Suzanne E Spear1. 1. University of Southern California, School of Social Work, USA. Electronic address: spearse@usc.edu.
Abstract
BACKGROUND: The high cost of detoxification (detox) services and health risks associated with continued substance abuse make readmission to detox an important indicator of poor performance for substance use disorder treatment systems. This study examined the extent to which the structure of local networks available to detox programs affects patients' odds of readmission to detox within 1 year. METHODS: Administrative data from 32 counties in California in 2008-2009 were used to map network ties between programs based on patient transfers. Social network analysis was employed to measure structural features of detox program networks. Contextual predictors included efficiency (proportion of ties within a network that are non-redundant) and out-degree (number of outgoing ties to other programs). A binary mixed model was used to predict the odds of readmission among detox patients in residential (non-hospital) facilities (N=18,278). RESULTS: After adjusting for patient-level covariates and continuity of service from detox to outpatient or residential treatment, network efficiency was associated with lower odds of readmission. CONCLUSION: The impact of network structure on detox readmissions suggests that the interorganizational context in which detox programs operate may be important for improving continuity of service within substance use disorder treatment systems. Implications for future research are discussed.
BACKGROUND: The high cost of detoxification (detox) services and health risks associated with continued substance abuse make readmission to detox an important indicator of poor performance for substance use disorder treatment systems. This study examined the extent to which the structure of local networks available to detox programs affects patients' odds of readmission to detox within 1 year. METHODS: Administrative data from 32 counties in California in 2008-2009 were used to map network ties between programs based on patient transfers. Social network analysis was employed to measure structural features of detox program networks. Contextual predictors included efficiency (proportion of ties within a network that are non-redundant) and out-degree (number of outgoing ties to other programs). A binary mixed model was used to predict the odds of readmission among detox patients in residential (non-hospital) facilities (N=18,278). RESULTS: After adjusting for patient-level covariates and continuity of service from detox to outpatient or residential treatment, network efficiency was associated with lower odds of readmission. CONCLUSION: The impact of network structure on detox readmissions suggests that the interorganizational context in which detox programs operate may be important for improving continuity of service within substance use disorder treatment systems. Implications for future research are discussed.
Authors: R Rosenheck; J Morrissey; J Lam; M Calloway; M Stolar; M Johnsen; F Randolph; M Blasinsky; H Goldman Journal: Health Serv Res Date: 2001-08 Impact factor: 3.402
Authors: James D Wines; Richard Saitz; Nicholas J Horton; Christine Lloyd-Travaglini; Jeffrey H Samet Journal: Drug Alcohol Depend Date: 2007-02-05 Impact factor: 4.492
Authors: Andrea Acevedo; Margaret T Lee; Deborah W Garnick; Constance M Horgan; Grant A Ritter; Lee Panas; Kevin Campbell; Jason Bean-Mortinson Journal: Drug Alcohol Depend Date: 2017-12-16 Impact factor: 4.492
Authors: Alexandra Savinkina; Rajapaksha W M A Madushani; Golnaz Eftekhari Yazdi; Jianing Wang; Joshua A Barocas; Jake R Morgan; Sabrina A Assoumou; Alexander Y Walley; Benjamin P Linas; Sean M Murphy Journal: Addiction Date: 2022-04-12 Impact factor: 7.256
Authors: Alexander Y Walley; Sara Lodi; Yijing Li; Dana Bernson; Hermik Babakhanlou-Chase; Thomas Land; Marc R Larochelle Journal: Addiction Date: 2020-02-25 Impact factor: 6.526
Authors: Margaret T Lee; Constance M Horgan; Deborah W Garnick; Andrea Acevedo; Lee Panas; Grant A Ritter; Robert Dunigan; Hermik Babakhanlou-Chase; Alfred Bidorini; Kevin Campbell; Karin Haberlin; Alice Huber; Dawn Lambert-Wacey; Tracy Leeper; Mark Reynolds Journal: J Subst Abuse Treat Date: 2014-05-02
Authors: Amity E Quinn; Dominic Hodgkin; Jennifer N Perloff; Maureen T Stewart; Mary Brolin; Nancy Lane; Constance M Horgan Journal: J Subst Abuse Treat Date: 2017-09-21
Authors: Maria E Torres; Mary Brolin; Lee Panas; Grant Ritter; Dominic Hodgkin; Margaret Lee; Elizabeth Merrick; Constance Horgan; Jonna C Hopwood; Andrea Gewirtz; Natasha De Marco; Nancy Lane Journal: BMC Health Serv Res Date: 2020-11-03 Impact factor: 2.655