Mixed-Methods Evaluation of Mobile Health Adaptive Learning Training for Pediatric Healthcare Workers in Tanzania
Mixed-Methods Evaluation of Mobile Health Adaptive Learning Training for Pediatric Healthcare Workers in Tanzania
批准号:
10863717
负责人:
Zachary Haines Smith
金额:
$0.25万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-06-20 至 2023-07-09
关键词:
AddressAdherenceAffectAlgorithmsAwardCOVID-19CaringCessation of lifeChildChild health careChildhoodClinical ResearchCritically ill childrenDataDevelopmentDevicesDouble-Blind MethodE-learningEducationEducation GapEducational CurriculumElectronicsEnsureEquityEvaluationFocus GroupsFoundationsFundingFutureGoalsGroup InterviewsHabitsHealth PersonnelHealth systemHealthcareHuman ResourcesIndividualInternationalInterventionInterviewInvestigationKnowledgeKnowledge acquisitionLearningMeasuresMedical centerMethodsParticipantPatientsPediatric cohortPerceptionPersonsPublic HealthQualitative MethodsQuality of CareRandom AllocationRandomizedRandomized, Controlled TrialsResearchResearch DesignResearch PersonnelResource-limited settingResourcesSamplingStandardizationStructureTanzaniaTechnologyTrainingTraining ProgramsWorld Health Organizationacute careadaptive learningarmburden of illnesscareer developmentcohortcomparativecostdesignefficacy evaluationevidence based guidelinesfuture implementationimplementation costimplementation strategyimprovedimproved outcomeinnovationinternational partnershiplearning strategylow and middle-income countriesmHealthmobile computingmortalitynew technologypediatric patientspost interventionprospectivetooltreatment arm
中文摘要
项目摘要
低收入和中等收入国家(LMICs)的可治愈疾病导致数百万儿童死亡
每年.由世界卫生组织创建的循证指南(EBG)显示出改善
LMIC中的儿科患者的治疗结果,并减少这种可承受的疾病负担。利用现有
然而,EBG在医护人员(HCW)中变化很大,并导致死亡率增加。
移动的技术已经改变了公共卫生的许多方面,但尚未充分利用于卫生保健
训练自适应学习,它使用电子算法向学习者提供个性化的内容,
促进在资源丰富的环境中提高学习效率,并可加强移动的培训平台
在中低收入国家。为了评估这些工具在解决中低收入国家现有教育差距方面的有效性,我们
设计了一个自适应电子学习课程的基础上,现有的EBG的管理儿科
中低收入国家的疾病。我们假设,一个适应性的电子学习课程将增加HCW知识
的EBG为儿童的严重疾病的护理和学习者的看法的知识将告知
创建和实施未来的电子学习干预措施。
我们将在坦桑尼亚姆万扎的一组儿科HCW中进行混合方法研究。定量
研究设计将是前瞻性随机化平行组双盲,分配比为1:1。所有
参加者将完成一个电子学习课程的优先内容领域,
持份者干预组的参与者将获得适应性电子学习课程,
对照组将接受非适应性电子学习课程。知识获取将被衡量
使用标准平均效应量比较课程前和课程后的知识评估。半结构
并对定量参与者进行随机抽样的小组访谈,以确定HCW习惯
和对电子学习干预的看法。成功完成拟议的研究
将作为开发创新解决方案和低成本实施战略的基础
旨在改善全世界重病儿童的护理。
英文摘要
PROJECT ABSTRACT
Preventable illness in low- and middle-income countries (LMICs) contributes to millions of pediatric deaths
each year. Evidence-based guidelines (EBG) created by the World Health Organization are shown to improve
outcomes for pediatric patients in LMICs and reduce this amenable burden of disease. Utilization of existing
EBG is highly variable among healthcare workers (HCWs), however, and contributes to increased mortality.
Mobile technology has transformed many aspects of public health, but is yet to be fully leveraged for HCW
training. Adaptive learning, which uses electronic algorithms to deliver individualized content to learners,
promotes increased learning efficiency in high-resource settings and could strengthen mobile training platforms
in LMICs. To evaluate the efficacy of these tools in addressing the existing educational gap in LMICs, we
designed an adaptive electronic learning curriculum based on existing EBG for the management pediatric
illness in LMICs. We hypothesize that an adaptive electronic learning curriculum will increase HCW knowledge
of EBG for the care of serious illness in children and that knowledge of learner perceptions will inform the
creation and implementation of future electronic learning interventions.
We will conduct a mixed-methods study among a cohort of pediatric HCWs in Mwanza, Tanzania. Quantitative
study design will be prospective randomized parallel-group double- blinded with an allocation ratio of 1:1. All
participants will complete an electronic learning curriculum on priority content areas as defined by local
stakeholders. Participants in the intervention arm will receive an adaptive electronic learning curriculum, and
controls will receive a non-adaptive electronic learning curriculum. Knowledge acquisition will be measured
using standard mean effect size comparing pre- and post-curriculum knowledge assessments. Semi-structured
and group interviews with a random sample of quantitative participants will be used to determine HCW habits
and perceptions relating to electronic learning interventions. Successful completion of the proposed research
will serve as the foundation for the development of innovative solutions and low-cost implementation strategies
aimed at improving the care of seriously ill children worldwide.
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Mixed-Methods Evaluation of Mobile Health Adaptive Learning Training for Pediatric Healthcare Workers in Tanzania
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批准号:10538413
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项目类别:
-
资助金额:$7.91万
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财政年份:2022
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负责人:Zachary Haines Smith
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依托单位:
海外基金