Quality Improvement Commons^™

Assessing The State Of Obesity Care: Quality, Access, Guidelines, And Standards, Lee M Kaplan, Caroline M Apovian, Jamy D Ard, David B Allison, Louis J Aronne, Rachel L Batterham, Luca Busetto, Dror Dicker, Deborah B Horn, Aaron S Kelly, Jeffrey I Mechanick, Jonathan Q Purnell, Ximena Ramos-Salas, Assessing The State Of Obesity Care Writing Group

Faculty, Staff and Student Publications

BACKGROUND: An international panel of obesity medicine experts from multiple professional organizations examined patterns of obesity care and current obesity treatment guidelines to identify areas requiring updating in response to emerging science and clinical evidence.

AIMS: The panel focused on multiple medical health and societal issues influencing effective treatment of obesity and identified several unmet needs in the definition, assessment, and care of obesity.

METHODS: The panel was held in Leesburg, Virginia in September 2019.

RESULTS: The panelists recommended addressing these unmet needs in obesity medicine through research, education, evaluation of delivery and payment of care, and updating clinical practice …

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 …

Risk Evaluation In Occupational Safety And Health Research: Results From A Benchmarking Exercise Of Federal And Academic Irbs, Sarah A Felknor, Jessica M K Streit, Angela M Morley, John D Piacentino

Faculty, Staff and Student Publications

OBJECTIVE: Research involving working populations can pose unique ethical and risk evaluation challenges. The purpose of this benchmarking project was to assess how federal agencies and academic institutions approach the interpretation and application of key risk evaluation concepts in research involving workers in their places of employment.

METHODS: Key informant interviews were conducted to ascertain current practices related to assessing soundness of research design, determining risk reasonableness and research relatedness of risks, and evaluating the risk of noninvasive clinical tests in occupational settings.

RESULTS: There were noteworthy commonalities among the approaches described to review and address critical aspects of risk …

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 …

Preparing Healthcare Education For An Ai-Augmented Future, Jiajie Zhang, Susan H Fenton

Faculty, Staff and Student Publications

Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed of the human brain, which remains relatively unchanged, and AI-based knowledge and cognitive functions, which have accelerated exponentially in scale and power. Education must focus on developing skills to collaborate with AI and on achieving outcomes like problems solved and discoveries made. Curriculum and education policies also need to adapt to this transformation.

Victory Out Of Tragedy: Organ Donation, Ali Salim, Bryan A Cotton

Faculty, Staff and Student Publications

Major improvements in trauma care during the last decade have improved survival rates in the severely injured. The unintended consequence is the presentation of patients with non-survivable injuries in a time frame in which intervention is considered and often employed due to prognostic uncertainty. In light of this, discerning survivability in these patients remains increasingly problematic. Evidence-based cut-points of futility can guide early decisions for discontinuing aggressive treatment and use of precious resources in severely injured patients arriving in extremis.

How Does Facilitation In Healthcare Work? Using Mechanism Mapping To Illuminate The Black Box Of A Meta-Implementation Strategy, Amy M Kilbourne, Elvin Geng, Ingrid Eshun-Wilson, Shannon Sweeney, Donna Shelley, Deborah J Cohen, Joann E Kirchner, Maria E Fernandez, Michael L Parchman

Faculty, Staff and Student Publications

BACKGROUND: Healthcare facilitation, an implementation strategy designed to improve the uptake of effective clinical innovations in routine practice, has produced promising yet mixed results in randomized implementation trials and has not been fully researched across different contexts.

OBJECTIVE: Using mechanism mapping, which applies directed acyclic graphs that decompose an effect of interest into hypothesized causal steps and mechanisms, we propose a more concrete description of how healthcare facilitation works to inform its further study as a meta-implementation strategy.

METHODS: Using a modified Delphi consensus process, co-authors developed the mechanistic map based on a three-step process. First, they developed an initial …

Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff

Faculty, Staff and Student Publications

Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.

A Scoping Review Of Digital Health Interventions For Combating Covid-19 Misinformation And Disinformation, Katarzyna Czerniak, Raji Pillai, Abhi Parmar, Kavita Ramnath, Joseph Krocker, Sahiti Myneni

Faculty, Staff and Student Publications

OBJECTIVE: We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.

MATERIALS AND METHODS: We applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.

RESULTS: The majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. …

Multisite Evaluation Of Prediction Models For Emergency Department Crowding Before And During The Covid-19 Pandemic, Ari J Smith, Brian W Patterson, Michael S Pulia, John Mayer, Rebecca J Schwei, Radha Nagarajan, Frank Liao, Manish N Shah, Justin J Boutilier

Faculty, Staff and Student Publications

OBJECTIVE: To develop a machine learning framework to forecast emergency department (ED) crowding and to evaluate model performance under spatial and temporal data drift.

