A life-cycle cost analysis for flooring materials for healthcare facilities
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
Objective: In this study, hard, resilient and soft flooring materials are compared using a building service life of 50 years, an established life span for healthcare facilities. The purpose of this study is to evaluate the life-cycle cost of flooring products and inform decision-makers about the long-term cost of ownership along with other key factors, such as safety, durability, and aesthetics.Methods: The protocol for executing an life-cycle cost analysis (LCCA) is defined by the National Institute of Standards and Technology (NIST), including defining the problem, identifying feasible alternatives, and establishing common assumptions and parameters, as well as acquiring financial information. Product information for the flooring materials that met inclusion criteria based on characteristics of the products consistent with use in healthcare facilities was acquired including maintenance, installation, warranty, and cost data. LCCA calculations recognize the time value of money and use discounting to project future value.Results: The results generated from the LCCA using present value to project future costs provide a useful tool for projecting costs over time for the purpose of planning operational and maintenance costs associated with the long-term investment of ownership. The findings suggest that soft flooring is more cost effective for initial purchase and installation, equipment assets, and maintenance over time of facilities.Conclusions: Cost is an important factor when considering flooring materials for healthcare facilities. Other factors to be considered are safety, durability and aesthetics, cleanliness, acoustics and sustainability to realize the overall return on investment. This study developed a tool for projecting costs of ownership for facility materials, in this case, flooring. The selection of flooring material has a significant impact on the cost of ownership over the life of the facility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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