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
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