Expert consensus and recommendations for health care-associated infection surveillance in Queensland, Australia: A modified Delphi study - 11/07/25
, Sally M. Havers, RN, PhD a, b, d, e, Belinda C. Henderson, RN, MN f, Sally Healy, RN f, Naomi Runnegar, MBBS, FRACP, FPCPA d, g, h, Trish Hurst, RN f, Karina Charles, RN, MICU a, b, c, Alison Smith, RN, MHR a, Julia E. Clark, MBBS, FRACP i, Robyn Birch, RN, MN j, Joanne Campbell, RN, NP k, Janine Carrucan, RN, MAdvP(InfPrCon) l, John Gamlin, RN m, Janice Geary, RN, Grad Dip (InfCon) n, Christopher S. Heather, MBChB o, Deborough A. MacBeth, RN, PhD p, Kylie Maxwell, RN, GCert i, Paul Simpson, RN, MSc(InfCon) q, Sarah Smith b, Josephine Lovegrove, RN, PhD a, b, r, Daner Ball, RN, MN a, b, Lisa Hall, PhD a, s, Claire M. Rickard, RN, PhD a, b, rRésumé |
Background |
Health care-associated infections (HAIs) continue to contribute significantly to Australia’s burden of disease. In Queensland, varied surveillance protocols exist contributing to unnecessary complexity. With end-user partners, we defined a minimum dataset to support the public reporting of HAI surveillance data.
Methods |
A modified, 2-round Delphi study was conducted with field experts. In Round 1, infection control professionals and infectious disease physicians rated HAI measures on importance, feasibility, usefulness, and case definition acceptability using Likert scales. Measures meeting predefined thresholds progressed to Round 2, where a panel of experts achieved ≥70% consensus on the final dataset.
Results |
Forty-nine infection control professionals (nurses and physicians) responded in Round 1. From the originally proposed 36 HAI measures, 17 achieved consensus for importance, usefulness and feasibility. In Round 2, 14 experts (11 infection control practitioners; 3 physicians) met to review the 17 measures retained from Round 1. Final measures (n=13), meeting Round 2 consensus, included bloodstream infections, selected surgical site infections, and significant organisms.
Conclusions |
We developed a 13-item minimum dataset with standardized definitions to support consistent, state-wide HAI surveillance and reporting. The dataset supports efficient data aggregation and will inform targeted prevention activities.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Standardized 13-item HAI dataset for QLD via expert consensus for surveillance. |
• | Identified key infection measures to streamline and unify statewide HAI reporting. |
• | Enhanced data consistency for efficient aggregation and targeted prevention strategies. |
• | Created a scalable HAI surveillance model to improve patient outcomes and global efforts. |
Key Words : Infection control, Health care-associated infections, Health care quality, Delphi technique, Infection prevention, Patient safety
Plan
| Funding/support: JS received funding from a Queensland Health Clinical Research Fellowship to undertake this project. |
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| Conflicts of interest: None to report. |
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| Ethics approval: This study was conducted in compliance with all stipulations of the study protocol, the conditions of ethics committee approval, the NHMRC National Statement on Ethical Conduct in Human Research and the Note for Guidance on Good Clinical Practice (CPMP/ICH-135/95). |
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| Availability of data and materials: Requests for data access can be directed to the corresponding author. |
Vol 53 - N° 8
P. 849-854 - août 2025 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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