Suppr超能文献

提高受伤后随访调查的回复率:纳入自动化方式。

Improving post-injury follow-up survey response: incorporating automated modalities.

作者信息

Scheuer Hannah, Conrick Kelsey M, Mills Brianna, Solano Esther, Arbabi Saman, Bulger Eileen M, Dotolo Danae, Vil Christopher St, Vavilala Monica S, Rowhani-Rahbar Ali, Moore Megan

机构信息

School of Social Work, University of Washington, Seattle, WA, USA.

Department of Epidemiology, University of Washington, Seattle, USA.

出版信息

Inj Epidemiol. 2024 Sep 5;11(1):46. doi: 10.1186/s40621-024-00531-3.

Abstract

BACKGROUND

Incorporating post-discharge data into trauma registries would allow for better research on patient outcomes, including disparities in outcomes. This pilot study tested a follow-up data collection process to be incorporated into existing trauma care systems, prioritizing low-cost automated response modalities.

METHODS

This investigation was part of a larger study that consisted of two protocols with two distinct cohorts of participants who experienced traumatic injury. Participants in both protocols were asked to provide phone, email, text, and mail contact information to complete follow-up surveys assessing patient-reported outcomes six months after injury. To increase follow-up response rates between protocol 1 and protocol 2, the study team modified the contact procedures for the protocol 2 cohort. Frequency distributions were utilized to report the frequency of follow-up response modalities and overall response rates in both protocols.

RESULTS

A total of 178 individuals responded to the 6-month follow-up survey: 88 in protocol 1 and 90 in protocol 2. After implementing new follow-up contact procedures in protocol 2 that relied more heavily on the use of automated modalities (e.g., email and text messages), the response rate increased by 17.9 percentage points. The primary response modality shifted from phone (72.7%) in protocol 1 to the combination of email (47.8%) and text (14.4%) in protocol 2.

CONCLUSIONS

Results from this investigation suggest that follow-up data can feasibly be collected from trauma patients. Use of automated follow-up methods holds promise to expand longitudinal data in the national trauma registry and broaden the understanding of disparities in patient experiences.

摘要

背景

将出院后的数据纳入创伤登记系统,有助于更好地研究患者的治疗结果,包括结果差异。这项试点研究测试了一种后续数据收集流程,该流程将被纳入现有的创伤护理系统,优先采用低成本的自动回复方式。

方法

本调查是一项更大规模研究的一部分,该研究由两个方案组成,涉及两组不同的创伤患者队列。两个方案的参与者都被要求提供电话、电子邮件、短信和邮寄联系方式,以完成受伤六个月后的后续调查,评估患者报告的结果。为提高方案1和方案2之间的后续回复率,研究团队修改了方案2队列的联系程序。使用频率分布来报告两个方案中后续回复方式的频率和总体回复率。

结果

共有178人对6个月的后续调查做出了回应:方案1中有88人,方案2中有90人。在方案2中实施了更多依赖自动方式(如电子邮件和短信)的新后续联系程序后,回复率提高了17.9个百分点。主要回复方式从方案1中的电话(72.7%)转变为方案2中的电子邮件(47.8%)和短信(14.4%)的组合。

结论

本次调查结果表明,可以切实从创伤患者那里收集后续数据。使用自动随访方法有望扩展国家创伤登记系统中的纵向数据,并加深对患者经历差异的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9de3/11375847/488d9938b8cb/40621_2024_531_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验