Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach


The transparency of online reviews of drug treatment in patients with diabetes supports the use of text analytics to investigate review helpfulness based on the dual-process theory and design science approach. The first purpose of our study is to explore the influences of informational elements (emotions with the degrees of different arousal, review length) and normative elements (perceived effectiveness and ease of use, and patient satisfaction) in online drug treatment reviews on review helpfulness. We also examine the moderate role of review length on the relationship between patient satisfaction and review helpfulness. The second purpose is to explore the influences of the review topics on review helpfulness. Our study reveals four essential findings. First, not all emotions significantly influence review helpfulness, and only low-arousal emotions have a significant positive influence on review helpfulness. Second, an inverted U-shaped relationship between review length and review helpfulness and a U-shaped relationship between patient satisfaction and review helpfulness are confirmed. Third, review length has a moderate influence on the inverted U-shaped relationship between patient satisfaction and review helpfulness. Finally, the review topics related to blood sugar, family medical history, dosing time and injection significantly influence review helpfulness. These findings may serve as a stepping stone for future research on review helpfulness in the healthcare context, offering guidance for patients with diabetes, design implications for platform providers, and drug improvement suggestions for pharmaceutical companies.

Publication DOI: https://doi.org/10.1007/s10479-022-05121-4
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Copyright © The Author(s), 2022, under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10479-022-05121-4
Uncontrolled Keywords: Online drug treatment review,Dual-process theory,Review helpfulness,Design science approach
Publication ISSN: 1572-9338
Full Text Link:
Related URLs: https://link.sp ... 479-022-05121-4 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-12-19
Published Online Date: 2022-12-19
Accepted Date: 2022-11-30
Authors: Feng, Yi
Yin, Yunqiang
Wang, Dujuan
Dhamotharan, Lalitha
Ignatius, Joshua (ORCID Profile 0000-0003-2546-4576)
Kumar, Ajay



Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 19 December 2023.

License: ["licenses_description_other" not defined]

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