ArticleBMC medical informatics and decision making2022
Exploring the effects of health information seeking on e-satisfaction in online health communities: an empirical investigation.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- The Impact of Perceived Quality on Patients' Adoption and Usage of Online Health Consultations: An Empirical Study Based on Trust Theory.Healthcare (Basel, Switzerland) · 2025Article
- User avoidance behavior in pharmaceutical e-commerce intelligent customer service: a stressor-strain-outcome perspective.Frontiers in psychology · 2025Article
- Understanding the preference of online health information seeking among college students using the best-worst scaling method.Frontiers in public health · 2025Article
- Development of a User-friendly Health Promotion Website to Spread Evidence-based Information in Italy.Journal of preventive medicine and hygiene · 2024Article
- Effect of patient satisfaction on the utilization of mHealth services by patients with chronic disease.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOnline health communities (OHCs) are becoming effective platforms for people to seek health information. Existing studies divide health information into general and specific information in OHCs. However, few studies discuss the effects of different types of information seeking in OHCs on users' electronic satisfaction (e-satisfaction).
objectiveThis study explores the effects of general and specific information seeking on users' e-satisfaction with OHCs through the mediating roles of perceived benefits and costs drawing on the social information processing theory and the social exchange theory.
methodsThis study conducted an online survey to collected data from individuals who used OHCs to seek information. The structural equation model was used to analyze the collect data and the research model. Specifically, this study examined the common method bias and conducted a robustness check.
resultsResults show that general and specific information seeking affect e-satisfaction through the mediating roles of perceived benefits and costs. An interesting result is that general information seeking has a stronger effect on e-satisfaction than specific information seeking.
conclusionsThis study suggests that e-satisfaction should be further enhanced by information seeking as online healthcare practices evolve and change. Managers of OHCs should focus on increasing users' perceived benefits, thereby increasing their e-satisfaction. Besides, this study discusses implications, limitations, and future research directions.
Indexed as
Identifiers
What OpenQuestion holds
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.