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Quality Improvement Commons

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Full-Text Articles in Quality Improvement

Determinants Of Patient Satisfaction In An Academic Primary Care Setting: A Cross-Sectional Study Of The Postpandemic Era, Alvin Maliakal, Rajita Kanapareddy, Zooha Altaf, Janani Anbazhagan, Kristin Olson, Cynthia Avila, Rehan Qayyum Jan 2026

Determinants Of Patient Satisfaction In An Academic Primary Care Setting: A Cross-Sectional Study Of The Postpandemic Era, Alvin Maliakal, Rajita Kanapareddy, Zooha Altaf, Janani Anbazhagan, Kristin Olson, Cynthia Avila, Rehan Qayyum

Department of Medicine Faculty Publications

Background

Patient satisfaction, a key indicator of healthcare quality, is associated with improved adherence, continuity, and outcomes. However, limited evidence describes determinants of patient satisfaction in contemporary primary care settings reflecting the postpandemic era, when care delivery models and patient expectations have evolved substantially.

Objective

To evaluate the sociodemographic and clinical factors associated with patient satisfaction in an academic primary care setting following the postpandemic era.

Methods

We conducted a cross-sectional survey of adult patients (≥18 years) attending a primary care clinic. Participants completed a self-administered questionnaire including the Visit-Specific Satisfaction Questionnaire (VSQ-9) and measures of sociodemographic and clinical characteristics. …


Development And Implementation Of A Digital Quality Measure Of Emergency Cancer Diagnosis, Paarth Kapadia, Andrew J Zimolzak, Divvy K Upadhyay, Saritha Korukonda, Riyaa Murugaesh Rekha, Umair Mushtaq, Usman Mir, Daniel R Murphy, Alexis Offner, Gary A Abel, Georgios Lyratzopoulos, Luke T A Mounce, Hardeep Singh Jul 2024

Development And Implementation Of A Digital Quality Measure Of Emergency Cancer Diagnosis, Paarth Kapadia, Andrew J Zimolzak, Divvy K Upadhyay, Saritha Korukonda, Riyaa Murugaesh Rekha, Umair Mushtaq, Usman Mir, Daniel R Murphy, Alexis Offner, Gary A Abel, Georgios Lyratzopoulos, Luke T A Mounce, Hardeep Singh

Faculty, Staff and Students Publications

PURPOSE: Missed and delayed cancer diagnoses are common, harmful, and often preventable. Automated measures of quality of cancer diagnosis are lacking but could identify gaps and guide interventions. We developed and implemented a digital quality measure (dQM) of cancer emergency presentation (EP) using electronic health record databases of two health systems and characterized the measure's association with missed opportunities for diagnosis (MODs) and mortality.

METHODS: On the basis of literature and expert input, we defined EP as a new cancer diagnosis within 30 days after emergency department or inpatient visit. We identified EPs for lung cancer and colorectal cancer (CRC) …


Longitudinal Program Evaluation Of An Inter-Institutional Mentorship Network For Pediatric Rheumatology Using A Quality Improvement Framework, Kristen Hayward, Alexi Grom, Eyal Muscal, Peter A Nigrovic, Kelly A Rouster-Stevens, Kaveh Ardalan, Linda Hiraki, L Nandini Moorthy Jul 2024

Longitudinal Program Evaluation Of An Inter-Institutional Mentorship Network For Pediatric Rheumatology Using A Quality Improvement Framework, Kristen Hayward, Alexi Grom, Eyal Muscal, Peter A Nigrovic, Kelly A Rouster-Stevens, Kaveh Ardalan, Linda Hiraki, L Nandini Moorthy

Faculty, Staff and Students Publications

BACKGROUND: The American College of Rheumatology (ACR)/Childhood Arthritis and Rheumatology Research Alliance (CARRA) Mentoring Interest Group (AMIGO) is an inter-institutional mentorship program launched to target mentorship gaps within pediatric rheumatology. Initial program evaluation indicated increased mentorship access. Given the small size of the pediatric rheumatology workforce, maintaining a consistent supply of mentors was a potential threat to the longevity of the network. Our aims were to: (i) describe the sustainability of AMIGO over the period 2011-2018, (ii) highlight ongoing benefits to participants, and (iii) describe challenges in the maintenance of a mentorship network.

