Ashleigh M. Holmes

Faculty

Ashleigh Holmes Headshot

Ashleigh M. Holmes

PhD MSN RN AGPCNP-BC

Clinical Assistant Professor

1 212 992 5945

433 FIRST AVENUE
NEW YORK, NY 10010
United States

Ashleigh M. Holmes's additional information

Ashleigh Holmes, PhD, MSN, RN, AGPCNP-BC, is a clinical assistant professor at NYU Rory Meyers College of Nursing. Her research interests include chronic pain and mental health in older adults, data science methodologies, and models of care. She is passionate about the older adult population and enjoys teaching about the art and science of managing complex chronic conditions, palliative care needs, and geropharmacology.
 

Prior to joining the faculty at NYU Meyers, Holmes was a preceptor and adjunct lecturer in the Family Nurse Practitioner program at the State University of New York Polytechnic Institute. Certified as an adult-gerontology primary care nurse practitioner, she worked in primary care for several years before transitioning to subacute rehabilitation.
 

Holmes earned her BSN from the University of Pittsburgh in 2016 and her MSN and palliative care minor from the University of Pennsylvania in 2017. She completed her PhD in nursing through the University at Buffalo in 2025. Her doctoral research explored the longitudinal trajectories of psychosocial phenotypes in older adults with pain.

PhD, Nursing – University at Buffalo
MS, Adult-Gerontology Primary Care Nurse Practitioner – University of Pennsylvania
BS, Nursing – University of Pittsburgh
Gerontology
Primary care
Pain Medicine
American Association of Nurse Practitioners
Eastern Nursing Research Society
Gerontological Society of America

Faculty Honors Awards

School of Nursing 11th Annual Research Day Ellen Volpe Memorial Reward- PhD research poster (2024)
School of Nursing 10th Annual Research Day Poster Awards First Place Prize for PhD students (2023)
School of Nursing 9th Annual Research Day Poster Awards First Place Prize for PhD Students (2022)
Keeper of the Light, University of Pittsburgh School of Nursing (2016)
Stephanie Mucha Scholar, University at Buffalo School of Nursing

Publications

The association between caregiving burden, the caregiving relationship, and caregiver health

Holmes, A. M., de Rosa, C. B., Holmes, A., Wang, W., & Chang, Y.-P. P. (2025). In Journal of Gerontological Nursing (Vols. 51, Issues 5, pp. 27-34).
Abstract
Abstract
To determine the mediating effects of the quality of family caregivers' relationships with their older adult care recipients on the association between care-giver burden and caregivers' mental health and perceived general health.

The impact of technology-assisted interventions on loneliness in older adults: A meta-analysis

Chang, Y.-P., Holmes, A. M., Wang, W., & Yu, J. (2025).
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Impact of transitions in psychosocial phenotypes on longitudinal clinical outcomes in older adults with pain

Holmes, A. M. (2025).
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Perceived impact of COVID-19 in an underserved community: A natural language processing approach

Holmes, A. M., Sachar, A. S., & Chang, Y.-P. (2025). In Journal of Advanced Nursing (Vols. 81, Issues 6, pp. 3201-3212). 10.1111/jan.16522
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Psychosocial phenotypes of older adults with pain and their associated clinical outcomes

Holmes, A. M., Holmes, A., Wang, W., & Chang, Y.-P. (2025). In Journal of Applied Gerontology (Vols. 44, Issues 4, pp. 600-613).
Abstract
Abstract
A comprehensive understanding of the patterns of psychosocial characteristics in older adults with pain is needed. Our objectives were to (1) identify psychosocial phenotypes (comprising depression, anxiety, affect, self-realization, resilience, and social participation) among older adults with pain and (2) compare pain characteristics, physical health, and cognition among the identified phenotypes. Using cross-sectional 2021 data from the National Health and Aging Trends Study, we performed latent class analysis to identify four psychosocial phenotypes of older adults with pain ( = 1903): Favorable (best psychosocial characteristics, 67.7%), Adverse (worst psychosocial characteristics, 4.9%), Intermediate (moderate scores on psychosocial variables, 12.6%), and Compensated (moderate scores with relatively high self-realization and resilience, 14.9%). Phenotypes with less psychosocial adversity had generally better clinical outcomes. Future research should explore precision pain management interventions in older adults based on their psychosocial phenotypes, longitudinal trajectories of phenotypes, and technology-based, point-of-care clinical insights for pain management.

