Suppr超能文献

一项横断面研究,评估慢性病患者对引入电子健康服务的态度的决定因素。

A cross-sectional study assessing determinants of the attitude to the introduction of eHealth services among patients suffering from chronic conditions.

作者信息

Duplaga Mariusz

机构信息

Department of Health Promotion, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegorzecka Str. 20, 31-531, Krakow, Poland.

出版信息

BMC Med Inform Decis Mak. 2015 Apr 19;15:33. doi: 10.1186/s12911-015-0157-3.

Abstract

BACKGROUND

Provision of care to patients with chronic diseases remains a great challenge for modern health care systems. eHealth is indicated as one of the strategies which could improve care delivery to this group of patients. The main objective of this study was to assess determinants of the acceptance of the Internet use for provision of chosen health care services remaining in the scope of current nationwide eHealth initiative in Poland.

METHODS

The survey was carried out among patients with diagnosed chronic conditions who were treated in three health care facilities in Krakow, Poland. Survey data was used to develop univariate and multivariate logistic regression models for six outcome variables originating from the items assessing the acceptance of specific types of eHealth applications. The variables used as predictors were related to the sociodemographic characteristics of respondents, burden related to chronic disease, and the use of the Internet and its perceived usefulness in making personal health-related decisions.

RESULTS

Among 395 respondents, there were 60.3% of Internet users. Univariate logistic regression models developed for six types of eHealth solutions demonstrated their higher acceptance among younger respondents, living in urban areas, who have attained a higher level of education, used the Internet on their own, and were more confident about its usefulness in making health-related decisions. Furthermore, the duration of chronic disease and hospitalization due to chronic disease predicted the acceptance of some of eHealth applications. However, when combined in multivariate models, only the belief in the usefulness of the Internet (five of six models), level of education (four of six models), and previous hospitalization due to chronic disease (three of six models) maintained the effect on the independent variables.

CONCLUSIONS

The perception of the usefulness of the Internet in making health-related decision is a key determinant of the acceptance of provision of health care services online among patients with chronic diseases. Among sociodemographic factors, only the level of education demonstrates a consistent impact on the level of acceptance. Interestingly, a greater burden of chronic disease related to previous hospitalizations leads to lower acceptance of eHealth solutions.

摘要

背景

为慢性病患者提供护理仍然是现代医疗系统面临的巨大挑战。电子健康被视为可改善对这类患者护理服务的策略之一。本研究的主要目的是评估在波兰当前全国性电子健康倡议范围内,接受互联网用于提供选定医疗服务的决定因素。

方法

对在波兰克拉科夫的三家医疗机构接受治疗的慢性病确诊患者进行了调查。调查数据用于为六个结果变量建立单变量和多变量逻辑回归模型,这些变量源自评估特定类型电子健康应用接受度的项目。用作预测因素的变量与受访者的社会人口统计学特征、慢性病相关负担以及互联网的使用及其在做出个人健康相关决策中的感知有用性有关。

结果

在395名受访者中,有60.3%是互联网用户。为六种类型的电子健康解决方案建立的单变量逻辑回归模型表明,在居住在城市地区、受教育程度较高、自行使用互联网且对其在做出健康相关决策中的有用性更有信心的年轻受访者中,它们的接受度更高。此外,慢性病的持续时间和因慢性病住院预测了对某些电子健康应用的接受度。然而,在多变量模型中,只有对互联网有用性的信念(六个模型中的五个)、教育程度(六个模型中的四个)以及先前因慢性病住院(六个模型中的三个)对自变量保持影响。

结论

对互联网在做出健康相关决策中的有用性的认知是慢性病患者接受在线医疗服务的关键决定因素。在社会人口统计学因素中,只有教育程度对接受度水平有一致的影响。有趣的是,与先前住院相关的更大慢性病负担导致对电子健康解决方案的接受度较低。

相似文献

7
Determinants of access to eHealth services in regional Australia.
Int J Med Inform. 2019 Nov;131:103960. doi: 10.1016/j.ijmedinf.2019.103960. Epub 2019 Sep 4.
10

引用本文的文献

1
The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study.
BMC Med Inform Decis Mak. 2024 Dec 18;24(1):381. doi: 10.1186/s12911-024-02791-x.
3
The Impact of Digital Technology on Self-Management in Cancer: Systematic Review.
JMIR Cancer. 2023 Nov 22;9:e45145. doi: 10.2196/45145.
4
Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis.
Eur Heart J Digit Health. 2021 Dec 10;3(1):81-89. doi: 10.1093/ehjdh/ztab105. eCollection 2022 Mar.
6
8
Telehealth and COVID-19: Using technology to accelerate the curve on access and quality healthcare for citizens in India.
Technol Soc. 2021 Feb;64:101465. doi: 10.1016/j.techsoc.2020.101465. Epub 2020 Dec 4.
9
E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey.
BMC Med Inform Decis Mak. 2020 Aug 6;20(1):181. doi: 10.1186/s12911-020-01202-1.

本文引用的文献

5
Poland health system review.
Health Syst Transit. 2011;13(8):1-193.
6
Determinants of physicians' technology acceptance for e-health in ambulatory care.
Int J Med Inform. 2012 Nov;81(11):746-60. doi: 10.1016/j.ijmedinf.2012.02.002. Epub 2012 Mar 6.
8
A holistic framework to improve the uptake and impact of eHealth technologies.
J Med Internet Res. 2011 Dec 5;13(4):e111. doi: 10.2196/jmir.1672.
10
Surfing the internet for health information: an italian survey on use and population choices.
BMC Med Inform Decis Mak. 2011 Apr 7;11:21. doi: 10.1186/1472-6947-11-21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验