Pub Date : 2024-06-01DOI: 10.1016/j.jcjq.2024.02.005
Stephen P. Schmaltz PhD, MPH, MS (is Senior Biostatistician, Department of Research, The Joint Commission, Oakbrook Terrace, Illinois.), Beth A. Longo DrPH, MSN, RN (is Associate Director, Department of Research, The Joint Commission.), Scott C. Williams PsyD (is Director, Department of Research, The Joint Commission. Please address correspondence to Beth A. Longo)
Background
This study evaluated the relationship between Joint Commission accreditation and health care–associated infections (HAIs) in long-term care hospitals (LTCHs).
Methods
This observational study used Centers for Medicare & Medicaid Services (CMS) LTCH data for the period 2017 to June 2021. The standardized infection ratio (SIR) of three measures used by the Centers for Disease Control and Prevention's National Healthcare Safety Network were used as dependent variables in a random coefficient Poisson regression model (adjusting for CMS region, owner type, and bed size quartile): catheter-associated urinary tract infections (CAUTIs), Clostridioides difficile infections (CDIs), and central line–associated bloodstream infections (CLABSIs) for the periods 2017 to 2019 and July 1, 2020, to June 30, 2021. Data from January 1 to June 30, 2020, were excluded due to the COVID-19 pandemic.
Results
The data set included 244 (73.3%) Joint Commission–accredited and 89 (26.7%) non–Joint Commission–accredited LTCHs. Compared to non–Joint Commission–accredited LTCHs, accredited LTCHs had significantly better (lower) SIRs for CLABSI and CAUTI measures, although no differences were observed for CDI SIRs. There were no significant differences in year trends for any of the HAI measures. For each year of the study period, a greater proportion of Joint Commission–accredited LTCHs performed significantly better than the national benchmark for all three measures (p = 0.04 for CAUTI, p = 0.02 for CDI, p = 0.01 for CLABSI).
Conclusion
Although this study was not designed to establish causality, positive associations were observed between Joint Commission accreditation and CLABSI and CAUTI measures, and Joint Commission–accredited LTCHs attained more consistent high performance over the four-year study period for all three measures. Influencing factors may include the focus of Joint Commission standards on infection control and prevention (ICP), including the hierarchical approach to selecting ICP–related standards as inputs into LTCH policy.
{"title":"Infection Control Measure Performance in Long-Term Care Hospitals and Their Relationship to Joint Commission Accreditation","authors":"Stephen P. Schmaltz PhD, MPH, MS (is Senior Biostatistician, Department of Research, The Joint Commission, Oakbrook Terrace, Illinois.), Beth A. Longo DrPH, MSN, RN (is Associate Director, Department of Research, The Joint Commission.), Scott C. Williams PsyD (is Director, Department of Research, The Joint Commission. Please address correspondence to Beth A. Longo)","doi":"10.1016/j.jcjq.2024.02.005","DOIUrl":"10.1016/j.jcjq.2024.02.005","url":null,"abstract":"<div><h3>Background</h3><p>This study evaluated the relationship between Joint Commission accreditation and health care–associated infections (HAIs) in long-term care hospitals (LTCHs).</p></div><div><h3>Methods</h3><p>This observational study used Centers for Medicare & Medicaid Services (CMS) LTCH data for the period 2017 to June 2021. The standardized infection ratio (SIR) of three measures used by the Centers for Disease Control and Prevention's National Healthcare Safety Network were used as dependent variables in a random coefficient Poisson regression model (adjusting for CMS region, owner type, and bed size quartile): catheter-associated urinary tract infections (CAUTIs), <em>Clostridioides difficile</em> infections (CDIs), and central line–associated bloodstream infections (CLABSIs) for the periods 2017 to 2019 and July 1, 2020, to June 30, 2021. Data from January 1 to June 30, 2020, were excluded due to the COVID-19 pandemic.