Neuropsychological assessments and psychotherapeutic services in Veterans with multiple sclerosis: Rates of utilization and their associations with socio-demographics and clinical characteristics using Veterans Health Administration-based data.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 03 12 2019
revised: 08 04 2020
accepted: 19 05 2020
pubmed: 2 6 2020
medline: 15 5 2021
entrez: 2 6 2020
Statut: ppublish

Résumé

As cognitive, emotional, and health-related behavioral issues are prevalent among persons with multiple sclerosis (MS), mental health services are a valuable component of comprehensive care. However, it is unknown how many participate in neuropsychological and psychotherapeutic services, and whether the presence of certain co-occurring conditions increase service use. This study aimed to examine the frequency and associated factors (e.g., age, gender, education, race/ethnicity, and co-occurring conditions) of neuropsychological and psychotherapeutic service utilization in the Veterans Health Administration (VHA) among Veterans with MS. Data were extracted from VHA Corporate Data Warehouse as part of the Women Veterans Cohort Study (WVCS), a longitudinal project with Veterans who served during the Iraq and Afghanistan conflicts. Participants (n = 1,686) were Veterans from the overall WVCS dataset who had three or more VHA MS-related encounters (inpatient, outpatient, and/or disease modifying therapy) within one calendar year between fiscal years 2010 and 2015. Neuropsychological assessment participation was identified by procedural codes 96118 and 96119, while psychotherapeutic services were defined using 90804, 90806, 90808, 96150, 96151, and 96152. Bivariate analyses were conducted to identify socio-demographics and clinical characteristics that differed between Veterans who did and did not use these services. Service dates were compared to the diagnosis dates of the co-occurring conditions to determine whether the majority of the diagnoses preceded the service (e.g., a recognized problem) or were coded the day of or after the initial appointment (e.g., a suspected problem), which informed what co-occurring conditions and participants were included in the subsequent logistic regressions. Two hundred eighty-one Veterans (16.67%) participated in a neuropsychological assessment. Veterans who had an evaluation had higher rates of several co-occurring conditions (ps <0.01), though no significant relationships emerged with any of the socio-demographic variables and participation. After controlling for age, gender, education, and race/ethnicity, two previously diagnosed co-occurring conditions predicted service utilization: traumatic brain injuries (TBIs; OR: 2.33, 95% CI: 1.60, 3.35) and mood disorders (i.e., depressive and bipolar disorders; OR: 1.71, 95% CI: 1.26, 2.31). Psychotherapeutic service usage was more common, occurring in over 45% (n = 771) of the sample. Service utilization was associated with several co-occurring conditions (ps <0.001), as well as level of education (p = .003). Focusing on participants who were diagnosed the day of or after the initial encounter, five co-occurring conditions were predictors of psychotherapeutic service use: mood disorders (OR: 1.81, 95% CI: 1.34, 2.46), anxiety disorders (OR: 1.38, 95% CI: 1.03, 1.85), sleep disorders (OR: 1.55, 95% CI: 1.19, 2.01), alcohol-related disorders (OR: 3.29, 95% CI: 1.79, 6.21), and cognitive disorders (OR: 3.72, 95% CI: 2.29, 6.16). These findings suggest that these services are being utilized by clinicians and Veterans to address the clinical complexity related to having MS and one or more of these other conditions.

Sections du résumé

BACKGROUND BACKGROUND
As cognitive, emotional, and health-related behavioral issues are prevalent among persons with multiple sclerosis (MS), mental health services are a valuable component of comprehensive care. However, it is unknown how many participate in neuropsychological and psychotherapeutic services, and whether the presence of certain co-occurring conditions increase service use. This study aimed to examine the frequency and associated factors (e.g., age, gender, education, race/ethnicity, and co-occurring conditions) of neuropsychological and psychotherapeutic service utilization in the Veterans Health Administration (VHA) among Veterans with MS.
METHODS METHODS
Data were extracted from VHA Corporate Data Warehouse as part of the Women Veterans Cohort Study (WVCS), a longitudinal project with Veterans who served during the Iraq and Afghanistan conflicts. Participants (n = 1,686) were Veterans from the overall WVCS dataset who had three or more VHA MS-related encounters (inpatient, outpatient, and/or disease modifying therapy) within one calendar year between fiscal years 2010 and 2015. Neuropsychological assessment participation was identified by procedural codes 96118 and 96119, while psychotherapeutic services were defined using 90804, 90806, 90808, 96150, 96151, and 96152. Bivariate analyses were conducted to identify socio-demographics and clinical characteristics that differed between Veterans who did and did not use these services. Service dates were compared to the diagnosis dates of the co-occurring conditions to determine whether the majority of the diagnoses preceded the service (e.g., a recognized problem) or were coded the day of or after the initial appointment (e.g., a suspected problem), which informed what co-occurring conditions and participants were included in the subsequent logistic regressions.
RESULTS RESULTS
Two hundred eighty-one Veterans (16.67%) participated in a neuropsychological assessment. Veterans who had an evaluation had higher rates of several co-occurring conditions (ps <0.01), though no significant relationships emerged with any of the socio-demographic variables and participation. After controlling for age, gender, education, and race/ethnicity, two previously diagnosed co-occurring conditions predicted service utilization: traumatic brain injuries (TBIs; OR: 2.33, 95% CI: 1.60, 3.35) and mood disorders (i.e., depressive and bipolar disorders; OR: 1.71, 95% CI: 1.26, 2.31). Psychotherapeutic service usage was more common, occurring in over 45% (n = 771) of the sample. Service utilization was associated with several co-occurring conditions (ps <0.001), as well as level of education (p = .003). Focusing on participants who were diagnosed the day of or after the initial encounter, five co-occurring conditions were predictors of psychotherapeutic service use: mood disorders (OR: 1.81, 95% CI: 1.34, 2.46), anxiety disorders (OR: 1.38, 95% CI: 1.03, 1.85), sleep disorders (OR: 1.55, 95% CI: 1.19, 2.01), alcohol-related disorders (OR: 3.29, 95% CI: 1.79, 6.21), and cognitive disorders (OR: 3.72, 95% CI: 2.29, 6.16).
CONCLUSIONS CONCLUSIONS
These findings suggest that these services are being utilized by clinicians and Veterans to address the clinical complexity related to having MS and one or more of these other conditions.

Identifiants

pubmed: 32480347
pii: S2211-0348(20)30296-0
doi: 10.1016/j.msard.2020.102220
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102220

Informations de copyright

Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declarations of Competing Interest None.

Auteurs

Elizabeth S Gromisch (ES)

Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA; VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA; Frank H. Netter School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT, 06473, USA. Electronic address: elizabeth.gromisch@trinityhealthofne.org.

Joseph F Kulas (JF)

VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.

Hamada Altalib (H)

VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.

Robert D Kerns (RD)

VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA; Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.

Kristin M Mattocks (KM)

VA Central Western Massachusetts Healthcare System, 421 North Main Street, Leeds, MA, 01053, USA; University of Massachusetts Medical School, 55 N Lake Avenue, Worcester, MA, 01655, USA.

Cynthia A Brandt (CA)

VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA; Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.

Sally Haskell (S)

VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA; Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA; Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.

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Classifications MeSH