David Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
David Liu has a total of 50 co-authors. Here are the top co-authors by number of shared publications:
- Paul C. VanVeldhuisen
The EMMES Corporation, Rockville, Maryland
2 shared publications - Walter Ling
UCLA Department of Family Medicine, Center for Behavioral and Addiction Medicine, Los Angeles, CA, USA
2 shared publications - Abigail G. Matthews
The Emmes Corporation, Rockville, MD, United States
1 shared publication - Albert Hasson
University of California Los Angeles, Los Angeles, CA, United States
1 shared publication - Amelia M. Arria
University of Maryland School of Public Health
1 shared publication - Andrew J. Saxon
Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, United States
1 shared publication
Latest Publications
- 20 January 2025
- Published by Elsevier in Contemporary Clinical Trials
- Vol. 150, 107816
Optimizing retention strategies for opioid use disorder pharmacotherapy: The retention phase of the CTN-0100 trial (RDD)
- 20 January 2025
- Published by Elsevier in Contemporary Clinical Trials
- Vol. 150, 107816
Optimizing retention strategies for opioid use disorder pharmacotherapy: The retention phase of the CTN-0100 trial (RDD)
- 14 July 2017
- Published by Elsevier in Addictive Behaviors
- Vol. 76, 27-33
Perceived academic benefit is associated with nonmedical prescription stimulant use among college students
- 14 July 2017
- Published by Elsevier in Addictive Behaviors
- Vol. 76, 27-33
Perceived academic benefit is associated with nonmedical prescription stimulant use among college students
- Open Access
- 12 June 2017
- Published by Springer Nature in BMC Health Services Research
- Vol. 17 (1) , 1-9
Care cascade structural intervention versus standard of care in the diagnosis and treatment of HIV in China: a cluster-randomized controlled trial protocol
The high rate of attrition along the care cascade of infection with human immunodeficiency virus (HIV) results in lost opportunities to provide timely antiretroviral therapy (ART) and to prevent unnecessarily high mortality. This study aims to assess the effectiveness of a structural intervention, the one-stop (“One4All”) strategy that streamlines China’s HIV care cascade with the intent to improve testing completeness, ART initiation, viral suppression, and mortality. A two-arm, cluster-randomized controlled trial was implemented in twelve county hospitals in Guangxi China to test the effectiveness of the One4All strategy (intervention arm) compared to the current standard of care (SOC; control arm). The twelve study hospitals were selected for homogeneity and allocated one-to-one to the intervention and control arms. All patients screening HIV positive in study hospitals were enrolled. Target study enrollment was 180 participants per arm, 30 participants per hospital. Basic demographic information was collected as well as HIV risk behavior and route of infection. In intervention hospitals, patients then went on to receive point-of-care CD4 testing and in-parallel viral load (VL) testing whereas patients in control hospitals progressed through the usual SOC cascade. The primary outcome measure was testing completeness within 30 days of positive initial HIV screening result. Testing completeness was defined as receipt of all tests, test results, and post-test counseling. The secondary outcome measure was ART initiation (receipt of first ART prescriptions) within 90 days of positive initial HIV screening result. Tertiary outcome measures were viral suppression (≤200 copies/mL) and all-cause mortality at 12 months. We expect that this first-ever, cluster-randomized controlled trial of a bundle of interventions intended to streamline the HIV care cascade in China (the One4All strategy) will provide strong evidence for the benefit of accelerating diagnosis, thorough clinical assessment, and ART initiation via an optimized HIV care cascade. We furthermore anticipate that this evidence will be valuable to policymakers looking to elevate China’s overall HIV/AIDS response to meet the UNAIDS 90-90-90 targets and the broader, global goal of eradication of the HIV/AIDS epidemic. ClinicalTrials.gov # NCT02084316 . (Registered on March 7, 2014)
- 12 June 2017
- Published by Springer Nature in BMC Health Services Research
- Vol. 17 (1) , 1-9
Open AccessCare cascade structural intervention versus standard of care in the diagnosis and treatment of HIV in China: a cluster-randomized controlled trial protocol
The high rate of attrition along the care cascade of infection with human immunodeficiency virus (HIV) results in lost opportunities to provide timely antiretroviral therapy (ART) and to prevent unnecessarily high mortality. This study aims to assess the effectiveness of a structural intervention, the one-stop (“One4All”) strategy that streamlines China’s HIV care cascade with the intent to improve testing completeness, ART initiation, viral suppression, and mortality. A two-arm, cluster-randomized controlled trial was implemented in twelve county hospitals in Guangxi China to test the effectiveness of the One4All strategy (intervention arm) compared to the current standard of care (SOC; control arm). The twelve study hospitals were selected for homogeneity and allocated one-to-one to the intervention and control arms. All patients screening HIV positive in study hospitals were enrolled. Target study