Exploring the sensory screening experiences of nurses working in long-term care homes with residents who have dementia: a qualitative study
Bibliographic record
Abstract
BACKGROUND: The prevalence of vision and hearing loss is higher amongst older individuals with dementia, as well as higher in long-term care settings than in the wider community. However, the incidence of sensory impairment is underreported and often goes untreated. In this study, we aimed to understand nurses' current experiences of screening and caring for long-term care residents who have dementia and sensory impairment. METHODS: As part of a larger study on the sensory screening of long-term care residents with dementia, an environmental scan was conducted with front-line healthcare providers. We report here on the findings from the content analysis of individual, semi-structured interviews with nurses working in two long-term care homes in Southern Ontario, Canada. Twenty regulated nurses, including designated resident assessment coordinators, working full- or part-time with individuals who have dementia, participated across the two sites. All interviews were transcribed, and their contents reviewed and coded for themes by means of inductive thematic analysis. RESULTS: Following a systematic and recursive approach, three analysts identified several themes relating to: 1) the sensory screening process, 2) communication strategies, and 3) quality of life, sensory loss, and dementia. Participants reported on the strengths and limitations of screening procedures, what improvements should be made, which informal strategies are effective, and the continued professional development that is needed. CONCLUSIONS: Nurses demonstrated insight into the facilitators and barriers to effective screening and care of residents with dementia and sensory impairments, and expressed the need for further education, more suitable screening tools, and formalised accountability within the screening process for vision and hearing loss in these long-term care residents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".