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Dive into the research topics where Manish N. Shah is active.

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Featured researches published by Manish N. Shah.


BMJ Quality & Safety | 2016

Our current approach to root cause analysis: is it contributing to our failure to improve patient safety?

Kathryn M Kellogg; Zach Hettinger; Manish N. Shah; Robert L. Wears; Craig R. Sellers; Melissa Squires; Rollin J. Fairbanks

Background Despite over a decade of efforts to reduce the adverse event rate in healthcare, the rate has remained relatively unchanged. Root cause analysis (RCA) is a process used by hospitals in an attempt to reduce adverse event rates; however, the outputs of this process have not been well studied in healthcare. This study aimed to examine the types of solutions proposed in RCAs over an 8-year period at a major academic medical institution. Methods All state-reportable adverse events were gathered, and those for which an RCA was performed were analysed. A consensus rating process was used to determine a severity rating for each case. A qualitative approach was used to categorise the types of solutions proposed by the RCA team in each case and descriptive statistics were calculated. Results 302 RCAs were reviewed. The most common event types involved a procedure complication, followed by cardiopulmonary arrest, neurological deficit and retained foreign body. In 106 RCAs, solutions were proposed. A large proportion (38.7%) of RCAs with solutions proposed involved a patient death. Of the 731 proposed solutions, the most common solution types were training (20%), process change (19.6%) and policy reinforcement (15.2%). We found that multiple event types were repeated in the study period, despite repeated RCAs. Conclusions This study found that the most commonly proposed solutions were weaker actions, which were less likely to decrease event recurrence. These findings support recent attempts to improve the RCA process and to develop guidance for the creation of effective and sustainable solutions to be used by RCA teams.


Journal of the American Geriatrics Society | 2016

Effect of Geriatric-Specific Trauma Triage Criteria on Outcomes in Injured Older Adults: A Statewide Retrospective Cohort Study.

Jeffrey M. Caterino; Nicole V. Brown; Maya W. Hamilton; Brian Ichwan; Salman Khaliqdina; David C. Evans; Subrahmanyan Darbha; Ashish R. Panchal; Manish N. Shah

To evaluate the effect on outcomes of the Ohio Department of Public Safety statewide geriatric triage criteria, established in 2009 for emergency medical services (EMS) to use for injured individuals aged 70 and older.


Academic Emergency Medicine | 2017

Minimizing Attrition for Multisite Emergency Care Research

Bret A. Nicks; Manish N. Shah; David H. Adler; Aveh Bastani; Christopher W. Baugh; Jeffrey M. Caterino; Carol L. Clark; Deborah B. Diercks; Judd E. Hollander; Susan Malveau; Daniel K. Nishijima; Kirk A. Stiffler; Alan B. Storrow; Scott T. Wilber; Annick N. Yagapen; Benjamin C. Sun

Loss to follow-up of enrolled patients (a.k.a. attrition) is a major threat to study validity and power. Minimizing attrition can be challenging even under ideal research conditions, including the presence of adequate funding, experienced study personnel, and a refined research infrastructure. Emergency care research is shifting toward enrollment through multisite networks, but there have been limited descriptions of approaches to minimize attrition for these multicenter emergency care studies. This concept paper describes a stepwise approach to minimize attrition, using a case example of a multisite emergency department prospective cohort of over 3,000 patients that has achieved a 30-day direct phone follow-up attrition rate of <3%. The seven areas of approach to minimize attrition in this study focused on patient selection, baseline contact data collection, patient incentives, patient tracking, central phone banks, local enrollment site assistance, and continuous performance monitoring. Appropriate study design, including consideration of these methods to reduce attrition, will be time well spent and may improve study validity.


Academic Emergency Medicine | 2016

Shared Decision Making to Improve the Emergency Care of Older Adults: A Research Agenda

Teresita M. Hogan; Natalie L. Richmond; Christopher R. Carpenter; Kevin Biese; Ula Hwang; Manish N. Shah; Marcus Escobedo; Amy Berman; Joshua Broder; Timothy F. Platts-Mills

Older emergency department patients have high rates of serious illness and injury, are at high risk for side effects and adverse events from treatments and diagnostic tests, and in many cases, have nuanced goals of care in which pursuing the most aggressive approach is not desired. Although some forms of shared decision making (SDM) are commonly practiced by emergency physicians caring for older adults, broader use of SDM in this setting is limited by a lack of knowledge of the types of patients and conditions for which SDM is most helpful and the approaches and tools that can best facilitate this process. We describe a research agenda to generate new knowledge to optimize the use of SDM during the emergency care of older adults.


