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2023年埃塞俄比亚西北部阿姆哈拉地区转诊医院糖尿病患者使用患者门户网站的意愿及其预测因素:UTAUT-2模型

Intention to use patient portal and its predictors among patient with diabetes in Amhara region referral hospitals, Northwest Ethiopia, 2023: UTAUT-2 model.

作者信息

Wubete Abebe Aschale, Tilahun Binyam Chakilu, Mekonnen Zeleke Abebaw, Tegegne Masresha Derese

机构信息

Department of Health Informatics, School of Public Health, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.

Department of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.

出版信息

Digit Health. 2024 Sep 25;10:20552076241277177. doi: 10.1177/20552076241277177. eCollection 2024 Jan-Dec.

DOI:10.1177/20552076241277177
PMID:39347512
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11428164/
Abstract

BACKGROUND

Patient portal technology is increasingly utilized in the health care system for diabetes management as a means of communication and information-sharing tools, and it has the potential to improve access, quality, and outcomes for patients with diabetes. However, its adaptation is very low, and patients' intention toward the patient portal is unknown. This study aims to fill this gap by determining the intention to use the patient portal and its predictors among patients with diabetes in Ethiopia.

METHOD

An institution-based cross-sectional study was conducted on patients with diabetes from April 3 to May 8 in eight referral hospitals in the Amhara region, Ethiopia 2023. Samples were proportionally allocated for each hospital, and participants were selected by using a systematic random sampling method. The data were collected by using an interviewer-administered questionnaire using the Kobo collection mobile app. Descriptive statistics were performed using SPSS version 26. The degree of association between exogenous and endogenous variables was assessed and validated using structural equation modeling using AMOS version 21.

RESULT

A total of 1037 (96.2% response rate) patients with diabetes participated in the study. Of them, 407 (39.25%), 95% CI: [36.4-42.2] were found to have an intention to use the patient portal. Digital literacy (β = 0.312, 95% CI: [0.154-0.465],  .01), performance expectancy (β = 0.303, 95% CI: [0.185-0.420],  .01), effort expectancy (β = 0.25, 95% CI: [0.131-0.392],  0.01) facilitating condition (β = 0.22, 95% CI: [0.081-0.36],  .01) and habit (β = 0.111, 95% CI: [-0.009 to 0.227],  .05) were significantly associated with the intention to use patient portals. Effort expectancy and facilitating conditions were positively moderated by gender.

CONCLUSION

This study found that patient with diabetes' intention to use patient portals was low. To increase patients with diabetes' intention to use the patient portal, interventions in digital literacy, performance expectations, effort expectations, facilitating conditions, and habits are required.

摘要

背景

患者门户技术在医疗保健系统中越来越多地用于糖尿病管理,作为沟通和信息共享工具,它有可能改善糖尿病患者的就医机会、医疗质量和治疗结果。然而,其采用率非常低,患者对患者门户的意愿尚不清楚。本研究旨在通过确定埃塞俄比亚糖尿病患者使用患者门户的意愿及其预测因素来填补这一空白。

方法

2023年4月3日至5月8日,在埃塞俄比亚阿姆哈拉地区的八家转诊医院对糖尿病患者进行了一项基于机构的横断面研究。按比例为每家医院分配样本,并采用系统随机抽样方法选择参与者。数据通过使用Kobo采集移动应用程序的访谈式问卷收集。使用SPSS 26版进行描述性统计。使用AMOS 21版的结构方程模型评估和验证外生变量和内生变量之间的关联程度。

结果

共有1037名糖尿病患者(应答率96.2%)参与了研究。其中,407名(39.25%),95%可信区间:[36.4-42.2]有使用患者门户的意愿。数字素养(β = 0.312,95%可信区间:[0.154-0.465],P = 0.01)、绩效期望(β = 0.303,95%可信区间:[0.185-0.420],P = 0.01)、努力期望(β = 0.25,95%可信区间:[0.131-0.392],P = 0.01)、促进条件(β = 0.22,95%可信区间:[0.081-0.36],P = 0.01)和习惯(β = 0.111,95%可信区间:[-0.009至0.227],P = 0.05)与使用患者门户的意愿显著相关。努力期望和促进条件受到性别的正向调节。

结论

本研究发现糖尿病患者使用患者门户的意愿较低。为了提高糖尿病患者使用患者门户的意愿,需要在数字素养、绩效期望、努力期望、促进条件和习惯方面进行干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/4b4bd0cf7a03/10.1177_20552076241277177-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/88a40915ac9d/10.1177_20552076241277177-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/0f07e270476c/10.1177_20552076241277177-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/ba15cf8fd0d3/10.1177_20552076241277177-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/0eb7445e9d34/10.1177_20552076241277177-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/4b4bd0cf7a03/10.1177_20552076241277177-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/88a40915ac9d/10.1177_20552076241277177-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/0f07e270476c/10.1177_20552076241277177-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/ba15cf8fd0d3/10.1177_20552076241277177-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/0eb7445e9d34/10.1177_20552076241277177-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/498f/11428164/4b4bd0cf7a03/10.1177_20552076241277177-fig5.jpg

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