Background: Quality improvement (QI) methods have been widely adopted in health care. Although theoretical frameworks and models for organizing successful QI programs have been described, few reports have provided practical examples to link existing QI theory to building a unit-based QI program. The purpose of this report is to describe the authors' experience in building QI infrastructure in a large neonatal ICU (NICU).
Methods: A unit-based QI program was developed with the goal of fostering the growth of high-functioning QI teams. This program was based on six pillars: shared vision for QI, QI team capacity, QI team capability, actionable data for improvement, culture of improvement, and QI team integration with external collaboratives. Multiple interventions were developed, including a QI dashboard to align NICU metrics with unit and hospital quality goals, formal training for QI leaders, QI coaches imbedded in project teams, a day-long QI educational workshop to introduce QI methodology to unit staff, and a secure, Web-based QI data infrastructure.
Results: Over a five-year period, this QI infrastructure brought organization and support for individual QI project teams and improved patient outcomes in the unit. Two case studies are presented, describing teams that used support from the QI infrastructure. The Infection Prevention team reduced central line-associated bloodstream infections from 0.89 to 0.36 infections per 1,000 central line-days. The Nutrition team decreased the percentage of very low birth weight infants discharged with weights less than the 10th percentile from 51% to 40%.
Conclusion: The clinicians provide a pragmatic example of incorporating QI organizational and contextual theory into practice to support the development of high-functioning QI teams and build a unit-based QI program.
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http://dx.doi.org/10.1016/j.jcjq.2021.06.003 | DOI Listing |
Implement Sci Commun
January 2025
Department of Obstetrics and Gynecology, University of Michigan, 2800 Plymouth Rd., Building #10, Rm G016, Ann Arbor, MI, 48109-5276, USA.
Background: Pain management after childbirth is widely variable, increasing risk of untreated pain, opioid harms, and inequitable experiences of care. The Creating Optimal Pain Management FOR Tailoring Care (COMFORT) clinical practice guideline (CPG) seeks to promote evidence-based, equitable acute peripartum pain management in the United States. We aimed to identify contextual conditions (i.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Department of Neurology, Guilin Medical University Affiliated Hospital, 15 Lequn Road, Guilin, Guangxi, 541000, China.
Background: Patients with transient ischemic attack (TIA) face a significantly increased risk of stroke. However, TIA screening and early detection rates are low, especially in developing countries. This study aims to develop an inclusive and practical TIA risk prediction model using machine learning (ML) that performs well in both hospital and resource-limited clinic settings.
View Article and Find Full Text PDFBACKGROUND: The epilepsy monitoring unit (EMU) is an independent unit for video electroencephalogram monitoring of epilepsy patients, with the aim of capturing typical seizure events. Because of the uncontrolled seizure frequency, there may be safety risks for patients, such as falling, trauma, aspiration, status epilepticus, and sudden unexpected death in epilepsy. This study aims to evaluate the application effect of comprehensive safety projects on safety management in a pediatric EMU.
View Article and Find Full Text PDFSci Rep
November 2024
School of Mechanical and Aerospace Engineering, Jilin University, Key Laboratory of CNC Equipment Reliability, Ministry of Education, Changchun, 130022, Jilin Province, People's Republic of China.
Failure Modes, Effects, and Criticality Analysis (FMECA) is a commonly used method for analyzing system reliability. It is frequently applied in identifying weak points in the reliability of CNC machine tools. However, traditional FMECA has issues such as vague descriptions of risk factors, equal treatment of risk factors, and unclear directions for improving weak points.
View Article and Find Full Text PDFBMC Nurs
October 2024
Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, Brisbane, QLD, 4102, Australia.
Aim: To compare newly graduated nurse retention and employment experiences across two distinct graduate nurse programs through periods of health care delivery stability and instability.
Background: A global nursing workforce shortage, coupled with increasing demands on health services, requires a specific focus on building capability and improved retention of nurses. The graduate nurse cohort is a critical supply source that potentially can be harnessed if their needs are better understood.
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