Korean J healthc assoc Infect Control Prev.  2022 Dec;27(2):104-117. 10.14192/kjicp.2022.27.2.104.

Applicability of New Indicators for Healthcare-associated Infections Surveillance in Korea

Affiliations
  • 1Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
  • 2Division of Infectious Diseases, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
  • 3Department of Pediatrics, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea
  • 4Infection Control Team, Chung-Ang University Hospital, Seoul, Korea
  • 5Department of Infection Control, Ewha Womans University Mokdong Hospital, Seoul, Korea
  • 6Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
  • 7Division of Infectious Diseases, Kyung Hee University College of Medicine, Seoul, Korea

Abstract

The Korean National Healthcare-associated Infections Surveillance System (KONIS) started surveilling healthcare-associated infections (HAIs) in intensive care units in 2006. Since then, the KONIS modules have expanded, and the participating hospitals have diversified. To allow for these changes, surveillance indicators need to be improved to represent national data and provide useful benchmarks. Herein, we reviewed the national HAI surveillance systems in 11 countries and the European Union, which were searched online during October–December 2019, and compared the target healthcare facilities, indicators, and surveillance methods. Twelve experts independently evaluated the priorities in terms of disease burden, relevance, intervenability, urgency, applicability, acceptability, barriers and facilitators of implementation on a scale of 0-10 in each category, and the highest score had the highest priority. This review identified five areas of improvement. First, new surveillance nfl indicators that require web-based automated systems can be introduced. These would include laboratory-based surveillance, such as Clostridioides difficile infection and multi-drug resistant organisms, and surveillance of antimicrobial resistance and use. Second, surveillance areas can be expanded to general or specialized wards, according to the needs of the participating hospitals. Third, healthcare facilities, such as outpatient dialysis clinics or outpatient surgical centers, can be included in the KONIS. Fourth, standardized infection ratios (SIRs) and standardized utilization ratios (SURs) can be introduced as effective benchmarks. Finally, the point prevalence survey can play a supplementary role in identifying new HAIs and help allocate efforts to their prevention. Among these points, the use of SIR and SUR was considered a top priority indicator for the KONIS. As the KONIS continues to evolve, it is necessary to introduce new indicators and benchmark methods to address these changes. It is of utmost importance that the KONIS be operated stably and steadily, and new enrollees in the KONIS need to understand and adapt to the KONIS before introducing new indicators. In addition, it should be evaluated which indicators and benchmarks can be well-incorporated and appropriately used in the KONIS and the government should make efforts to establish an automated surveillance system using electronic medical information.

Keyword

Public health surveillance; Health facilities; Cross infection; Quality indicator; Health care

Figure

  • Fig. 1 The priority scores in introducing new surveillance indicators and benchmarks in the Korean National Healthcare-associated Infections Surveillance System (KONIS). Abbreviations: SUR, standardized utilization ratio; CL, central line; SIR, standardized infection ratio; CLABSI, central line associated bloodstream infection; ACH, acute care hospital; AU, antimicrobial use; PPS, point prevalence survey; CDI, Clostridium difficile infection; AR, antimicrobial resistance; SSI, surgical site infection; LTCF, long-term care facility; HH, hand hygiene; MDRO, multidrug resistant organisms; VEN, ventilator; UC, urinary catheter; GW, general ward; CLIP, central line insertion practice; VAP, ventilator associated pneumonia; CAUTI, catheter-associated urinary tract infection; PedVAP, pediatric VAP; VAE, ventilator-associated events; MBI-LCBI, mucosal barrier injury-laboratory confirmed bloodstream infection.


Cited by  1 articles

Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2020 through June 2021
Eun Jin Kim, Yee Gyung Kwak, Sun Hee Kwak, Su Hui Ko, Oh Mee Kweon, Eu Suk Kim, Jin Hwa Kim, Tae Hyong Kim, Taek Soo Kim, Hee-Won Moon, Sun Hee Park, Jin Young Ahn, So-Yeon Yoo, Hyeon Mi Yoo, Sang-Oh Lee, Yu-Mi Lee, Nan-Hyoung Cho, Young Hwa Choi, Pyoeng Gyun Choe, Ki Ho Hong, Mi Suk Lee
Korean J Healthc Assoc Infect Control Prev. 2023;28(1):64-77.    doi: 10.14192/kjicp.2023.28.1.64.


