Evidence map›Paper›PMID 28851677›Full record

Observational studyJournal of medical Internet research2017

Engagement as a Driver of Growth of Online Health Forums: Observational Study.

Rahul Gopalsamy, Alexander Semenov, Eduardo Pasiliao, Scott McIntosh, Alexander Nikolaev

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Rahul GopalsamySocial Optimization Laboratory, Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, United States.ORCID 0000-0001-5842-2183
Alexander SemenovSOMEA Group, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0003-2691-4575
Eduardo PasiliaoMunitions Directorate, Air Force Research Laboratory, Eglin, FL, United States.ORCID 0000-0002-6403-6649
Scott McIntoshDepartment of Public Health Sciences, University of Rochester, Rochester, NY, United States.ORCID 0000-0002-5776-9617
Alexander Nikolaev *Social Optimization Laboratory, Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, United States.ORCID 0000-0002-5364-0672

Funding

Web-Assisted Tobacco Intervention with Community College StudentsR01CA152093 · NCI · UNIVERSITY OF ROCHESTER · PI MCINTOSH, SCOTT · 2011 to 2015
$2.5M
NCI NIH HHS R01 CA152093
6 · The paper itself

Abstract

backgroundThe emerging research on nurturing the growth of online communities posits that it is in part attributed to network effects, wherein every increase in the volume of user-generated content increases the value of the community in the eyes of its potential new members. The recently introduced metric engagement capacity offers a means of quantitatively assessing the ability of online platform users to engage each other into generating content; meanwhile, the quantity engagement value is useful for quantifying communication-based platform use. If the claim that higher engagement leads to accelerated growth holds true for online health forums (OHFs), then engagement tracking should become an important tool in the arsenal of OHF managers. Indeed, it might allow for quantifying the ability of an OHF to exploit network effects, thus predicting the OHF's future success.

objectiveThis study aimed to empirically analyze the relationship between internal OHF use (quantified using engagement measurement), and external growth.

methodsWe collected data from 7 OHFs posted between the years 1999 and 2016. Longitudinal analyses were conducted by evaluating engagement in the OHFs over time. We analyzed 2-way causality effects between the engagement value and metrics evaluating OHF growth using Granger causality tests. User activity metrics per week were correlated with engagement metrics, followed by linear regression analyses.

resultsObservational data showed a 1-way causal relationship between the OHF engagement value and reach (P=.02). We detected a 2-way causal relationship between the engagement value and delurking, with further analysis indicating that the engagement value was more likely to cause delurking (P<.001 with lag 2; for the reverse hypothesis, P=.01 with lag 2). Users who engaged each other more were more likely (up to 14 times, depending on how much one user engaged another) to develop personal connections. Finally, we found that the more engaging an OHF user was in a given week, the more likely (up to 2 times, depending on their ability to engage others) they were to remain active in the OHF in the following week.

conclusionsThis study supports the claim that network effects play an important role in accelerating OHF growth, opening the door to exploiting these effects in calculated ways. In such efforts, engagement metrics can be used to monitor the "health" of an OHF and to identify the users most important to its success.

Indexed as

Health ServicesSocial SupportCommunicationFemaleHumansInternetMaleTelemedicineeHealthengagementengagement capacityonline health communityonline health forumsocial network analysissuperuser

Identifiers

PMID28851677
PMCPMC5596302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.