Quality of dying among elderly people diagnosed with dementia in nursing homes: A mixed methods study.
Daniel Puente-FernándezPaula Olivencia PeñaCarmen Soto-FelipeRafael Montoya-JuárezConcepción RoldánMaría Paz García-CaroPublished in: Journal of psychiatric and mental health nursing (2022)
Introduction The complex nature of end-of-life assessment of individuals diagnosed with dementia would benefit from a mixed-methods approach that simultaneously assess the perception and response of nurses to standardized tools. Aim/Question To examine nursing professionals' perceptions of the quality of dying among residents diagnosed with dementia using the Quality of Dying in Long-Term Care settings (QoD-LTC) questionnaire and to identify consistencies and inconsistencies in their narratives. Method Mixed-methods study using concurrent triangulation with data integration for results and interpretation. Nurses from eight nursing homes assessed 117 residents diagnosed with dementia who died in the previous 3 months using the QoD-LTC scale. After informed consent was obtained (nurses/caregivers), 17 semi-structured scale-based interviews were conducted. Results Symptom management, quality of care, and end-of-life appearance were found to be adequate, while end-of-life communication was deemed insufficient. The qualitative and quantitative data were consistent for most of the items on the QoD-LTC. Discussion Concepts such as dignity, holistic care, good relationships, and peaceful death are complex and not fully incorporated into professional practice. Implications for Practice The results highlight the need for greater involvement of mental health nurses as well as improved communication, training, and specific tools tailored to residents diagnosed with dementia.
Keyphrases
- healthcare
- mental health
- palliative care
- mild cognitive impairment
- quality improvement
- cognitive impairment
- primary care
- advanced cancer
- electronic health record
- mental illness
- study protocol
- randomized controlled trial
- squamous cell carcinoma
- systematic review
- big data
- machine learning
- artificial intelligence
- smoking cessation
- virtual reality
- psychometric properties