Jasmine Travers

Faculty

Jasmine Travers Headshot

Jasmine Travers

AGPCNP-BC CCRN PhD RN

Assistant Professor

1 212 992 7147

433 FIRST AVENUE
NEW YORK, NY 10010
United States

Accepting PhD students

Jasmine Travers's additional information

Jasmine L. Travers is an assistant professor of nursing at NYU Rory Meyers College of Nursing. Her career is dedicated to designing and conducting research to improve health outcomes and reduce health disparities in vulnerable older adult groups using both quantitative and qualitative approaches. Her current work focuses on mitigating disparities in appropriate access and use of in-home and facility-based long-term care for older adults (i.e., home & community-based settings, nursing homes, and assisted living). Currently, Travers is the principal investigator of a Robert Wood Johnson Foundation four-year Career Development Award through the Harold Amos Medical Faculty Development Program which she is examining the association of neighborhood disadvantage with nursing home outcomes using large-scale nursing home data and a Paul B. Beeson Emerging Leader five-year K76 Award through the National Institute on Aging which in this mixed-method study she will develop a survey instrument aimed to identify unmet needs that are disproportionately driving avoidable nursing home placements. Most recently, Travers served on the National Academies of Science Engineering and Medicine Committee on the Quality of Care in Nursing Homes which on April 6, 2022, released the widely anticipated report titled, The National Imperative to Improve Nursing Home Quality.

Travers has published widely on the topics of aging, long-term care, health disparities and inequities, workforce diversity and workforce issues, vaccinations, and infections. She has presented her work at regional and national health services research, gerontological, nursing, and public health conferences.

Prior to joining the faculty at NYU, Travers completed a postdoctoral fellowship with the National Clinician Scholars Program at Yale University and a T32-funded postdoctoral fellowship at the New Courtland Center for Transitions and Health at the University of Pennsylvania School of Nursing.

Travers received her Ph.D. at Columbia University School of Nursing, MHS at Yale University, MSN in Adult-Gerontological Health at Stony Brook University, and BSN at Adelphi University.

PhD, Columbia University
MSN, Stony Brook University
MHS, Yale University
BSN, Adelphi University

Gerontology
Underserved populations

Eastern Nursing Research Society
American Geriatrics Society
Gerontological Society of America
Academy Health

Faculty Honors Awards

Rising Star Research Award, Eastern Nursing Research Society (2022)
Health in Aging Foundation New Investigator Award, American Geriatrics Society (2022)
Committee Member, Committee on the Quality of Care in Nursing Homes, The National Academies of Sciences, Engineering, and Medicine (2020)
Scholar, National Clinician Scholars Program, Yale University (2020)
Early Career Alumni Award: Emerging Nurse Leader, Columbia University (2020)
Jonas Policy Scholar, American Academy of Nursing, Jonas Center for Nursing and Veterans Healthcare (2019)
Douglas Holmes Emerging Scholar Paper Award, Gerontological Society of America (2018)
Dean’s Distinguished Postdoctoral Fellow, University of Pennsylvania Vice Provost Office (2018)
Associate Fellow, Leonard Davis Institute of Health Economics, University of Pennsylvania (2018)
Awardee, 10 Under 10 Young Alumni Recognition, Adelphi University (2018)
Jonas Nurse Leader Scholar, Jonas Center for Nursing and Veterans Healthcare (2016)
Pre-Dissertation Student Research Award, The Behavioral & Social Sciences Section of The Gerontological Society of America (2016)

Publications

Relationships Among DNP and PhD Students After Implementing a Doctoral Student Organization

Failed retrieving data.

Do health information technology self-management interventions improve glycemic control in medically underserved adults with diabetes? A systematic review and meta-analysis

Heitkemper, E. M., Mamykina, L., Travers, J., & Smaldone, A. (2017). Journal of the American Medical Informatics Association, 24(5). 10.1093/jamia/ocx025
Abstract
Abstract
Objective: The purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients. Materials and Methods: Following an a priori protocol, 5 databases were searched. Studies were appraised for quality using the Cochrane Risk of Bias assessment. Studies reporting either hemoglobin A1c pre- and post-intervention or its change at 6 or 12 months were eligible for inclusion in themeta-analysis using random effectsmodels. Results: Thirteen studies met the criteria for the systematic review and 10 for the meta-analysis and represent data from 3257 adults with diabetes (mean age 55 years; 66% female; 74% racial/ethnic minorities). Most studies (n=10) reflected an unclear risk of bias. Interventions varied by HIT type: computer software without Internet (n=2), cellular/automated telephone (n=4), Internet-based (n=4), and telemedicine/telehealth (n=3). Pooled A1c decreases were found at 6 months (-0.36 (95% CI, -0.53 and -0.19]; I2=35.1%, Q=5.0), with diminishing effect at 12 months (-0.27 [95% CI, -0.49 and -0.04]; I2=42.4%, Q=10.4). Discussion: Findings suggest that medically underserved patients with diabetes achieve glycemic benefit following HIT DSME interventions, with dissipating but significant effects at 12 months. Telemedicine/telehealth interventions were the most successful HIT type because they incorporated interaction with educators similar to in-person DSME. Conclusion: These results are similar to in-person DSME in medically underserved patients, showing that welldesigned HIT DSME has the potential to increase access and improve outcomes for this vulnerable group.