Academic Emergency Medicine | 2016

Reliability of clinical assessments in older adults with syncope or near syncope

Daniel K. Nishijima; Amber Laurie; Robert E. Weiss; Annick N. Yagapen; Susan Malveau; David H. Adler; Aveh Bastani; Christopher W. Baugh; Jeffrey M. Caterino; Carol L. Clark; Deborah B. Diercks; Judd E. Hollander; Bret A. Nicks; Manish N. Shah; Kirk A. Stiffler; Alan B. Storrow; Scott T. Wilber; Benjamin C. Sun; Erik P. Hess

OBJECTIVES Clinical prediction models for risk stratification of older adults with syncope or near syncope may improve resource utilization and management. Predictors considered for inclusion into such models must be reliable. Our primary objective was to evaluate the inter-rater agreement of historical, physical examination, and electrocardiogram (ECG) findings in older adults undergoing emergency department (ED) evaluation for syncope or near syncope. Our secondary objective was to assess the level of agreement between clinicians on the patients overall risk for death or serious cardiac outcomes. METHODS We conducted a cross-sectional study at 11 EDs in adults 60 years of age or older who presented with unexplained syncope or near syncope. We excluded patients with a presumptive cause of syncope (e.g., seizure) or if they were unable or unwilling to follow-up. Evaluations of the patients past medical history and current medication use were completed by treating provider and trained research associate pairs. Evaluations of the patients physical examination and ECG interpretation were completed by attending/resident, attending/advanced practice provider, or attending/attending pairs. All evaluations were blinded to the responses from the other rater. We calculated the percent agreement and kappa statistic for binary variables. Inter-rater agreement was considered acceptable if the kappa statistic was 0.6 or higher. RESULTS We obtained paired observations from 255 patients; mean (±SD) age was 73 (±9) years, 137 (54%) were male, and 204 (80%) were admitted to the hospital. Acceptable agreement was achieved in 18 of the 21 (86%) past medical history and current medication findings, none of the 10 physical examination variables, and three of the 13 (23%) ECG interpretation variables. There was moderate agreement (Spearman correlation coefficient, r = 0.40) between clinicians on the patients probability of 30-day death or serious cardiac outcome, although as the probability increased, there was less agreement. CONCLUSIONS Acceptable agreement between raters was more commonly achieved with historical rather than physical examination or ECG interpretation variables. Clinicians had moderate agreement in assessing the patients overall risk for a serious outcome at 30 days. Future development of clinical prediction models in older adults with syncope should account for variability of assessments between raters and consider the use of objective clinical variables.


Annals of Emergency Medicine | 2017

ECG Predictors of Cardiac Arrhythmias in Older Adults With Syncope

Daniel K. Nishijima; Amber Lin; Robert E. Weiss; Annick N. Yagapen; Susan Malveau; David H. Adler; Aveh Bastani; Christopher W. Baugh; Jeffrey M. Caterino; Carol L. Clark; Deborah B. Diercks; Judd E. Hollander; Bret A. Nicks; Manish N. Shah; Kirk A. Stiffler; Alan B. Storrow; Scott T. Wilber; Benjamin C. Sun

