Literature DB >> 29451875

Linkage to HIV care following diagnosis in the WHO European Region: A systematic review and meta-analysis, 2006-2017.

Sara Croxford1,2, Zheng Yin1, Fiona Burns2,3, Andrew Copas2, Katy Town1,2, Sarika Desai1, Andrew Skingsley1, Valerie Delpech1.   

Abstract

BACKGROUND: Timely linkage to care after HIV diagnosis is crucial as delayed access can result in poor patient outcomes. The aim of this systematic review was to synthesise the evidence to achieve a better understanding of what proportion of patients are linked to care and what factors impact linkage.
METHODS: Systematic searches were run in six databases up to the end of February 2017. The grey literature was also reviewed. Inclusion criteria were: sample size ≥50 people (aged ≥15), from the WHO European Region, published 2006-2017 and in English. Linkage to care was defined as a patient seen for HIV care after diagnosis. Study selection, data extraction and quality assurance were performed by two independent reviewers. Random-effects meta-analysis was carried out to summarise linkage to care within three months of diagnosis.
RESULTS: Twenty-four studies were included; 22 presented linkage to care data and seven examined factors for linkage. Linkage among 89,006 people in 19 countries was captured. Meta-analysis, restricted to 12 studies and measuring prompt linkage within three months, gave a pooled estimate of 85% (95% CI: 75%-93%). Prompt linkage was higher in studies including only people in care (94%; 95% CI: 91%-97%) than in those of all new diagnoses (71%; 95% CI: 50%-87%). Heterogeneity was high across and within strata (>99%). Factors associated with delaying or not linking to care included: acquiring HIV through heterosexual contact/injecting drug use, younger age at diagnosis, lower levels of education, feeling well at diagnosis and diagnosis outside an STI clinic.
CONCLUSION: Overall, linkage to care was high, though estimates were lower in studies with a high proportion of people who inject drugs. The high heterogeneity between studies made it challenging to synthesise findings. Studies should adopt a standardised definition with a three month cut-off to measure prompt linkage to care to ensure comparability.

Entities:  

Mesh:

Year:  2018        PMID: 29451875      PMCID: PMC5815583          DOI: 10.1371/journal.pone.0192403

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Linking people who test HIV-positive to appropriate specialist services is a key step in the HIV patient pathway. Delayed linkage to HIV care is associated with delayed receipt of antiretroviral medications, faster disease progression and increased mortality.[1, 2] In addition to the impact on the health of the individual, engagement in HIV care plays an important public health role in reducing the onward transmission of HIV.[3] Monitoring is crucial so that missed opportunities for linking patients to HIV services following diagnosis can be identified and gaps closed.[4] However, the variety of definitions of linkage to care applied in the literature makes it difficult to compare measurements across countries and studies.[5] A standard working definition of linkage to care would enable consistent monitoring of the quality of HIV care and patient clinical outcomes. In May 2015, the World Health Organization (WHO) released strategic information guidelines in an effort to consolidate and prioritise key indicators to monitor national and global response of the health sector to HIV.[4] Linkage to HIV care was defined as the duration of time starting with HIV diagnosis and ending with enrolment in HIV care or treatment. This definition was endorsed and further operationalised following consultation with European experts brought together by the European Centre for Disease Prevention and Control (ECDC) and the European Union (EU) co-funded OptTEST (Optimising testing and linkage to care for HIV in Europe) project.[6] A person was considered linked to care if seen for specialist HIV care after diagnosis, measured as the time between the HIV diagnosis date and first clinic attendance date/CD4 count date/viral load date/HIV treatment start date, depending on data availability. A time parameter was added to the WHO definition and prompt linkage was defined as the proportion of patients diagnosed with HIV linked to care within three months. The aim of this systematic review was to synthesise the evidence to achieve a better understanding of linkage to care following HIV diagnosis in the WHO European Region. The specific objectives were to: i) estimate prompt linkage to care from studies which utilised the standard ECDC/OptTEST definition and ii) determine what factors impact linkage.

Methods

A protocol was developed prior to commencement of the systematic review and published on PROSPERO, an international prospective register of systematic reviews.[7]

Study identification

Searches were carried out on the 27th of February 2017 in Embase (Ovid 1974 –present), MEDLINE (Ovid MEDLINE(R) Epub Ahead of Print, In-Process & Other Non-Indexed Citations), PubMed, Cochrane Database of Systematic Reviews, PsycINFO (PsycINFO 1806 to February Week 4 2017) and Web of Science Core Collection. Database searches covered HIV, linkage/entry/referral to care and Europe. Specific search strings can be found in Tables A-F in S1 Appendix. Conferences abstracts from the International AIDS Society conference (IAS), International AIDS conference (AIDS), European AIDS Clinical Society conference (EACS), HIV Drug Therapy conference Glasgow, HIV in Europe conference and the Conference on Retroviruses and Opportunistic Infections (CROI) were reviewed for relevant studies. In addition, the websites for the WHO, the Joint United Nations Programme on HIV/AIDS (UNAIDS) and ECDC were searched for relevant online reports.

Study inclusion and exclusion criteria

To be included in the systematic review, studies had to be in English, set in the 53 countries of the WHO European Region, have a sample size of at least 50 people and be published between the 1st of January 2006 and 27th of February 2017. The 2006 date restriction reflects the release of the WHO patient monitoring guidelines for HIV care and antiretroviral therapy (ART), outlining essential minimum standard HIV care and ART patient monitoring data elements.[8] Observational studies using data collected for surveillance or research purposes and qualitative studies including quantitative outcome data on linkage to care were included. Intervention evaluation studies were also included where linkage to care was reported. Studies of people <15 years of age were excluded. Studies combining adults and paediatric/adolescent patients were included only if over 50% were aged ≥15. The definition of linkage to care applied at full-text review stage was: a patient seen for HIV care (measured by first clinic attendance date/CD4 count/viral load measurement/treatment start date) after diagnosis. A CD4 count, viral load or evidence of treatment initiation after diagnosis was considered a proxy for entry into care.