The great American Recession and forgone healthcare: Do widened disparities between African-Americans and Whites remain?

Failed retrieving data.

Implementation of Electronic Health Records in US Nursing Homes

Bjarnadottir, R. I., Herzig, C. T., Travers, J. L., Castle, N. G., & Stone, P. W. (2017). CIN - Computers Informatics Nursing, 35(8), 417-424. 10.1097/CIN.0000000000000344
Abstract
Abstract
While electronic health records have emerged as promising tools to help improve quality of care, nursing homes have lagged behind in implementation. This study assessed electronic health records implementation, associated facility characteristics, and potential impact on quality indicators in nursing homes. Using national Centers for Medicare & Medicaid Services and survey data for nursing homes, a cross-sectional analysis was conducted to identify variations between nursing homes that had and had not implemented electronic health records. A difference-in-differences analysis was used to estimate the longitudinal effect of electronic health records on commonly used quality indicators. Data from 927 nursing homes were examined, 49.1% of which had implemented electronic health records. Nursing homes with electronic health records were more likely to be nonprofit/government owned (P =.04) and had a lower percentage of Medicaid residents (P =.02) and higher certified nursing assistant and registered nurse staffing levels (P =.002 and.02, respectively). Difference-in-differences analysis showed greater quality improvements after implementation for five long-stay and two short-stay quality measures (P =.001 and.01, respectively) compared with those who did not implement electronic health records. Implementation rates in nursing homes are low compared with other settings, and better-resourced facilities are more likely to have implemented electronic health records. Consistent with other settings, electronic health records implementation improves quality in nursing homes, but further research is needed to better understand the mechanism for improvement and how it can best be supported.

Influence of staff infection control training on infection-related quality measures in US nursing homes

Failed retrieving data.

Are School Nurses an Overlooked Resource in Reducing Childhood Obesity? A Systematic Review and Meta-Analysis

Failed retrieving data.

Factors associated with resident influenza vaccination in a national sample of nursing homes

Failed retrieving data.

A user-centered model for designing consumer mobile health (mHealth) applications (apps)

Failed retrieving data.

Does State Legislation Improve Nursing Workforce Diversity?

Failed retrieving data.

Infection prevention and control in nursing homes: A qualitative study of decision-making regarding isolation-based practices

Cohen, C. C., Pogorzelska-Maziarz, M., Herzig, C. T., Carter, E. J., Bjarnadottir, R., Semeraro, P., Travers, J. L., & Stone, P. W. (2015). BMJ Quality and Safety, 24(10), 630-636. 10.1136/bmjqs-2015-003952
Abstract
Abstract
Background Isolation-based practices in nursing homes (NHs) differ from those in acute care. NHs must promote quality of life while preventing infection transmission. Practices used in NHs to reconcile these goals of care have not been characterised. Purpose To explore decision-making in isolation-based infection prevention and control practices in NHs. Methods A qualitative study was conducted with staff (eg, staff nurses, infection prevention directors and directors of nursing) employed in purposefully sampled US NHs. Semistructured, role-specific interview guides were developed and interviews were digitally recorded, transcribed verbatim and analysed using directed content analysis. The research team discussed emerging themes in weekly meetings to confirm consensus. Results We inferred from 73 interviews in 10 NHs that there was variation between NHs in practices regarding who was isolated, when isolation-based practices took place, how they were implemented, and how they were tailored for each resident. Interviewees' decision-making depended on staff perceptions of acceptable transmission risk and resident quality of life. NH resources also influenced decision-making, including availability of private rooms, extent to which staff can devote time to isolation-based practices and communication tools. A lack of understanding of key infection prevention and control concepts was also revealed. Conclusions and implications Current clinical guidelines are not specific enough to ensure consistent practice that meets care goals and resource constraints in NHs. However, new epidemiological research regarding effectiveness of varying isolation practices in this setting is needed to inform clinical practice. Further, additional infection prevention and control education for NH staff may be required.