Digital health intervention for children with ADHD to improve mental health intervention, patient experiences, and outcomes: a study protocol.

BMC digital health Pub Date : 2024-01-01 Epub Date: 2024-11-05 DOI:10.1186/s44247-024-00134-4
Nancy Herrera, Franceli L Cibrian, Lucas M Silva, Jesus Armando Beltran, Sabrina E B Schuck, Gillian R Hayes, Kimberley D Lakes
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Abstract

Background: Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition with profound public health, personal, and family consequences. ADHD requires comprehensive treatment; however, lack of communication and integration across multiple points of care is a substantial barrier to progress. Given the chronic and pervasive challenges associated with ADHD, innovative approaches are crucial. We developed the digital health intervention (DHI)-CoolTaCo [Cool Technology Assisting Co-regulation] to address these critical barriers. CoolTaCo uses Patient-Centered Digital Healthcare Technologies (PC-DHT) to promote co-regulation (child/parent), capture patient data, support efficient healthcare delivery, enhance patient engagement, and facilitate shared decision-making, thereby improving access to timely and targeted mental health intervention for children at significant risk for poor outcomes. The present paper will describe our planned protocol to evaluate the efficacy of CoolTaCo via randomized control trial (RCT).

Methods/design: We will recruit 60 children (ages 8-12) with ADHD who will be randomized to either immediate (n = 30) or delayed (n = 30) treatment (i.e., a waitlist control group). Among those randomized to immediate treatment, half will be assigned to DHI (delivered via a smartwatch and smartphone application), the other half to an active control treatment as usual (TAU). Unlike the DHI group, the TAU group will receive the smartwatch with no assigned activities, applications, or interventions on the devices. The intervention period will last 16 weeks; after a participant has been in the delayed treatment group for 16 weeks and has completed the post-waiting period assessment, they will be randomly assigned to either the intervention or active control group. Thus, 30 participants will complete the intervention, and 30 will complete the active control, with half of the total sample completing a waitlist period.

Discussion: Individuals with ADHD have complex needs. Despite improvement in outcomes following cognitive behavioral therapies (CBT) and pharmaceutical treatment, long-term maintenance is a challenge often not addressed by traditional medical approaches, and, as we described, ineffective approaches to information sharing across points of care create further barriers to progress. Our research will fill a significant gap in translating early treatment investments and gains into long-term, sustainable outcomes.This study was registered as a clinic trial at ClinicalTrials.gov (Digital Health Intervention for Children With ADHD, ID# NCT06456372) on 06/13/2024.

针对多动症儿童的数字健康干预,以改善心理健康干预、患者体验和结果:研究方案。
背景:注意力缺陷多动障碍(ADHD)是最普遍的儿童精神疾病,对公共卫生、个人和家庭都有深远的影响。注意力缺陷多动障碍(ADHD)需要综合治疗;然而,缺乏沟通和多点医疗整合是取得进展的一大障碍。鉴于多动症的长期性和普遍性,创新方法至关重要。我们开发了数字健康干预(DHI)--CoolTaCo [Cool Technology Assisting Co-regulation],以解决这些关键障碍。CoolTaCo 使用以患者为中心的数字医疗保健技术(PC-DHT)来促进共同调节(儿童/家长)、捕捉患者数据、支持高效的医疗保健服务、提高患者参与度并促进共同决策,从而改善有严重不良后果风险的儿童及时获得有针对性的心理健康干预的机会。本文将介绍我们计划通过随机对照试验(RCT)评估 CoolTaCo 疗效的方案:我们将招募 60 名患有多动症(ADHD)的儿童(8-12 岁),他们将被随机分配到立即治疗组(30 人)或延迟治疗组(30 人)(即候选对照组)。在随机分配的立即治疗组中,一半将接受 DHI(通过智能手表和智能手机应用程序进行治疗),另一半将接受积极的对照照常治疗(TAU)。与 DHI 组不同的是,TAU 组将接受智能手表,设备上没有指定的活动、应用程序或干预措施。干预期将持续 16 周;参与者在延迟治疗组接受 16 周治疗并完成等待期后评估后,将被随机分配到干预组或积极对照组。因此,30 名参与者将完成干预,30 名参与者将完成积极对照,总样本中的一半将完成等待期:讨论:多动症患者的需求非常复杂。尽管认知行为疗法(CBT)和药物治疗的效果有所改善,但长期维持治疗往往是传统医疗方法无法解决的难题,而且正如我们所描述的,跨医疗点信息共享的无效方法进一步阻碍了治疗的进展。本研究于 2024 年 6 月 13 日在 ClinicalTrials.gov 注册为临床试验(针对多动症儿童的数字健康干预,ID# NCT06456372)。
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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