</p></div><div><h3>Results</h3><p>The data set included 244 (73.3%) Joint Commission–accredited and 89 (26.7%) non–Joint Commission–accredited LTCHs. Compared to non–Joint Commission–accredited LTCHs, accredited LTCHs had significantly better (lower) SIRs for CLABSI and CAUTI measures, although no differences were observed for CDI SIRs. There were no significant differences in year trends for any of the HAI measures. For each year of the study period, a greater proportion of Joint Commission–accredited LTCHs performed significantly better than the national benchmark for all three measures (<em>p</em> = 0.04 for CAUTI, <em>p</em> = 0.02 for CDI, <em>p</em> = 0.01 for CLABSI).</p></div><div><h3>Conclusion</h3><p>Although this study was not designed to establish causality, positive associations were observed between Joint Commission accreditation and CLABSI and CAUTI measures, and Joint Commission–accredited LTCHs attained more consistent high performance over the four-year study period for all three measures. Influencing factors may include the focus of Joint Commission standards on infection control and prevention (ICP), including the hierarchical approach to selecting ICP–related standards as inputs into LTCH policy.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 6","pages":"Pages 425-434"},"PeriodicalIF":2.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139965528","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}
Pub Date : 2024-06-01DOI: 10.1016/j.jcjq.2024.01.012
Imane Hammana MSc, PhD (is Researcher, Health Technology Assessment Unit, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal.), Marie-Claude Bernier (is Senior Advisor, Respiratory Therapy and Anesthesiology, CHUM.), Sabrine Sahmi (is Senior Advisor, Material Resources Management, CHUM.), Alfons Pomp MD, FRCSC, FACS. (is Professor of Surgery and Director, Health Technology Assessment Unit, CHUM. Please address correspondence to Alfons Pomp)
{"title":"Reusing Single-Use Intermittent Pneumatic Compression Devices to Promote Greenhouse Gas Reduction in Hospitals: A Pilot Study","authors":"Imane Hammana MSc, PhD (is Researcher, Health Technology Assessment Unit, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal.), Marie-Claude Bernier (is Senior Advisor, Respiratory Therapy and Anesthesiology, CHUM.), Sabrine Sahmi (is Senior Advisor, Material Resources Management, CHUM.), Alfons Pomp MD, FRCSC, FACS. (is Professor of Surgery and Director, Health Technology Assessment Unit, CHUM. Please address correspondence to Alfons Pomp)","doi":"10.1016/j.jcjq.2024.01.012","DOIUrl":"10.1016/j.jcjq.2024.01.012","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 6","pages":"Pages 456-457"},"PeriodicalIF":2.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140068371","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}
Pub Date : 2024-06-01DOI: 10.1016/j.jcjq.2024.04.005
David W. Baker MD, MPH, FACP (at the time of this interview recording, was Editor-in-Chief, The Joint Commission Journal on Quality and Patient Safety, Oakbrook Terrace, Illinois. Please address correspondence to Scott Williams)
{"title":"Clinician Well-Being and Burnout: Panel Interview with Tait Shanafelt, Lisa Rotenstein, and Christine Sinsky","authors":"David W. Baker MD, MPH, FACP (at the time of this interview recording, was Editor-in-Chief, The Joint Commission Journal on Quality and Patient Safety, Oakbrook Terrace, Illinois. Please address correspondence to Scott Williams)","doi":"10.1016/j.jcjq.2024.04.005","DOIUrl":"10.1016/j.jcjq.2024.04.005","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 6","pages":"Pages 467-471"},"PeriodicalIF":2.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140777170","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}
Pub Date : 2024-05-31DOI: 10.1016/j.jcjq.2024.05.008
Background
Inpatient suicides have devastating and long-lasting consequences for patients, families, and health care organizations, posing a major challenge for hospitals. Although many studies have identified patient risk factors for inpatient suicide, the modifiable health care factors are less understood. Failure to understand these modifiable factors weakens organizations’ ability to design and implement effective prevention strategies.
