About

Grace Kanzawa-Lee, Ph.D., BSN, RN, is a Clinical Assistant Professor in the Department of Health Behavior and Clinical Sciences at the University of Michigan School of Nursing. Her program of research is focused on enhancing patient safety, comfort, and survivorship during active cancer treatment. Her scholarship has centered on multimodal pain and symptom management, exercise therapy to combat the effects of immobility and optimize outcomes during active cancer treatment, and the improvement of cancer treatment protocol safety and interprofessional evidence-based care. She has conducted studies testing interventions such as home-based aerobic walking for chemotherapy-induced peripheral neuropathy in gastrointestinal cancer survivors, incorporating motivational interviewing to facilitate home-based exercise. Dr. Kanzawa-Lee has also collaborated on research related to innovative and interprofessional educational strategies in both classroom and experiential settings. She is actively involved in research projects funded by various grants, including initiatives aimed at promoting evidence-based practice in chemotherapy management and therapeutic nursing care. In addition to her research, she has taught undergraduate and graduate nursing courses, mentored students and clinicians, and contributed to professional organizations such as Sigma Theta Tau International, the Oncology Nursing Society, and the American College of Sports Medicine. Her work emphasizes the importance of diverse teaching methods, fostering an inclusive and engaging learning environment, and encouraging student creativity and collaboration.

Research topics

• Medicine
• Physical therapy
• Internal medicine
• Oncology
• Intensive care medicine

Selected publications

• ICE volume 44 issue 8 Cover and Front matter

  Infection Control and Hospital Epidemiology · 2023

  • Environmental science
  • Geology
  • Engineering

  An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

  PublisherOA PDFDOI

• Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program

  JAMIA Open · 2023 · 27 citations

  • Computer Science
  • Medicine
  • Computer Science

  Objectives: Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. Materials and Methods: = 6545) SARS-CoV-2 infection. We used a tree-based scan statistic to identify potential condition clusters co-occurring more frequently in cases than controls. Results: We found significant enrichment among children with PASC in cardiac, respiratory, neurologic, psychological, endocrine, gastrointestinal, and musculoskeletal systems, the most significant related to circulatory and respiratory such as dyspnea, difficulty breathing, and fatigue and malaise. Discussion: Our study addresses methodological limitations of prior studies that rely on prespecified clusters of potential PASC-associated diagnoses driven by clinician experience. Future studies are needed to identify patterns of diagnoses and their associations to derive clinical phenotypes. Conclusion: We identified multiple conditions and body systems associated with pediatric PASC. Because we rely on a data-driven approach, several new or under-reported conditions and symptoms were detected that warrant further investigation.

  PublisherOA PDFDOI

• Tackling prediction uncertainty in machine learning for healthcare

  Nature Biomedical Engineering · 2022 · 105 citations

  • Machine Learning
  • Computer Science
  • Machine Learning
  PublisherDOI

• Two chemoattenuated PfSPZ malaria vaccines induce sterile hepatic immunity

  Nature · 2021 · 113 citations

  • Virology
  • Medicine
  • Immunology
  DOI

• The association of acculturative stress with self-reported sleep disturbance and sleep duration among Asian Americans

  SLEEP · 2021 · 30 citations

  • Psychology
  • Clinical psychology
  • Medicine

  STUDY OBJECTIVES: This study aims to examine associations between acculturative stress-defined as the psychological impact, or stress reaction, of adapting to a new cultural context-and self-reported sleep outcomes among Chinese and Korean immigrants in the United States. METHODS: In this cross-sectional study, acculturative stress was assessed using a 9-item scale, and sleep disturbance was measured using the 8-item scale. Sleep duration was self-reported. Poisson and linear regression analyses were conducted to examine the associations between acculturative stress, sleep disturbance, and sleep duration. RESULTS: Our sample consists of 400 participants (females: 52%, Chinese: 50%, Koreans: 50%, the mean of age = 58.4). 81.8% of them were classified as having no sleep disturbance, whereas 18.2% were classified as having sleep disturbance. Poisson models revealed that greater acculturative stress was associated with a higher prevalence of sleep disturbance (Prevalence Ratio (PR): 1.18, 95% confidence interval (CI): 1.06% to 1.31%). In linear models, a one-unit increase in acculturative stress was associated with 0.08 hr less sleep (p < .05). Interaction tests indicated effect modification for sleep disturbance by sex and ethnic identity: only women had a significant association between acculturative stress and sleep disturbance (PR: 1.30; 95% CI: 1.13 to 1.49), while the association was significant for individuals identifying as "very Asian" (PR: 1.21; 95% CI: 1.08 to 1.35), but not for those identifying as "mostly Asian" or "bicultural/western". CONCLUSIONS: If findings are replicated, we suggest developing intervention programs for Asian immigrants to minimize acculturative stress and bolster protective factors that decrease the risk for poor sleep outcomes.Information on Clinical Trial: Name: Screening To Prevent ColoRectal Cancer (STOP CRC) among At-Risk Asian American Primary Care Patients NCT Number: NCT03481296 URL: https://clinicaltrials.gov/ct2/show/NCT03481296?term=Sunmin+Lee&draw=2&rank=1.

  DOI

• A functional genomics screen identifying blood cell development genes in<i>Drosophila</i>by undergraduates participating in a course-based research experience

  G3 Genes Genomes Genetics · 2021 · 13 citations

  • Biology
  • Computational biology
  • Genetics

  Undergraduate students participating in the UCLA Undergraduate Research Consortium for Functional Genomics (URCFG) have conducted a two-phased screen using RNA interference (RNAi) in combination with fluorescent reporter proteins to identify genes important for hematopoiesis in Drosophila. This screen disrupted the function of approximately 3500 genes and identified 137 candidate genes for which loss of function leads to observable changes in the hematopoietic development. Targeting RNAi to maturing, progenitor, and regulatory cell types identified key subsets that either limit or promote blood cell maturation. Bioinformatic analysis reveals gene enrichment in several previously uncharacterized areas, including RNA processing and export and vesicular trafficking. Lastly, the participation of students in this course-based undergraduate research experience (CURE) correlated with increased learning gains across several areas, as well as increased STEM retention, indicating that authentic, student-driven research in the form of a CURE represents an impactful and enriching pedagogical approach.

  DOI

Frequent coauthors

• Elizabeth Smith

  University of Miami

  19 shared

• Celia M. Bridges

  University of Alabama at Birmingham

  19 shared

• Robert Knoerl

  University of Michigan–Ann Arbor

  18 shared

• Janet L. Larson

  University of Michigan–Ann Arbor

  10 shared

• John C. Krauss

  University of Michigan–Ann Arbor

  7 shared

• Ellen M. Lavoie Smith

  University of Alabama at Birmingham

  6 shared

• Gloria Smith

  Michigan Medicine

  6 shared

• Robert Ploutz‐Snyder

  University of Michigan–Ann Arbor

  6 shared

Labs

• University of Michigan School of Nursing - Department of Health Behavior and Clinical SciencesPI

Education

• PhD, School of Nursing

  University of Michigan

  2020

• BSN, School of Nursing

  University of Michigan

  2015

Awards & honors

• IPE Innovation Award, Michigan Center for IPE, 2024
• Rising Star Award, Sigma Theta Tau Rho Chapter, 2020
• Denny Hoelzer Sentinel Technologies Doctoral Scholarship in…
• New Investigator Award, University of Michigan School of Nur…
• Hillman Scholarship, Rita and Alex Hillman Foundation, 2013-…

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