Evidence map›Paper›PMID 41748261›Full record

ArticleInternational wound journal2026

Cost and Resource Utilisation for Management of Diabetes-Related Foot Disease in Australia: An Economic Evaluation.

Nicoletta Frescos, Michelle R Kaminski

Abstract read
In one paragraph

Article in International wound journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nicoletta FrescosAllied Health Research, Northern Centre for Health, Education and Research, Northern Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-6355-4110
Michelle R KaminskiDiscipline of Podiatry, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia.

Funding

URGO Medical Australia
6 · The paper itself

Abstract

The financial burden of diabetes-related foot disease (DFD) in Australia remains inadequately understood. This study aimed to explore the direct costs and resource utilisation associated with DFD management, incorporating insights from healthcare professionals actively involved in the treatment of individuals with DFD. A three-step approach informed the economic evaluation. First, a systematic review identified existing Australian cost data. Second, semi-structured interviews with healthcare professionals generated estimates of resource utilisation and addressed data source gaps. Third, a Markov model evaluated the costs of DFD management at both the individual and health system levels. The model included direct costs related to hospital admissions, outpatient/community visits, medications, diagnostics, wound care, offloading devices and amputation-related expenses. The average annual cost per patient for DFD management was AUD $44 691. The primary cost drivers were hospital admissions ($21 566), outpatient/community visits ($14 212) and wound debridement ($5918). The total cost to the Australian healthcare system in 2026 is estimated at AUD $3.08 billion, with projections reaching AUD $3.81 billion by 2030. This study provides essential cost estimates for DFD management at both the individual and health system levels, offering critical insights for policymakers seeking to optimise service delivery and improve patient outcomes in Australia.

Indexed as

Cost of IllnessDiabetic FootHealth Care CostsHealth ResourcesAgedAustraliaFemaleHumansMaleMiddle Agedamputationcosts and cost analysisdiabetic footfoot ulcerhealth expenditures

Identifiers

PMID41748261
PMCPMC12945556

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.