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Accepted for/Published in: JMIR Mental Health

Date Submitted: Aug 23, 2021
Date Accepted: Jan 24, 2022

The final, peer-reviewed published version of this preprint can be found here:

Treatment Interruptions and Telemedicine Utilization in Serious Mental Illness: Retrospective Longitudinal Claims Analysis

Ainslie M, Brunette MF, Capozzoli M

Treatment Interruptions and Telemedicine Utilization in Serious Mental Illness: Retrospective Longitudinal Claims Analysis

JMIR Ment Health 2022;9(3):e33092

DOI: 10.2196/33092

PMID: 35311673

PMCID: 8981005

Treatment interruptions and telemedicine utilization in serious mental illness: A retrospective, longitudinal claims analysis

  • Marcy Ainslie; 
  • Mary F. Brunette; 
  • Michelle Capozzoli

ABSTRACT

Background:

Serious mental illness is personally and financially costly. Avoiding interruptions and dropout in outpatient care can prevent mental illness symptom exacerbation and costly crisis services, such as emergency room visits and in-patient psychiatric hospitalization. During the Covid-19 pandemic, care continuity increasingly attempted with telemedicine services, despite the lack of efficacy data in this population. SMI patients are challenging to enroll and sustain in randomized, controlled trials over time due to fluctuations of disease exacerbation. Capturing and examining the utilization and efficacy data in Community Mental Health Clinic (CMHC) SMI patients during the pandemic is a unique opportunity to inform future clinical and policy decision making.

Objective:

This research aims to identify and describe characteristics of CMHC patients challenged by serious mental illness experiencing treatment interruptions and who utilized telemedicine during the pandemic.

Methods:

This retrospective, observational study of treatment interruptions and telemedicine use during 12/2019-6/2020 (compared to 12/2018-6/2019) in New Hampshire (NH) CMHC patients included all 16,030 Medicaid beneficiaries with SMI engaged in treatment three months prior to the declared COVID-19 State of Emergency. Chi-square test of independence and logistical regression analysis explored associations between treatment interruptions and variables of gender, age, rurality, and diagnosis. Telemedicine utilization was categorized into <25% of services, 25-75% of services, and >75% of services. Cohorts of low, medium, and high telemedicine use are described by variables of gender, age, rurality, and diagnosis.

Results:

Despite the worst pandemic in 100 years, NH CMHCs demonstrated only a 4.9% increase in treatment interruptions as compared to the year prior. Patients who were male (OR 1.27, P<.001), under the age of 18 (OR 1.37, P <.001 ages 0-12; OR 1.49, P <.001 ages 13-17), or among the milder diagnostic categories, such as anxiety disorders (OR 3.77, P <.001) and PTSD (OR 3.69, P <.001), were most likely to experience treatment interruptions. Females (OR .89, CI .65-.74), those 18-34 years old (OR .74, CI .70-.79), or among the milder diagnostic categories such as anxiety disorder (OR .69, CI .65-.74), PTSD (OR .77, CI .72-.83), and major depressive disorder (OR .73, CI .68-.78) were less likely to be in the low utilization telemedicine group.

Conclusions:

Telemedicine integration supported care continuity for most CMHC patients. Yet, retention varied by sub-population, as did telemedicine utilization. Development of polices and clinical practice requires empirical evidence evaluating the effectiveness and limitations of telemedicine in patients with SMI.


 Citation

Please cite as:

Ainslie M, Brunette MF, Capozzoli M

Treatment Interruptions and Telemedicine Utilization in Serious Mental Illness: Retrospective Longitudinal Claims Analysis

JMIR Ment Health 2022;9(3):e33092

DOI: 10.2196/33092

PMID: 35311673

PMCID: 8981005

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.