Reducing the risk of healthcare-associated infections through Lean Six Sigma: The case of the medicine areas at the Federico II University Hospital in Naples (Italy)
Open accessAbstract
Rationale, aims, and objectives: Lean Six Sigma (LSS) has been recognized as an effective management tool for improving healthcare performance. Here, LSS was adopted to reduce the risk of healthcare‐associated infections (HAIs), a critical quality parameter in the healthcare sector. Methods: Lean Six Sigma was applied to the areas of clinical medicine (including general medicine, pulmonology, oncology, nephrology, cardiology, neurology, gastroenterology, rheumatology, and diabetology), and data regarding HAIs were collected for 28,000 patients hospitalized between January 2011 and December 2016. Following the LSS define, measure, analyse, improve, and control cycle, the factors influencing the risk of HAI were identified by using typical LSS tools (statistical analyses, brainstorming sessions, and cause‐effect diagrams). Finally, corrective measures to prevent HAIs were implemented and monitored for 1 year after implementation. Results: Lean Six Sigma proved to be a useful tool for identifying variables affecting the risk of HAIs and implementing corrective actions to improve the performance of the care process. A reduction in the number of patients colonized by sentinel bacteria was achieved after the improvement phase. Conclusions: The implementation of an LSS approach could significantly decrease the percentage of patients with HAIs.
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?
Organizational and cultural changes result in direct impacts on clinical aspect of patients, such as infections rate reduction and shorter treatment time.
“Organizational and cultural changes result in direct impacts on clinical aspect of patients. For this matter, we can highlight, for instance, effects such as “infections rate reduction” and “shorter treatment time” [31,55,63].”
From Lean Healthcare Tools for Processes Evaluation: An Integrative Review. (2021) · cites this paper as [63]
The Results report that, after process improvements, the percentage of patients colonized by sentinel bacteria and their duration of hospitalization decreased. The Methods identify colonization as a measure of infection risk, not the infection rate itself; the paper reports shorter hospital stays, not shorter treatment time. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
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
Perspectives on brain-targeting drug delivery systems.
Guo, L., Ren, J., & Jiang, X. (2012) · Current Pharmaceutical Biotechnology · doi:10.2174/138920112803341770 · Cited by 57 · cited 2× · see citing works
“That is, they are expected to have both technical and managerial competences.(46,47) We recently applied LSS to reducing the number of patients affected by sentinel bacterial in surgery departments,(48) which resulted in a significant reduction in both the number of hospitalization days and the number of patients with…”
Background
Flagged first, then by citations
Research works printed but not linked: 44
- [2]Humphreys H, Smyth E. Prevalence surveys of healthcare‐associated infections: what do they tell us, if anything? Clin Microbiol Infec. 2006; 12(1): 2‐ 4. 16460539
- [4]Danasekaran R, Mani G, Annadurai K. Prevention of healthcare‐associated infections: protecting patients, saving lives. Int J Community Med Public Heath. 2014; 1(1): 67‐ 68.
- [6]National Nosocomial Infections Surveillance System. National Nosocomial Infections Surveillance (NNIS) system report, data summary from January 1992 through June 2004, issued October 2004. Am J Infect Control. 2004; 32(8): 470 15573054
- [7]Menachemi N, Yeager VA, Welty E, Manzella B. Are physician productivity and quality of care related? J Healthc Qual. 2013; 37(2): 93‐ 101. 24033482
- [8]Day MS, Hutzler LH, Karia R, Vangsness K, Setia N, Bosco JA. Hospital‐acquired conditions after orthopedic surgery do not affect patient satisfaction scores. J Healthc Qual. 2014; 36(6): 33‐ 40. 24033917
- [9]Travis J, Carr JB, Saylor D, et al. Coronary artery bypass graft surgery: surgical site infection prevention. J Healthc Qual. 2009; 31(4): 16‐ 23. 19753804
- [10]Dull D, Baird SK, Dulac J, Fox L. Improving prophylactic perioperative antibiotic utilization in a hospital system. J Healthc Qual. 2008; 30(6): 48‐ 56. 19160875
- [11]Wilson B, Miller K, Wong R, Emmons R, Kupferschmidt G, Foran K. Using Six Sigma methodology to improve hand hygiene compliance. Am J Infect Control. 2005; 33(5): e154‐ e155.
