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Featured researches published by Daniel P. Schauer.


Journal of General Internal Medicine | 2008

The Ambulatory Long-Block: An Accreditation Council for Graduate Medical Education (ACGME) Educational Innovations Project (EIP)

Eric J. Warm; Daniel P. Schauer; Tiffiny Diers; Bradley R. Mathis; Yvette Neirouz; James R. Boex; Gregory W. Rouan

IntroductionHistorical bias toward service-oriented inpatient graduate medical education experiences has hindered both resident education and care of patients in the ambulatory setting.AimDescribe and evaluate a residency redesign intended to improve the ambulatory experience for residents and patients.SettingCategorical Internal Medicine resident ambulatory practice at the University of Cincinnati Academic Health Center.Program DescriptionWe created a year-long continuous ambulatory group-practice experience separated from traditional inpatient responsibilities called the long block as an Accreditation Council for Graduate Medical Education Educational Innovations Project. The practice adopted the Chronic Care Model and residents received extensive instruction in quality improvement and interprofessional teams.Program EvaluationThe long block was associated with significant increases in resident and patient satisfaction as well as improvement in multiple quality process and outcome measures. Continuity and no-show rates also improved.DiscussionAn ambulatory long block can be associated with improvements in resident and patient satisfaction, quality measures, and no-show rates. Future research should be done to determine effects of the long block on education and patient care in the long term, and elucidate which aspects of the long block most contribute to improvement.


Journal of General Internal Medicine | 2014

Entrustment and Mapping of Observable Practice Activities for Resident Assessment

Eric J. Warm; Bradley R. Mathis; Justin D. Held; Savita Pai; Jonathan Tolentino; Lauren Ashbrook; Cheryl Lee; David W. Lee; Sharice Wood; Carl J. Fichtenbaum; Daniel P. Schauer; Ryan Munyon; Caroline Mueller

ABSTRACTEntrustable Professional Activities (EPAs) and the Next Accreditation System reporting milestones reduce general competencies into smaller evaluable parts. However, some EPAs and reporting milestones may be too broad to use as direct assessment tools. We describe our internal medicine residency curriculum and assessment system, which uses entrustment and mapping of observable practice activities (OPAs) for resident assessment. We created discrete OPAs for each resident rotation and learning experience. In combination, these serve as curricular foundation and tools for assessment. OPA performance is measured via a 5-point entrustment scale, and mapped to milestones and EPAs. Entrustment ratings of OPAs provide an opportunity for immediate structured feedback of specific clinical skills, and mapping OPAs to milestones and EPAs can be used for longitudinal assessment, promotion decisions, and reporting. Direct assessment and demonstration of progressive entrustment of trainee skill over time are important goals for all training programs. Systems that use OPAs mapped to milestones and EPAs provide the opportunity for achieving both, but require validation.


Journal of General Internal Medicine | 2005

Psychosocial Risk Factors for Adverse Outcomes in Patients with Nonvalvular Atrial Fibrillation Receiving Warfarin

Daniel P. Schauer; Charles J. Moomaw; Mark L. Wess; Thomas Webb; Mark H. Eckman

OBJECTIVE: Our goal was to establish whether psychosocial risk factors for nonadherence, previously identified as negative predictors of warfarin prescribing, are predictors of adverse events for patients with nonvalvular atrial fibrillation receiving warfarin.DESIGN: Retrospective cohort analysis.SETTING: Ohio Medicaid administrative database.PATIENTS: We studied Ohio Medicaid recipients with nonvalvular atrial fibrillation receiving warfarin to determine whether a history of substance abuse, psychiatric illness, or social factors (identified as conditions perceived to be barriers to adherence) are predictors of adverse events, including stroke, intracranial hemorrhage, and gastrointestinal bleeding. Multivariable risk ratios were calculated for each risk factor using Cox proportional hazards models.RESULTS: 9,345 patients were identified as having nonvalvular atrial fibrillation and receiving 2 or more warfarin prescriptions between 1997 and 2002. The event rates for the sample as a whole were 1.5 strokes, 0.7 intracranial hemorrhages, and 4.3 gastrointestinal bleeds per 100 person-years of follow-up. Subjects with substance abuse had the highest adjusted risk ratio, 2.4 (95% confidence interval [CI]: 1.4, 4.0) for an intracranial hemorrhage while receiving warfarin, followed by subjects with psychiatric illness, adjusted risk ratio of 1.5 (95% CI: 1.04, 2.1). Subjects with psychiatric illness also had an adjusted risk ratio of 1.4 (95% CI: 1.1, 1.7) for stroke. Patients in all 3 identified risk groups were at a significantly increased risk of gastrointestinal bleeding.CONCLUSION: Patients with nonvalvular atrial fibrillation treated with warfarin who have psychosocial risk factors for nonadherence have an increased risk of adverse events.


