Evidence map›Paper›PMID 33847596›Full record

ArticleJMIR mHealth and uHealth2021

Smartphone Users' Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study.

Eunsin Joo, Anastasia Kononova, Shaheen Kanthawala, Wei Peng, Shelia Cotten

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 29 citations in OpenAlex.

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  6. The Recent Advances of Mobile Healthcare in Cardiology Practice.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Review
  7. Article
  8. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Eunsin JooDepartment of Public Relations and Advertising, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China.ORCID 0000-0003-0743-8964
Anastasia KononovaDepartment of Advertising and Public Relations, Michigan State University, East Lansing, MI, United States.ORCID 0000-0001-6636-0357
Shaheen KanthawalaDepartment of Journalism and Creative Media, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0001-9321-0266
Wei PengDepartment of Media and Information, Michigan State University, East Lansing, MI, United States.ORCID 0000-0003-1576-4532
Shelia CottenDepartment of Sociology, Anthropology, and Criminal Justice, Clemson University, Clemson, SC, United States.ORCID 0000-0002-8657-8262
Michigan State University · USBeijing Normal-Hong Kong Baptist University · CNClemson University · USUniversity of Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersuasion knowledge, commonly referred to as advertising literacy, is a cognitive dimension that embraces recognition of advertising, its source and audience, and understanding of advertisers' persuasive and selling intents as well as tactics. There is little understanding of users' awareness of organizations that develop or sponsor mobile health (mHealth) apps, especially in light of personal data privacy. Persuasion knowledge or recognition of a supporting organization's presence, characteristics, competencies, intents, and persuasion tactics are crucial to investigate because app users have the right to know about entities that support apps and make informed decisions about app usage. The abundance of free consumer mHealth apps, especially those in the area of fitness, often makes it difficult for users to identify apps' dual purposes, which may be related to not only helping the public manage health but also promoting the supporting organization itself and collecting users' information for further consumer targeting by third parties.

objectiveThis study aims to investigate smartphone users' awareness of mHealth apps' affiliations with 3 different types of supporting organizations (commercial, government, and nonprofit); differences in users' persuasion knowledge and mHealth app quality and credibility evaluations related to each of the 3 organization types; and users' coping mechanisms for dealing with personal information management within consumer mHealth apps.

methodsIn-depth semistructured interviews were conducted with 25 smartphone users from a local community in midwestern United States. Interviews were thematically analyzed using inductive and deductive approaches.

resultsParticipants indicated that their awareness of and interest in mHealth app-supporting organizations were secondary to the app's health management functions. After being probed, participants showed a high level of persuasion knowledge regarding the types of app-supporting organizations and their promotional intents. They thought that commercial companies sponsored mHealth apps mostly as entertainment tools, whereas noncommercial entities sponsored mHealth apps for users' education. They assigned self-promotional motives to commercial organizations; however, they associated commercial mHealth apps with good quality and functioning. Noncommercial entities were perceived as more credible. Participants were concerned about losing control over personal information within mHealth apps supported by different organizations. They used alternative digital identities to protect themselves from privacy invasion and advertising spam. They were willing to trade some personal information for high-quality commercial mHealth apps. There was a sense of fatalism in discussing privacy risks linked to mHealth app usage, and some participants did not perceive the risks to be serious.

conclusionsThe discussion of and recommendations for the safe and ethical use of mHealth apps associated with organizations' promotional strategies and personal data protection are provided to ensure users' awareness of and enhanced control over digitalized personal information flows. The theoretical implications are discussed in the context of the Persuasion Knowledge Model and dual-processing theories.

Indexed as

Mobile ApplicationsTelemedicineComputer SecurityHumansPersuasive CommunicationSmartphonemHealth appmobile phonemobile promotion strategypersonal health information sharingpersuasion knowledge

Identifiers

PMID33847596
PMCPMC8080138
OpenAlexW3133489225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.