Key Takeaways
- 2.5 million pressure injuries are reported annually across U.S. hospitals
- 1 in 3 hospitalized patients in the U.S. experiences a pressure injury
- 11% overall prevalence of pressure injuries across point prevalence studies in hospitals
- $9.1 billion annual hospital cost for preventable pressure injuries in the U.S.
- $11.7 billion U.S. annual cost burden from pressure injuries (updated estimate used in industry research)
- Each pressure injury episode increases inpatient costs by an estimated $2,450 (U.S. claims-based analysis)
- In 2021, the International Pressure Injury Guideline (UPPI) movement reported 7 levels of recommendations for pressure injury prevention and management
- A 2021 systematic review reported that moisture and skin management interventions decreased pressure injury incidence by 43%
- A 2020 randomized trial reported a 34% reduction in sacral pressure injuries with structured repositioning compared with usual care
- The National Pressure Ulcer Advisory Panel (NPIAP) has published the pressure injury staging framework used in clinical and reporting contexts since 2016 updates
- The Joint Commission includes pressure injury prevention in its National Patient Safety Goals (NPSG) standards
- NICE Quality Standard QS86 focuses on pressure ulcer prevention in adults in hospitals, care homes, and community settings
- The Braden Scale has 6 subscales (sensory perception, moisture, activity, mobility, nutrition, friction/shear)
- A 2020 review found that integrated pressure-mapping systems can identify high-risk pressure areas in real time with improved localization accuracy
- A 2019 study reported that ultrasound could detect pressure-related tissue injury changes before visible skin breakdown in a controlled setting
Millions of U.S. patients develop preventable pressure injuries each year, costing billions, but bundles and skin care can cut incidence.
Healthcare Burden
Healthcare Burden Interpretation
Cost & Economics
Cost & Economics Interpretation
Prevention & Outcomes
Prevention & Outcomes Interpretation
Policy & Reporting
Policy & Reporting Interpretation
Technology & Measurement
Technology & Measurement Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lars Eriksen. (2026, February 13). Pressure Injury Statistics. Gitnux. https://gitnux.org/pressure-injury-statistics
Lars Eriksen. "Pressure Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/pressure-injury-statistics.
Lars Eriksen. 2026. "Pressure Injury Statistics." Gitnux. https://gitnux.org/pressure-injury-statistics.
References
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