Evidence map›Paper›PMID 41162959›Full record

ArticleBMC health services research2025

The role of mobile devices in fostering the engagement of stigmatized patients in online health communities.

Johana Hajdini, Stefano Za, Taşkın Dirsehan, Lea Iaia

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Johana HajdiniDepartment of Management and Marketing, European University of Tirana, Tirana, Albania. johana.hajdini@uet.edu.al.ORCID http://orcid.org/0000-0002-8876-4157
Stefano ZaDepartment of Management and Business Administration, University "Gabriele d'Annunzio" of Chieti-Pescara, Viale Pindaro, 42, 65127, Pescara, Italy.ORCID http://orcid.org/0000-0002-7197-8183
Taşkın DirsehanFaculty of Business Administration, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-3599-0951
Lea IaiaDepartment of Computer Sciences, University of Turin, Turin, Italy. lea.iaia@unito.it.ORCID http://orcid.org/0000-0003-4650-1233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline health communities have emerged to play an important role in delivering support to specific categories of patients. Therefore, the focus of this research is the investigation of satisfaction and engagement intention in online communities of support for patients experiencing a stigmatizing health condition. By integrating Channel Expansion Theory and Expectation-Confirmation Theory, we developed a predictive model to understand the relationships between perceived support, satisfaction, and engagement in online health communities.

methodsUsing a snowball sampling method, empirical data from 148 participants of online health communities were collected and analysed through means of structural equation modelling, considering the suitability to the sample size and its wide application in technology continuance intention research.

resultsThe findings suggest that the relationship between perceived support and satisfaction is mediated by frequency of usage of online communities and individuals’ satisfaction has considerable influence on their consequent engagement. Moreover, this study highlights the moderating effect of mobile interaction on the relationship between perceived support and frequency of usage of online health communities such that the strongest association between perceived support and frequency of usage occurs for individuals who report higher usage of mobile devices to access the online community.

conclusionsImportant managerial implications were drawn for improving participant satisfaction and maintaining engagement. Drawing on the findings online health communities play are an important source for support for stigmatized patients. Implications for decision-makers highlight the need to make those communities more accessible via mobile devices.

Indexed as

Cell PhoneSocial SupportStereotypingAdultDigital HealthDigital MediaFemaleHumansInternetMaleMiddle AgedPatient SatisfactionYoung AdultChannel expansion theoryEngagement intentionExpectation-confirmation theoryOnline health communitiesPerceived supportSatisfaction

Identifiers

PMID41162959
PMCPMC12574276

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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.