Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.10.009
Katherine Hoops MD, MPH (is Attending Physician, Pediatric ICU, Johns Hopkins Hospital, and Assistant Professor, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine, Baltimore.), Ellen Pittman MD (is Pediatric Critical Care Medicine Fellow, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine.), David C. Stockwell MD, MBA (is Chief Medical Officer, Johns Hopkins Children's Center, and Associate Professor, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine. Please address correspondence to Katherine Hoops)
Voluntary event reporting (VER) systems underestimate the incidence of safety events and often capture only serious events. A limited amount of data is collected through these systems, and they may be inadequate to characterize disparities in reported safety events. We conducted a scoping review of the literature to summarize the state of the evidence as it relates to differences in safety events and safety event reporting by age, gender, and race. Using a broad-based query, a systematic search for published, peer-reviewed literature that discusses patient safety event reporting and differences by age, gender, race, and socioeconomic status was conducted. Based on modified Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 283 studies underwent title and abstract review, yielding 56 studies for full text review. After full text review, 23 studies were carefully reviewed individually, grouped thematically, and summarized to highlight the most pertinent findings. The studies reviewed yielded important insights, particularly with regard to race, gender, and the ways events are identified. Patients from minoritized groups may be less likely to have events reported and more likely to suffer serious events. Some studies found differences in rates of reporting safety events for female vs. male providers. The rate of VER is consistently lower than the rate of events identified through identified using automated detection. The current literature describing VER data shows disparities by race, language, age, and gender for patients and providers. Further research and systematic change are needed to specifically study these disparities to guide health care institutions on ways to mitigate bias and deliver more equitable care.
自愿事件报告(VER)系统低估了安全事件的发生率,通常只记录严重事件。这些系统收集的数据量有限,可能不足以描述安全事件报告中的差异。我们对文献进行了范围界定,总结了与安全事件和安全事件报告中年龄、性别和种族差异相关的证据状况。通过广泛查询,我们对已发表的、经同行评审的、讨论患者安全事件报告以及不同年龄、性别、种族和社会经济地位的差异的文献进行了系统性检索。根据修改后的《系统综述和元分析首选报告项目》(PRISMA)指南,对 283 项研究进行了标题和摘要审阅,最后得出 56 项研究供全文审阅。全文审阅后,对 23 项研究进行了仔细的单独审阅、专题分组和总结,以突出最相关的研究结果。所审查的研究得出了重要的见解,尤其是在种族、性别和事件识别方式方面。来自少数群体的患者报告事件的可能性较低,而发生严重事件的可能性较高。一些研究发现,女性与男性医疗服务提供者的安全事件报告率存在差异。VER 的比率一直低于通过自动检测识别的事件比率。目前描述 VER 数据的文献显示,患者和医疗服务提供者在种族、语言、年龄和性别方面存在差异。我们需要进一步的研究和系统性变革来专门研究这些差异,以指导医疗机构如何减少偏见并提供更公平的医疗服务。
{"title":"Disparities in Patient Safety Voluntary Event Reporting: A Scoping Review","authors":"Katherine Hoops MD, MPH (is Attending Physician, Pediatric ICU, Johns Hopkins Hospital, and Assistant Professor, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine, Baltimore.), Ellen Pittman MD (is Pediatric Critical Care Medicine Fellow, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine.), David C. Stockwell MD, MBA (is Chief Medical Officer, Johns Hopkins Children's Center, and Associate Professor, Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine. Please address correspondence to Katherine Hoops)","doi":"10.1016/j.jcjq.2023.10.009","DOIUrl":"10.1016/j.jcjq.2023.10.009","url":null,"abstract":"<div><p>Voluntary event reporting (VER) systems underestimate the incidence of safety events and often capture only serious events. A limited amount of data is collected through these systems, and they may be inadequate to characterize disparities in reported safety events. We conducted a scoping review of the literature to summarize the state of the evidence as it relates to differences in safety events and safety event reporting by age, gender, and race. Using a broad-based query, a systematic search for published, peer-reviewed literature that discusses patient safety event reporting and differences by age, gender, race, and socioeconomic status was conducted. Based on modified Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 283 studies underwent title and abstract review, yielding 56 studies for full text review. After full text review, 23 studies were carefully reviewed individually, grouped thematically, and summarized to highlight the most pertinent findings. The studies reviewed yielded important insights, particularly with regard to race, gender, and the ways events are identified. Patients from minoritized groups may be less likely to have events reported and more likely to suffer serious events. Some studies found differences in rates of reporting safety events for female vs. male providers. The rate of VER is consistently lower than the rate of events identified through identified using automated detection. The current literature describing VER data shows disparities by race, language, age, and gender for patients and providers. Further research and systematic change are needed to specifically study these disparities to guide health care institutions on ways to mitigate bias and deliver more equitable care.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S155372502300260X/pdfft?md5=f0e17c95a7de5addbfa9f41aeeb6f244&pid=1-s2.0-S155372502300260X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136127908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.10.011
Rachel Moyal-Smith DrPH, MS, PA-C (is Senior Clinical Implementation Specialist, Ariadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston.), Daniel J. Barnett MD, MPH (is Professor, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore.), Eric S. Toner MD (is Senior Scientist, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health.), Jill A. Marsteller PhD, MPP (is Professor, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health.), Christina T. Yuan PhD, MPH (is Associate Scientist, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health. Please address correspondence to Rachel Moyal-Smith)
Background
Disasters exacerbate health inequities, with historically marginalized populations experiencing unjust differences in health care access and outcomes. Health systems plan and respond to disasters using the Hospital Incident Command System (HICS), an organizational structure that centralizes communication and decision-making. The HICS does not have an equity role or considerations built into its standard structure. The authors conducted a narrative review to identify and summarize approaches to embedding equity into the HICS.
