Fostering medication adherence in children with epilepsy using mHealth technology
利用移动医疗技术促进癫痫儿童的药物依从性
基本信息
- 批准号:10398982
- 负责人:
- 金额:$ 66.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdherenceAdmission activityAffectAgeAntiepileptic AgentsCaregiversCaringCessation of lifeCharacteristicsChildChildhoodChronicDataDevelopmentEducationEmergency department visitEpilepsyFamilyFamily CharacteristicsFeedbackFosteringFrequenciesGoalsHealth Care CostsHealthcareImprove AccessIndividualInpatientsInternetInterventionLearning ModuleMedicalMental HealthModelingMonitorNeurologicNewly DiagnosedParticipantPatientsPatternPediatricsPersonsPopulationProblem SolvingProviderQuality of lifeRandomizedRandomized Controlled Clinical TrialsResearchResourcesRiskSeizuresSelf ManagementSequential Multiple Assignment Randomized TrialSeveritiesSiteTechnologyTestingTextTimeTranslatingTransportationUnderserved PopulationUnited StatesVulnerable PopulationsWorkYouthadaptive interventionbasechildhood epilepsyclinical decision-makingclinical practicecomorbiditycompare effectivenesscostdigitaleffectiveness evaluationefficacy evaluationevidence basefollow-upforgettinghealth care service utilizationimprovedinnovationmHealthmedical specialtiesmedication compliancemobile computingmonitoring devicemortalitynon-drugpatient-clinician communicationphysical conditioningpost interventionpredict responsivenessprimary outcomeprospectivepsychosocialresponsesecondary outcomeskillstooltreatment adherencetreatment grouptrial design
项目摘要
PROJECT SUMMARY/ABSTRACT
Non-adherence to antiepileptic drugs (AEDs) is a common problem (i.e., 58% of patients have some level of
non-adherence) for young children with newly diagnosed epilepsy, with potentially devastating consequences.
AED non-adherence is associated with a 3-fold increased risk of seizures, poor quality of life, inaccurate
clinical decision-making, and higher health care utilization and costs. One of the primary barriers to adherence
is forgetting, which may be particularly amenable to mHealth (mobile technology in healthcare) interventions.
Despite the critical need to develop and implement interventions to improve adherence, there are few family-
based interventions for young children with epilepsy and their families, with the exception of the PI's pilot and
existing R01 trial. Although highly promising, this intervention requires six in-person sessions, which can be
impossible for families who lack routine access to tertiary specialty care due to time, financial, or transportation
constraints. Thus, unmet medical and psychosocial needs of the underserved pediatric epilepsy population are
perpetuated and compounded by limited access to this state of the art care. Our overall goal is to test a
mHealth adherence intervention that is easily accessible using a stepped up care model based on individual
needs. This stepped up care model will conserve patient, family, and provider time, costs and resources. The
aim of this multi-site R01 is to conduct a two-stage, sequential, multiple assignment, randomized trial (SMART)
to evaluate the effectiveness of mHealth intervention strategies for improving AED adherence in caregivers of
young children with epilepsy. A two-month baseline period will be followed by two stages. In Stage 1 (3-months
long), non-adherent caregivers (< 95%) will be randomized to a mHealth education module and automated
digital reminders (control) or the mHealth education module, automated digital reminders, and individualized
adherence feedback based on real-time adherence monitoring (treatment) to address the primary barrier of
forgetting. At the beginning of Stage 2 (two months long), caregivers randomized to treatment who do not
achieve adherence > 95% (response) by the end of Stage 1 will be re-randomized to either continued
individualized adherence feedback or individualized adherence feedback augmented with two mHealth
problem-solving modules (translated from the PIs existing RCTs) with a therapist. Thus, there are three
intervention strategies embedded in this SMART: #1 control, #2 treatment, and #3 problem-solving augmented
treatment if nonresponsive at three months. The primary outcome is electronically-monitored adherence and
secondary outcomes include seizure severity/frequency, quality of life, and healthcare utilization. If the aims of
the project are achieved, this study would have a large impact on pediatric epilepsy, with the potential to
change clinical practice for treating non-adherence. The SMART design would allow us to identify patients who
are most likely to respond to interventions and step up care with more time- and resource-intensive
interventions (i.e., problem-solving with a therapist via the web), when necessary.
