Willingness to pay for health apps, its sociodemographic correlates, and reasons for being unwilling to pay
- PMID: 38698831
- PMCID: PMC11064745
- DOI: 10.1177/20552076241248925
Willingness to pay for health apps, its sociodemographic correlates, and reasons for being unwilling to pay
Abstract
Background: Knowledge about whether, how much, and why individuals are willing to pay for health apps is limited.
Objectives: This study aimed to examine (1) the proportion of individuals willing to pay for health apps, (2) their willingness to pay (WTP; i.e. the maximum price the individual is willing to pay) for health apps, (3) the sociodemographic correlates determining whether individuals are willing to pay for these apps, (4) the sociodemographic correlates of their WTP, and (5) reasons for being unwilling to pay.
Methods: Six hundred adults were invited to participate in a questionnaire survey examining their sociodemographic characteristics, WTP for health apps, and reasons for being unwilling to pay. Sociodemographic characteristics and WTP for health apps were analyzed using descriptive statistics. Logistic regression was applied to examine the sociodemographic variables correlated with whether individuals were willing to pay for health apps. Among those who were willing to pay, log-linear regression was conducted to examine the sociodemographic correlates of their WTP. The reasons for unwillingness to pay were descriptively analyzed.
Results: A total of 577 individuals completed the questionnaire. Of them, 58.9% were willing to pay for health apps. Their median WTP was HK$50 (HK$1 ≈ US$0.13). Participants with a bachelor's degree or higher and those who had previously installed health apps were more inclined to pay for health apps. WTP was positively associated with the maximum price previously paid for a health app. The most frequently cited reasons for being unwilling to pay were the belief that the government should provide free health apps, distrust in health apps, and a lack of awareness of health apps and their benefits.
Conclusions: This study provides insights that can inform strategies to enhance the marketability, affordability, and accessibility of health apps.
Keywords: Health apps; mHealth; sociodemographic correlates; willingness to pay.
© The Author(s) 2024.
Conflict of interest statement
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Similar articles
-
A discrete choice experiment to examine the factors influencing consumers' willingness to purchase health apps.Mhealth. 2023 Jul 3;9:21. doi: 10.21037/mhealth-22-39. eCollection 2023. Mhealth. 2023. PMID: 37492118 Free PMC article.
-
Examining Willingness-to-Pay and Zero Valuations for a Health Improvement with Logistic Regression.Inquiry. 2021 Jan-Dec;58:469580211028102. doi: 10.1177/00469580211028102. Inquiry. 2021. PMID: 34271848 Free PMC article.
-
Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program.JMIR Mhealth Uhealth. 2019 Jan 17;7(1):e3. doi: 10.2196/mhealth.9990. JMIR Mhealth Uhealth. 2019. PMID: 30664488 Free PMC article.
-
Willingness to Pay for Antiretroviral Drugs Covered by Medical Insurance among People Living with HIV in 18 Chinese Cities.Biomed Environ Sci. 2024 Nov 20;37(11):1283-1293. doi: 10.3967/bes2024.105. Biomed Environ Sci. 2024. PMID: 39667965
-
Status of public-private partnership recognition and willingness to pay for private health care in China.Int J Health Plann Manage. 2019 Apr;34(2):e1188-e1199. doi: 10.1002/hpm.2757. Epub 2019 Mar 12. Int J Health Plann Manage. 2019. PMID: 30861613
Cited by
-
Effect of patient satisfaction on the utilization of mHealth services by patients with chronic disease.Digit Health. 2025 Apr 15;11:20552076251333983. doi: 10.1177/20552076251333983. eCollection 2025 Jan-Dec. Digit Health. 2025. PMID: 40297355 Free PMC article.
-
Enhancing Mobile App Adoption for Type 2 Diabetes Mellitus Medication Adherence and Self-Management: A Grounded Theory Study.J Diabetes Sci Technol. 2025 Jun 21:19322968251349851. doi: 10.1177/19322968251349851. Online ahead of print. J Diabetes Sci Technol. 2025. PMID: 40543017 Free PMC article.
References
-
- Kern LM, Kaushal R. Health information technology and health information exchange in New York state: new initiatives in implementation and evaluation. J Biomed Inform 2007; 40: S17–S20. - PubMed
-
- Yan M, Or C. A 12-week pilot study of acceptance of a computer-based chronic disease self-monitoring system among patients with type 2 diabetes mellitus and/or hypertension. Health Informatics J 2019; 25: 828–843. - PubMed
LinkOut - more resources
Full Text Sources