ArticleJournal of healthcare engineering2021
Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- The management of healthcare-related infections through lean methodology: systematic review and meta-analysis of observational studies.Journal of preventive medicine and hygiene · 2022Pooled it
- Application of Lean Six Sigma Combined with Pre-Prescription Review System in Reducing the Irrational Rate of Emergency Prescriptions: A Single Center Study.Risk management and healthcare policy · 2025Article
- Six Sigma can significantly reduce costs of poor quality of the surgical instruments sterilization process and improve surgeon and operating room personnel satisfaction.Scientific reports · 2023Observational
- Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography.Current oncology (Toronto, Ont.) · 2023Article
- Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study.International journal of environmental research and public health · 2022Article
- Lean Management Approach for Reengineering the Hospital Cardiology Consultation Process: A Report from AORN "A. Cardarelli" of Naples.International journal of environmental research and public health · 2022Article
- Regression Models to Study the Total LOS Related to Valvuloplasty.International journal of environmental research and public health · 2022Article
- Comparing Two Approaches for Thyroidectomy: A Health Technology Assessment through DMAIC Cycle.Healthcare (Basel, Switzerland) · 2022Article
- DMAIC methodology for achieving public satisfaction with health departments in various districts of Punjab and optimizing CT scan patient load in urban city hospitals.AIMS public health · 2022Article
- Lean Management Improves the Process Efficiency of Controlled Ovarian Stimulation Monitoring in IVF Treatment.Journal of healthcare engineering · 2022Article
- Prioritizing and Overcoming Barriers to e-Health Use among Elderly People: Implementation of the Analytical Hierarchical Process (AHP).Journal of healthcare engineering · 2022Article
- Health Promotion Effects of Sports Training Based on HMM Theory and Big Data.Applied bionics and biomechanics · 2022Article
- Operation Note Transformation: The Application of Lean Six Sigma to Improve the Process of Documenting the Operation Note in a Private Hospital Setting.International journal of environmental research and public health · 2021Article
- A Health Technology Assessment in Maxillofacial Cancer Surgery by Using the Six Sigma Methodology.International journal of environmental research and public health · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Health Technology Assessment (HTA) is used to evaluate health services, manage healthcare processes more efficiently, and compare medical technologies. The aim of this paper is to carry out an HTA study that compares two pharmacological therapies and provides the clinicians with two models to predict the length of hospital stay (LOS) of patients undergoing oral cavity cancer surgery on the bone tissue.
methodsThe six Sigma method was used as a tool of HTA; it is a technique of quality management and process improvement that combines the use of statistics with a five-step procedure: "Define, Measure, Analyze, Improve, Control" referred to in the acronym DMAIC. Subsequently, multiple linear regression has been used to create two models. Two groups of patients were analyzed: 45 were treated with ceftriaxone while 48 were treated with the combination of cefazolin and clindamycin.
resultsA reduction of the overall mean LOS of patients undergoing oral cavity cancer surgery on bone was observed of 40.9% in the group treated with ceftriaxone. Its reduction was observed in all the variables of the ceftriaxone group. The best results are obtained in younger patients (-54.1%) and in patients with low oral hygiene (-52.4%) treated. The regression results showed that the best LOS predictors for cefazolin/clindamycin are ASA score and flap while for ceftriaxone, in addition to these two, oral hygiene and lymphadenectomy are the best predictors. In addition, the adjusted
conclusionSS methodology, used as an HTA tool, allowed us to understand the performance of the antibiotics and provided variables that mostly influence postoperative LOS. The obtained models can improve the outcome of patients, reducing the postoperative LOS and the relative costs, consequently increasing patient safety, and improving the quality of care provided.
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