Audit of outcomes in HIV BHIVA Audit and Standards Sub-Committee E Ong (chair), J Anderson, D Churchill, M Desai, S Edwards, S Ellis, A Freedman, P Gupta,

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Presentation transcript:

Audit of outcomes in HIV BHIVA Audit and Standards Sub-Committee E Ong (chair), J Anderson, D Churchill, M Desai, S Edwards, S Ellis, A Freedman, P Gupta, V Harindra, A Judd, D Ogden, O Olarinde, R Pebody, F Post, A Rodger, C Sabin, A Schwenk, A Sullivan, E Wilkins, H Curtis (audit co-ordinator)

Aims To assess outcomes for patients with established HIV:  In care  In and out of care. Audit of outcomes not care quality  Patient factors such as poor adherence explicitly not taken into account.

Aims To test feasibility of assessing outcomes at individual sites. Rationale: from 2013, HIV/STI audit to be procured nationally with requirements of:  Systematic annual re-audit of key outcomes  Publication of site-level findings.

Methods Case-note review in October-December 2011 of patients previously seen for HIV care during patients per site to provide statistically meaningful site-level data. Denominators based on patients:  Still in care at same clinic  As above, plus not in care but not known to have died, transferred or left UK.

Patient characteristics N = 12975% Sex Male Female Ethnicity White Black-African Age Route of HIV acquisition Heterosexual MSM IDU NB: numbers and totals do not add because of missing data and values not shown.

Case mix variation Sites with HIV caseload >1000:  Older patients  Earlier dates of ART initiation. Small (≤100) and large (>1000) sites:  More white, male, MSM than medium sites  Fewer black-African, female, heterosexual.

Random and systematic case-mix variation

Inclusion in outcomes assessment: current care status Data submitted for patients seen for care in 2009 Exclude from analysis: 1250 (9.6%) transferred care to different UK clinic 267 (2.1%) left UK 166 (1.3%) died (87.0%) “in & out of care” Exclude from “in care” analysis: 575 (4.4%) stopped attending, but not known to have transferred, left the UK or died 65 (0.5%) not known 87 (0.7%) not answered (81.4%) care at same clinic Of which 9207 (87.1%) were on ART (79.4%) care at same clinic and seen during 2011

Main outcome measures

Planned poor outcome definition Criteria for poor outcomeExceptions On ART, VL >100Recent (re)start Probable blip, provided VL <200, or VL <1000 and measured within last 60 days Considered not of clinical concern, provided VL <200 On ART, VL not measured within 230 days preceding audit Not on ART, CD4 <350 Previously but not currently on ARTStopped after MTCT prevention Not seen in clinic during 2011Seen in 2010 and considered stable and not needing to be seen frequently

Poor outcome rates: corrected data Poor outcome rate Poor outcomes Total Patients in and out of care 12.1% ,292 Patients in care 7.1% ,565 Patients in care and seen during %65910,308

Variation in poor outcome rates by patient and site characteristics In and out of careIn care In care and seen during 2011 Overall12.1%7.1%6.4% Male 10.9%6.7%6.0% Female **13.9%*7.8%7.0% White 10.0%6.9%6.3% Black-African **14.7%7.2%6.4% MSM 9.6%6.3%5.6% Heterosexual **12.9%7.3%6.6% ART initiated 2005 or earlier9.3%6.6%6.0% ART initiated 2006 or later9.6%6.2%5.7% <100 site caseload < %7.1%6.5% Site caseload > %7.2%5.8% Site caseload < %7.9%7.2% ** Significant at 99%. * Significant at 95%.

Possible outlier sites

Problems with outcome definition Burdensome for sites to provide sufficient data. Data quality issues – missing data and errors, especially dates and reasons for exceptions. Action taken in response:  Corrected missing data by imputing. E.g. if attendance date given but VL date missing, assume the same  Tested simpler definition of poor outcome for potential future use On ART with VL >200 Not on ART, CD4 <350.

Comparison of outcome measures: poor outcome rates for patients seen for care during 2011 by site caseload ▪ Simple VL/CD4 only outcome ▪ planned outcome, uncorrected data ▪ planned outcome, corrected data

Secondary outcomes

London CQIN viral load outcome London  ≥90% adults starting ART to have <50 copies/ml within 3-15 months, excluding pregnant women and those with no available measurement (achieved 2010: 93%). BHIVA audit  No direct comparison  9070 patients in care on ART with available result, 83.2% had undetectable VL and a further 10.4% had detectable VL <100 copies/ml.

London CQIN CD4 targets London  ≥95% of adults in care for at least one year at the same site to have ≥200 cells/mm 3 (achieved 2010: 96%)  ≥90% to have ≥350 cells/mm 3 (achieved 2010: 83%). BHIVA Audit  Of patients in care, 94.9% had >200 and 80.8% >350 cells/mm3

Percentage of patients in care & seen during 2011 with CD4 ≤200 cells/mm 3 by site caseload and whether on ART

Other secondary outcomes Cardiovascular risk monitoring Assessment of adherence

Percentage of patients on ART, in care and seen during 2011 for whom lipids not measured in the past 3 years

Percentage of patients in care and seen during 2011 for whom blood pressure not recorded in the past 15 months

Percentage of patients on ART, in care and seen during 2011 for whom information on adherence not recorded in the past 12 months

Conclusions: main outcome Overall HIV treatment outcomes were excellent  87.9% of patients overall  93.6% of those attending for care. Outcomes varied widely between sites.  Poor outcomes might be attributed to patient factors  Not a reflection of care quality. Reassuring lack of systematic variation in outcomes for patients attending for care  Variation among patients out of care requires further investigation  Some possible outlier sites identified  May partly reflect poor data quality.

Conclusions: monitoring Recording of cardiovascular risk monitoring and adherence assessment was variable.

Conclusions: feasibility The audit method posed problems and is not feasible for year-on-year repetition:  Participants found it burdensome to provide data  Errors and missing data affected site-level results significantly. Data was imputed where feasible in this audit. In the future joint HIV/STI audit programme, sites may be judged on data quality as well as underlying outcomes. Using a simpler outcome definition gave significantly different results.

Recommendations Preparation for the HIV/STI National Clinical Audit and Patient Outcomes Programme should focus on:  Improving outcome measures to assess quality of care with the minimum burden for participants  Addressing data quality with automated data collection being a high priority.

Acknowledgements All the centres who participated in this audit.