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首页> 外文期刊>Journal of medical Internet research >Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study
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Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study

机译:在匈牙利一般成年人口中探索母羊扫盲与患者报告的门诊护理经验:横截面研究

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Background Digital health, which encompasses the use of information and communications technology in support of health, is a key driving force behind the cultural transformation of medicine toward people-centeredness. Thus, eHealth literacy, assisted by innovative digital health solutions, may support better experiences of care. Objective The purpose of this study is to explore the relationship between eHealth literacy and patient-reported experience measures (PREMs) among users of outpatient care in Hungary. 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 ( χ ~(2) _(9)=24.2, P =.002) and to be involved in decision making about care and treatment ( χ ~(2) _(9)=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.
机译:背景技术数字健康包括信息和通信技术支持健康的使用,是医学文化转型对人们的关键推动力。因此,通过创新的数字健康解决方案辅助的电子健康扫盲可能支持更好的护理经历。目的本研究的目的是探讨匈牙利外科护理用户的eHECHEATH扫盲与患者报告的经验措施(房区)之间的关系。方法2019年初,我们对匈牙利一般人口招募的大型代表在线样本进行了横断面调查。 eHealth扫盲与eHealth扫盲规模(eheals)衡量。通过经济合作和发展组织(经济合作开发组织(OECD)的一系列问题来衡量外部护理的房区,以便在调查前12个月内参加门诊访问的受访者。通过聚思科相关,Kruskal-Wallis试验和Chi-Square测试探索了二元关系。为了捕获非线性关联,在控制协变量之后,我们分析了使用多元概率,普通最小二乘法,有序的Logit和Logistic回归模型之间的eHeals四分位数和房区之间的关系。研究结果来自1000次调查受访者,666名个人(364名女性,54.7%)均包含在48.9年龄(SD 17.6)年的平均年龄和29.3(SD 4.9)的eheals得分。具有较高eheals分数的受访者更有可能理解医疗保健专业人员(HCPS')解释(χ〜(2)_(9)= 24.2,p = .002),并参与关于护理和治疗的决策( χ〜(2)_(9)= 18.2,p = .03)。在多变量回归中,具有最低(第一四分位数)和中度高(第三个四分位数)eHeals评分的受访者显着差异,后者更有可能具有整体阳性经验(p = .02)并体验较少的问题(p = .02 )。此外,这些受访者在了解HCPS的解释(P& .001)方面有更好的经验,并且能够在上次咨询期间提出问题(p = .04)。患者报告最高(四分位数)和最低(第一个四分位数)eheals水平的个体的经验在预级仪器的任何物品中没有显着差异,并且既不是从预级物品产生的综合预分分数(P> .05所有型号)。结论我们展示了电子健康扫盲与房区之间的关联。潜在的患者,医师和系统相关因素,解释了最高级别的电子健康扫盲措施的负面经验进一步调查,这可能有助于发展有效的电子健康扫盲干预措施。需要进一步的研究来建立eHealth扫盲与患者报告的经验之间的因果关系。

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