Clinical and economic improvements in pressure injury care at Ballarat Health Services
Bibliographic record
Abstract
Objective: Ballarat Health Services (BHS) in partnership with Nursing Practice Solutions Inc. (NPS) and Smith and Nephew Pty Ltd embarked upon the implementation of a proactive Wound Care Improvement (WCI) program with the aim of achieving improved patient and economic outcomes. Setting: The program was implemented at BHS, a regional health service in Australia, in the acute, subacute and aged residential care settings. Design: The program utilised a methodology first introduced in Ontario, Canada, which focused on the delivery of best practice wound care across the organisation. Using an initial benchmark assessment of the organisation's outcomes, performance and educational needs, BHS implemented appropriate interventions aimed at creating and sustaining best practice wound care for all patients, decreasing pressure injury point prevalence and generating economic improvements. Findings: A 66% decrease in organisational pressure injury point prevalence and an improvement in the use of advanced dressing products used in the prevention and treatment of pressure injuries are documented accomplishments. There was an estimated saving of over 10,000 bed days and $4.4 million as a consequence of reducing the pressure injury point prevalence. BHS has also achieved one of the lowest international pressure injury prevalence rates. Resources including hospital staff, beds and wound care products were all used more efficiently as a result of the decrease in pressure injury point prevalence. Conclusion: Ballarat Health Services' implementation of the WCI program has shown that a consistent, evidence-based structured approach to pressure injury prevention and management can result in improved patient and economic outcomes.
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.
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 | 0.016 | 0.000 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".