Korean J Nosocomial Infect Control.  2016 Jun;21(1):1-8. 10.14192/kjnic.2016.21.1.1.

The Recent Trend and Perspective of Infection Control in the Republic of Korea

Affiliations
  • 1Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea. jhyoo@catholic.ac.kr

Abstract

The recent trends and future of infection control are anticipated to be as follows: Most hospitals will develop a nationwide network and cooperate with governmental and public institutions for infection control. The importance of environmental hygiene will be reappraised. Universal decolonization will be a mainstream intervention for the pre-emptive eradication of various nosocomial pathogens. Molecular technology could become a routine practice in many clinical fields. Advances in information technology (IT) will have a profound impact on infection control. For example, applications of big data and tracking technology using wearable devices are already underway. Infection control in the future will be a coordinated system involving governmental regulation, IT and molecular technology.

Keyword

Biotechnology; Decolonization; Infection control

MeSH Terms

Biotechnology
Hygiene
Infection Control*
Republic of Korea*

Cited by  1 articles

Impact of Environmental Contamination Level According to the Endotracheal Suction System in Surgical Intensive Care Unit: A Comparison of Open and Closed System
Ki Sook Kim
Korean J Healthc Assoc Infect Control Prev. 2017;22(2):56-62.    doi: 10.14192/kjhaicp.2017.22.2.56.


