | 1143 individual infected with HIV-1 subtypes A, C,CRF AE, AG |
Xiridou et al. (2010) [16] | Mathematical model | Netherlands | African migrants, Caribbean migrants, and ‘general’ Dutch population | Model parameterized using data from several surveys including two national surveys | N/A |
Xiridou et al. (2011) [17] | Mathematical model | Netherlands | African migrants, Caribbean migrants, and the remaining ‘general’ Dutch population | Model describes transmission of HIV in heterosexual partnerships | N/A |
Evidence of sexual mixing
| |||||
Elford et al. (2007) [26] | CS | UK | Patients diagnosed HIV infection aged 18+ years | Self-administered questionnaire to patients in six east London public hospitals | 1687 (total) 704 (black African heterosexual) 112 (non-white MSM) |
Holguin et al. (2007) [21] | CS | Spain | Individuals newly diagnosed with HIV-1 infection between 1998 and 2004 | Chart review and data analysis | 429 (total) 87 (foreign born) |
Kramer (2008) [29] | CS | Netherlands | Surinamese and Antillean migrants (incl. 2nd gen) aged 16–70 years | Structured questionnaire administered in social venues | 1938 |
Lai (2013) [24] | CS | Italy | HIV positive patients attending clinical centres | Phylogenetic analysis | 254 (total) 114 (Italy) 60 (Africa) 12 (South America) 4 (South East Asia) 64 (other/unknown) |
Marsicano et al. (2013) [28] | CS | France | Sub Saharan Africans, aged 18–49 living in the Ile-de-France | Interviewer administered face-to-face questionnaire | 1874 (total) 973 (women) 901 (men) |
Rivas (2013) [25] | Prevalence study | Spain | Migrants from Equatorial Guinea (EG) aged >16 seen for first consultation in in clinic 2002-2008 | Analysis HIV & viral hepatitis prevalence among EG migrants compared to migrants from SSA | 1493 (total) 1220 (Equatorial Guinea) 276 (other SSA countries) |
Snoeck et al. (2002) [22] | CS | Belgium | Patients with diagnosed HIV | Phylogenetic analysis & retrospective review of patient records | 41 (total, 18 % African) |
Tramutoet al (2013) [23] | Surveillance | Italy | ART Naïve HIV positive patients attending care | Laboratory hospital surveillance data analysed | 155 (total) 113 (native Sicilian) 42 (migrants) |
van Veen et al. (2009) [27] | CS | Netherlands | Migrants from Surinam, Antilles, Cape Verde & Ghana, aged 18-55 | Individuals recruited in community setting so self-complete structured questionnaire | 1680 |
Study reference | Results/Outcomes | Quality scores | Limitations |
---|---|---|---|
Aggarwal et al. (2006) [32] | Distribution of non-B subtypes: Black African 149/154; Black Caribbeans13/42 • Country of infection B subtypes: Black African 3 UK (n = 5); Black Caribbean 13 UK, 5 Caribbean, 11 undetermined (n = 29) • Country of infection non-B subtypes: Black African 98 before migration, 14 UK, 34 undetermined (n = 149); Black Caribbean: 13/13 UK •Overall infected in the UK: Black African 17/154 Black Caribbean: 26/42. | SD: +++ V: +++ G: +++ OS: +++ | Poor test specificity differentiating between subtypes B and D likely to be a significant factor in limiting the use of serotyping among black Africans. No standardized prospective data collection. Designation of likely country of infection based, on poorly documented variables from medical records (possible reporting bias). Findings may represent an underestimate of number of infections acquired through overseas travel. |
Burns et al. (2009) [38] | Country of Acquisition: 61(23.2 %) “Definitely acquired HIV abroad”; 44 (16.7 %) “Probably abroad”; 16 (6.1 %), “Definitely acquired in the UK”; 142 (54.4 %) ‘Indeterminate cases’. All cases (determinate and indeterminate): UK acquired: 25.1 % - 35.4 %, Acquired abroad 60.8 % - 67.3 %. | SD: +++ V: +++ G: +++ OS: +++ | Acquisition of HIV in UK negatively associated with late presentation therefore findings may underestimate infection acquired in UK. Sample only includes Africans living in London, therefore may not be representative to all HIV positive Africans in the UK. |
del Amo et al. (2011) [33] | Most studies among sub-Saharan African migrants report infections acquired in the country of origin; includes studies in Denmark, Spain, UK & Canada. Some evidence of post-migration HIV acquisition in EU countries (includes Latin American MSM & other migrant populations); evidence of acquisition during return visits to country of origin. | SD: +++ V: +++ G: +++ OS: +++ | The search strategy includes only articles in English; research in other languages, the grey literature and conference abstracts not included. |
