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The Joint Commission Journal on Quality and Patient Safety Welcomes New Editors 质量和患者安全联合委员会杂志欢迎新编辑
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-17 DOI: 10.1016/j.jcjq.2025.07.005
Dojna Shearer (Dojna Shearer is Senior Managing Editor for The Joint Commission Journal on Quality and Patient Safety, Joint Commission Resources, Oakbrook Terrace, IL. Please address correspondence to Dojna Shearer)
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引用次数: 0
Improving Screening for Alpha-1 Antitrypsin Deficiency in Adults with COPD 改善成人COPD患者α -1抗胰蛋白酶缺乏症的筛查。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-11 DOI: 10.1016/j.jcjq.2025.07.002
Margery Dell Smith DNP, FNP-C (is a Nurse Practitioner at Onvida Health Transitional Care Clinic in Yuma, Arizona), Kimberly A. Couch DNP, CNM, FNP-BC (is a Clinical Faculty Member at Frontier Nursing University in Versailles, Kentucky. Please address correspondence to Margery Dell Smith, DNP, FNP-C)

Background

Alpha-1 antitrypsin deficiency (AATD) is an underrecognized hereditary condition affecting approximately 2% of patients with chronic obstructive pulmonary disease (COPD) in the United States. Studies show a correlation between AATD and COPD progression, with a five-year mortality rate of 19% in severe AATD. National costs attributed to COPD were approximately $32.1 billion in 2010 and an estimated $49 billion in 2020. Chart audits at Onvida Health revealed that only 2.0% of patients diagnosed with COPD were tested for AATD. The authors aimed to improve effective care through AATD testing in adult patients with COPD in the primary care setting to 75% in an eight-week time frame.

Methods

Baseline data were obtained from chart audits for patients with COPD and patient/staff surveys. The implementation spanned eight weeks using a Plan-Do-Study-Act (PDSA) process consisting of four cycles and two core interventions analyzed every two weeks. A shared decision-making checklist was developed for AATD screening and testing. A standard of care log constructed from current evidence was implemented for all patients with COPD.

Results

Testing rates improved to 38.1% from a baseline of 2.0%. Although there was a 0.0% positivity rate for the diagnosis of AATD (two abnormal alleles), 19.7% (n = 12 of 61) of patients were identified as AATD carriers (one abnormal and one normal allele).