Study selection

Two independent reviewers screened titles and abstracts and assessed the eligibility of accepted studies through full-text review. Disagreement was resolved through consensus or independent adjudication by a third party. Reference lists of studies selected for inclusion were hand-searched with any relevant studies not previously identified, screened and full-texts reviewed. For included studies that required further clarification regarding the reported data or definition of linkage, study authors were contacted by email. A maximum of two attempts to contact the corresponding and/or senior author were made. In some cases, data were updated by the authors.

Data extraction and quality assessment

Data were extracted from the final list of included studies by one reviewer and all results checked by a second reviewer. Data were entered into a standardised data collection form on Microsoft Access 2010, capturing information on the publication, the study design, population, outcomes and risk of bias. Where the study included data from outside the review period (prior to 2006), only data on people diagnosed from 2006 onwards were extracted. Studies were categorised into geographical regions based on WHO/ECDC classifications.[9] Quality assessment of the included peer-reviewed articles was carried out by two independent reviewers following established criteria, adapted to cover longitudinal study designs.[10]

Statistical analysis

Heterogeneity was quantified using the Q statistic and I2 statistic; I2 values around 25%, 50% and 75% were taken to represent low, medium and high heterogeneity, respectively. A random effects model of single proportions with binomial exact confidence intervals (CI) was used to aggregate results for prompt linkage to care at three months. Proportions were stabilised using the Freeman–Tukey double arcsine transformation. For data not combined in meta-analyses, such as linkage to care at one month and six months, individual results were compared in descriptive analyses. Data were analysed separately based on care status of the study population. Specifically, whether the denominator for each study included: i) all new diagnoses, including those not linked to care or ii) only people in care with care information available (e.g. people with CD4 data). No population subgroup analyses were carried out (e.g. by risk group) due to the relatively small number of studies. There were so few published studies; publication bias could not be assessed using a funnel plot. Risk factors for poor linkage to care could not be synthesised using meta-analysis given the variety of outcomes explored in the different studies (e.g. risk factors for those never linked, risk factors for delayed linkage etc.). All statistical analyses were carried out using Stata v13.0 (College Station, Texas, USA).

Results

The database searches retrieved a total of 6,968 records (Fig 1). In addition, 119 abstracts were identified through the search of the grey literature. After deduplication, 4,707 unique records underwent title/abstract screening, 118 records were selected for full-text review and 42 studies were included. Reasons for exclusion can be seen in Fig 1. Reference lists from these included studies were scanned and 111 of the 566 references were deemed relevant. However, after deduplication, screening and full-text review, only two further studies were included.
Fig 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram.

Of the 44 included studies, 30 required clarification from authors. Two authors had no contact information available. Of the 28 authors contacted, 20 replied. Studies for which no reply was received were excluded. A further 11 studies were excluded after clarification. Reasons for rejection can be seen in Fig 1. In total, 24 articles met the eligibility criteria and were included in the review, 12 published articles [J Acquir Immune Defic Syndr. 2013 ">11-22], 10 conference proceedings [23-32] and two reports [33, 34].

Description of linkage to care following diagnosis

All 24 studies presented data on linkage to care following diagnosis (Table 1); however, two studies [20, 31] have been excluded from the descriptive linkage to care analysis as more recent estimates were available from other studies using the same data source.[17, 34] These two studies have been included in the review as they identify risk factors for poor linkage.
Table 1

Characteristics of studies included in the systematic review (n = 24 studies).

