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We characterized the prevalence of, and estimated associations between, (1) HIV-related healthcare stigma/discrimination and (2) unmet social, mental, and chronic condition healthcare needs among persons living with HIV (PLHIV) in England and Wales. We used data from Positive Voices 2017, a national, cross-sectional probability survey of PLHIV in England and Wales, in which N = 3,475 PLHIV provided complete data on demographic characteristics (control variables; age, ethnicity, gender, sexual identity), HIV-related healthcare stigma/discrimination (exposures; treated differently from other patients, care was refused/delayed, worried about being treated differently, avoided seeking needed care, all due to HIV status), and unmet needs (outcomes; unmet peer support, psychological care, management of chronic health conditions, and isolation help needs). Modified Poisson regression models with log links and robust variance estimators were used to produce prevalence ratios and 95% confidence intervals for unadjusted and adjusted associations between demographic characteristics, HIV-related healthcare stigma/discrimination (individual items and total scale score), and unmet needs variables. Two in five participants (40%) endorsed at least one HIV-related healthcare stigma/discrimination item; and 474 (14%), 428 (12%), 459 (13%), and 501 (14%) reported an unmet peer support, psychological care, chronic health condition management, and isolation help need, respectively. Each HIV-related healthcare stigma/discrimination item and the summed scale score were significantly, positively associated with all four unmet needs variables in unadjusted and adjusted models. Trainings for all healthcare workers in HIV-competent, non-stigmatizing care, as well as the development of engagement and delivery approaches for psychosocial care for PLHIV, are needed.

This article draws on life-history interviews with older (aged 50+) people living with HIV in England to uncover the interpretive practices in which they engaged as they evaluated their own quality of life (QoL). Our paper highlights the distinctive insights that biographical and narrative approaches can bring to QoL research. While accounts of subjectively ‘poor’ QoL were relatively straightforward and unequivocally phrased, accounts of subjectively ‘good’ and ‘OK’ QoL were produced using complex interpretive and evaluative practices. These practices involved biographical reflection and contextualization, with participants weighing up and comparing their current lives' ‘pros’ and ‘cons’, their own lives with the lives of others, and their present lives with lives they had imagined having at the time of interview. Thus, ‘good’ and ‘OK’ QoL were constructed using practical, relational, and interpretive work – features of QoL analytically unavailable in quantitative data gathered through standardised measures (including our own survey data collected from these same participants). Our findings underscore the uneasy fit between QoL's quantitative measurement and its subjective understandings and evaluations, on the one hand, and the interpretive work that goes into achieving these understandings and evaluations, on the other.

Background: HIV is now considered a chronic condition, and people living with HIV, when treated, have a similar life expectancy as compared to the general population. Consequently, improving and ensuring a good health-related quality of life (HrQoL) among people living with HIV (people living with HIV) is increasingly important and has risen on the global agenda in recent years. A ‘fourth 90’ as 90% of people with viral load suppression have a good HrQoL should therefore be adopted alongside the other 90-90-90 targets. This study aims to report the progress on HrQoL as the ‘fourth 90’ and compare against the general population in the Netherlands and England. Methods: In the Netherlands, individuals attending the HIV outpatient clinic of a tertiary hospital were asked to complete the EQ-5D-5L from June 2016 until December 2018. In England, individuals attending one of 73 HIV outpatient clinics were randomly sampled to complete the Positive Voices survey, which included the EQ-5D-5L, from January to September 2017. HrQoL scores were combined with demographic data and compared to general population data. Findings: The EQ-5D-5L was filled-out by 895 people living with HIV in the NL and 4,137 in England. HrQoLutility was 0·85 among Dutch and 0·83 among English people living with HIV. This equated to 98% and 94% of the general population HrQoLutility in the Netherlands and England, respectively. Of the EQ-5D domains, anxiety/depression was mostly affected, with one-third in Dutch (35%) and almost half (47%) of English people living with HIV reporting symptoms. This was higher compared to their respective general populations (21% NL and 31% England). Interpretation: Overall, HrQoLutility for people living with HIV was high in both countries and highly comparable to the general populations Nevertheless, there should be an increased focus on anxiety and depression in the people living with HIV population The EQ-5D-5L proved an easy HrQoL measurement tool and identified areas for improvement by social and behavioural interventions. Funding: The study received funding (unrestricted grants) from: Gilead sciences, ViiV Healthcare, MSD, and Jansen pharmaceuticals.