Archives of Surgery | 2010

Decision Modeling to Estimate the Impact of Gastric Bypass Surgery on Life Expectancy for the Treatment of Morbid Obesity

Daniel P. Schauer; David Arterburn; Edward H. Livingston; David R. Fischer; Mark H. Eckman

OBJECTIVE To create a decision analytic model to estimate the balance between treatment risks and benefits for patients with morbid obesity. DESIGN Decision analytic Markov state transition model with multiple logistic regression models as inputs. Data from the 2005 National Inpatient Survey were used to calculate in-hospital mortality risk associated with bariatric surgery and then adjusted for 30-day mortality. To calculate excess mortality associated with obesity, we used the 1991-1996 National Health Interview Survey linked to the National Death Index. Bariatric surgery was assumed to influence mortality only through its impact on the excess mortality associated with obesity, and the efficacy of surgery was estimated from a recent large observational trial. INTERVENTION Gastric bypass surgery. Main Outcome Measure Life expectancy. RESULTS Our base case, a 42-year-old woman with a body mass index of 45, gained an additional 2.95 years of life expectancy with bariatric surgery. No surgical treatment was favored in our base case when the 30-day surgical mortality exceeded 9.5% (baseline 30-day mortality, 0.2%) or when the efficacy of bariatric surgery for reducing mortality decreased to 2% or less (baseline efficacy, 53%). CONCLUSIONS The optimal decision for individual patients varies based on the balance of risk between perioperative mortality, excess annual mortality risk associated with increasing body mass index, and the efficacy of surgery; however, for the average morbidly obese patient, gastric bypass improves life expectancy.


American Journal of Emergency Medicine | 2009

Cost-effectiveness analysis of ED decision making in patients with non-high-risk heart failure

Sean P. Collins; Daniel P. Schauer; Amit K. Gupta; Hermine I. Brunner; Alan B. Storrow; Mark H. Eckman

BACKGROUND The ED disposition of patients with non-high-risk acute decompensated heart failure (ADHF) is challenging. To help address this problem, we investigated the cost-effectiveness of different ED disposition strategies. METHODS We constructed a decision analytic model evaluating the cost-effectiveness of 3 possible ED ADHF disposition strategies in a 60-year-old man: (1) discharge home from the ED; (2) observation unit (OU) admission; (3) inpatient admission. Base case patients had no high-risk features. We used Medicare costs and the national physician fee schedule to capture ED, OU, and hospital costs, including costs of complications and death. All analyses were conducted using Decision Maker software (University of Medicine and Dentistry of New Jersey, Newark, NJ). RESULTS Compared to ED discharge, OU admission had a reasonable marginal cost-effectiveness ratio (


Annals of Surgery | 2015

Impact of bariatric surgery on life expectancy in severely obese patients with diabetes: A Decision analysis

Daniel P. Schauer; David Arterburn; Edward H. Livingston; Karen J. Coleman; Steve Sidney; David Fisher; Patrick OʼConnor; David R. Fischer; Mark H. Eckman

44 249/quality adjusted life year), whereas hospital admission had an unacceptably high marginal cost-effectiveness ratio (


Journal of General Internal Medicine | 2008

Application of a Decision Support Tool for Anticoagulation in Patients with Non-valvular Atrial Fibrillation

Mark L. Wess; Daniel P. Schauer; Joseph A. Johnston; Charles J. Moomaw; David E. Brewer; E. Francis Cook; Mark H. Eckman

684 101/quality adjusted life year). Sensitivity analyses demonstrated that as the risk of early (within 5 days) and late (within 30 days) readmission exceeded 36% and 74%, respectively, in those discharged from the ED, OU admission became less costly and more effective than ED discharge. Similarly, an increase in relative risk of both early and late death in those discharged from the ED improves the marginal cost-effectiveness ratio of OU admission. Finally, as postdischarge event rates increase in those discharged from the OU, hospital admission became more cost-effective. CONCLUSION Observation unit admission for patients with non-high-risk ADHF has a societally acceptable marginal cost-effectiveness ratio compared to ED discharge. However, as ED and OU discharge event rates increase, hospital admission becomes the more cost-effective strategy.


Current Medical Research and Opinion | 2015

Developing an Atrial Fibrillation Guideline Support Tool (AFGuST) for shared decision making

Mark H. Eckman; Ruth E. Wise; Katherine Naylor; Lora Arduser; Gregory Y.H. Lip; Brett Kissela; Matthew L. Flaherty; Dawn Kleindorfer; Faisal Khan; Daniel P. Schauer; John R. Kues; Alexandru Costea

