Reducing Hospital-acquired Infection Rate using the Six Sigma DMAIC Approach

Real-time intervention to increase daily chlorhexidine bathing and reduce central line-associated bloodstream infections

Background

After an increase of central line-associated bloodstream infections (CLABSIs) at our community hospital in 2021, a case-control study suggested that patients with CLABSIs were 3.0 times more likely to have missed daily chlorhexidine gluconate (CHG) bathing than patients without CLABSIs.

Objective

To increase the rate of daily CHG bathing in hospitalized patients with central lines and subsequently reduce the number of CLABSIs.

Methods

Our pre-post intervention was launched on September 2022 and consisted of enhancements to the electronic health record (EHR) to simplify the identification of overdue CHG bathing instances to increase compliance, and therefore decrease the CLABSI rate at our hospital. A workflow was implemented Monday-Friday utilizing these EHR enhancements for active surveillance to engage frontline nursing staff and address gaps in care in real time.

Results

After the initiative was implemented, adherence to daily CHG bathing increased from 94.9% to 95.3%, with a considerable disparity between weekdays (97.6%) and weekends (89.3%). After weekend data were excluded, the post-intervention increase in the adherence rate was statistically significant (p = .003).

Discussion

This initiative underscored the importance of involving health care informatics partners and showed how technology can bridge gaps in health care quality. Outreach and reminders effectively improved CHG bathing adherence by emphasizing the importance of consistent communication and follow-up.

Reducing catheter-related bloodstream infections using Lean Six Sigma methodology

BACKGROUND

Central venous catheters (CVC) are used for dialysis in end-stage renal disease patients, presenting a significant risk for Catheter-Related Bloodstream Infections (CRBSI). While Lean Six Sigma has been effective in reducing CRBSI, its efficacy outside intensive care units (ICU) remains less explored. This study aims to evaluate the effectiveness of Lean Six Sigma in mitigating CRBSI risks among non-ICU hemodialysis patients.

METHODS

The study was conducted in a nephrology department, focusing on patients undergoing hemodialysis with temporary CVC from February to December 2021. The Lean Six Sigma method, using Define-Measure-Analyze-Improve-Control (DMAIC) methodology, was implemented in 2022 to reduce CRBSI incidence. The 2021 CRBSI rate served as the benchmark, with a goal to reduce it by the end of 2022. Value-stream mapping, Fishbone Diagrams, and Root Cause Analysis identified potential CRBSI causes. After implementing targeted improvements, CRBSI rates before and after the intervention were compared.

RESULTS

The Lean Six Sigma method significantly decreased CRBSI incidence from 12.79 to 2.32 per 1,000 catheter-days following the implementation of targeted interventions ([Formula: see text]=4.60, P = 0.05). This improvement was observed comparing February-December 2021 with January-December 2022.

CONCLUSION

The findings demonstrate the effectiveness of the Lean Six Sigma method in non-ICU settings, suggesting broader applicability in hemodialysis patient care.

Use of the DMAIC Lean Six Sigma quality improvement framework to improve beta-lactam antibiotic adequacy in the critically ill

Beta-lactam antibiotics are widely used in the intensive care unit due to their favorable effectiveness and safety profiles. Beta-lactams given to patients with sepsis must be delivered as soon as possible after infection recognition (early), treat the suspected organism (appropriate), and be administered at a dose that eradicates the infection (adequate). Early and appropriate antibiotic delivery occurs in >90% of patients, but less than half of patients with sepsis achieve adequate antibiotic exposure. This project aimed to address this quality gap and improve beta-lactam adequacy using the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework. A multidisciplinary steering committee was formed, which completed a stakeholder analysis to define the gap in practice. An Ishikawa cause and effect (Fishbone) diagram was used to identify the root causes and an impact/effort grid facilitated prioritization of interventions. An intervention that included bundled education with the use of therapeutic drug monitoring (TDM; i.e. drug-level testing) was projected to have the highest impact relative to the amount of effort and selected to address beta-lactam inadequacy in the critically ill. The education and TDM intervention were deployed through a Plan, Do, Study, Act cycle. In the 3 months after "go-live," 54 episodes of beta-lactam TDM occurred in 41 unique intensive care unit patients. The primary quality metric of beta-lactam adequacy was achieved in 94% of individuals after the intervention. Ninety-four percent of clinicians gauged the education provided as sufficient. The primary counterbalance of antimicrobial days of therapy, a core antimicrobial stewardship metric, was unchanged over time (favorable result; P = .73). Application of the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework effectively improved beta-lactam adequacy in critically ill patients. The approach taken in this quality improvement project is widely generalizable to other drugs, drug classes, or settings to increase the adequacy of drug exposure.

