Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis.
JMIR Hum Factors
; 10: e48701, 2023 11 03.
Article
em En
| MEDLINE
| ID: mdl-37921853
ABSTRACT
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 (ß=-5.71; P=.03) and the personal distress subscale measure (ß=-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 (ß=-9.22; P=.02), personal distress (ß=-9.44; P=.02), and male clinician gender (ß=-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.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Pacientes Ambulatoriais
/
Transtornos Relacionados ao Uso de Substâncias
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article