METHODS: A mixed-methods approach centered on a …


An Electronic Health Record Model For Predicting Risk Of Hepatic Fibrosis In Primary Care Patients, Aaron P Thrift, Theresa H Nguyen Wenker, Kyler Godwin, Maya Balakrishnan, Hao T Duong, Rohit Loomba, Fasiha Kanwal, Hashem B El-Serag Jul 2024

An Electronic Health Record Model For Predicting Risk Of Hepatic Fibrosis In Primary Care Patients, Aaron P Thrift, Theresa H Nguyen Wenker, Kyler Godwin, Maya Balakrishnan, Hao T Duong, Rohit Loomba, Fasiha Kanwal, Hashem B El-Serag

Faculty, Staff and Students Publications

BACKGROUND: One challenge for primary care providers caring for patients with nonalcoholic fatty liver disease is to identify those at the highest risk for clinically significant liver disease.

AIM: To derive a risk stratification tool using variables from structured electronic health record (EHR) data for use in populations which are disproportionately affected with obesity and diabetes.

METHODS: We used data from 344 participants who underwent Fibroscan examination to measure liver fat and liver stiffness measurement [LSM]. Using two approaches, multivariable logistic regression and random forest classification, we assessed risk factors for any hepatic fibrosis (LSM > 7 kPa) and significant hepatic …


Insurance Coverage During Transitions: Evidence From Medicaid Automatic Enrollment For Children Receiving Supplemental Security Income, Stephanie Rennane, Danielle Sobol, Bradley D Stein, Andrew Dick Jun 2024

Insurance Coverage During Transitions: Evidence From Medicaid Automatic Enrollment For Children Receiving Supplemental Security Income, Stephanie Rennane, Danielle Sobol, Bradley D Stein, Andrew Dick

Faculty, Staff and Student Publications

OBJECTIVES: To analyze relationships between Medicaid automatic enrollment for child Supplemental Security Income (SSI) recipients and health insurance coverage during transitions.

DATA SOURCES AND STUDY SETTING: Medical Expenditure Panel Study, 2000-2020 and National Survey for Children with Special Health Care Needs, 2001-2010.

STUDY DESIGN: Leveraging variation in SSI-Medicaid automatic enrollment status across regions and over time, we estimate a regression model to quantify associations between automatic enrollment and insurance coverage. We validate our findings in the NS-CSHCN.

DATA COLLECTION: Our sample includes children receiving SSI for a disability. We also analyze a subsample of children newly enrolled in SSI.

PRINCIPAL …


Screening For Food And Nutrition Insecurity In The Healthcare Setting: A Cross-Sectional Survey Of Non-Medicaid Insured Adults In An Integrated Healthcare Delivery System, Carmen Byker Shanks, Nancy P Gordon Jan 2024

Screening For Food And Nutrition Insecurity In The Healthcare Setting: A Cross-Sectional Survey Of Non-Medicaid Insured Adults In An Integrated Healthcare Delivery System, Carmen Byker Shanks, Nancy P Gordon

Faculty, Staff and Student Publications

OBJECTIVES: Healthcare screening identifies factors that impact patient health and well-being. Hunger as a Vital Sign (HVS) is widely applied as a screening tool to assess food security. However, there are no common practice screening questions to identify patients who are nutrition insecure or acquire free food from community-based organizations. This study used self-reported survey data from a non-Medicaid insured adult population approximately one year after the start of the COVID-19 pandemic (2021). The survey examined the extent to which the HVS measure might have under-estimated population-level food insecurity and/or nutrition insecurity, as well as under-identified food and nutrition insecurity …


