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Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare
OBJECTIVE: The COVID-19 pandemic emphasises the need to use healthcare resources efficient and effective to guarantee access to high-quality healthcare in an affordable manner. Surgical cancellations have a negative impact on these. We used the Lean Six Sigma (LSS) methodology to reduce cardiac surg...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407222/ https://www.ncbi.nlm.nih.gov/pubmed/34462263 http://dx.doi.org/10.1136/bmjoq-2021-001342 |
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author | Schretlen, Stijn Hoefsmit, Paulien Kats, Suzanne van Merode, Godefridus Maessen, Jos Zandbergen, Reinier |
author_facet | Schretlen, Stijn Hoefsmit, Paulien Kats, Suzanne van Merode, Godefridus Maessen, Jos Zandbergen, Reinier |
author_sort | Schretlen, Stijn |
collection | PubMed |
description | OBJECTIVE: The COVID-19 pandemic emphasises the need to use healthcare resources efficient and effective to guarantee access to high-quality healthcare in an affordable manner. Surgical cancellations have a negative impact on these. We used the Lean Six Sigma (LSS) methodology to reduce cardiac surgical cancellations in a University Medical Center in the Netherlands, where approximately 20% of cardiac surgeries were being cancelled. METHOD: A multifunctional project team used the data-driven LSS process improvement methodology and followed the ‘DMAIC’ improvement cycle (Define, Measure, Analyse, Improve, Control). Through all DMAIC phases, real-world data from the hospital information system supported the team during biweekly problem-solving sessions. This quality improvement study used an ‘interrupted time series’ study design. Data were collected between January 2014 and December 2016, covering 20 months prior and 16 months after implementation. Outcomes were number of last-minute coronary artery bypass graft cancellations, number of repeated diagnostics, referral to treatment time and patient satisfaction. Statistical process control charts visualised the change and impact over time. Students two-sample t-test was used to test statistical significance. A p<0.05 was considered as statistically significant. RESULTS: Last-minute cancellations were reduced by 50% (p=0.010), repeated preoperative diagnostics (X-ray) declined by 67% (p=0.021), referral to treatment time reduced by 35% (p=0.000) and patient Net Promoter Score increased by 14% (p=0.005). CONCLUSION: This study shows that LSS is an effective quality improvement approach to help healthcare organisations to deliver more safe, timely, effective, efficient, equitable and patient-centred care. Crucial success factors were the use of a structured data-driven problem-solving approach, focus on patient value and process flow, leadership support and engagement of involved healthcare professionals through the entire care pathway. Ongoing monitoring of key performance indicators is helpful in engaging the organisation to maintain continuous process improvement and sustaining long-term impact. |
format | Online Article Text |
id | pubmed-8407222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84072222021-09-29 Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare Schretlen, Stijn Hoefsmit, Paulien Kats, Suzanne van Merode, Godefridus Maessen, Jos Zandbergen, Reinier BMJ Open Qual Quality Improvement Report OBJECTIVE: The COVID-19 pandemic emphasises the need to use healthcare resources efficient and effective to guarantee access to high-quality healthcare in an affordable manner. Surgical cancellations have a negative impact on these. We used the Lean Six Sigma (LSS) methodology to reduce cardiac surgical cancellations in a University Medical Center in the Netherlands, where approximately 20% of cardiac surgeries were being cancelled. METHOD: A multifunctional project team used the data-driven LSS process improvement methodology and followed the ‘DMAIC’ improvement cycle (Define, Measure, Analyse, Improve, Control). Through all DMAIC phases, real-world data from the hospital information system supported the team during biweekly problem-solving sessions. This quality improvement study used an ‘interrupted time series’ study design. Data were collected between January 2014 and December 2016, covering 20 months prior and 16 months after implementation. Outcomes were number of last-minute coronary artery bypass graft cancellations, number of repeated diagnostics, referral to treatment time and patient satisfaction. Statistical process control charts visualised the change and impact over time. Students two-sample t-test was used to test statistical significance. A p<0.05 was considered as statistically significant. RESULTS: Last-minute cancellations were reduced by 50% (p=0.010), repeated preoperative diagnostics (X-ray) declined by 67% (p=0.021), referral to treatment time reduced by 35% (p=0.000) and patient Net Promoter Score increased by 14% (p=0.005). CONCLUSION: This study shows that LSS is an effective quality improvement approach to help healthcare organisations to deliver more safe, timely, effective, efficient, equitable and patient-centred care. Crucial success factors were the use of a structured data-driven problem-solving approach, focus on patient value and process flow, leadership support and engagement of involved healthcare professionals through the entire care pathway. Ongoing monitoring of key performance indicators is helpful in engaging the organisation to maintain continuous process improvement and sustaining long-term impact. BMJ Publishing Group 2021-08-30 /pmc/articles/PMC8407222/ /pubmed/34462263 http://dx.doi.org/10.1136/bmjoq-2021-001342 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Quality Improvement Report Schretlen, Stijn Hoefsmit, Paulien Kats, Suzanne van Merode, Godefridus Maessen, Jos Zandbergen, Reinier Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title | Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title_full | Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title_fullStr | Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title_full_unstemmed | Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title_short | Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare |
title_sort | reducing surgical cancellations: a successful application of lean six sigma in healthcare |
topic | Quality Improvement Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407222/ https://www.ncbi.nlm.nih.gov/pubmed/34462263 http://dx.doi.org/10.1136/bmjoq-2021-001342 |
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