ArticleReproductive health2025
E-health literacy and influencing factors of in vitro fertilization-embryo transfer patients: a latent profile analysis.
Article in Reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundE-health literacy is critical to driving healthy behaviors in in vitro fertilization-embryo transfer (IVF-ET) patients. However, the underlying subgroups of e-health literacy in IVF-ET patients and their influencing factors are unclear.
methodsFrom July 2023 to January 2024, 1200 participants were recruited from a women's and children's hospital, using a convenience sampling method. The participants completed the E-health Literacy Scale, the General Self-efficacy Scale and the General Demographic Information Questionnaire. Latent Profile Analysis (LPA) with Mplus 8.0 identified potential e-health literacy categories in IVF-ET patients. Group differences were analyzed using chi-square tests or one-way ANOVA in SPSS 25.0. Multiple logistic regression (SPSS 25.0) explored factors associated with e-health literacy.
resultsA total of 1074 valid questionnaires were included. Three potential categories were revealed, namely "low e-health literacy group" (N = 455, 42.4%), "medium e-health literacy group" (N = 505, 47.0%), and "high e-health literacy group" (N = 114, 10.6%). Multivariate logistic regression showed that interest in electronic health information search (β = 1.882, P = 0.005, OR = 6.565, 95% CI: 1.741-24.748), attitude toward electronic health information (β = 3.088, P < 0.001, OR = 21.929, 95% CI: 4.599-104.555), lack of access to electronic health information (β = -3.376, P = 0.002, OR = 0.034, 95% CI: 0.004-0.298), and self-efficacy (β = 0.341, P < 0.001, OR = 1.406, 95% CI: 1.332-1.484) were significant predictors of higher e-health literacy in IVF-ET patients.
conclusionsThe e-health literacy level among IVF-ET patients requires further enhancement. This can be achieved by fostering patients' interest and positive attitudes toward seeking e-health information and strengthening their self-efficacy. Such strategies not only elevate e-health literacy but also enhance patients' capacity to utilize e-health services effectively, ultimately contributing to improved reproductive health outcomes.
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.