To swab or not to swab? A qualitative study of pathology testing, interpretation, and value in diabetes-related foot ulceration
Open accessAbstract
BACKGROUND: Diagnostic testing has been proposed as a key strategy to tackle escalating antimicrobial resistance (AMR). However, effectiveness of testing is limited by the complexities of the hospital environment, including human factors. OBJECTIVES: To examine swab-testing in diabetes-related foot infections as a case study of the factors impacting microbiology testing use, efficacy, and antimicrobial resistance. METHODS: Seventeen clinicians involved in the management of diabetes-related foot infections, including podiatrists, nurses, and doctors, participated in in-depth individual interviews conducted by a qualitative researcher on the investigation and management of diabetes-related foot infections. Thematic analysis was performed. RESULTS: The multilayered and evolving features of the human-diagnostic interface were described by participants as potential barriers to effective swab-testing in clinical care, including diagnostic training and interpretation deficits; communication difficulties; interpretation deficits and diagnostic assumptions; the influence of inter-professional dynamics; and flow-on consequences for patient decisions and care. CONCLUSIONS: Swab-testing has been used for over 100 years, and yet there remain substantial factors that limit their effective use in clinical practice as demonstrated by this study. A focus on upscaling diagnostic testing, particularly with escalating AMR, without considering complex implementation and human factors is likely to have limited impact on practice improvement. This study identified vulnerability points in the human-diagnostic interaction which should be considered in the implementation of other microbiological tests. This study on the simple wound swab has implications for future diagnostic upscaling and investment, including its role in address antimicrobial resistance.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Inappropriate swabbing of wounds could lead to positive culture results that do not necessarily represent a clinical infection.
“In addition, inappropriate swabbing of wounds could lead to positive culture results that do not necessarily represent a clinical infection.27”
From Rationalizing irrational prescribing—infection-related attitudes and practices across paediatric surgery specialties in a hospital in South India (2024) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Tong, A., Sainsbury, P., & Craig, J. (2007) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzm042 · Cited by 42,509 · see citing works
Gale, N. K., Heath, G., Cameron, E., Rashid, S., & Redwood, S. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-117 · Cited by 10,865 · see citing works
Qualitative research in health care: Analysing qualitative data
Pope, C. (2000) · BMJ · doi:10.1136/bmj.320.7227.114 · Cited by 8,131 · see citing works
Armstrong, D. G., Tan, T.-W., Boulton, A. J. M., & Bus, S. A. (2023) · JAMA · doi:10.1001/jama.2023.10578 · Cited by 1,658 · see citing works
Interventions to improve antibiotic prescribing practices for hospital inpatients
Davey, P., Marwick, C. A., Scott, C. L., Charani, E., McNeil, K., Brown, E., Gould, I. M., Ramsay, C. R., & Michie, S. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003543.pub4 · Cited by 1,068 · see citing works
Sequencing-based methods and resources to study antimicrobial resistance
Boolchandani, M., D’Souza, A. W., & Dantas, G. A. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0108-4 · Cited by 530 · see citing works
Senneville, É., Melliez, H., Beltrand, E., Legout, L., Valette, M., Cazaubie, M., Cordonnier, M.-O., Caillaux, M., Yazdanpanah, Y., & Mouton, Y. (2005) · Clinical Infectious Diseases · doi:10.1086/498112 · Cited by 317 · see citing works
Cultures of resistance? A Bourdieusian analysis of doctors' antibiotic prescribing
Broom, A. F., Broom, J. K., & Kirby, E. R. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.03.030 · Cited by 215 · see citing works
Diagnostics for Wound Infections
Li, S., Renick, P. J., Senkowsky, J., Nair, A., & Tang, L. (2020) · Advances in Wound Care · doi:10.1089/wound.2019.1103 · Cited by 211 · see citing works
IWII Wound Infection in Clinical Practice consensus document: 2022 update
