Ilene L. Hollin, PhD is currently an assistant professor in the Department of Health Services Administration and Policy within the College of Public Health at Temple University. Dr. Hollin joined the HSAP faculty having completed a post-doctoral fellowship with the Leonard D. Schaeffer Center for Health Policy & Economics at the University of Southern California (USC) and the National Pharmaceutical Council (NPC). Dr. Hollin earned her PhD in health economics and policy from the Johns Hopkins Bloomberg School of Public Health and her MPH in effectiveness and outcomes research from the Columbia University Mailman School of Public Health.

Dr. Hollin’s research interests include patient-centered decision-making, including patient and caregiver preferences and outcomes research, the value of health technologies including pharmaceuticals and health information technology, and the impact of insurance policy on access among pediatric populations. Dr. Hollin is especially interested in research that facilitates better healthcare for complex patient populations, such as those with rare diseases and children with special healthcare needs. She is also interested in bridging the gap between health research and policy analysis and is passionate about incorporating the patient perspective in all aspects of healthcare, research and policy.


  • PhD, Health Economics and Policy, Johns Hopkins University School of Public Health
  • MPH, Columbia University
  • BA, American Studies; International Studies, Brandeis University

Curriculum Vitae 

Courses Taught




HPM 8013

Research Methods in Health Policy


Selected Publications

  • Hollin, I.L., Paskett, J., Schuster, A.L.R., Crossnohere, N.L., & Bridges, J.F.P. (2022). Best-Worst Scaling and the Prioritization of Objects in Health: A Systematic Review. Pharmacoeconomics, 40(9), pp. 883-899. New Zealand. doi: 10.1007/s40273-022-01167-1

  • Ball, J.G. & Hollin, I.L. (2022). Attention to price disclosures in direct-to-consumer prescription drug advertising and the impact on drug perceptions. Res Social Adm Pharm, 18(8), pp. 3402-3413. United States. doi: 10.1016/j.sapharm.2021.11.003

  • Nossov, S.B., Hollin, I.L., Phillips, J., & Franklin, C.C. (2022). Proximal Femoral Focal Deficiency/Congenital Femoral Deficiency: Evaluation and Management. J Am Acad Orthop Surg, 30(13), pp. e899-e910. United States. doi: 10.5435/JAAOS-D-21-01186

  • Bass, S.B., Hollin, I.L., Kelly, P.J., Alhajji, M., D’Avanzo, P., Maurer, L., Gillespie, A., Schatell, D., & Gardiner, H. (2022). Perceptions of Live Donor Kidney Transplantation Using Segmentation Analysis and Perceptual Mapping to Understand Differences by Self-Reported Health Status in People on Dialysis. Frontiers in Communication, 6, p. 785186. doi: 10.3389/fcomm.2021.785186

  • Hollin, I.L., Janssen, E., Kelley, M.A., & Bridges, J.F.P. (2021). Do people have differing motivations for participating in a stated-preference study? Results from a latent-class analysis. BMC Med Inform Decis Mak, 21(1), p. 44. England. doi: 10.1186/s12911-021-01412-1

  • Johnson, K., Hollin, I., Palumbo, A., Spitzer, J., & Sarwer, D. (2020). An Ecologic Analysis of Comorbidities in Patients with COVID-19 in Philadelphia and New York City. CommonHealth, 1(3), pp. 85-92. doi: 10.15367/ch.v1i3.407

  • Hollin, I.L., Craig, B.M., Coast, J., Beusterien, K., Vass, C., DiSantostefano, R., & Peay, H. (2020). Reporting Formative Qualitative Research to Support the Development of Quantitative Preference Study Protocols and Corresponding Survey Instruments: Guidelines for Authors and Reviewers. Patient, 13(1), pp. 121-136. New Zealand. doi: 10.1007/s40271-019-00401-x

  • Hollin, I.L., González, J.M., Buelt, L., Ciarametaro, M., & Dubois, R.W. (2020). Do Patient Preferences Align With Value Frameworks? A Discrete-Choice Experiment of Patients With Breast Cancer. MDM Policy Pract, 5(1), p. 2381468320928012. United States. doi: 10.1177/2381468320928012

  • Hollin, I.L., Donaldson, S.H., Roman, C., Aliaj, E., Riva, D., Boyle, M., & Borowitz, D. (2019). Beyond the expected: Identifying broad research priorities of researchers and the cystic fibrosis community. J Cyst Fibros, 18(3), pp. 375-377. Netherlands. doi: 10.1016/j.jcf.2018.11.010

  • Hollin, I.L., Dimmock, A.E.f., Bridges, J.F.p., Danoff, S.K., & Bascom, R. (2019). Collecting patient preference information using a Clinical Data Research Network: demonstrating feasibility with idiopathic pulmonary fibrosis. Patient Prefer Adherence, 13, pp. 795-804. New Zealand. doi: 10.2147/PPA.S201632