- [12]Ellingson K, Haas JP, Aiello AE, et al. Strategies to prevent healthcare‐associated infections through hand hygiene. Infect Cont Hosp Ep. 2014; 35(08): 937‐ 960. 25026608
- [13]Hidron AI, Edwards JR, Patel J, et al. Antimicrobial‐resistant pathogens associated with healthcare‐associated infections: annual summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006‐2007. Infect Cont Hosp Ep. 2008; 29(11): 996‐ 1011. 18947320
- [14]Pratt R, Pellowe C, Wilson J, et al. epic2: National evidence‐based guidelines for preventing healthcare‐associated infections in NHS hospitals in England. J Hosp Infect. 2007; 65((Suppl 1)): S1‐ S59. 17307562 PMC7134414
- [15]Haslam J, Cowan J, Creedon SA. Infection control: behavioural issues for healthcare workers. Clin Govern Int J. 2006; 11(4): 316‐ 325.
- [16]Lanini S, Jarvis WR, Nicastri E, et al. Healthcare‐associated infection in Italy annual point‐prevalence surveys, 2002‐2004. Infect Cont Hosp Ep. 2009; 30(07): 659‐ 665. 19496645
- [17]Zarb P, Coignard B, Griskeviciene J, et al. The European Centre for Disease Prevention and Control (ECDC) pilot point prevalence survey of healthcare‐associated infections and antimicrobial use. Euro Surveill. 2012; 17(46): 20,316 23171822
- [18]Swensen SJ, Kaplan GS, Meyer GS, et al. Controlling healthcare costs by removing waste: what American doctors can do now. BMJ Qual Saf. 2011; 20(6): 534‐ 537. 21339313
- [19]Montella E, Reis W, Palladino R, et al. Prevalence survey of healthcare‐associated infections in the University Hospital Federico II of Naples. Italy Ann Ig. 2012; 25(1): 73‐ 81. 23435782
- [20]MacArthur S, Browne FA. Quality improvement in healthcare epidemiology In: Lautenbach E, Woeltje K, Nalani P, Society for the Healthcare Epidemiology of America, eds. Practical Healthcare Epidemiology. Chicago, IL: University of Chicago Press; 2010: 42‐ 54.
- [22]Fischer C, Anema HA, Klazinga NS. The validity of indicators for assessing quality of care: a review of the European literature on hospital readmission rate. Eur J Public Health. 2011; 22(4): 484‐ 491. 22140251
- [23]Copnell B, Hagger V, Wilson S, Evans S, Sprivulis P, Cameron P. Measuring the quality of hospital care: an inventory of indicators. Int Med J. 2009; 39(6): 352‐ 360. 19323697
- [24]Mainz J. Defining and classifying clinical indicators for quality improvement. Int J Qual Health C. 2003; 15(6): 523‐ 530. 14660535
- [25]DelliFraine JL, Langabeer JR, Nembhard IM. Assessing the evidence of Six Sigma and Lean in the health care industry. Quality Manag Health Care. 2010; 19(3): 211‐ 225. 20588140
- [26]De Koning H, Verver JP, van den Heuvel J, Bisgaard S, Does RJMM. Lean Six Sigma in healthcare. J Healthc Qual. 2006; 28(2): 4 16749293
- [27]Pepper MP, Spedding TA. The evolution of Lean Six Sigma. Int J Qual Reliab Manag. 2010; 27(2): 138‐ 155.
- [28]Andersson R, Eriksson H, Torstensson H. Similarities and differences between TQM, Six Sigma and lean. TQM Mag. 2006; 18(3): 282‐ 296.
- [29]Arnheiter ED, Maleyeff J. The integration of lean management and Six Sigma. TQM Mag. 2005; 17(1): 5‐ 18.
- [30]Mason S, Nicolay C, Darzi A. The use of Lean and Six Sigma methodologies in surgery: a systematic review. Surgeon. 2015; 13(2): 91‐ 100. 25189692
- [31]Bender JS, Nicolescu TO, Hollingsworth SB, Murer K, Wallace KR, Ertl WJ. Improving operating room efficiency via an interprofessional approach. Am J Surg. 2015; 209(3): 447‐ 450. 25770394
- [32]Gijo E, Antony J. Reducing patient waiting time in outpatient department using Lean Six Sigma methodology. Qual Reliab Eng Int. 2014; 30(8): 1481‐ 1491.
- [33]Hudson SM, Hiott DB, Cole J, Davis R, Egan BM, Laken MA. Increasing capacity for quality improvement in underresourced primary care settings. Quality Manag Health Care. 2014; 23(3): 155‐ 162. 24978164
- [34]Toledo AH, Carroll T, Arnold E, et al. Reducing liver transplant length of stay: a Lean Six Sigma approach. Prog Transplant. 2013; 23(4): 350‐ 364. 24311399
- [35]Bhat S, Gijo E, Jnanesh N. Productivity and performance improvement in the medical records department of a hospital: an application of Lean Six Sigma. Int J Prod Perf Manag. 2016; 65(1): 98‐ 125.