Dougan et al. (2005) [39] | New diagnosis: probable country of infection reported for 38 % of BME MSM. Born outside and infected in the UK: 38 % of black African (BA), 27 % of black Caribbean (BC) • Born and infected outside the UK: 50 % of BA, 37 % of BC • Undiagnosed prevalence % (CI): All BME 4.3 (4.1-4.5), BC 4.6 (3.3-6.2), BC 15.8 (11.7-20.8). | SD: +++ V: +++ G: +++ OS: ++ | Incomplete data in some variables (country of birth and infection in the new diagnosis study). Heterogeneous population compared for each of the outcomes. |
Dougan et al. (2004) [40] | Heterosexual men infected in UK: 37 (country of birth unknown: 24) • Heterosexual women infected in UK 66 (country of birth unknown: 31) • MSM infected in the UK 48 (Country of birth unknown: 24). | SD: +++ V: +++ G: +++ OS: +++ | Heterosexual transmission of HIV among Caribbeans within UK likely to be underestimated. If exposure to HIV has occurred in more than one country, the country with the highest prevalence will be assigned the likely country of infection. Missing data about country of birth may have had an impact on the review. |
Dougan et al. (2005) [15] | Probable country of infection MSM born in Africa: Infected in Africa =46.4 %; UK = 45.5 %; Other = 8.2 % • MSM born in Caribbean: Infected in Caribbean = 50.0 %; UK = 42.6 %; Other: 7.4 % • MSM born in Asia: Infected in Asia = 30.6 %; UK = 61.2 %;Other = 8.2 %. | SD: +++ V: ++ G: +++ OS: ++ | Country of Birth unknown for almost 50 % of sample; results may underestimate the number of diagnosis among MSM born abroad & proportion of MSM infected abroad because of clinician and patient reporting bias. Unclear whether permanent migrants or visitors. |
Hamers & Downs (2004) [41] | Most HIV infections diagnosed in migrants probably acquired in country of origin. UK: 75 % of heterosexual infections diagnosed in 2002 probably acquired in Africa • Germany: new diagnoses increased in 2002 among heterosexuals from countries with generalised epidemics, majority infected in their countries of origin • Sweden: > 80 % of HIV infections acquired through heterosexual contact were probably acquired abroad • Denmark: 37 % of all diagnoses in 2002 were among migrants; 59 % infected through heterosexual contact, most infected abroad. • Belgium: 4016/5515 of infections ever diagnosed in heterosexuals were in non-Belgians—mostly Africans. | SD: +++ V: ++ G: +++ OS: +++ | Based on secondary data. No clear that reviewed literature was quality assessed. |
Lot et al. (2004) [14] | Patients infected through heterosexual transmission: 690 patients (47 % from SSA). No data on the nationality or ethnicity of MSM • Proportion of recent infections among heterosexuals: SSA 26 % vs France 44 % (p = 0.0001). | SD: +++ V: +++ G: +++ OS: +++ | Based on preliminary data. Late reporting and longer follow-up periods could show larger differences in recent infections. Additionally, the authors do not report on the ethnicity of patients just country of origin. No data on the nationality of MSM or IDUs. |
Pezzoli et al. (2009) [12] | HIV-1 detected in 0.97 of participants (95 % CI 0.90–1.2) • Avidity Testing (n = 27) Six (22.2 %) probably acquired in Italy by migrants from: SSA (n = 3), eastern Europe (n = 2), and Latin America (n = 1). All 4 (14.8 %) who acquired infection before migration were migrant SSA. | SD: +++ V: +++ G: +++ OS: ++ | Recruitment was not evenly balanced between centres; the study acceptance rate was 73.6 %. Place of infection could not be determined for 17 (63.0 %) of 27 persons (this is presumably due to recall bias). Very small sample size for avidity testing. |
Rice et al. (2012) [18] | Probable place of infection: 33 % (26 %-39 %) acquired HIV while living in the UK • Percentage increased from 24 % (16 %-39 %) in 2004 to 46 % (31 %-50 %) in 2010 (p < 0.01). | SD: +++ V: +++ G: +++ OS: +++ | CD4 cell method may over estimate UK as place of infection since the longer a person is in the UK, the more likely they are to have been assigned UK as place of infection, despite travel habits and behaviour. Missing data for approximately 40 % of eligible adults. Unclear robustness of model used to calculate date of infection. |
Rice et al. (2014) [19] |
Probable country of infection: The percentage of BA heterosexual adults probably acquiring HIV in the UK increased from 9.1 % (276/3019) in 2002 to 37 % (444/1202) in 2011 (P < 0.01).
