Janet H Van Cleave

Faculty

Janet Helen Van Cleave headshot

Janet H Van Cleave

MBA PhD

Assistant Professor

1 212 992 7340
Accepting PhD students

Janet H Van Cleave's additional information

Janet Helen Van Cleave, PhD, is an assistant professor at NYU Rory Meyers College of Nursing. Her program of research is focused on symptom science and mHealth technology use in cancer. She is an oncology nurse and nurse scientist whose career goal is to improve the quality of care for patients with cancer.

Van Cleave developed the Electronic Patient Visit Assessment (ePVA)© for head and neck cancer for early detection and intervention for debilitating symptoms. Her program of research has received both federal and foundation funding. She has published in high-impact scientific journals and online magazines like WIRED.

Among her many awards, she received the Poster of Distinction by the International Federation of Head and Neck Oncologic Societies and the 2014 CANCER NURSING Research Award. She was a fellow of the American Psychosocial Oncology Society Conference in New Orleans, LA.

Van Cleave received her PhD from Yale University and completed post-doctoral training at the NewCourtland Center for Transitions and Health at the University of Pennsylvania School of Nursing. She earned her MS and BS in nursing from the University of Pennsylvania.

Post-Doctoral Research Fellow - University of Pennsylvania (2010)
PhD - Yale University (2008)
MSN - University of Pennsylvania (1995)
BSN - University of Pennsylvania (Summa Cum Laude, 1994)
Diploma of Nursing - St. Luke’s Hospital School of Nursing (1983)
MBA - University of Kansas (1978)
BA - Kansas State University (1976)

Gerontology

Academy Health
American Psychosocial Oncology Society
Gerontological Society of America
International Association for the Study of Pain
Oncology Nursing Society

Faculty Honors Awards

Mayday Pain & Society Fellowship, The Mayday Fund (2019)
ENRS/Nursing Research Authorship Award, Eastern Nursing Research Society (2017)
Poster of Distinction, International Federation of Head and Neck Oncologic Societies (2014)
Fellowship, American Psychosocial Oncology Society Conference, New Orleans, LA (2010)
Scholarship, 8th National Conference on Cancer Nursing Research, John A. Harford Foundation Policy Leadership Institute Oncology Nursing Society/American Cancer Society (2009)
Outstanding Colleague, Mount Sinai Medical Center (2004)
Best Article, Oncology Nursing Society Special Interest Group Newsletter Editor (2004)
Nominee, Clinical Excellence Award, Mount Sinai Medical Center (2002)
Unit Recognition Award for Special Clinics, Philadelphia Veterans Affairs Medical Center (2000)
Health Professional Scholarship, Department of Veterans Affairs (1994)
Sigma Theta Tau, University of Pennsylvania School of Nursing (1994)
Joan Ethel Huebner Award for High GPA, University of Pennsylvania School of Nursing (1994)

Publications

Data Quality of Automated Comorbidity Lists in Patients With Mental Health and Substance Use Disorders

Woersching, J., Van Cleave, J. H., Egleston, B., Ma, C., Haber, J., & Chyun, D. (2022). CIN - Computers Informatics Nursing, 40(7), 497-505. 10.1097/CIN.0000000000000889
Abstract
Abstract
EHRs provide an opportunity to conduct research on underrepresented oncology populations with mental health and substance use disorders. However, a lack of data quality may introduce unintended bias into EHR data. The objective of this article is describe our analysis of data quality within automated comorbidity lists commonly found in EHRs. Investigators conducted a retrospective chart review of 395 oncology patients from a safety-net integrated healthcare system. Statistical analysis included κ coefficients and a condition logistic regression. Subjects were racially and ethnically diverse and predominantly used Medicaid insurance. Weak κ coefficients (κ = 0.2-0.39, P <.01) were noted for drug and alcohol use disorders indicating deficiencies in comorbidity documentation within the automated comorbidity list. Further, conditional logistic regression analyses revealed deficiencies in comorbidity documentation in patients with drug use disorders (odds ratio, 11.03; 95% confidence interval, 2.71-44.9; P =.01) and psychoses (odds ratio, 0.04; confidence interval, 0.02-0.10; P <.01). Findings suggest deficiencies in automatic comorbidity lists as compared with a review of provider narrative notes when identifying comorbidities. As healthcare systems increasingly use EHR data in clinical studies and decision making, the quality of healthcare delivery and clinical research may be affected by discrepancies in the documentation of comorbidities.

