了解患者对远程医疗的负面体验:调查数据的内容分析。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES Journal of Patient Experience Pub Date : 2024-05-02 eCollection Date: 2024-01-01 DOI:10.1177/23743735241240881
Maya Hamaker, Nicholas Hyman, Komal Lodaria, Hannah B Jackson, Taylor B Sewell, Kevin Chen
{"title":"了解患者对远程医疗的负面体验:调查数据的内容分析。","authors":"Maya Hamaker, Nicholas Hyman, Komal Lodaria, Hannah B Jackson, Taylor B Sewell, Kevin Chen","doi":"10.1177/23743735241240881","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding differences in how demographic groups experience telehealth may be relevant in addressing potential disparities in telehealth usage. We seek to identify and examine themes most pertinent to patients' negative telehealth experiences by age and race in order to inform interventions to improve patients' future telehealth experiences. We performed a content analysis of Press Ganey patient experience surveys from adult patients at 17 primary care sites of a large, public healthcare system with visits from April 30, 2020 to August 27, 2021. We used sentiment analysis to identify negative comments. We coded for content themes and analyzed their frequency, stratifying by age and race. We analyzed 745 negative comments. Most frequent themes differed by demographic categories, but overall, the most commonly applied codes were \"Contacting the Clinic\" (n = 97), \"Connectivity\" (n = 84), and \"Webside Manner\" (n = 79). The top three codes accounted for >40% of the negative codes in each race category and >35% of the negative codes in each age category. While there were common negative experiences among groups, patients of different demographics highlighted different aspects of their telehealth experiences for potential improvement.</p>","PeriodicalId":45073,"journal":{"name":"Journal of Patient Experience","volume":"11 ","pages":"23743735241240881"},"PeriodicalIF":1.6000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11064744/pdf/","citationCount":"0","resultStr":"{\"title\":\"Understanding Patients' Negative Experiences with Telehealth: A Content Analysis of Survey Data.\",\"authors\":\"Maya Hamaker, Nicholas Hyman, Komal Lodaria, Hannah B Jackson, Taylor B Sewell, Kevin Chen\",\"doi\":\"10.1177/23743735241240881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding differences in how demographic groups experience telehealth may be relevant in addressing potential disparities in telehealth usage. We seek to identify and examine themes most pertinent to patients' negative telehealth experiences by age and race in order to inform interventions to improve patients' future telehealth experiences. We performed a content analysis of Press Ganey patient experience surveys from adult patients at 17 primary care sites of a large, public healthcare system with visits from April 30, 2020 to August 27, 2021. We used sentiment analysis to identify negative comments. We coded for content themes and analyzed their frequency, stratifying by age and race. We analyzed 745 negative comments. Most frequent themes differed by demographic categories, but overall, the most commonly applied codes were \\\"Contacting the Clinic\\\" (n = 97), \\\"Connectivity\\\" (n = 84), and \\\"Webside Manner\\\" (n = 79). The top three codes accounted for >40% of the negative codes in each race category and >35% of the negative codes in each age category. While there were common negative experiences among groups, patients of different demographics highlighted different aspects of their telehealth experiences for potential improvement.</p>\",\"PeriodicalId\":45073,\"journal\":{\"name\":\"Journal of Patient Experience\",\"volume\":\"11 \",\"pages\":\"23743735241240881\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11064744/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Patient Experience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23743735241240881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Patient Experience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23743735241240881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

了解不同人口群体在体验远程医疗方面的差异可能有助于解决远程医疗使用中的潜在差异。我们试图按年龄和种族识别并研究与患者负面远程医疗体验最相关的主题,以便为干预措施提供信息,改善患者未来的远程医疗体验。我们对 Press Ganey 患者体验调查进行了内容分析,调查对象是一家大型公立医疗保健系统 17 个初级医疗点的成年患者,访问时间为 2020 年 4 月 30 日至 2021 年 8 月 27 日。我们使用情感分析来识别负面评论。我们对内容主题进行了编码,并按年龄和种族对其频率进行了分析。我们分析了 745 条负面评论。最常见的主题因人口统计类别而异,但总体而言,最常应用的代码是 "联系诊所"(n = 97)、"连接性"(n = 84)和 "网侧方式"(n = 79)。前三个代码占每个种族类别负面代码的 40% 以上,占每个年龄类别负面代码的 35% 以上。虽然各群体之间存在共同的负面体验,但不同人口统计学特征的患者强调了其远程医疗体验中有待改进的不同方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Understanding Patients' Negative Experiences with Telehealth: A Content Analysis of Survey Data.

Understanding differences in how demographic groups experience telehealth may be relevant in addressing potential disparities in telehealth usage. We seek to identify and examine themes most pertinent to patients' negative telehealth experiences by age and race in order to inform interventions to improve patients' future telehealth experiences. We performed a content analysis of Press Ganey patient experience surveys from adult patients at 17 primary care sites of a large, public healthcare system with visits from April 30, 2020 to August 27, 2021. We used sentiment analysis to identify negative comments. We coded for content themes and analyzed their frequency, stratifying by age and race. We analyzed 745 negative comments. Most frequent themes differed by demographic categories, but overall, the most commonly applied codes were "Contacting the Clinic" (n = 97), "Connectivity" (n = 84), and "Webside Manner" (n = 79). The top three codes accounted for >40% of the negative codes in each race category and >35% of the negative codes in each age category. While there were common negative experiences among groups, patients of different demographics highlighted different aspects of their telehealth experiences for potential improvement.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Patient Experience
Journal of Patient Experience HEALTH CARE SCIENCES & SERVICES-
CiteScore
2.00
自引率
6.70%
发文量
178
审稿时长
15 weeks
期刊最新文献
"It was not normal, and I had to find a doctor and tell him." Kenyan Women's Response to Cervical Cancer Symptoms. Factors Associated With Psychiatry Consultation for Musculoskeletal Trauma Patients. Does an "EZ" Survey Improve the Data Quality of the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Clinician and Group Survey 3.1? An Adaptive Pacing Intervention for Adults Living With Long COVID: A Narrative Study of Patient Experiences of Using the PaceMe app. Behind the Scenes of Isotretinoin: My Journey and Recommendations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1