| SD: +++ V: +++ G: +++ OS: +++ | Definition of heterosexual is based on probable route of infection as reported by clinics, and there is potential for misclassification. (See above for limitations in assigning country of infection). |
Semaille et al. (2008) [13] | Proportion recent infections: French heterosexuals 27 %, SSA heterosexuals 8.4 %. OR for French (Ref.SSA): 3.95 (3.36-4.64). | SD: +++ V: +++ G: +++ OS: ++ | Difficult of interpret available data. |
Sinka K et al. (2003) [4] | Probable Country of Infection for black African and black other (n = 7741): UK or Rest of Europe 523/ (6.76 %); Africa: 6163 (79.6 %). | SD: +++ V: ++ G: +++ OS: ++ | Limitations of surveillance data due to missing variables, particularly country of birth, ethnicity and country of acquisition. Heterosexual transmission underestimated due to how this data is recorded. |
Staehelin et al. (2004) [42] | Infection pre- migration (“with great certainty “or “presumably”) SSA: 78 (86.5 %) SEA: 13 (50.5 %) • Infection post-migration SSA: 2 (2.2 %) SEA: 6 (25 %). | SD: +++ V: +++ G: +++ OS: +++ | Source of infection not analysed because of poor availability of data. Sample size of SSA: only 92 patients. The robustness of the methodology for “Time of HIV-infection and migration” was not discussed directly; authors cite evidence there is no difference in the natural history of HIV infection in patients of differing ethnicity. |
Valin, et al. (2004) [43] | Probable country of infection: 44 % SSA, 29 % France, 27 % unknown country. | SD: ++ V: ++ G: +++ OS: ++ | Proportion of patients who arrived in France after 1999 (34 %) overestimated. Study population includes naturalized citizens; is not representative of the entire the HIV-positive population originating from sub-Saharan Africa and living in France. Some questionnaire items may be subject to reporting bias. |
von Wyl V et al. (2011)* [20] | Proportion of non-B subtype viruses: Increased from 22 % in 1996 to 33 % in 2009 • Over 80 % of all non-B infections among Africans may have originated outside of Switzerland: 20 % of all sequences from this group were contained within Swiss-specific clusters. | SD: +++ V: +++ G: +++ OS: +++ | Sampling bias (substantially alleviated by the high representativeness of the SHCS), linkage between individuals can never be established with absolute certainty. |
Xiridou et al. (2010) [16] | “New” Infections (Estimated 1.50 new infections/100,000 people/year): 53 % of new infections among migrant Africans (32 % acquired in The Netherlands), 26 % among Caribbean Migrants (18 % acquired in the Netherlands). | SD: +++ V: +++ G: +++ OS:++ | Data used in model taken from different studies, therefore difficulty to assess research quality. |
Xiridou et al. (2011) [17] | Incidence of HIV among heterosexuals:1.50 new infections per 100,000 individuals per year in 2010 (infections occurring as a result of sexual contacts in The Netherlands or during trips of migrants to their home country).• Sub-group analysis 67.18 new infections/100,000 African migrants, 12.12 /100,000 Caribbean migrants, 0.47/100,000 Dutch local. | SD: +++ V: +++ G:N/A OS: ++ | Model does not take into account differences between 1st and 2nd generation migrants. |
Elford et al. (2007) [26] | Assortative Mixing: 80 % of BA heterosexual men and women reported sexual partners were also BA. | SD: +++ V: +++ G: +++ OS: +++ | High-risk sexual behaviours may be underreported because of social desirability bias or because of the associated stigma. Selection bias from response rate; not broadly representative of those living with HIV as sample exclusively from London. |
Holguin et al. (2007) [21] | Prevalence of HIV-1 non-B subtypes and recombinants 40 (28.8 %) samples, Migrants: 28 (53 % of all migrants in study - 75 % acquired their infection through sexual contact with people born in African) Native Spaniards: 12 (13.7 % of all native Spaniards in the study - 4 most likely acquired HIV-1 through unprotected sex in sub Saharan Africa; 3 with Africans residing in Spain; 2 with partners from Spain; 2 sexual contact with sex workers and 1 MSM with multiple partners). | SD: + V: ++ G: + OS: ++ | Number of non-B subtypes among newly diagnosed native individuals is biased and could be underestimated. Subtyping of a large number of samples would be required to determine if the incidence of HIV- 1 non-B variants is increasing over time in the newly diagnosed native population. |
Kramer (2008) [29] | Sexual mixing (sexual partner with differing ethnicity) High risk = 42 % (84 % unprotected), Moderate risk = 59 % (no data), Low risk = 66 % (no data). | SD: +++ V: ++ G: ++ OS: ++ | Convenience sample and social desirability bias Includes both first generation and second generation migrant with no distinction drawn between them in analysis. |
Lai (2013) [24] | Sexual mixing: 50 % of men and 47 % of women reported partners born in different countries. Most partners from a different African country (men 19 %; women 20 %). | SD: + V: ++ G: + OS: ++ | Convenience sample; low response rate (14 %); desirability bias; data does not support some conclusions reached in the discussion. |
Marsicano et al. (2013) [28] |
Factors associated with epidemiological networks: Country of origin independently associated with the probability of isolates being detected in clusters OR for Italian vs. African origin: 5.3, 95 % CI: 2.2–12.9, P < 0.001; South American vs. African origin: 25.6, 95 % CI: 2.0–162.0, P < 0.001.