Conclusion

Utilizing standard of care can aid in disease prevention and prevent progression with early identification of patients with AATD. Suggested next steps include lengthier studies to evaluate the carriers and their offspring.
背景:α -1抗胰蛋白酶缺乏症(AATD)是一种未被充分认识的遗传性疾病,影响了美国约2%的慢性阻塞性肺疾病(COPD)患者。研究表明AATD与COPD进展之间存在相关性,严重AATD的5年死亡率为19%。2010年,全国因慢性阻塞性肺病造成的成本约为321亿美元,2020年估计为490亿美元。Onvida Health的图表审计显示,只有2.0%的慢性阻塞性肺病患者接受了AATD检测。作者的目标是通过AATD测试在初级保健环境中提高成人COPD患者的有效护理,在8周的时间框架内达到75%。方法:基线数据来自慢性阻塞性肺病患者的图表审计和患者/工作人员调查。实施时间长达8周,采用计划-实施-研究-行动(PDSA)流程,包括四个周期,每两周分析两个核心干预措施。制定了AATD筛查和检测的共享决策清单。根据现有证据构建的标准护理日志对所有COPD患者实施。结果:检测率从基线的2.0%提高到38.1%。虽然AATD的诊断阳性率为0.0%(2个异常等位基因),但在61例患者中,有19.7% (n = 12)的患者被鉴定为AATD携带者(1个异常等位基因和1个正常等位基因)。结论:早期发现AATD患者,采用标准护理有助于疾病预防和预防进展。建议下一步包括对携带者及其后代进行更长期的研究。
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引用次数: 0
The Next 50 Years 未来50年。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-08 DOI: 10.1016/j.jcjq.2025.07.001
Elizabeth Mort MD, MPH (is Editor-in-Chief, The Joint Commission Journal on Quality and Patient Safety, and Vice President and Chief Medical Officer, Joint Commission, Oakbrook Terrace, Illinois)
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引用次数: 0
A Systems-Based Framework for Integrating Health Equity and Patient Safety 整合卫生公平和患者安全的系统框架。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.04.005
Jeannette Tsuei MPhil (is Assistant Policy Researcher, RAND Corporation, Santa Monica, California, and PhD Student, RAND School of Public Policy.), Julia I. Bandini PhD (is Behavioral/Social Scientist, RAND Corporation, Boston.), Angela D. Thomas DrPH, MPH, MBA (is Vice President, Healthcare Delivery Research, MedStar Health Research Institute, Columbia, Maryland.), Kortney Floyd James PhD, RN, PNP (is Associate Policy Researcher, RAND Corporation, Santa Monica, California.), Jason Michel Etchegaray PhD (is Associate Director, Disaster Management & Resilience Program, RAND Homeland Security Research Division, and Senior Behavioral and Social Scientist, RAND Corporation, Santa Monica, California.), Lucy Schulson MD, MPH (is Assistant Professor of Medicine, Boston University Chobanian & Avedisian School of Medicine, and Associate Physician Policy Researcher, RAND Corporation, Boston. Please address correspondence to Jeannette Tsuei)
Research is needed to better understand inequities in patient safety, to develop interventions to improve safety and equity together, and to measure the efficacy of such interventions. Although measures of disparities in health outcomes, health care access, and quality of care are common, patient safety equity measurement remains underdeveloped. For example, disparities have often been documented in chronic diseases or access to preventive care but are less frequently studied for adverse drug events or postoperative complications. Patients of minority backgrounds experience higher rates of preventable harm—Black patients face increased risk of hospital-acquired infections and medication errors compared to white patients, yet most health systems lack specific tools to systematically measure and address these safety disparities. Based on a literature review and expert panel conducted between January 2023 and December 2023, the authors identified health system–level measures of equity in patient safety and present a preliminary maturity framework for health systems working toward equity in patient safety. This review found several tools for measuring health disparities and health equity more broadly, but few are specifically designed to evaluate equity in patient safety events and processes. To address this critical gap, the authors leveraged feedback from a panel of eight subject matter experts to develop a preliminary framework designed to support health systems in assessing their maturity levels and integrating equity in patient safety in a stepwise manner. The framework consists of three maturity levels (fundamental, intermediate, advanced) and six domains: (1) data collection and training, (2) data validation, (3) data stratification and analysis, (4) communicating findings, (5) addressing and resolving equity gaps in patient safety, and (6) organizational infrastructure and culture.
需要进行研究,以更好地了解患者安全方面的不公平现象,制定干预措施以共同改善安全性和公平性,并衡量此类干预措施的效力。虽然衡量健康结果、卫生保健可及性和护理质量方面的差异的措施很常见,但患者安全公平的措施仍然不发达。例如,在慢性病或获得预防性保健方面的差异经常有记录,但对药物不良事件或术后并发症的研究较少。少数族裔背景的患者经历了更高的可预防伤害率——与白人患者相比,黑人患者面临着更高的医院获得性感染和用药错误的风险,然而大多数卫生系统缺乏具体的工具来系统地衡量和解决这些安全差异。根据2023年1月至2023年12月期间进行的文献综述和专家小组,作者确定了卫生系统层面的患者安全公平措施,并提出了卫生系统致力于患者安全公平的初步成熟度框架。本综述发现了一些更广泛地衡量健康差异和健康公平的工具,但很少有专门设计用于评估患者安全事件和过程中的公平。为了解决这一重大差距,作者利用由8名主题专家组成的小组的反馈,制定了一个初步框架,旨在支持卫生系统评估其成熟度水平,并逐步将公平纳入患者安全。该框架包括三个成熟度级别(基础、中级、高级)和六个领域:(1)数据收集和培训,(2)数据验证,(3)数据分层和分析,(4)沟通发现,(5)处理和解决患者安全方面的公平差距,以及(6)组织基础设施和文化。
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引用次数: 0
Utilizing Quality Improvement Methodology to Decrease Surgical Delays 利用质量改进方法减少手术延误。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.04.004
Marina E. Robson Chase MD (is a General Surgery Resident at University of Kentucky HealthCare and Lexington Veterans Affairs (VA) Medical Center.), Madeline J. Anderson DO (is a General Surgery Resident at University of Kentucky HealthCare and Lexington VA Medical Center.), Wesley A. Stephens MD (is a General Surgery Resident at University of Kentucky HealthCare and Lexington VA Medical Center.), Brittany E. Levy MD, MPH (is a General Surgery Resident at University of Kentucky HealthCare and Lexington VA Medical Center.), Sherry Lantz RN, MSN (is the Operating Room Nurse Manager at Lexington VA Medical Center.), Jennifer Goforth RN, MBA (is the Operating Room Assistant Nurse Manager at Lexington VA Medical Center.), Melissa R. Newcomb MD, FACS (is an Associate Professor of General Surgery at University of Kentucky HealthCare and Deputy Chief of Surgery at Lexington VA Medical Center.), Andrew M. Harris MD (is an Associate Professor of Urology at University of Kentucky HealthCare and Chief of Surgery at Lexington VA Medical Center. Please address correspondence to Marina E. Robson Chase)

Background

Surgical delays waste time and space and lead to patient safety concerns, staff and patient dissatisfaction, and increased operating room (OR) costs. Preventing delays is crucial to OR safety and efficiency. A quality improvement (QI) initiative was designed to identify common delay causes and implement targeted interventions to reduce overall case delays and first start case delays.

