Influence of caregiver understanding of their capability to perform activities of daily living, disease comprehension, and attitudes on occupational low back pain: a cross-sectional study.
Daiki YokoyamaShuntaro TamuraKazuki FujisakiKenichiro MitsuyamaTomohiko SatoKazura KobayashiTomohiro OtaniPublished in: Journal of physical therapy science (2024)
[Purpose] The aim in this study was to evaluate the impact of caregiver understanding of their ability to perform activities of daily living (ADLs), movement abilities, diseases, and attitudes on the prevalence of occupational low back pain. [Participants and Methods] A cross-sectional survey was conducted of caregivers of older adults living in residential care facilities. Of the 150 questionnaires distributed, 71 were valid. The survey collected data on demographics, low back pain status using a numerical rating scale, and familiarity with ten ADLs and five diseases (stroke, rheumatoid arthritis, fractures, Parkinson's disease, and dementia). [Results] In this study, 52% of the participants reported lower back pain. Significant factors included an understanding of repositioning in ADLs, familiarity with stroke and rheumatoid arthritis, and attitudes toward using patients' residual functions. Participants with limited knowledge of repositioning and stroke, a better understanding of rheumatoid arthritis, and those who did not consider residual function were more prone to lower back pain. [Conclusion] Our findings highlight the importance of enhancing caregiver education on ADL movements and disease specifics, particularly stroke and rheumatoid arthritis, and promoting the use of patients' residual capabilities. Improved training and information sharing among caregivers may reduce the risk of occupational low back pain.
Keyphrases
- rheumatoid arthritis
- atrial fibrillation
- end stage renal disease
- healthcare
- disease activity
- ejection fraction
- palliative care
- chronic kidney disease
- interstitial lung disease
- ankylosing spondylitis
- risk factors
- physical activity
- quality improvement
- peritoneal dialysis
- mild cognitive impairment
- machine learning
- social media
- health information
- artificial intelligence
- electronic health record