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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Hannah Scheuer, Kelsey M Conrick, Brianna Mills, Esther Solano, Saman Arbabi, Eileen M Bulger, Danae Dotolo, Christopher St Vil, Monica S Vavilala, Ali Rowhani-Rahbar, Megan Moore
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引用次数: 0

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.

改善伤后跟踪调查的回复情况:采用自动模式。
背景:将出院后的数据纳入创伤登记册将有助于更好地研究患者的治疗效果,包括治疗效果的差异。这项试点研究测试了将纳入现有创伤护理系统的后续数据收集流程,优先考虑低成本的自动响应模式:这项调查是一项大型研究的一部分,该研究包括两个方案,分别针对两组经历过创伤的参与者。两个方案都要求参与者提供电话、电子邮件、短信和邮件联系信息,以完成后续调查,评估受伤六个月后患者报告的结果。为了提高方案 1 和方案 2 的随访回复率,研究小组修改了方案 2 组群的联系程序。研究小组利用频率分布来报告两个方案中的随访回复方式频率和总体回复率:共有 178 人回复了为期 6 个月的跟踪调查:结果:共有 178 人回复了为期 6 个月的跟踪调查:88 人回复了方案 1 的调查,90 人回复了方案 2 的调查。在方案 2 中实施了新的后续联系程序,更多依赖于使用自动模式(如电子邮件和短信)后,回复率提高了 17.9 个百分点。主要的回复方式从方案 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:这项调查的结果表明,从创伤患者那里收集随访数据是可行的。使用自动随访方法有望扩大国家创伤登记处的纵向数据,并扩大对患者经历差异的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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