» Articles » PMID: 38601508

Effectiveness and Intention to Use a COVID-19 Self-management App for Epidemiological Investigation: a Web-based Survey Study

Overview
Specialty Public Health
Date 2024 Apr 11
PMID 38601508
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Numerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological investigations, factors influencing users' intention to use them, and ways to encourage their use.

Methods: We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample -tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use.

Results: Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app's information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app's self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use.

Discussion: This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.

Citing Articles

[Innovative e-learning tool for amputees in Ukraine and Germany : Digital assistance for self-help in interdisciplinary rehabilitative care].

Egen C, Gutenbrunner C, Ernst J, Sturm C, Schiller J Unfallchirurgie (Heidelb). 2025; .

PMID: 40053103 DOI: 10.1007/s00113-025-01543-4.

References
1.
Mosa A, Yoo I, Sheets L . A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 2012; 12:67. PMC: 3534499. DOI: 10.1186/1472-6947-12-67. View

2.
Sawik B, Plonka J . Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation. Int J Environ Res Public Health. 2022; 19(3). PMC: 8835605. DOI: 10.3390/ijerph19031416. View

3.
Yamamoto K, Takahashi T, Urasaki M, Nagayasu Y, Shimamoto T, Tateyama Y . Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study. JMIR Mhealth Uhealth. 2020; 8(7):e19902. PMC: 7340163. DOI: 10.2196/19902. View

4.
Park J, Han J, Kim Y, Rho M . Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study. JMIR Med Inform. 2021; 9(7):e29315. PMC: 8330629. DOI: 10.2196/29315. View

5.
Ekong I, Chukwu E, Chukwu M . COVID-19 Mobile Positioning Data Contact Tracing and Patient Privacy Regulations: Exploratory Search of Global Response Strategies and the Use of Digital Tools in Nigeria. JMIR Mhealth Uhealth. 2020; 8(4):e19139. PMC: 7187764. DOI: 10.2196/19139. View