Author, yearCountry of studyStudy periodData source and setting of studyStudy populationSample sizeLinkage to care outcome
Chernyshev*, 2017 [24]UkraineJan—Mar 2017Community-based counselling and testing (CBVCT) testing sites in Kyiv and OdessaMen who have sex with men (MSM) newly diagnosed with HIV through rapid testing between January and March 201765First attendance for medical registration at the local AIDS centre after a positive result for rapid HIV testing
Croxford*, 2017 [26]33 WHO European countries2010–2014European HIV surveillanceAdults (aged ≥15 years) diagnosed with HIV from 2010–2014 from WHO European countries that reported using the revised template—excluding those previously diagnosed or in care, deaths within 3 months of diagnosis and/or those with missing diagnosis/CD4 information60,139First attendance for specialist HIV care after diagnosis, as determined by the date of the first CD4 count after diagnosis
Freeman-Romilly, 2017 [14]United Kingdom2008–2012Terrence Higgins Trust (THT) CBVCT with follow up at sexual health clinicsPeople who had received a reactive HIV test in a THT community clinic between 2008 and 201274First attendance at an HIV clinic after diagnosis through community testing, using the date of the first reported CD4 as a proxy for care entry
Girometti, 2017 [15]United KingdomMay 2014- Oct 201556 Dean Street sexual health clinic in LondonAll individuals diagnosed with acute HIV infection between May 2014 and October 2015 at 56 Dean Street in London and starting ART at first appointment113Presence of at least one CD4+ T-cell count or viral load determination within 12 weeks of HIV diagnosis
del Campo*, 2016 [27]Spain2015–2016Ramón y Cajal Hospital, MadridAll first positive HIV results obtained in the Microbiology Laboratory Department of Ramón y Cajal Hospital from 01/01/2015 to 31/12/2016112First visit to the Infectious Service for HIV / AIDS after first HIV-positive serology
Elliot, 2016 [12]United Kingdom2012–2014HIV home sampling service with follow-up at a London sexual health serviceMSM testing positive through free home HIV sampling service (‘Dean Street at Home’ advertised via the same social media used to find sexual partners) confirmed and seen for care at Dean Street sexual health clinic82First attendance for HIV specialist care after diagnosis
Fernandez-Lopez, 2016 [13]Denmark, Italy, Lithuania, Spain, Latvia2016††CBVCT sites across EuropePeople with a reactive HIV test at CBVCT in 2016112Entry into health care or follow-up by an HIV specialist or in an HIV unit after diagnosis at a CBVCT facility
Kirwan*, 2016 [34]United Kingdom2015National HIV surveillanceAll adults (≥15 years of age at diagnosis) newly diagnosed with HIV in the UK in 2015 with a CD4 count after diagnosis reported.5,149Baseline CD4 count (conducted as part of initial assessment in care) after diagnosis
Kowalska, 2016 [18]Poland2010–20133 CBVCT sites in Central PolandPeople who were diagnosed HIV-positive in CBVCTs between 1/1/2010 and 31/12/2013232First visit in the HIV clinic after testing HIV-positive
Neduzhko‡‡, 2016 [20]UkraineOct—Dec 2011Odessa AIDS CentrePatients (aged ≥18 years) recently registered for HIV care at Odessa AIDS centres able to provide a date of his or her positive HIV test result200Registered at an HIV care centre following diagnosis
Chkhartishvili*, 2015 [25]Georgia2008–2012National HIV surveillanceAdult (aged ≥18 years) HIV-infected citizens of Georgia diagnosed in Georgia from 2008–20121,563At least one documented clinical visit (CD4 cell count or HIV-1 viral load measurement) after diagnosis
Michie*, 2015 [28]United KingdomAug 2013- July 2014Outpatient clinics in NHS Greater Glasgow and Clyde, ScotlandOutpatients in NHS Greater Glasgow and Clyde health board with a positive HIV result between 01/08/13–31/07/1464Seen by HIV physician after diagnosis
Raffo*, 2015 [29]Spain2009–2012,2014Reference centre in infectious diseases Huelva ProvinceNew diagnoses of HIV made between 2009 and 2012 in Huelva province compared to new diagnoses made in 20142009–2012: 176; 2014: 55Patient went to a scheduled appointment to the HIV unit or if the patient has documented visit in another hospital after diagnosis
Van Beckhoven, 2015 [21]Belgium2007–2010National HIV surveillanceIndividuals diagnosed with HIV in Belgium between 2007 and 20104,117At least one viral load or CD4 count recorded within 1 year of HIV diagnosis
Van Sighem*, 2015 [30]Netherlands2014††ATHENA national HIV cohortPeople diagnosed with HIV in the Netherlands in 2014 and registered in the ATHENA national observational HIV cohort858First attendance for HIV care and registration in the HIV clinical cohort after diagnosis
van Veen, 2015 [22]NetherlandsFeb 2009—Jan 2012STI clinics in Amsterdam, Rotterdam and ArnhemFrom February 2009 until January 2012, all patients testing HIV-positive for the first time at STI clinics in Amsterdam, Rotterdam and Arnhem310First consultation at an HIV treatment centre after diagnosis
Zakowicz*, 2015 (32]Russia, Ukraine, Georgia, Greece, Italy, Armenia, IrelandNov 21–28 201412 CBVCTs across EuropePeople attending 12 community-based organisations during HIV testing week 2014 in 11 countries138Attendance at an HIV care and treatment facility two times for medical care following receipt of an HIV+ diagnosis or receipt of CD4 results
Cuzin, 2013 [11]France2006–2010HIV reference centres in 8 regionsPatients with a first HIV diagnosis between 01/01/2006-31/12/2010 that had at least 1 medical encounter in 1 of 8 HIV reference centres in France2,670First HIV diagnosis during the study period that had at least 1 medical encounter in that HIV reference centre
Hall, 2013 [16]Italy, Spain2010National HIV surveillancePeople newly diagnosed with HIV in 7 regions of Spain in 2010 or in 18/21 regions of Italy in 2010 where CD4 data availableItaly: 3,245; Spain: 1,519≥1 CD4 or viral load test within 3 months of HIV diagnosis
Kiriazova, 2013 [17]Ukraine2006–2010Odessa AIDS CentrePatients (aged ≥ 15 years) enrolled in HIV medical care at the Regional AIDS Centre in Odessa Region, Ukraine from 2006 to 20106,101Enrolment in HIV care after diagnosis
Meulbroek, 2013 [19]Spain2007–2012Barcelona Checkpoint CBVCTHIV cases in MSM in Catalonia detected at BCN Checkpoint between 2009 and 2012495HIV unit referral of individuals newly diagnosed with HIV
Yin*‡‡, 2012 [31]United Kingdom2010National HIV surveillanceAdults (aged ≥15 years) first diagnosed with HIV in 2010 in the UK reported as part of national HIV surveillance and with a CD4 count after diagnosis reported5,662First attendance for care of patients diagnosed with HIV, with the date of the first CD4 count as a proxy for care entry
Sprague*, 2011 [33]Estonia, Moldova, Poland, Turkey, and Ukraine2010–2011Peer-administered survey**People living with HIV in Estonia, Moldova, Poland, Turkey, and Ukraine who had accessed HIV testing services and received a diagnosisEstonia: 87; Moldova: 403; Poland: 504; Turkey: 100; Ukraine: 1,500Accessing care services (visit to a medical professional for one’s HIV infection) after receipt of an HIV diagnosis
Apea*, 2009 [23]United Kingdom2007Homerton Hospital STI clinic in LondonPatients newly diagnosed with HIV infection between 01/01/2007-31/12/200788First attendance for care at an HIV clinic after diagnosis

