Jessica A. Schults RN, PhD , Sally M. Havers RN, PhD , Belinda C. Henderson RN, MN , Sally Healy RN , Naomi Runnegar MBBS, FRACP, FPCPA , Trish Hurst RN , Karina Charles RN, MICU , Alison Smith RN, MHR , Julia E. Clark MBBS, FRACP , Robyn Birch RN, MN , Joanne Campbell RN, NP , Janine Carrucan RN, MAdvP(InfPrCon) , John Gamlin RN , Janice Geary RN, Grad Dip (InfCon) , Christopher S. Heather MBChB , Deborough A. MacBeth RN, PhD , Kylie Maxwell RN, GCert , Paul Simpson RN, MSc(InfCon) , Sarah Smith , Josephine Lovegrove RN, PhD , Claire M. Rickard RN, PhD
{"title":"Expert consensus and recommendations for health care-associated infection surveillance in Queensland, Australia: A modified Delphi study","authors":"Jessica A. Schults RN, PhD , Sally M. Havers RN, PhD , Belinda C. Henderson RN, MN , Sally Healy RN , Naomi Runnegar MBBS, FRACP, FPCPA , Trish Hurst RN , Karina Charles RN, MICU , Alison Smith RN, MHR , Julia E. Clark MBBS, FRACP , Robyn Birch RN, MN , Joanne Campbell RN, NP , Janine Carrucan RN, MAdvP(InfPrCon) , John Gamlin RN , Janice Geary RN, Grad Dip (InfCon) , Christopher S. Heather MBChB , Deborough A. MacBeth RN, PhD , Kylie Maxwell RN, GCert , Paul Simpson RN, MSc(InfCon) , Sarah Smith , Josephine Lovegrove RN, PhD , Claire M. Rickard RN, PhD","doi":"10.1016/j.ajic.2025.02.012","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 8","pages":"Pages 849-854"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of infection control","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S019665532500094X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/4 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
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Abstract
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.
期刊介绍：
AJIC covers key topics and issues in infection control and epidemiology. Infection control professionals, including physicians, nurses, and epidemiologists, rely on AJIC for peer-reviewed articles covering clinical topics as well as original research. As the official publication of the Association for Professionals in Infection Control and Epidemiology (APIC)
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