Page 118 - AIH-2-1
P. 118

Artificial Intelligence in Health                      ML approach for client and program effects in OUD retention



            9.   Weinstein  ZM,  Kim  HW,  Cheng  DM,  et al.  Long-     doi: 10.1111/ajad.13097
               term retention in office based opioid treatment with   20.  Weller BE, Harrison J, Adkison-Johnson C. Training a
               buprenorphine. J Subst Abuse Treat. 2017;74:65-70.
                                                                  diverse  workforce  to address the  opioid crisis.  Soc Work
               doi: 10.1016/j.jsat.2016.12.010                    Mental Health. 2021;19(6):568-582.
            10.  Acevedo A, Garnick D, Ritter G, Horgan C, Lundgren L. Race/     doi: 10.1080/15332985.2021.1975014
               ethnicity and quality indicators for outpatient treatment for   21.  Guerrero EG, Kong Y, Khachikian T, Wang S, D’Aunno T,
               substance use disorders. Am J Addict. 2015;24(6):523-531.  Howard D.  Workforce Diversity and Disparities in Opioid
               doi: 10.1111/ajad.12256                            Treatment Wait Time and Retention. Research Square.
                                                                  Preprint; 2022.
            11.  Mennis J, Stahler GJ, El Magd SA, Baron DA. How long
               does it take to complete outpatient substance use disorder      doi: 10.21203/rs.3.rs-1651284/v1
               treatment? Disparities among blacks, hispanics, and whites   22.  Alaa A, Schaar M. Limits of estimating heterogeneous
               in the US. Addict Behav. 2019;93:158-165.          treatment effects: Guidelines for practical algorithm design.
               doi: 10.1016/j.addbeh.2019.01.041                  Proc Mach Learn Res. 2018;80:129-38.
            12.  Guerrero EG. Managerial capacity and adoption of culturally   23.  Angus DC, Chang CC. Heterogeneity of treatment effect:
               competent practices in outpatient substance abuse treatment   Estimating how the effects of interventions vary across
               organizations. J Subst Abuse Treat. 2010;39(4):329-339.  individuals. JAMA. 2021;326(22):2312-2313.
               doi: 10.1016/j.jsat.2010.07.004                    doi: 10.1001/jfama.2021.20552
            13.  Guerrero  EG.  Enhancing  access  and  retention  in   24.  Kong Y, Zhou J, Zheng Z, Amaro H, Guerrero EG. Using
               substance abuse treatment: The role of Medicaid payment   machine learning to advance disparities research: Subgroup
               acceptance and cultural competence. Drug Alcohol Depend.   analyses of  access to opioid treatment.  Health Serv Res.
               2013;132(3):555-561.                               2021;57(2):411-421.
               doi: 10.1016/j.drugalcdep.2013.04.005              doi: 10.1111/1475-6773.13896
            14.  Guerrero EG, Campos M, Urada D, Yang JC. Do cultural   25.  Künzel SR, Sekhon JS, Bickel PJ, Yu B. Metalearners for
               and linguistic  competence  matter in  Latinos’  completion   estimating heterogeneous treatment effects using machine
               of mandated substance abuse treatment? Subst Abuse Treat   learning. Proc Natl Acad Sci U S A. 2019;116(10):4156-4165.
               Prev Policy. 2012;7:827-836.                       doi: 10.1073/pnas.1804597116
               doi: 10.1186/1747-597x-7-34                     26.  Hill JL. Bayesian nonparametric modeling for causal
            15.  Guerrero EG, Khachikian T, Kim T, Kong Y, Vega WA.   inference. J Comput Graph Stat. 2011;20(1):217-240.
               Spanish language proficiency among providers and Latino   27.  Grimmer J, Messing S, Westwood SJ. Estimating
               clients’ engagement in substance abuse treatment.  Addict   heterogeneous treatment effects and the effects of
               Behav. 2013;38(12):2893-2897.                      heterogeneous treatments with ensemble methods.  Polit
               doi: 10.1016/j.addbeh.2013.08.022                  Anal. 25(4):413-434.
            16.  Guerrero E, Andrews CM. Cultural competence in      doi: 10.1017/pan.2017.15
               outpatient substance abuse treatment: Measurement and   28.  Athey S, Tibshirani J, Wager S. Generalized random forests.
               relationship to wait time and retention.  Drug Alcohol   Ann Stat. 2019;47(2):1148-1178.
               Depend. 2011;119(1-2):e13-e22.
                                                                  doi: 10.1214/18-AOS1709
               doi: 10.1016/j.drugalcdep.2011.05.020
                                                               29.  Wager S, Athey S. Estimation and inference of heterogeneous
            17.  Howard DL. Are the treatment goals of culturally competent   treatment effects using  random  forests.  J  Am  Stat  Assoc.
               outpatient substance abuse treatment units congruent with   2018;113(523):1228-1242.
               their client profile? J Subst Abuse Treat. 2003;24(2):103-113.
                                                                  doi: 10.1080/01621459.2017.1319839
               doi: 10.1016/s0740-5472(02)00349-5
                                                               30.  D’Aunno T, Park SE, Pollack HA. Evidence-based
            18.  Howard DL. Culturally competent treatment of African   treatment for opioid use disorders: A  national study of
               American clients among a national sample of outpatient   methadone dose levels, 2011-2017.  J  Subst  Abuse  Treat.
               substance abuse treatment units.  J  Subst Abuse Treat.   2019;96:18-22.
               2003;24(2):89-102.
                                                                  doi: 10.1016/j.jsat.2018.10.006
               doi: 10.1016/s0740-5472(02)00348-3
                                                               31.  D’Aunno T, Pollack HA, Frimpong JA, Wuchiett D.
            19.  Jordan A, Jegede O. Building outreach and diversity in the   Evidence-based treatment for opioid disorders: A  23-year
               field of addictions. Am J Addict. 2020;29(5):413-417.  national study of methadone dose levels. J Subst Abuse Treat.


            Volume 2 Issue 1 (2025)                        112                               doi: 10.36922/aih.3750
   113   114   115   116   117   118   119   120   121   122   123