Patient experiences of an online consultation system: a qualitative study in English primary care post-COVID-19

医学 主题分析 灵活性(工程) 初级保健 2019年冠状病毒病(COVID-19) 定性研究 医疗保健 大流行 家庭医学 护理部 社会科学 统计 数学 疾病 病理 社会学 传染病(医学专业) 经济 经济增长
作者
Susan Moschogianis,Sarah Darley,Tessa Coulson,Niels Peek,Sudeh Cheraghi‐Sohi,Benjamin Brown
出处
期刊:British Journal of General Practice [Royal College of General Practitioners]
卷期号:: BJGP.2023.0076-BJGP.2023.0076 被引量:10
标识
DOI:10.3399/bjgp.2023.0076
摘要

Background Online consultation systems (OCSs) allow patients to contact their healthcare teams online. Since 2020 they have been rapidly rolled out in primary care following policy initiatives and the COVID-19 pandemic. In-depth research of patients’ experiences using OCSs is lacking. Aim Explore patients’ experiences of using an OCS. Design and setting Qualitative study in English GP practices using the Patchs OCS ( www.Patchs.ai ) from March 2020 to July 2022. Method Thematic analysis of 25 patient interviews and 21 467 written comments from 11 851 patients who used the OCS from nine and 240 GP practices, respectively. Results Patients cited benefits of using the OCS as speed, flexibility, and efficiency. Nevertheless, some patients desired a return to traditional consultation methods. GP practices often did not clearly advertise the OCS or use it as patients expected, which caused frustration. Patients reported advantages of having a written record of consultations and the opportunity to communicate detailed queries in free text. Views differed on how the OCS influenced clinical safety and discussions of sensitive topics. Patients who struggled to communicate in traditional consultations often preferred using the OCS, and male patients reported being more likely to use it. Conclusion Globally, this is the largest in-depth study of patient experiences of an OCS. It contributes new knowledge that the patient experience of using OCSs can be influenced by previously unreported patient characteristics and the conditions they consult about. Further, it contributes recommendations on the design and implementation of the OCS in practice.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
okfine发布了新的文献求助30
1秒前
贾舒涵发布了新的文献求助30
1秒前
科研通AI6.2应助ctttt采纳,获得10
1秒前
醉熏的以云完成签到 ,获得积分10
2秒前
z777完成签到 ,获得积分10
3秒前
4秒前
5秒前
CodeCraft应助简单采纳,获得10
6秒前
7秒前
行走的荷尔蒙应助乔治采纳,获得30
8秒前
kkkkk完成签到,获得积分10
8秒前
okfine完成签到,获得积分10
8秒前
8秒前
Copyright应助青争采纳,获得10
9秒前
10秒前
星令完成签到,获得积分10
12秒前
金米面完成签到,获得积分10
14秒前
14秒前
真的难找应助闪闪的采珊采纳,获得10
19秒前
19秒前
20秒前
20秒前
科研通AI6.3应助努力采纳,获得10
20秒前
自由逐风发布了新的文献求助10
21秒前
23秒前
123完成签到,获得积分10
24秒前
24秒前
kk发布了新的文献求助10
25秒前
jjq完成签到,获得积分10
26秒前
26秒前
GPTea应助王令采纳,获得20
27秒前
Liu完成签到,获得积分10
29秒前
ecchaos完成签到,获得积分10
29秒前
星辰大海应助美好斓采纳,获得30
29秒前
南湖秋水发布了新的文献求助10
30秒前
30秒前
大模型应助sunmengze采纳,获得10
31秒前
31秒前
31秒前
林攸之发布了新的文献求助10
32秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7295303
求助须知:如何正确求助?哪些是违规求助? 8913759
关于积分的说明 18873715
捐赠科研通 6961564
什么是DOI,文献DOI怎么找? 3210209
关于科研通互助平台的介绍 2379497
邀请新用户注册赠送积分活动 2186486