Study objective: Cardiac arrhythmia is a life‐threatening condition in older adults who present to the emergency department (ED) with syncope. Previous work suggests the initial ED ECG can predict arrhythmia risk; however, specific ECG predictors have been variably specified. Our objective is to identify specific ECG abnormalities predictive of 30‐day serious cardiac arrhythmias in older adults presenting to the ED with syncope. Methods: We conducted a prospective, observational study at 11 EDs in adults aged 60 years or older who presented with syncope or near syncope. We excluded patients with a serious cardiac arrhythmia diagnosed during the ED evaluation from the primary analysis. The outcome was occurrence of 30‐day serous cardiac arrhythmia. The exposure variables were predefined ECG abnormalities. Independent predictors were identified through multivariate logistic regression. The sensitivities and specificities of any predefined ECG abnormality and any ECG abnormality identified on adjusted analysis to predict 30‐day serious cardiac arrhythmia were also calculated. Results: After exclusion of 197 patients (5.5%; 95% confidence interval [CI] 4.7% to 6.2%) with serious cardiac arrhythmias in the ED, the study cohort included 3,416 patients. Of these, 104 patients (3.0%; 95% CI 2.5% to 3.7%) had a serious cardiac arrhythmia within 30 days from the index ED visit (median time to diagnosis 2 days [interquartile range 1 to 5 days]). The presence of nonsinus rhythm, multiple premature ventricular conductions, short PR interval, first‐degree atrioventricular block, complete left bundle branch block, and Q wave/T wave/ST‐segment abnormalities consistent with acute or chronic ischemia on the initial ED ECG increased the risk for a 30‐day serious cardiac arrhythmia. This combination of ECG abnormalities had a similar sensitivity in predicting 30‐day serious cardiac arrhythmia compared with any ECG abnormality (76.9% [95% CI 67.6% to 84.6%] versus 77.9% [95% CI 68.7% to 85.4%]) and was more specific (55.1% [95% CI 53.4% to 56.8%] versus 46.6% [95% CI 44.9% to 48.3%]). Conclusion: In older ED adults with syncope, approximately 3% receive a diagnosis of a serious cardiac arrhythmia not recognized on initial ED evaluation. The presence of specific abnormalities on the initial ED ECG increased the risk for 30‐day serious cardiac arrhythmias.


Annals of Emergency Medicine | 2017

A Consensus-Driven Agenda for Emergency Medicine Firearm Injury Prevention Research

Megan L. Ranney; Jonathan Fletcher; Harrison J. Alter; Christopher Barsotti; Vikhyat S. Bebarta; Marian E. Betz; Patrick M. Carter; Magdalena Cerdá; Rebecca M. Cunningham; Peter W. Crane; Jahan Fahimi; Matthew J. Miller; Ali Rowhani-Rahbar; Jody A. Vogel; Garen J. Wintemute; Muhammad Waseem; Manish N. Shah; Christopher E. Barsotti; Jesse Borke; Edwin D. Boudreaux; Kathleen Brown; Bianca Frisby; Eric W. Fleegler; B. Geyer; Stephen Y. Liang; Robert E. O'Connor; Andrew V. Papachristos; Frederick P. Rivara; Jeffrey G. Swanson

Study objective To identify critical emergency medicine–focused firearm injury research questions and develop an evidence‐based research agenda. Methods National content experts were recruited to a technical advisory group for the American College of Emergency Physicians Research Committee. Nominal group technique was used to identify research questions by consensus. The technical advisory group decided to focus on 5 widely accepted categorizations of firearm injury. Subgroups conducted literature reviews on each topic and developed preliminary lists of emergency medicine–relevant research questions. In‐person meetings and conference calls were held to iteratively refine the extensive list of research questions, following nominal group technique guidelines. Feedback from external stakeholders was reviewed and integrated. Results Fifty‐nine final emergency medicine–relevant research questions were identified, including questions that cut across all firearm injury topics and questions specific to self‐directed violence (suicide and attempted suicide), intimate partner violence, peer (nonpartner) violence, mass violence, and unintentional (“accidental”) injury. Some questions could be addressed through research conducted in emergency departments; others would require work in other settings. Conclusion The technical advisory group identified key emergency medicine–relevant firearm injury research questions. Emergency medicine–specific data are limited for most of these questions. Funders and researchers should consider increasing their attention to firearm injury prevention and control, particularly to the questions identified here and in other recently developed research agendas.