Case Sampling Vs Universal Review For Evaluating Hospital Postoperative Mortality In Us Surgical Quality Improvement Programs, Vivi W Chen, Alexis P Chidi, Tracey Rosen, Yongquan Dong, Peter A Richardson, Jennifer Kramer, David A Axelrod, Laura A Petersen, Nader N Massarweh Dec 2023

Case Sampling Vs Universal Review For Evaluating Hospital Postoperative Mortality In Us Surgical Quality Improvement Programs, Vivi W Chen, Alexis P Chidi, Tracey Rosen, Yongquan Dong, Peter A Richardson, Jennifer Kramer, David A Axelrod, Laura A Petersen, Nader N Massarweh

Faculty, Staff and Students Publications

IMPORTANCE: Representative surgical case sampling, rather than universal review, is used by US Department of Veterans Affairs (VA) and private-sector national surgical quality improvement (QI) programs to assess program performance and to inform local QI and performance improvement efforts. However, it is unclear whether case sampling is robust for identifying hospitals with safety or quality concerns.

OBJECTIVE: To evaluate whether the sampling strategy used by several national surgical QI programs provides hospitals with data that are representative of their overall quality and safety, as measured by 30-day mortality.

DESIGN, SETTING, AND PARTICIPANTS: This comparative effectiveness study was a national, hospital-level …


Risk-Adjusted Cumulative Sum For Early Detection Of Hospitals With Excess Perioperative Mortality, Vivi W Chen, Alexis P Chidi, Yongquan Dong, Peter A Richardson, David A Axelrod, Laura A Petersen, Nader N Massarweh Nov 2023

Risk-Adjusted Cumulative Sum For Early Detection Of Hospitals With Excess Perioperative Mortality, Vivi W Chen, Alexis P Chidi, Yongquan Dong, Peter A Richardson, David A Axelrod, Laura A Petersen, Nader N Massarweh

Faculty, Staff and Students Publications

IMPORTANCE: National surgical quality improvement programs lack tools for early detection of quality or safety concerns, which risks patient safety because of delayed recognition of poor performance.

OBJECTIVE: To compare the risk-adjusted cumulative sum (CUSUM) with episodic evaluation for early detection of hospitals with excess perioperative mortality.

DESIGN, SETTING, AND PARTICIPANTS: National, observational, hospital-level, comparative effectiveness study of 697 566 patients. Identification of hospitals with excess, risk-adjusted, quarterly 30-day mortality using observed to expected ratios (ie, current criterion standard in the Veterans Affairs Surgical Quality Improvement Program) was compared with the risk-adjusted CUSUM. Patients included in the study underwent a …


Quality Improvement Initiative To Improve Time And Adherence To Revaccination After Hematopoietic Cell Transplantation: Implementation Of A Revaccination Clinic Within The Transplantation Program, Caitlin Elgarten, Anne Wohlschlaeger, Ellen Levy, Katharine Tadley, Lei Wang, Megan Atkinson, Houston Roberson, Timothy Olson, Nancy Bunin, Jennifer Heimall, Brian Fisher, Stephan Grupp, Jason Freedman Oct 2023

Quality Improvement Initiative To Improve Time And Adherence To Revaccination After Hematopoietic Cell Transplantation: Implementation Of A Revaccination Clinic Within The Transplantation Program, Caitlin Elgarten, Anne Wohlschlaeger, Ellen Levy, Katharine Tadley, Lei Wang, Megan Atkinson, Houston Roberson, Timothy Olson, Nancy Bunin, Jennifer Heimall, Brian Fisher, Stephan Grupp, Jason Freedman

Faculty, Staff and Students Publications

Background:

Revaccination after hematopoietic cell transplantation (HCT) is critical to prevent morbidity and mortality from vaccine preventable illnesses. While earlier re-vaccination after HCT is desirable, they may be ineffective if deployed before partial reconstitution of adaptive immunity. Increasingly, personalized approaches to re-vaccination after HCT have replaced time-based protocols in order to minimize unvaccinated time and enhance vaccine effectiveness. Furthermore, for revaccination to be maximally beneficial, compliance with, and timely delivery of the complete revaccination schedule is imperative, but rare, and there is little data on strategies to optimize vaccine delivery.

