Evidence map›Paper›PMID 36142055›Full record

ArticleInternational journal of environmental research and public health2022

Exploring Users' Health Behavior Changes in Online Health Communities: Heuristic-Systematic Perspective Study.

Liyue Gong, Hao Jiang, Xusheng Wu, Yi Kong, Yunyun Gao, Hao Liu, Yi Guo, Dehua Hu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Liyue GongDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Hao JiangDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Xusheng WuShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.
Yi KongDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Yunyun GaoDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Hao LiuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Yi GuoDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.ORCID 0000-0003-2727-9809
Dehua HuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: With the continuous advancement of internet technology, use of the internet along with medical service provides a new solution to solve the shortage of medical resources and the uneven distribution of available resources. Online health communities (OHCs) that emerged at this historical moment have flourished with various advantages, such as being free from location and time constraints. Understanding users' behavior changes via engagement in OHCs is necessary to support the development of internet medicine and promote public health. (2) Methods: The hypotheses of our research model were developed based on the protective action decision model (PADM) and heuristic-systematic model (HSM). A questionnaire was developed with seven constructs through previous studies and verified using a presurvey. Our survey respondents are online health community users. We used structural equation modelling to test the research hypotheses. (3) Results: The results of the analysis of 290 valid samples showed that the research model fit the data collected well. The perceived benefits (PB) positively affect information needs (IN) (beta = 0.280,

Indexed as

HeuristicsTelemedicineHealth BehaviorInternetPublic HealthSurveys and Questionnaireshealth behavior changeHSMinformation processingonline health communitiesPADM

Identifiers

PMID36142055
PMCPMC9517559
OpenAlexW4296353884

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.