MATERIALS AND METHODS: We obtained 4 datasets, identified by the location: 1-large academic hospital and 2-rural hospital, and time period: pre-coronavirus disease (COVID) (January 1, 2019-February 1, 2020) and COVID-era (May 15, 2020-February 1, 2021). Our primary target was a binary outcome that is equal to 1 if the number of patients with acute respiratory illness that were ED boarding for more than 4 h was above a prescribed historical percentile. We trained a random forest …

Fostering A High-Functioning Team In Cancer Care Using The 4r Oncology Model: Assessment In A Large Health System And A Blueprint For Other Institutions, Raymond Liu, Christine B Weldon, Elizabeth Linehan, Nancy Gordon, Thea Abbe, Marti Hennings, Henie James, Jed Katzel, Chun Ng, Megumi Tomita, Jeffrey B Velotta, Stephanie Ossowski, Lori C Sakoda, Sharon Likely Sprague, Anna Dowling, Kimberly Beringer, Arliene Ravelo, Elaine Yu, Julia R Trosman

Faculty, Staff and Student Publications

PURPOSE: Delivering cancer care by high-functioning multidisciplinary teams promises to address care fragmentation, which threatens care quality, affects patient outcomes, and strains the oncology workforce. We assessed whether the 4R Oncology model for team-based interdependent care delivery and patient self-management affected team functioning in a large community-based health system.

METHODS: 4R was deployed at four locations in breast and lung cancers and assessed along four characteristics of high-functioning teams: recognition as a team internally and externally; commitment to an explicit shared goal; enablement of interdependent work to achieve the goal; and engagement in regular reflection to adapt objectives and processes. …

Assessing The Most Vulnerable Subgroup To Type Ii Diabetes Associated With Statin Usage: Evidence From Electronic Health Record Data, Xinzhou Guo, Waverly Wei, Molei Liu, Tianxi Cai, Chong Wu, Jingshen Wang

Faculty, Staff and Student Publications

There have been increased concerns that the use of statins, one of the most commonly prescribed drugs for treating coronary artery disease, is potentially associated with the increased risk of new-onset Type II diabetes (T2D). Nevertheless, to date, there is no robust evidence supporting as to whether and what kind of populations are indeed vulnerable for developing T2D after taking statins. In this case study, leveraging the biobank and electronic health record data in the Partner Health System, we introduce a new data analysis pipeline and a novel statistical methodology that address existing limitations by (i) designing a rigorous causal …

Multimethod Process Evaluation Of A Community Paramedic Delivered Care Transitions Intervention For Older Emergency Department Patients, Gwen Costa Jacobsohn, Apoorva P Maru, Rebecca K Green, Angela N Gifford, Matthew D Lukasik, Tikiri Bandara, Thomas V Caprio, Amy L Cochran, Jeremy T Cushman, Courtney M C Jones, Amy J H Kind, Michael Lohmeier, Manish N Shah

Faculty, Staff and Student Publications

OBJECTIVE: We assessed fidelity of delivery and participant engagement in the implementation of a community paramedic coach-led Care Transitions Intervention (CTI) program adapted for use following emergency department (ED) visits.

METHODS: The adapted CTI for ED-to-home transitions was implemented at three university-affiliated hospitals in two cities from 2016 to 2019. Participants were aged ≥60 years old and discharged from the ED within 24 hours of arrival. In the current analysis, participants had to have received the CTI. Community paramedic coaches collected data on program delivery and participant characteristics at each transition contact via inventories and assessments. Participants provided commentary on …

Healthcare Utilization Among Infants Discharged From The Neonatal Intensive Care Unit: A Descriptive Cost Analysis, Nutan B Hebballi, Elenir Bc Avritscher, Elisa Garcia, Andrew Bain, Marisa A Bartz-Kurycki, Kuojen Tsao, Mary T Austin

Faculty, Staff and Student Publications

The cost of readmissions of neonatal intensive care unit (NICU) graduates within 6 months and a year of their life is well-studied. However, the cost of readmissions within 90 days of NICU discharge is unknown. This study's objective was to estimate the overall and mean cost of healthcare use for unplanned hospital visits of NICU graduates within 90 days of discharge A retrospective review of all infants discharged between 1/1/2017 and 03/31/2017 from a large hospital system NICUs was conducted. All unplanned hospital visits (readmissions or stand-alone emergency department (ED) visits) occurring within 90 days post NICU discharge were included. …

Assessment Of Disease Severity And Quality Of Life In Patients With Atopic Dermatitis From South Korea, Sang Wook Son, Ji Hyun Lee, Jiyoung Ahn, Sung Eun Chang, Eung Ho Choi, Tae Young Han, Yong Hyun Jang, Hye One Kim, Moon-Bum Kim, You Chan Kim, Hyun Chang Ko, Joo Yeon Ko, Sang Eun Lee, Yang Won Lee, Bark-Lynn Lew, Chan Ho Na, Chang Ook Park, Chun Wook Park, Kui Young Park, Kun Park, Young Lip Park, Joo Young Roh, Young-Joon Seo, Min Kyung Shin, Sujin Lee, Sang Hyun Cho

Faculty, Staff and Student Publications

BACKGROUND: Data illustrating the impact of atopic dermatitis (AD) on lives of adults with AD in South Korea are limited.

