Benefits of a digital health technology for older nursing home residents. A de-novo cost-effectiveness model for digital health technologies to aid in the assessment of toileting and containment care needs
Bibliographic record
Abstract
The aim of this study was first, to introduce a comprehensive, de-novo health economic (HE) model incorporating the full range of activities involved in toileting and containment care (T&CC) for people with incontinence, capturing all the potential benefits and costs of existing and future Digital Health Technologies (DHT) aimed at improving continence care, for both residential care and home care. Second, to use this novel model to evaluate the cost-effectiveness of the DHT TENA SmartCare Identifi in the implementation of person-centred continence care (PCCC), compared with conventional continence care for Canadian nursing home residents. The de-novo HE model was designed to evaluate technologies across different care settings from the perspective of several stakeholders. Health states were based on six care need profiles with increasing need for toileting assistance, three care stages with varying degrees of toileting success, and five levels of skin health. The main outcomes were incremental costs and quality-adjusted life years. The effectiveness of the TENA SmartCare Identifi was based primarily on trial data combined with literature and expert opinion where necessary. Costs were reported in CAD 2020. After 2 years, 21% of residents in the DHT group received mainly toileting as their continence care strategy compared with 12% in the conventional care group. Conversely, with the DHT 15% of residents rely mainly on absorbent products for incontinence care, compared with 40% with conventional care. On average, residents lived for 2.34 years, during which the DHT resulted in a small gain in quality-adjusted life years of 0.015 and overall cost-savings of $1,467 per resident compared with conventional care. Most cost-savings were achieved through reduced costs for absorbent products. Since most, if not all, stakeholders gain from use of the DHT-assisted PCCC, widespread use in Canadian residential care facilities should be considered, and similar assessments for other countries encouraged.
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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 | 0.001 | 0.000 |
| 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".