Methods
The peer-reviewed (PubMed, SCOPUS) and gray literature was searched for articles from high-income countries that referenced the HICS or Incident Command System (ICS) and equity, disparities, or populations that experience inequities in disasters. The primary focus of the search strategy was health care, but the research also included governmental and public health system articles. Two authors used inductive thematic analysis to assess commonalities and refined the themes based on feedback from all authors.
Results
The database search identified 479 unique abstracts; 76 articles underwent full-text review, and 11 were included in the final analysis. The authors found 5 articles through cited reference searching and 13 from the gray literature search, which included websites, organizations, and non-indexed journal articles. Three themes from the articles were identified: including equity specialists in the HICS, modifying systems to promote equity, and sensitivity to the local community.
Conclusion
Several efforts to embed equity into the HICS and disaster preparedness and response were discovered. This review provides practical strategies health system leaders can include in their HICS and emergency preparedness plans to promote equity in their disaster response.
{"title":"Embedding Equity into the Hospital Incident Command System: A Narrative Review","authors":"Rachel Moyal-Smith DrPH, MS, PA-C (is Senior Clinical Implementation Specialist, Ariadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston.), Daniel J. Barnett MD, MPH (is Professor, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore.), Eric S. Toner MD (is Senior Scientist, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health.), Jill A. Marsteller PhD, MPP (is Professor, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health.), Christina T. Yuan PhD, MPH (is Associate Scientist, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health. Please address correspondence to Rachel Moyal-Smith)","doi":"10.1016/j.jcjq.2023.10.011","DOIUrl":"10.1016/j.jcjq.2023.10.011","url":null,"abstract":"<div><h3>Background</h3><p>Disasters exacerbate health inequities, with historically marginalized populations experiencing unjust differences in health care access and outcomes. Health systems plan and respond to disasters using the Hospital Incident Command System (HICS), an organizational structure that centralizes communication and decision-making. The HICS does not have an equity role or considerations built into its standard structure. The authors conducted a narrative review to identify and summarize approaches to embedding equity into the HICS.</p></div><div><h3>Methods</h3><p>The peer-reviewed (PubMed, SCOPUS) and gray literature was searched for articles from high-income countries that referenced the HICS or Incident Command System (ICS) and equity, disparities, or populations that experience inequities in disasters. The primary focus of the search strategy was health care, but the research also included governmental and public health system articles. Two authors used inductive thematic analysis to assess commonalities and refined the themes based on feedback from all authors.</p></div><div><h3>Results</h3><p>The database search identified 479 unique abstracts; 76 articles underwent full-text review, and 11 were included in the final analysis. The authors found 5 articles through cited reference searching and 13 from the gray literature search, which included websites, organizations, and non-indexed journal articles. Three themes from the articles were identified: including equity specialists in the HICS, modifying systems to promote equity, and sensitivity to the local community.</p></div><div><h3>Conclusion</h3><p>Several efforts to embed equity into the HICS and disaster preparedness and response were discovered. This review provides practical strategies health system leaders can include in their HICS and emergency preparedness plans to promote equity in their disaster response.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002611/pdfft?md5=08950d6918fa8ecc483b3012626d457d&pid=1-s2.0-S1553725023002611-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136128094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.11.001
Nelly Angah MHA, MPH, PMP (is Population Health Consultant, Department of Population Health and Clinical Integration, Yale New Haven Health (YNHH).), Bridget Meedzan MPH (is Population Health Analyst, Department of Population Health and Clinical Integration, YNHH.), Natacha Pruzinsky MSHI (is Population Health Specialist, Department of Population Health and Clinical Integration, YNHH.), Andrew O'Connell MPH (is Manager, Population Health Programs, Department of Population Health and Clinical Integration, YNHH.), Louis Hart MD (is Assistant Professor of Pediatrics (Hospital Medicine), Yale School of Medicine, and Medical Director, Office of Health Equity and Community Impact, YNHH.), Darcey Cobbs-Lomax MBA, MPH (is Executive Director, Office of Health Equity and Community Impact, YNHH.), Polly Vanderwoude MHSA, FACHE (is Executive Director, Department of Population Health and Clinical Integration, YNHH. Please address correspondence to Nelly Angah)
Background
The collection of health-related social needs (HRSN) data at one large health system has historically been inconsistent. This project was aimed to increase annual HRSN screening rates by standardizing data collection in the electronic health record (EHR) through optimized clinical workflows.
Methods
The authors designed a standard screening questionnaire in alignment with the Accountable Health Communities model, and they conducted interviews with eleven US-based health systems and one medical center on best practices for ambulatory HRSN screening and interventions, which identified five possible methods to administer the questionnaire. After testing, the authors opted to send questionnaires to patients through the patient portal three days prior to an ambulatory visit. For inpatients, in-person interviews were implemented. Staff implementing the updated processes included registered nurses, social workers, preventive health coordinators, and community health workers.
Results
The annual screening rate for all active ambulatory patients increased from 0.4% to 15.9% (p < 0.001), and 10.7% of all patients had at least one health-related social need. The annual screening rate for inpatients was estimated to be zero at baseline and increased by 66 percentage points (p < 0.001). The most prevalent health-related social need in both settings was financial resource strain, followed closely by food insecurity.
Conclusion
Well-designed interventions and technology support were effective in achieving improved screening and data collection. Leadership support, building interventions within preexisting workflows, and ensuring standard data capture in the EHR were key factors leading to successful process improvement.