OBJECTIVE To create a decision analytic model to estimate the balance between treatment risks and benefits for severely obese patients with diabetes. BACKGROUND Bariatric surgery leads to many desirable metabolic changes, but long-term impact of bariatric surgery on life expectancy in patients with diabetes has not yet been quantified. METHODS We developed a Markov state transition model with multiple Cox proportional hazards models and logistic regression models as inputs to compare bariatric surgery versus no surgical treatment for severely obese diabetic patients. The model is informed by data from 3 large cohorts: (1) 159,000 severely obese diabetic patients (4185 had bariatric surgery) from 3 HMO Research Network sites; (2) 23,000 subjects from the Nationwide Inpatient Sample; and (3) 18,000 subjects from the National Health Interview Survey linked to the National Death Index. RESULTS In our main analyses, we found that a 45-year-old woman with diabetes and a body mass index (BMI) of 45 kg/m gained an additional 6.7 years of life expectancy with bariatric surgery (38.4 years with surgery vs 31.7 years without surgery). Sensitivity analyses revealed that the gain in life expectancy decreased with increasing BMI, until a BMI of 62 kg/m is reached, at which point nonsurgical treatment was associated with greater life expectancy. Similar results were seen for both men and women in all age groups. CONCLUSIONS For most severely obese patients with diabetes, bariatric surgery seems to improve life expectancy; however, surgery may reduce life expectancy for the super obese with BMIs over 62 kg/m.


American Journal of Respiratory and Critical Care Medicine | 2010

Screening for lymphangioleiomyomatosis by high-resolution computed tomography in young, nonsmoking women presenting with spontaneous pneumothorax is cost-effective.

Jared T. Hagaman; Daniel P. Schauer; Francis X. McCormack; Brent W. Kinder

BackgroundAtrial fibrillation affects more than two million Americans and results in a fivefold increased rate of embolic strokes. The efficacy of adjusted dose warfarin is well documented, yet many patients are not receiving treatment consistent with guidelines. The use of a patient-specific computerized decision support tool may aid in closing the knowledge gap regarding the best treatment for a patient.MethodsThis retrospective, observational cohort analysis of 6,123 Ohio Medicaid patients used a patient-specific computerized decision support tool that automated the complex risk–benefit analysis for anticoagulation. Adverse outcomes included acute stroke, major gastrointestinal bleeding, and intracranial hemorrhage. Cox proportional hazards models were developed to compare the group of patients who received warfarin treatment with those who did not receive warfarin treatment, stratified by the decision support tool’s recommendation.ResultsOur decision support tool recommended warfarin for 3,008 patients (49%); however, only 9.9% received warfarin. In patients for whom anticoagulation was recommended by the decision support tool, there was a trend towards a decreased hazard for stroke with actual warfarin treatment (hazard ratio 0.90) without significant increase in gastrointestinal hemorrhage (0.87). In contrast, in patients for whom the tool recommended no anticoagulation, receipt of warfarin was associated with statistically significant increased hazard of gastrointestinal bleeding (1.54, p = 0.03).ConclusionsWe have shown that our atrial fibrillation decision support tool is a useful predictor of those at risk of major bleeding for whom anticoagulation may not necessarily be beneficial. It may aid in weighing the benefits versus risks of anticoagulation treatment.


Annals of the American Thoracic Society | 2017

Chest Computed Tomographic Image Screening for Cystic Lung Diseases in Patients with Spontaneous Pneumothorax Is Cost Effective

Nishant Gupta; Dale Langenderfer; Francis X. McCormack; Daniel P. Schauer; Mark H. Eckman

Abstract Objective: Patient values and preferences are an important component to decision making when tradeoffs exist that impact quality of life, such as tradeoffs between stroke prevention and hemorrhage in patients with atrial fibrillation (AF) contemplating anticoagulant therapy. Our objective is to describe the development of an Atrial Fibrillation Guideline Support Tool (AFGuST) to assist the process of integrating patients’ preferences into this decision. Materials and methods: CHA2DS2VASc and HAS-BLED were used to calculate risks for stroke and hemorrhage. We developed a Markov decision analytic model as a computational engine to integrate patient-specific risk for stroke and hemorrhage and individual patient values for relevant outcomes in decisions about anticoagulant therapy. Results: Individual patient preferences for health-related outcomes may have greater or lesser impact on the choice of optimal antithrombotic therapy, depending upon the balance of patient-specific risks for ischemic stroke and major bleeding. These factors have been incorporated into patient-tailored booklets which, along with an informational video, were developed through an iterative process with clinicians and patient focus groups. Key limitations: Current risk prediction models for hemorrhage, such as the HAS-BLED, used in the AFGuST, do not incorporate all potentially significant risk factors. Novel oral anticoagulant agents recently approved for use in the United States, Canada, and Europe have not been included in the AFGuST. Rather, warfarin has been used as a conservative proxy for all oral anticoagulant therapy. Conclusions: We present a proof of concept that a patient-tailored decision-support tool could bridge the gap between guidelines and practice by incorporating individual patient’s stroke and bleeding risks and their values for major bleeding events and stroke to facilitate a shared decision making process. If effective, the AFGuST could be used as an adjunct to published guidelines to enhance patient-centered conversations about the anticoagulation management.

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Mark H. Eckman

University of Cincinnati

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Eric J. Warm

University of Cincinnati Academic Health Center

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Shimul A. Shah

University of Cincinnati Academic Health Center

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Tayyab S. Diwan

University of Cincinnati Academic Health Center

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Bradley R. Mathis

University of Cincinnati Academic Health Center

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Brent W. Kinder

University of Cincinnati Academic Health Center

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Ruth E. Wise

University of Cincinnati

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