Belmont University Research Symposium (BURS)

Publication Date

Spring 3-24-2024

College

Health Sciences & Nursing, Gordon E. Inman College of

Department

Nursing, School of

BURS Faculty Advisor

Kathryn Dambrino DNP, APRN, FNP-BC

Presentation Type

Poster Presentation

Abstract

Background: Suicide is a leading cause of death among college age students, prompting the need for evidence-based screening tools like the Columbia Suicide Severity Rating Scale (C-SSRS) to enable early detection and timely intervention. Inconsistencies in suicide screening may pose a risk of missed intervention opportunities. This Doctor of Nursing Practice project specifically aimed to improve the quality and consistency of suicide screening in a university student health clinic by implementing the C-SSRS tool into the clinic workflow during mental health appointments. Methods: Employing a quality improvement framework, this scholarly project followed the Institute for Healthcare Improvement Model for Improvement and the Plan-Do-Study-Act cycle. The C-SSRS was chosen as the evidence-based screening tool following a literature review and stakeholder meetings. Interventions: The project implemented a standardized suicide screening process using the C-SSRS during mental health appointments. Interventions included staff education, electronic health record template development, and clinic rounding for staff support. Staff attitudes were surveyed at the end of implementation. Results: Monthly mental health appointments increased during implementation. The C-SSRS was used in 98.06% of appointments. The tool assisted clinicians in the identification of 220 low-risk, 27 moderate-risk, and 6 high-risk patients. Discrepancies between patients’ C-SSRS risk levels and documented care plans using the clinic’s suicide risk decision tool were higher than expected. Conclusion: The project successfully integrated the C-SSRS into the clinic workflow, enhancing standardization and identification of at-risk patients. Continued improvement efforts are recommended for improved documentation efficiency and data collection methods.

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