Evidence map›Paper›PMID 36135359›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2023

Cost-effectiveness of guideline-based care provision for patients with diabetes-related foot ulcers: A modelled analysis using discrete event simulation.

Yuqi Zhang, Hannah E Carter, Peter A Lazzarini, Susanna Cramb, Rosana Pacella, Jaap J van Netten, Qinglu Cheng, Patrick H Derhy, Ewan M Kinnear, Steven M McPhail

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. Review
  9. The Why, What and Where Podcast on the Updated 2023 IWGDF Guideline on Offloading Treatments for Diabetes-Related Foot Ulcers.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuqi ZhangAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-3656-5383
Hannah E CarterAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-0046-4126
Peter A LazzariniAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-8235-7964
Susanna CrambAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-9041-9531
Rosana PacellaInstitute for Lifecourse Development, University of Greenwich, London, UK.ORCID 0000-0002-9742-1957
Jaap J van NettenAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-6420-6046
Qinglu ChengKirby Institute, University of New South Wales, Sydney, Australia.ORCID 0000-0002-3701-8760
Patrick H DerhyClinical Access and Redesign Unit, Queensland Health, Brisbane, Australia.
Ewan M KinnearAllied Health Research Collaborative, The Prince Charles Hospital, Brisbane, Australia.
Steven M McPhailAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-1463-662X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe provision of guideline-based care for patients with diabetes-related foot ulcers (DFU) in clinical practice is suboptimal. We estimated the cost-effectiveness of higher rates of guideline-based care, compared with current practice.

methodsThe costs and quality-adjusted life-years (QALYs) associated with current practice (30% of patients receiving guideline-based care) were compared with seven hypothetical scenarios with increasing proportion of guideline-based care (40%, 50%, 60%, 70%, 80%, 90% and 100%). Comparisons were made using discrete event simulations reflecting the natural history of DFU over a 3-year time horizon from the Australian healthcare perspective. Incremental cost-effectiveness ratios were calculated for each scenario and compared to a willingness-to-pay of AUD 28,000 per QALY. Probabilistic sensitivity analyses were conducted to incorporate joint parameter uncertainty.

resultsAll seven scenarios with higher rates of guideline-based care were likely cheaper and more effective than current practice. Increased proportions compared with current practice resulted in between AUD 0.28 and 1.84 million in cost savings and 11-56 additional QALYs per 1000 patients. Probabilistic sensitivity analyses indicated that the finding is robust to parameter uncertainty.

conclusionsHigher proportions of patients receiving guideline-based care are less costly and improve patient outcomes. Strategies to increase the proportion of patients receiving guideline-based care are warranted.

Indexed as

Diabetes MellitusDiabetic FootAustraliaComputer SimulationCost-Benefit AnalysisHumansQuality-Adjusted Life Yearscost-effectiveness analysisdiabetes-related foot ulcersdiscrete event simulationguideline-based care

Identifiers

PMID36135359
PMCPMC10946962

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.