Evidence map›Paper›PMID 30763292›Full record

Trial reportJournal of acquired immune deficiency syndromes (1999)2019

Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder: Beyond Electronic Health Record Data.

Ank E Nijhawan, Lisa R Metsch, Song Zhang, Daniel J Feaster, Lauren Gooden, Mamta K Jain, Robrina Walker, Shannon Huffaker, Michael J Mugavero, Petra Jacobs and 5 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of acquired immune deficiency syndromes (1999), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Changes in the Prevalence of Non-AIDS Conditions Among Hospitalized Persons With HIV in the United States and Canada, 2008-2018.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  4. Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2025
    Article
  5. Article
  6. Identifying and Addressing Social Determinants of Health with an Electronic Health Record.Journal of the American Board of Family Medicine : JABFM · 2025
    Observational
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  8. Article
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  11. Social determinants of health and sepsis: a case-control study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2024
    Article
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  19. Article
  20. MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health.Proceedings of machine learning research · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ank E NijhawanDivision of Infectious Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Lisa R MetschDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Song ZhangDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Daniel J FeasterDivision of Biostatistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL.
Lauren GoodenDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Mamta K JainDivision of Infectious Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Robrina WalkerDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX.
Shannon HuffakerKaiser Permanente, Oakland, CA.
Michael J MugaveroDivision of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Petra JacobsNational Institute of Health, National Institute on Drug Abuse, North Bethesda, MD.
Wendy S ArmstrongDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
Eric S DaarDivision of HIV Medicine, Department of Medicine, Los Angeles Biomedical Research Institute, Harbor-University of California Los Angeles Medical Center, Torrance, CA.
Meg SullivanDivision of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston, MA.
Carlos Del RioDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
Ethan A HalmDivision of General Internal Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
The National Drug Abuse Treatment Clinical Trials NetworkUG1DA015831 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Roger D. Weiss · 2015 to 2026
$110.8M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Project-004UG1DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI Steven J Shoptaw, MADHUKAR H. TRIVEDI · 2015 to 2026
$71.6M
FLORIDA NODE OF THE DRUG ABUSE CLINICAL TRIALS NETWORKU10DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI METSCH, LISA R, SZAPOCZNIK, JOSE · 2000 to 2015
$56.9M
The National Drug Abuse Treatment Clinical Trials NetworkU10DA013045 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LING, WALTER NMN · 1999 to 2015
$52.6M
The Florida Node Alliance of the National Drug Abuse Treatment Clinical Trials NetworkUG1DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel J Feaster, Viviana Elizabeth Horigian · 2015 to 2026
$50.6M
The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
CU PARTNERS: NY/LONG ISLAND REGIONAL NODEU10DA013035 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI NUNES, EDWARD V., ROTROSEN, JOHN P · 2001 to 2015
$47.6M
Clinical Trials Network, Ohio Valley Node U10DA013732U10DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI WINHUSEN, T JOHN · 2000 to 2015
$45.0M
AHRQ HHS R24 HS022418Intramural NIH HHS Z01 AI005040NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR002378NIAID NIH HHS K23 AI112477NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI073961NIDA NIH HHS HHSN271200900034CNIDA NIH HHS HHSN271201000024CNIDA NIH HHS HHSN271201400028CNIDA NIH HHS R34 DA045592NIDA NIH HHS U10 DA013034NIDA NIH HHS U10 DA013035NIDA NIH HHS U10 DA013043NIDA NIH HHS U10 DA013045NIDA NIH HHS U10 DA013720NIDA NIH HHS U10 DA013727NIDA NIH HHS U10 DA013732NIDA NIH HHS U10 DA015815NIDA NIH HHS U10 DA015831NIDA NIH HHS U10 DA020024NIDA NIH HHS U10 DA020036NIDA NIH HHS UG1 DA013034NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA013720NIDA NIH HHS UG1 DA013727NIDA NIH HHS UG1 DA013732NIDA NIH HHS UG1 DA015815NIDA NIH HHS UG1 DA015831NIDA NIH HHS UG1 DA020024NIMH NIH HHS P30 MH043520
6 · The paper itself

Abstract

backgroundUnder the Affordable Care Act, hospitals receive reduced reimbursements for excessive 30-day readmissions. However, the Centers for Medicare and Medicaid Services does not consider social and behavioral variables in expected readmission rate calculations, which may unfairly penalize systems caring for socially disadvantaged patients, including patients with HIV.

settingRandomized controlled trial of patient navigation with or without financial incentives in HIV-positive substance users recruited from the inpatient setting at 11 US hospitals.

methodsExternal validation of an existing 30-day readmission prediction model, using variables available in the electronic health record (EHR-only model), in a new multicenter cohort of HIV-positive substance users was assessed by C-statistic and Hosmer-Lemeshow testing. A second model evaluated sociobehavioral factors in improving the prediction model (EHR-plus model) using multivariable regression and C-statistic with cross-validation.

resultsThe mean age of the cohort was 44.1 years, and participants were predominantly males (67.4%), non-white (88.0%), and poor (62.8%, <$20,000/year). Overall, 17.5% individuals had a hospital readmission within 30 days of initial hospital discharge. The EHR-only model resulted in a C-statistic of 0.65 (95% confidence interval: 0.60 to 0.70). Inclusion of additional sociobehavioral variables, food insecurity and readiness for substance use treatment, in the EHR-plus model resulted in a C-statistic of 0.74 (0.71 after cross-validation, 95% confidence interval: 0.64 to 0.77).

conclusionsIncorporation of detailed social and behavioral variables substantially improved the performance of a 30-day readmission prediction model for hospitalized HIV-positive substance users. Our findings highlight the importance of social determinants in readmission risk and the need to ask about, adjust for, and address them.

Indexed as

Electronic Health RecordsPatient ReadmissionAdultCohort StudiesFemaleHIV InfectionsHumansMaleModels, TheoreticalRisk AssessmentRisk FactorsSubstance-Related DisordersTime FactorsUnited States

Identifiers

PMID30763292
PMCPMC6488219

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.