{"title":"Leveraging Technology and Workflow Optimization for Health-Related Social Needs Screening: An Improvement Project at a Large Health System","authors":"Nelly Angah MHA, MPH, PMP (is Population Health Consultant, Department of Population Health and Clinical Integration, Yale New Haven Health (YNHH).), Bridget Meedzan MPH (is Population Health Analyst, Department of Population Health and Clinical Integration, YNHH.), Natacha Pruzinsky MSHI (is Population Health Specialist, Department of Population Health and Clinical Integration, YNHH.), Andrew O'Connell MPH (is Manager, Population Health Programs, Department of Population Health and Clinical Integration, YNHH.), Louis Hart MD (is Assistant Professor of Pediatrics (Hospital Medicine), Yale School of Medicine, and Medical Director, Office of Health Equity and Community Impact, YNHH.), Darcey Cobbs-Lomax MBA, MPH (is Executive Director, Office of Health Equity and Community Impact, YNHH.), Polly Vanderwoude MHSA, FACHE (is Executive Director, Department of Population Health and Clinical Integration, YNHH. Please address correspondence to Nelly Angah)","doi":"10.1016/j.jcjq.2023.11.001","DOIUrl":"10.1016/j.jcjq.2023.11.001","url":null,"abstract":"<div><h3>Background</h3><p>The collection of health-related social needs (HRSN) data at one large health system has historically been inconsistent. This project was aimed to increase annual HRSN screening rates by standardizing data collection in the electronic health record (EHR) through optimized clinical workflows.</p></div><div><h3>Methods</h3><p>The authors designed a standard screening questionnaire in alignment with the Accountable Health Communities model, and they conducted interviews with eleven US-based health systems and one medical center on best practices for ambulatory HRSN screening and interventions, which identified five possible methods to administer the questionnaire. After testing, the authors opted to send questionnaires to patients through the patient portal three days prior to an ambulatory visit. For inpatients, in-person interviews were implemented. Staff implementing the updated processes included registered nurses, social workers, preventive health coordinators, and community health workers.</p></div><div><h3>Results</h3><p>The annual screening rate for all active ambulatory patients increased from 0.4% to 15.9% (<em>p</em> < 0.001), and 10.7% of all patients had at least one health-related social need. The annual screening rate for inpatients was estimated to be zero at baseline and increased by 66 percentage points (<em>p</em> < 0.001). The most prevalent health-related social need in both settings was financial resource strain, followed closely by food insecurity.</p></div><div><h3>Conclusion</h3><p>Well-designed interventions and technology support were effective in achieving improved screening and data collection. Leadership support, building interventions within preexisting workflows, and ensuring standard data capture in the EHR were key factors leading to successful process improvement.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002702/pdfft?md5=0f69bdbdc0bfa4cc34604b4db25fa3a6&pid=1-s2.0-S1553725023002702-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135515025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.06.007
Myrtede C. Alfred PhD (is Assistant Professor, Department of Mechanical and Industrial Engineering, University of Toronto.), Dulaney Wilson PhD (is Research Assistant Professor, Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina.), Elise DeForest (is Medical Student, College of Medicine, Medical University of South Carolina.), Sam Lawton (is Graduate Student, College of Public Health, Emory University.), Amartha Gore MD (is Obstetrician/Gynecologist, and Locum Tenens OBGYN, Children's Mercy Hospitals, Junction City, Kansas.), Jeffrey T. Howard PhD (is Associate Professor of Public Health, University of Texas at San Antonio.), Christine Morton PhD (is Research Sociologist, Stanford University.), Latha Hebbar MD (is Professor, Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina.), Chris Goodier MD (is Associate Professor, Department of Obstetrics and Gynecology, Medical University of South Carolina. Please address correspondence to Myrtede C. Alfred)
Background
Maternal mortality in the United States is high, and women and birthing people of color experience higher rates of mortality and severe maternal morbidity (SMM). More than half of maternal deaths and cases of SMM are considered preventable. The research presented here investigated systems issues contributing to adverse outcomes and racial/ethnic disparities in maternal care using patient safety incident reports.
Methods
The authors reviewed incidents reported in the labor and delivery unit (L&D) and the antepartum and postpartum unit (A&P) of a large academic hospital in 2019 and 2020. Deliveries associated with a reported incident were described by race/ethnicity, age group, method of delivery, and several other process variables. Differences across racial/ethnic group were statistically evaluated.
Results
Almost two thirds (64.8%) of the 528 reports analyzed were reported in L&D, and 35.2% were reported in A&P. Non-Hispanic white (NHW) patients accounted for 43.9% of reported incidents, non-Hispanic Black (NHB) patients accounted for 43.2%, Hispanic patients accounted for 8.9%, and patients categorized as “other” accounted for 4.0%. NHB patients were disproportionally represented in the incident reports, as they accounted for only 36.5% of the underlying birthing population. The odds ratio (OR) demonstrated a higher risk of a reported adverse incident for NHB patients; however, adjustment for cesarean section attenuated the association (OR 1.25, 95% confidence interval 1.01–1.54).
Conclusion
Greater integration of patient safety and health equity efforts in hospitals are needed to promptly identify and alleviate racial and ethnic disparities in maternal health outcomes. Although additional systems analysis is necessary, the authors offer recommendations to support safer, more equitable maternal care.
