Tina Sadarangani

Faculty

Tina Sadarangani headshot

Tina Sadarangani

PhD RN ANP-C GNP-BC

Assistant Professor

1 212 992 7183

433 FIRST AVENUE
NEW YORK, NY 10010
United States

Accepting PhD students

Tina Sadarangani's additional information

Prof. Tina Sadarangani, PhD, RN, FAAN is an Assistant Professor at NYU Rory Meyers College of Nursing and a board-certified adult and geriatric nurse practitioner. Sadarangani is an NIH-funded clinician scientist over-seeing a research portfolio focused on improving care for people with Alzheimer’s disease and their families. She has built a growing movement to help families, especially immigrant families, caring for a chronically ill person navigate a complex and fragmented healthcare system. Her work has impacted families and eldercare organizations nationwide. Sadarangani’s expertise includes family caregivers, adult day care services, older adult nutrition, age-tech, and addressing the long-term care needs of ethnically diverse older adults.

With support from the National Institutes of Health, Sadarangani created an award-winning mobile app– CareMobiTM - out of her NYU lab that helps family members caring for a chronically ill loved one, particularly those with dementia, communicate around the day-to-day care of their loved ones. She is also the creator of The Enlightened Caregiver – a social media movement -  that empowers families with practical guidance on how to get optimal, not usual, healthcare for the people they love. 

Her research also innovatively positions adult day centers, which represent a growing but understudied sector of long-term care, as platforms for chronic disease management in underserved communities. A leader in using community-partnered research in adult day centers, her on-going collaborations with the National Adult Day Services Association and the California Association of Adult Day Services, have demonstrated that integrating adult day centers into the healthcare continuum contributes to reductions in avoidable healthcare utilization and person-centered care. She is also the nation's leading researcher focused on evaluating and improving nutrition programs in adult day centers.

Sadarangani has published extensively in peer-reviewed academic journals, including in the American Journal of Public Health and the Journal of the American Medical Informatics Association. She has been featured in the New York TimesAssociated Press, US News and World Report, among several other major media outlets. She has been recognized as a Woman of Distinction/Rising Star in Long-Term Care and recently recognized by Crain’s New York Business as a Notable Leader in Healthcare. 

 

PhD, New York University
MS, University of Pennsylvania
BSN, New York University
BA, Georgetown University
Chronic disease
Gerontology
Health Policy
Health Services Research
Immigrants
Underserved populations
Vulnerable & marginalized populations
American Gerontological Society
American Heart Association
National Gerontological Nurses Association
Sigma Theta Tau Nursing Honor Society

