the$effect$of$hiv$co,morbidity$ on$mental$health$outcomes ... ·...
TRANSCRIPT
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Catherine Kirby1, Rosie Mayston2, David O’Fynn³ Christopher Taylor1
1. Department of HIV/Sexual Health, Kings’ College London 2. Institute of Psychiatry, psychology & Neuroscience, King’s College London3. South London and Maudsley NHS Foundation Trust
The effect of HIV co-‐morbidity on mental health outcomes among people accessing services for serious mental illness (SMI) in South London
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Background I
• SMI (Serious Mental Illness) • Schizophrenia• Bipolar affective disorder• Schizoaffective disorder
• People with SMI experience significant health inequalities• SMI in general population: 0.6 %• SMI amongst HIV population¹: 6%
• Recent Danish cohort Study²: HIV + schizophrenia à increased mortality
1. Hughes et al, 2016, Prevalence of HIV, hepatitis B, and hepatitis C in people with severe mental illness: a systematic review and meta-‐analysis, Lancet Psychiatry
2. Helleberge et al, Associations between HIV and schizophrenia and their effect on HIV treatment outcomes, Lancet 2015
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Research Setting
• SLaM (South London and Maudsley NHS Trust) BRC (Biomedical Research Centre) Case Register• High mental health morbidity & HIV prevalence• Population 1.2 million
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Aims
• Compare mortality among those with SMI versus SMI/HIV• Probability of reported suicidal risk • Probability of mental health inpatient stay• Examine the effect of comorbid substance use on these outcomes
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Study Design
•Retrospective cohort• Follow-‐up= 1st Jan 2009-‐ 31st Dec 2015
• Inclusion Criteria• SMI diagnosis: before or during 2008 • HIV positive: before or during 2008
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CRIS (Clinical Record Interactive Search)
• Research tool from electronic patient records used by SLaM • Over 250 000 patient records• Largest mental health data resource of its kind
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Patient clinical records
database (Trust ID no.)
De-‐identified clinical records
database
Electronic researcher user
interface (BRC ID no.)
CRIS (Clinical Record Interactive Search)
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CRIS: Data extraction
Structured data (e.g age)
Free Text (clinical records)
Linkages to external sources
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Methodology
• Simple rules-‐based approach to the identification of patients within CRIS with HIV infection• TextHunter programme: to develop information extraction application• Validated using test data sets • Structured fields used:• Substance use • Suicidality
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Definition of outcome measures
• Mortality= date of death• Contact days= number of days when patients have face-‐to-‐face contact with a SLaM service• Suicidal risk= whether an in-‐depth risk assessment has been carried out (y/n)• Inpatient stay= whether a patient has had an inpatient stay (y/n)• Substance use=whether ICD 10 SU disorder coded
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Results
• 8474 patients with SMI• 176 patients with SMI+HIV identified• No deaths occurred during study period in HIV group
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Comparing baseline characteristics of SMI v. SMI + HIV SMI % SMI +
HIV% chi-‐
squaredP-‐value
8474 176Gender Female 3646 43 69 39.2 1.03 0.31
Male 4828 57 107 60.8
Ethnicity British 4622 54.5 82 46.6 22.04 <0.01
Black African 943 11.1 39 22.2Black Caribbean 2372 28 48 27.3
Asian 537 6.3 7 4Diagnosis Bipolar 2021 23.9 51 29 2.71 0.26
Schizophrenia 5690 67.2 112 63.6Schizoaffective 763 9 13 7.4
Employment Employed 1069 12.6 19 10.8 2.78 0.25Unemployed 3895 46 92 52.3Not known 3510 41.4 65 36.9
Local authority Southwark 1902 22.5 47 26.7 6.98 0.14
Lewisham 1646 19.4 35 19.9Lambeth 2111 24.9 45 25.6Croydon 1752 20.7 23 13.1Other 1063 12.5 26 14.8
Age category 18-‐24 354 4.2 8 4.6 36.03 <0.01