Methods
The Human Factors Analysis and Classification System for Healthcare (HFACS–Healthcare) was used to classify and analyze modifiable health care factors that contributed directly or indirectly to inpatient suicides in Australian hospitals between 2009 and 2018. Comparisons were made between general and psychiatric hospital units to identify context-specific recommendations.
Results
Of the 367 cases, 216 (58.9%) had enough information to analyze the contributing factors, and 214 (58.3%) included unit location information. Multiple modifiable health care factors were identified in the cases as contributing to the patients’ suicides. Commonly, cases reported decision errors made by individuals (57.4%), problems with the physical environment (56.0%), and unit-level operational decision-making errors (that is, planned inappropriate operations) (48.6%). An association was found between unit type and problems with coordination, mental state, tasks, physical environment, planned inappropriate operations, and organizational culture (p < 0.05).
Conclusion
General prevention initiatives may not be effective in addressing inpatient suicides across specialty units. HFACS–Healthcare enabled a deeper understanding of inpatient suicide and the identification of priority areas that, if addressed, could help reduce the number of preventable suicides in hospitals. Hospital suicide prevention initiatives need to be tailored to specific units and target individual and system vulnerabilities to improve safety and reduce inpatient suicide rates.
{"title":"A Review of Modifiable Health Care Factors Contributing to Inpatient Suicide: An Analysis of Coroners’ Reports Using the Human Factors Analysis and Classification System for Healthcare","authors":"","doi":"10.1016/j.jcjq.2024.05.008","DOIUrl":"10.1016/j.jcjq.2024.05.008","url":null,"abstract":"<div><h3>Background</h3><div>Inpatient suicides have devastating and long-lasting consequences for patients, families, and health care organizations<span>, posing a major challenge for hospitals. Although many studies have identified patient risk factors for inpatient suicide, the modifiable health care factors are less understood. Failure to understand these modifiable factors weakens organizations’ ability to design and implement effective prevention strategies.</span></div></div><div><h3>Methods</h3><div>The Human Factors Analysis and Classification System for Healthcare (HFACS–Healthcare) was used to classify and analyze modifiable health care factors that contributed directly or indirectly to inpatient suicides in Australian hospitals between 2009 and 2018. Comparisons were made between general and psychiatric hospital units to identify context-specific recommendations.</div></div><div><h3>Results</h3><div><span>Of the 367 cases, 216 (58.9%) had enough information to analyze the contributing factors, and 214 (58.3%) included unit location information. Multiple modifiable health care factors were identified in the cases as contributing to the patients’ suicides. Commonly, cases reported decision errors made by individuals (57.4%), problems with the physical environment (56.0%), and unit-level operational decision-making errors (that is, planned inappropriate operations) (48.6%). An association was found between unit type and problems with coordination, mental state, tasks, physical environment, planned inappropriate operations, and organizational culture (</span><em>p</em> < 0.05).</div></div><div><h3>Conclusion</h3><div>General prevention initiatives may not be effective in addressing inpatient suicides across specialty units. HFACS–Healthcare enabled a deeper understanding of inpatient suicide and the identification of priority areas that, if addressed, could help reduce the number of preventable suicides in hospitals. Hospital suicide prevention initiatives need to be tailored to specific units and target individual and system vulnerabilities to improve safety and reduce inpatient suicide rates.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 10","pages":"Pages 711-718"},"PeriodicalIF":2.3,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141468102","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}
Pub Date : 2024-05-31DOI: 10.1016/j.jcjq.2024.05.011
Jennifer Sloane PhD, MS (is Advanced Postdoctoral Fellow, Health Services Research and Development, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston, and Baylor College of Medicine, Houston.), Hardeep Singh MD, MPH (is Research Scientist and Co-Chief, Health Policy, Quality and Informatics Program, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, and Professor, Baylor College of Medicine.), Divvy K. Upadhyay MD, MPH, CPHRM, CPPS (is Diagnostic Safety Program Leader, Division of Quality, Safety and Patient Experience, Geisinger, Danville, Pennsylvania and Assistant Professor, Health System Sciences, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania.), Saritha Korukonda MD, MS, CCRP (is Research Project Manager II, Geisinger.), Abigail Marinez MPH (is Research Coordinator II, Baylor College of Medicine.), Traber D. Giardina PhD, MSW (is Investigator, Implementation and Innovation Program, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, and Assistant Professor, Baylor College of Medicine. Please address correspondence to Traber D. Giardina)
Background
Learning health system (LHS) approaches could potentially help health care organizations (HCOs) identify and address diagnostic errors. However, few such programs exist, and their implementation is poorly understood.