Reference

1. Park SH. 2018; Management of multi-drug resistant organisms in healthcare settings. J Korean Med Assoc. 61:26–35. DOI: 10.5124/jkma.2018.61.1.26.
Article
2. World Health Organization. 2011. Report on the burden of endemic health care-associated infection worldwide. World Health Organization;Geneva: DOI: 10.5124/jkma.2018.61.1.26.
3. Nguyen DB, Shugart A, Lines C, Shah AB, Edwards J, Pollock D, et al. 2017; National Healthcare Safety Network (NHSN) dialysis event surveillance report for 2014. Clin J Am Soc Nephrol. 12:1139–46. DOI: 10.2215/CJN.11411116. PMID: 28663227. PMCID: PMC5498356.
Article
4. Gastmeier P, Schwab F, Sohr D, Behnke M, Geffers C. 2009; Reproducibility of the surveillance effect to decrease nosocomial infection rates. Infect Control Hosp Epidemiol. 30:993–9. DOI: 10.1086/605720. PMID: 19719414.
Article
5. Lee MS. 2021. Operation of the nationwide surveillance system for healthcare associated infection. Korea Disease Control and Prevention Agency;Cheongju: DOI: 10.1086/605720.
6. ECDC. Healthcare-associated Infections Surveillance Network (HAI-Net). https://ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/hai-net. Updated on 15 September 2022.
7. Japan Nosocomial Infections Surveillance (JANIS). https://janis.mhlw.go.jp/english/about/index.html. Updated on 16 September 2022.
8. Taiwan Centers for Disease Control. Taiwan Nosocomial Infections Surveillance System (TNIS). https://www.cdc.gov.tw/Category/Page/J63NmsvevBg2u3I2qYBenw. Updated on 15 September 2022.
9. Victorian Nosocomial Infection Surveillance System (VICNISS). https://www.vicniss.org.au/about/what-is-vicniss/. Updated on 15 September 2022.
10. Folkehelseinstituttet [Norwegian Institute of Public Health]. Norsk overvåkingssystem for antibiotikabruk og helsetjenesteassosierte infeksjoner (NOIS). https://www.fhi.no/hn/helseregistre-og-registre/nois/. Updated on 15 September 2022.
11. Rijksinstituut voor Volksgezondheid en Milieu [National Institute for Public Health. PREventie van ZIEkenhuisinfecties door Surveillance (PREZIES). https://www.rivm.nl/prezies/over-prezies. Updated on 7 December 2021.
12. Réseau de Prévention des Infections associées aux Soins (RePias). https://www.preventioninfection.fr/. Updated on 15 September 2022.
13. Centers for Disease Control. National Healthcare Safety Network (NHSN). https://www.cdc.gov/nhsn/. Updated on 15 September 2022.
14. UK Health Security Agency. Mandatory healthcare associated infection surveillance: data quality statement. https://www.gov.uk/government/publications/mandatory-healthcare-associated-infection-hcai-surveillance-data-quality-statement. Updated on 9 June 2022.
15. Canadian Patient Safety Institute. The Canadian Nosocomial Infection Surveillance Program (CNISP). https://www.patientsafetyinstitute.ca/en/toolsResources/InfectionSurveillanceProgram/Pages/default.aspx. Updated on 15 September 2022.
16. Nationale Referenzzentrum für Surveillance von nosokomialen Infektionen [National Reference Center for Surveillance of Nosocomial Infections]. Krankenhaus-Infektions-Surveillance-System (KISS). https://www.nrz-hygiene.de/das-nrz. Updated on 15 September 2022.
17. NHSN. 2019. NHSN patient safety component manual. CDC;Atlanta: DOI: 10.1086/605720.
18. KISS. Krankenhaus-Infektions-Surveillance-System (Germany). https://www.nrz-hygiene.de/kiss. Updated on 19 December 2019.
19. NHSN. 2022. National Healthcare Safety Network (NHSN) patient safety component manual. NHSN;Atlanta: DOI: 10.1086/605720.
20. Tsutsui A, Suzuki S. 2018; Japan nosocomial infections surveillance (JANIS): a model of sustainable national antimicrobial resistance surveillance based on hospital diagnostic microbiology laboratories. BMC Health Serv Res. 18:799. DOI: 10.1186/s12913-018-3604-x. PMID: 30342499. PMCID: PMC6195991.
Article
21. Choi HY, Park SY, Kim YA, Yoon TY, Choi JM, Choe BK, et al. 2015; The epidemiology and economic burden of Clostridium difficile infection in Korea. Biomed Res Int. 2015:510386. DOI: 10.1155/2015/510386. PMID: 25821807. PMCID: PMC4363506.