*Conference proceedings or reports

**No information on where or how people were recruited

†† Data updated to more recent years after contact with authors

‡ Only included data from 2006 onwards

‡‡ Included in factor analysis only—linkage to care estimates are duplicates

*Conference proceedings or reports **No information on where or how people were recruited †† Data updated to more recent years after contact with authors ‡ Only included data from 2006 onwards ‡‡ Included in factor analysis only—linkage to care estimates are duplicates The 22 included studies covered 19 of the 53 countries from the WHO European Region, with the most studies incorporating data from Western (Belgium, Denmark, France, Greece, Ireland, Italy, Netherlands, Spain and the United Kingdom (UK)) and Eastern Europe (Armenia, Estonia, Georgia, Latvia, Lithuania, Moldova, Russia and Ukraine). Only two studies presented data for Central Europe (Poland and Turkey). One study presented aggregate data for the WHO European Region but did not explicitly state which countries were covered.[26] Data sources and the geographical coverage of data differed between studies (Table 1). Five studies measured linkage using national or European HIV surveillance data.[16, 21, 25, 26, 34] Six studies presented data on linkage following an HIV diagnosis from community-based voluntary counselling and testing (CBVCT) sites,[13, 14, 18, 19, 24, 32] while five studies described linkage from medical settings including sexually transmitted infection (STI) clinics and hospitals.[15, 22, 23, 27, 29] Four studies described retrospective entry of patients already attending HIV clinics.[11, 17, 28, 30] Elliot et al. looked at linkage into care following an HIV-positive self-sampling test [12] and Sprague et al. described linkage among people who had accessed HIV testing services, regardless of type.[33] The linkage experience of a total of 89,006 people was captured across 22 studies. Study sizes ranged from 64 to 60,139, with <250 (range: 64 to 232) in 11 studies and ≥250 (range: 310 to 60,139) in the other 11. Over one third of studies covered a one-year period or less (36%; 8/22), but some covered several years (range: three months-five years). Three studies restricted recruitment to men who have sex with men (MSM) [12, 19, 24] and four specifically stated they only included adults.[17, 25, 26, 34] All other studies did not apply inclusion criteria, other than the study period. Linkage to care by study and time from diagnosis can be seen in Table 2. However, the denominator used to calculate the linkage measure should be considered when making comparisons across studies. Over half of studies (59%; 13/22) measured the timeliness of linkage among those already established in care, excluding anyone with no care information available (e.g. excluding people missing CD4 count data). Within these 13, there were three studies which published linkage among all new HIV diagnoses but had to restrict estimates to those in care to examine the time between diagnosis and care entry.[13, 14, 21] As explained by authors that were contacted, this was most often due to incomplete date information.
Table 2

Linkage to HIV care at 2 weeks, 1 month, 3 months and 6 months after diagnosis: WHO European Region, 2006–2017 (n = 22 studies).

Author, yearCountry of studyLinkage to care denominatorLinked to care within 2 weeks of diagnosisLinked to care within 1 month of diagnosisLinked to care within 3 months of diagnosisLinked to care within 6 months of diagnosis
n%n%n%n%
Chernyshev*‡‡, 2017 [24]Ukraine65--6193.8%----
del Campo*, 2016 [27]Spain112--7163.4%----
Chkhartishvili*, 2015 [25]Georgia1,563----1,22978.6%--
Raffo*, 2015 [29]Spain55--4378.2%5090.9%--
van Veen, 2015 [22]Netherlands259--21583.0%----
Zakowicz*, 2015 [32]Russia, Ukraine, Georgia, Greece, Italy, Armenia, IrelandRussia: 77; Other countries**: 61----Russia: 19; Other countries: 23Russia: 24.7%; Other countries: 37.7%--
Hall, 2013 [16]Italy, SpainItaly: 3,245; Spain: 1,519----Italy: 2,908; Spain: 1,154Italy: 89.6%; Spain: 76.0%--
Sprague*, 2011[33]Estonia, Moldova, Poland, Turkey, and UkraineEstonia: 87; Moldova: 403; Poland: 504; Turkey: 100; Ukraine: 1,500------Estonia: 44; Moldova: 125; Poland: 292; Turkey: 90; Ukraine: 660Estonia: 50.6%; Moldova: 31.0%; Poland: 57.9%; Turkey: 90.0%; Ukraine: 44.0%
Apea*, 2009 [23]United Kingdom888293.2%------
Croxford*, 2017 [26]33 WHO European countries60,139----57,56595.7%--
Freeman-Romilly, 2017 [14]United Kingdom68--6189.7%----
Elliot‡‡, 2016 [12]United Kingdom54--5194.4%5296.3%--
Fernandez-Lopez, 2016 [13]Denmark, Italy, Lithuania, Spain, Latvia63----63100%--
Girometti‡‡, 2017 [15]United Kingdom87----8395.4%--
Kirwan*, 2016 [34]United Kingdom5,1493,85674.9%4,42686.0%4,98196.7%--
Kowalska, 2016 [18]Poland144--9968.8%11781.3%--
Michie*, 2015 [28]United Kingdom642742.2%------
Van Beckhoven, 2015 [21]Belgium3,5231,75549.8%2,49770.9%3,18090.3%--
Van Sighem*, 2015 [30]Netherlands858----85099.1%--
Cuzin, 2013 [11]France2,670--2,13980.1%2,31186.6%--
Kiriazova, 2013 [17]Ukraine6,101--6059.9%2,89447.4%--
Meulbroek‡‡, 2013 [19]Spain448--38185.0%----

* Conference proceedings or reports

**Countries combined with <50 diagnoses each

† Number of people newly diagnosed in care

‡ Number of people that entered in care in the first year following diagnosis with a date of care

‡‡ MSM only

* Conference proceedings or reports **Countries combined with <50 diagnoses each † Number of people newly diagnosed in care ‡ Number of people that entered in care in the first year following diagnosis with a date of care ‡‡ MSM only Nearly two thirds of the studies presented linkage to care within three months of diagnosis (63.6%; 14/22) (range: 25%-100%) (see meta-analysis below). Linkage to care within one month of diagnosis was described by over half of studies (54%; 12/22); eight measured the timeliness of linkage among those in care while the remaining four looked at linkage among all new HIV diagnoses. The proportion linked within a month among those in care ranged from 10% in a retrospective review on linkage among AIDS centre attendees in Ukraine [17] to 94% in a study of MSM diagnosed by HIV self-sampling in the UK.[12] The proportion of all new diagnoses linked within one month ranged from 63% in a study of people testing HIV-positive at a hospital in Spain [27] to 94% in a study of MSM undergoing community-based rapid testing in Ukraine.[24] Only four studies presented linkage within two weeks, the majority from the UK and among those in care (range: 42%-93%).[21, 23, 28, 34] One cross-sectional study measured patient-reported linkage within six months (range: 31%-90%).[33] In the eight studies in which linkage was presented at multiple time intervals, linkage improved with time from diagnosis.