Methods

At a facility with eight full-time ORs, up to 21.5% of cases were delayed per month. Through a preintervention audit, preoperative paperwork issues were determined to be the most common cause of delays. Examination of the current state revealed irregular processes for preoperative paperwork completion and unreliable communication between the provider and preoperative teams. The paperwork completion process and preoperative communication were standardized. Cases were audited for paperwork issues, and rates of delays were analyzed using data collected from the electronic health record and OR scheduling systems.

Results

This project achieved a 39.2% relative reduction in overall delays and a 25.0% relative reduction in first start delays. The proportion of all cases delayed by paperwork was reduced by 60.1%, and the proportion of first start cases delayed due to paperwork was reduced by 49.6%. The rate of paperwork issues in all cases decreased by 43.3%. The project has matured to sustainability with lasting improvement in delay rates despite increasing surgical case volume.

Conclusion

These interventions substantially decreased total and first start delays, as well as delays due to paperwork issues. Understanding current state, designing appropriate interventions, and securing frontline staff buy-in are critical to achieving a QI goal. Through these principles, simple interventions considerably reduced case delays without added cost.
背景:手术延误浪费时间和空间,导致患者安全问题,工作人员和患者的不满,并增加手术室(OR)成本。防止延误对手术室的安全和效率至关重要。设计了一项质量改进(QI)倡议,以确定常见的延误原因并实施有针对性的干预措施,以减少总体病例延误和首次启动病例延误。方法:在一个拥有8名全职手术室的机构,每月高达21.5%的病例延迟。通过干预前审计,术前文书工作问题被确定为延误的最常见原因。对当前状态的检查显示,术前文书工作的完成过程不规范,提供者和术前团队之间的沟通不可靠。规范了文书工作的完成流程和术前沟通。对病例的文书问题进行审计,并使用从电子健康记录和手术室调度系统收集的数据分析延误率。结果:该项目总体延迟相对减少39.2%,首次启动延迟相对减少25.0%。由于文书工作而延误的所有案件的比例降低了60.1%,由于文书工作而延误的首次启动案件的比例降低了49.6%。所有案件的文书问题率下降了43.3%。尽管手术病例数量不断增加,但该项目已成熟到可持续性,延迟率持续改善。结论:这些干预措施大大减少了总延迟和首次开始延迟,以及由于文书问题造成的延迟。了解现状,设计适当的干预措施,并确保一线员工的支持是实现质量保证目标的关键。通过这些原则,简单的干预措施在不增加成本的情况下大大减少了病例延误。
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引用次数: 0
Emergency Department Crowding: A Patient Safety Crisis Hidden in Plain Sight 急诊科拥挤:一场隐藏在众目睽睽之下的病人安全危机。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.04.007
Timothy M. Loftus MD, MBA (Assistant Professor of Emergency Medicine, Northwestern University Department of Emergency Medicine, Chicago), Emily G. Wessling Tofovic MD, MBA (Assistant Professor of Emergency Medicine, Northwestern University Department of Emergency Medicine, Chicago. Please address correspondence to Emily G. Wessling Tofovic)
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引用次数: 0
Using In Situ Simulation to Identify Latent Safety Threats Prior to the Opening of Novel Patient Care Spaces in the Emergency Department 在急诊科启用新型病人护理空间之前,利用现场模拟来识别潜在的安全威胁。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.02.007
Briana D Miller MD (is Assistant Professor, Department of Emergency Medicine, School of Medicine, Oregon Health & Science University.), Andrew D Bloom MD (is Assistant Professor, Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham.), Helena Kons MD (is Resident Physician, Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham.), Marjorie Lee White MD, MA, MPPM (is Professor, Division of Emergency Medicine, Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham. Please addrees correspondence to Briana Miller)

Background

In the era of extreme emergency department (ED) boarding, hospital systems are using novel patient care areas to provide ongoing acute care. In any new patient care environment, there is a high risk for latent safety threats (LSTs), which can negatively affect patient outcomes. A series of in situ systems-based simulations were conducted to identify potential LSTs prior to the opening of a novel mobile care unit (MCU) in a tertiary hospital.

Methods

After a needs assessment in conjunction with institutional leadership, a series of in situ interprofessional simulation sessions were developed to represent realistic scenarios in the MCUs. Simulations included low-frequency high-acuity patient care scenarios as well as high-frequency day-to-day encounters. Data were collected in structured systems-based debriefing sessions via trained observers, video recordings, and participant surveys, with a primary outcome of identifying potential LSTs. The LSTs were categorized and then stratified using the Survey Analysis for Evaluating Risk (SAFER) Matrix. One simulation was repeated after mitigation strategies were employed by institutional leadership.