enrollment was 180 participants per arm, 30 participants per hospital. Basic demographic information was collected as well as HIV risk behavior and route of infection. In intervention hospitals, patients then went on to receive point-of-care CD4 testing and in-parallel viral load (VL) testing whereas patients in control hospitals progressed through the usual SOC cascade. The primary outcome measure was testing completeness within 30 days of positive initial HIV screening result. Testing completeness was defined as receipt of all tests, test results, and post-test counseling. The secondary outcome measure was ART initiation (receipt of first ART prescriptions) within 90 days of positive initial HIV screening result. Tertiary outcome measures were viral suppression (≤200 copies/mL) and all-cause mortality at 12 months. We expect that this first-ever, cluster-randomized controlled trial of a bundle of interventions intended to streamline the HIV care cascade in China (the One4All strategy) will provide strong evidence for the benefit of accelerating diagnosis, thorough clinical assessment, and ART initiation via an optimized HIV care cascade. We furthermore anticipate that this evidence will be valuable to policymakers looking to elevate China’s overall HIV/AIDS response to meet the UNAIDS 90-90-90 targets and the broader, global goal of eradication of the HIV/AIDS epidemic. ClinicalTrials.gov # NCT02084316 . (Registered on March 7, 2014)
Long‐term outcomes after randomization to buprenorphine/naloxone versus methadone in a multi‐site trial
Aims: To compare long‐term outcomes among participants randomized to buprenorphine or methadone.Design, Setting and Participants: Follow‐up was conducted in 2011–14 of 1080 opioid‐dependent participants entering seven opioid treatment programs in the United States between 2006 and 2009 and randomized (within each program) to receive open‐label buprenorphine/naloxone or methadone for up to 24 weeks; 795 participants completed in‐person interviews (~74% follow‐up interview rate) covering on average 4.5 years.Measurements: Outcomes were indicated by mortality and opioid use. Covariates included demographics, site, cocaine use and treatment experiences.Findings: Mortality was not different between the two randomized conditions, with 23 (3.6%) of 630 participants randomized to buprenorphine having died versus 26 (5.8%) of 450 participants randomized to methadone. Opioid use at follow‐up was higher among participants randomized to buprenorphine relative to methadone [42.8 versus 31.7% positive opioid urine specimens, P < 0.01, effect size (h) = 0.23 (0.09, 0.38); 5.8 days versus 4.4 days of past 30‐day heroin use, P < 0.05, effect size (d) = 0.14 (0.00, 0.28)]. Opioid use during the follow‐up period by randomization condition was also significant (F(7,39 600) = 3.16; P < 0.001) due mainly to less treatment participation among participants randomized to buprenorphine than methadone. Less opioid use was associated with both buprenorphine and methadone treatment (relative to no treatment); no difference was found between the two treatments. Individuals who are white or used cocaine at baseline responded better to methadone than to buprenorphine.Conclusions: There are few differences in long‐term outcomes between buprenorphine and methadone treatment for opioid dependence, and treatment with each medication is associated with a strong reduction in opioid use.
Long‐term outcomes after randomization to buprenorphine/naloxone versus methadone in a multi‐site trial
Aims: To compare long‐term outcomes among participants randomized to buprenorphine or methadone.Design, Setting and Participants: Follow‐up was conducted in 2011–14 of 1080 opioid‐dependent participants entering seven opioid treatment programs in the United States between 2006 and 2009 and randomized (within each program) to receive open‐label buprenorphine/naloxone or methadone for up to 24 weeks; 795 participants completed in‐person interviews (~74% follow‐up interview rate) covering on average 4.5 years.Measurements: Outcomes were indicated by mortality and opioid use. Covariates included demographics, site, cocaine use and treatment experiences.Findings: Mortality was not different between the two randomized conditions, with 23 (3.6%) of 630 participants randomized to buprenorphine having died versus 26 (5.8%) of 450 participants randomized to methadone. Opioid use at follow‐up was higher among participants randomized to buprenorphine relative to methadone [42.8 versus 31.7% positive opioid urine specimens, P < 0.01, effect size (h) = 0.23 (0.09, 0.38); 5.8 days versus 4.4 days of past 30‐day heroin use, P < 0.05, effect size (d) = 0.14 (0.00, 0.28)]. Opioid use during the follow‐up period by randomization condition was also significant (F(7,39 600) = 3.16; P < 0.001) due mainly to less treatment participation among participants randomized to buprenorphine than methadone. Less opioid use was associated with both buprenorphine and methadone treatment (relative to no treatment); no difference was found between the two treatments. Individuals who are white or used cocaine at baseline responded better to methadone than to buprenorphine.Conclusions: There are few differences in long‐term outcomes between buprenorphine and methadone treatment for opioid dependence, and treatment with each medication is associated with a strong reduction in opioid use.