Download presentation
Presentation is loading. Please wait.
Published byDjaja Setiabudi Modified over 6 years ago
1
Quality of HIV Care for Veterans with Unhealthy Alcohol Use
Kevin Kraemer, MD, MSc Kathleen McGinnis, MS P. Todd Korthuis, MD, MPH David Fiellin, MD, MPH Adam Gordon, MD, MPH Amy Justice, MD, PhD and “Quality of HIV Care for Veterans with Substance Use” Writing Group
2
Background Prevalence of unhealthy alcohol use is high among HIV-infected patients Alcohol has many potential adverse effects in HIV-infected patients but little is known about the influence of alcohol use on the quality of HIV care Although the VA has long been a leader in quality improvement for HIV-infected veterans, it is not known how this extends to veterans with unhealthy alcohol use
3
Objective/Hypothesis
Objective: To compare the quality of HIV care among HIV-infected veterans with and without unhealthy alcohol use Hypothesis: Quality of HIV care will be lower for HIV-infected veterans with unhealthy alcohol use than for those without unhealthy alcohol use
4
Methods Design: cross-sectional analysis of VACS baseline data
Sites: all 8 VACS sites Participants: all HIV-infected veterans in VACS
5
Independent Variables and Covariates
Main independent variable – Unhealthy alcohol use Measured by the Alcohol Use Disorders Identification Test – Consumption (AUDIT-C) Defined as AUDIT-C score of 4 or more and alcohol use in past year Covariates – demographics, illicit drug use, tobacco use, CD4, viral load
6
Outcomes - Quality of HIV Care Indicators
Quality Indicator (QI) definitions (each dichotomously coded) Receipt of HAART if CD4 nadir < 350 or history of AIDS-defining illness PCP prophylaxis if CD4 < 200 during past 12 months MAC prophylaxis if CD4 < 50 during past 12 months Two or more CD4 counts, at least 3 mo apart, during past 12 months Two or more HIV clinic visits, at least 3 mo apart, during past 12 months Primary Outcome Summary Quality Score = ∑ (QI received/QI eligible) x 100
7
Analysis Two-sample t-test, chi-square, and Wilcoxon rank sum used, as appropriate, to compare baseline demographics, clinical characteristics, summary quality score, and individual quality indicators among HIV-infected veterans with and without unhealthy alcohol use Multivariate logistic regression Assess independent association of unhealthy alcohol use with the outcome of achieving at least 80% of quality indicators Adjusted for age, gender, race/ethnicity, and illicit drug use
8
Results – Characteristics of Sample
AUDIT-C 4+ and drank in past year (n=864) AUDIT-C < 4 or did not drink in past year (n=2483) P-value Mean age 48 49 < .001 Male (%) 98 97 < .05 African-American (%) 68 67 ns CD4 < 200 (%) 25 24 HIV RNA > 500 (%) 57 Current tobacco use (%) 47 Illicit drug use, past year (%) Opiates Cocaine Stimulants Marijuana 13 38 6 39 8 16 4 .001
9
Results – Quality of HIV Care Indicators
AUDIT-C 4+ and drank in past year (n=864) AUDIT-C <4 or didn’t drink in past year (n=2483) P-value Mean Summary Quality Score (SD) 80 (31) 86 (27) < .001 No. Eligible % Received HAART 459 89 1295 90 ns PCP prophy. 210 91 559 92 MAC prophy. 52 138 84 ≥ 2 CD4 Counts 864 72 2483 80 ≥ 2 HIV Visits 83
10
Results – Achieving At Least 80% of Quality Indicators
72% of total sample achieved at least 80% of quality indicators > 80% quality indicators completed (n=2396) < 80% quality indicators completed (n=951) P-value Alcohol use (%) AUDIT-C 4+ and drank in past year AUDIT-C < 4 or did not drink in past year 65 74 35 26 < .001
11
Results – Association with Achieving At Least 80% of Quality Indicators
Odds Ratio (95% CI) P-value Age 50+ (ref.: age < 50) 1.17 (1.00 – 1.37) .046 Male gender (ref.: female) 2.05 (1.31 – 3.18) .002 Race (ref.: white) Black Latino Other/Unknown 0.72 (0.58 – 0.88) 0.81 (0.59 – 1.12) 0.46 (0.31 – 0.69) ns < .001 AUDIT-C 4+ and drank in past year (ref.: AUDIT-C < 4 or no drink in past year) 0.71 (0.60 – 0.85) Illicit drug use (ref.: no illicit drug use) 0.73 (0.62 – 0.87)
12
Limitations Cross-sectional
Analysis does not include a number of quality of HIV care indicators Does not account for out-of-VA care
13
Conclusions Unhealthy alcohol use is associated with lower quality of HIV care in HIV-infected veterans Primarily due to fewer HIV clinic visits and CD4 counts Independent from effect of concurrent illicit drug use Age < 50 years and African-American race also associated with lower quality of HIV care
14
Significance/Implications
Completed analyses will: Improve understanding of the influence of alcohol and its treatment on quality of HIV care Identify potential targets for improving quality of HIV care among high-needs veterans
15
Next Steps Continue planned quality of HIV care analyses for both unhealthy alcohol use and illicit drug use Add additional quality indicators to analyses Tier 2 (adherence assessment and counseling, HIV risk counseling, Hepatitis B vaccination, oral exam, and screening for cervical cancer, Hepatitis C, lipids, syphilis, and TB) Tier 3 (alcohol counseling for HCV/HIV coinfected, tobacco cessation; vacccination for influenza and pneumococcus; and screening for chlamydia, gonorrhea, Hepatitis B, toxoplasma, mental health, and substance use) Determine the impact of substance abuse treatment services on the quality of HIV care for HIV-infected veterans with substance use disorders
16
Acknowledgements PI and Co-PI: AC Justice, DA Fiellin
Scientific Officer (NIAAA): K Bryant Participating VA Medical Centers: Atlanta (D. Rimland), Baltimore (KA Oursler, R Titanji), Bronx (S Brown, S Garrison), Houston (M Rodriguez-Barradas, N Masozera), Los Angeles (M Goetz, D Leaf), Manhattan-Brooklyn (M Simberkoff, D Blumenthal, H Leaf, J Leung), Pittsburgh (A Butt, E Hoffman), and Washington DC (C Gibert, R Peck) Core Faculty: K Mattocks (Deputy Director), K Akgun, S Braithwaite, C Brandt, K Bryant, R Cook, K Crothers, J Chang, S Crystal, N Day, R Dubrow, M Duggal, J Erdos, M Freiberg, M Gaziano, M Gerschenson, A Gordon, J Goulet, N Kim, M Kozal, K Kraemer, V LoRe, S Maisto, P Miller, P O’Connor, C Parikh, C Rinaldo, J Samet Staff: H Bathulapalli, T Bohan, D Cohen, A Consorte, P Cunningham, A Dinh, C Frank, K Gordon, J Huston, F Kidwai, F Levin, K McGinnis, C Rogina, J Rogers, L Sacchetti, M Skanderson, J Tate, E Williams Major Collaborators: VA Public Health Strategic Healthcare Group, VA Pharmacy Benefits Management, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Yale Center for Interdisciplinary Research on AIDS (CIRA), Center for Health Equity Research and Promotion (CHERP), ART-CC, NA-ACCORD, HIV-Causal Major Funding by: National Institutes of Health: NIAAA (U10-AA13566), NIA (R01-AG029154), NHLBI (R01-HL095136; R01-HL090342; RCI-HL100347) , NIAID (U01-A ), NIMH (P30-MH062294), and the Veterans Health Administration Office of Research and Development (VA REA ) and Office of Academic Affiliations (Medical Informatics Fellowship).
17
Questions?
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.