Reference

References

1. Kim TH. Institutional preparedness for infectious diseases and improving care. J Korean Med Assoc. 2015; 58:606–10.
Article
2. Lee J. Better understanding on MERS corona virus outbreak in Korea. J Korean Med Sci. 2015; 30:835–6.
Article
3. Weinstein RA. Nosocomial infection update. Emerg Infect Dis. 1998; 4:416–20.
Article
4. Brown J, Doloresco Iii F, Mylotte JM. “Never events”: not every hospital-acquired infection is preventable. Clin Infect Dis. 2009; 49:743–6.
Article
5. Carlet J, Fabry J, Amalberti R, Degos L. The “zero risk” concept for hospital-acquired infections: a risky business! Clin Infect Dis. 2009; 49:747–9.
Article
6. Edmond M, Eickhoff TC. Who is steering the ship? External influences on infection control programs. Clin Infect Dis. 2008; 46:1746–50.
Article
7. Centers for Medicare & Medicaid Services.Hospital-Acquired Conditions. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/HospitalAcqCond/Hospital-Acquired_Conditions.html. (Updated on 19 August. 2015.
8. Rhee C, Gohil S, Klompas M. Regulatory mandates for sepsis carereasons for caution. N Engl J Med. 2014; 370:1673–6.
9. Edmond MB, Bearman GM. Mandatory public reporting in the USA: an example to follow? J Hosp Infect. 2007; 65 Suppl 2:182–8.
Article
10. Weber SG, Huang SS, Oriola S, Huskins WC, Noskin GA, Harriman K, et al. Legislative mandates for use of active surveillance cultures to screen for methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci: position statement from the joint SHEA and APIC task force. Am J Infect Control. 2007; 35:73–85.
Article
11. Frieden TR. Shattuck lecture: the future of public health. N Engl J Med. 2015; 373:1748–54.
12. Slayton RB, Toth D, Lee BY, Tanner W, Bartsch SM, Khader K, et al. Vital signs: estimated effects of a coordinated approach for action to reduce antibiotic-resistant infections in health care facilities-United States. MMWR Morb Mortal Wkly Rep. 2015; 64:826–31.
13. Kim YA, Lee H, Lee K. Contamination of the hospital environmental by pathogenic bacteria and infection control. Korean J Nosocomial Infect Control. 2015; 20:1–6.
Article
14. Dancer SJ. Controlling hospital-acquired infection: focus on the role of the environment and new technologies for decontamination. Clin Microbiol Rev. 2014; 27:665–90.
Article
15. Humphreys H. New technologies in the prevention and control of healthcare-associated infection. J R Coll Physicians Edinb. 2010; 40:161–4.
Article
16. Huttunen R, Syrjänen J.Healthcare workers as vectors of infectious diseases. Eur J Clin Microbiol Infect Dis. 2014; 33:1477–88.
Article
17. Nicas M, Best D. A study quantifying the hand-to-face contact rate and its potential application to predicting respiratory tract infection. J Occup Environ Hyg. 2008; 5:347–52.
Article
18. Mitchell A, Spencer M, Edmiston C Jr. Role of healthcare apparel and other healthcare textiles in the transmission of pathogens: a review of the literature. J Hosp Infect. 2015; 90:285–92.
19. Hasan J, Crawford RJ, Ivanova EP. Antibacterial surfaces: the quest for a new generation of biomaterials. Trends Biotechnol. 2013; 31:295–304.
Article
20. Korea Institute of Healthcare Architecture.http://www.ikiha.org/html/main.jsp. (Updated on 19 October. 2015.
21. Tomic V, Svetina Sorli P, Trinkaus D, Sorli J, Widmer AF, Trampuz A. Comprehensive strategy to prevent nosocomial spread of methicillin-resistant Staphylococcus aureus in a highly endemic setting. Arch Intern Med. 2004; 164:2038–43.
Article
22. Yoo JH. Could the active surveillance culture and decolonization reduce infections by nosocomial methicillin-resistant staphylococcus aureus? Korean J Nosocomial Infect Control. 2009; 14:8–14.
23. Association for Professionals in Infection Control and Epidemiology. MRSA Laws.http://www.apic.org/Resource_/TinyMceFileManager/Advocacy-PDFs/Static_map_-_MRSA_revised_4-21-11.gif. (Updated on 21 April. 2011.
24. Wenzel RP, Edmond MB. Infection control: the case for horizontal rather than vertical interventional programs. Int J Infect Dis. 2010; 14 Suppl 4:S3–5.
Article
25. Huang SS, Septimus E, Kleinman K, Moody J, Hickok J, Avery TR; CDC Prevention Epicenters Program; AHRQ DECIDE Network and Healthcare-Associated Infections Program.. Targeted versus universal decolonization to prevent ICU infection. N Engl J Med. 2013; 368:2255–65.
Article
26. Ziakas PD, Zacharioudakis IM, Zervou FN, Mylonakis E. Methicillin-resistant Staphylococcus aureus prevention strategies in the ICU: a clinical decision analysis*. Crit Care Med. 2015; 43:382–93.
27. Deeny SR, Cooper BS, Cookson B, Hopkins S, Robotham JV. Targeted versus universal screening and decolonization to reduce healthcare-associated meticillin-resistant Staphylococcus aureus infection. J Hosp Infect. 2013; 85:33–44.
Article
28. Cheng VC, Tai JW, Chau PH, Chen JH, Yan MK, So SY, et al. Minimal intervention for controlling nosocomial transmission of methicillin-resistant staphylococcus aureus in resource limited setting with high endemicity. PLoS One. 2014; 9:e100493.
Article
29. Sabat AJ, Budimir A, Nashev D, Sá-Leão R, van Dijl JM, Laurent F; ESCMID Study Group of Epidemiological Markers (ESGEM).. Overview of molecular typing methods for outbreak detection and epidemiological surveillance. Euro Surveill. 2013; 18:20380.
Article
30. Azarian T, Cook RL, Johnson JA, Guzman N, McCarter YS, Gomez N. et al. Whole-genome sequencing for outbreak investigations of methicillin-resistant Staphylococcus aureus in the neonatal intensive care unit: time for routine practice? Infect Control Hosp Epidemiol. 2015; 36:777–85.
31. Loman NJ, Pallen MJ. Twenty years of bacterial genome sequencing. Nat Rev Microbiol. 2015; 13:787–94.
Article
32. Dark MJ. Whole-genome sequencing in bacteriology: state of the art. Infect Drug Resist. 2013; 6:115–23.
Article
33. Mooney SJ, Westreich DJ, El-Sayed AM. Commentary: Epidemiology in the era of big data. Epidemiology. 2015; 26:390–4.
34. Carneiro HA, Mylonakis E. Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis. 2009; 49:1557–64.
Article
35. Dugas AF, Hsieh YH, Levin SR, Pines JM, Mareiniss DP, Mohareb A, et al. Google flu trends: correlation with emergency department influenza rates and crowding metrics. Clin Infect Dis. 2012; 54:463–9.
Article
36. Araz OM, Bentley D, Muelleman RL. Using google flu trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska. Am J Emerg Med. 2014; 32:1016–23.
Article
37. Butler D. When google got flu wrong. Nature. 2013; 494:155–6.
Article
38. Ekeland AG, Bowes A, Flottorp S. Effectiveness of telemedicine: a systematic review of reviews. Int J Med Inform. 2010; 79:736–71.
Article
39. Gray J. Infection control: beyond the horizon. J Hosp Infect. 2015; 89:237–40.
Article
40. Yoo JH. The meaning of Information Technology (IT) mobile devices to me, the infectious disease physician. Infect Chemother. 2013; 45:244–51.
Article
41. ISI Foundation of Italy.Introduction to Socio Patterns. http://www.sociopatterns.org. (Updated on 19 November. 2015.
42. Voirin N, Payet C, Barrat A, Cattuto C, Khanafer N, Régis C. . Combining highresolution contact data with virological data to investigate influenza transmission in a tertiary care hospital. Infect Control Hosp Epidemiol. 2015; 36:254–60.
Article
43. Barrat A, Cattuto C, Tozzi AE, Vanhems P, Voirin N. Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases. Clin Microbiol Infect. 2014; 20:10–6.
Article
Full Text Links
  • KJNIC
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