Decoding Consumer Pain Points and Preferences in Health Insurance: A Behavioural Insights Approach


Authors : Shameem P K; Hamamali. E. K

Volume/Issue : Volume 10 - 2025, Issue 4 - April


Google Scholar : https://tinyurl.com/vpf8fjvu

Scribd : https://tinyurl.com/3z2kv3bh

DOI : https://doi.org/10.38124/ijisrt/25apr585

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : Understanding the psychological and experiential factors influencing consumer behaviour in health insurance is highly critical for improving service delivery and product design and developments. This research study explores the key pain points and preferences among consumers by employing a behavioural insights framework. Through a structured survey of 411 respondents, the research uncovers challenges such as complex policy documentation, limited flexibility in payment options, lack of personalized recommendations, and dissatisfaction with digital platforms and customer support. Simultaneously, it identifies consumer preferences for faster claims processing, customizable plans, and greater transparency. The findings provide actionable recommendations for insurers to align their offerings with evolving consumer expectations, improve user experience, and build long-term trust. By analyzing decision-making patterns, cognitive biases, and emotional drives, the research identifies key barriers to insurance adoption, such as complexity, trust deficits, and perceived value gaps. This research contributes to bridging the gap between consumer needs and insurance practices through a data-driven behavioral lens.

Keywords : Health Insurance, Consumer Behavior, Pain Points, Behavioral Insights, Consumer Preferences, and Consumer Satisfaction.

References :

  1. Berry, L. L., Parish, J. T., Janakiraman, R., Ogburn-Russell, L., Couchman, G. R., Rayburn, W. L., & Grisel, J. (2008). Patients' commitment to their primary physician and why it matters. Annals of Family Medicine, 6(1), 6–13. https://doi.org/10.1370/afm.757
  2. Beshears, J., Choi, J. J., Laibson, D., & Madrian, B. C. (2008). How are preferences revealed? Journal of Public Economics, 92(8–9), 1787–1794. https://doi.org/10.1016/j.jpubeco.2008.04.010
  3. Bhargava, S., & Loewenstein, G. (2015). Behavioral economics and health decision making. Health Psychology, 34(4), 327–334. https://doi.org/10.1037/hea0000169
  4. Giesler, M., & Veresiu, E. (2014). Creating the responsible consumer: Moralistic governance regimes and consumer subjectivity. Journal of Consumer Research, 41(3), 840–857. https://doi.org/10.1086/677842
  5. Jain, R., & Chetty, P. (2019, September 24). How to interpret the results of the linear regression test in SPSS? Retrieved from Project Guru: https://www.projectguru.in/interpret-results-linear-regression-test-spss/
  6. Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives? Science, 302(5649), 1338–1339. https://doi.org/10.1126/science.1091721
  7. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
  8. Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education.
  9. Loewenstein, G., Asch, D. A., & Volpp, K. G. (2013). Behavioral economics holds potential to deliver better results for patients, insurers, and employers. Health Affairs, 32(7), 1244–1250. https://doi.org/10.1377/hlthaff.2012.1163
  10. Loewenstein, G., Asch, D. A., & Volpp, K. G. (2013). Behavioral economics holds the potential to deliver better results for patients, insurers, and employers. Health Affairs, 32(7), 1244–1250. https://doi.org/10.1377/hlthaff.2012.1163
  11. Luo, H., Cheng, S., Zhou, W., Song, W., Yu, S., & Lin, X. (2021). Research on the Impact of Online Promotions on Consumers’Impulsive Online Shopping Intentions. Journal of Theoretical and Applied Electronic Commerce Research, pp.2386-2404.
  12. McKinsey & Company. (2021). Consumer health insurance insights: Closing the satisfaction gap. https://www.mckinsey.com
  13. Schneider, E. C., & Lieberman, T. (2001). Publicly disclosed information about the quality of health care: Response of the US public. BMJ, 322(7284), 1053–1056. https://doi.org/10.1136/bmj.322.7284.1053
  14. SITONG, J. (2022). Essays on Sales Promotion and Consumer Decision Making Process. Durham: Durham University.
  15. Srinivasan, V., & Till, B. D. (2002). Evaluation of search, experience and credence attributes in service consumption: Relevance for health care marketing. Journal of Services Marketing, 16(3), 208–221. https://doi.org/10.1108/08876040210427224
  16. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
  17. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
  18. Turban, E., King, D., & Lee, J. K. (2002). Electronic Commerce 2006 : A Managerial Perspective. Upper Saddle River: Prentice Hall.
  19. Volpp, K. G., & Asch, D. A. (2017). Make the healthy choice the easy choice: Using behavioral economics to advance a culture of health. The Milbank Quarterly
  20. Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2020). Services Marketing: Integrating Customer Focus Across the Firm (7th ed.). McGraw-Hill Education.

Understanding the psychological and experiential factors influencing consumer behaviour in health insurance is highly critical for improving service delivery and product design and developments. This research study explores the key pain points and preferences among consumers by employing a behavioural insights framework. Through a structured survey of 411 respondents, the research uncovers challenges such as complex policy documentation, limited flexibility in payment options, lack of personalized recommendations, and dissatisfaction with digital platforms and customer support. Simultaneously, it identifies consumer preferences for faster claims processing, customizable plans, and greater transparency. The findings provide actionable recommendations for insurers to align their offerings with evolving consumer expectations, improve user experience, and build long-term trust. By analyzing decision-making patterns, cognitive biases, and emotional drives, the research identifies key barriers to insurance adoption, such as complexity, trust deficits, and perceived value gaps. This research contributes to bridging the gap between consumer needs and insurance practices through a data-driven behavioral lens.

Keywords : Health Insurance, Consumer Behavior, Pain Points, Behavioral Insights, Consumer Preferences, and Consumer Satisfaction.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe