OBJECTIVES: This study aimed to translate and validate a Bahasa Malaysia version of SECEL (mSECEL) using a validated framework of transcultural adaptation.
METHODS: This cross-sectional study was conducted in the Otorhinolaryngology, Department of Universiti Kebangsaan Malaysia Medical Centre from February 2019 to May 2020. The mSECEL was produced following a rigorous forward and backward translation. Eighty-three laryngectomees (78 male, five female) using various methods of alaryngeal communication (47 voice prosthesis, 29 electrolarynx, three esophageal speech and four pen and paper), completed the mSECEL and mVHI-10 before head and neck and flexible laryngoscopic examinations. The mSECEL was repeated in 2 weeks via telephone interview or clinic visit. Its reliability was assessed using intraclass correlation. The Pearson product-moment correlation test was used to analyze correlation between the mSECEL and mVHI-10.
RESULTS: The mSECEL questionnaire showed strong internal consistency with the Cronbach alpha of >0.90 for total score, Environmental and Attitude subscale. The test-retest reliability for total mSECEL score was high with the intraclass correlation of 0.97. There was a highly significant positive correlation between the mSECEL total score and mVHI-10 (P < 0.001). Items in the General subscale showed poorer internal consistency with Cronbach alpha ranging 0.55-0.46 and poor correlation with mVHI-10.
CONCLUSIONS: The Bahasa Malaysia version of the SECEL measure is a valid and reliable instrument to evaluate communication perception after laryngectomy. Future studies should consider subscale validation and further abbreviation of its items to make this measure clinically relevant.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
Methods: This study employed a qualitative design. Semi-structured interviews (n = 20) were conducted with key opinion leaders from 14 countries. The participants were predominantly members of the International COVID-19 and Cancer Taskforce, who convened in March 2020 to address delivery of cancer care in the context of the pandemic. The Framework Method was employed to analyse the positive changes of the pandemic with corresponding challenges to their maintenance post-pandemic.
Results: Ten themes of positive changes were identified which included: value in cancer care, digital communication, convenience, inclusivity and cooperation, decentralisation of cancer care, acceleration of policy change, human interactions, hygiene practices, health awareness and promotion and systems improvement. Impediments to the scale-up of these positive changes included resource disparities and variation in legal frameworks across regions. Barriers were largely attributed to behaviours and attitudes of stakeholders.
Conclusion: The COVID-19 pandemic has led to important value-based innovations and changes for better cancer care across different health systems. The challenges to maintaining/implementing these changes vary by setting. Efforts are needed to implement improved elements of care that evolved during the pandemic.