Meta-analysis of linkage to care within three months

The forest plot presenting the meta-analysis of the 12 studies that provided data on linkage to care at three months and weren’t restricted to MSM only can be seen in Fig 2.[11, 13, 16–18, 21, 25, 26, 29, 30, 32, 34] Six studies were published as peer-reviewed papers and six were reports or conference proceedings (not peer-reviewed). There was significant heterogeneity of results across studies (Q = 9451.38, I2 = 99.87%; p<0.001). The random-effects model generated a pooled estimate of 85% (95% CI: 75%-93%) linked to care within three months. This estimate increased slightly (92%, 95% CI: 88%–96%) after restricting analyses to the eight studies from countries covering the EU/European Economic Area (EEA).
Fig 2

Forest plots for random effects meta-analysis of the proportion of people linked to care within three months of diagnosis by care status.

*Conference proceedings or reports; **Hall, 2013—Italy; ***Hall, 2013—Spain.

Forest plots for random effects meta-analysis of the proportion of people linked to care within three months of diagnosis by care status.

*Conference proceedings or reports; **Hall, 2013—Italy; ***Hall, 2013—Spain. To investigate potential sources of heterogeneity, the random effects meta-analysis was stratified by care status—whether each study described linkage to care among i) all new diagnoses of HIV or ii) those already in care. The aggregated estimate of the proportion of people linked within three months of those newly diagnosed with HIV was 71% (95% CI: 50%-87%) (Q = 2275.58, I2 = 99.78%; p<0.001), while the estimate for those already in care was as high as 94% (95% CI: 91%-97%) (Q = 539.32, I2 = 98.89%; p<0.001). The heterogeneity between these groups was significant (p = 0.003). In addition to heterogeneity between groups, heterogeneity within groups was also high (people in care: p<0.001; all new diagnoses p<0.001).

Factors associated with linkage to care

There were seven studies that identified factors associated with linkage to care, the details of which can be seen in Table 1.[14, 18, 20–22, 26, 31] Meta-analysis was not deemed to be appropriate as there were a variety of outcomes examined (Table 3). While two studies investigated factors associated with being linked to care after diagnosis,[14, 18] the majority of studies looked at a negative outcome—either delayed entry into HIV care at one month or three months [20–22, 26, 31] or never having accessed care.[22] In addition, there were a number of different factors included in multivariable analysis and those that were similar across studies were not defined consistently (Table 3).
Table 3

Factors associated with linkage to care: WHO European region, 2006–2017 (n = 7 studies).

Author, yearStudy designStatistical analysesOutcomeAdjustments in multivariable analysisRisk factors for delayed linkage or not linking to care after diagnosis in multivariable analysis**
Demographic factorsDiagnosis/clinical factorsSocial/behavioural factors
Croxford*, 2017 [26]CohortLogistic regression (OR)Delayed linkage to care (>3 months after diagnosis)

Sex

Age at diagnosis

Region of origin

Diagnosis year

Region of diagnosis

Risk group

First CD4 count after diagnosis

-

Being diagnosed in Central and Eastern Europe

Acquiring HIV through heterosexual transmission, injecting drug use or other routes

Being diagnosed in earlier years (pre-2012)

Younger age at diagnosis (<55 years)

Higher CD4 counts

Freeman-Romilly, 2017 [14]CohortLogistic regression (OR)Presenting for follow-up after diagnosis

Sex

Age at test

Sexual orientation

Ethnicity

--

Acquiring HIV through heterosexual transmission

Kowalska, 2016 [18]CohortCox proportional hazards (HR)Being linked to care after diagnosis

Age at test

Sexual orientation

-

Education

Partner HIV status

Stable relationship status

Condom use with stable partners

Bi/heterosexual sexual orientation

Having lower levels of education

Not using condoms with stable partners

Younger age at test

Neduzhko, 2016 [20]Cross-sectionalLogistic regression (OR)Delayed HIV care entry (>3 months after diagnosis)-

Test location

Education

Feeling ill

Lack of time to attend for care

Not having time to go to the AIDS centre

Not feeling ill at diagnosis

Not having finished high school/high school/vocational school

Van Beckhoven, 2015 [21]CohortLogistic regression (OR)Not entering care within one year of diagnosis

Sex

Age at diagnosis

Nationality

Risk group

Reason for testing

-

Testing for preoperative reasons

Being of non-Belgian nationality (in Belgium)

van Veen, 2015 [22]CohortLogistic regression (OR)Not being linked to care within 4 weeks of diagnosis

Age at diagnosis

Ethnicity

CD4 count at diagnosis

Viral load at diagnosis

Referral to care pathway

Insurance

Steady relationship status

HIV disclosure status

Being referred to care indirectly through general practice or self-referral

Younger age at diagnosis (<25 years)

Not linking to care after diagnosis

Age at diagnosis

Ethnicity

Viral load at diagnosis

Referral to care pathway

Insurance

Previous HIV testing

Being referred to care indirectly through general practice or self-referral

Having an undetectable viral load at diagnosis

Lacking health insurance

Yin*, 2012 [31]CohortLogistic regression (OR)Delayed baseline assessment (>1 month after diagnosis)