Results

A total of 117 staff participated in five simulation sessions. In the first round of simulations, 37 LSTs were identified, primarily in the categories of Environment/Wayfinding (13/37, 35.1%) and Communication (6/37, 16.2%). LSTs risk stratified using the SAFER Matrix provided prioritized feedback for hospital leadership to guide mitigation strategies prior to the opening of the new units. One LST was initially classified as high likelihood to harm on the SAFER Matrix. The simulated scenario involving this LST was repeated two weeks later with no further high-risk LSTs identified.

Conclusion

In situ simulations can serve as an effective tool to identify potential LSTs prior to the opening of novel patient care spaces.
背景:在极端急诊科(ED)登机的时代,医院系统正在使用新的患者护理区域来提供持续的急性护理。在任何新的患者护理环境中,潜在安全威胁(LSTs)的风险很高,这可能会对患者的预后产生负面影响。在一家三级医院开设新型流动护理单元(MCU)之前,进行了一系列基于原位系统的模拟,以确定潜在的lst。方法:在与机构领导一起进行需求评估后,开发了一系列现场跨专业模拟会议,以代表mcu中的现实场景。模拟包括低频高急性病人护理场景以及高频日常接触。通过训练有素的观察员、视频记录和参与者调查,在结构化的系统汇报会议中收集数据,主要结果是确定潜在的lst。对lst进行分类,然后使用风险评估调查分析(SAFER)矩阵进行分层。在机构领导采用缓解战略后,重复了一次模拟。结果:共有117名员工参加了5次模拟会议。在第一轮模拟中,确定了37个lst,主要集中在环境/寻路(13/ 37,35.1%)和通信(6/ 37,16.2%)类别。使用SAFER矩阵对lst进行风险分层,为医院领导提供优先反馈,以指导新单位开业前的缓解战略。在SAFER矩阵中,一个LST最初被归类为高危害可能性。两周后,重复了涉及该LST的模拟场景,没有发现进一步的高风险LST。结论:原位模拟可以作为一种有效的工具,在开放新的病人护理空间之前识别潜在的lst。
{"title":"Using In Situ Simulation to Identify Latent Safety Threats Prior to the Opening of Novel Patient Care Spaces in the Emergency Department","authors":"Briana D Miller MD (is Assistant Professor, Department of Emergency Medicine, School of Medicine, Oregon Health & Science University.),&nbsp;Andrew D Bloom MD (is Assistant Professor, Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham.),&nbsp;Helena Kons MD (is Resident Physician, Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham.),&nbsp;Marjorie Lee White MD, MA, MPPM (is Professor, Division of Emergency Medicine, Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham. Please addrees correspondence to Briana Miller)","doi":"10.1016/j.jcjq.2025.02.007","DOIUrl":"10.1016/j.jcjq.2025.02.007","url":null,"abstract":"<div><h3>Background</h3><div>In the era of extreme emergency department (ED) boarding, hospital systems are using novel patient care areas to provide ongoing acute care. In any new patient care environment, there is a high risk for latent safety threats (LSTs), which can negatively affect patient outcomes. A series of in situ systems-based simulations were conducted to identify potential LSTs prior to the opening of a novel mobile care unit (MCU) in a tertiary hospital.</div></div><div><h3>Methods</h3><div>After a needs assessment in conjunction with institutional leadership, a series of in situ interprofessional simulation sessions were developed to represent realistic scenarios in the MCUs. Simulations included low-frequency high-acuity patient care scenarios as well as high-frequency day-to-day encounters. Data were collected in structured systems-based debriefing sessions via trained observers, video recordings, and participant surveys, with a primary outcome of identifying potential LSTs. The LSTs were categorized and then stratified using the <em>Survey Analysis for Evaluating Risk</em> (<em>SAFER</em>) Matrix. One simulation was repeated after mitigation strategies were employed by institutional leadership.</div></div><div><h3>Results</h3><div>A total of 117 staff participated in five simulation sessions. In the first round of simulations, 37 LSTs were identified, primarily in the categories of Environment/Wayfinding (13/37, 35.1%) and Communication (6/37, 16.2%). LSTs risk stratified using the <em>SAFER</em> Matrix provided prioritized feedback for hospital leadership to guide mitigation strategies prior to the opening of the new units. One LST was initially classified as high likelihood to harm on the <em>SAFER</em> Matrix. The simulated scenario involving this LST was repeated two weeks later with no further high-risk LSTs identified.</div></div><div><h3>Conclusion</h3><div>In situ simulations can serve as an effective tool to identify potential LSTs prior to the opening of novel patient care spaces.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"51 7","pages":"Pages 458-465"},"PeriodicalIF":2.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143780124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Navigating the Pathway to Quality Leadership: Perspectives from Contemporary Quality Executives 引导质量领导之路:当代质量管理人员的观点。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.04.001