Faculty Honors Awards

Top 10% of Most-Viewed Papers Published in 2023, Journal of Clinical Nursing, The relationship between nurse burnout, missed nursing care, and care quality following COVID‐19 pandemic (2025)
Alumni Nursing Exemplar, Georgetown University School of Nursing, New York, NY. (2025)
NYU Meyers Dean's Excellence in Research Award for Senior Faculty - recognizes full-time faculty who have engaged in research that contributes to the development of new scientific knowledge, or advances in nursing practice or education (2025)
Rising Star Award, National Institute on Aging (NIA), American Geriatrics Society (AGS), Advancing Geriatrics Infrastructure and Network Growth (AGING) Initiative and Alzheimer's Diagnosis in older Adults with Chronic Conditions (ADACC) Network, &quot (2025)
Gold Medal Winner, CareMobi: Connecting Families and Day Centers. McKnight’s Long-term Care Technology Awards, Keep It Super Simple Category. New York, NY. (2024)
UBS x Luminary Fellow, Supporting Women of Color Founders, New York, NY (2024)
Fellowship, New York Academy of Medicine, New York, NY (2024)
Fellowship (FAAN), American Academy of Nursing, Washington, DC (2024)
Fellow Status (FGSA), Gerontological Society of America, Seattle, WA. (2024)
Luminary Award, National Indian Nurse Practitioners Association of America 7 th Nursing Conference. Suffern, NY. (2024)
Judge’s Award for Best Fast Pitch, 2023 National Institute on Aging Start-up Challenge “Shark Tank” Competition, Las Vegas, NV (2023)
Finalist, National Institute on Aging 2023 Start-up Challenge, Bethesda, MD (2023)
Top 10 Reviewer Award - Research in Gerontological Nursing (2023)
Faculty Scholar, National Institute on Aging IMPACT Collaboratory, Bethesda, MD (2023)
Faculty Scholar, National Institute on Aging IMPACT Collaboratory, Bethesda, MD (2022)
Faculty Scholar, National Institute on Aging IMPACT Collaboratory, Bethesda, MD (2021)
Woman of Distinction (Rising Star), McKnight’s Long-Term Care, New York, NY (2021)
Provost’s Postdoctoral Fellowship Program, New York University (2019)
Provost’s Postdoctoral Fellowship Program, New York University (2018)
Provost’s Postdoctoral Fellowship Program, New York University (2017)
Valedictorian, New York University (2017)
Hermann Biggs Health Policy Scholar, Josiah Macy Jr. Foundation (2017)
Hillman Alumni Network Innovation Fellowship, Hillman Alumni Network (2016)
Doctoral Audience Choice Winner, New York University (2016)
Research Podium Presentation Award, Gerontology Advanced Practice Nurses Association (2016)
Hermann Biggs Health Policy Scholar, Josiah Macy Jr. Foundation (2016)
Patricia G. Archbold Award, National Hartford Centers for Gerontological Nursing Excellence (2016)
Patricia G. Archbold Award, National Hartford Centers for Gerontological Nursing Excellence (2015)
Patricia G. Archbold Award, National Hartford Centers for Gerontological Nursing Excellence (2014)
Spirit of Hillman Award, Hillman Alumni Network (2014)
Summa Cum Laude, Georgetown University
Phi Beta Kappa, Georgetown University

Publications

Optimizing the primary care management of chronic pain through telecare

Tierce-Hazard, S., & Sadarangani, T. (2014). In Journal of Clinical Outcomes Management (Vols. 21, Issues 11, pp. 493-495).
Abstract
Abstract
Objective. To evaluate the effectiveness of a collaborative telecare intervention on chronic pain management. Design. Randomized clinical trial. Settings and participants. Participants were recruited over a 2-year period from 5 primary care clinics within a single Veterans Affairs medical center. Patients aged 18 to 65 years were eligible if they had chronic (≥3 months) musculoskeletal pain of at least moderate intensity (Brief Pain Inventory [BPI] score ≥5). Patients were excluded if they had a pending disability claim or a diagnosis of bipolar disorder, schizophrenia, moderately severe cognitive impairment, active suicidal ideation, current illicit drug use or a terminal illness or received primary care outside of the VA. Participants were randomized to either the telephone-delivered collaborative care management intervention group or usual care. Usual care was defined as continuing to receive care from their primary care provider for management of chronic, musculoskeletal pain. Intervention. The telecare intervention comprised automated symptom monitoring (ASM) and optimized analgesic management through an algorithm-guided stepped care approach delivered by a nurse case manager. ASM was delivered either by an interactive voice-recorded telephone call (51%) or by internet (49%), set according to patient preference. Intervention calls occurred at 1 and 3 months. Additional contact with participants from the intervention group was generated in response to ASM trend reports. Main outcome measures. The primary outcome was the BPI total score. The BPI scale ranges from 0 to 10, with higher scores indicating worsening pain. A 1-point change is considered clinically important. Secondary pain outcomes included BPI interference and severity, global pain improvement, treatment satisfaction, and use of opioids and other analgesics. Patients were interviewed at 1, 3, 6, and 12 months. Main results. A total of 250 participants were enrolled, 124 assigned to the intervention group and 126 assigned to usual care. The mean (SD) baseline BPI scores were 5.31 (1.81) for the intervention group and 5.12 (1.80) for usual care. Compared with usual care, the intervention group had a 1.02-point lower BPI score at 12 months (95% confidence interval [CI], -1.58 to -0.47) (P < 0.001). Patients in the intervention group were nearly twice as likely to report at least a 30% improvement in their pain score by 12 months (51.7% vs. 27.1%; relative risk [RR], 1.9 [95% CI, 1.4 to 2.7]), with a number needed to treat of 4.1 (95% CI, 3.0 to 6.4) for a 30% improvement. Patients in the intervention group were more likely to rate as good to excellent the medication prescribed for their pain (73.9% vs 50.9%; RR, 1.5 [95% CI, 1.2 to 1.8]). Patients in the usual care group were more likely to experience worsening of pain by 6 months compared with the intervention group. A greater number of analgesics were prescribed to patients in the intervention group; however, opioid use between groups did not differ at baseline or at any point during the trial period. For the secondary outcomes, the intervention group reported greater improvement in depression compared with the usual care group, and this difference was statistically significant (P < 0.001). They also reported fewer days of disability (P = 0.34). Conclusion. Telecare collaborative management was more effective in improving chronic pain outcomes than usual care. This was accomplished through the optimization of non-opioid analgesic therapy facilitated by a stepped care algorithm and automated symptom monitoring.