Methods
The authors conducted a qualitative evaluation of the Safer Dx Learning Lab, a partnership between a health system and a research team, to identify and learn from diagnostic errors and improve diagnostic safety at an organizational level. The research team conducted virtual interviews to solicit participant feedback regarding experiences with the lab, focusing specifically on implementation and sustainment issues.
Results
Interviews of 25 members associated with the lab identified the following successes: learning and professional growth, improved workflow related to streamlining the process of reporting error cases, and a psychologically safe culture for identifying and reporting diagnostic errors. However, multiple barriers also emerged: competing priorities between clinical responsibilities and research, time-management issues related to a lack of protected time, and inadequate guidance to disseminate findings. Lessons learned included understanding the importance of obtaining buy-in from leadership and interested stakeholders, creating a psychologically safe environment for reporting cases, and the need for more protected time for clinicians to review and learn from cases.
Conclusion
Findings suggest that a learning health systems approach using partnerships between researchers and a health system affected organizational culture by prioritizing learning from diagnostic errors and encouraging clinicians to be more open to reporting. The study findings can help organizations overcome barriers to engage clinicians and inform future implementation and sustainment of similar initiatives.
{"title":"Partnership as a Pathway to Diagnostic Excellence: The Challenges and Successes of Implementing the Safer Dx Learning Lab","authors":"Jennifer Sloane PhD, MS (is Advanced Postdoctoral Fellow, Health Services Research and Development, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs (VA) Medical Center, Houston, and Baylor College of Medicine, Houston.), Hardeep Singh MD, MPH (is Research Scientist and Co-Chief, Health Policy, Quality and Informatics Program, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, and Professor, Baylor College of Medicine.), Divvy K. Upadhyay MD, MPH, CPHRM, CPPS (is Diagnostic Safety Program Leader, Division of Quality, Safety and Patient Experience, Geisinger, Danville, Pennsylvania and Assistant Professor, Health System Sciences, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania.), Saritha Korukonda MD, MS, CCRP (is Research Project Manager II, Geisinger.), Abigail Marinez MPH (is Research Coordinator II, Baylor College of Medicine.), Traber D. Giardina PhD, MSW (is Investigator, Implementation and Innovation Program, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, and Assistant Professor, Baylor College of Medicine. Please address correspondence to Traber D. Giardina)","doi":"10.1016/j.jcjq.2024.05.011","DOIUrl":"10.1016/j.jcjq.2024.05.011","url":null,"abstract":"<div><h3>Background</h3><div><span>Learning health system (LHS) approaches could potentially help </span>health care organizations<span> (HCOs) identify and address diagnostic errors. However, few such programs exist, and their implementation is poorly understood.</span></div></div><div><h3>Methods</h3><div>The authors conducted a qualitative evaluation of the Safer Dx Learning Lab, a partnership between a health system and a research team, to identify and learn from diagnostic errors and improve diagnostic safety at an organizational level. The research team conducted virtual interviews to solicit participant feedback regarding experiences with the lab, focusing specifically on implementation and sustainment issues.</div></div><div><h3>Results</h3><div>Interviews of 25 members associated with the lab identified the following successes: learning and professional growth, improved workflow related to streamlining the process of reporting error cases, and a psychologically safe culture for identifying and reporting diagnostic errors. However, multiple barriers also emerged: competing priorities between clinical responsibilities and research, time-management issues related to a lack of protected time, and inadequate guidance to disseminate findings. Lessons learned included understanding the importance of obtaining buy-in from leadership and interested stakeholders, creating a psychologically safe environment for reporting cases, and the need for more protected time for clinicians to review and learn from cases.