Clean hands, safe care: how knowledge, attitude, and practice impact hand hygiene among nurses in Najran, Saudi Arabia

Introduction

Healthcare-acquired infections are infections that patients acquire while receiving treatment for a medical or surgical condition and can occur in all care facilities. Hospital-acquired infections and the spread of antimicrobial resistance can be reduced by implementing proper preventive measures, including hand hygiene.

Aim

This study aimed to assess nurses' knowledge and attitudes toward hand hygiene guidelines in Najran city, determine compliance levels, identify factors contributing to non-compliance, and provide recommendations for interventions to improve hand hygiene practices and reduce healthcare-associated infections risk.

Subject and methods

This cross-sectional study was conducted among nurses working in the selected government hospitals in Najran City, Saudi Arabia. A self-administered questionnaire was distributed among the targeted nurses using an online survey. The questionnaire includes socio-demographic characteristics such as age, gender, and marital status. The questionnaire had 25 items to measure knowledge, 10 to measure attitude, 6 to measure practices, and 4 to measure the impact of COVID-19 on hand hygiene practices.

Results

Among the 386 nurses recruited, 88.3% were females, and 25.6% were aged between 31 to 35 years old. Overall, good knowledge, positive attitude, and good practice levels were found in 42.5, 48.4, and 94%, respectively. The common factor influencing hand hygiene practice was the prevention of cross-infection (88.1%). The total knowledge score mean was 18 ± 3.4 (highest possible score: 25). The total attitude score mean was 37.5 ± 6.1 (highest possible score: 50). The total practice score mean was 26.9 ± 2.8 (highest possible score: 30). A higher score indicates higher KAP of hand hygiene. Factors associated with increased KAP were being older in age (Z = 6.446; p < 0.001), gender female (Z = 9.869; p < 0.001), being a Filipino nurse (H = 117.8; p < 0.001), working in a surgery department (H = 28.37; p < 0.001), having more than 10 years of experience (Z = 6.903; p < 0.001), living in shared accommodation (H = 87.22; p < 0.001), having associated chronic disease (Z = 4.495; p < 0.001), and receiving formal training in hand hygiene (Z = 2.381; p = 0.017). There was a positive highly statistically significant correlation between knowledge score and attitude score (r = 0.556), between knowledge score and practices score (r = 0.303), and between attitude score and practices score (r = 0.481).

Conclusion

In light of the results, we can say that the nurses' knowledge, attitude, and practice in regards to hand hygiene were deemed acceptable. We noticed that female nurses who were older and had more experience, as well as those who had received formal hand hygiene training, displayed better KAP compared to their counterparts. Moreover, we found a significant and positive correlation between the scores for knowledge, attitude, and practice. Nonetheless, additional research is necessary to establish the extent of KAP concerning hand hygiene.

Impact of the Accreditation Program of the Saudi Central Board for Accreditation of Healthcare Institutions on the Safety Dimension of the Institute of Medicine Quality

Background

Although hospital accreditation is recognized as a tool for improving healthcare, there are inconsistent results regarding its impact on healthcare quality. In Saudi Arabia, it is mandatory for all Ministry of Health (MOH) hospitals to be accredited by the Central Board for Accreditation of Healthcare Institutions (CBAHI).

Purpose

This study measured the impact of the CBAHI accreditation program on the Institute of Medicine's (IOM) safety dimension in Madinah.

