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Journal Article

Citation

Reyes-Portillo JA, Chin EM, Toso-Salman J, Blake Turner J, Vawdrey D, Mufson L. Child Youth Care Forum 2018; 47(3): 391-402.

Copyright

(Copyright © 2018, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s10566-018-9435-4

PMID

unavailable

Abstract

BACKGROUND: No study to date has examined the effectiveness of integrating clinical decision support tools, like electronic health record (EHR) alerts, into the clinical care of youth at-risk for suicide.

OBJECTIVE: This study aimed to examine the feasibility and acceptability of using an EHR alert to increase clinicians' use of safety planning with youth at-risk for suicide in an outpatient pediatric psychiatry clinic serving an urban low-income Latino community.

METHODS: An alert intervention was developed to remind clinicians to complete a safety plan whenever they documented that their patient endorsed suicidal ideation, plan, or attempt during a visit in EHR notes. The alert appeared as a separate window containing a reminder message to complete a safety plan once a clinician finished visit documentation.

RESULTS: There were 69 at-risk patients between the ages of 13-21 in the intervention period (M = 15.71; SD = 1.86; 66.7% female) and 64 (M = 15.38; SD = 1.93; 68.6% female) in the control period. Logistic regression analyses indicated that patients in the intervention period were significantly more likely than patients in the control period to receive a safety plan (p < .01). The pattern of results remained the same after adjusting for demographic variables (p = .01). Forty clinicians also completed a questionnaire assessing their satisfaction with the EHR alert, indicating moderate satisfaction (M = 3.01; SD = 0.63; range = 1.11-4.11).

CONCLUSIONS: EHR alerts are associated with changes in clinicians' behavior and improved compliance with best clinical practices for at-risk youth. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.


Language: en

Keywords

Adolescent; Suicide prevention; Safety planning; Clinical decision support; Health information technology

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