</div></div><div><h3>Conclusion</h3><div>Findings suggest that a learning health systems approach using partnerships between researchers and a health system affected organizational culture by prioritizing learning from diagnostic errors and encouraging clinicians to be more open to reporting. The study findings can help organizations overcome barriers to engage clinicians and inform future implementation and sustainment of similar initiatives.</div></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 12","pages":"Pages 834-841"},"PeriodicalIF":2.3,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141468103","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}
Pub Date : 2024-05-25DOI: 10.1016/j.jcjq.2024.05.007
{"title":"Artificial Intelligence and the Practice of Patient Safety: GPT-4 Performance on a Standardized Test of Safety Knowledge","authors":"","doi":"10.1016/j.jcjq.2024.05.007","DOIUrl":"10.1016/j.jcjq.2024.05.007","url":null,"abstract":"","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 10","pages":"Pages 745-747"},"PeriodicalIF":2.3,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141317390","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}
Pub Date : 2024-05-14DOI: 10.1016/j.jcjq.2024.05.005
The pandemic has intensified clinicians’ workloads, leading to an increased incidence of adverse events and subsequent second victim syndrome, with almost half of health care clinicians experiencing its symptoms. However, following a literature review, no tools were found that addressed second victim syndrome in nurses. To address these issues and the gap in the literature, the authors developed the BONE Break hot debriefing tool. BONE Break is designed to be facilitated by charge nurses or other unit leaders as a means of offering peer support to other nurses who went through an adverse event. During its initial implementation, BONE Break was employed in 43 of 46 events adverse events (93.5%), and 41 of 43 sessions (95.3%) were deemed helpful. The research team has continued to gain stakeholder buy-in and implement BONE Break across multiple sites. Future work will determine BONE Break's efficacy in enhancing long-term nursing retention and reducing second victim symptoms.
大流行病加重了临床医生的工作量,导致不良事件和随后的第二受害者综合症的发生率增加,近一半的医疗保健临床医生都有这种症状。然而,在文献综述之后,没有发现任何工具可以解决护士的第二受害者综合症问题。为了解决这些问题和文献空白,作者开发了 BONE Break 热简报工具。BONE Break 的设计目的是由主管护士或其他科室领导为经历过不良事件的其他护士提供同伴支持。在最初实施期间,46 起不良事件中有 43 起(93.5%)采用了 "骨断 "疗法,43 次治疗中有 41 次(95.3%)被认为是有帮助的。研究小组继续争取利益相关者的支持,并在多个地点实施 BONE Break。未来的工作将确定 BONE Break 在提高长期护理保留率和减少二次伤害症状方面的功效。
{"title":"BONE Break: A Hot Debrief Tool to Reduce Second Victim Syndrome for Nurses","authors":"","doi":"10.1016/j.jcjq.2024.05.005","DOIUrl":"10.1016/j.jcjq.2024.05.005","url":null,"abstract":"<div><p><span>The pandemic has intensified clinicians’ workloads, leading to an increased incidence of adverse events and subsequent second victim syndrome, with almost half of health care clinicians experiencing its symptoms. However, following a </span>literature review<span>, no tools were found that addressed second victim syndrome in nurses. To address these issues and the gap in the literature, the authors developed the BONE Break hot debriefing tool. BONE Break is designed to be facilitated by charge nurses or other unit leaders as a means of offering peer support to other nurses who went through an adverse event. During its initial implementation, BONE Break was employed in 43 of 46 events adverse events (93.5%), and 41 of 43 sessions (95.3%) were deemed helpful. The research team has continued to gain stakeholder buy-in and implement BONE Break across multiple sites. Future work will determine BONE Break's efficacy in enhancing long-term nursing retention and reducing second victim symptoms.</span></p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 9","pages":"Pages 673-677"},"PeriodicalIF":2.3,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141030638","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}
Pub Date : 2024-05-10DOI: 10.1016/j.jcjq.2024.05.006
Background
There is a push toward shorter length of stay (LOS) after surgery by hospitals, payers, and policymakers. However, the extent to which these changes have shifted the occurrence of complications to the postdischarge setting is unknown. The objectives of this study were to (1) evaluate changes in LOS and postdischarge complications over time and (2) assess factors associated with postdischarge complications.
