Efficiency of different approaches in teaching tracheal suctioning procedure to caregivers of tracheostomy patients: randomized controlled study.

Support Care CancerOct 31, 2026 (epub)
Clinical ResearchOtolaryngology (ENT)Oncology (Medical)Open access

Yeliz Şapulu Alakan, Neriman Akansel, Olgun Deniz

✦ AI-curated · Sources linked

In 30 seconds

This randomized controlled study compared simulation-based and mobile application training with routine bedside instruction for primary caregivers of people with tracheostomies, including patients with head and neck cancer. Of 77 caregivers randomized, 66 completed the study and were analysed, with 22 in each group. Knowledge and skill assessment scores differed significantly between groups (p = 0.000): simulation achieved the highest scores, mobile training ranked second, and routine training scored lowest. Knowledge and skills improved more at the 30-day assessment than immediately after training.

Key findings

  • Among 66 caregivers analysed, assessment scores differed significantly between groups (p = 0.000).
  • Simulation training produced the highest knowledge and skill scores, followed by mobile application training and routine bedside instruction.
  • Knowledge and skill improvements were greater at the 30-day follow-up than immediately after training.

Why it matters

Caregivers’ ability to perform tracheal suctioning is relevant to supportive care after tracheostomy. The findings suggest that structured teaching methods can improve assessed knowledge and skills, with simulation performing best in this study. Mobile training also outperformed routine bedside instruction, indicating a possible way to extend caregiver education beyond in-person teaching.

What to keep in mind

Eleven of the 77 randomized participants withdrew, leaving 66 caregivers in the final analysis. Outcomes were assessed through the 30th day, so longer-term retention is not established.

Source

Published in Support Care Cancer. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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