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1.
Pediatrics ; 137(4)2016 04.
Article in English | MEDLINE | ID: mdl-26936860

ABSTRACT

BACKGROUND AND OBJECTIVE: Despite advances in neonatal medicine, infants requiring neonatal intensive care continue to experience substantial morbidity and mortality. The purpose of this initiative was to generate large-scale simultaneous improvements in multiple domains of care in a large neonatal network through a program called the "100,000 Babies Campaign." METHODS: Key drivers of neonatal morbidity and mortality were identified. A system for retrospective morbidity and mortality review was used to identify problem areas for project prioritization. NICU system analysis and staff surveys were used to facilitate reengineering of NICU systems in 5 key driver areas. Electronic health record-based automated data collection and reporting were used. A quality improvement infrastructure using the Kotter organizational change model was developed to support the program. RESULTS: From 2007 to 2013, data on 422 877 infants, including a subset with birth weight of 501 to 1500 g (n = 58 555) were analyzed. Key driver processes (human milk feeding, medication use, ventilator days, admission temperature) all improved (P < .0001). Mortality, necrotizing enterocolitis, retinopathy of prematurity, bacteremia after 3 days of life, and catheter-associated infection decreased. Survival without significant morbidity (necrotizing enterocolitis, severe intraventricular hemorrhage, severe retinopathy of prematurity, oxygen use at 36 weeks' gestation) improved. CONCLUSIONS: Implementation of a multifaceted quality improvement program that incorporated organizational change theory and automated electronic health record-based data collection and reporting program resulted in major simultaneous improvements in key neonatal processes and outcomes.


Subject(s)
Health Promotion/methods , Health Promotion/trends , Infant Mortality/trends , Intensive Care Units, Neonatal/trends , Intensive Care, Neonatal/methods , Intensive Care, Neonatal/trends , Female , Group Practice/standards , Group Practice/trends , Health Promotion/standards , Humans , Infant , Infant, Newborn , Infant, Premature/physiology , Infant, Very Low Birth Weight/physiology , Intensive Care Units, Neonatal/standards , Intensive Care, Neonatal/standards , Male , Treatment Outcome
2.
Clin Perinatol ; 39(1): 1-10, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22341532

ABSTRACT

Despite many years of heavy use in premature and critically ill newborns, surprisingly few medications have been rigorously tested in neonatal multicenter randomized clinical trials. Little is known about the pharmacology of these drugs at various birth weights, gestational ages, and chronologic ages. This article describes a quality improvement approach to evaluating and improving neonatal intensive care unit (NICU) medication use, with an emphasis on adaptation of drug use to the specific clinical NICU context and use of system-based changes to minimize harm and maximize clinical benefit.


Subject(s)
Infant, Newborn, Diseases/drug therapy , Intensive Care Units, Neonatal , Medication Errors/prevention & control , Neonatology/standards , Pharmaceutical Preparations/administration & dosage , Quality Improvement , Birth Weight , Dose-Response Relationship, Drug , Drug-Related Side Effects and Adverse Reactions , Gestational Age , Humans , Iatrogenic Disease , Infant, Newborn , Patient Safety
3.
Clin Perinatol ; 37(1): 87-99, 2010 Mar.
Article in English | MEDLINE | ID: mdl-20363449

ABSTRACT

This article provides a systematic and pragmatic approach to quality improvement in the neonatal intensive care unit setting. The "model for improvement" serves as the foundation for the approach, and is based on three core questions, followed by cycles of testing: What are we trying to accomplish? How will we know that a change represents an improvement? What changes can we make that will result in continuous improvement? This article reviews these questions in detail and provides specific examples to highlight the practical use of this methodology.


Subject(s)
Intensive Care Units, Neonatal/standards , Neonatology/standards , Quality Assurance, Health Care/methods , Humans , Infant, Newborn , Leadership , Outcome Assessment, Health Care
4.
Clin Perinatol ; 37(1): 141-65, 2010 Mar.
Article in English | MEDLINE | ID: mdl-20363452

ABSTRACT

Improving quality and safety in health care is a major concern for health care providers, the general public, and policy makers. Errors and quality issues are leading causes of morbidity and mortality across the health care industry. There is evidence that patients in the neonatal intensive care unit (NICU) are at high risk for serious medical errors. To facilitate compliance with safe practices, many institutions have established quality-assurance monitoring procedures. Three techniques that have been found useful in the health care setting are failure mode and effects analysis, root cause analysis, and random safety auditing. When used together, these techniques are effective tools for system analysis and redesign focused on providing safe delivery of care in the complex NICU system.


Subject(s)
Intensive Care Units, Neonatal/standards , Medical Audit , Medical Errors/prevention & control , Quality Assurance, Health Care , Humans , Infant, Newborn , Safety Management , Systems Analysis
5.
Clin Perinatol ; 37(1): 203-15, 2010 Mar.
Article in English | MEDLINE | ID: mdl-20363456

ABSTRACT

Comprehensive oxygen management, focused on avoiding hyperoxia and repeated episodes of hypoxia-hyperoxia in very low birth weight infants, has been successfully used for the reduction of retinopathy of prematurity. Building on this experience, the Comprehensive Oxygen Management for the Prevention of Retinopathy of Prematurity quality improvement initiative was developed to facilitate the spread and refinement of these techniques. The initiative focused on staff education and evaluation and redesign of the processes and practices involving oxygen use. Monitoring of the effectiveness of the system changes was supported through audits of clinical practice changes, use of oxygen saturation trending data, and the incidence of retinopathy of prematurity.


