Lidan Xu, Tingting Guo, Fangfang Chen, Ya Ma, Yuying Yan
{"title":"E-health literacy and influencing factors of in vitro fertilization-embryo transfer patients: a latent profile analysis.","authors":"Lidan Xu, Tingting Guo, Fangfang Chen, Ya Ma, Yuying Yan","doi":"10.1186/s12978-025-02113-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>E-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.</p><p><strong>Methods: </strong>From 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.</p><p><strong>Results: </strong>A 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.</p><p><strong>Conclusions: </strong>The 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.</p>","PeriodicalId":20899,"journal":{"name":"Reproductive Health","volume":"22 1","pages":"153"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12398056/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reproductive Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12978-025-02113-y","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: E-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.
Methods: From 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.
Results: A 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.
Conclusions: The 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.
期刊介绍：
Reproductive Health focuses on all aspects of human reproduction. The journal includes sections dedicated to adolescent health, female fertility and midwifery and all content is open access.
Reproductive health is defined as a state of physical, mental, and social well-being in all matters relating to the reproductive system, at all stages of life. Good reproductive health implies that people are able to have a satisfying and safe sex life, the capability to reproduce and the freedom to decide if, when, and how often to do so. Men and women should be informed about and have access to safe, effective, affordable, and acceptable methods of family planning of their choice, and the right to appropriate health-care services that enable women to safely go through pregnancy and childbirth.
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