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, Wendy S. Armstrong, Eric S. Daar, Meg Sullivan, Carlos Del Rio, Ethan A. Halm

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Under 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. SETTING: Randomized controlled trial of patient navigation with or without financial incentives in HIV-positive substance users recruited from the inpatient setting at 11 US hospitals. METHODS: External 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. RESULTS: The 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). CONCLUSIONS: Incorporation 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.

Original languageEnglish (US)
Pages (from-to)330-341
Number of pages12
JournalJournal of acquired immune deficiency syndromes (1999)
Volume80
Issue number3
DOIs
StatePublished - Mar 1 2019

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Patient Readmission
Electronic Health Records
Substance-Related Disorders
HIV
Patient Navigation
Patient Protection and Affordable Care Act
Confidence Intervals
Centers for Medicare and Medicaid Services (U.S.)
Food Supply
Vulnerable Populations
Motivation
Inpatients
Randomized Controlled Trials
Therapeutics

ASJC Scopus subject areas

  • Infectious Diseases
  • Pharmacology (medical)

Cite this

Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder : Beyond Electronic Health Record Data. / Nijhawan, Ank E.; Metsch, Lisa R.; Zhang, Song; Feaster, Daniel J; Gooden, Lauren; Jain, Mamta K.; Walker, Robrina; Huffaker, Shannon; Mugavero, Michael J.; Jacobs, Petra; Armstrong, Wendy S.; Daar, Eric S.; Sullivan, Meg; Del Rio, Carlos; Halm, Ethan A.

In: Journal of acquired immune deficiency syndromes (1999), Vol. 80, No. 3, 01.03.2019, p. 330-341.

Research output: Contribution to journalArticle

Nijhawan, AE, Metsch, LR, Zhang, S, Feaster, DJ, Gooden, L, Jain, MK, Walker, R, Huffaker, S, Mugavero, MJ, Jacobs, P, Armstrong, WS, Daar, ES, Sullivan, M, Del Rio, C & Halm, EA 2019, 'Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder: Beyond Electronic Health Record Data', Journal of acquired immune deficiency syndromes (1999), vol. 80, no. 3, pp. 330-341. https://doi.org/10.1097/QAI.0000000000001925
Nijhawan, Ank E. ; Metsch, Lisa R. ; Zhang, Song ; Feaster, Daniel J ; Gooden, Lauren ; Jain, Mamta K. ; Walker, Robrina ; Huffaker, Shannon ; Mugavero, Michael J. ; Jacobs, Petra ; Armstrong, Wendy S. ; Daar, Eric S. ; Sullivan, Meg ; Del Rio, Carlos ; Halm, Ethan A. / Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder : Beyond Electronic Health Record Data. In: Journal of acquired immune deficiency syndromes (1999). 2019 ; Vol. 80, No. 3. pp. 330-341.
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abstract = "BACKGROUND: Under 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. SETTING: Randomized controlled trial of patient navigation with or without financial incentives in HIV-positive substance users recruited from the inpatient setting at 11 US hospitals. METHODS: External 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. RESULTS: The 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). CONCLUSIONS: Incorporation 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.",
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AU - Feaster, Daniel J

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AU - Huffaker, Shannon

AU - Mugavero, Michael J.

AU - Jacobs, Petra

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N2 - BACKGROUND: Under 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. SETTING: Randomized controlled trial of patient navigation with or without financial incentives in HIV-positive substance users recruited from the inpatient setting at 11 US hospitals. METHODS: External 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. RESULTS: The 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). CONCLUSIONS: Incorporation 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.

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