Objectives:

The global aim of our quality improvement initiative was …


Limitations Of Telemedicine Vs. Face-To-Face Eye Examination In A Patient With New Headaches, Joseph Hallak, Od, Danielle Kalberer, Od Apr 2023

Limitations Of Telemedicine Vs. Face-To-Face Eye Examination In A Patient With New Headaches, Joseph Hallak, Od, Danielle Kalberer, Od

Optometric Clinical Practice

Background: During the emergence and rise of COVID-19, precaution directives and limitations on in-person eye examinations re-routed a significant portion of care to telemedicine and virtual modalities. While these technologies allowed for healthcare communications that otherwise could not occur during such trying times, there are major limitations to these sanctioned applications. This report will present a seemingly benign case that could have easily been re-routed from an in-person examination to a telemedicine version due to the patient’s seemingly “routine” vision complaints.

Case Report: A 50-year-old male patient contacted the eye clinic with a complaint of a minor, new, unexplained headache …


Analysis Of An Antibiotic Stewardship Program For Asymptomatic Bacteriuria In The Veterans Affairs Health Care System, Larissa Grigoryan, Aanand D Naik, Paola Lichtenberger, Christopher J Graber, Payal K Patel, Dimitri M Drekonja, Timothy P Gauthier, Bhavarth Shukla, Anne E Sales, Sarah L Krein, John N Van, Laura M Dillon, Sylvia J Hysong, Jennifer R Kramer, Annette Walder, David Ramsey, Barbara W Trautner Jul 2022

Analysis Of An Antibiotic Stewardship Program For Asymptomatic Bacteriuria In The Veterans Affairs Health Care System, Larissa Grigoryan, Aanand D Naik, Paola Lichtenberger, Christopher J Graber, Payal K Patel, Dimitri M Drekonja, Timothy P Gauthier, Bhavarth Shukla, Anne E Sales, Sarah L Krein, John N Van, Laura M Dillon, Sylvia J Hysong, Jennifer R Kramer, Annette Walder, David Ramsey, Barbara W Trautner

Faculty, Staff and Students Publications

IMPORTANCE: Antibiotic stewardship for asymptomatic bacteriuria (ASB) is an important quality improvement target. Understanding how to implement successful antibiotic stewardship interventions is limited.

OBJECTIVE: To evaluate the effectiveness of a quality improvement stewardship intervention on reducing unnecessary urine cultures and antibiotic use in patients with ASB.

DESIGN, SETTING, AND PARTICIPANTS: This interrupted time series quality improvement study was performed at the acute inpatient medical and long-term care units of 4 intervention sites and 4 comparison sites in the Veterans Affairs (VA) health care system from October 1, 2017, through April 30, 2020. Participants included the clinicians who order or collect …


Characterizing Cancer And Covid-19 Outcomes Using Electronic Health Records, Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang Jan 2022

Characterizing Cancer And Covid-19 Outcomes Using Electronic Health Records, Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang

Faculty, Staff and Student Publications

PURPOSE: Patients with cancer often have compromised immune system which can lead to worse COVID-19 outcomes. The purpose of this study is to assess the association between COVID-19 outcomes and existing cancer-specific characteristics.

