Abstract
As more human needs are addressed with technology, designing positive user experiences becomes increasingly important in developing effective health interventions. Designing successful user experiences for digital health interventions requires a deep understanding of patient challenges. In this paper, we attempted to identify challenges that diabetic patients face adhering to guideline-recommended care through persona development. Previous user experience research suggests that such an approach can be particularly beneficial in designing digital health interventions. We explain how we developed data personas from Electronic Health Records (EHR) and combined them with proto personas that were generated by a group of medical experts for the same patient population. Our results support previous research that suggests combining data and proto personas is beneficial for intervention design. Additionally, our results reveal that combining data and proto personas is likely to improve intervention design by addressing fairness issues that may result from the underrepresentation of certain populations in EHR datasets.
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References
Djamasbi, S., Strong, D.: User experience-driven innovation in smart and connected worlds. AIS Trans. Hum.-Comput. Interact. 11, 215–231 (2019)
Jain, P., Djamasbi, S., Wyatt, J.: Creating value with proto-research persona development. In: Nah, F.-H., Siau, K. (eds.) HCII 2019. LNCS, vol. 11589, pp. 72–82. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22338-0_6
Persons, B., Jain, P., Chagnon, C., Djamasbi, S.: Designing the empathetic research IOT network (ERIN) chatbot for mental health resources. In: International Conference on HCI in Business, Government and Organizations (HCIBGO) (2021)
Bajracharya, A., McDonald, A., Girardi, C., Ahumada-Zonin, G., Djamasbi, S., Amante, D.: Proto-research persona development: a user experience design approach. In: Third Annual Diabetes Center of Excellence, UMass Medical School, Diabetes Day (2019)
Accountable Care Organizations (ACOs): General Information | CMS Innovation Center: Innovation.Cms.Gov. (n.d.). https://innovation.cms.gov/innovation-models/aco. Accessed 6 Sept 2021
UMass Memorial Health – Accountable Care Organization (ACO): UMass Memorial Health (n.d.). https://www.ummhealth.org/none/umass-memorial-medicare-accountable-care-organization-aco. Accessed 6 Sept 2021
An, J., Cho, H., Kwak, H., Hassen, M.Z., Jansen, B.J.: Towards automatic persona generation using social media. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pp. 206–211. IEEE (2016)
Epic EHR Software - Pricing, Demo & Comparison Tool: EHR in Practice (n.d.). https://www.ehrinpractice.com/epic-ehrsoftware-profile-119.html. Accessed 6 Sept 2021
Epic Clarity | Data Analytics Center | Perelman School of Medicine at the University of Pennsylvania (n.d.). Med.Upenn.Edu. https://www.med.upenn.edu/dac/epic-claritydata-warehousing.html. Accessed 6 Sept 2021
Weiss, A.P.: Morning CMO Report. Upstate University Hospital (2017)
Snider, S.: Where Do I Fall in the American Economic Class System? U.S. News & World Report, December 2020. https://money.usnews.com/money/personalfinance/family-finance/articles/where-do-i-fall-in-theamerican-economic-class-system
Lee, C.Y.: A two-step clustering approach for measuring socioeconomic factors associated with cardiovascular health among older adults in South Korea. Korean J. Adult Nurs. 32(6), 551 (2020). https://doi.org/10.7475/kjan.2020.32.6.551
Norušis, M.J.: IBM SPSS Statistics 19 Guide to Data Analysis. Prentice Hall, Upper Saddle River (2011)
Eckel, R.H., et al.: Obesity and type 2 diabetes: what can be unified and what needs to be individualized? Diabetes Care 34(6), 1424–1430 (2011). https://doi.org/10.2337/dc11-0447
Body Mass Index (BMI): Centers for Disease Control and Prevention, 7 June 2021. https://www.cdc.gov/healthyweight/assessing/bmi/index.html
Norušis, M.J.: SPSS 16.0 Guide to Data Analysis. Prentice Hall, Upper Saddle River (2008)
IBM: Support: IBM (n.d.). IBM https://www.ibm.com/support/pages/howloglikelihooddistance-method-appliedtwostepclusteranalysis
Differences between Medicare and Medicaid:. Medicare Interactive, 5 August 2021. https://www.medicareinteractive.org/getanswers/medicarebasics/medicarecoverageoverview/differences-between-medicareand-medicaid
Huh, J., et al.: Personas in online health communities. J. Biomed. Inform. 63, 212–225 (2016). https://doi.org/10.1016/j.jbi.2016.08.019
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Sankar, G., Djamasbi, S., Dogan Telliel, Y., Bajracharya, A.S., Amante, D.J., Shi, Q. (2022). Developing Personas for Designing Health Interventions. In: Fui-Hoon Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2022. Lecture Notes in Computer Science, vol 13327. Springer, Cham. https://doi.org/10.1007/978-3-031-05544-7_25
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