Objectives: The aim of this study was to investigate associations between baseline characteristics and CD4 cell count response on first-line antiretroviral therapy and risk of virological failure (VF) with or without drug resistance. Methods: We conducted an analysis of UK Collaborative HIV Cohort data linked to the UK HIV Drug Resistance Database. Inclusion criteria were viral sequence showing no resistance prior to initiation of first-line efavirenz + tenofovir disoproxil fumarate + emtricitabine and virological suppression within 6 months. Outcomes of VF (≥200 copies/mL) with or without drug resistance were assessed using a competing risks approach fitted jointly with a model for CD4 cell count recovery. Hazard ratios for each VF outcome were estimated for baseline CD4 cell count and viral load and characteristics of CD4 cell count response using latent variables on a standard normal scale. Results: A total of 3640 people were included with 338 VF events; corresponding viral sequences were available in 134 with ≥1 resistance mutation in 36. VF with resistance was associated with lower baseline CD4 (0.30, 0.09–0.62), lower CD4 recovery (0.04, 0.00–0.17) and higher CD4 variability (4.40, 1.22–12.68). A different pattern of associations was observed for VF without resistance, but the strength of these results was less consistent across sensitivity analyses. Cumulative incidence of VF with resistance was estimated to be >2% at 3 years for baseline CD4 ≥350 cells/μL. Conclusion: Lower baseline CD4 cell count and suboptimal CD4 recovery are associated with VF with drug resistance. People with low CD4 cell count before ART or with suboptimal CD4 recovery on treatment should be a priority for regimens with high genetic barrier to resistance.

Background: UK and European guidelines recommend HIV testing in general practice. We report on the implementation of the Rapid HIV Assessment trial (RHIVA2) promoting HIV screening in general practice into routine care. Methods: Interrupted time-series, difference-in-difference analysis and Pearson-correlation on three cohorts comprising 42 general practices in City & Hackney (London, UK); covering three periods: pre-trial (2009–2010), trial (2010–2012) and implementation (2012–2014). Cohorts comprised practices receiving: “trial intervention” only (n = 19), “implementation intervention” only (n = 13); and neither (“comparator”) (n = 10). Primary outcomes were HIV testing and diagnosis rates per 1000 people and CD4 at diagnosis. Findings: Overall, 55,443 people were tested (including 38,326 among these cohorts), and 101 people were newly diagnosed HIV positive (including 65 among these cohorts) including 74 (73%) heterosexuals and 69 (68%) people of black African/Caribbean background; with mean CD4 count at diagnosis 357 (SD=237). Among implementation intervention practices, testing rate increased by 85% (from 1·798 (95%CI=(1·657,1·938) at baseline to 3·081 (95%CI=(2·865,3·306); p = 0·0000), diagnosis rate increased by 34% (from 0·0026 (95%CI=(0·0004,0·0037)) to 0·0035 (95%CI=(0·0007,0·0062); p = 0·736), and mean CD4 count at diagnosis increased by 55% (from 273 (SD=372) to 425 (SD=274) cells per μL; p = 0·433). Implementation intervention and trial intervention practices achieved similar testing rates (3·764 vs. 3·081; 6% difference; 95% CI=(-5%,18%); p = 0·358), diagnosis rates (0·0035 vs. 0·0081; -13% difference; 95%CI=(-77%,244%; p = 0·837), and mean CD4 count (425 (SD=274) vs. 351 (SD=257); 69% increase; 95% CI=(-61%,249%); p = 0·359). HIV testing was positively correlated with diagnosis (r = 0·114 (95% CI=[0·074,0·163])), and diagnosis with CD4 count at diagnosis (r = 0·011 (95% CI=[-0·177,0·218])). Interpretation: Implementation of the RHIVA programme promoting nurse-led HIV screening into routine practice in inner-city practices with high HIV prevalence increased HIV testing, and may be associated with increased and earlier diagnosis. HIV screening in primary care should be considered a key strategy to reduce undiagnosed infection particularly among high risk persons not attending sexual health services. Funding: National Institute for Health Research ARC North Thames, and Barts and The London School of Medicine and Dentistry. Keywords: HIV testing, Implementation, Interrupted time series

