Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service

被引:23
作者
Thompson, Hale M. [1 ]
Faig, Walter [1 ]
VanKim, Nicole A. [2 ]
Sharma, Brihat [1 ]
Afshar, Majid [3 ]
Karnik, Niranjan S. [1 ]
机构
[1] Rush Univ, Med Ctr, Dept Psychiat & Behav Sci, Sect Community Behav Hlth, Chicago, IL 60612 USA
[2] Univ Massachusetts Amherst, Dept Biostat & Epidemiol, Sch Publ Hlth & Hlth Sci, Amherst, MA USA
[3] Loyola Univ, Div Pulm & Crit Care, Dept Publ Hlth Sci, Ctr Hlth Outcomes & Informat Res, Maywood, IL 60153 USA
来源
PLOS ONE | 2020年 / 15卷 / 10期
基金
美国医疗保健研究与质量局;
关键词
ADDICTION CONSULTATION; HOSPITALIZED-PATIENTS; CARE; BUPRENORPHINE; PERSPECTIVES; IMPACT; COSTS;
D O I
10.1371/journal.pone.0239761
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Addiction medicine consultation services (ACS) may improve outcomes of hospitalized patients with substance use disorders (SUD). Our aim was to examine the difference in length of stay and the hazard ratio for a routine hospital discharge between SUD patients receiving and not receiving ACS. Methods Structured EHR data from 2018 of 1,900 adult patients with a SUD-related diagnostic code at an urban academic health center were examined among 35,541 total encounters. Cox proportional hazards regression models were fit using a cause-specific approach to examine differences in hospital outcome (i.e., routine discharge, leaving against medical advice, in-hospital death, or transfer to another level of care). Models were adjusted for age, sex, race, ethnicity, insurance status, and comorbidities. Results Length of stay was shorter among encounters with a SUD that received a SUIT consultation versus those admissions that did not receive one (5.77 v. 6.54 days, p<0.01). In adjusted analyses, admissions that received a SUIT consultation had a higher hazard of a routine discharge [hazard ratio (95% confidence interval): 1.16 (1.03-1.30)] compared to those not receiving a SUIT consultation. Conclusions The SUIT consultation service was associated with a reduced length of stay and an increased hazard of a routine discharge. The SUIT model may serve as a benchmark and inform other health systems attempting to improve outcomes in SUD patient cohorts.
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页数:12
相关论文
共 41 条
  • [1] The Affordable Care Act Transformation of Substance Use Disorder Treatment
    Abraham, Amanda J.
    Andrews, Christina M.
    Grogan, Colleen M.
    D'Aunno, Thomas
    Humphreys, Keith N.
    Pollack, Harold A.
    Friedmann, Peter D.
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 2017, 107 (01) : 31 - 32
  • [2] Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation
    Afshar, Majid
    Phillips, Andrew
    Karnik, Niranjan
    Mueller, Jeanne
    To, Daniel
    Gonzalez, Richard
    Price, Ron
    Cooper, Richard
    Joyce, Cara
    Dligach, Dmitriy
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (03) : 254 - 261
  • [3] Alcala H. E., INSURANCE TYPES USUA, DOI [10.3122/jabfm.2020.04.190419, DOI 10.3122/JABFM.2020.04.190419]
  • [4] Allison P., 2018, For causal analysis of competing risks, don't use Fine & Gray's subdistribution method
  • [5] Despite Resources From The ACA, Most States Do Little To Help Addiction Treatment Programs Implement Health Care Reform
    Andrews, Christina
    Abraham, Amanda
    Grogan, Colleen M.
    Pollack, Harold A.
    Bersamira, Clifford
    Humphreys, Keith
    Friedmann, Peter
    [J]. HEALTH AFFAIRS, 2015, 34 (05) : 828 - 835
  • [6] [Anonymous], 2018, Obstet Gynecol, V131, pe49, DOI 10.1097/AOG.0000000000002501
  • [7] [Anonymous], 2017, Japanese Classification of Esophageal Cancer, DOI DOI 10.1007/S10388-016-0551-7
  • [8] [Anonymous], 2013, CAN J DIABETES S3, V37, pS357
  • [9] Practical recommendations for reporting Fine-Gray model analyses for competing risk data
    Austin, Peter C.
    Fine, Jason P.
    [J]. STATISTICS IN MEDICINE, 2017, 36 (27) : 4391 - 4400
  • [10] Introduction to the Analysis of Survival Data in the Presence of Competing Risks
    Austin, Peter C.
    Lee, Douglas S.
    Fine, Jason P.
    [J]. CIRCULATION, 2016, 133 (06) : 601 - 609