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Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment

BACKGROUND AND OBJECTIVES: Substance use disorders (SUDs) usually involve a complex natural trajectory of recovery alternating with symptom reoccurrence. This study examined treatment course patterns over time in a community SUD clinic. We examined depressive symptoms level, primary SUD assigned at...

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Autores principales: Argyriou, Evangelia, Bakoyannis, Giorgos, Wu, Wei, Rattermann, Mary Jo, Cyders, Melissa A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836276/
https://www.ncbi.nlm.nih.gov/pubmed/36634070
http://dx.doi.org/10.1371/journal.pone.0280407
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author Argyriou, Evangelia
Bakoyannis, Giorgos
Wu, Wei
Rattermann, Mary Jo
Cyders, Melissa A.
author_facet Argyriou, Evangelia
Bakoyannis, Giorgos
Wu, Wei
Rattermann, Mary Jo
Cyders, Melissa A.
author_sort Argyriou, Evangelia
collection PubMed
description BACKGROUND AND OBJECTIVES: Substance use disorders (SUDs) usually involve a complex natural trajectory of recovery alternating with symptom reoccurrence. This study examined treatment course patterns over time in a community SUD clinic. We examined depressive symptoms level, primary SUD assigned at each admission, and lifetime misuse of multiple substances as potential risk factors for premature treatment termination and subsequent treatment readmission. METHODS: De-identified longitudinal data were extracted from charts of 542 patients from an SUD treatment center. Survival analysis methods were applied to predict two time-to-event outcomes: premature treatment termination and treatment readmission. RESULTS: Primary opioid (vs alcohol) use disorder diagnosis at admission was associated with higher hazard of premature termination (HR = 1.91, p<0.001). The interaction between depressive symptoms level and substance use status (multiple vs single use) on treatment readmission was significant (p = 0.024), such that higher depressive symptoms level was predictive of readmission only among those with a history of single substance use (marginally significant effect). Lifetime use of multiple (vs single) substances (HR = 1.55, p = 0.002) and age (HR = 1.01, p = 0.019) predicted increased hazard of readmission. CONCLUSIONS: Findings did not support a universal role for depressive symptoms level in treatment course patterns. Primary SUD diagnosis, age, and history of substance misuse can be easily assessed and incorporated into treatment planning to support SUD patients and families. This study is the first to our knowledge that afforded a stringent test of these relationships and their interactions in a time-dependent, recurrent event, competing risks survival analysis examining both termination and readmission patterns utilizing a real-world clinic-based sample.
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spelling pubmed-98362762023-01-13 Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment Argyriou, Evangelia Bakoyannis, Giorgos Wu, Wei Rattermann, Mary Jo Cyders, Melissa A. PLoS One Research Article BACKGROUND AND OBJECTIVES: Substance use disorders (SUDs) usually involve a complex natural trajectory of recovery alternating with symptom reoccurrence. This study examined treatment course patterns over time in a community SUD clinic. We examined depressive symptoms level, primary SUD assigned at each admission, and lifetime misuse of multiple substances as potential risk factors for premature treatment termination and subsequent treatment readmission. METHODS: De-identified longitudinal data were extracted from charts of 542 patients from an SUD treatment center. Survival analysis methods were applied to predict two time-to-event outcomes: premature treatment termination and treatment readmission. RESULTS: Primary opioid (vs alcohol) use disorder diagnosis at admission was associated with higher hazard of premature termination (HR = 1.91, p<0.001). The interaction between depressive symptoms level and substance use status (multiple vs single use) on treatment readmission was significant (p = 0.024), such that higher depressive symptoms level was predictive of readmission only among those with a history of single substance use (marginally significant effect). Lifetime use of multiple (vs single) substances (HR = 1.55, p = 0.002) and age (HR = 1.01, p = 0.019) predicted increased hazard of readmission. CONCLUSIONS: Findings did not support a universal role for depressive symptoms level in treatment course patterns. Primary SUD diagnosis, age, and history of substance misuse can be easily assessed and incorporated into treatment planning to support SUD patients and families. This study is the first to our knowledge that afforded a stringent test of these relationships and their interactions in a time-dependent, recurrent event, competing risks survival analysis examining both termination and readmission patterns utilizing a real-world clinic-based sample. Public Library of Science 2023-01-12 /pmc/articles/PMC9836276/ /pubmed/36634070 http://dx.doi.org/10.1371/journal.pone.0280407 Text en © 2023 Argyriou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Argyriou, Evangelia
Bakoyannis, Giorgos
Wu, Wei
Rattermann, Mary Jo
Cyders, Melissa A.
Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title_full Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title_fullStr Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title_full_unstemmed Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title_short Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
title_sort individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836276/
https://www.ncbi.nlm.nih.gov/pubmed/36634070
http://dx.doi.org/10.1371/journal.pone.0280407
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