Evidence map›Paper›PMID 37021126›Full record

ArticleDigital health

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps.

Yongyan Guo, Tingting Wen, Siyu Yue, Xiaoran Zhao, Keke Huang

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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.

Yongyan GuoSchool of Art Design and Media, East China University of Science and Technology of Art Design and Media, Shanghai, China.ORCID https://orcid.org/0000-0003-3283-255X
Tingting WenSchool of Art Design and Media, East China University of Science and Technology of Art Design and Media, Shanghai, China.ORCID https://orcid.org/0000-0002-9127-1724
Siyu YueSchool of Art Design and Media, East China University of Science and Technology of Art Design and Media, Shanghai, China.
Xiaoran ZhaoSchool of Art Design and Media, East China University of Science and Technology of Art Design and Media, Shanghai, China.
Keke HuangSchool of Art Design and Media, East China University of Science and Technology of Art Design and Media, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of mobile communication technology, persuasive technology is widely used in mobile health. Using personalized persuasive strategies in mobile health education (MHE) apps can effectively improve users' health literacy and health behaviors. The transtheoretical model explains the process of user behavior change. Different usage frequency of the app reflects changes in user behavior. However, few studies have examined how the perceived importance of persuasive strategies among older adults changes with increasing use frequency. In this study, we analyzed the sensitivity of 111 older adults in China to persuasive strategies in MHE apps. Thirteen persuasive strategies were selected for this study. A repeated measure analysis of variance (RM-ANOVA) was used to demonstrate the influence of gender, health information attention and frequency of use on the sensitivity of perceived persuasive strategies among older adults. The results revealed older adults with a high usage frequency of health apps were more receptive to persuasive strategies, especially in social comparison strategy. This result may help developers consider factors such as the frequency of use by older users when designing personalized persuasive strategies for MHE apps.

Indexed as

mobile health educationolder adultsPersonalized persuasive strategiespersuasiveness measurementthe transtheoretical modelusage frequency

Identifiers

PMID37021126
PMCPMC10068977

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.