Western Journal of Emergency Medicine | 2017

Estimating the cost of care for emergency department syncope patients: Comparison of three models

Marc A. Probst; John K. McConnell; Robert E. Weiss; Amber Laurie; Annick N. Yagapen; Michelle P. Lin; Jeffrey M. Caterino; Manish N. Shah; Benjamin C. Sun

Introduction We sought to compare three hospital cost-estimation models for patients undergoing evaluation for unexplained syncope using hospital cost data. Developing such a model would allow researchers to assess the value of novel clinical algorithms for syncope management. Methods We collected complete health services data, including disposition, testing, and length of stay (LOS), on 67 adult patients (age 60 years and older) who presented to the emergency department (ED) with syncope at a single hospital. Patients were excluded if a serious medical condition was identified. We created three hospital cost-estimation models to estimate facility costs: V1, unadjusted Medicare payments for observation and/or hospital admission; V2: modified Medicare payment, prorated by LOS in calendar days; and V3: modified Medicare payment, prorated by LOS in hours. Total hospital costs included unadjusted Medicare payments for diagnostic testing and estimated facility costs. We plotted these estimates against actual cost data from the hospital finance department, and performed correlation and regression analyses. Results Of the three models, V3 consistently outperformed the others with regard to correlation and goodness of fit. The Pearson correlation coefficient for V3 was 0.88 (95% confidence interval [CI] 0.81, 0.92) with an R-square value of 0.77 and a linear regression coefficient of 0.87 (95% CI 0.76, 0.99). Conclusion Using basic health services data, it is possible to accurately estimate hospital costs for older adults undergoing a hospital-based evaluation for unexplained syncope. This methodology could help assess the potential economic impact of implementing novel clinical algorithms for ED syncope.


Academic Emergency Medicine | 2018

Outcomes of Patients with Syncope and Suspected Dementia.

Timothy R. Holden; Manish N. Shah; Tommy A. Gibson; Robert E. Weiss; Annick N. Yagapen; Susan Malveau; David H. Adler; Aveh Bastani; Christopher W. Baugh; Jeffrey M. Caterino; Carol L. Clark; Deborah B. Diercks; Judd E. Hollander; Bret A. Nicks; Daniel K. Nishijima; Kirk A. Stiffler; Alan B. Storrow; Scott T. Wilber; Benjamin C. Sun

OBJECTIVES Syncope and near-syncope are common in patients with dementia and a leading cause of emergency department (ED) evaluation and subsequent hospitalization. The objective of this study was to describe the clinical trajectory and short-term outcomes of patients who presented to the ED with syncope or near-syncope and were assessed by their ED provider to have dementia. METHODS This multisite prospective cohort study included patients 60 years of age or older who presented to the ED with syncope or near-syncope between 2013 and 2016. We analyzed a subcohort of 279 patients who were identified by the treating ED provider to have baseline dementia. We collected comprehensive patient-level, utilization, and outcomes data through interviews, provider surveys, and chart abstraction. Outcome measures included serious conditions related to syncope and death. RESULTS Overall, 221 patients (79%) were hospitalized with a median length of stay of 2.1 days. A total of 46 patients (16%) were diagnosed with a serious condition in the ED. Of the 179 hospitalized patients who did not have a serious condition identified in the ED, 14 (7.8%) were subsequently diagnosed with a serious condition during the hospitalization, and an additional 12 patients (6.7%) were diagnosed postdischarge within 30 days of the index ED visit. There were seven deaths (2.5%) overall, none of which were cardiac-related. No patients who were discharged from the ED died or had a serious condition in the subsequent 30 days. CONCLUSIONS Patients with perceived dementia who presented to the ED with syncope or near-syncope were frequently hospitalized. The diagnosis of a serious condition was uncommon if not identified during the initial ED assessment. Given the known iatrogenic risks of hospitalization for patients with dementia, future investigation of the impact of goals of care discussions on reducing potentially preventable, futile, or unwanted hospitalizations while improving goal-concordant care is warranted.


Journal of the American Geriatrics Society | 2017

Using Chief Complaint in Addition to Diagnosis Codes to Identify Falls in the Emergency Department

Brian W. Patterson; Maureen A. Smith; Michael D. Repplinger; Michael S. Pulia; James E. Svenson; Michael K. Kim; Manish N. Shah

To compare incidence of falls in an emergency department (ED) cohort using a traditional International Classification of Diseases, Ninth Revision (ICD‐9) code–based scheme and an expanded definition that included chief complaint information and to examine the clinical characteristics of visits “missed” in the ICD‐9‐based scheme.

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Brian W. Patterson

University of Wisconsin-Madison

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Christopher W. Baugh

Brigham and Women's Hospital

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Deborah B. Diercks

University of Texas Southwestern Medical Center

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