Sex

Ethnicity

Risk group

Geography of diagnosis

Test location

-

Being diagnosed in general practice or other medical settings

Acquiring HIV through injecting drug use

Being diagnosed in the UK outside London

* Conference proceedings or reports

**In order of descending magnitude where possible

† Among people in care only

OR = odds ratio; HR = hazard ratio

Sex Age at diagnosis Region of origin Diagnosis year Region of diagnosis Risk group First CD4 count after diagnosis Being diagnosed in Central and Eastern Europe Acquiring HIV through heterosexual transmission, injecting drug use or other routes Being diagnosed in earlier years (pre-2012) Younger age at diagnosis (<55 years) Higher CD4 counts Sex Age at test Sexual orientation Ethnicity Acquiring HIV through heterosexual transmission Age at test Sexual orientation Education Partner HIV status Stable relationship status Condom use with stable partners Bi/heterosexual sexual orientation Having lower levels of education Not using condoms with stable partners Younger age at test Test location Education Feeling ill Lack of time to attend for care Not having time to go to the AIDS centre Not feeling ill at diagnosis Not having finished high school/high school/vocational school Sex Age at diagnosis Nationality Risk group Reason for testing Testing for preoperative reasons Being of non-Belgian nationality (in Belgium) Age at diagnosis Ethnicity CD4 count at diagnosis Viral load at diagnosis Referral to care pathway Insurance Steady relationship status HIV disclosure status Being referred to care indirectly through general practice or self-referral Younger age at diagnosis (<25 years) Age at diagnosis Ethnicity Viral load at diagnosis Referral to care pathway Insurance Previous HIV testing Being referred to care indirectly through general practice or self-referral Having an undetectable viral load at diagnosis Lacking health insurance Sex Ethnicity Risk group Geography of diagnosis Test location Being diagnosed in general practice or other medical settings Acquiring HIV through injecting drug use Being diagnosed in the UK outside London * Conference proceedings or reports **In order of descending magnitude where possible † Among people in care only OR = odds ratio; HR = hazard ratio Factors found to be associated with delayed or not linking to care in multiple studies included (Table 3): acquiring HIV through heterosexual contact [14, 18, 26] or injecting drug use,[26, 31] being of younger age at diagnosis,[18, 22, 26] having lower levels of education,[18, 20] being or feeling well at diagnosis [20, 22, 26] and being diagnosed outside an STI clinic [22, 31].

Quality assessment of included studies

Of the twelve peer-reviewed articles that could be quality assessed, most had limited generalisability, as they targeted specific high-risk populations such as MSM or people who inject drugs (PWID) accessing particular testing services (e.g. STI clinics, CBVCTs, etc.). A number of studies carried out a retrospective review of linkage among people already accessing HIV care, in which case findings may not be generalisable to individuals not in care. Selection bias was introduced in a few studies that recruited people from a selection of clinics or locations but there was no information provided on how the selected sites compared to ones not included. For those studies that reported on behavioural factors associated with linkage to care, many utilised self-reported behavioural data, potentially subjecting the results to social-desirability bias. Overall, the quality of reporting was high. However, seven of the eleven cohort studies did not report on the length of follow-up. This was of particular concern for people diagnosed near the end of the study period; it was not clear if they had enough follow-up time for linkage to occur. A few studies were not clear on a definition of linkage to care but this was clarified after contact with the authors. There were few methodological or statistical issues identified. Where described, missing data within each study was minimal and the risk of bias low. Full details of the quality assessment can be seen in Tables A and B in S2 Appendix.

