Feasibility of a Culturally Specific DEmentia Competence Education for Nursing Home Taskforce (DECENT) Programme: A Mixed-Method Approach.
Yayi ZhaoYaping DingLi LiuHelen Yue-Lai ChanPublished in: International journal of environmental research and public health (2022)
Although educational resources have been developed to build staff's dementia care competence in Western culture, their applicability and cultural relevance to the Chinese population are questionable. To address this gap, the DEmentia Competence Education for Nursing home Taskforce (DECENT) programme was developed and tailored to Chinese staff. This study aimed to evaluate the feasibility and preliminary effects of the DECENT programme. A one-group pretest-posttest study, embedded with a qualitative component, was conducted among 12 healthcare professionals. The DECENT programme comprised eight topics covering essential competencies in dementia care. It was delivered face-to-face by a qualified educator once per week for 60-90 min over 8 weeks. Outcomes were measured at baseline and immediately post-intervention. A satisfaction survey and individual interviews were conducted post-intervention to understand participants' perceptions and experience with the intervention. Nine participants finished the post-intervention assessment. Except for staff's attitudes towards people with dementia, quantitative findings generally demonstrated positive changes following the intervention. Three categories were identified from the qualitative data: well-developed programme, perceived benefits, and barriers. The findings showed that the DECENT programme is feasible and is perceived by nursing home staff as relevant and useful to daily practice. A larger-scale study is needed to evaluate its effectiveness.
Keyphrases
- randomized controlled trial
- healthcare
- study protocol
- mild cognitive impairment
- quality improvement
- cognitive impairment
- primary care
- physical activity
- palliative care
- systematic review
- depressive symptoms
- social support
- clinical trial
- machine learning
- skeletal muscle
- chronic pain
- metabolic syndrome
- long term care
- high resolution
- weight loss
- deep learning
- big data
- preterm birth