- [36]Improta G, Balato G, Romano M, et al. Lean Six Sigma: a new approach to the management of patients undergoing prosthetic hip replacement surgery. J Eval Clin Pract. 2015; 21(4): 662‐ 672. 25958776
- [37]Bucci RV, Musitano A. A Lean Six Sigma journey in radiology. Radiol Manage. 2011; 33(3): 27‐ 33. quiz 34‐35 21793459
- [38]Chiarini A. Building a Six Sigma model for the Italian public healthcare sector using grounded theory. IJSOM. 2013; 14(4): 491‐ 508.
- [39]Bhat S, Gijo EV, Jnanesh NA. Application of Lean Six Sigma methodology in the registration process of a hospital. Int J Prod Perf Manag. 2014; 63(5): 613‐ 643.
- [40]Improta G, Giangrande P, Montella E, et al. An appropriate methodology for hospital management: Six Sigma at A.O.U. “Federico II” of Naples. Presented at 15th International Conference on Industrial Engineering and Management Science (ICIEMS). Prague; 2013.
- [41]Damato C, Rickard D. Using Lean‐Six Sigma to reduce hemolysis in the emergency care center in a collaborative quality improvement project with the hospital laboratory. Jt Comm J Qual Patient Saf. 2015; 41(3): 99‐ 99. 25977125
- [42]Dyas SR, Greenfield E, Thotakura S, et al. Process‐improvement cost model for the emergency department/PRACTITIONER. J Healthc Manag. 2015; 60(6): 442 26720989
- [43]Habidin NF, Yahya NZ, Ramli MFS. Using LSS DMAIC in improving emergency department waiting time. Int J Pharm Sci Rev Res. 2015; 35(2): 151‐ 155.
- [44]Gayed B, Black S, Daggy J, Munshi IA. Redesigning a joint replacement program using Lean Six Sigma in a Veterans Affairs hospital. JAMA Surg. 2013; 148(11): 1050‐ 1056. 24026166
- [45]Dickson AD. Utilizing a Lean Six Sigma approach to reduce total joint arthroplasty surgical site infections in a community hospital. Am J Infect Control. 2013; 41(6): S131‐ S132.
- [46]Hanykova L, Labuta J, Spevacek J. NMR study of temperature‐induced phase separation and polymer‐solvent interactions in poly(vinyl methyl ether)/D2O/ethanol solutions. Polymer. 2006; 47(17): 6107‐ 6116.
- [48]Montella E, Di Cicco MV, Ferraro A, et al. The application of Lean Six Sigma methodology to reduce the risk of healthcare‐associated infections in surgery departments. J Eval Clin Pract. 2016; 23(3): 530‐ 539. 27860065
- [49]Ishikawa K. Cause and effect diagram. Presented at Proceedings of International Conference on Quality. Tokyo; 1963.
Cited by
Sorted by citations
Lean Healthcare Tools for Processes Evaluation: An Integrative Review.
de Barros, L. B., Bassi, L. D. C., Caldas, L. P., Sarantopoulos, A., Zeferino, E. B. B., Minatogawa, V., & Gasparino, R. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147389 · Cited by 90 · see citing works
“For this matter, we can highlight, for instance, effects such as “infections rate reduction” and “shorter treatment time” [31,55,63].”
Background
- Authors
- Improta, G., Cesarelli, M., Montuori, P., Santillo, L. C., & Triassi, M.
- Affiliations
- University of Naples Federico II (IT)
- Corresponding author
- Improta, Giovanni
- Venue
- Journal of Evaluation in Clinical Practice
- Publisher
- Wiley
- Published
- 2017-11-03
- Volume
- 24
- Issue
- 2
- Pages
- 338-346
- ISSN
- 1356-1294 (ISSN-L)
- 1365-2753
- PMC
- PMC5900966
- OpenAlex
- W2766398381
- Cited by
- 78
- References
- 1
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 3 · 2023: 6 · 2022: 7 · 2021: 22 · 2020: 16 · 2019: 8 · 2018: 4
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Evaluation in Clinical Practice (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Keywords
- nosocomial infections, Lean Six Sigma, infection control, quality improvement, infection risk factors
- MeSH terms
- Cross Infection, Data Collection, Hospitals, University, Humans, Italy, Practice Guidelines as Topic, Efficiency, Organizational, Total Quality Management, Quality Improvement, Root Cause Analysis
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