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

Yi Feng, Yunqiang Yin, Dujuan Wang (), Lalitha Dhamotharan, Joshua Ignatius and Ajay Kumar ()
Additional contact information
Yi Feng: Sichuan University
Yunqiang Yin: University of Electronic Science and Technology of China
Dujuan Wang: Sichuan University
Lalitha Dhamotharan: University of Exeter Business School
Joshua Ignatius: Aston University
Ajay Kumar: EMLYON Business School

Annals of Operations Research, 2023, vol. 328, issue 1, No 12, 387-418

Abstract: Abstract 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.

Keywords: Online drug treatment review; Dual-process theory; Review helpfulness; Design science approach (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-022-05121-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:328:y:2023:i:1:d:10.1007_s10479-022-05121-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-022-05121-4

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().