Study Design
Patients who underwent surgery across five specialties (colorectal, esophageal, hepatopancreatobiliary [HPB], gynecology, and urology) were identified from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) procedure-targeted database (2014–2019). Trends in the proportion of postdischarge complications within 30 days of surgery and predictors of postdischarge complications were assessed using multivariable logistic regression.
Results
Among 538,172 patients evaluated, median LOS decreased from 3 (2014) to 2 days (2019) (p < 0.001). Overall, 12.2% of patients experienced a 30-day complication, with 50.4% occurring postdischarge. with the highest in hysterectomy (80.9%), prostatectomy (74.6%), and cystectomy (54.6%). The overall postoperative complication decreased, but the proportion of postdischarge complications increased from 44.6% (2014) to 56.4% (2019) (p < 0.001), including surgical site infection (superficial/deep/organ space/wound dehiscence), other infection (pneumonia/urinary tract infection/sepsis), cardiovascular (myocardial infarction/cardiac arrest/stroke), and venous thromboembolism. Factors associated with an increased odds of postdischarge complications included Hispanic or other race, higher American Society of Anesthesiologists class, dependent functional status, increased body mass index, higher wound class, inpatient complication, longer operation, and procedure type (HPB/colorectal/hysterectomy/esophagectomy, vs. prostatectomy) (all p < 0.001).
Conclusion
This comprehensive retrospective analysis across five representative surgical specialties highlighted that although LOS has decreased over time, the proportion of postdischarge complications has increased over time. Focusing on the development of a comprehensive, proactive, postdischarge monitoring system to better identify and manage postdischarge complications is necessary.
{"title":"Divergent Trends in Postoperative Length of Stay and Postdischarge Complications over Time","authors":"","doi":"10.1016/j.jcjq.2024.05.006","DOIUrl":"10.1016/j.jcjq.2024.05.006","url":null,"abstract":"<div><h3>Background</h3><p>There is a push toward shorter length of stay (LOS) after surgery by hospitals, payers, and policymakers. However, the extent to which these changes have shifted the occurrence of complications to the postdischarge setting is unknown. The objectives of this study were to (1) evaluate changes in LOS and postdischarge complications over time and (2) assess factors associated with postdischarge complications.</p></div><div><h3>Study Design</h3><p><span>Patients who underwent surgery across five specialties (colorectal, esophageal, hepatopancreatobiliary [HPB], gynecology<span>, and urology) were identified from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) procedure-targeted database (2014–2019). Trends in the proportion of postdischarge complications within 30 days of surgery and predictors of postdischarge complications were assessed using multivariable </span></span>logistic regression.</p></div><div><h3>Results</h3><p>Among 538,172 patients evaluated, median LOS decreased from 3 (2014) to 2 days (2019) (<em>p</em><span><span> < 0.001). Overall, 12.2% of patients experienced a 30-day complication, with 50.4% occurring postdischarge. with the highest in hysterectomy<span><span> (80.9%), prostatectomy (74.6%), and </span>cystectomy (54.6%). The overall </span></span>postoperative complication decreased, but the proportion of postdischarge complications increased from 44.6% (2014) to 56.4% (2019) (</span><em>p</em><span><span> < 0.001), including surgical site infection<span> (superficial/deep/organ space/wound dehiscence), other infection (pneumonia/urinary tract infection/sepsis), cardiovascular (myocardial infarction/cardiac arrest/stroke), and venous thromboembolism. Factors associated with an increased odds of postdischarge complications included Hispanic or other race, higher American Society of Anesthesiologists class, dependent functional status, increased </span></span>body mass index, higher wound class, inpatient complication, longer operation, and procedure type (HPB/colorectal/hysterectomy/esophagectomy, vs. prostatectomy) (all </span><em>p</em> < 0.001).</p></div><div><h3>Conclusion</h3><p>This comprehensive retrospective analysis across five representative surgical specialties highlighted that although LOS has decreased over time, the proportion of postdischarge complications has increased over time. Focusing on the development of a comprehensive, proactive, postdischarge monitoring system to better identify and manage postdischarge complications is necessary.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 9","pages":"Pages 630-637"},"PeriodicalIF":2.3,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141025517","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}
Pub Date : 2024-05-06DOI: 10.1016/j.jcjq.2024.05.002
Background
Before medically advised (BMA) discharge, which refers to patients leaving the hospital at their own discretion, is associated with higher rates of readmission and death in other settings. It is not known if housing status is associated with this phenomenon after surgery.
