IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v24y2022i4d10.1007_s10796-021-10125-9.html
   My bibliography  Save this article

Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences

Author

Listed:
  • Sergey Motorny

    (College of Business and Information Systems, Dakota State University)

  • Surendra Sarnikar

    (California State University East Bay)

  • Cherie Noteboom

    (Dakota State University)

Abstract

An emerging trend in healthcare delivery is that of patient-centered medicine which includes empowering patients through shared decision-making in their medical care. The use of information technology is a key enabler for empowering patients and supporting patient-centered care. The patient decision aid is one tool for getting patients more involved in their care. However, existing patient decision aids make generalized assumptions about their users and fail to accommodate the variability of individual information needs and decision-making preferences known in the literature. In this paper, we investigate patient attributes that influence patient decision-making preferences and present a framework for the design of individualized patient decision aids. The proposed framework is instantiated in the context of end stage renal disease and was tested to evaluate its effectiveness.

Suggested Citation

  • Sergey Motorny & Surendra Sarnikar & Cherie Noteboom, 2022. "Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences," Information Systems Frontiers, Springer, vol. 24(4), pages 1249-1264, August.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:4:d:10.1007_s10796-021-10125-9
    DOI: 10.1007/s10796-021-10125-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10125-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-021-10125-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Margaret Holmes-Rovner & Wendy L. Nelson & Michael Pignone & Glyn Elwyn & David R. Rovner & Annette M. O'Connor & Angela Coulter & Rosaly Correa-de-Araujo, 2007. "Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium," Medical Decision Making, , vol. 27(5), pages 599-608, September.
    2. Paul C. Schroy III & Karen Emmons & Ellen Peters & Julie T. Glick & Patricia A. Robinson & Maria A. Lydotes & Shamini Mylvanaman & Stephen Evans & Christine Chaisson & Michael Pignone & Marianne Prout, 2011. "The Impact of a Novel Computer-Based Decision Aid on Shared Decision Making for Colorectal Cancer Screening," Medical Decision Making, , vol. 31(1), pages 93-107, January.
    3. C. Derrick Huang & Jahyun Goo & Ravi S. Behara & Ankur Agarwal, 2020. "Clinical Decision Support System for Managing COPD-Related Readmission Risk," Information Systems Frontiers, Springer, vol. 22(3), pages 735-747, June.
    4. Kevin Miller & Gunjan Mansingh, 2017. "OptiPres: a distributed mobile agent decision support system for optimal patient drug prescription," Information Systems Frontiers, Springer, vol. 19(1), pages 129-148, February.
    5. Jimin Guo & Benjamin C. M. Fung & Farkhund Iqbal & Peter J. K. Kuppen & Rob A. E. M. Tollenaar & Wilma E. Mesker & Jean-Jacques Lebrun, 2017. "Revealing determinant factors for early breast cancer recurrence by decision tree," Information Systems Frontiers, Springer, vol. 19(6), pages 1233-1241, December.
    6. Dalal, Reeshad S. & Bonaccio, Silvia, 2010. "What types of advice do decision-makers prefer?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 112(1), pages 11-23, May.
    7. Annette M. O'Connor & Dawn Stacey & Michael J. Barry & Nananda F. Col & Karen B. Eden & Vikki Entwistle & Valerie Fiset & Margaret Holmes-Rovner & Sara Khangura & Hilary Llewellyn-Thomas & David R. Ro, 2007. "Do Patient Decision Aids Meet Effectiveness Criteria of the International Patient Decision Aid Standards Collaboration? A Systematic Review and Meta-analysis," Medical Decision Making, , vol. 27(5), pages 554-574, September.
    8. Heller, Daniel & Levin, Irwin P. & Goransson, Martin, 2002. "Selection of strategies for narrowing choice options: Antecedents and consequences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 89(2), pages 1194-1213, November.
    9. Fereshteh Ghahramani & Jingguo Wang, 2020. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 22(6), pages 1275-1290, December.
    10. James G. Dolan & Susan Frisina, 2002. "Randomized Controlled Trial of a Patient Decision Aid for Colorectal Cancer Screening," Medical Decision Making, , vol. 22(2), pages 125-139, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. France Légaré & Stéphane Turcotte & Dawn Stacey & Stéphane Ratté & Jennifer Kryworuchko & Ian Graham, 2012. "Patients’ Perceptions of Sharing in Decisions," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(1), pages 1-19, March.
