Evidence map›Paper›PMID 32234698›Full record

ArticleJournal of medical Internet research2020

Patients' Willingness to Share Information in Online Patient Communities: Questionnaire Study.

Panpan Zhu, Jiang Shen, Man Xu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 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

3 authors.

Panpan ZhuCollege of Management and Economics, Tianjin University, Tianjin, China.ORCID 0000-0003-1313-8108
Jiang ShenCollege of Management and Economics, Tianjin University, Tianjin, China.ORCID 0000-0003-0109-8815
Man XuBusiness School, Nankai University, Tianjin, China.ORCID 0000-0002-2392-2425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline patient communities provide new channels for users to access and share medical information. In-depth study of users' willingness to share information in online patient communities is of great significance for improving the level of information sharing among the patient community and the long-term development of communities.

objectiveThe aim of this study was to build a model of factors affecting patients' willingness to share medical information from the perspective of both positive and negative utilities. Specifically, we aimed to determine the influence of online information support and privacy concerns, as well as the moderating effect of disease severity and information sensitivity of different patients on their willingness to share.

methodsData from 490 users with experience in online patient communities were collected through a questionnaire survey, and structural equations were applied to empirically verify the model hypotheses.

resultsPrivacy concerns negatively affected the patients' willingness to share information (P<.001), whereas online information support positively affected patients' willingness to share information (P<.001), and information sensitivity negatively moderated the impact of online information support on sharing willingness (P=.01). Disease severity positively moderated the impact of privacy concerns on sharing willingness (P=.05). However, the hypotheses that information sensitivity is a negative moderator and disease severity is a positive moderator of the impact of privacy concerns on sharing willingness could not be supported.

conclusionsTo improve the level of user information sharing, the online patient community should design a safe user registration process, ensure the confidentiality of information, reduce the privacy concerns of users, and accurately identify the information needs of patients to provide personalized support services.

Indexed as

AdultConfidentialityFemaleHumansInformation DisseminationMaleMiddle AgedSurveys and QuestionnairesTelemedicineYoung Adultinformation sharingonline patient communityquestionnairestructural equationwillingness to share

Identifiers

PMID32234698
PMCPMC7160706

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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.