Evidence map›Paper›PMID 36099015›Full record

ArticleJMIR cancer2022

Knowledge Acquisition and Social Support in Online Health Communities: Analysis of an Online Ovarian Cancer Community.

Yu Chi, Khushboo Thaker, Daqing He, Vivian Hui, Heidi Donovan, Peter Brusilovsky, Young Ji Lee

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06501365 (Post-Intensive Care Transitional Care, Rehabilitation, and Family-Support RCT), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-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.

NCT06501365 naterminatednot on this mapstarted 2025, after this paper: background citation

Post-Intensive Care Transitional Care, Rehabilitation, and Family-Support RCT

TypeinterventionalSponsorUniversity of PittsburghRan2025 to 2026Enrolled2ConditionsIntensive Care Unit Syndrome, Disabilities Multiple, Critical Illness, Caregiver BurdenArmsPost Intensive Care Transitions Rehabilitation and Family Support (PIC-TRFS), Enhanced Usual Care Control
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yu ChiSchool of Information Science, University of Kentucky, Lexington, KY, United States.ORCID https://orcid.org/0000-0001-8838-3023
Khushboo ThakerSchool of Computing and Information, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-3619-9376
Daqing HeSchool of Computing and Information, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-4645-8696
Vivian HuiSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-1966-6139
Heidi DonovanSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-4889-8644
Peter BrusilovskySchool of Computing and Information, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-1902-1464
Young Ji LeeSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-6359-4721
University of Pittsburgh · USUniversity of Kentucky · US

Funding

Development and Implementation of a Health e-Librarian with Personalized Recommender (HELPeR)R01LM013038 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HE, DAQING, LEE, YOUNG JI · 2019 to 2022
$1.3M
NLM NIH HHS R01 LM013038
6 · The paper itself

Abstract

backgroundPatients and caregivers widely use online health communities (OHCs) to acquire knowledge from peers. Questions posed in OHCs reflect participants' learning objectives and differ in their level of cognitive complexity. However, little is known about the topics and levels of participants' learning objectives and the corresponding support they receive from members of OHCs.

objectiveThis study aimed to investigate the knowledge acquisition of patients and caregivers in an OHC. Specifically, we investigated the distribution and topics of posts with learning objectives at different cognitive complexity levels, the type and amount of social support provided to meet users' learning objectives at different cognitive complexity levels, and the influence of social support on the change in learning objectives.

methodsWe collected 10 years of discussion threads from one of the most active ovarian cancer (OvCa) OHCs. A mixed methods approach was used, including qualitative content analysis and quantitative statistical analysis. Initial posts with questions were manually classified into 1 of the 3 learning objectives with increasing cognitive complexity levels, from low to high, based on the Anderson and Krathwohl taxonomy: understand, analyze, and evaluate. Manual content analysis and automatic classification models were used to identify the types of social support in the comments, including emotional support and 5 types of informational support: advice, referral, act, personal experience, and opinion.

resultsThe original data set contained 909 initial posts and 14,816 comments, and the final data set for the analysis contained 560 posts with questions and 3998 comments. Our results showed that patients with OvCa and their caregivers mainly used OHCs to acquire knowledge for low- to medium-level learning objectives. Of the questions, 82.3% (461/560) were either understand- or analyze-level questions, in which users were seeking to learn basic facts and medical concepts or draw connections among different situations and conditions. Only 17.7% (99/560) of the questions were at the evaluate level, in which users asked other OHC members to help them make decisions or judgments. Notably, OvCa treatment was the most popular topic of interest among all the questions, regardless of the level of learning objectives. Regarding the social support received for different levels of learning objectives, significant differences were found in the advice (F

conclusionsOur study establishes that OHCs are promising resources for acquiring knowledge of OvCa. Our findings have implications for designing better OHCs that serve the growing OvCa community.

Indexed as

health information needsknowledge acquisitiononline health communityovarian cancersocial support

Identifiers

PMID36099015
PMCPMC9516379
OpenAlexW4284993934

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.