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Record W4410867263 · doi:10.11124/jbies-23-00488

Economic evaluations of interventions for the prevention and treatment of pressure ulcers: an umbrella review

2025· review· en· W4410867263 on OpenAlexaboutno aff
Miloslav Klugar, Jitka Klugarová, Salman Hussain, Tereza Vrbová, Simona Slezáková, Petra Búřilová, Simona Saibertová, Dana Dolanová, Lenka Krupová, Jan Mužı́k, Jiří Jarkovský, Andrea Pokorná

Bibliographic record

VenueJBI Evidence Synthesis · 2025
Typereview
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSystematic reviewCritical appraisalPsychological interventionMEDLINEIntensive care medicineHealth careEconomic evaluationCost effectivenessAlternative medicineNursingRisk analysis (engineering)Pathology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this review was to summarize the systematic review findings of economic evaluations to prevent or treat pressure ulcers. INTRODUCTION: Pressure ulcers/injuries are one of the most common preventive complications characterized by local tissue injury. Pressure ulcers increase the mortality rate, impair quality of life, prolong the length of hospital stay, increase the cost of treatments, and alter general health outcomes. Published studies found higher costs in pressure ulcer treatment when compared to their prevention. Treatment costs vary depending on the pressure ulcer category (the higher the category, the higher the costs). This umbrella review systematically reviewed the evidence on pressure ulcer prevention or treatment from an economic perspective. INCLUSION CRITERIA: Eligible systematic reviews investigating both the cost and outcomes associated with the prevention or treatment of pressure ulcers were included. Systematic reviews dealing with economic evaluation of wound care or management were excluded if they did not provide separate analyses for pressure ulcers. All health economic outcomes were considered as primary outcomes of the review. METHODS: We searched Epistemonikos, MEDLINE (Ovid), NHS Economic Evaluation Database, and the Canadian Agency for Drugs and Technologies in Health (CADTH) website for relevant health economic systematic reviews from database inception, without any language restrictions. Titles and abstracts as well as full texts were screening independently by 2 reviewers. We assessed the methodological quality independently using the standard JBI Critical Appraisal Tool for Systematic Reviews and Research Syntheses. RESULTS: We identified 14 systematic reviews, 7 with a priori published protocols. Nine were of high methodological quality and 5 were of moderate methodological quality. None of the systematic reviews focused primarily on the pressure ulcers' cost-effectiveness; however, all the included systematic reviews assessed cost-effectiveness, either prevention, treatment, or both, with different preventive approaches and interventions. The most cost-effective prevention strategies reported multifaceted interventions, including repositioning regimens, pressure redistribution mattresses or overlays, and oral nutritional supplements. The most cost-effective treatment strategies reported for pressure ulcers were foam and collagenase dressing over saline-soaked gauze and enteral nutrition. CONCLUSIONS: This umbrella review identified nutrition support, foam and collagenase dressing, and pressure redistribution mattresses or overlays to be most cost-effective in preventing or treating pressure ulcers in a few of the included systematic reviews, while other systematic reviews lacked sufficient data on economic outcomes to make a determination. We recommend future studies focus on well-designed, full economic evaluations addressing the question of cost-effectiveness in prevention and management of pressure ulcers, especially in terms of repositioning. REVIEW REGISTRATION: OSF https://osf.io/9y2a7/. SUPPLEMENTAL DIGITAL CONTENT: Translations of the review abstract are available in Czech ( http://links.lww.com/SRX/A108 ), French ( http://links.lww.com/SRX/A109 ), and Spanish ( http://links.lww.com/SRX/A110 ).

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.199
GPT teacher head0.543
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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