{"title":"Investigating Racial and Ethnic Disparities in Maternal Care at the System Level Using Patient Safety Incident Reports","authors":"Myrtede C. Alfred PhD (is Assistant Professor, Department of Mechanical and Industrial Engineering, University of Toronto.), Dulaney Wilson PhD (is Research Assistant Professor, Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina.), Elise DeForest (is Medical Student, College of Medicine, Medical University of South Carolina.), Sam Lawton (is Graduate Student, College of Public Health, Emory University.), Amartha Gore MD (is Obstetrician/Gynecologist, and Locum Tenens OBGYN, Children's Mercy Hospitals, Junction City, Kansas.), Jeffrey T. Howard PhD (is Associate Professor of Public Health, University of Texas at San Antonio.), Christine Morton PhD (is Research Sociologist, Stanford University.), Latha Hebbar MD (is Professor, Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina.), Chris Goodier MD (is Associate Professor, Department of Obstetrics and Gynecology, Medical University of South Carolina. Please address correspondence to Myrtede C. Alfred)","doi":"10.1016/j.jcjq.2023.06.007","DOIUrl":"10.1016/j.jcjq.2023.06.007","url":null,"abstract":"<div><h3>Background</h3><p>Maternal mortality in the United States is high, and women and birthing people of color experience higher rates of mortality and severe maternal morbidity (SMM). More than half of maternal deaths and cases of SMM are considered preventable. The research presented here investigated systems issues contributing to adverse outcomes and racial/ethnic disparities in maternal care using patient safety incident reports.</p></div><div><h3>Methods</h3><p>The authors reviewed incidents reported in the labor and delivery unit (L&D) and the antepartum and postpartum unit (A&P) of a large academic hospital in 2019 and 2020. Deliveries associated with a reported incident were described by race/ethnicity, age group, method of delivery, and several other process variables. Differences across racial/ethnic group were statistically evaluated.</p></div><div><h3>Results</h3><p>Almost two thirds (64.8%) of the 528 reports analyzed were reported in L&D, and 35.2% were reported in A&P. Non-Hispanic white (NHW) patients accounted for 43.9% of reported incidents, non-Hispanic Black (NHB) patients accounted for 43.2%, Hispanic patients accounted for 8.9%, and patients categorized as “other” accounted for 4.0%. NHB patients were disproportionally represented in the incident reports, as they accounted for only 36.5% of the underlying birthing population. The odds ratio (OR) demonstrated a higher risk of a reported adverse incident for NHB patients; however, adjustment for cesarean section attenuated the association (OR 1.25, 95% confidence interval 1.01–1.54).</p></div><div><h3>Conclusion</h3><p>Greater integration of patient safety and health equity efforts in hospitals are needed to promptly identify and alleviate racial and ethnic disparities in maternal health outcomes. Although additional systems analysis is necessary, the authors offer recommendations to support safer, more equitable maternal care.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023001319/pdfft?md5=ef713d6636afaa077dfaa6d6225f96df&pid=1-s2.0-S1553725023001319-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10210915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.09.003
Tejal K. Gandhi MD, MPH, CPPS (is Chief Safety and Transformation Officer, Press Ganey Associates LLC, Boston.), Lucy B. Schulson MD, MPH (is Associate Physician Policy Researcher, RAND Corporation, Boston, and Assistant Professor of Medicine, Chobanian & Avedisian School of Medicine, Boston University.), Angela D. Thomas DrPH, MPH, MBA (is Vice President, Healthcare Delivery Research, MedStar Health Research Institute, Hyattsville, Maryland, and Adjunct Assistant Professor, Health Systems Administration, Georgetown University. Please address correspondence to Tejal K. Gandhi)
{"title":"Bringing the Equity Lens to Patient Safety Event Reporting","authors":"Tejal K. Gandhi MD, MPH, CPPS (is Chief Safety and Transformation Officer, Press Ganey Associates LLC, Boston.), Lucy B. Schulson MD, MPH (is Associate Physician Policy Researcher, RAND Corporation, Boston, and Assistant Professor of Medicine, Chobanian & Avedisian School of Medicine, Boston University.), Angela D. Thomas DrPH, MPH, MBA (is Vice President, Healthcare Delivery Research, MedStar Health Research Institute, Hyattsville, Maryland, and Adjunct Assistant Professor, Health Systems Administration, Georgetown University. Please address correspondence to Tejal K. Gandhi)","doi":"10.1016/j.jcjq.2023.09.003","DOIUrl":"10.1016/j.jcjq.2023.09.003","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002118/pdfft?md5=8c4cbafb9088d46ae0dbb977be45a611&pid=1-s2.0-S1553725023002118-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41201537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.11.003
Fran A. Ganz-Lord MD, FACP (is Senior Director, Performance Improvement, Network Performance Group, Montefiore Medical Center, Bronx, New York, and Associate Professor, Division of General Internal Medicine, Albert Einstein College of Medicine.), Paul Beechner MS (is Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), Mark Wnorowksi MS (is Senior Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), Dennis Asante MS (is Performance Improvement Specialist, Network Performance Group, Montefiore Medical Center.), Kenay Johnson MA, CPHQ (is Senior Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), John Bianco MPH (is Performance Improvement and Data Specialist, Network Performance Group, Montefiore Medical Center.), Susan Gazivoda (is Project Associate, Network Performance Group, Montefiore Medical Center.), Stefanie K. Forest MD, PhD (is Clinical Performance Improvement Specialist and Laboratory Director, Network Performance Group, Montefiore Medical Center, and Assistant Professor, Department of Pathology, Albert Einstein College of Medicine. Please address correspondence to Fran A. Ganz-Lord)
Performance improvement methodologies do not currently include any structures that encourage analysis of how bias, inequity, or social determinants of health (SDOH) contribute to outcomes. The Montefiore Center for Performance Improvement developed a novel quality improvement (QI) toolkit that ingrains issues of diversity, equity, and inclusion (DEI) and SDOH into the Institute for Healthcare Improvement's tools. The toolkit prompts QI teams to evaluate DEI and SDOH at each step of the journey, including an updated charter and stratified baseline tool, a new fishbone diagram for the discovery phase with a tail to include DEI and SDOH, and additions in the Study and Act sessions of the Plan-Do-Study-Act worksheet to address these issues. After development and dissemination of this toolkit, the authors conducted a pre-post analysis of projects conducted by QI fellows in their institution. Prior to introducing the new toolkit, 22.9% of projects from 2016 to 2021 incorporated DEI/SDOH into any stage of the QI process. After implementing the amended tools, this increased to 88.9% in the 2022 fellowship. These results show that this simple approach can hardwire consideration of DEI and SDOH into improvement projects.
