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的可预防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)显示出改进
这将有助于改善LMICs中儿童患者的预后,并减少这一可承担的疾病负担。现有资源的利用
然而,EBG在医护人员(HCW)中变化很大,并导致死亡率增加。
移动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。适应性学习,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,并可加强移动培训平台
在LMIC中。为了评估这些工具在解决LMIC现有教育差距方面的有效性,我们
在现有EBG的基础上,设计了适合管理儿科的适应性电子学习课程
LMIC中的疾病。我们假设,适应性的电子学习课程将增加HCW知识
EBG用于照顾儿童的严重疾病,对学习者感知的知识将使
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群儿科医务工作者中进行一项混合方法研究。量化
研究设计为前瞻性、随机、平行、双盲,分配比例为1:1。
学员将完成电子学习课程,内容涉及当地政府定义的优先内容领域
利益相关者。干预组的参与者将接受适应性电子学习课程,以及
Controls将接受非适应性电子学习课程。将对知识获取进行衡量
使用标准平均效应量比较课程前后的知识评估。半结构化
对量化参与者的随机抽样的小组访谈将被用来确定卫生保健工作的习惯
以及对电子学习干预的看法。圆满完成拟议的研究
将作为开发创新解决方案和低成本实施战略的基础
旨在改善世界各地重病儿童的护理。
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