22. Kim J, Kang JO, Kim H, Seo MR, Choi TY, Pai H, et al. 2013; Epidemiology of Clostridium difficile infections in a tertiary-care hospital in Korea. Clin Microbiol Infect. 19:521–7. DOI: 10.1111/j.1469-0691.2012.03910.x. PMID: 22712697.
Article
23. Albert K, Ross B, Calfee DP, Simon MS. 2018; Overreporting healthcare-associated C. difficile: a comparison of NHSN LabID with clinical surveillance definitions in the era of molecular testing. Am J Infect Control. 46:998–1002. DOI: 10.1016/j.ajic.2018.03.001. PMID: 29655671.
Article
24. Durkin MJ, Baker AW, Dicks KV, Lewis SS, Chen LF, Anderson DJ, et al. 2015; A comparison between National Healthcare Safety Network laboratory-identified event reporting versus traditional surveillance for Clostridium difficile infection. Infect Control Hosp Epidemiol. 36:125–31. DOI: 10.1017/ice.2014.42. PMID: 25632994. PMCID: PMC4405780.
25. Chung HS, Park JS, Shin BM, Yoo HM, Kim H, Cho J, et al. 2022; Nationwide survey for current status of laboratory diagnosis of Clostridioides difficile infection in Korea. J Korean Med Sci. 37:e38. DOI: 10.3346/jkms.2022.37.e38. PMID: 35132844. PMCID: PMC8822111.
Article
26. Korea Disease Control. 2021. Guidelines for prevention & control of healthcare-associated infections, 2021. Korea Disease Control and Prevention Agency;Cheongju: DOI: 10.1016/j.ajic.2018.03.001.
27. Korea Disease Control. 2021. National antimicrobial resistance surveillance in Korea, 2020. Korea Disease Control and Prevention Agency;Cheongju: DOI: 10.1016/j.ajic.2018.03.001.
28. Muraki Y, Yagi T, Tsuji Y, Nishimura N, Tanabe M, Niwa T, et al. 2016; Japanese antimicrobial consumption surveillance: first report on oral and parenteral antimicrobial consumption in Japan (2009-2013). J Glob Antimicrob Resist. 7:19–23. DOI: 10.1016/j.jgar.2016.07.002. PMID: 27973324.
Article
29. Schweickert B, Feig M, Schneider M, Willrich N, Behnke M, Peña Diaz LA, et al. 2018; Antibiotic consumption in Germany: first data of a newly implemented web-based tool for local and national surveillance. J Antimicrob Chemother. 73:3505–15. DOI: 10.1093/jac/dky345. PMID: 30239728.
Article
30. Kim HB. 2019. Prevalence of antimicrobial use in hospital and assessment of the appropriateness of antibiotic prescribing in Korea. Korea Centers for Disease Control and Prevention;Cheongju: DOI: 10.1093/jac/dky345.
31. Kim B, Ahn SV, Kim DS, Chae J, Jeong SJ, Uh Y, et al. 2022; Development of the Korean Standardized Antimicrobial Administration Ratio as a tool for benchmarking antimicrobial use in each hospital. J Korean Med Sci. 37:e191. DOI: 10.3346/jkms.2022.37.e191. PMID: 35726144. PMCID: PMC9247727.
Article
32. Kim BY, Chae JM, Kim DS, Woo HK, Kim CH, Kim HB, et al. 2022; Differences in monthly antimicrobial usage by data source: comparative analysis of hospital electronic database and national health insurance claims database. Infect Chemother. 54(Suppl 1):S244–5.
33. Lee HM. 2019. Nov. 13. Proposal of antimicrobial use surveillance system in Korea, Paper presented at 2nd Antimicrobial Resistance Forum. Seoul, Korea:
34. Lee MS. 2014. A pilot study of focused new surveillance definition, ventilator associated event for ventilator applied patients in Korea. Korea Centers for Disease Control and Prevention;Cheongju:
35. Cho SY, Chung DR, Ryu JG, Choi JR, Ahn N, Kim S, et al. 2017; Impact of targeted interventions on trends in central line-associated bloodstream infection: a single-center experience from the Republic of Korea. Crit Care Med. 45:e552–8. DOI: 10.1097/CCM.0000000000002306. PMID: 28333762.
36. Seo HK, Hwang JH, Shin MJ, Kim SY, Song KH, Kim ES, et al. 2018; Two-year hospital-wide surveillance of central line-associated bloodstream infections in a Korean hospital. J Korean Med Sci. 33:e280. DOI: 10.3346/jkms.2018.33.e280. PMID: 30402047. PMCID: PMC6209765.
Article
37. ESRD Registry Committee. 2019. Current renal replacement therapy in Korea: Insan Memorial Dialysis Registry, 2018. Korean Society of Nephrology;Seoul:
38. NHSN. 2022. The NHSN standardized infection ratio (SIR): a guide to the SIR (updated April 2022). CDC;Atlanta:
39. Saman DM, Kavanagh KT. 2013; Assessing the necessity of the standardized infection ratio for reporting central line-associated bloodstream infections. PLoS One. 8:e79554. DOI: 10.1371/journal.pone.0079554. PMID: 24223966. PMCID: PMC3817126.
