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评估数字预诊工具在随访前识别与中风相关健康问题的效果(第 1 部分):调查研究。

Evaluation of a Digital Previsit Tool for Identifying Stroke-Related Health Problems Before a Follow-Up Visit (Part 1): Survey Study.

机构信息

Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

出版信息

JMIR Hum Factors. 2024 Sep 3;11:e55852. doi: 10.2196/55852.

DOI:10.2196/55852
PMID:39226546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11408892/
Abstract

BACKGROUND

Stroke may lead to various disabilities, and a structured follow-up visit is strongly recommended within a few months after an event. To facilitate this visit, the digital previsit tool "Strokehealth" was developed for patients to fill out in advance. The concept Strokehälsa (or Strokehealth) was initially developed in-house as a Windows application, later incorporated in 1177.se.

OBJECTIVE

The study's primary objective was to use a patient satisfaction survey to evaluate the digital previsit tool Strokehealth when used before a follow-up visit, with a focus on feasibility and relevance from the perspective of people with stroke. Our secondary objective was to explore the extent to which the previsit tool identified stroke-related health problems.

METHODS

Between November 2020 and June 2021, a web-based survey was sent to patients who were scheduled for a follow-up visit after discharge from a stroke unit and had recently filled in the previsit tool. The survey covered demographic characteristics, internet habits, and satisfaction rated using 5 response options. Descriptive statistics were used to present data from both the previsit tool and the survey. We also compared the characteristics of those who completed the previsit tool and those who did not, using nonparametric statistics. Free-text responses were thematically analyzed.

RESULTS

All patients filling out the previsit tool (80/171; age: median 67, range 32-91 years) were community-dwelling. Most had experienced a mild stroke and reported a median of 2 stroke-related health problems (range 0-8), and they were significantly younger than nonresponders (P<.001). The survey evaluating the previsit tool was completed by 73% (58/80; 39 men). The majority (48/58, 83%) reported using the internet daily. Most respondents (56/58, 97%) were either satisfied (n=15) or very satisfied (n=41) with how well the previsit tool captured their health problems. The highest level of dissatisfaction was related to the response options in Strokehealth (n=5). Based on the free-text answers to the survey, we developed 4 themes. First, Strokehealth was perceived to provide a structure that ensured that issues would be emphasized and considered. Second, user-friendliness and accessibility were viewed as acceptable, although respondents suggested improvements. Third, participants raised awareness about being approached digitally for communication and highlighted the importance of how to be approached. Fourth, their experiences with Strokehealth were influenced by their perceptions of the explanatory texts, the response options, and the possibility of elaborating on their answers in free text.

CONCLUSIONS

People with stroke considered the freely available previsit tool Strokehealth feasible for preparing in advance for a follow-up visit. Despite high satisfaction with how well the tool captured their health problems, participants indicated that additional free-text responses and revised information could enhance usability. Improvements need to be considered in parallel with qualitative data to ensure that the tool meets patient needs.

TRIAL REGISTRATION

Researchweb 275135; https://www.researchweb.org/is/vgr/project/275135.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/b66d0258fde7/humanfactors_v11i1e55852_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/f9f9556aecc7/humanfactors_v11i1e55852_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/f4d9b852abdf/humanfactors_v11i1e55852_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/297b9a557e50/humanfactors_v11i1e55852_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/b66d0258fde7/humanfactors_v11i1e55852_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/f9f9556aecc7/humanfactors_v11i1e55852_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/f4d9b852abdf/humanfactors_v11i1e55852_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/297b9a557e50/humanfactors_v11i1e55852_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2c/11408892/b66d0258fde7/humanfactors_v11i1e55852_fig4.jpg
摘要

背景

中风可能导致各种残疾,强烈建议在事件发生后几个月内进行结构化的随访。为了方便这次访问,开发了数字预访工具“Strokehealth”,供患者提前填写。“Strokehälsa”(或“Strokehealth”)的概念最初是内部开发的 Windows 应用程序,后来被整合到 1177.se 中。

目的

本研究的主要目的是使用患者满意度调查来评估在随访前使用数字预访工具 Strokehealth 的情况,重点关注中风患者的可行性和相关性。我们的次要目标是探讨预访工具识别中风相关健康问题的程度。

方法

在 2020 年 11 月至 2021 年 6 月期间,我们向从中风病房出院并已最近填写预访工具的患者发送了一份在线调查。调查涵盖了人口统计学特征、互联网习惯以及使用 5 种回答选项进行的满意度评级。使用描述性统计来呈现预访工具和调查的数据。我们还比较了完成预访工具和未完成预访工具的患者的特征,使用非参数统计。对自由文本回复进行了主题分析。

结果

所有填写预访工具的患者(80/171;年龄:中位数 67 岁,范围 32-91 岁)均为社区居住。大多数人经历了轻度中风,报告了中位数为 2 个中风相关健康问题(范围 0-8),且他们明显比未回复者年轻(P<.001)。评估预访工具的调查由 73%(58/80;39 名男性)完成。大多数(48/58,83%)受访者每天都使用互联网。大多数受访者(56/58,97%)对预访工具如何捕捉他们的健康问题表示满意(n=15)或非常满意(n=41)。最高程度的不满与 Strokehealth 中的回答选项有关(n=5)。基于调查的自由文本答案,我们开发了 4 个主题。首先,Strokehealth 被认为提供了一种结构,确保问题将得到强调和考虑。其次,用户友好性和可访问性被认为是可以接受的,尽管受访者提出了改进建议。第三,参与者提高了对数字通信的认识,并强调了如何进行沟通的重要性。第四,他们对 Strokehealth 的体验受到他们对解释文本、回答选项的看法以及在自由文本中详细说明答案的可能性的影响。

结论

中风患者认为可免费获得的预访工具 Strokehealth 可以提前为随访做好准备。尽管参与者对工具捕捉其健康问题的能力非常满意,但他们表示,增加额外的自由文本回复和修改信息可以提高可用性。需要结合定性数据来考虑改进措施,以确保工具满足患者的需求。

试验注册

Researchweb 275135;https://www.researchweb.org/is/vgr/project/275135。

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