    2. Alexandra Rausch & Alexander Brauneis, 2015. "It’s about how the task is set: the inclusion–exclusion effect and accountability in preprocessing management information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 313-344, June.
    3. Chang, Shin-Shin & Chang, Chung-Chau & Liao, Yen-Yi, 2015. "A joint examination of effects of decision task type and construal level on the attraction effect," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 168-182.
    4. Mourali, Mehdi & Nagpal, Anish, 2013. "The powerful select, the powerless reject: Power's influence in decision strategies," Journal of Business Research, Elsevier, vol. 66(7), pages 874-880.
    5. Sprenger, Julia, 2016. "Explanations or advice: The impact of financial literacy on information acquisition behavior," Ruhr Economic Papers 626, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Wu, Zhibin & Huang, Shuai & Xu, Jiuping, 2019. "Multi-stage optimization models for individual consistency and group consensus with preference relations," European Journal of Operational Research, Elsevier, vol. 275(1), pages 182-194.
    7. repec:cup:judgdm:v:4:y:2009:i:2:p:141-146 is not listed on IDEAS
    8. Armstrong, David, 2023. "The social life of risk probabilities in medicine," Social Science & Medicine, Elsevier, vol. 323(C).
    9. Angela Fagerlin & Karen R. Sepucha & Mick P. Couper & Carrie A. Levin & Eleanor Singer & Brian J. Zikmund-Fisher, 2010. "Patients’ Knowledge about 9 Common Health Conditions: The DECISIONS Survey," Medical Decision Making, , vol. 30(5_suppl), pages 35-52, September.
    10. Fili, Andreas, 2014. "Mentoring the CEO or monitoring the ROI? The business angel's interrole conflict in the venture relationship," Working Paper Series 14/7, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    11. Sprenger, Julia, 2016. "Financial literacy: A barrier to seek financial advice but not a shield against following it," Ruhr Economic Papers 634, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Kausel, Edgar E. & Culbertson, Satoris S. & Leiva, Pedro I. & Slaughter, Jerel E. & Jackson, Alexander T., 2015. "Too arrogant for their own good? Why and when narcissists dismiss advice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 131(C), pages 33-50.
    13. John D. Jasper & Daniel Ansted, 2008. "Liberal-conservative differences in inclusion-exclusion strategy choice," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3, pages 417-424, June.
    14. W. Robert Knechel & Justin Leiby, 2016. "If You Want My Advice: Status Motives and Audit Consultations About Accounting Estimates," Journal of Accounting Research, Wiley Blackwell, vol. 54(5), pages 1331-1364, December.
    15. Tomás Lejarraga & Johannes Müller-Trede, 2017. "When Experience Meets Description: How Dyads Integrate Experiential and Descriptive Information in Risky Decisions," Management Science, INFORMS, vol. 63(6), pages 1953-1971, June.
    16. Haran, Uriel & Mazar, Asaf & Hurwitz, Mordechai & Moran, Simone, 2022. "Confidently at your service: Advisors alter their stated confidence to be helpful," Organizational Behavior and Human Decision Processes, Elsevier, vol. 171(C).
    17. repec:cup:judgdm:v:4:y:2009:i:1:p:51-63 is not listed on IDEAS
    18. repec:cup:judgdm:v:3:y:2008:i::p:417-424 is not listed on IDEAS
    19. Christopher E. Knoepke & Erin L. Chaussee & Daniel D. Matlock & Jocelyn S. Thompson & Colleen K. McIlvennan & Amrut V. Ambardekar & Elisabeth M. Schaffer & Prateeti Khazanie & Laura Scherer & Robert M, 2022. "Changes over Time in Patient Stated Values and Treatment Preferences Regarding Aggressive Therapies: Insights from the DECIDE-LVAD Trial," Medical Decision Making, , vol. 42(3), pages 404-414, April.
    20. Wei Zhang & Qingpu Zhang, 2014. "Multi-stage evaluation and selection in the formation process of complex creative solution," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2375-2404, September.
    21. Lyndal Trevena, 2021. "Commentary on History of IPDAS," Medical Decision Making, , vol. 41(7), pages 734-735, October.
    22. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
    23. Shih-Chia Huang & Suzanne McIntosh & Stanislav Sobolevsky & Patrick C. K. Hung, 2017. "Big Data Analytics and Business Intelligence in Industry," Information Systems Frontiers, Springer, vol. 19(6), pages 1229-1232, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:24:y:2022:i:4:d:10.1007_s10796-021-10125-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.