Methods
We identified all admitted adults who underwent an operation by one of 11 different surgical services at a single tertiary care hospital between January 2013 and June 2022. Chi-square tests and t-tests were used to compare demographic and clinical features between BMA discharges and standard discharges. Multivariable logistic regression was used to evaluate the association between housing status and BMA discharge, adjusting for demographic and admission characteristics. Documented reasons for BMA discharge were also abstracted from the medical record.
Results
Of 111,036 patient admissions, 242 resulted in BMA discharge (0.2%). After adjusting for observable confounders, patients experiencing homelessness had substantially higher odds of BMA discharge after surgery (adjusted odds ratio 4.4, 95% confidence interval 3.0–6.4; p < 0.001) when compared to housed. Patients who underwent emergency surgery, patients with a documented substance use disorder, and those insured by Medicaid also had significantly higher odds of BMA discharge. System- or provider-related reasons (including patient frustration with the hospital environment, challenges in managing substance dependence, and perceived inadequacy of paint control) were documented in 96% of BMA discharges for patients experiencing homelessness (vs. 66% in housed patients).
Conclusion
BMA discharge is more common in patients experiencing homelessness after surgery even after adjusting for observable confounding characteristics. Deeper understanding of the drivers of BMA discharge in patients experiencing homelessness through qualitative methods are critical to promote more equitable and effective care.
{"title":"Association of Homelessness with Before Medically Advised Discharge After Surgery","authors":"","doi":"10.1016/j.jcjq.2024.05.002","DOIUrl":"10.1016/j.jcjq.2024.05.002","url":null,"abstract":"<div><h3>Background</h3><p>Before medically advised (BMA) discharge, which refers to patients leaving the hospital at their own discretion, is associated with higher rates of readmission and death in other settings. It is not known if housing status is associated with this phenomenon after surgery.</p></div><div><h3>Methods</h3><p>We identified all admitted adults who underwent an operation by one of 11 different surgical services at a single tertiary care hospital between January 2013 and June 2022. Chi-square tests and <em>t</em>-tests were used to compare demographic and clinical features between BMA discharges and standard discharges. Multivariable logistic regression was used to evaluate the association between housing status and BMA discharge, adjusting for demographic and admission characteristics. Documented reasons for BMA discharge were also abstracted from the medical record.</p></div><div><h3>Results</h3><p>Of 111,036 patient admissions, 242 resulted in BMA discharge (0.2%). After adjusting for observable confounders, patients experiencing homelessness had substantially higher odds of BMA discharge after surgery (adjusted odds ratio 4.4, 95% confidence interval 3.0–6.4; <em>p</em> < 0.001) when compared to housed. Patients who underwent emergency surgery, patients with a documented substance use disorder, and those insured by Medicaid also had significantly higher odds of BMA discharge. System- or provider-related reasons (including patient frustration with the hospital environment, challenges in managing substance dependence, and perceived inadequacy of paint control) were documented in 96% of BMA discharges for patients experiencing homelessness (vs. 66% in housed patients).</p></div><div><h3>Conclusion</h3><p>BMA discharge is more common in patients experiencing homelessness after surgery even after adjusting for observable confounding characteristics. Deeper understanding of the drivers of BMA discharge in patients experiencing homelessness through qualitative methods are critical to promote more equitable and effective care.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 9","pages":"Pages 655-663"},"PeriodicalIF":2.3,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725024001429/pdfft?md5=073e6bb709bd9bcab88bc28d72d47c11&pid=1-s2.0-S1553725024001429-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141044463","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 : 2024-05-06DOI: 10.1016/j.jcjq.2024.05.003
Background
Prior studies have documented that, despite federal mandates, clinicians infrequently provide accommodations that enable equitable health care engagement for patients with communication disabilities. To date, there has been a paucity of empirical research describing the organizational approach to implementing these accommodations. The authors asked US health care organizations how they were delivering these accommodations in the context of clinical care, what communication accommodations they provided, and what disability populations they addressed.
