Noise & health · 2026
The Impact of an Optimised Environmental Noise Management Protocol on Sleep Quality and Fatigue in Patients with Colorectal Cancer.
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Wu BiQin, Huang XiaoRong
Аннотация
OBJECTIVE: This study aimed to examine the effects of an optimised environmental noise management protocol on sleep quality and fatigue levels in patients with colorectal cancer.
METHODS: A retrospective analysis was conducted. Patients admitted before the implementation of the optimised protocol (January 2023 to December 2023, receiving conventional noise management) were assigned to the conventional care group ( n = 63). Those admitted after implementation (January 2024 to December 2024, receiving optimised environmental noise management) were assigned to the optimised management group ( n = 64). A comparison was made between the two groups regarding noise decibel levels (daytime and nighttime), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), fatigue (Cancer Fatigue Scale [CFS]) and comfort status (General Comfort Questionnaire [GCQ]).
RESULTS: The optimised management group demonstrated significantly lower noise decibel levels during daytime and nighttime compared with the conventional care group ( P < 0.05). Significantly reduced scores were observed in all PSQI domains and the global PSQI score in the optimised management group ( P < 0.05). Similarly, scores across all domains of the CFS and its total score significantly decreased in this group ( P < 0.05). Conversely, scores for all domains of the GCQ and its total score were significantly elevated in the optimised management group ( P < 0.05). Pearson correlation analysis revealed a significant positive correlation between noise decibel levels and PSQI ( r > 0, P < 0.05) and CFS scores ( r > 0, P < 0.05). A significant negative correlation was observed between noise decibel levels and GCQ scores ( r < 0, P < 0.05).
CONCLUSION: Implementing an optimised environmental noise management protocol can effectively reduce noise levels in patient care units, thereby improving sleep quality, reducing fatigue, and enhancing overall patient comfort during hospitalisation.
METHODS: A retrospective analysis was conducted. Patients admitted before the implementation of the optimised protocol (January 2023 to December 2023, receiving conventional noise management) were assigned to the conventional care group ( n = 63). Those admitted after implementation (January 2024 to December 2024, receiving optimised environmental noise management) were assigned to the optimised management group ( n = 64). A comparison was made between the two groups regarding noise decibel levels (daytime and nighttime), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), fatigue (Cancer Fatigue Scale [CFS]) and comfort status (General Comfort Questionnaire [GCQ]).
RESULTS: The optimised management group demonstrated significantly lower noise decibel levels during daytime and nighttime compared with the conventional care group ( P < 0.05). Significantly reduced scores were observed in all PSQI domains and the global PSQI score in the optimised management group ( P < 0.05). Similarly, scores across all domains of the CFS and its total score significantly decreased in this group ( P < 0.05). Conversely, scores for all domains of the GCQ and its total score were significantly elevated in the optimised management group ( P < 0.05). Pearson correlation analysis revealed a significant positive correlation between noise decibel levels and PSQI ( r > 0, P < 0.05) and CFS scores ( r > 0, P < 0.05). A significant negative correlation was observed between noise decibel levels and GCQ scores ( r < 0, P < 0.05).
CONCLUSION: Implementing an optimised environmental noise management protocol can effectively reduce noise levels in patient care units, thereby improving sleep quality, reducing fatigue, and enhancing overall patient comfort during hospitalisation.