Sriram Iyengar

Interests

Research

mHealth (mobile health), Data Science and Machine Learning in Healthcare, Systems Biology

Teaching

Biomedical Informatics, Data Science

Courses

No activities entered.

Scholarly Contributions

Chapters

• Iyengar, M. S. (2019). Mobile Health. In Fundamentals of Telemedicine and Telehealth. Elsevier, North Holland.

Journals/Publications

• Colombo, P. M., Freylersythe, S., Sprinkle, M. M., Ernst, K. C., Yubeta, M., Barbati, J. L., Merchant, N., Iyengar, S., Crane, T. E., Oxnam, M., & Rains, S. A. (2022). Design and implementation of a health messaging protocol employed for use within a COVID-19 health dissemination platform. Frontiers in public health, 10, 942795.
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  AZCOVIDTXT, a bilingual, two-way information sharing platform was created in April of 2020 in response to rising COVID-19 cases in Arizona. The aim of this paper is to delineate the protocol and processes used to develop and disseminate health messaging to serve as guidance for other groups, universities, or public health programs in the implementation or enhancement of health communication services.
• McGowan, A., Sittig, S., Bourrie, D., Benton, R., & Iyengar, S. (2022). The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation. JMIR mHealth and uHealth, 10(9), e40576.
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  Persuasive technology is an umbrella term that encompasses software (eg, mobile apps) or hardware (eg, smartwatches) designed to influence users to perform preferable behavior once or on a long-term basis. Considering the ubiquitous nature of mobile devices across all socioeconomic groups, user behavior modification thrives under the personalized care that persuasive technology can offer. However, there is no guidance for developing personalized persuasive technologies based on the psychological characteristics of users.
• Basu, A., Kuziemsky, C., de Araújo Novaes, M., Kleber, A., Sales, F., Al-Shorbaji, N., Flórez-Arango, J. F., Gogia, S. B., Ho, K., Hunter, I., Iyengar, S., John, O., John, S., Kulatunga, G., Rajput, V. K., Ranatunga, P., & Udayasankaran, J. G. (2021). Telehealth and the COVID-19 Pandemic: International Perspectives and a Health Systems Framework for Telehealth Implementation to Support Critical Response. Yearbook of medical informatics, 30(1), 126-133.
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  Telehealth implementation is a complex systems-based endeavour. This paper compares telehealth responses to (COrona VIrus Disease 2019) COVID-19 across ten countries to identify lessons learned about the complexity of telehealth during critical response such as in response to a global pandemic. Our overall objective is to develop a health systems-based framework for telehealth implementation to support critical response.
• Iyengar, M. S. (2020). Community-Level Health Promotion during a Pandemic: Key Considerations for Health Communication. Health Communication, 35(14), 1747-9. doi:10.1080/10410236.2020.1837443
• Iyengar, M. S., Chang, O., Florez-Arango, J. F., Taria, M., & Patel, V. L. (2021). Development and usability of a mobile tool for identification of depression and suicide risk in Fiji. Technology and health care : official journal of the European Society for Engineering and Medicine, 29(1), 143-153.
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  In Fiji and other South Pacific island countries, depression and suicide are of great concern. There is a pressing need to rapidly identify those at risk and provide treatment as soon as possible.
• Patel, V. L., Halpern, M., Nagaraj, V., Chang, O., Iyengar, S., & May, W. (2021). Information processing by community health nurses using mobile health (mHealth) tools for early identification of suicide and depression risks in Fiji Islands. BMJ health & care informatics, 28(1).
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  High rates of depression and suicide and a lack of trained psychiatrists have emerged as significant concerns in the low-income and middle-income countries (LMICs) such as the Pacific Island Countries (PICs). Readily available smartphones were leveraged with community health nurses (CHNs) in task-sharing for early identification of suicide and depression risks in Fiji Islands, the largest of PICs. This investigation examines how CHNs can efficiently and effectively process patient information about depression and suicide risk for making diagnostic and management decisions without compromising safety. The research is driven by the theoretical framework of text comprehension (knowledge representation and interpretation) and decision-making.
• Chang, O., Patel, V. L., Iyengar, S., & May, W. (2020). Impact of a mobile-based (mHealth) tool to support community health nurses in early identification of depression and suicide risk in Pacific Island Countries. Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists. doi:10.1177/1039856220956458