Christopher S. Kim MD, MBA (is Senior Vice President/Chief Quality Officer, Wellstar Health System, Marietta, Georgia.), Kimiyoshi J. Kobayashi MD, MBA (is Chief Quality Officer, UMass Memorial Medical Center, and Associate Professor, Department of Medicine and Population and Quantitative Health Sciences, UMass Chan Medical School.), David M. Safley MD, FACC (is Vice President of Medical Affairs, Quality, Saint Luke’s Health System, University of Missouri–Kansas City.), Bela Patel MD, FCCP, FCCM, ATSF (is Professor of Medicine and Vice Dean of Healthcare Quality, University of Texas Health Science Center and Memorial Hermann Hospital, Houston.), Jennifer Wiler MD, MBA, FACEP (is Professor, Department of Emergency Medicine, University of Colorado School of Medicine.), Mbonu Ikezuagu MD, MHSA, FACP, CPE (is Chief Quality and Safety Officer ThedaCare, Neenah, Wisconsin.), Jodi L. Eisenberg MHA, CPHQ (is Associate Vice President, Member Networks–Quality Executive Network, Vizient Inc., Wauconda, Illinois.), Amy C. Lu MD, MPH (is Professor, Anesthesia and Perioperative Care, University of California, San Francisco (UCSF) School of Medicine, and Chief Quality Officer and Vice President, UCSF Health. Please address correspondence to Jodi L. Eisenberg)
{"title":"Navigating the Pathway to Quality Leadership: Perspectives from Contemporary Quality Executives","authors":"Christopher S. Kim MD, MBA (is Senior Vice President/Chief Quality Officer, Wellstar Health System, Marietta, Georgia.),&nbsp;Kimiyoshi J. Kobayashi MD, MBA (is Chief Quality Officer, UMass Memorial Medical Center, and Associate Professor, Department of Medicine and Population and Quantitative Health Sciences, UMass Chan Medical School.),&nbsp;David M. Safley MD, FACC (is Vice President of Medical Affairs, Quality, Saint Luke’s Health System, University of Missouri–Kansas City.),&nbsp;Bela Patel MD, FCCP, FCCM, ATSF (is Professor of Medicine and Vice Dean of Healthcare Quality, University of Texas Health Science Center and Memorial Hermann Hospital, Houston.),&nbsp;Jennifer Wiler MD, MBA, FACEP (is Professor, Department of Emergency Medicine, University of Colorado School of Medicine.),&nbsp;Mbonu Ikezuagu MD, MHSA, FACP, CPE (is Chief Quality and Safety Officer ThedaCare, Neenah, Wisconsin.),&nbsp;Jodi L. Eisenberg MHA, CPHQ (is Associate Vice President, Member Networks–Quality Executive Network, Vizient Inc., Wauconda, Illinois.),&nbsp;Amy C. Lu MD, MPH (is Professor, Anesthesia and Perioperative Care, University of California, San Francisco (UCSF) School of Medicine, and Chief Quality Officer and Vice President, UCSF Health. Please address correspondence to Jodi L. Eisenberg)","doi":"10.1016/j.jcjq.2025.04.001","DOIUrl":"10.1016/j.jcjq.2025.04.001","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"51 7","pages":"Pages 507-510"},"PeriodicalIF":2.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mortality and Return Visit Frequency Among Emergency Department Patients Who Leave Without Being Seen at a Regional Health Care System 一个地区医疗保健系统中未就诊就离开的急诊科患者的死亡率和复诊频率。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.02.008
Joshua W. Joseph MD, MS, MBE (is Medical Director, Emergency Management Data Analytics, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, and Associate Professor of Emergency Medicine, Harvard Medical School.), Alice K. Bukhman MD, MPH (is Director of Clinical Operations, Department of Emergency Medicine, Brigham and Women's Faulkner Hospital, Boston, and Instructor in Emergency Medicine, Harvard Medical School.), Da’Marcus E. Baymon MD (is Senior Clinical Director, Department of Emergency Medicine, Brigham and Women's Hospital, and Instructor in Emergency Medicine, Harvard Medical School.), Melisa W. Lai-Becker MD (is Deputy Chief, Department of Emergency Medicine, Massachusetts General Hospital, Boston, and Assistant Professor of Emergency Medicine, Harvard Medical School.), Dana D. Im MD, MPhil, MPP (is Assistant Chief Medical Officer, Department of Emergency Medicine, Brigham and Women's Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.), Lauren M. Nentwich MD (is Vice Chair for Emergency Affairs, Department of Emergency Medicine, Massachusetts General Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.), Paul C. Chen MD, MBA (is Associate Chief Medical Officer and Vice President of Medical Affairs, Department of Emergency Medicine, Brigham and Women's Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.), León D. Sánchez MD, MPH (is Chief of Emergency Medicine, Brigham and Women's Faulkner Hospital, and Professor of Emergency Medicine, Harvard Medical School. Please address correspondence to Joshua W. Joseph)

Background

The rate of emergency department (ED) patients who leave without being seen (LWBS) is a commonly reported quality metric that increased across the United States in concert with COVID-19. However, it is unclear what proportion of patients leave despite an acute medical need. The authors sought to estimate the rates at which patients who leave return, including hospitalization, relative to patients who are evaluated and discharged.