Self-efficacy in managing post-treatment care among oral and oropharyngeal cancer survivors

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An integrative review on factors contributing to fear of cancer recurrence among young adult breast cancer survivors

Gormley, M., Ghazal, L., Fu, M. R., Van Cleave, J. H., Knobf, T., & Hammer, M. (2021). Cancer Nursing, 45(1), E10-E26. 10.1097/NCC.0000000000000858
Abstract
Abstract
Background: Fear of cancer recurrence (FCR) is the most prevalent need among breast cancer survivors. Age is the most consistent predictor of higher FCR, with prevalence rates as high as 70% among young adults. Although the association between age and higher FCR is well established, a more comprehensive understanding of the factors contributing to higher FCR among young adult breast cancer survivors is needed. Objective: The purpose of this integrative review was to explore the factors associated with higher FCR among young adult breast cancer survivors (≤ 45 years old). Methods: A literature search was conducted using PubMed, CINAHL, PsycINFO, and EMBASE databases with specific Medical Subject Headings terms delimited to FCR, diagnosis, sex, and age range. The initial search yielded 378 studies, 13 of which met the eligibility criteria. Results: Themes include motherhood status, health behaviors and decision making (eg, surveillance behaviors and surgical decision making), psychological morbidity, and social support. Cognitive behavioral factors include cognitive processing, metacognition, illness intrusiveness, and self-efficacy. Conclusion: Fear of cancer recurrence among young adult breast cancer survivors is a unique construct requiring further exploration and tailored interventions to improve the health-related quality of life for this population. Implications for Practice: Oncology nurses should screen all cancer survivors for FCR, with particular attention to the unique needs of young adults. Future research should address the role of age-appropriate support and increased levels of FCR during surveillance periods.

A Scoping Review of Nursing's Contribution to the Management of Patients with Pain and Opioid Misuse

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The usefulness of the Electronic Patient Visit Assessment (ePVA)© as a clinical support tool for real-time interventions in head and neck cancer

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Multidimensional Pain Assessment Tools for Ambulatory and Inpatient Nursing Practice

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The development, usability, and reliability of the Electronic Patient Visit Assessment (ePVA) for head and neck cancer

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The Effect of Glucose Levels Prior to Hematopoietic Cell Transplantation on Post-Transplant Complications and Health Resource Utilization

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The Experience of Being Aware of Disease Status in Women with Recurrent Ovarian Cancer: A Phenomenological Study

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Mental health and substance use disorders in patients diagnosed with cancer: An integrative review of healthcare utilization

Woersching, J., Van Cleave, J. H., Haber, J., & Chyun, D. (2019). Oncology Nursing Forum, 46(3), 365-383. 10.1188/19.ONF.365-383
Abstract
Abstract
PROBLEM IDENTIFICATION: The impact of mental health disorders (MHDs) and substance use disorders (SUDs) on healthcare utilization (HCU) in patients with cancer is an understudied phenomenon. LITERATURE SEARCH: A literature search of studies published prior to January 2018 that examined HCU in patients with preexisting MHDs or SUDs diagnosed with cancer was conducted. DATA EVALUATION: The research team evaluated 22 studies for scientific rigor and examined significant trends in HCU, as well as types of the MHD, SUD, and cancer studied. SYNTHESIS: The heterogeneity of HCU outcome measures, MHD, SUD, sample sizes, and study settings contributed to inconsistent study findings. However, study trends indicated higher rates of HCU by patients with depression and lower rates of HCU by patients with schizophrenia. In addition, the concept of HCU measures is evolving, addressing not only volume of health services, but also quality and efficacy. IMPLICATIONS FOR RESEARCH: Oncology nurses are essential to improving HCU in patients with MHDs and SUDs because of their close connections with patients throughout the stages of cancer care. Additional prospective studies are needed to examine specific MHDs and different types of SUDs beyond alcohol use, improving cancer care and the effectiveness of HCU in this vulnerable population.

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