  • Hollin, I.L., Peay, H., Fischer, R., Janssen, E.M., & Bridges, J.F.P. (2018). Engaging patients and caregivers in prioritizing symptoms impacting quality of life for Duchenne and Becker muscular dystrophy. Qual Life Res, 27(9), pp. 2261-2273. Netherlands. doi: 10.1007/s11136-018-1891-7

  • Hong, J.C., Padula, W.V., Hollin, I.L., Hussain, T., Dietz, K.B., Halbert, J.P., Marsteller, J.A., & Cooper, L.A. (2018). Care Management to Reduce Disparities and Control Hypertension in Primary Care: A Cost-effectiveness Analysis. Med Care, 56(2), pp. 179-185. United States. doi: 10.1097/MLR.0000000000000852

  • Lee, J.L., Frey, M., Frey, P., Hollin, I.L., & Wu, A.W. (2017). Seeing is Engaging: Vlogs as a Tool for Patient Engagement. Patient, 10(3), pp. 267-270. New Zealand. doi: 10.1007/s40271-017-0215-2

  • Hollin, I.L., Peay, H.L., Apkon, S.D., & Bridges, J.F.P. (2017). Patient-centered benefit-risk assessment in duchenne muscular dystrophy. Muscle Nerve, 55(5), pp. 626-634. United States. doi: 10.1002/mus.25411

  • Cheung, K.L., Wijnen, B.F.M., Hollin, I.L., Janssen, E.M., Bridges, J.F., Evers, S.M., & Hiligsmann, M. (2016). Using Best-Worst Scaling to Investigate Preferences in Health Care. Pharmacoeconomics, 34(12), pp. 1195-1209. New Zealand. doi: 10.1007/s40273-016-0429-5

  • Peay, H.L., Hollin, I.L., & Bridges, J. (2016). Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best-Worst Scaling. J Genet Couns, 25(2), pp. 305-313. United States. doi: 10.1007/s10897-015-9872-2

  • Hollin, I.L. & Robinson, K.A. (2016). A Scoping Review of Healthcare Costs for Patients with Cystic Fibrosis. Appl Health Econ Health Policy, 14(2), pp. 151-159. New Zealand. doi: 10.1007/s40258-015-0211-4

  • Hollin, I.L., Young, C., Hanson, C., Bridges, J.F.P., & Peay, H. (2016). Developing a Patient-Centered Benefit-Risk Survey: A Community-Engaged Process. Value Health, 19(6), pp. 751-757. United States. doi: 10.1016/j.jval.2016.02.014

  • Moon, M., Hollin, I.L., Nicholas, L.H., Schoen, C., & Davis, K. (2015). Serving Older Adults with Complex Care Needs: A New Benefit Option for Medicare. Issue Brief (Commonw Fund), 23, pp. 1-11. United States. Retrieved from

  • Hollin, I.L., Peay, H.L., & Bridges, J.F.P. (2015). Caregiver preferences for emerging duchenne muscular dystrophy treatments: a comparison of best-worst scaling and conjoint analysis. Patient, 8(1), pp. 19-27. New Zealand. doi: 10.1007/s40271-014-0104-x

  • Peay, H.L., Hollin, I., Fischer, R., & Bridges, J.F.P. (2014). A community-engaged approach to quantifying caregiver preferences for the benefits and risks of emerging therapies for Duchenne muscular dystrophy. Clin Ther, 36(5), pp. 624-637. United States. doi: 10.1016/j.clinthera.2014.04.011

  • Hollin, I., Griffin, M., & Kachnowski, S. (2012). How will we know if it's working? A multi-faceted approach to measuring usability of a specialty-specific electronic medical record. Health Informatics J, 18(3), pp. 219-232. England. doi: 10.1177/1460458212437008

  • Dhar, M., Griffin, M., Hollin, I., & Kachnowski, S. (2012). Innovation spaces: six strategies to inform health care. Health Care Manag (Frederick), 31(2), pp. 166-177. United States. doi: 10.1097/HCM.0b013e31825206ba

  • Vidair, H.B., Reyes, J.A., Shen, S.a., Parrilla-Escobar, M.A., Heleniak, C.M., Hollin, I.L., Woodruff, S., Turner, J.B., & Rynn, M.A. (2011). Screening parents during child evaluations: exploring parent and child psychopathology in the same clinic. J Am Acad Child Adolesc Psychiatry, 50(5), pp. 441-450. United States. doi: 10.1016/j.jaac.2011.02.002

  • Wei, J., Hollin, I., & Kachnowski, S. (2011). A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare, 17(1), pp. 41-48. England. doi: 10.1258/jtt.2010.100322

  • Edwards, A., Hollin, I., Barry, J., & Kachnowski, S. (2010). Barriers to cross--institutional health information exchange: a literature review. J Healthc Inf Manag, 24(3), pp. 22-34. United States. Retrieved from