Methods

A cross-sectional study was conducted using retrospective data gathered from a review of hospital records over 60 months (ie, 12 months before, 36 during, and 12 post-accreditation). The data were analyzed using piecewise (segmented) regression analysis.

Results

The three indicators (ie: incident reports, medication errors, and nosocomial infection) were continuously improved compared to the data before accreditation, as a results of implementing the CBAHI accreditation program. Therefore, the CBAHI had a significantly positively impacts on MOH hospitals' safety dimension.

Conclusion

Complying with the CBAHI standards can help reduce the rates of incident reports, medication errors, nosocomial infections, and post-admission mortality. This study provides insight for MOH hospitals and opportunities to expand the accreditation program to improve the quality of healthcare services.

Sustaining Improvements of Surgical Site Infections by Six Sigma DMAIC Approach

SSIs (surgical site infections) are associated with increased rates of morbidity and mortality. The traditional quality improvement strategies focusing on individual performance did not achieve sustainable improvement. This study aimed to implement the Six Sigma DMAIC method to reduce SSIs and to sustain improvements in surgical quality. The surgical procedures, clinical data, and surgical site infections were collected among 42,233 hospitalized surgical patients from 1 January 2019 to 31 December 2020. Following strengthening leadership and empowering a multidisciplinary SSI prevention team, DMAIC (Define, Measure, Analyze, Improve, and Control) was used as the performance improvement model. An evidence-based prevention bundle for reduction of SSI was adopted as performance measures. Environmental monitoring and antimicrobial stewardship programs were strengthened to prevent the transmission of multi-drug resistant microorganisms. Process change was integrated into a clinical pathway information system. Improvement cycles by corrective actions for the risk events of SSIs were implemented to ensure sustaining improvements. We have reached the targets of the prevention bundle elements in the post-intervention period in 2020. The carbapenem resistance rates of Enterobacteriaceae and P. aeruginosa were lower than 10%. A significant 22.2% decline in SSI rates has been achieved, from 0.9% for the pre-intervention period in 2019 to 0.7% for the post-intervention period in 2020 (p = 0.004). Application of the Six Sigma DMAIC approach could significantly reduce the SSI rates. It also could help hospital administrators and quality management personnel to create a culture of patient safety.

Nosocomial COVID - The Moral and Clinical Imperative for Worldwide Data Collection and Action

There is a wide disparity worldwide in data collection and sharing of rates of hospital-acquired coronavirus disease (COVID). There is an ethical imperative that such information is systematically gathered, distributed and acted on to reduce rates of this form of preventable and devastating transmission during a pandemic.

Incidence of Healthcare-Associated Infections (HAIs) and the adherence to the HAIs' prevention strategies in a military hospital in Alkharj

Background

Healthcare-associated infections (HAI) are considered one of the most common adverse events in health care service provision. In order to prevent the occurrence of HAIs, it is important to implement several prevention strategies.

Objectives

This study aims to determine the incidence of healthcare-associated infections in a military hospital in Alkharj and the adherence to the HAIs' prevention strategies.

Methods

This study included exporting data for all infected cases confirmed by the infection disease specialists in 2019. The data were collected from the reports that were written by infection control unit and infectious disease department.

Results

The rate of healthcare associated infections (HAIs) in 2019 was 0.43% of total patient admissions. The rate of central line associated bloodstream infections in 2019 was 1.15 per 1000 central line days. The rate of catheter associated urinary tract infections in 2019 was 1.00 per 1000 catheter days. The rate of ventilator associated pneumonia in 2019 was 2.11 per 1000 ventilator days and the rate of surgical site infections in 2019 was 0.41 %.

Conclusion

The rate of overall healthcare-associated infections (HAI) was low. The compliance rate of health care workers to preventive measures that control HAIs was generally high but there was a need for more awareness particularly regarding personal protective equipment and hand hygiene. So it is important to attend more awareness activities and workshops particularly regarding personal protective equipment and hand hygiene. Furthermore, infection control unit and infectious disease department in the hospital should support the robust HAI prevention programs.

Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital

Background

The 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.

Methods

The 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.

