ABSTRACT
INTRODUCTION@#Behavioural and psychological symptoms of dementia (BPSD) are considered integral parts of dementia. While pharmacotherapy is reserved for severe symptoms of BPSD, the associated adverse effects can be detrimental. Therefore, non-pharmacological intervention is recommended as the first line of treatment in the management of BPSD. This study aimed to explore the non-pharmacological approaches for the management of BPSD and the strategies and barriers to implementing them in secondary care facilities in Malaysia.@*METHODS@#A qualitative study design was employed. Data were collected through observations and semi-structured interviews of 12 caregivers and 11 people with dementia (PWD) at seven secondary care facilities. Observations were written in the field notes, and interviews were audio-recorded and transcribed. All data were subjected to thematic analysis.@*RESULTS@#Some personalised non-pharmacological interventions, such as physical exercise, music therapy, reminiscence therapy and pet therapy, were conducted in several nursing care centres. Collaborative care from the care providers and family members was found to be an important facilitating factor. The lack of family support led to care providers carrying additional workload beyond their job scope. Other barriers to non-pharmacological interventions were cultural and language differences between the care providers and PWD, inadequate staff numbers and training, and time constraints.@*CONCLUSION@#Although non-pharmacological approaches have been used to some extent in Malaysia, continuous education and training of healthcare providers and the family members of PWD is needed to overcome the challenges to their successful implementation.
Subject(s)
Humans , Dementia/diagnosis , Psychotherapy , Qualitative Research , Health Personnel , CaregiversABSTRACT
Objectives@#Fatigue is the most frequently reported symptom experienced by cancer patients and has a profound effect on their quality of life (QOL). The study aimed to determine the impact of fatigue on QOL among breast cancer patients receiving chemotherapy and to identify the risk factors associated with severe fatigue incidence. @*Methods@#This was an observational prospective study carried out at multiple centers. In total, 172 breast cancer patients were included. The Functional Assessment of Chronic Illness Therapy-Fatigue Questionnaire was used to measure QOL, while the Brief Fatigue Inventory (BFI) was used to assess the severity of fatigue. @*Results@#The total average mean and standard deviation of QOL were 84.58±18.07 and 4.65±1.14 for BFI scores, respectively. A significant association between fatigue and QOL was found in linear and multiple regression analyses. The relationships between fatigue severity and cancer stage, chemotherapy dose delay, dose reduction, chemotherapy regimen, and ethnicity were determined using binary logistic regression analysis. @*Conclusion@#The findings of this study are believed to be useful for helping oncologists effectively evaluate, monitor, and treat fatigue related to QOL changes.
ABSTRACT
Objectives@#Fatigue is the most frequently reported symptom experienced by cancer patients and has a profound effect on their quality of life (QOL). The study aimed to determine the impact of fatigue on QOL among breast cancer patients receiving chemotherapy and to identify the risk factors associated with severe fatigue incidence. @*Methods@#This was an observational prospective study carried out at multiple centers. In total, 172 breast cancer patients were included. The Functional Assessment of Chronic Illness Therapy-Fatigue Questionnaire was used to measure QOL, while the Brief Fatigue Inventory (BFI) was used to assess the severity of fatigue. @*Results@#The total average mean and standard deviation of QOL were 84.58±18.07 and 4.65±1.14 for BFI scores, respectively. A significant association between fatigue and QOL was found in linear and multiple regression analyses. The relationships between fatigue severity and cancer stage, chemotherapy dose delay, dose reduction, chemotherapy regimen, and ethnicity were determined using binary logistic regression analysis. @*Conclusion@#The findings of this study are believed to be useful for helping oncologists effectively evaluate, monitor, and treat fatigue related to QOL changes.