Discussion

In this systematic review, 24 studies were identified that used a standardised definition to measure linkage to care following HIV diagnosis since 2006 in the WHO European Region. Twenty-two studies provided an independent point estimate of linkage to care, with 14 studies measuring prompt linkage within three months. Seven studies addressed factors associated with not linking to care or delayed linkage. Despite restricting inclusion to studies utilising a standard definition, the ability to compare estimates of linkage to care between included studies was limited by the varied populations and settings in which the studies were conducted, as well as substantial methodological differences, which created challenges in data synthesis and the interpretation of findings. Although generally, linkage tended to be lower in studies from countries with HIV epidemics driven by injecting drug use. Studies also used different time points from diagnosis to quantify prompt linkage to care—two weeks, one month, three months and six months. Meta-analysis was restricted to 12 studies measuring prompt linkage at three months, producing a relatively high pooled estimate of 85% (95% CI: 75%-93%). This European estimate is similar to linkage figures from other Western countries, including Canada: 73%, the United States (US): 84% and Australia: 90%.[16, 35] Though, when data among those already in care were excluded, our pooled estimate of linkage among new diagnoses dropped to 71% (95% CI: 50%-87%). This is lower than estimates from Western countries outside of Europe; however, it is based on only six studies with high heterogeneity as evident by the wide confidence interval. In addition, half of the studies included are from Eastern Europe, in which almost half of new diagnoses each year are among PWID.[9] PWID are known to delay access to medical care, which can be attributed to a variety of social-environmental challenges, such as homelessness, and a lack of financial and psychosocial support.[26, 31, 36] The pooled estimate of prompt linkage to care presented in this review must be interpreted with caution as heterogeneity was high (>99%). This heterogeneity between studies was partially explained through stratification by care status—separating studies into those that described linkage to care among everyone newly diagnosed and people already in care. Retrospective studies measuring timeliness of linkage among those established in care inflated linkage figures, as those who never entered HIV care were excluded. However, analyses showed heterogeneity was also high within care strata. This may be as a result of the diverse health systems across Europe and country-specific legal and regulatory barriers that may impede entry into care.[37, 38] In some countries, access to HIV care and treatment may be dependent on immigration-status or sexual orientation.[37] Certain risk groups may delay attending for care as they may fear incarceration or judgement.[38] Country-specific treatment guidelines may also inhibit people accessing HIV care. Despite the existence of European guidelines produced by the European AIDS Clinical Society recommending immediate ART initiation after diagnosis,[39] over a third (36% 17/47) of countries in the WHO European Region had treatment restrictions in place based on CD4 count in 2016.[40] Individual factors associated with poor linkage after diagnosis identified in this review included: acquiring HIV through heterosexual contact or injecting drug use, being of younger age at diagnosis, lower education levels, being or feeling well at diagnosis and being diagnosed outside an STI clinic.[14, 18, 20, 22, 26, 31] Additional barriers identified in qualitative studies from Europe outside the scope of this review include: problems with language and communication, poor care infrastructure, dissatisfaction with quality of services and medical staff and concerns over confidentiality and HIV status disclosure.[41, 42] There have been a number of strategies and approaches found to be effective in improving and promoting prompt linkage to care for people newly diagnosed with HIV, such as behavioural interventions, peer support, intensified post-test counselling by community health workers, integrated testing and care services and support for HIV disclosure.[43, 44] Communication technologies, such as text messaging and calls via mobile phones have been found to improve linkage and retention in care.[43, 44] Contact tracing has been found to effectively identify HIV cases and is a service that can promote partners’ early referral to care.[43, 45] Removing legal and regulatory barriers to ensure equal access to care can be complex and challenging. European case studies on innovative advocacy strategies can be found on the OptTEST website.[46] The findings of this systematic review are strengthened by the robust methodology applied, following PRISMA systematic review guidelines (S3 Appendix). Furthermore, the review was not limited to published studies; over half of the records included were conference proceedings or reports, which minimised the impact of publication bias. However, this review is subject to a number of limitations. The included studies were of variable quality, with the conference proceedings and reports not having undergone peer review. Included studies also had significant heterogeneity; as such, there were challenges with assessing associations and evidence synthesis. Pooled estimates should be interpreted with caution. Despite removing studies with duplicate data sources during screening, there may be some overlap and individuals that are included in more than one study. We estimate this may affect about 3% of the 89,006 individuals included in this review, based on the countries covered and the overlap of dates with the European estimate.[26] However, this upper estimate assumes national coverage of HIV surveillance programmes, including diagnoses in CBVCT and that all data are reported to European surveillance. Another limitation is the geographical coverage of this review. Even though multiple databases were systematically searched to minimise bias, the searches only identified studies from 19 of the 53 countries in the WHO European Region. This may be due to the fact the review was restricted to papers published in English or a lack of published data from these regions. Data used to measure linkage to care are often not captured due to limited national and local surveillance and restrictions as to what information is able to be collected.[47] Finally, this review very much focussed on attendance to HIV specialist medical care after diagnosis. Those not in HIV care, that may have been accessing other services related to their HIV such as urgent care or may have died shortly after diagnosis, were not captured. Attendance to an HIV care provider promptly after diagnosis is critical, as linkage to care facilitates access to HIV treatment. Immediate initiation of ART has substantial benefits, reducing the risk of patient morbidity and mortality, as well as reducing onward transmission.[1–3, 48] Ensuring prompt linkage to care for all people diagnosed with HIV is a key component in the effort to meet the UNAIDS 2020 targets to have 90% of people with HIV diagnosed, 90% on ART and 90% virally suppressed to end the AIDS epidemic by 2030.[49] In this systematic review, we present the most up-to-date evidence synthesis of research from Europe on linkage to care following HIV diagnosis. Overall, few countries in the WHO European Region have produced estimates on this essential HIV quality of care indicator. Where available, linkage estimates vary and reflect diverse health care systems, as well as political and socio-economic factors that may hinder people living with HIV from seeking care such as migrants and PWID. Further development of public health monitoring systems and adoption of a standard definition of prompt linkage are needed to monitor the equitable access to HIV care and treatment in the era of effective therapy. The OptTEST project advocates for a pragmatic approach to the public health monitoring of linkage to care using three months as the time cut-off.[6] This is in line with guidance from the ECDC, WHO and data published by the Centre for Disease Control in the US.[6, 8, 35]

Full systematic review database search strings.

(DOCX) Click here for additional data file.

Quality assessment of included peer-reviewed articles.

(DOCX) Click here for additional data file.

PRISMA checklist.

(DOCX) Click here for additional data file.
  22 in total

1.  Why the(y) wait? Key informant understandings of factors contributing to late presentation and poor utilization of HIV health and social care services by African migrants in Britain.

Authors:  F M Burns; J Y Imrie; J Nazroo; A M Johnson; K A Fenton
Journal:  AIDS Care       Date:  2007-01

2.  Does community-based point of care HIV testing reduce late HIV diagnosis? A retrospective study in England and Wales.

Authors:  Nell Freeman-Romilly; Paula Sheppard; Sarika Desai; Nick Cooper; Michael Brady
Journal:  Int J STD AIDS       Date:  2017-01-24       Impact factor: 1.359

3.  Outcomes of acutely HIV-1-infected individuals following rapid antiretroviral therapy initiation.

Authors:  Nicolò Girometti; Nneka Nwokolo; Alan McOwan; Gary Whitlock
Journal:  Antivir Ther       Date:  2016-09-02

4.  Delayed linkage to care in one-third of HIV-positive individuals in the Netherlands.

Authors:  M G van Veen; S C M Trienekens; T Heijman; H M Gotz; S Zaheri; G Ladbury; J de Wit; J S A Fennema; F de Wolf; M A B van der Sande
Journal:  Sex Transm Infect       Date:  2015-05-11       Impact factor: 3.519

5.  Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection.

Authors:  Jens D Lundgren; Abdel G Babiker; Fred Gordin; Sean Emery; Birgit Grund; Shweta Sharma; Anchalee Avihingsanon; David A Cooper; Gerd Fätkenheuer; Josep M Llibre; Jean-Michel Molina; Paula Munderi; Mauro Schechter; Robin Wood; Karin L Klingman; Simon Collins; H Clifford Lane; Andrew N Phillips; James D Neaton
Journal:  N Engl J Med       Date:  2015-07-20       Impact factor: 91.245

6.  The therapeutic implications of timely linkage and early retention in HIV care.

Authors:  Kimberly B Ulett; James H Willig; Hui-Yi Lin; Justin S Routman; Sarah Abroms; Jeroan Allison; Ashlee Chatham; James L Raper; Michael S Saag; Michael J Mugavero
Journal:  AIDS Patient Care STDS       Date:  2009-01       Impact factor: 5.078

7.  BCN Checkpoint, a community-based centre for men who have sex with men in Barcelona, Catalonia, Spain, shows high efficiency in HIV detection and linkage to care.

