A nursing home staff tool for the indoor visual environment: The content validity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the Netherlands, over 40% of nursing home residents are estimated to have visual impairments. This results in the loss of basic visual abilities. The nursing home environment fits more or less to residents’ activities and social participation. This is referred to as environmental fit. To raise professional awareness of environmental fit, an Environmental Observation tool for the Visually Impaired was developed. This tool targets aspects of the nursing home environment such as ‘light’, the use of ‘colours and contrasts’ and ‘furnishing and obstacles’. Objective of this study is to validate the content of the observation tool to have a tool applicable for practice. Based on the content validity approach, we invited a total of eight experts, six eye care professionals and two building engineering researchers, to judge the relevance of the items. The Item Content Validity approach was applied to determine items to retain and reject. The content validity approach led to a decrease in the number of items from 63 to 52. The definitive tool of 52 items contains 21 for Corridors , 17 for the Common Room , and 14 for the Bathroom . All items of the definite tool received an Item-Content Validity Index of ≥ 0.88 and a Scale-Content Validity Index of ≥ 0.71. The content validity index of the scale and per item has been applied, resulting in a tool that can be applied in nursing homes. The tool might be a starting point of a discussion among professional caregivers on environmental interventions for visually impaired older adults in nursing homes.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it