OBJECTIVE: To assess the AD disease severity and its impact on quality of life (QoL) in patients with AD from South Korea.

METHODS: Patients with AD utilizing the specialist dermatology services of major hospitals in South Korea were assessed for disease severity using Eczema Area and Severity Index (EASI) score, for QoL using Dermatology Life Quality Index (DLQI) (for QoL), and for comorbidities and treatment experience via retrospective review of 12-month medical records. Clinical and sociodemographic characteristics were also measured. …

Low Rates Of Structured Advance Care Planning Documentation In Electronic Health Records: Results Of A Single-Center Observational Study, Adela Wu, Robert J Huang, Gabriela Ruiz Colón, Chris Zembrzuski, Chirag B Patel

Faculty, Staff and Student Publications

BACKGROUND: Proper advance care planning (ACP) documentation both improves patient care and is increasingly seen as a marker of high quality by governmental payers. The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. At the same time, the complexity and heterogeneity of the EHR, as well as the multiple potential storage locations for documentation, may lead to confusion and inaccessibility. There has been movement to promote structured ACP (S-ACP) documentation within the EHR.

METHODS: We performed a retrospective cohort study at a single, large university …

Real-World Matching Performance Of Deidentified Record-Linking Tokens, Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin

Faculty, Staff and Student Publications

OBJECTIVE: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.

METHODS: This study compares tokens alone and token-based matching algorithms against manual annotation for 20,002 record pairs extracted from the University of Texas Houston's clinical data warehouse (CDW) in terms of entity resolution.

RESULTS: The highest precision achieved was 99.9% with a token derived from the first name, last name, gender, and date-of-birth. The highest recall achieved was 95.5% with an algorithm involving tokens that reflected combinations of first name, last name, gender, date-of-birth, and social security number.

DISCUSSION: To protect …

Assessment Of Electronic Health Record For Cancer Research And Patient Care Through A Scoping Review Of Cancer Natural Language Processing, Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz B Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L Warner, Hongfang Liu

Faculty, Staff and Student Publications

Purpose: The advancement of natural language processing (NLP) has promoted the use of detailed textual data in electronic health records (EHRs) to support cancer research and to facilitate patient care. In this review, we aim to assess EHR for cancer research and patient care by using the Minimal Common Oncology Data Elements (mCODE), which is a community-driven effort to define a minimal set of data elements for cancer research and practice. Specifically, we aim to assess the alignment of NLP-extracted data elements with mCODE and review existing NLP methodologies for extracting said data elements.

Methods: Published literature studies were searched …

The Technical Landscape For Patient-Centered Cds: Progress, Gaps, And Challenges, Prashila Dullabh, Krysta Heaney-Huls, David F Lobach, Lauren S Hovey, Shana F Sandberg, Priyanka J Desai, Edwin Lomotan, James Swiger, Michael I Harrison, Chris Dymek, Dean F Sittig, Aziz Boxwala

Faculty, Staff and Student Publications

Supporting healthcare decision-making that is patient-centered and evidence-based requires investments in the development of tools and techniques for dissemination of patient-centered outcomes research findings via methods such as clinical decision support (CDS). This article explores the technical landscape for patient-centered CDS (PC CDS) and the gaps in making PC CDS more shareable, standards-based, and publicly available, with the goal of improving patient care and clinical outcomes. This landscape assessment used: (1) a technical expert panel; (2) a literature review; and (3) interviews with 18 CDS stakeholders. We identified 7 salient technical considerations that span 5 phases of PC CDS development. …

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 …

A Qualitative Investigation Of Organizational Challenges And Facilitators To Screening Individuals Experiencing Homelessness For Hepatitis C Virus (Hcv) In Houston, Texas, Alane Celeste-Villalvir, J Michael Wilkerson, Christine Markham, Lourdes Rodriguez, Vanessa Schick

Faculty, Staff and Student Publications

BACKGROUND: Individuals experiencing homelessness may be at a disproportionately high risk for hepatitis C (HCV) because they may be more likely to engage in HCV risk behaviors. Community organizations that provide services to these vulnerable individuals can effectively screen, diagnose, and navigate them into HCV care. However, screening people experiencing homelessness for HCV at such organizations is limited by various challenges that remain understudied, including budgetary considerations and strategies to improve teamwork and communication. Accordingly, this study investigated the organizational challenges and facilitators to HCV screening of individuals experiencing homelessness as reported by homeless services providers.

METHODS: Staff (N = …