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Richard M. Fairbanks School of Public Health

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  • Helen Nai-Chi Chen (Fu), PhD, FNP, RN

Helen Nai-Chi Chen (Fu), PhD, FNP, RN

Research Scientist

false
Email:
hnfu@iu.edu
Departments:
Epidemiology
Additional Appointments:
Regenstrief Institute
Degrees:
PhD, Nursing, University of Minnesota
MSN, Family Nurse Practitioner, University of Pennsylvania
BSN, Nursing, University of Pennsylvania
Health Sciences Building, RG 5128
1050 Wishard Blvd
Indianapolis, IN
46202

Biography

Dr. Helen Fu recently completed two year postdoctoral training - T15 of Population & Public Health Informatics funded by the National Library Medicine at Indiana University Fairbanks School of Public Health and Regenstrief Institute in our Department of Epidemiology. She received clinical training for RN (1996) and Family Nurse Practitioner (1999) from the University of Pennsylvania and PhD in nursing from the University of Minnesota (2018) as a Robert Wood Johnson Foundation Future of Nursing Scholar. Her clinical experience in multiple settings provides insights into patient needs across settings. She has worked as a staff nurse in phone triage, recovery room, and the intermediate care unit. Later, she worked as a nurse practitioner (NP) in primary care, diabetes center, inpatient cardiology, long-term/post-acute care, retail clinics, online clinics, and urgent care.

Dr. Fu is a health service researcher focus on the use of multi-level HIT intervention to decrease health disparities and improve chronic disease outcome. She received funding from the National Institute of Nursing Research for a K99/R00 award (2023 to 2028) on virtual diabetes care titled “Improving Glycemic Control Among Underserved Patients with Insulin-Treated Type 2 Diabetes through Nurse-Led, App-Based Behavioral Intervention."

Research Interests

  • mHealth

  • Human-computer-interaction

  • Technology-based behavioral intervention

  • Technology usability

  • Chronic disease management

  • Diabetes health service delivery

  • Health information technology intervention

  • Health disparities

  • Implementation science

  • Diabetes care quality improvement

Selected Publications

  1. Fu, H.N., McMahon, S.K., Gross, C.R., Adam, T.J., Wyman, J.F. (2017). Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review. Journal of Diabetes Research and Clinical Practice, 13(2): 45-50. https://www.sciencedirect.com/science/article/pii/S0168822717300323?casa_token=-reE_53jF6cAAAAA:TATWtXAdlB4emZfxEgR4WIOfltBdUKi82BbhOfjMo4EWpSoksVeVE6oJGRdyBb9ZMgFiWQS8zw
  2. Fu, H.N., Adam, T.J., Konstan, J., Wolfson, J., Clancy, T.R., Wyman, J.F. (2019). Influence of patient characteristics and psychological needs on diabetes mobile app usability in adults with type 1 or type 2 diabetes: Crossover randomized trial. Journal of Medical Internet Research Diabetes, 4(2): Apr-Jun. https://diabetes.jmir.org/2019/2/e11462/
  3. Fu, H.N., Rizvi, R.F., Wyman, J.F. Adam, T.J. (2020) Usability evaluation of four top-rated commercially available diabetes apps for adults with type 2 diabetes. Computers Informatics Nursing, 38(6), 274-280. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710160/
  4. Fu, H.N., Skolnick, V., Raiter, A, Solberg, L, Carlin, C, Peterson, K. (2020). The effect of depression and rurality on a1c in adults with diabetes. Journal of the American Board of Family Practice, 33(5): 913-922. https://pubmed.ncbi.nlm.nih.gov/33219070/
  5. Fu, H.N., Jin, D., Adam, T.J. (2020). Content analysis: First-time patient user challenges with top-rated commercial diabetes apps. Telemedicine and e-Health, 27(6), 663-669. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349717/
  6. Solberg, L., Peterson, K., Fu, H.N., Eder, M., Jacobsen, R. (2021). Strategies and factors associated with top performance in primary care for diabetes: insights from mixed methods. ANNALS of Family Medicine, 19(2), 110-116. https://pubmed.ncbi.nlm.nih.gov/33685872/
  7. Samal, L, Fu, H.N., Camara, D.S, Wang, J., Bierman, A.S., Dorr, D.A. (2021). Health information technology to improve care for people with multiple chronic conditions. Health Service Research, 56, 1006-1036. https://pubmed.ncbi.nlm.nih.gov/34363220/
  8. Norton, JM., Ip, A., Ruggiano, N., Abidogun, T., Camara, DS., Fu, H., Hose, B.Z., Miran, S., Hsiao, J., Wang, J., Bierman, AS. (2022). Assessing progress towards the vision of a comprehensive, electronic shared care plan: a scoping review. Journal of Medical Internet Research, 24 (6), e36569 https://pubmed.ncbi.nlm.nih.gov/35687382/
  9. Fu, H.N., Wyman, J.F, Peden-McAlpine, C.J., Draucker, C.B., Schleyer, T., Adam, T. (2023) App design features important for diabetes self-management as determined by the Self-Determination Theory on Motivation: content analysis of survey responses from adults requiring insulin therapy, Journal of Medical Internet Research Diabetes, 8(1), e38592. https://pubmed.ncbi.nlm.nih.gov/36826987/
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