Results

A 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 R squared showed that the variables considered explain most of the variance of LOS.

Conclusion

SS 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.

A Physician-Driven Quality Improvement Stewardship Intervention Using Lean Six Sigma Improves Patient Care for Community-Acquired Pneumonia

Introduction

The Infectious Diseases Society of America (IDSA) recommends a minimum of 5 days of antibiotic therapy in stable patients who have community-acquired pneumonia (CAP). However, excessive duration of therapy (DOT) is common. Define, measure, analyze, improve, and control (DMAIC) is a Lean Six Sigma methodology used in quality improvement efforts, including infection control; however, the utility of this approach for antimicrobial stewardship initiatives is unknown. To determine the impact of a prospective physician-driven stewardship intervention on excess antibiotic DOT and clinical outcomes of patients hospitalized with CAP. Our specific aim was to reduce excess DOT and to determine why some providers treat beyond the IDSA minimum DOT.

Methods

A single-center, quasi-experimental quality improvement study evaluating rates of excess antimicrobial DOT before and after implementing a DMAIC-based antimicrobial stewardship intervention that included education, prospective audit, and feedback from a physician peer, and daily tracking of excess DOT on a Kaizen board. The baseline period included retrospective CAP cases that occurred between October 2018 and February 2019 (control group). The intervention period included CAP cases between October 2019 and February 2020 (intervention group).

Results

A total of 123 CAP patients were included (57 control and 66 intervention). Median antibiotic DOT per patient decreased (8 versus 5 days; p < 0.001), and the proportion of patients treated for the IDSA minimum increased (5.3% versus 56%; p < 0.001) after the intervention. No differences in mortality, readmission, length of stay, or incidence of Clostridioides difficile infection were observed between groups. Almost half of the caregivers surveyed were aware that as few as 5 days of antibiotic treatment could be appropriate.

Conclusions

A physician-driven antimicrobial quality improvement initiative designed using DMAIC methodology led to reduced DOT and increased compliance with the IDSA treatment guidelines for hospitalized patients with CAP reduced without negatively affecting clinical outcomes.

A Six Sigma DMAIC methodology as a support tool for Health Technology Assessment of two antibiotics

Health Technology Assessment (HTA) and Six Sigma (SS) have largely proved their reliability in the healthcare context. The former focuses on the assessment of health technologies to be introduced in a healthcare system. The latter deals with the improvement of the quality of services, reducing errors and variability in the healthcare processes. Both the approaches demand a detailed analysis, evidence-based decisions, and efficient control plans. In this paper, the SS is applied as a support tool for HTA of two antibiotics with the final aim of assessing their clinical and organizational impact in terms of postoperative Length Of Stay (LOS) for patients undergoing tongue cancer surgery. More specifically, the SS has been implemented through its main tool, namely the DMAIC (Define, Measure, Analyse, Improve, Control) cycle. Moreover, within the DMAIC cycle, a modelling approach based on a multiple linear regression analysis technique is introduced, in the Control phase, to add complementary information and confirm the results obtained by the statistical analysis performed within the other phases of the SS DMAIC. The obtained results show that the proposed methodology is effective to determine the clinical and organizational impact of each of the examined antibiotics, when LOS is taken as a measure of performance, and guide the decision-making process. Furthermore, our study provides a systematic procedure which, properly combining different and well-assessed tools available in the literature, demonstrated to be a useful guidance for choosing the right treatment based on the available data in the specific circumstance.

Health technology assessment through Six Sigma Methodology to assess cemented and uncemented protheses in total hip arthroplasty