Methods

This was a retrospective cohort study examining adult patients presenting between January 1, 2019, and January 1, 2023, across an integrated system including 10 EDs. Demographic variables were compared using independent chi-square tests. Clinical outcomes, including rates of return visits at 72 hours and 30 days (including inpatient admission or ICU admission), and 30-day mortality were compared using multivariate logistic regression.

Results

A total of 1,474,395 visits were included, of which 17,523 (1.2%) were LWBS. Patients in the LWBS group were younger (48.1 years [95% confidence interval (CI) 48.1–48.2] vs. 44.8 years [95% CI 44.6–45.1], p < 0.001), more likely to be of Hispanic ethnicity (177,895 [17.7%] vs. 3,884 [22.2%], p < 0.001), and more likely to require a translator (131,510 [13.1%] vs. 3,184 [18.2%], p < 0.001). Independent of other clinical and demographic variables, LWBS was associated with more frequent returns within 72 hours (adjusted odds ratio [AOR] 2.56, 95% CI 2.50–2.62, p < 0.001), 30-day ICU admission (AOR 1.35, 95% CI 1.27–1.66, p < 0.001), and mortality within 30 days (AOR 2.59, 95% CI 1.90–3.53, p <0.001).

Conclusion

Patients who left without being seen were more likely to return, to require admission, and to die within 30 days than those discharged. High LWBS rates, most pronounced among disadvantaged groups, should be considered as a source of harm to patients.
背景:急诊科(ED)患者未就诊即离开的比例(LWBS)是一项常见的质量指标,随着 COVID-19 的实施,该指标在全美范围内有所上升。然而,目前还不清楚有多大比例的患者在有紧急医疗需求的情况下离开了急诊室。作者试图估算出与接受评估并出院的患者相比,离开医院的患者返回医院(包括住院)的比例:这是一项回顾性队列研究,研究对象是 2019 年 1 月 1 日至 2023 年 1 月 1 日期间在一个包括 10 家急诊室在内的综合系统中就诊的成年患者。采用独立卡方检验对人口统计学变量进行比较。使用多变量逻辑回归比较了临床结果,包括 72 小时和 30 天内的复诊率(包括住院或入住重症监护室)以及 30 天内的死亡率:共纳入了 1,474,395 次就诊,其中 17,523 次(1.2%)为 LWBS。LWBS 组患者更年轻(48.1 岁 [95% 置信区间 (CI) 48.1-48.2] vs. 44.8 岁 [95% CI 44.6-45.1],P < 0.001),更可能是西班牙裔(177 895 [17.7%] vs. 3 884 [22.2%],P < 0.001),更可能需要翻译(131 510 [13.1%] vs. 3 184 [18.2%],P < 0.001)。与其他临床和人口统计学变量无关,LWBS 与更频繁的 72 小时内返院(调整后赔率 [AOR] 2.56,95% CI 2.50-2.62,p < 0.001)、30 天内入住 ICU(AOR 1.35,95% CI 1.27-1.66,p < 0.001)和 30 天内死亡率(AOR 2.59,95% CI 1.90-3.53,p 结论)相关:与出院患者相比,未就诊即离院的患者更有可能复发、需要入院治疗并在 30 天内死亡。弱势人群的未就诊率较高,应将其视为对患者造成伤害的原因之一。
{"title":"Mortality and Return Visit Frequency Among Emergency Department Patients Who Leave Without Being Seen at a Regional Health Care System","authors":"Joshua W. Joseph MD, MS, MBE (is Medical Director, Emergency Management Data Analytics, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, and Associate Professor of Emergency Medicine, Harvard Medical School.),&nbsp;Alice K. Bukhman MD, MPH (is Director of Clinical Operations, Department of Emergency Medicine, Brigham and Women's Faulkner Hospital, Boston, and Instructor in Emergency Medicine, Harvard Medical School.),&nbsp;Da’Marcus E. Baymon MD (is Senior Clinical Director, Department of Emergency Medicine, Brigham and Women's Hospital, and Instructor in Emergency Medicine, Harvard Medical School.),&nbsp;Melisa W. Lai-Becker MD (is Deputy Chief, Department of Emergency Medicine, Massachusetts General Hospital, Boston, and Assistant Professor of Emergency Medicine, Harvard Medical School.),&nbsp;Dana D. Im MD, MPhil, MPP (is Assistant Chief Medical Officer, Department of Emergency Medicine, Brigham and Women's Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.),&nbsp;Lauren M. Nentwich MD (is Vice Chair for Emergency Affairs, Department of Emergency Medicine, Massachusetts General Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.),&nbsp;Paul C. Chen MD, MBA (is Associate Chief Medical Officer and Vice President of Medical Affairs, Department of Emergency Medicine, Brigham and Women's Hospital, and Assistant Professor of Emergency Medicine, Harvard Medical School.),&nbsp;León D. Sánchez MD, MPH (is Chief of Emergency Medicine, Brigham and Women's Faulkner Hospital, and Professor of Emergency Medicine, Harvard Medical School. Please address correspondence to Joshua W. Joseph)","doi":"10.1016/j.jcjq.2025.02.008","DOIUrl":"10.1016/j.jcjq.2025.02.008","url":null,"abstract":"<div><h3>Background</h3><div>The rate of emergency department (ED) patients who leave without being seen (LWBS) is a commonly reported quality metric that increased across the United States in concert with COVID-19. However, it is unclear what proportion of patients leave despite an acute medical need. The authors sought to estimate the rates at which patients who leave return, including hospitalization, relative to patients who are evaluated and discharged.