TY  - JOUR
PY  - 2022//
TI  - Using electronic patient-reported measures to characterize symptoms and improvement in inpatient psychiatric units
JO  - Psychiatry research
A1  - Wong, Samantha A.
A1  - Duffy, Lucie A.
A1  - Layfield, Savannah D.
A1  - Long, Marina
A1  - Rodriguez-Villa, Fernando
A1  - Gelda, Steven E.
A1  - Gelwan, Eliot M.
A1  - Sugarman, Dawn E.
A1  - Busch, Alisa
A1  - Eisen, Jane
A1  - Ressler, Kerry J.
A1  - Yip, Agustin G.
SP  - 114839
EP  - 114839
VL  - 317
IS  - 
N2  - 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.<p /> <p>Language: en</p>
LA  - en
SN  - 0165-1781
UR  - http://dx.doi.org/10.1016/j.psychres.2022.114839
ID  - ref1
ER  -