@文章{信息:doi/10.2196/19013，作者="Zrubka, Zsombor和Brito Fernandes， {\'O}和Baji, Petra和Hajdu, Ott{\' O}和Kovacs, Levente和Kringos, Dionne和Klazinga, Niek和Gul{\'a}csi, L{\'a}szl{\' O}和Brodszky, Valentin和Rencz, Fanni和P{'e}ntek, M{\'a}rta"，标题="探索电子健康素养和患者报告的经验与匈牙利普通成人门诊护理:横断面研究”，期刊=“医学网络研究”，年=“2020”，月=“8”，日=“11”，卷=“22”，数=“8”，页数=“e19013”，关键词=“健康素养”;电子卫生知识普及，患者报告的体验措施;患者报告的结果测量;门诊;共同决策;匈牙利;背景:数字健康，包括使用信息和通信技术来支持健康，是医学向以人为本的文化转型背后的关键驱动力。因此，在创新数字卫生解决方案的辅助下，电子卫生扫盲可能支持更好的护理体验。目的:本研究的目的是探讨匈牙利门诊护理用户中电子健康素养和患者报告体验措施(PREMs)之间的关系。 Methods: In early 2019, we conducted a cross-sectional survey on a large representative online sample recruited from the Hungarian general population. eHealth literacy was measured with the eHealth Literacy Scale (eHEALS). PREMs with outpatient care were measured with a set of questions recommended by the Organisation for Economic Co-operation and Development (OECD) for respondents who attended outpatient visit within 12 months preceding the survey. Bivariate relationships were explored via polychoric correlation, the Kruskal--Wallis test, and chi-square test. To capture nonlinear associations, after controlling covariates, we analyzed the relationship between eHEALS quartiles and PREMs using multivariate probit, ordinary least squares, ordered logit, and logistic regression models. Results: From 1000 survey respondents, 666 individuals (364 females, 54.7{\%}) were included in the study with mean age of 48.9 (SD 17.6) years and mean eHEALS score of 29.3 (SD 4.9). Respondents with higher eHEALS scores were more likely to understand the health care professionals' (HCPs') explanations ($\chi$29=24.2, P=.002) and to be involved in decision making about care and treatment ($\chi$29=18.2, P=.03). In multivariate regression, respondents with lowest (first quartile) and moderately high (third quartile) eHEALS scores differed significantly, where the latter were more likely to have an overall positive experience (P=.02) and experience fewer problems (P=.02). In addition, those respondents had better experiences in terms of how easy it was to understand the HCPs' explanations (P<.001) and being able to ask questions during their last consultation (P=.04). Patient-reported experiences of individuals with highest (fourth quartile) and lowest (first quartile) eHEALS levels did not differ significantly in any items of the PREM instrument, and neither did composite PREM scores generated from the PREM items (P>.05 in all models). Conclusions: We demonstrated the association between eHealth literacy and PREMs. The potential patient-, physician-, and system-related factors explaining the negative experiences among people with highest levels of eHealth literacy warrant further investigation, which may contribute to the development of efficient eHealth literacy interventions. Further research is needed to establish causal relationship between eHealth literacy and patient-reported experiences. ", issn="1438-8871", doi="10.2196/19013", url="//www.mybigtv.com/2020/8/e19013", url="https://doi.org/10.2196/19013", url="http://www.ncbi.nlm.nih.gov/pubmed/32667891" }