Article
40. Fukuda H, Morikane K, Kuroki M, Taniguchi S, Shinzato T, Sakamoto F, et al. 2013; Toward the rational use of standardized infection ratios to benchmark surgical site infections. Am J Infect Control. 41:810–4. DOI: 10.1016/j.ajic.2012.10.004. PMID: 23375577.
Article
41. Fuller RL, Hughes JS, Atkinson G, Aubry BS. 2020; Problematic risk adjustment in National Healthcare Safety Network measures. Am J Med Qual. 35:205–12. DOI: 10.1177/1062860619859073. PMID: 31248266. PMCID: PMC7281913.
Article
42. NHSN. 2022. The NHSN standardized utilization ratio (SUR): a guide to the SUR (updated April 2022). CDC;Atlanta: DOI: 10.1016/j.ajic.2012.10.004.
43. Kim EJ, Kwak YG, Kwak SH, Ko SH, Kweon OM, Kim ES, et al. 2021; Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2019 through June 2020. Korean J healthc assoc Infect Control Prev. 26:115–28. DOI: 10.14192/kjicp.2021.26.2.115.
Article
44. European Centre for Disease Prevention. Healthcare-associated infections and antimicrobial use in long-term care facilities: HAI-Net HALT database. https://www.ecdc.europa.eu/en/all-topics-z/healthcare-associated-infections-long-term-care-facilities/surveillance-and-disease. Updated on 4 May 2020.
45. European Centre for Disease Prevention. Surveillance and disease data for healthcare-associated infections in acute care hospitals. https://www.ecdc.europa.eu/en/healthcare-associated-infections-acute-care-hospitals/surveillance-disease-data. Updated on 4 May 2020.
46. Magill SS, O'Leary E, Janelle SJ, Thompson DL, Dumyati G, Nadle J, et al. 2018; Changes in prevalence of health care-associated infections in U.S. hospitals. N Engl J Med. 379:1732–44. DOI: 10.1056/NEJMoa1801550. PMID: 30380384. PMCID: PMC7978499.
Article
47. Kärki T, Plachouras D, Cassini A, Suetens C. 2019; Burden of healthcare-associated infections in European acute care hospitals. Wien Med Wochenschr. 169(Suppl 1):3–5. DOI: 10.1007/s10354-018-0679-2. PMID: 30680486.
Article
48. Mitchell R, Taylor G, Rudnick W, Alexandre S, Bush K, Forrester L, et al. 2019; Trends in health care-associated infections in acute care hospitals in Canada: an analysis of repeated point-prevalence surveys. CMAJ. 191:E981–8. DOI: 10.1503/cmaj.190361. PMID: 31501180. PMCID: PMC6733684.
Article
49. Morioka H, Nagao M, Yoshihara S, Ohge H, Kasahara K, Shigemoto N, et al. 2018; The first multi-centre point-prevalence survey in four Japanese university hospitals. J Hosp Infect. 99:325–31. DOI: 10.1016/j.jhin.2018.03.005. PMID: 29549049.
Article
50. Thu TA, Hung NV, Quang NN, Archibald LK, et al. Thuy le TT. 2011; A point-prevalence study on healthcare-associated infections in Vietnam: public health implications. Infect Control Hosp Epidemiol. 32:1039–41. DOI: 10.1086/661915. PMID: 21931257.
Article
51. Saleem Z, Godman B, Hassali MA, Hashmi FK, Azhar F, Rehman IU. 2019; Point prevalence surveys of health-care-associated infections: a systematic review. Pathog Glob Health. 113:191–205. DOI: 10.1080/20477724.2019.1632070. PMID: 31215326. PMCID: PMC6758614.
Article
52. Delgado-Rodríguez M, Llorca J. 2004; Bias. J Epidemiol Community Health. 58:635–41. DOI: 10.1136/jech.2003.008466. PMID: 15252064. PMCID: PMC1732856.
Article
53. Kim MN. 2019. Manual development and pilot survey for national surveillance of total healthcare-associated infections. Korea Centers for Disease Control and Prevention;Cheongju: DOI: 10.1086/661915.
54. Verberk JDM, Aghdassi SJS, Abbas M, Nauclér P, Gubbels S, Maldonado N, et al. 2022; Automated surveillance systems for healthcare-associated infections: results from a European survey and experiences from real-life utilization. J Hosp Infect. 122:35–43. DOI: 10.1016/j.jhin.2021.12.021. PMID: 35031393.
Article
55. van Mourik MSM, van Rooden SM, Abbas M, Aspevall O, Astagneau P, Bonten MJM, et al. 2021; PRAISE: providing a roadmap for automated infection surveillance in Europe. Clin Microbiol Infect. 27 Suppl 1:S3–19. DOI: 10.1016/j.cmi.2021.02.028. PMID: 34217466.
Article
Full Text Links
  • KJHAICP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr