利用数字健康平台在儿科内分泌门诊实施糖尿病窘迫筛查:定量二次数据分析。

IF 2.1 Q2 PEDIATRICS
Nicole A Kahhan, Larry A Fox, Matthew Benson, Susana R Patton
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引用次数: 0

摘要

背景:1型糖尿病(T1D)的管理需要遵循复杂和持续的治疗方案,依赖于儿童或照顾者的行为、技能和知识。心理因素如糖尿病困扰(DD)、抑郁和倦怠是儿童T1D治疗的相关考虑因素。大约40%的青少年和61%的照顾者经历过DD。建议将DD筛查作为临床最佳实践的一部分,并可能促进治疗转诊,可能会改善患有T1D的青少年及其照顾者的健康或福祉。在现有机构基础设施的基础上,通过数字健康平台(应用程序或“应用程序”)进行筛查,可以及时筛查和应对DD。目的:本工作详细介绍了在使用数字健康平台进行常规T1D护理的背景下,对青少年及其照顾者进行DD筛查的流程的创建、实施和改进。方法:DD筛查在门诊内分泌科诊所实施了1年多,作为对8-12.99岁儿童及其照顾者进行筛查治疗试验的一部分。通过数字健康平台发送验证措施,以便在诊所访问之前完成。结果最初是手工审查的,但后来建立了一个数字最佳实践警报(BPA),以通知员工分数升高。患有DD的家庭收到通过数字健康平台发送的资源。在这一次要分析中,收集了儿童人口统计数据和糖化血红蛋白(HbA1c)。结果:筛查期间,儿童和护理人员的绝对完成率分别为36.78%和38.83%,调整后的筛查率分别为52.02%和54.48%。共有21名儿童(平均HbA1c为8.04%,SD为1.39%)和26名看护人(儿童平均HbA1c为8.04%,SD为1.72%)报告了DD升高。在BPA发育之前,除了1个家庭外,所有家庭都获得了资源。BPA实施后,所有家庭都获得了资源。结论:早期研究结果表明,在独立的内分泌门诊诊所,可以通过数字平台整合DD教育、筛查和响应,从而促进及时的治疗转诊和为确定有窘迫的人提供资源。值得注意的是,在观察到的1年筛查期间,筛查率很低,并且确定了实施的障碍。虽然一些实施方面的挑战得到了反复的解决,但仍需要未来的质量改进举措,以提高儿科患者及其家属的筛查率和对DD的识别或反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform: Quantitative Secondary Data Analysis.

Background: Type 1 diabetes (T1D) management requires following a complex and constant regimen relying on child or caregiver behaviors, skills, and knowledge. Psychological factors such as diabetes distress (DD), depression, and burnout are pertinent considerations in the treatment of pediatric T1D. Approximately 40% of youth and 61% of caregivers experience DD. Implementation of DD screening as part of clinical best practice is recommended and may facilitate treatment referral, perhaps leading to improved health or well-being for youth with T1D and their caregivers. By building on existing institutional infrastructure when available, screening via digital health platforms (applications, or "apps") may allow for timely screening of, and response to, DD.

Objective: This work details the creation, implementation, and refinement of a process to screen for DD in youth and their caregivers in the context of routine T1D care using a digital health platform.

Methods: DD screening was implemented in an outpatient endocrinology clinic over 1 year as part of a larger screen-to-treat trial for children aged 8-12.99 years and their caregivers. Validated measures were sent via digital health platform to be completed prior to the clinic visit. Results were initially reviewed manually, but a digital best practice alert (BPA) was later built to notify staff of elevated scores. Families experiencing DD received resources sent via the digital health platform. For this secondary analysis, child demographics and glycated hemoglobin A1c (HbA1c) were collected.

Results: During the screening period, absolute completion rates were 36.78% and 38.83%, with adjusted screening rates at 52.02% and 54.48%, for children and caregivers, respectively. A total of 21 children (mean HbA1c 8.04%, SD 1.39%) and 26 caregivers (child mean HbA1c 8.04%, SD 1.72%) reported elevated DD. Prior to BPA development, resources were sent to all but 1 family. After BPA implementation, all families were sent resources.

Conclusions: Early findings indicate that DD education, screening, and response can be integrated via digital platforms in a freestanding outpatient endocrinology clinic, thereby facilitating timely treatment referral and provision of resources for those identified with distress. Notably, in the observed 1-year screening period, screening rates were low, and barriers to implementation were identified. While some implementation challenges were iteratively addressed, there is a need for future quality improvement initiatives to improve screening rates and the identification of, or response to, DD in our pediatric patients and their families.

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来源期刊
JMIR Pediatrics and Parenting
JMIR Pediatrics and Parenting Medicine-Pediatrics, Perinatology and Child Health
CiteScore
5.00
自引率
5.40%
发文量
62
审稿时长
12 weeks
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