The purpose of this study is to use Health Technology Assessment (HTA) through the Six Sigma (SS) and DMAIC (Define, Measure, Analyse, Improve, Control) problem-solving strategies for comparing cemented and uncemented prostheses in terms of the costs incurred for Total hip arthroplasty (THA) and the length of hospital stay (LOS). Multinomial logistic regression analysis for modelling the data was also performed. Quantitative parameters extracted from gait analysis, electromyography and computed tomography images were used to compare the approaches, but the analysis did not show statistical significance. The variables regarding costs were studied with the Mann-Whitney and Kruskal-Wallis tests. No statistically significant difference between cemented and uncemented prosthesis for the total cost of LOS was found, but the cost of the surgeon had an influence on the overall expenses, affecting the cemented prosthetic approach. The material costs of surgery for the uncemented prosthesis and the cost of theatre of surgery for the cemented prosthesis were the most influential. Multinomial logistic regression identified the Vastus Lateralis variable as statistically significant. The overall accuracy of the model is 93.0%. The use of SS and DMAIC cycle as tools of HTA proved that the cemented and uncemented approaches for THA have similar costs and LOSy.

A health technology assessment between two pharmacological therapies through Six Sigma: the case study of bone cancer

Purpose

Head and neck cancers are multi-factorial diseases that can affect many sides of people's life and are due to a lot of risk factors. According to their characteristics, the treatment can be surgical, use of radiation or chemotherapy. The use of a surgical treatment can lead to surgical infections that are a main theme in medicine. At the University hospital of Naples “Federico II”, two antibiotics were employed to tackle the issue of the infections and they are compared in this paper to find which one implies the lowest length of hospital stay (LOS) and the reduction of infections.

Design/methodology/approach

The Six Sigma methodology and its problem-solving strategy DMAIC (define, measure, analyse, improve, control), already employed in the healthcare sector, were used as a tool of a health technology assessment between two drugs. In this paper the DMAIC roadmap is used to compare the Ceftriaxone (administered to a group of 48 patients) and the association of Cefazolin plus Clindamycin (administered to a group of 45 patients).

Findings

The results show that the LOS of patients treated with Ceftriaxone is lower than those who were treated with the association of Cefazolin plus Clindamycin, the difference is about 41%. Moreover, a lower number of complications and infections was found in patients who received Ceftriaxone. Finally, a greater number of antibiotic shifts was needed by patients treated with Cefazolin plus Clindamycin.

Research limitations/implications

While the paper enhances clearly the advantages for patients' outcomes regarding the LOS and the number of complications, it did not analyse the costs of the two antibiotics.

Practical implications

Employing the Ceftriaxone would allow the Department of Maxillofacial Surgery to obtain lower LOS and a limited number of complications/infections for recovered patients, consequently reducing the hospitalization costs.

Originality/value

There is a double value in this paper: first of all, the comparison between the two antibiotics gives an answer to one of the main issues in medicine that is the reduction of hospital-acquired infections; secondly, the Six Sigma through its DMAIC cycle can be employed also to compare two biomedical technologies as a tool of health technology assessment studies.

Practical application of Six Sigma management in analytical biochemistry processes in clinical settings

BACKGROUND

Six Sigma methodology with a zero-defect goal has long been applied in commercial settings and was utilized in this study to assure/improve the quality of various analytes.

METHODS

Daily internal quality control (QC) and external quality assessment data were collected and analyzed by calculating the sigma (σ) values for 19 analytes based on the coefficient of variation, bias, and total error allowable. Standardized QC sigma charts were established with these parameters. Quality goal index (QGI) analysis and root cause analysis (RCA) were used to discover potential problems for the analytes.

RESULTS

Five analytes with σ ≥ 6 achieved world-class performance, and only the Westgard rule (1_3s ) with one control measurement at two QC material levels (N2) per QC event and a run size of 1000 patient samples between QC events (R1000) was needed for QC. In contrast, more control rules (2_2s /R_4s /4_1s ) along with high N values and low R values were needed for quality assurance for five analytes with 4 ≤ σ < 6. However, the sigma levels of nine analytes were σ < 4 at one or more QC levels, and a more rigorous QC procedure (1_3s /2_2s /R_4s /4_1s /8_x with N4 and R45) was implemented. The combination of QGI analysis and RCA further revealed inaccuracy or imprecision problems for these analytes with σ < 4 and discovered five aspects of potential causes considered for quality improvement.

CONCLUSIONS

Six Sigma methodology is an effective tool for evaluating the performance of biochemical analytes and is conducive to quality assurance and improvement.