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Updated: Jun 25, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

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Suicide Risk Screening for Head and Neck Cancer Patients: An Implementation Study.

Bhargav Kansara¹, Ameer Basta¹, Marian Mikhael¹

¹Department of Oncological Sciences, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States.

Applied Clinical Informatics

|May 22, 2024

Summary

This summary is machine-generated.

Oncology staff had varied views on electronic suicide risk screening for head and neck cancer patients. Improvements in training, staffing, and tools are needed for successful implementation.

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Area of Science:

Oncology
Mental Health
Health Services Research

Background:

Head and neck cancer (HNC) patients face elevated suicide risk.
Limited research exists on suicide risk screening (SRS) for this population.
Electronic SRS implementation in routine HNC care requires evaluation.

Purpose of the Study:

To assess oncology professionals' perspectives on the feasibility, acceptability, and appropriateness of an electronic SRS program for HNC patients.
To identify barriers and facilitators for implementing SRS in routine oncology care.
To gather recommendations for optimizing SRS in HNC patient care.

Main Methods:

A mixed-methods study involving a single-site implementation of an electronic SRS program.
Surveys and interviews were conducted with oncology staff (N=29 survey, N=25 interview).
Quantitative measures of feasibility, acceptability, and appropriateness were used, supplemented by qualitative data.

Main Results:

Nurses and medical assistants reported lower feasibility, acceptability, and appropriateness of SRS compared to other staff.
Staff identified needs for additional personnel, enhanced training, and accessible screening modalities.
Revisions to patient-reported outcomes were suggested to improve suicide risk prediction.

Conclusions:

Staff perspectives on implementing SRS in HNC care varied significantly.
Optimizing workflow and reducing staff burden are crucial for large-scale SRS implementation.
Strategies like improved training, diverse completion methods, and refined risk assessment tools are necessary.