Evidence map›Paper›PMID 34479566›Full record

ArticleBMC medical informatics and decision making2021

Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China.

Lin Xu, Pengfei Li, Xiaorong Hou, Hongfan Yu, Tingting Tang, Ting Liu, Shoushu Xiang, Xiaoqian Wu, Cheng Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

9 authors.

Lin XuCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.
Pengfei LiCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.
Xiaorong HouCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.
Hongfan YuCollege of Public Health and Management, Chongqing Medical University, Chongqing, China.
Tingting TangThe Children's Hospital of Chongqing Medical University, Chongqing, China.
Ting LiuMedical Data Science Academy, Chongqing Medical University, Chongqing, China.
Shoushu XiangMedical Data Science Academy, Chongqing Medical University, Chongqing, China.
Xiaoqian WuCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.
Cheng HuangCollege of Medical Informatics, Chongqing Medical University, Chongqing, China. huangcheng@cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough middle-aged and elderly users are the main group targeted by health maintenance-oriented WeChat official accounts (HM-WOAs), few studies have explored the relationship of these accounts and their users. Exploring the factors that influence the continuous adoption of WOAs is helpful to strengthen the health education of middle-aged and elderly individuals.

objectiveWe developed a new theoretical model and explored the factors that influence middle-aged and elderly individuals' continuous usage intention for HM-WOA. Performance expectancy mediated the effects of the model in explaining continuous usage intention and introduced health literacy into the model.

methodsWe established a hybrid theoretical model on the basis of the unified theory of acceptance and use of technology 2 model (UTAUT2), the health belief model (BHM), protection motivation theory (PMT), and health literacy. We collected valid responses from 396 middle-aged and elderly users aged ≥ 45 years in China. To verify our hypotheses, we analyzed the data using structural equation modeling.

resultsPerformance expectancy (β = 0.383, P < 0.001), hedonic motivation (β = 0.502, P < 0.001), social influence (β = 0.134, P = 0.049), and threat appraisal (β = 0.136, P < 0.001) positively influenced middle-aged and elderly users' continuous usage intention. Perceived health threat (β =  - 0.065, P = 0.053) did not have a significant effect on continuous usage intention. Both threat appraisal (β = 0.579, P < 0.001) and health literacy (β = 0.579, P < 0.001) positively affected performance expectancy. Threat appraisal indirectly affected continuous usage intention through performance expectancy mediation.

conclusionsOur new theoretical model is useful for understanding middle-aged and elderly users' continuous usage intention for HM-WOA. Performance expectancy plays a mediation role between threat appraisal and continuous usage intention, and health literacy positively affects performance expectancy.

Indexed as

IntentionMotivationAgedChinaHumansLatent Class AnalysisMiddle AgedSurveys and QuestionnairesContinuous usage intentionHealth maintenanceMiddle aged and elderlyStructural equation modelWeChat official accounts

Identifiers

PMID34479566
PMCPMC8413706

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.