>24-‐34 1528 18 44 25>34-‐44 2273 26.8 65 36.9>44-‐54 2057 24.3 46 26.1>54-‐64 1153 13.6 8 4.6>64 1109 13.1 5 2.8
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Distribution of MH outcomes
SMI SMI + HIV Chi-squared p-value
N (%)
Suicidal risk 144 (1.8) 32 (4.1) 18.19 <0.01
Inpatient stay 61 (1.4) 115 (2.8) 21.29 <0.01
ØNo evidence of association of HIV co-‐morbidity with contact daysØCo-‐morbidity is associated with suicidality & inpatient stay
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Co-‐morbidity associated with suicidal risk
OR SE P 95% CI
1 SMI + HIV 2.29 0.46 <0.01 1.55-3.34
**2 SMI + HIV 2.08 0.42 <0.01 1.39-3.10
**Adjusted for gender, age, ethnicity, borough, marital status,employment, diagnosis
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Co-‐morbidity associated with inpatient stay
OR SE P 95% CI
1 SMI + HIV 2.06 0.33 <0.01 1.51-2.82
**2 SMI + HIV 1.84 0.31 <0.01 1.32-2.55
**Adjusted for gender, age, ethnicity, borough, marital status, employment, diagnosis
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Distribution of co-‐morbid substance use
SMI only Stimulant Opioid Alcohol Stimulant + opioid
Alcohol + stimulant
Alcohol + opioid
Stimulant + alcohol + opioid
chi-squared
p-value
SMI 7736 (91.3)
91 (1.1)
87 (1.0)
463 (5.5)
22 (0.3)
22 (0.3)
34 (0.4)
19 (0.2)
46.6 <0.01
SMI + HIV
145 (82.4)
6 (3.4)
4 (2.3)
11 (6.3)
2 (1.1)
1 (0.6)
4 (2.3)
3 (1.7)
Ø 17.6% of people living with co-‐morbid SMI & HIV have co-‐morbid substance use, compared to 8.7%of people living with SMI only
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Crude associations of co-‐morbid substance use with suicidalityExposure group Chi-
squaredP OR 95% CI
SMI ref.
SMI + HIV 14.1 <0.01 2.3 1.47-3.59
SMI + substance 91.6 <0.01 2.62 2.13-3.21
SMI + substance + HIV
13.3 <0.01 4.03 1.79-9.05
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Conclusion
• First UK study to examine impact of HIV on MH outcomes of people with SMI
• MH outcomes were worse• Substance use commoner• Further work needed: physical health outcome
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Using CRIS + data linkage to investigate the impact of co-‐morbidity on course and outcome of physical illness
HIV + SMI
SMI ONLY
PHYSICAL MORBIDITY-‐HES
Number of bed days within the year
Number of emergency admissions
Number of visits to A&E
Non-‐communicable conditions, adherence, treatment
MORTALITY
MENTAL MORBIDITY-‐CRIS
COSTS?
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Thanks!Questions/comments?
Acknowledgements• Megan Pritchard CRIS Training & Development Lead
• Hitesh Shetty CRIS• David Chandran CRIS
• Rob Stewart Professor of Psychiatric Epidemiology and Clinical Informatics
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HIV App Development
• Good precision (exactness) & recall (completeness):• HIV app: p 71.8%; r 95.0%• HIV Rx app: p 97.7%; r 97.6%
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Why might co-‐morbid HIV result in worse MH outcomes for people living with SMI?• Complexity of managing two complicated conditionsØHIV is not considered/adequately addressed by clinical teams who are managing SMI?
ØHIV is not adequately managedà poor physical healthàworse MH?ØAdherence?
• HIV-‐related factors (stigma, depression etc.)àworse MH outcomes?
ØLack of evidence-‐based guidelines for managing SMI + HIV co-‐morbidity
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Texthunter software
How many pts identified after
search re-‐run=176
HIV search terms refined (precision & recall)
Manual checking of text excerpts to verify if pts had
HIV=300
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Queries
• Why didn’t you look through notes individually as not mant pts? (Anonymised)• 2 X data extraction techniques described in CRIS paper: which was used?• SMI: serious vs severe?• “Refer to poster no. xx for technical architecture information• What was the primary outcome: Mortality?
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Inclusion Criteria
ØSMI/HIV= all those identified with Texthunter app before or during 2008
ØSMI= all those idenitified as not having HIV up until end of 2015ØALL= active in 2008ØALL= alive by the end of 2008
Ø7 years follow-‐up