Trajectories of psychosocial phenotypes in older adults with pain: A latent transition analysis

Holmes, A. M. (2025).
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Transitions in psychosocial phenotypes in older adults with pain

Holmes, A. M., Holmes, A., & Chang, Y.-P. (2025). In The Journal of Pain (Vols. 35, p. 105503).
Abstract
Abstract
Although pain is prevalent in older adults, there are gaps in the existing literature regarding multivariable psychosocial contributors to pain outcomes. Identifying psychosocial phenotypes, or patterns of psychological and social characteristics, can help predict outcomes; however, further longitudinal analysis is required. This study explores the stability of psychosocial phenotypes longitudinally in older adults with pain, along with the predictors of transitions in phenotypes over time. Using 2018-2022 annual National Health and Aging Trends Study data, 813 older adults consistently reported pain. Psychosocial variables used in the analysis included depression, anxiety, affect, self-realization, resilience, self-efficacy, and social participation. Latent transition analysis was used to identify optimal psychosocial phenotypes and proportions of participants transitioning to different phenotypes longitudinally. Baseline variables (pain characteristics, physical, cognitive) associated with longitudinal transitions in psychosocial phenotypes were determined via logistic regression. Latent transition analysis resulted in three psychosocial phenotypes (Adverse, Favorable, and Intermediate) based on scores on psychosocial variables. Longitudinally, phenotype membership remained generally stable with a trend towards increased psychosocial adversity. Baseline cognition and physical performance were predictors of transitions to less adverse phenotypes longitudinally. In contrast, baseline sleep, physical performance, pain limitations, and self-rating of general health were predictors of transitions to more adverse phenotypes. There is stability in psychosocial well-being longitudinally in older adults with pain and a remarkable ability to rebound despite major stressors. Future research should explore interventions that promote transitions to more favorable psychosocial phenotypes, develop point-of-care clinical insights, and advance precision pain medicine. PERSPECTIVE: This study analyzed psychosocial phenotypes in older adults with chronic pain using latent transition analysis. It identified stable phenotypes (Adverse, Intermediate, Favorable) and tracked changes over time. Findings highlight the impact of cognitive and physical health on psychosocial well-being, supporting personalized interventions and advancing precision pain medicine in older adults.

Non-pharmacological management of neuropathic pain in older adults: a systematic review

Holmes, A. M., Holmes, A., & Chang, Y.-P. P. (2024). In Pain medicine (Malden, Mass.) (Vols. 25, Issue 1, pp. 47-56).
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Neuropathic pain encompasses multiple diagnoses with detrimental impacts on quality of life and overall health. In older adults, pharmacological management is limited by adverse effects and drug interactions, while surgical management involves perioperative risk. Prior reviews addressing non-pharmacological interventions for neuropathic pain have not focused on this demographic. Therefore, this systematic review synthesizes the evidence regarding the effectiveness of non-pharmacological interventions in reducing neuropathic pain severity in older adults.

Psychosocial Characteristics by Pain Presence and Limitations Among Older Adults

Holmes, A. M., Holmes, A., Wang, W., & Chang, Y.-P. P. (2024). In Journal of gerontological nursing (Vols. 50, Issues 7, pp. 27-34).
Abstract
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To compare psychosocial outcomes of older adults according to pain experience.

Effect of mental health collaborative care models on primary care provider outcomes: an integrative review

Holmes, A. M., Holmes, A., & Chang, Y.-P. P. (2022). In Family practice (Vols. 39, Issues 5, pp. 964-970).
Abstract
Abstract
Collaborative care models (CCMs) have robust research evidence in improving mental health outcomes for diverse patient populations with complex health care needs. However, the impact of CCMs on primary care provider (PCP) outcomes are not well described.