1
|
Barker L, Gilstrap D, Sova C, Smith BA, Reynolds SS. Reducing Clostridioides difficile Infections in a Medical Intensive Care Unit: A Multimodal Quality Improvement Initiative. Dimens Crit Care Nurs 2024; 43:212-216. [PMID: 38787778 DOI: 10.1097/dcc.0000000000000644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Clostridioides difficile (C. diff) infection causes significant morbidity for hospitalized patients. A large medical intensive care unit had an increase in C. diff infection rates. OBJECTIVES The aim of this project was to reduce the C. diff polymerase chain reaction (PCR) test positivity rate and the rate of C. diff PCR tests ordered. Rates were compared between preintervention (July 2017 to December 2019) and postintervention (January 2021 to December 2022) timeframes. METHODS Unit leadership led a robust quality improvement project, including use of quality improvement tools such as A3, Gemba walks, and plan-do-study-act cycles. Interventions were tailored to the barriers identified, including standardization of in-room supply carts; use of single-packaged oral care kits; new enteric precautions signage; education to staff, providers, and visitors; scripting for patients and visitors; and use of a C. diff testing algorithm. Statistical process control charts were used to assess for improvements. RESULTS The average rate of C. diff PCR test positivity decreased from 34.9 PCR positive tests per 10 000 patient days to 12.3 in the postintervention period, a 66% reduction. The average rate of PCR tests ordered was 28 per 1000 patient days in the preintervention period; this decreased 44% to 15.7 in the postintervention period. DISCUSSION We found clinically significant improvements in the rate of C. diff infection and PCR tests ordered as a result of implementing tailored interventions in a large medical intensive care unit. Other units should consider using robust quality improvement methods and tools to conduct similar initiatives to reduce patient harm and improve care and outcomes.
Collapse
|
2
|
Zaver HB, Moktan VP, Harper EP, Bali A, Nasir A, Foulks C, Kuhlman J, Green M, Algan GA, Parth HC, Wu-Ballis M, DiCicco S, Smith BT, Owen RN, Mai LS, Spiros SL, Griffis J, Ramsey Walker DT, Hata DJ, Oring JM, Powers HR, Bosch W. Reduction in Health Care Facility-Onset Clostridioides difficile Infection: A Quality Improvement Initiative. Mayo Clin Proc Innov Qual Outcomes 2021; 5:1066-1074. [PMID: 34820598 PMCID: PMC8599925 DOI: 10.1016/j.mayocpiqo.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Objective To reduce health care facility–onset (HCFO) Clostridioides difficile infection (CDI) incidence by improving diagnostic stewardship and reducing the inappropriate testing of C difficile assays. Patients and Methods A multidisciplinary team conducted a quality improvement initiative from January 1, 2020, through March 31, 2021. Clostridioides difficile infection and inappropriate testing were identified via electronic health records using predefined criteria related to stool quantity/caliber, confounding medications, and laboratory data. An intervention bundle was designed including (1) provider education, (2) implementation of an appropriate testing algorithm, (3) expert review of C difficile orders, and (4) batch testing of assays to facilitate review and cancellation if inappropriate. Results Compared with a baseline period from January to September 2020, implementation of our intervention bundle from December 2020 to March 2021 resulted in an 83.6% reduction in inappropriate orders tested and a 41.7% reduction in HCFO CDI incidence. Conclusion A novel prevention bundle improved C difficile diagnostic stewardship and HCFO CDI incidence by reducing testing of inappropriate orders. Such initiatives targeting HCFO CDI may positively affect patient safety and hospital reimbursement.
Collapse
Key Words
- ATA, appropriate testing algorithm
- CDC, Centers for Disease Control and Prevention
- CDI, Clostridioides difficile infection
- CMS, Centers for Medicare & Medicaid Services
- COVID, coronavirus disease
- HAI, health care–associated infection
- HCFO, health care facility–onset
- IDSA, Infectious Diseases Society of America
- IPAC, infection prevention and control
- PCR, polymerase chain reaction
- QI, quality improvement
- SIR, standardized infection ratio
Collapse
Affiliation(s)
- Himesh B Zaver
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Varun P Moktan
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Eugene P Harper
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Aman Bali
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Ayan Nasir
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Carla Foulks
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Justin Kuhlman
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Max Green
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Gillian A Algan
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - Heather C Parth
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | | | - Sandra DiCicco
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - Brenda T Smith
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - Ronald N Owen
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - Lorraine S Mai
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - Sarah L Spiros
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL
| | - John Griffis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL
| | | | - D Jane Hata
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL
| | - Justin M Oring
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL.,Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL
| | - Harry R Powers
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL.,Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL
| | - Wendelyn Bosch
- Infection Prevention and Control, Mayo Clinic, Jacksonville, FL.,Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL
| |
Collapse
|
3
|
Cho J, Shin S, Jeong Y, Lee E, Ahn S, Won S, Lee E. Healthcare Quality Improvement Analytics: An Example Using Computerized Provider Order Entry. Healthcare (Basel) 2021; 9:1187. [PMID: 34574961 PMCID: PMC8471240 DOI: 10.3390/healthcare9091187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/02/2021] [Accepted: 09/07/2021] [Indexed: 11/16/2022] Open
Abstract
Evaluation of sustainability after quality improvement (QI) projects in healthcare settings is an essential part of monitoring and future QI planning. With limitations in adopting quasi-experimental study design in real-world practice, healthcare professionals find it challenging to present the sustained effect of QI changes effectively. To provide quantitative methodological approaches for demonstrating the sustainability of QI projects for healthcare professionals, we conducted data analyses based on a QI project to improve the computerized provider order entry system to reduce patients' dosing frequencies in Korea. Data were collected for 5 years: 24-month pre-intervention, 12-month intervention, and 24-month post-intervention. Then, analytic approaches including control chart, Analysis of Variance (ANOVA), and segmented regression were performed. The control chart intuitively displayed how the outcomes changed over the entire period, and ANOVA was used to test whether the outcomes differed between groups. Last, segmented regression analysis was conducted to evaluate longitudinal effects of interventions over time. We found that the impact of QI projects in healthcare settings should be initiated following the Plan-Do-Study-Act cycle and evaluated long-term effects while widening the scope of QI evaluation with sustainability. This study can serve as a guide for healthcare professionals to use a number of statistical methodologies in their QI evaluations.