{"title":"Equity and Performance Improvement: A Novel Toolkit That Makes Using an Equity Lens the Default","authors":"Fran A. Ganz-Lord MD, FACP (is Senior Director, Performance Improvement, Network Performance Group, Montefiore Medical Center, Bronx, New York, and Associate Professor, Division of General Internal Medicine, Albert Einstein College of Medicine.), Paul Beechner MS (is Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), Mark Wnorowksi MS (is Senior Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), Dennis Asante MS (is Performance Improvement Specialist, Network Performance Group, Montefiore Medical Center.), Kenay Johnson MA, CPHQ (is Senior Manager, Performance Improvement, Network Performance Group, Montefiore Medical Center.), John Bianco MPH (is Performance Improvement and Data Specialist, Network Performance Group, Montefiore Medical Center.), Susan Gazivoda (is Project Associate, Network Performance Group, Montefiore Medical Center.), Stefanie K. Forest MD, PhD (is Clinical Performance Improvement Specialist and Laboratory Director, Network Performance Group, Montefiore Medical Center, and Assistant Professor, Department of Pathology, Albert Einstein College of Medicine. Please address correspondence to Fran A. Ganz-Lord)","doi":"10.1016/j.jcjq.2023.11.003","DOIUrl":"10.1016/j.jcjq.2023.11.003","url":null,"abstract":"<div><p>Performance improvement methodologies do not currently include any structures that encourage analysis of how bias, inequity, or social determinants of health (SDOH) contribute to outcomes. The Montefiore Center for Performance Improvement developed a novel quality improvement (QI) toolkit that ingrains issues of diversity, equity, and inclusion (DEI) and SDOH into the Institute for Healthcare Improvement's tools. The toolkit prompts QI teams to evaluate DEI and SDOH at each step of the journey, including an updated charter and stratified baseline tool, a new fishbone diagram for the discovery phase with a tail to include DEI and SDOH, and additions in the Study and Act sessions of the Plan-Do-Study-Act worksheet to address these issues. After development and dissemination of this toolkit, the authors conducted a pre-post analysis of projects conducted by QI fellows in their institution. Prior to introducing the new toolkit, 22.9% of projects from 2016 to 2021 incorporated DEI/SDOH into any stage of the QI process. After implementing the amended tools, this increased to 88.9% in the 2022 fellowship. These results show that this simple approach can hardwire consideration of DEI and SDOH into improvement projects.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002714/pdfft?md5=75b99e4aa56655cc315750db6206b085&pid=1-s2.0-S1553725023002714-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135516040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.08.001
C. Jason Wang MD, PhD (is Professor of Pediatrics and Health Policy, Stanford University School of Medicine, and Director, Center for Policy, Outcomes and Prevention, Stanford Medicine.), Eugene M. Lewit PhD (is Adjunct Lecturer, Department of Health Policy, Stanford University School of Medicine.), Catherine L. Clark PhD (formerly Clinical Research Manager and Data Analyst, Project ECHO Diabetes, Stanford Medicine, is Clinical Research Associate, Abbott, Santa Clara, California.), Fu-Shiuan Whitney Lee MD, MPH (formerly Research Assistant, Stanford University School of Medicine, is Resident Physician, Stanford Children's Health / Lucile Packard Children's Hospital Stanford.), David M. Maahs MD, PhD (is Professor and Division Chief, Pediatric Endocrinology, Stanford University School of Medicine, and Principal Investigator, Project ECHO Diabetes, Stanford Medicine.), Michael James Haller MD (is Professor and Chief, Pediatric Endocrinology, Department of Pediatrics, University of Florida College of Medicine.), Ananta Addala DO (is Assistant Professor of Pediatrics (Endocrinology), and Co-Clinic Director, Project ECHO Diabetes.), Rayhan A. Lal MD (is Assistant Professor of Medicine and of Pediatrics (Endocrinology), Stanford University School of Medicine, and Co-Clinic Director, Project ECHO Diabetes.), Nicolas Cuttriss MD, MPH (is Founding Director and CEO, ECHO Diabetes Action Netowrk.), Linda G. Baer MSPH, CHCP (is Co-Founder and COO, ECHO Diabetes Action Network.), Lauren E. Figg LMSW (is Clinic Coordinator, Project ECHO Diabetes. Claudia Añez-Zabala is _____________, Department of Pediatrics, University of Florida College of Medicine.), Claudia Añez-Zabala, Eleni P. Sheehan APRN (is Advanced Registered Nurse Practitioner, Department of Pediatrics, University of Florida College of Medicine.), Sarah C. Westen PhD (is Clinical Assistant Professor, Department of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions.), Angelina V. Bernier MD (is Associate Professor and Fellowship Director, Department of Pediatrics, University of Florida College of Medicine.), William Troy Donahoo MD, FTOS (is Chief and Clinical Professor, Division of Endocrinology, Diabetes & Metabolism, University of Florida College of Medicine.), Ashby Farmer Walker PhD (is Research Assistant Professor, Health Outcomes and Policy, University of Florida College of Public Health and Health Professions. Please address correspondence to C. Jason Wang)
Background
The telementoring Project ECHO (Extension for Community Healthcare Outcomes) model has been shown to improve disease management in diabetes in many underserved communities. The authors aim to evaluate if ECHO could also be an effective tool for quality improvement (QI) of diabetes care in these communities.