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  To convert screening tools for depression and suicide risk into algorithmic decision support on smartphones for use by community health nurses (CHNs), and to evaluate the efficiency, effectiveness, and usability of the mHealth tool in providing mental health (MH) care.
• Fernandez-Luque, L., Kushniruk, A. W., Georgiou, A., Basu, A., Petersen, C., Ronquillo, C., Paton, C., Nøhr, C., Kuziemsky, C. E., Alhuwail, D., Skiba, D., Huesing, E., Gabarron, E., Borycki, E. M., Magrabi, F., Denecke, K., Peute, L. W., Topaz, M., Al-Shorbaji, N., , Lacroix, P., et al. (2020). Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action. Methods of information in medicine, 59(6), 183-192.
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  As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis.
• Iyengar, M. S., Pinzon, O. E., & Campbell, R. R. (2020). Design and development of a mobile-based patient management and information system for infectious disease outbreaks in low resource environments. Technology and health care : official journal of the European Society for Engineering and Medicine, 28(6), 697-709. doi:10.3233/THC-192100
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  The design of Patient Management and Information Systems during outbreaks of highly infectious diseases in low resource environments poses special challenges. Such systems necessitate special functional and design requirements to support patient care under austere conditions. A primary concern is to minimize spread of the disease to caregivers and non-infected individuals. Patient management in these conditions requires the design and development of systems customized for complex patient and caregiver workflows.
• Raschke, R. A., Curry, S. C., Glenn, T., Gutierrez, F., & Iyengar, S. (2020). A Bayesian analysis of strategies to rule out COVID19 using reverse transcriptase-polymerase chain reaction (RT-PCR). Archives of pathology & laboratory medicine, 144(8), 915-6. doi:10.5858/arpa.2020-0196-LE
• Sittig, S., McGowan, A., & Iyengar, S. (2020). Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions. Journal of medical systems, 44(7), 128. doi:10.1007/s10916-020-01591-w
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  In this extensive review of behavioral digital obesity interventions, we reviewed randomized control trials aimed at weight loss or maintaining weight loss and identifying persuasive categories and principles that drive these interventions. The following databases were searched for long-term obesity interventions: Medline, PsycINFO, Academic Search Complete, CINAHL and Scopus. The inclusion criteria included the following search terms: obesity, overweight, weight reduction, weight loss, obesity management, and diet control. Additional criteria included randomized control trial, ≥ 6 months intervention, ≥ 100 participants and must include persuasive technology. Forty-six publications were in the final review. Primary task support was the most frequently utilized persuasive system design (PSD) category and self-monitoring was the most utilized PSD principle. Behavioral obesity interventions that utilized PSD with a behavior change theory more frequently produced statistically significant weight loss findings. Persuasive technology and PSD in digital health play a significant role in the management and improvement of obesity especially when aligned with behavior change theories. Understanding which PSD categories and principles work best for behavioral obesity interventions is critical and future interventions might be more effective if they were based on these specific PSD categories and principles.
• Sittig, S., Wang, J., Iyengar, S., Myneni, S., & Franklin, A. (2020). Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes. JMIR mHealth and uHealth, 8(3), e15927. doi:10.2196/15927
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  Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking.
• Casarez, R. L., Barlow, E., Iyengar, S. M., Soares, J. C., & Meyer, T. D. (2019). Understanding the role of m-health to improve well-being in spouses of patients with bipolar disorder. Journal of affective disorders, 250, 391-396.
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  Spouses and partners of individuals with bipolar disorder (BD) experience significant burden. As there are some limitations to standard psychosocial caregiver interventions, mobile health technology (mHealth) may be a way to reduce burden and improve well-being in these caregivers. The purpose of this study was to explore how the well-being of spouses or partners of patients with BD can be improved through mHealth technology.

Proceedings Publications

• Iyengar, M. S., Rains, S. A., Ernst, K. C., Block Ngaybe, M. G., Merchant, N. C., Arora, M., & Gonzalez, M. (2023, July). Resilience Informatics. In MEDINFo 2023.

Presentations

• Iyengar, M. S., Florez-Arango, J. F., Win, K. T., Grace, D. S., & Magdala, N. (2023). Using Persuasive Technology to Design Effective mHealth Systems. MEDINFO 2023. Sydney, Australia.

Poster Presentations

• Iyengar, M. S. (2020, November). Visualization Of Patient Medications’ Trajectory In Depression Management. AMIA Annual Symposium. Virtual: AMIA.