Authors:  M Meulbroek; E Ditzel; J Saz; H Taboada; F Pérez; A Pérez; A Carrillo; G Font; G Marazzi; J Uya; J Cabrero; M Ingrami; R Marín; J Coll; F Pujol
Journal:  HIV Med       Date:  2013-10       Impact factor: 3.180

8.  Association of injecting drug use and late enrolment in HIV medical care in Odessa Region, Ukraine.

Authors:  T K Kiriazova; O V Postnov; I B Perehinets; O O Neduzhko
Journal:  HIV Med       Date:  2013-10       Impact factor: 3.180

9.  Factors Associated with Delayed Enrollment in HIV Medical Care among HIV-Positive Individuals in Odessa Region, Ukraine.

Authors:  Oleksandr Neduzhko; Oleksandr Postnov; Ihor Perehinets; Jack DeHovitz; Michael Joseph; David Odegaard; Robert Kaplan; Tetiana Kiriazova
Journal:  J Int Assoc Provid AIDS Care       Date:  2016-12-30

10.  The COBATEST network: a platform to perform monitoring and evaluation of HIV community-based testing practices in Europe and conduct operational research.

Authors:  L Fernàndez-López; J Reyes-Urueña; C Agustí; T Kustec; I Klavs; C Casabona
Journal:  AIDS Care       Date:  2016-02-17
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  11 in total

1.  Same-day antiretroviral treatment (ART) initiation and associated factors among HIV positive people in Northwest Ethiopia: baseline characteristics of prospective cohort.

Authors:  Nurilign Abebe Moges; Olubukola Adeponle Adesina; Micheal A Okunlola; Yemane Berhane
Journal:  Arch Public Health       Date:  2020-09-22

2.  Barriers and Facilitators of Same-Day Antiretroviral Therapy Initiation Among People Newly Diagnosed with HIV in Ethiopia: Qualitative Study Using the Transtheoretical Model of Behavioral Change.

Authors:  Nurilign Abebe Moges; Olubukola Adeponle Adesina; Micheal A Okunlola; Yemane Berhane
Journal:  J Multidiscip Healthc       Date:  2020-12-02

3.  Preference towards HIV Self-Testing above Other Testing Options in a Sample of Men Who Have Sex with Men from Five European Countries.

Authors:  Juan Hoyos; Tomás Maté; Juan-Miguel Guerras; Marta Donat; Cristina Agustí; Matthias Kuske; Ricardo Fuertes; Sophocles Chanos; Francois Pichon; Luis Sordo; José Pulido; María-José Belza
Journal:  Int J Environ Res Public Health       Date:  2021-04-30       Impact factor: 3.390

4.  Defining linkage to care following human immunodeficiency virus (HIV) diagnosis for public health monitoring in Europe.

Authors:  Sara Croxford; Dorthe Raben; Stine F Jakobsen; Fiona Burns; Andrew Copas; Alison E Brown; Valerie C Delpech
Journal:  Euro Surveill       Date:  2018-11

5.  Mitochondrial haplogroup H is related to CD4+ T cell recovery in HIV infected patients starting combination antiretroviral therapy.

Authors:  Luz M Medrano; Mónica Gutiérrez-Rivas; Julià Blanco; Marcial García; María A Jiménez-Sousa; Yolanda M Pacheco; Marta Montero; José Antonio Iribarren; Enrique Bernal; Onofre Juan Martínez; José M Benito; Norma Rallón; Salvador Resino
Journal:  J Transl Med       Date:  2018-12-06       Impact factor: 5.531

6.  HIV index testing to improve HIV positivity rate and linkage to care and treatment of sexual partners, adolescents and children of PLHIV in Lesotho.

Authors:  Makhahliso Jubilee; Faith Jiyeong Park; Knowledge Chipango; Kenoakae Pule; Albert Machinda; Noah Taruberekera
Journal:  PLoS One       Date:  2019-03-27       Impact factor: 3.240

7.  High Yield of Active Tuberculosis Case Finding Among HIV-Infected Patients Using Xpert MTB/RIF Testing.

Authors:  Russell R Kempker; Nikoloz Chkhartishvili; Inga Kinkladze; Marcos C Schechter; Kristin Harrington; Nino Rukhadze; Lela Dzigua; Tengiz Tserstvadze; Carlos Del Rio; Henry M Blumberg; Nestani Tukvadze
Journal:  Open Forum Infect Dis       Date:  2019-05-17       Impact factor: 3.835

8.  HIV testing strategies outside of health care settings in the European Union (EU)/European Economic Area (EEA): a systematic review to inform European Centre for Disease Prevention and Control guidance.

Authors:  S Croxford; L Tavoschi; A K Sullivan; L Combs; D Raben; V Delpech; S F Jakobsen; A J Amato-Gauci; S Desai
Journal:  HIV Med       Date:  2019-11-04       Impact factor: 3.180

9.  Potential of HIV Self-Sampling to Increase Testing Frequency Among Gay, Bisexual, and Other Men Who Have Sex With Men, and the Role of Online Result Communication: Online Cross-Sectional Study.

Authors:  Tomás Maté; Juan Hoyos; Juan Miguel Guerras; Cristina Agustí; Sophocles Chanos; Matthias Kuske; Ricardo Fuertes; Roxana Stefanescu; Jose Pulido; Luis Sordo; Luis de la Fuente; María José Belza
Journal:  J Med Internet Res       Date:  2020-11-30       Impact factor: 5.428

10.  The contribution of HIV point-of-care tests in early HIV diagnosis: community-based HIV testing monitoring in Catalonia, 1995 to 2018.

Authors:  Laura Fernàndez-López; Juliana Reyes-Urueña; Anna Conway; Jorge Saz; Adriana Morales; Jaime Quezadas; Jordi Baroja; Anna Rafel; Ander Pazos; Anna Avellaneda; Mercè Meroño; Lorena Andreo; Lluís Romero; Anna Lara; Araceli Otón; Benet Rifà; Rosa Mansilla; Joan Colom; Jordi Casabona
Journal:  Euro Surveill       Date:  2020-10
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