PATIENTS AND METHODS: Patients aged 18 or older with laboratory-confirmed COVID-19 between June 1, 2020, and December 31, 2020, were identified (n = 314 004) from the Optum® de-identified COVID-19 Electronic Health Record (EHR) derived from more than 700 hospitals and 7000 clinics in the United States. To allow sufficient observational time, patients with less than one year of medical history in the EHR dataset before their …


Development And Validation Of Machine Learning-Based Race-Specific Models To Predict 10-Year Risk Of Heart Failure: A Multicohort Analysis, Matthew W Segar, Byron C Jaeger, Kershaw V Patel, Vijay Nambi, Chiadi E Ndumele, Adolfo Correa, Javed Butler, Alvin Chandra, Colby Ayers, Shreya Rao, Alana A Lewis, Laura M Raffield, Carlos J Rodriguez, Erin D Michos, Christie M Ballantyne, Michael E Hall, Robert J Mentz, James A De Lemos, Ambarish Pandey Jun 2021

Development And Validation Of Machine Learning-Based Race-Specific Models To Predict 10-Year Risk Of Heart Failure: A Multicohort Analysis, Matthew W Segar, Byron C Jaeger, Kershaw V Patel, Vijay Nambi, Chiadi E Ndumele, Adolfo Correa, Javed Butler, Alvin Chandra, Colby Ayers, Shreya Rao, Alana A Lewis, Laura M Raffield, Carlos J Rodriguez, Erin D Michos, Christie M Ballantyne, Michael E Hall, Robert J Mentz, James A De Lemos, Ambarish Pandey

Faculty, Staff and Students Publications

BACKGROUND: Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling techniques to develop race-specific HF risk prediction models and to elucidate important contributors of HF development across races.

METHODS: We performed a retrospective analysis of 4 large, community cohort studies (ARIC [Atherosclerosis Risk in Communities], DHS [Dallas Heart Study], JHS [Jackson Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) with adjudicated HF events. …


Regional Variations In Heart Failure Quality And Outcomes: Get With The Guidelines-Heart Failure Registry, Luke C Cunningham, Gregg C Fonarow, Clyde W Yancy, Shubin Sheng, Roland A Matsouaka, Adam D Devore, Hani Jneid, Anita Deswal Apr 2021

Regional Variations In Heart Failure Quality And Outcomes: Get With The Guidelines-Heart Failure Registry, Luke C Cunningham, Gregg C Fonarow, Clyde W Yancy, Shubin Sheng, Roland A Matsouaka, Adam D Devore, Hani Jneid, Anita Deswal

Faculty, Staff and Students Publications

Background

Regional patient characteristics, care quality, and outcomes may differ based on a variety of factors among patients hospitalized for heart failure (HF). Regional disparities in outcomes of cardiovascular disease have been suggested across various regions in the United States. This study examined whether there are significant differences by region in quality of care and short‐term outcomes of hospitalized patients with HF across the United States.

Methods and Results

We examined regional demographics, quality measures, and short‐term outcomes across 4 US Census Bureau regions in patients hospitalized with HF and enrolled in the GWTG‐HF (Get With The Guidelines–Heart Failure) registry …


Inferior St-Elevation Myocardial Infarction Presenting When Urgent Primary Percutaneous Coronary Intervention Is Unavailable: Should We Adhere To Current Guidelines?, Yochai Birnbaum, Glenn N Levine, John French, Juan Carlos Kaski, Dan Atar, Mahboob Alam, David Hasdai, Hani Jneid, Barry F Uretsky Dec 2020

Inferior St-Elevation Myocardial Infarction Presenting When Urgent Primary Percutaneous Coronary Intervention Is Unavailable: Should We Adhere To Current Guidelines?, Yochai Birnbaum, Glenn N Levine, John French, Juan Carlos Kaski, Dan Atar, Mahboob Alam, David Hasdai, Hani Jneid, Barry F Uretsky

Faculty, Staff and Students Publications

The pivotal studies that led to the recommendations for emergent reperfusion therapy for ST-elevation myocardial infarction (STEMI) were conducted for the most part over 25 years ago. At that time, contemporary standard treatments including aspirin, statin, and even anticoagulation were not commonly used. The 2013 American College of Cardiology Foundation (ACCF)/American Heart Association (AHA) guidelines and the 2017 European Society of Cardiology guidelines give a class I recommendation (with the level of evidence A) for primary percutaneous coronary intervention (pPCI) in patients with STEMI and ischemic symptoms of less than 12 h. However, if the patient presents to a hospital …