Methods
Thirteen clinics in underserved communities in California and Florida participating in Project ECHO Diabetes were recruited for a 12-month QI program. The program provided weekly tele-education sessions, including a didactic presentation and case-based discussion. In addition, clinics chose their own set of quality measures to improve and met remotely to discuss their efforts, successes, and setbacks every quarter with mentorship from QI experts.
Results
Of the 31 QI initiatives attempted by different clinics, all had either made improvements (25 initiatives, 80.6%) or were in the process of making improvements (6 initiatives, 19.4%) in structural, process, and outcome measures. Examples of these measures include whether clinics have protocols to identify high-risk patients (structure), numbers of continuous glucose monitor prescriptions submitted by the clinics (process), and percentage of patients with diabetes whose most recent HbA1c are > 9% (outcome). For one measure, 40.0% of the clinics had achieved a higher percentage of cumulative HbA1c measurement in the third quarter of the year, compared to the fourth quarter in the previous year. The cost of QI implementation varied widely due to different number of personnel involved across sites.
Conclusion
A QI program delivered via Project ECHO Diabetes can facilitate quality improvements in underserved communities.
{"title":"Multisite Quality Improvement Program Within the Project ECHO Diabetes Remote Network","authors":"C. Jason Wang MD, PhD (is Professor of Pediatrics and Health Policy, Stanford University School of Medicine, and Director, Center for Policy, Outcomes and Prevention, Stanford Medicine.), Eugene M. Lewit PhD (is Adjunct Lecturer, Department of Health Policy, Stanford University School of Medicine.), Catherine L. Clark PhD (formerly Clinical Research Manager and Data Analyst, Project ECHO Diabetes, Stanford Medicine, is Clinical Research Associate, Abbott, Santa Clara, California.), Fu-Shiuan Whitney Lee MD, MPH (formerly Research Assistant, Stanford University School of Medicine, is Resident Physician, Stanford Children's Health / Lucile Packard Children's Hospital Stanford.), David M. Maahs MD, PhD (is Professor and Division Chief, Pediatric Endocrinology, Stanford University School of Medicine, and Principal Investigator, Project ECHO Diabetes, Stanford Medicine.), Michael James Haller MD (is Professor and Chief, Pediatric Endocrinology, Department of Pediatrics, University of Florida College of Medicine.), Ananta Addala DO (is Assistant Professor of Pediatrics (Endocrinology), and Co-Clinic Director, Project ECHO Diabetes.), Rayhan A. Lal MD (is Assistant Professor of Medicine and of Pediatrics (Endocrinology), Stanford University School of Medicine, and Co-Clinic Director, Project ECHO Diabetes.), Nicolas Cuttriss MD, MPH (is Founding Director and CEO, ECHO Diabetes Action Netowrk.), Linda G. Baer MSPH, CHCP (is Co-Founder and COO, ECHO Diabetes Action Network.), Lauren E. Figg LMSW (is Clinic Coordinator, Project ECHO Diabetes. Claudia Añez-Zabala is _____________, Department of Pediatrics, University of Florida College of Medicine.), Claudia Añez-Zabala, Eleni P. Sheehan APRN (is Advanced Registered Nurse Practitioner, Department of Pediatrics, University of Florida College of Medicine.), Sarah C. Westen PhD (is Clinical Assistant Professor, Department of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions.), Angelina V. Bernier MD (is Associate Professor and Fellowship Director, Department of Pediatrics, University of Florida College of Medicine.), William Troy Donahoo MD, FTOS (is Chief and Clinical Professor, Division of Endocrinology, Diabetes & Metabolism, University of Florida College of Medicine.), Ashby Farmer Walker PhD (is Research Assistant Professor, Health Outcomes and Policy, University of Florida College of Public Health and Health Professions. Please address correspondence to C. Jason Wang)","doi":"10.1016/j.jcjq.2023.08.001","DOIUrl":"10.1016/j.jcjq.2023.08.001","url":null,"abstract":"<div><h3>Background</h3><p>The telementoring Project ECHO (Extension for Community Healthcare Outcomes) model has been shown to improve disease management in diabetes in many underserved communities. The authors aim to evaluate if ECHO could also be an effective tool for quality improvement (QI) of diabetes care in these communities.</p></div><div><h3>Methods</h3><p>Thirteen clinics in underserved communities in California and Florida participating in Project ECHO Diabetes were recruited for a 12-month QI program. The program provided weekly tele-education sessions, including a didactic presentation and case-based discussion. In addition, clinics chose their own set of quality measures to improve and met remotely to discuss their efforts, successes, and setbacks every quarter with mentorship from QI experts.</p></div><div><h3>Results</h3><p>Of the 31 QI initiatives attempted by different clinics, all had either made improvements (25 initiatives, 80.6%) or were in the process of making improvements (6 initiatives, 19.4%) in structural, process, and outcome measures. Examples of these measures include whether clinics have protocols to identify high-risk patients (structure), numbers of continuous glucose monitor prescriptions submitted by the clinics (process), and percentage of patients with diabetes whose most recent HbA1c are > 9% (outcome). For one measure, 40.0% of the clinics had achieved a higher percentage of cumulative HbA1c measurement in the third quarter of the year, compared to the fourth quarter in the previous year. The cost of QI implementation varied widely due to different number of personnel involved across sites.</p></div><div><h3>Conclusion</h3><p>A QI program delivered via Project ECHO Diabetes can facilitate quality improvements in underserved communities.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023001915/pdfft?md5=5c22961e3996d30f51e577424eec80d7&pid=1-s2.0-S1553725023001915-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10278943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.jcjq.2023.10.012
Grayson E. Buning (is Medical Student and Clinical Research Coordinator, Department of Family Medicine, University of Michigan.), Tyler G. James PhD, MCHES (is Assistant Professor, Department of Family Medicine, University of Michigan.), Blair Richards MPH (is Senior Statistician, Michigan Institute for Clinical and Health Research, University of Michigan.), Michael M. McKee MD, MPH (is Associate Professor, Department of Family Medicine, and Co-Director, Center for Disability Health and Wellness, University of Michigan. Please address correspondence to Michael M. McKee)
Background
People with disabilities experience barriers to engaging with health care due to inaccessible social and physical environments at primary care clinics. Despite legal mandates, identification and provision of necessary accommodations for this population at primary care clinics are poor. The objective of this cross-sectional study was to assess patient-reported disability status and accommodation needs among patients at a primary care clinic.
