Effects of a modified Singh's algorithm care bundle on cannulation success rate in patients with neurological sequelae

Aim: Prolonged tracheostomy tube placement leads to depression, communicative inconvenience, reduced life quality, and health complications. We retrospectively examined the effects of a modified Singh's algorithm (MOSA) care bundle in tracheostomy tube removal in patients with neurological sequelae. Methods: We retrieved medical records of 22 tracheostomized patients admitted to our early rehabilitation ward from 1 January 2018 to 31 December 2020 and compared their clinical outcomes before and after the MOSA introduction. We used a decannulation checklist and outcomes of decannulation training to judge the decannulation opportunity in the intervention group. In the control group, the patients received decannulation based on professional judgments. Results: Age, gender, body mass index, and admission diagnosis were not significantly different between the two groups. While 10 of 13 patients (76.9%) successfully decannulated in the intervention group, only 1 of 9 patients in the control group succeeded (11.1%; p = 0.008). The decannulation evaluation checklist revealed no statistically significant difference between the two groups except that the intervention group received more airway patency evaluations (p = 0.027). None of the decannulated patients required tracheostomy tube reinsertion before discharge, and no complications appeared. Conclusion: Our study supports the feasibility of MOSA in aiding decannulation among patients with neurological illnesses. Further cluster randomized controlled trials and studies of decision aids and shared decision-making are warranted to help promote active decannulation.