Telehealth as an alternative to traditional, in-person diabetes self-management support

Burchard, A., & Sadarangani, T. (2014). In Journal of Clinical Outcomes Management (Vols. 21, Issues 11, pp. 495-496).
Abstract
Abstract
Objective. To investigate the feasibility and effectiveness of administering diabetes self-management support (DSMS) via telephone or secure messaging. Design. Prospective, longitudinal quasi-experimental study. Setting and participants. Participants (n = 150) who had previously completed diabetes self-management education (DSME) received follow-up DSMS in 1 of 3 selfselected ways: a one-time in-person visit, 3 brief visits by telephone, or via secure messaging via the electronic health record. The (usual care) in-person group (n = 47) received 1 follow-up appointment at the patient's request with a certified diabetes educator (CDE) within 3 to 6 months of DSME completion. The telephone group (n = 44) was given follow-up phone appointments with a CDE, each lasting approximately 20 minutes, at 3, 6, and 9 months post-DSME. The secure message group (n = 59) received follow-up messages via the patient portal from a CDE at 3, 6, and 9 months post-DSME. At each interval, patients received 3 messages, an initial one followed by 2 structured replies. Motivational interviewing techniques were used in all 3 groups to identify barriers to achieving behavior goals and solutions. Main outcome measures. Behavior goal measures, feasibility measures, and physiologic measures at 9 months' post DSME. Behavior goal achievement was measured using a survey that asked patients to rate their achievement regarding the following AADE7 goals: healthy eating, being active, self-monitoring, taking medications, problem solving, reducing risks, and healthy coping. Goals are rated on a scale from 0 to 10, with a rating ≥ 7 considered successful completion. Feasibility to integrate this technology into a DSME platform was assessed by comparing the number of attempts to contact patients with the number of contacts achieved; also calculated was intervention completion, mean time spent with the CDE, and total cost of each visit. Physiologic measures included HbA1C and LDL levels collected through medical record review. Results. There were no statistically significant differences between groups with respect to any of the primary outcomes. Behavioral goals were achieved by 59% of the in-person group, 73% of the telephone group, and 77% of the secure message group . Mean goal achievement for all 3 groups combined improved from 6.2 ± 2.4 to 7.2 ± 1.8 (P < 0.05). Overall, 70.3% ± 0.46% achieved behavioral goals, with no difference among groups. In terms of feasibility, at 3 months the contact success rate was 39%, 46%, and 29% in the in-person, telephone, and secure message groups, respectively. At 6 months, the contact success rate was 47% in the phone group versus 32% in the secure message group. At 9 months, the contact success rate was 35% in the phone group versus 21% in the secure message group. Sixty-two participants (41%) completed the intervention per protocol: 51% of in-person patients, 47% of phone patients, and 28% of secure message patients (P < 0.02). Visits lasted and cost, on average, 60 minutes and $50.00, 45.3 minutes and $37.75, and 17.8 minutes (P < 0.05) and $14.83 for the in-person, telephone, and secure message groups, respectively. There was no difference in HbA1c among groups. Overall, HbA1c decreased by -0.88% ± 1.63 (P < 0.05) from baseline to 9 months. Change in LDL was not significant, and neither were there statistical differences among groups. Conclusion. Diabetes follow-up care delivered via telephone and secure messaging is feasible. Using either of these methods results in similar outcomes compared with the traditional in-person visit, while requiring less staff time.

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