Evidence map›Paper›PMID 39550589›Full record

ArticleBMC health services research2024

Predictors of the continuous use of an infectious disease self-management app for epidemiological investigations: a survey of young and middle-aged adults in South Korean citizens.

Mi Jung Rho, Jihwan Park

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mi Jung RhoCollege of Health Science, Dankook University, Cheonan-si, Chungcheongnam-do, Republic of Korea.
Jihwan ParkCollege of Liberal Arts, Dankook University, 119 Dandae-ro Dongnam-gu, Cheonan-si, 31116, Chungcheongnam-do, Republic of Korea. jihwanpark@dankook.ac.kr.

Funding

National Research Foundation of Korea 2020R1I1A1A01072400
6 · The paper itself

Abstract

backgroundIn the wake of the coronavirus disease-19 (COVID-19) pandemic, research on the difficulties faced by epidemiologists conducting epidemiological investigations has been progressing steadily. However, few studies have developed applications (apps) that can directly support epidemiological investigations via information and communication (ICT) technology, and conducted usability evaluations on them via user responses. This has caused difficulties when developing such technologies. We introduced and evaluated two mobile apps that support epidemiological investigations. This study attempted to identify the predictors affecting the acceptance of infectious disease self-management apps.

methodsWe developed two infectious disease self-management smartphone apps for epidemiological investigations: KODARI (the Korean version) and MEDARI (in English version). We collected data from 248 users of KODARI by surveying Korean citizens. This study was conducted from November 15 to December 14, 2022. We used multiple regression analysis to identify the variables that affected continuous intention to use the KODARI app. We conducted two independent-samples t-tests to determine whether there were any differences in the perception of each variable in relation to demographic and COVID-19-related user characteristics.

resultsThe factors that affected continuous intention to use the KODARI app, in order of relative importance, were: price value, satisfaction, performance expectancy, and facilitating conditions. Overall, male participants were more satisfied with the KODARI app than female ones, and more willing to continue using it. The male participants also evaluated facilitating conditions more positively than the female ones did. Married participants rated the app higher than single ones in terms of price value, performance expectancy, and continued intention to use.

conclusionsThe study suggests factors that increase the use of health apps and suggests that use of these apps may increase further in the event of a future pandemics. These results are expected to help researchers study other infectious disease apps in the context of public health surveillance.

Indexed as

COVID-19Mobile ApplicationsSelf-ManagementAdultFemaleHumansMaleMiddle AgedRepublic of KoreaSARS-CoV-2Surveys and QuestionnairesYoung AdultAppCOVID-19Epidemiological investigationIntention to useUsers’ Assessment

Identifiers

PMID39550589
PMCPMC11568544

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.