</div></div><div><h3>Methods</h3><div>This was a retrospective cohort study examining adult patients presenting between January 1, 2019, and January 1, 2023, across an integrated system including 10 EDs. Demographic variables were compared using independent chi-square tests. Clinical outcomes, including rates of return visits at 72 hours and 30 days (including inpatient admission or ICU admission), and 30-day mortality were compared using multivariate logistic regression.</div></div><div><h3>Results</h3><div>A total of 1,474,395 visits were included, of which 17,523 (1.2%) were LWBS. Patients in the LWBS group were younger (48.1 years [95% confidence interval (CI) 48.1–48.2] vs. 44.8 years [95% CI 44.6–45.1], <em>p</em> &lt; 0.001), more likely to be of Hispanic ethnicity (177,895 [17.7%] vs. 3,884 [22.2%], <em>p</em> &lt; 0.001), and more likely to require a translator (131,510 [13.1%] vs. 3,184 [18.2%], <em>p</em> &lt; 0.001). Independent of other clinical and demographic variables, LWBS was associated with more frequent returns within 72 hours (adjusted odds ratio [AOR] 2.56, 95% CI 2.50–2.62, <em>p</em> &lt; 0.001), 30-day ICU admission (AOR 1.35, 95% CI 1.27–1.66, <em>p</em> &lt; 0.001), and mortality within 30 days (AOR 2.59, 95% CI 1.90–3.53, <em>p</em> &lt;0.001).</div></div><div><h3>Conclusion</h3><div>Patients who left without being seen were more likely to return, to require admission, and to die within 30 days than those discharged. High LWBS rates, most pronounced among disadvantaged groups, should be considered as a source of harm to patients.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"51 7","pages":"Pages 466-473"},"PeriodicalIF":2.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143780102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Frequency of Multiple Central Line–Associated Bloodstream Infections (CLABSIs) Occurring in the Same Child: A Five-Year Experience 同一儿童发生多重中心线相关血流感染(CLABSIs)的频率:一项5年的经验。
IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-07-01 DOI: 10.1016/j.jcjq.2025.04.006
Tara P. Sotak RN, BSN, CPN (is Infection Prevention Registered Nurse, University of North Carolina (UNC) Children’s Hospital.), Heidi B. Troxler RN, MSN, CPN (is Children’s Director of Quality, Safety, and Programs, UNC Health.), Amber M. Kirkley RN, BSN, CPN (is Clinical Nurse and Quality Coach, UNC Children’s Hospital.), Benny L. Joyner Jr. MD, MPH (is Professor of Pediatrics and Chief, Pediatric Critical Care Medicine, Department of Pediatrics, UNC School of Medicine, and Pediatric Intensivist, UNC Children’s Hospital.), Michael J. Steiner MD, MPH (is Professor of Pediatrics, UNC School of Medicine, and Pediatrician in Chief, UNC Children’s Hospital.), Lane F. Donnelly MD (is Professor of Radiology and Pediatrics, UNC School of Medicine, and Chief Quality and Safety Officer, UNC Children’s Hospital. Please address correspondence to Lane F. Donnelly)

Background

The aim of this study was to evaluate one institution’s five-year experience with the frequency of multiple central line–associated bloodstream infections (CLABSIs) occurring in the same child and to discuss the importance of previous CLABSI as a risk factor for future CLABSI and the implications for CLABSI rate calculation.

Methods

The infection surveillance system includes data on central line days, CLABSI rate, and CLABSI count, including mucosal barrier injury (MBI) and non-MBI CLABSIs. Using this data, the authors determined the number of children who had more than one inpatient CLABSI during a five-year period. The team then calculated the percentage of total CLABSIs that are represented by patients with more than one CLABSI and the percentage of patients with CLABSI who had multiple CLABSIs.