Methods
An electronic health record–based Disability and Accommodations Questionnaire assessing disability status, types, and accommodation needs was developed by subject matter experts at Michigan Medicine and the University of Michigan Council for Disability Concerns. The questionnaire underwent multiple rounds of reviews and revisions before its use in clinical settings. A paper-based questionnaire was administered to all patients presenting for a wellness-based visit at an academic health system primary care clinic in southeast Michigan. Data were collected between March 2022 and August 2022.
Results
Approximately 13% of the 541 patients self-reported a disability, with 54.2% indicating at least one needed accommodation. The most commonly reported disabilities were mental health and hearing-related disabilities, by 4.8% and 4.6% of patients, respectively. The most frequently requested accommodations were communication- or language-based (for example, presence of an American Sign Language interpreter, assistive listening devices), cognitive-based (for example, inclusion of a support person with care decisions), and mobility-based (for example, assistance with transfers).
Conclusion
The Disability and Accommodations Questionnaire helped identify the presence of a disability, its types, and any requested accommodations requested at a primary care health center.
{"title":"Self-Reported Accommodation Needs for Patients with Disabilities in Primary Care","authors":"Grayson E. Buning (is Medical Student and Clinical Research Coordinator, Department of Family Medicine, University of Michigan.), Tyler G. James PhD, MCHES (is Assistant Professor, Department of Family Medicine, University of Michigan.), Blair Richards MPH (is Senior Statistician, Michigan Institute for Clinical and Health Research, University of Michigan.), Michael M. McKee MD, MPH (is Associate Professor, Department of Family Medicine, and Co-Director, Center for Disability Health and Wellness, University of Michigan. Please address correspondence to Michael M. McKee)","doi":"10.1016/j.jcjq.2023.10.012","DOIUrl":"10.1016/j.jcjq.2023.10.012","url":null,"abstract":"<div><h3>Background</h3><p>People with disabilities experience barriers to engaging with health care due to inaccessible social and physical environments at primary care clinics. Despite legal mandates, identification and provision of necessary accommodations for this population at primary care clinics are poor. The objective of this cross-sectional study was to assess patient-reported disability status and accommodation needs among patients at a primary care clinic.</p></div><div><h3>Methods</h3><p>An electronic health record–based Disability and Accommodations Questionnaire assessing disability status, types, and accommodation needs was developed by subject matter experts at Michigan Medicine and the University of Michigan Council for Disability Concerns. The questionnaire underwent multiple rounds of reviews and revisions before its use in clinical settings. A paper-based questionnaire was administered to all patients presenting for a wellness-based visit at an academic health system primary care clinic in southeast Michigan. Data were collected between March 2022 and August 2022.</p></div><div><h3>Results</h3><p>Approximately 13% of the 541 patients self-reported a disability, with 54.2% indicating at least one needed accommodation. The most commonly reported disabilities were mental health and hearing-related disabilities, by 4.8% and 4.6% of patients, respectively. The most frequently requested accommodations were communication- or language-based (for example, presence of an American Sign Language interpreter, assistive listening devices), cognitive-based (for example, inclusion of a support person with care decisions), and mobility-based (for example, assistance with transfers).</p></div><div><h3>Conclusion</h3><p>The Disability and Accommodations Questionnaire helped identify the presence of a disability, its types, and any requested accommodations requested at a primary care health center.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002635/pdfft?md5=e075c42c776a1501c3a5b84ef80cd71f&pid=1-s2.0-S1553725023002635-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136154024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/S1553-7250(23)00284-2
{"title":"Acknowledgments","authors":"","doi":"10.1016/S1553-7250(23)00284-2","DOIUrl":"https://doi.org/10.1016/S1553-7250(23)00284-2","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002842/pdfft?md5=72314eca4eead36d7955add51736b2ba&pid=1-s2.0-S1553725023002842-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139100852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-25DOI: 10.1016/j.jcjq.2023.12.003
Andrea Mora Capín MD (is Emergency Pediatrician and Quality Improvement and Patient Experience Coordinator, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, Madrid, and, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid.), Ana Jové Blanco MD (is Emergency Pediatrician, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón.), Eduardo Oujo Álamo (is Pediatric Resident, Hospital General Universitario Gregorio Marañón.), Agustín Muñoz Cutillas MD (is Pediatric Resident, Hospital General Universitario Gregorio Marañón.), Vanesa Barrera Brito MSc (is Head of Nursing, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón.), Paula Vázquez López MD, PhD (is Head of Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón. Please address correspondence to Andrea Mora-Capín)
Background
The transfer of information at the change of shift is a critical point for patient experience during the care process. The aim of this study was to evaluate caregivers’ perceptions before and after the implementation of a multidisciplinary bedside handoff in a pediatric emergency department (PED).