Swanson, T., Ousey, K. J., Haesler, E., Bjarnsholt, T., Carville, K., Idensohn, P., Kalan, L., Keast, D. H., Larsen, D., Percival, S. L., et al. (2022) · Journal of Wound Care · doi:10.12968/jowc.2022.31.sup12.s10 · Cited by 176 · see citing works
Rethinking How Antibiotics Are Prescribed
Tamma, P. D., Miller, M. A., & Cosgrove, S. E. (2018) · JAMA · doi:10.1001/jama.2018.19509 · Cited by 131 · see citing works
Zhang, Y., van Netten, J. J., Baba, M., Cheng, Q., Pacella, R., McPhail, S., Cramb, S. M., & Lazzarini, P. A. (2021) · Journal of Foot and Ankle Research · doi:10.1186/s13047-021-00447-x · Cited by 68 · see citing works
The Revolution of Lateral Flow Assay in the Field of AMR Detection
Boutal, H., Moguet, C., Pommiès, L., Simon, S., Naas, T., & Volland, H. (2022) · Diagnostics · doi:10.3390/diagnostics12071744 · Cited by 47 · see citing works
Asiimwe, B. B., Kiiru, J., Mshana, S. E., Neema, S., Keenan, K. L., Kesby, M., Mwanga, J. R., Sloan, D. J., Mmbaga, B. T., Smith, V. A., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-041418 · Cited by 43 · see citing works
Broom, J. K., Broom, A. F., & Kirby, E. R. (2019) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkz233 · Cited by 38 · see citing works
Kekre, M., Arévalo, S. A., Valencia, M. F., Lagrada, M. L., Macaranas, P. K. V., Nagaraj, G., Oaikhena, A. O., Olorosa, A. M., Aanensen, D. M., Abudahab, K., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab796 · Cited by 35 · see citing works
Gramberg, M. C. T. T., Mahadew, S. K. N., Lissenberg-Witte, B. I., Bleijenberg, M. P., de la Court, J. R., van Hattem, J. M., Sabelis, L. W. E., Lagrand, R. S., de Groot, V., den Heijer, M., et al. (2022) · Infection · doi:10.1007/s15010-022-01884-x · Cited by 13 · see citing works
Cumming, C. G., & Ross, P. W. (1979) · Journal of Clinical Pathology · doi:10.1136/jcp.32.10.1066 · Cited by 10 · see citing works
Meagher, K. M., Watson, S., Suh, G. A., & Virk, A. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12081308 · Cited by 9 · see citing works
The burden of diabetes‐related foot disease among older adults in Australia
Ahmed, M. U., Tannous, K., Agho, K., Henshaw, F. R., Turner, D. E., & Simmons, D. S. (2022) · International Wound Journal · doi:10.1111/iwj.13781 · Cited by 7 · see citing works
The PEST (Pathology, Epidemiology, Severity, Treatment) approach to optimizing antimicrobial therapy
Davar, K., & Vijayan, T. (2023) · BMC Medical Education · doi:10.1186/s12909-023-04286-1 · Cited by 1 · see citing works
Flagged first, then by citations
1 of the 22 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Surendran, S., Nampoothiri, V., Dhar, P., Holmes, A., Singh, S., & Charani, E. (2024) · JAC-Antimicrobial Resistance · doi:10.1093/jacamr/dlae105 · Cited by 3 · see citing works
Rodrigues, I. C., Prata, J. C., Pista, Â., & da Costa, P. M. (2026) · Veterinary Sciences · doi:10.3390/vetsci13020126 · Cited by 1 · see citing works
Heck, R. S., Lins, R. S., Speransa, D. M. R., López, P., & Michelin, L. (2026) · International Journal of Endocrinology · doi:10.1155/ije/6364693
- Authors
- Broom, J., Williams Veazey, L., Broom, A., Kee, L., & Choong, K.
- Affiliations
- The University of Queensland (AU)
- The University of Sydney (AU)
- Sunshine Coast University Hospital (AU)
- Corresponding author
- Broom, Jennifer
- Broom, Alex
- Kee, Lijie
- Choong, Keat
- Venue
- Infection, Disease & Health
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 29
- Issue
- 1
- Pages
- 39-50
- ISSN
- 2468-0451 (ISSN-L)
- OpenAlex
- W4389042604
- Cited by
- 3
- References
- 22
- Citations by year
- 2026: 2 · 2024: 1
- FWCI
- 0.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Infection Disease & Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Griffith Research Online (submittedVersion, cc-by)
- Funders
- Australian Research Council (IH190100021)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetic Foot Ulcer Assessment and Management
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Keywords
- diabetic foot ulcer, swab testing, microbiology testing, antimicrobial resistance, diagnostic interpretation, interprofessional communication, podiatry, wound swabs, clinician perspectives
- MeSH terms
- Anti-Infective Agents, Communicable Diseases, Diabetes Mellitus, Humans, Physicians, Specimen Handling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review