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Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis
BACKGROUND: The use of virtual treatment services increased dramatically during the COVID-19 pandemic. Unfortunately, large-scale research on virtual treatment for substance use disorder (SUD), including factors that may influence outcomes, has not advanced with the rapidly changing landscape. OBJEC...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656667/ https://www.ncbi.nlm.nih.gov/pubmed/37921853 http://dx.doi.org/10.2196/48701 |
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author | Welsh, Justine W Sitar, Siara I Parks, Michael J Patton, Samantha C Braughton, Jacqueline E Waller, Lance A Ngo, Quyen M |
author_facet | Welsh, Justine W Sitar, Siara I Parks, Michael J Patton, Samantha C Braughton, Jacqueline E Waller, Lance A Ngo, Quyen M |
author_sort | Welsh, Justine W |
collection | PubMed |
description | BACKGROUND: The use of virtual treatment services increased dramatically during the COVID-19 pandemic. Unfortunately, large-scale research on virtual treatment for substance use disorder (SUD), including factors that may influence outcomes, has not advanced with the rapidly changing landscape. OBJECTIVE: This study aims to evaluate the link between clinician-level factors and patient outcomes in populations receiving virtual and in-person intensive outpatient services. METHODS: Data came from patients (n=1410) treated in a virtual intensive outpatient program (VIOP) and an in-person intensive outpatient program (IOP), who were discharged between January 2020 and March 2021 from a national treatment organization. Patient data were nested by treatment providers (n=58) examining associations with no-shows and discharge with staff approval. Empathy, comfort with technology, perceived stress, resistance to change, and demographic covariates were examined at the clinician level. RESULTS: The VIOP (β=–5.71; P=.03) and the personal distress subscale measure (β=–6.31; P=.003) were negatively associated with the percentage of no-shows. The VIOP was positively associated with discharges with staff approval (odds ratio [OR] 2.38, 95% CI 1.50-3.76). Clinician scores on perspective taking (β=–9.22; P=.02), personal distress (β=–9.44; P=.02), and male clinician gender (β=–6.43; P=.04) were negatively associated with in-person no-shows. Patient load was positively associated with discharge with staff approval (OR 1.04, 95% CI 1.02-1.06). CONCLUSIONS: Overall, patients in the VIOP had fewer no-shows and a higher rate of successful discharge. Few clinician-level characteristics were significantly associated with patient outcomes. Further research is necessary to understand the relationships among factors such as clinician gender, patient load, personal distress, and patient retention. |
format | Online Article Text |
id | pubmed-10656667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-106566672023-11-03 Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis Welsh, Justine W Sitar, Siara I Parks, Michael J Patton, Samantha C Braughton, Jacqueline E Waller, Lance A Ngo, Quyen M JMIR Hum Factors Original Paper BACKGROUND: The use of virtual treatment services increased dramatically during the COVID-19 pandemic. Unfortunately, large-scale research on virtual treatment for substance use disorder (SUD), including factors that may influence outcomes, has not advanced with the rapidly changing landscape. OBJECTIVE: This study aims to evaluate the link between clinician-level factors and patient outcomes in populations receiving virtual and in-person intensive outpatient services. METHODS: Data came from patients (n=1410) treated in a virtual intensive outpatient program (VIOP) and an in-person intensive outpatient program (IOP), who were discharged between January 2020 and March 2021 from a national treatment organization. Patient data were nested by treatment providers (n=58) examining associations with no-shows and discharge with staff approval. Empathy, comfort with technology, perceived stress, resistance to change, and demographic covariates were examined at the clinician level. RESULTS: The VIOP (β=–5.71; P=.03) and the personal distress subscale measure (β=–6.31; P=.003) were negatively associated with the percentage of no-shows. The VIOP was positively associated with discharges with staff approval (odds ratio [OR] 2.38, 95% CI 1.50-3.76). Clinician scores on perspective taking (β=–9.22; P=.02), personal distress (β=–9.44; P=.02), and male clinician gender (β=–6.43; P=.04) were negatively associated with in-person no-shows. Patient load was positively associated with discharge with staff approval (OR 1.04, 95% CI 1.02-1.06). CONCLUSIONS: Overall, patients in the VIOP had fewer no-shows and a higher rate of successful discharge. Few clinician-level characteristics were significantly associated with patient outcomes. Further research is necessary to understand the relationships among factors such as clinician gender, patient load, personal distress, and patient retention. JMIR Publications 2023-11-03 /pmc/articles/PMC10656667/ /pubmed/37921853 http://dx.doi.org/10.2196/48701 Text en ©Justine W Welsh, Siara I Sitar, Michael J Parks, Samantha C Patton, Jacqueline E Braughton, Lance A Waller, Quyen M Ngo. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 03.11.2023. 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 work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Welsh, Justine W Sitar, Siara I Parks, Michael J Patton, Samantha C Braughton, Jacqueline E Waller, Lance A Ngo, Quyen M Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title | Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title_full | Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title_fullStr | Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title_full_unstemmed | Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title_short | Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis |
title_sort | association between clinician-level factors and patient outcomes in virtual and in-person outpatient treatment for substance use disorders: multilevel analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656667/ https://www.ncbi.nlm.nih.gov/pubmed/37921853 http://dx.doi.org/10.2196/48701 |
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