项目总结/摘要
不依从抗癫痫药物(AED)是一个常见的问题(即,58%的患者有一定程度的
不遵守)的幼儿与新诊断的癫痫,具有潜在的破坏性后果。
AED非依从性与癫痫发作风险增加3倍、生活质量差、不准确的
临床决策,以及更高的卫生保健利用率和成本。坚持的主要障碍之一
这可能特别适合于mHealth(医疗保健中的移动的技术)干预。
尽管迫切需要制定和实施干预措施以提高依从性,但很少有家庭-
为癫痫患儿及其家庭提供基于基础的干预措施,除了PI的试点和
现有R 01试验。虽然很有希望,但这种干预需要六次面对面的会议,这可能是
对于由于时间、经济或交通原因而无法获得三级专科护理的家庭来说,
约束因此,未得到满足的医疗和心理社会需求的儿童癫痫人口是
由于获得这种最先进护理的机会有限,这种情况长期存在并加剧。我们的总体目标是测试一个
移动健康依从性干预,使用基于个人的逐步护理模式,
需求这种加强的护理模式将节省患者,家庭和提供者的时间,成本和资源。的
本多中心R 01的目的是进行一项两阶段、序贯、多重分配、随机化试验(SMART)
评估移动健康干预策略在改善护理人员AED依从性方面的有效性,
小儿癫痫两个月的基线期之后将分两个阶段。第1阶段(3个月
长期),非依从性护理人员(< 95%)将被随机分配到移动健康教育模块,
数字提醒(控制)或mHealth教育模块,自动数字提醒,个性化
基于实时依从性监测(治疗)的依从性反馈,以解决
遗忘在第二阶段(两个月)开始时,照顾者随机接受治疗,
在第1阶段结束时达到依从性> 95%(缓解)的受试者将重新随机分配至
个性化的坚持反馈或个性化的坚持反馈增强了两个mHealth
问题解决模块(翻译自PI现有RCT)与治疗师。因此存在三
SMART中嵌入的干预策略:#1控制,#2治疗,#3问题解决增强
如果在三个月内无反应,则进行治疗。主要结局是电子监测的依从性,
次要结果包括癫痫发作的严重程度/频率、生活质量和医疗保健利用。如果目标是
该项目的实现,这项研究将对儿童癫痫产生很大的影响,有可能
改变治疗不依从的临床实践。SMART设计将使我们能够识别
最有可能对干预措施做出反应,并加强时间和资源密集型的护理
干预(即,通过网络与治疗师一起解决问题)。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning experience design of an mHealth intervention for parents of children with epilepsy.
- DOI:10.1016/j.ijmedinf.2021.104671
- 发表时间:2022-04
- 期刊:
- 影响因子:4.9
- 作者:Schmidt, Matthew;Glaser, Noah;Riedy, Tina;Rietta, Carmen;Huszti, Heather;Wagner, Janelle;Smith, Gigi;Gutierrez-Colina, Ana M.;Wetter, Sara E.;Guilfoyle, Shanna M.;Patel, Anup;Modi, Avani C.
- 通讯作者:Modi, Avani C.
The psychosocial impact of COVID-19 within the first six months of the pandemic on youth with epilepsy and their caregivers.
- DOI:10.1016/j.yebeh.2021.107855
- 发表时间:2021-04
- 期刊:
- 影响因子:0
- 作者:Modi AC;Patel AD;Stevens J;Smith G;Huszti H;Guilfoyle SM;Mara CA;Schmidt M;Wagner JL
- 通讯作者:Wagner JL
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{{ truncateString('AVANI C MODI', 18)}}的其他基金
Fostering medication adherence in children with epilepsy using mHealth technology
利用移动医疗技术促进癫痫儿童的药物依从性
- 批准号:
9753370 - 财政年份:2018
- 资助金额:
$ 66.96万 - 项目类别:
Improving Drug Adherence Using mHealth and Behavioral Economics in Adolescents with Epilepsy
利用移动医疗和行为经济学提高癫痫青少年的药物依从性
- 批准号:
9794766 - 财政年份:2018
- 资助金额:
$ 66.96万 - 项目类别:
Improving Drug Adherence Using mHealth and Behavioral Economics in Adolescents with Epilepsy
利用移动医疗和行为经济学提高癫痫青少年的药物依从性
- 批准号:
9664255 - 财政年份:2018
- 资助金额:
$ 66.96万 - 项目类别:
Fostering medication adherence in children with epilepsy using mHealth technology
利用移动医疗技术促进癫痫儿童的药物依从性
- 批准号:
10160966 - 财政年份:2018
- 资助金额:
$ 66.96万 - 项目类别:
Web-based Intervention to Improve Executive Functioning in Teens with Epilepsy
基于网络的干预措施可改善癫痫青少年的执行功能
- 批准号:
9034764 - 财政年份:2016
- 资助金额:
$ 66.96万 - 项目类别:
Web-based Intervention to Improve Executive Functioning in Teens with Epilepsy
基于网络的干预措施可改善癫痫青少年的执行功能
- 批准号:
9223718 - 财政年份:2016
- 资助金额:
$ 66.96万 - 项目类别:
Supporting Treatment Adherence Regimens in Pediatric Epilepsy: The STAR Trial
支持小儿癫痫治疗依从性方案:STAR 试验
- 批准号:
8498896 - 财政年份:2013
- 资助金额:
$ 66.96万 - 项目类别:
Supporting Treatment Adherence Regimens in Pediatric Epilepsy: The STAR Trial
支持小儿癫痫治疗依从性方案:STAR 试验
- 批准号:
9044806 - 财政年份:2013
- 资助金额:
$ 66.96万 - 项目类别:
Supporting Treatment Adherence Regimens in Pediatric Epilepsy: The STAR Trial
支持小儿癫痫治疗依从性方案:STAR 试验
- 批准号:
8634808 - 财政年份:2013
- 资助金额:
$ 66.96万 - 项目类别:
Novel Adherence Measurement and Intervention in Children with New-Onset Epilepsy
新发癫痫儿童的新型依从性测量和干预
- 批准号:
7758733 - 财政年份:2008
- 资助金额:
$ 66.96万 - 项目类别:
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