| SD: +++ V: ++ G: ++ OS: +++ | ARCA database has relative lack of country of origin and risk factor information for some patients which could have weakened the strength of the detected associations. Clusters were probably underestimated and incomplete due to missing data. |
Rivas (2013) [25] | Proportion of B subtypes: Total 4 (3.3 %); Migrants from Equatorial Guinea 2(2.9 %); sub Saharan Africa; 1 (5.6 %) P = 0.47. | SD: ++ V:++ G:++ OS:++ | Sample disproportionately represented by women and elderly people so might not reflect wider Equatorial Guinea community. Poor justification for some conclusions e.g. low CD4 cell counts = imported infections. |
Snoeck et al. (2002) [22] | Country of Infection: 45 % Africa, 2 % South-America, 6 % rest of Europe or USA. • Origin of the virus (P = 0.0004): Belgium (19) Subtype B = 16; Non-B = 3; Other (22) Subtype B = 3; Non-B = 19 • No association between nationality and subtype (P = 0.06). | SD: +++ V: ++ G: ++ OS: ++ | Small sample size. Disproportionate numbers of female non-Belgians than male non-Belgians in the study population may have introduced a bias. |
Tramutoet al (2013) [23] |
Proportion of non-B subtypes:, 107 (69.0 %) were infected with B strains, whereas non-B subtypes were detected in 48 subjects (31.0 %).Only 9.7 % (n = 11/113) of Italian-born subjects were infected with non-B HIV-1 variants. 3 (7.9 %) Africans were infected with B subtypes.
| SD: +++ V: +++ G: ++ OS: +++ | Data does not support some of the conclusions. Authors do not acknowledge limitations of surveillance data. |
van Veen et al. (2009) [27] | Sexual mixing: Partners from the same ethnicity 59 %, Partners with differing ethnicity 41 % (15 % with Dutch partners; 21 % with partners of “Other” ethnicity; 5 % with both Dutch and “Other”). | SD: +++ V: +++ G: ++ OS: +++ | Desirability bias; convenience sample; auto-selection bias. |
Probable country of HIV acquisition and estimates of incident HIV infection
Author and year
|
Country/City/Region
|
Profile
|
Proportion
|
---|---|---|---|
Aggarwal I (2006) [32] | London (UK) | Black African | 11 |
Burns FM (2009) [38] | London (UK) | African | 25 – 35 |
Dougan S (2005) [15] | England and Wales | MSM black African | 39 |
Dougan S (2005) [39] | England and Wales | MSM born in Africa | 46 |
Rice BD (2012) [18] | England, Wales, Northern Ireland | Black African | 29 |
Rice BD (2014) [19] | England, Wales, Northern Ireland | Black African | 37 |
Sinka K (2003) [4] | United Kingdom | Black African | 3 |
Staehelin C (2004) [42] | Switzerland | Sub-Saharan African | 2 |
Valin, N (2000) [43] | Ile-de-France (France) | Sub-Saharan African | 29 |
Xiridou M (2010) [16] | Netherlands | African migrants | 32 |
Author and year
|
Country/City/Region
|
Profile
|
Proportion
|
---|---|---|---|
Aggarwal I (2006) [32] | United Kingdom | Black Caribbean | 62 |
Dougan S (2004) [40] | England, Wales, and Northern Ireland | Black Caribbean male heterosexuals | 24 |
Dougan S (2004) [40] | England, Wales, and Northern Ireland | Black Caribbean women | 41 |
Dougan S (2004) [40] | England, Wales, and Northern Ireland | Black Caribbean MSM | 62 |
Dougan S (2005a) [15] | England and Wales | MSM black Caribbean | 61 |
Dougan S (2005b) [39] | England and Wales | MSM born in Caribbean | 43 |
Dougan S (2005b) [39] | England and Wales | Asia-born MSM | 61 |
Pezzoli MC (2009) [12] | Italy | Sub Saharan African, Eastern Europe and Latin America | 22 |
Rice B D (2012) [18] | England, Wales, Northern Ireland | Black Caribbean | 59 |
Staehelin C (2004) [42] | Switzerland | Southeast Asian | 25 |
Xiridou M (2010) [16] | The Netherlands | Caribbean migrant | 18 |