Collapse
Affiliation(s)
- Jungwon Cho
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea; (J.C.); (S.S.); (Y.J.); (E.L.)
- Research Institute of Pharmaceutical Sciences & College of Pharmacy, Seoul National University, Seoul 08826, Korea
| | - Sangmi Shin
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea; (J.C.); (S.S.); (Y.J.); (E.L.)
| | - Youngmi Jeong
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea; (J.C.); (S.S.); (Y.J.); (E.L.)
| | - Eunsook Lee
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea; (J.C.); (S.S.); (Y.J.); (E.L.)
| | - Soyeon Ahn
- Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea;
| | - Seunghyun Won
- Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea;
| | - Euni Lee
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si 13620, Korea; (J.C.); (S.S.); (Y.J.); (E.L.)
- Research Institute of Pharmaceutical Sciences & College of Pharmacy, Seoul National University, Seoul 08826, Korea
| |
Collapse
|
4
|
Boly FJ, Reske KA, Kwon JH. The Role of Diagnostic Stewardship in Clostridioides difficile Testing: Challenges and Opportunities. Curr Infect Dis Rep 2020; 22:7. [PMID: 33762897 PMCID: PMC7987129 DOI: 10.1007/s11908-020-0715-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Accurate and timely diagnosis of Clostridioides difficile infection (CDI) is imperative to prevent C. difficile transmission and reduce morbidity and mortality due to CDI, but CDI laboratory diagnostics are complex. The purpose of this article is to review the role of laboratory tests in the diagnosis of CDI, and the role of diagnostic stewardship in optimization of C. difficile testing. RECENT FINDINGS Results from C. difficile diagnostic tests should be interpreted with an understanding of the strengths and limitations inherent in each testing approach. Use of highly sensitive molecular diagnostic tests without accounting for clinical signs and symptoms may lead to over-diagnosis of CDI and increased facility CDI rates. Current guidelines recommend a two-step, algorithmic approach for testing. Diagnostic stewardship interventions, such as education, order sets, order search menus, reflex orders, hard and soft stop alerts, electronic references, feedback and benchmarking, decision algorithms, and predictive analytics may help improve use of C. difficile laboratory tests and CDI diagnosis. The diagnostic stewardship approaches with the highest reported success rates include computerized clinical decision support (CCDS) interventions, face-to-face feedback, and real-time evaluations. SUMMARY CDI is a clinical diagnosis supported by laboratory findings. Together, clinical evaluation combined with diagnostic stewardship can optimize the accurate diagnosis of CDI.
Collapse
|
5
|
Abbasi S, Singh F, Griffel M, Murphy PF. A Process Approach to Decreasing Hospital Onset Clostridium difficile Infections. Jt Comm J Qual Patient Saf 2020; 46:146-152. [DOI: 10.1016/j.jcjq.2019.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 10/15/2019] [Accepted: 10/17/2019] [Indexed: 10/25/2022]
|
6
|
Baker DW, Hyun D, Neuhauser MM, Bhatt J, Srinivasan A. Leading Practices in Antimicrobial Stewardship: Conference Summary. Jt Comm J Qual Patient Saf 2019; 45:517-523. [PMID: 31122789 PMCID: PMC9552040 DOI: 10.1016/j.jcjq.2019.04.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/23/2019] [Accepted: 04/23/2019] [Indexed: 11/21/2022]
Abstract
The Joint Commission's hospital antimicrobial stewardship (AS) standards became effective in January 2017. Surveyors' experience to date suggests that almost all hospitals have established AS leadership commitment and organized structures. Thus, The Joint Commission sought to examine advances in AS interventions and measures that hospitals could implement to strengthen their existing AS programs. METHODS The Joint Commission and Pew Charitable Trusts sponsored a meeting to bring together experts and key stakeholder organizations from around the country to identify leading practices for AS interventions and measurement. Presenters were asked to summarize the AS activities they thought were most important for the success of their own AS program and leading practices that all hospitals should be able to implement. RESULTS The panel highlighted two interventions as leading practices that go beyond current guidelines and established practices (that is, preauthorization and prospective audit and feedback). The first is diagnostic stewardship. This type of intervention addresses errors in diagnostic decision making that lead to inappropriate antibiotic prescribing. The second is handshake stewardship, a method of engaging frontline providers on a regular basis for education and discussions about barriers to AS from the clinician's perspective. The panel identified days of therapy (or defined daily dose, when days of therapy is not possible), Clostridioides difficile rates, and adherence to facility-specific guidelines as the preferred measures for assessing stewardship activities. CONCLUSION The practices highlighted should be given greater emphasis by The Joint Commission in their efforts to improve hospital AS, and the Centers for Disease Control and Prevention will be updating the Core Elements of Hospital Antibiotic Stewardship Programs.
Collapse
|