Subject(s)
Oxygen Inhalation Therapy/methods , Retinopathy of Prematurity/prevention & control , Humans , Hyperoxia/prevention & control , Hypoxia/prevention & control , Infant, Newborn , Infant, Very Low Birth Weight , Oximetry , Oxygen Inhalation Therapy/adverse effects , Oxygen Inhalation Therapy/standards , Retinopathy of Prematurity/etiology
6.
Pediatrics ; 117(1): e43-7, 2006 Jan.
Article in English | MEDLINE | ID: mdl-16396847

ABSTRACT

OBJECTIVE: To quantify the potential for misidentification among NICU patients resulting from similarities in patient names or hospital medical record numbers (MRNs). METHODS: A listing of all patients who received care in 1 NICU during 1 calendar year was obtained from the unit's electronic medical record system. A patient day was considered at risk for misidentification when the index patient shared a surname, similar-sounding surname, or similar MRN with another patient who was cared for in the NICU on that day. RESULTS: During the 1-year study period, 12186 days of patient care were provided to 1260 patients. The unit's average daily census was 33.4; the maximum census was 48. Not a single day was free of risk for patient misidentification. The mean number of patients who were at risk on any given day was 17 (range: 5-35), representing just over 50% of the average daily census. During the entire calendar year, the risk ranged from 20.6% to a high of 72.9% of the average daily census. The most common causes of misidentification risk were similar-appearing MRNs (44% of patient days). Identical surnames were present in 34% of patient days, and similar-sounding names were present in 9.7% of days. Twins and triplets contributed one third of patient days in the NICU. After these multiple births were excluded from analysis, 26.3% of patient days remained at risk for misidentification. Among singletons, the contribution to misidentification risk of similar-sounding surnames was relatively unchanged (9.1% of patient days), whereas that of similar MRNs and identical surnames decreased (17.6% and 1.0%, respectively). CONCLUSIONS: NICU patients are frequently at risk for misidentification errors as a result of similarities in standard identifiers. This risk persists even after exclusion of multiple births and is substantially higher than has been reported in other hospitalized populations.


Subject(s)
Intensive Care Units, Neonatal , Patient Identification Systems , Humans , Infant, Newborn , Medical Errors , Medical Records Systems, Computerized , Milk, Human , Risk Assessment
7.
Pediatrics ; 113(6): 1609-18, 2004 Jun.
Article in English | MEDLINE | ID: mdl-15173481

ABSTRACT

OBJECTIVES: Medical errors cause significant morbidity and mortality in hospitalized patients. Specialty-based, voluntary reporting of medical errors by health care providers is an important strategy that may enhance patient safety. We developed a voluntary, anonymous, Internet-based reporting system for medical errors in neonatal intensive care, evaluated its feasibility, and identified errors that affect high-risk neonates and their families. METHODS: Health professionals (n = 739) from 54 hospitals in the Vermont Oxford Network received access to a secure Internet site for anonymous reporting of errors, near-miss errors, and adverse events. Reports used free-text entry in phase 1 (17 months) and a structured form in phase 2 (10 months). The number and types of reported events and factors that contributed to the events were measured. RESULTS: Of 1230 reports--522 in phase 1 (17 months) and 708 in phase 2 (10 months)--the most frequent event categories were wrong medication, dose, schedule, or infusion rate (including nutritional agents and blood products; 47%); error in administration or method of using a treatment (14%); patient misidentification (11%); other system failure (9%); error or delay in diagnosis (7%); and error in the performance of an operation, procedure, or test (4%). The most frequent contributory factors were failure to follow policy or protocol (47%), inattention (27%), communications problem (22%), error in charting or documentation (13%), distraction (12%), inexperience (10%), labeling error (10%), and poor teamwork (9%). In 24 reports, family members assisted in discovery, contributed to the cause, or themselves were victims of the error. Serious patient harm was reported in 2% and minor harm in 25% of phase 2 events. CONCLUSIONS: Specialty-based, voluntary, anonymous Internet reporting by health care professionals identified a broad range of medical errors in neonatal intensive care and promoted multidisciplinary collaborative learning. Similar specialty-based systems have the potential to enhance patient safety in a variety of clinical settings.


Subject(s)
Adverse Drug Reaction Reporting Systems , Intensive Care, Neonatal , Medical Errors , Feasibility Studies , Health Personnel , Humans , Infant, Newborn , Internet , Joint Commission on Accreditation of Healthcare Organizations , Medical Errors/statistics & numerical data , Medication Errors/statistics & numerical data , Quality Assurance, Health Care , Surveys and Questionnaires , United States
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