Methods
This was a quality improvement pre-post intervention, single-center study. The authors included caregivers of patients allocated in the observation unit of a PED during health care provider shift change. The study was made up of the following phases: (1) preintervention survey distribution, (2) implementation of the bedside handoff, involving all health care professionals (including nurses, nursing assistants, and pediatricians) and caregivers, and (3) postintervention survey distribution. The survey explored the three dimensions of patient experience defined as main study outcomes: information received and communication with professionals, participation, and continuity of care.
Results
A total of 102 surveys were collected (51 each in the preintervention and postintervention phases). In the preintervention phase, 94.1% of caregivers would have wished to be actively involved in the change of shift. In the postintervention phase, more caregivers felt that professionals had proper introductions (49.0% vs. 84.3%; p < 0.01), had kept them informed of the plan to be followed (58.8% vs. 84.3%; p = 0.02), and encouraged questions (45.1% vs. 82.4%; p < 0.01). Caregivers of the postintervention phase perceived less disorganization during the change of shift (25.5% vs. 5.9%; p = 0.01) and a greater sense of continuity (64.7% vs. 86.3%; p = 0.02).
Conclusion
The bedside handoff is a useful strategy to improve patient and family perceptions of communication with professionals, information received, and continuity of care at health care providers shift change. Future lines of research and improvement include ensuring equity in participation in the bedside handoff for all caregivers, monitoring the handoffs to determine how often patients/caregivers participate and correct mistakes in information transfer. and exploring professionals’ perceptions.
背景交班时的信息传递是患者在护理过程中体验的关键点。本研究旨在评估儿科急诊科(PED)实施多学科床旁交接班前后护理人员的看法。作者将在医护人员换班期间被分配到 PED 观察室的患者的护理人员纳入研究范围。研究由以下几个阶段组成:(1)干预前调查问卷的发放;(2)床旁交接班的实施,包括所有医护人员(包括护士、护理助理和儿科医生)和护理人员;(3)干预后调查问卷的发放。调查探讨了作为主要研究成果的患者体验的三个方面:收到的信息和与专业人员的沟通、参与和护理的连续性。结果共收集到 102 份调查问卷(干预前和干预后阶段各 51 份)。在干预前阶段,94.1% 的护理人员希望积极参与换班。在干预后阶段,更多的护理人员认为专业人员进行了适当的介绍(49.0% 对 84.3%;p <;0.01),让他们了解了要遵循的计划(58.8% 对 84.3%;p = 0.02),并鼓励他们提问(45.1% 对 82.4%;p <;0.01)。干预后阶段的护理人员在换班时感受到的混乱较少(25.5% vs. 5.9%; p = 0.01),连续性感更强(64.7% vs. 86.3%; p = 0.02)。未来的研究和改进方向包括:确保所有护理人员公平参与床旁交接,监控交接过程以确定患者/护理人员参与的频率,纠正信息传递中的错误,以及探索专业人员的看法。
{"title":"Involving the Patient and Family in the Transfer of Information at Shift Change in a Pediatric Emergency Department","authors":"Andrea Mora Capín MD (is Emergency Pediatrician and Quality Improvement and Patient Experience Coordinator, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, Madrid, and, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid.), Ana Jové Blanco MD (is Emergency Pediatrician, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón.), Eduardo Oujo Álamo (is Pediatric Resident, Hospital General Universitario Gregorio Marañón.), Agustín Muñoz Cutillas MD (is Pediatric Resident, Hospital General Universitario Gregorio Marañón.), Vanesa Barrera Brito MSc (is Head of Nursing, Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón.), Paula Vázquez López MD, PhD (is Head of Pediatric Emergency Department, Hospital General Universitario Gregorio Marañón, and, Instituto de Investigación Sanitaria Gregorio Marañón. Please address correspondence to Andrea Mora-Capín)","doi":"10.1016/j.jcjq.2023.12.003","DOIUrl":"10.1016/j.jcjq.2023.12.003","url":null,"abstract":"<div><h3>Background</h3><p><span>The transfer of information at the change of shift is a critical point for patient experience during the care process. The aim of this study was to evaluate caregivers’ perceptions before and after the implementation of a multidisciplinary bedside handoff in a pediatric </span>emergency department (PED).</p></div><div><h3>Methods</h3><p><span>This was a quality improvement pre-post intervention, single-center study. The authors included caregivers of patients allocated in the </span>observation unit<span> of a PED during health care provider shift change. The study was made up of the following phases: (1) preintervention survey distribution, (2) implementation of the bedside handoff, involving all health care professionals (including nurses, nursing assistants, and pediatricians) and caregivers, and (3) postintervention survey distribution. The survey explored the three dimensions of patient experience defined as main study outcomes: information received and communication with professionals, participation, and continuity of care.</span></p></div><div><h3>Results</h3><p>A total of 102 surveys were collected (51 each in the preintervention and postintervention phases). In the preintervention phase, 94.1% of caregivers would have wished to be actively involved in the change of shift. In the postintervention phase, more caregivers felt that professionals had proper introductions (49.0% vs. 84.3%; <em>p</em> < 0.01), had kept them informed of the plan to be followed (58.8% vs. 84.3%; <em>p</em> = 0.02), and encouraged questions (45.1% vs. 82.4%; <em>p</em> < 0.01). Caregivers of the postintervention phase perceived less disorganization during the change of shift (25.5% vs. 5.9%; <em>p</em> = 0.01) and a greater sense of continuity (64.7% vs. 86.3%; <em>p</em> = 0.02).</p></div><div><h3>Conclusion</h3><p>The bedside handoff is a useful strategy to improve patient and family perceptions of communication with professionals, information received, and continuity of care at health care providers shift change. Future lines of research and improvement include ensuring equity in participation in the bedside handoff for all caregivers, monitoring the handoffs to determine how often patients/caregivers participate and correct mistakes in information transfer. and exploring professionals’ perceptions.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191443","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}