Methods
In this study, 19 qualitative interviews were conducted with disability coordinators representing 15 US health care organizations actively implementing communication accommodations. A conventional qualitative content analysis approach was used to code the data and derive themes.
Results
The authors identified three major themes related to how US health care organizations are implementing the provision of this service: (1) Operationalizing the delivery of communication accommodations in health care required executive leadership support and preparatory work at clinic and organization levels; (2) The primary focus of communication accommodations was sign language interpreter services for Deaf patients and, secondarily, other hearing- and visual-related accommodations; and (3) Providing communication accommodations for patients with speech and language and cognitive disabilities was less frequent, but when done involved more than providing a single aid or service.
Conclusion
These findings suggest that, in addition to individual clinician efforts, there are organization-level factors that affect consistent provision of communication accommodations across the full range of communication disabilities. Future research should investigate these factors and test targeted implementation strategies to promote equitable access to health care for all patients with communication disabilities.
{"title":"How Health Care Organizations Are Implementing Disability Accommodations for Effective Communication: A Qualitative Study","authors":"","doi":"10.1016/j.jcjq.2024.05.003","DOIUrl":"10.1016/j.jcjq.2024.05.003","url":null,"abstract":"<div><h3>Background</h3><p>Prior studies have documented that, despite federal mandates, clinicians infrequently provide accommodations that enable equitable health care<span> engagement for patients with communication disabilities. To date, there has been a paucity of empirical research describing the organizational approach to implementing these accommodations. The authors asked US health care organizations how they were delivering these accommodations in the context of clinical care, what communication accommodations they provided, and what disability populations they addressed.</span></p></div><div><h3>Methods</h3><p><span>In this study, 19 qualitative interviews were conducted with disability coordinators representing 15 US </span>health care organizations actively implementing communication accommodations. A conventional qualitative content analysis approach was used to code the data and derive themes.</p></div><div><h3>Results</h3><p>The authors identified three major themes related to how US health care organizations are implementing the provision of this service: (1) Operationalizing the delivery of communication accommodations in health care required executive leadership support and preparatory work at clinic and organization levels; (2) The primary focus of communication accommodations was sign language interpreter services<span> for Deaf patients and, secondarily, other hearing- and visual-related accommodations; and (3) Providing communication accommodations for patients with speech and language and cognitive disabilities was less frequent, but when done involved more than providing a single aid or service.</span></p></div><div><h3>Conclusion</h3><p>These findings suggest that, in addition to individual clinician efforts, there are organization-level factors that affect consistent provision of communication accommodations across the full range of communication disabilities. Future research should investigate these factors and test targeted implementation strategies to promote equitable access to health care for all patients with communication disabilities.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":"50 9","pages":"Pages 664-672"},"PeriodicalIF":2.3,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141045696","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}