Phylogenetic clustering of HIV sequences from a random sample of patients can reveal epidemiological transmission patterns, but interpretation is hampered by limited theoretical support and statistical properties of clustering analysis remain poorly understood. Alternatively, source attribution methods allow fitting of HIV transmission models and thereby quantify aspects of disease transmission.A simulation study was conducted to assess error rates of clustering methods for detecting transmission risk factors. We modeled HIV epidemics among men having sex with men and generated phylogenies comparable to those that can be obtained from HIV surveillance data in the UK. Clustering and source attribution approaches were applied to evaluate their ability to identify patient attributes as transmission risk factors.We find that commonly used methods show a misleading association between cluster size or odds of clustering and covariates that are correlated with time since infection, regardless of their influence on transmission. Clustering methods usually have higher error rates and lower sensitivity than source attribution method for identifying transmission risk factors. But neither methods provide robust estimates of transmission risk ratios. Source attribution method can alleviate drawbacks from phylogenetic clustering but formal population genetic modeling may be required to estimate quantitative transmission risk factors. Keywords: Phylogenetic analysis, Cluster analysis, Phylodynamics, HIV epidemiology, Computer simulation

As the life expectancy of people living with HIV improves as a result of antiretroviral therapy, increasing numbers of women living with HIV (WLHIV) are now reaching menopausal age. The menopause transition in WLHIV remains a relatively overlooked area in clinical HIV research. Whilst there is some evidence to suggest that WLHIV experience menopause at an earlier age and that they have more menopausal symptoms, there is no clear consensus in the literature around an impact of HIV infection on either timing or symptomatology of the menopause. Data are also conflicting on whether HIV-related factors such as HIV viral load and CD4 cell count have an impact on the menopause. Furthermore, menopausal symptoms in WLHIV are known to go under-recognised by both healthcare providers and women themselves.There is likely to be a burden of unmet health needs among WLHIV transitioning through the menopause, with significant gaps in the evidence base for their care. With this in mind, we have developed the PRIME study (Positive Transitions Through the Menopause). This mixed-methods observational study will explore, for the first time in the UK, the impact of the menopause on the health and wellbeing of 1500 ethnically diverse WLHIV. In establishing a cohort of women in their midlife and following them up longitudinally, we hope to develop a nuanced understanding of the gendered aspects of ageing and HIV, informing the provision of appropriate services for WLHIV to ensure that they are supported in maintaining optimal health and wellbeing as they get older.

Background: Deaths in HIV-positive people have decreased since the introduction of highly active antiretroviral therapy (HAART) in 1996. Fewer AIDS-related deaths and an ageing cohort have resulted in an increase in the proportion of HIV patients dying from non-AIDS-related disorders. Here we describe mortality and causes of death in people diagnosed with HIV in the HAART era compared with the general population. Methods: In this observational analysis, we linked cohort data collected by Public Health England (PHE) for individuals aged 15 years and older, diagnosed with HIV in England and Wales from 1997 to 2012, to the Office for National Statistics (ONS) national mortality register. Cohort inclusion began at diagnosis with follow-up clinical information collected every year from all 220 National Health Service (NHS) HIV outpatient clinics nationwide. To classify causes of death we used a modified Coding Causes of Death in HIV (CoDe) protocol, which uses death certificate data and clinical markers. We applied Kaplan-Meier analysis for survival curves and mortality rate estimation and Cox regression to establish independent predictors of all-cause mortality, adjusting for sex, infection route, age at diagnosis, region of birth, year of diagnosis, late diagnosis, and history of HAART. We used standardised mortality ratios (SMRs) to make comparisons with the general population. Findings: Between 1997 and 2012, 88 994 people were diagnosed with HIV, contributing 448 839 person-years of follow up. By the end of 2012, 5302 (6%) patients had died (all-cause mortality 118 per 10 000 person-years, 95% CI 115–121). In multivariable analysis, late diagnosis was a strong predictor of death (hazard ratio [HR] 3·50, 95% CI 3·13–3·92). People diagnosed more recently had a lower risk of death (2003–07: HR 0·66, 95% CI 0·62–0·70; 2008–12: HR 0·65, 95% CI 0·60–0·71). Cause of death was determinable for 4808 (91%) of 5302 patients; most deaths (2791 [58%] of 4808) were attributable to AIDS-defining illnesses. Cohort mortality was significantly higher than the general population for all causes (SMR 5·7, 95% CI 5·5–5·8), particularly non-AIDS infections (10·8, 9·8–12·0) and liver disease (3·7, 3·3–4·2). All-cause mortality was highest in the year after diagnosis (SMR 24·3, 95% CI 23·4–25·2). Interpretation: Despite the availability of free treatment and care in the UK, AIDS continues to account for the majority of deaths in HIV-positive people, and mortality remains higher in HIV-positive people than in the general population. These findings highlight the importance of prompt diagnosis, care engagement, and optimum management of comorbidities in reducing mortality in people with HIV. Funding: Public Health England.