Results

During the five-year study period, there were 138 CLABSIs in 119 patients. Of the 138 CLABSIs, 36 (26.1%) occurred in children who had more than one CLABSI and 19 (13.8%) of those were repeat. Seventeen patients had more than 1 inpatient CLABSI (15 patients with 2 CLABSIs, and 2 patients with 3 CLABSIs). The CLABSI rate for this period was 1.83 per 1,000 central line days. With exclusion of repeat CLABSIs, the CLABSI rate would be 1.58 per 1,000 central line days, representing a 13.7% difference.

Conclusion

Repeat CLABSI in the same patient is not uncommon and can contribute significantly to overall inpatient CLABSI rates. Prior CLABSI should be considered a risk factor for future CLABSI.
背景:本研究的目的是评估一家机构在同一儿童发生多重中心线相关血流感染(CLABSI)频率方面的五年经验,并讨论既往CLABSI作为未来CLABSI风险因素的重要性,以及对CLABSI发生率计算的影响。方法:感染监测系统包括中心线天数、CLABSI率和CLABSI计数数据,包括粘膜屏障损伤(MBI)和非MBI CLABSI。利用这些数据,作者确定了在5年期间有一次以上CLABSI住院儿童的数量。然后,研究小组计算了由一个以上CLABSI患者代表的CLABSI总数的百分比,以及CLABSI患者有多个CLABSI的百分比。结果:在5年的研究期间,119例患者中有138例clabsi。在138例CLABSI中,36例(26.1%)发生在有一个以上CLABSI的儿童中,其中19例(13.8%)是重复的。17例患者有1例以上的住院CLABSI(15例有2例CLABSI, 2例有3例CLABSI)。这一时期的CLABSI汇率为1.83 / 1000中心线日。排除重复CLABSI后,CLABSI发生率为1.58 / 1000中央线日,差异为13.7%。结论:同一患者重复CLABSI并不罕见,并且可以显著提高住院患者CLABSI的总体发生率。既往CLABSI应被视为未来CLABSI的危险因素。
{"title":"The Frequency of Multiple Central Line–Associated Bloodstream Infections (CLABSIs) Occurring in the Same Child: A Five-Year Experience","authors":"Tara P. Sotak RN, BSN, CPN (is Infection Prevention Registered Nurse, University of North Carolina (UNC) Children’s Hospital.),&nbsp;Heidi B. Troxler RN, MSN, CPN (is Children’s Director of Quality, Safety, and Programs, UNC Health.),&nbsp;Amber M. Kirkley RN, BSN, CPN (is Clinical Nurse and Quality Coach, UNC Children’s Hospital.),&nbsp;Benny L. Joyner Jr. MD, MPH (is Professor of Pediatrics and Chief, Pediatric Critical Care Medicine, Department of Pediatrics, UNC School of Medicine, and Pediatric Intensivist, UNC Children’s Hospital.),&nbsp;Michael J. Steiner MD, MPH (is Professor of Pediatrics, UNC School of Medicine, and Pediatrician in Chief, UNC Children’s Hospital.),&nbsp;Lane F. Donnelly MD (is Professor of Radiology and Pediatrics, UNC School of Medicine, and Chief Quality and Safety Officer, UNC Children’s Hospital. Please address correspondence to Lane F. Donnelly)","doi":"10.1016/j.jcjq.2025.04.006","DOIUrl":"10.1016/j.jcjq.2025.04.006","url":null,"abstract":"<div><h3>Background</h3><div>The aim of this study was to evaluate one institution’s five-year experience with the frequency of multiple central line–associated bloodstream infections (CLABSIs) occurring in the same child and to discuss the importance of previous CLABSI as a risk factor for future CLABSI and the implications for CLABSI rate calculation.</div></div><div><h3>Methods</h3><div>The infection surveillance system includes data on central line days, CLABSI rate, and CLABSI count, including mucosal barrier injury (MBI) and non-MBI CLABSIs. Using this data, the authors determined the number of children who had more than one inpatient CLABSI during a five-year period. The team then calculated the percentage of total CLABSIs that are represented by patients with more than one CLABSI and the percentage of patients with CLABSI who had multiple CLABSIs.</div></div><div><h3>Results</h3><div>During the five-year study period, there were 138 CLABSIs in 119 patients. Of the 138 CLABSIs, 36 (26.1%) occurred in children who had more than one CLABSI and 19 (13.8%) of those were repeat. Seventeen patients had more than 1 inpatient CLABSI (15 patients with 2 CLABSIs, and 2 patients with 3 CLABSIs). The CLABSI rate for this period was 1.83 per 1,000 central line days. With exclusion of repeat CLABSIs, the CLABSI rate would be 1.58 per 1,000 central line days, representing a 13.7% difference.</div></div><div><h3>Conclusion</h3><div>Repeat CLABSI in the same patient is not uncommon and can contribute significantly to overall inpatient CLABSI rates. Prior CLABSI should be considered a risk factor for future CLABSI.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"51 7","pages":"Pages 493-497"},"PeriodicalIF":2.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Joint Commission journal on quality and patient safety
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