Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units

Samantha A. Wong; Lucie A. Duffy; Savannah D. Layfield; Marina Long; Fernando Rodriguez-Villa; Steven E. Gelda; Eliot M. Gelwan; Dawn E. Sugarman; Alisa Busch; Jane Eisen; Kerry J. Ressler; Agustin G. Yip

doi:10.1016/j.psychres.2022.114839

Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units

Samantha A. Wong, Lucie A. Duffy, Savannah D. Layfield, Marina Long, Fernando Rodriguez-Villa, Steven E. Gelda, Eliot M. Gelwan, Dawn E. Sugarman, Alisa Busch, Jane Eisen, Kerry J. Ressler, Agustin G. Yip

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Patient-reported measures are an important tool in personalizing care and monitoring clinical outcomes. This work presents results from the routine collection of self-report measures from individuals (n = 753) admitted to depression and anxiety inpatient units at McLean Hospital. 93.7% participated in the Clinical Measurement Initiative (CMI) between September 2020 and February 2022 on the most established unit. The average time between admission and discharge measures was 12.6 days and an attrition rate of 10.4% was observed on this unit. Missingness of discharge assessments was unrelated to symptom severity or comorbidities. We discuss the feasibility of deploying patient-reported measures as part of routine care in an inpatient psychiatric setting. Systematic evaluation of potential treatment modifiers (e.g., personality disorder, trauma history, and substance misuse) may be valuable in better serving those impacted by psychiatric illness.

Original language	English
Article number	114839
Journal	Psychiatry Research
Volume	317
DOIs	https://doi.org/10.1016/j.psychres.2022.114839
State	Published - Nov 2022
Externally published	Yes

Keywords

Anxiety
Assessment
Depression
Inpatient
Self-report
Suicide

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10.1016/j.psychres.2022.114839

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Wong, S. A., Duffy, L. A., Layfield, S. D., Long, M., Rodriguez-Villa, F., Gelda, S. E., Gelwan, E. M., Sugarman, D. E., Busch, A., Eisen, J., Ressler, K. J., & Yip, A. G. (2022). Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units. Psychiatry Research, 317, Article 114839. https://doi.org/10.1016/j.psychres.2022.114839

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title = "Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units",

abstract = "Patient-reported measures are an important tool in personalizing care and monitoring clinical outcomes. This work presents results from the routine collection of self-report measures from individuals (n = 753) admitted to depression and anxiety inpatient units at McLean Hospital. 93.7% participated in the Clinical Measurement Initiative (CMI) between September 2020 and February 2022 on the most established unit. The average time between admission and discharge measures was 12.6 days and an attrition rate of 10.4% was observed on this unit. Missingness of discharge assessments was unrelated to symptom severity or comorbidities. We discuss the feasibility of deploying patient-reported measures as part of routine care in an inpatient psychiatric setting. Systematic evaluation of potential treatment modifiers (e.g., personality disorder, trauma history, and substance misuse) may be valuable in better serving those impacted by psychiatric illness.",

keywords = "Anxiety, Assessment, Depression, Inpatient, Self-report, Suicide",

author = "Wong, {Samantha A.} and Duffy, {Lucie A.} and Layfield, {Savannah D.} and Marina Long and Fernando Rodriguez-Villa and Gelda, {Steven E.} and Gelwan, {Eliot M.} and Sugarman, {Dawn E.} and Alisa Busch and Jane Eisen and Ressler, {Kerry J.} and Yip, {Agustin G.}",

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year = "2022",

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doi = "10.1016/j.psychres.2022.114839",

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AU - Wong, Samantha A.

AU - Duffy, Lucie A.

AU - Layfield, Savannah D.

AU - Long, Marina

AU - Rodriguez-Villa, Fernando

AU - Gelda, Steven E.

AU - Gelwan, Eliot M.

AU - Sugarman, Dawn E.

AU - Busch, Alisa

AU - Eisen, Jane

AU - Ressler, Kerry J.

AU - Yip, Agustin G.

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AB - Patient-reported measures are an important tool in personalizing care and monitoring clinical outcomes. This work presents results from the routine collection of self-report measures from individuals (n = 753) admitted to depression and anxiety inpatient units at McLean Hospital. 93.7% participated in the Clinical Measurement Initiative (CMI) between September 2020 and February 2022 on the most established unit. The average time between admission and discharge measures was 12.6 days and an attrition rate of 10.4% was observed on this unit. Missingness of discharge assessments was unrelated to symptom severity or comorbidities. We discuss the feasibility of deploying patient-reported measures as part of routine care in an inpatient psychiatric setting. Systematic evaluation of potential treatment modifiers (e.g., personality disorder, trauma history, and substance misuse) may be valuable in better serving those impacted by psychiatric illness.

KW - Anxiety

KW - Assessment

KW - Depression

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KW - Suicide

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VL - 317

JO - Psychiatry Research

JF - Psychiatry Research

M1 - 114839

ER -

Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units

Abstract

Keywords

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