Evaluation of the Requirements and Critical Features of a Drone-Deployed AED Network to Improve Community-Level Survival after OHCA
评估无人机部署的 AED 网络的要求和关键特征,以提高 OHCA 后社区的生存率
基本信息
- 批准号:10219358
- 负责人:
- 金额:$ 18.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-17 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:911 callAccountingAdvisory CommitteesAffectAgeAmericanArrhythmiaAutomated External DefibrillatorBrainCardiopulmonary ResuscitationCensusesCharacteristicsChestCommunitiesDataData ScienceDatabasesDropsEducationEffectivenessElderlyElectric CountershockEmergency SituationEmergency medical serviceEmergency treatmentEnsureEuropeEvaluationFundingGenderGeographic LocationsGrantHeart ArrestHispanicsHospitalsHouseholdIncidenceIncomeInstitute of Medicine (U.S.)InterventionLeadLocationLong-Term SurvivorsMeasurableMedicalMedical emergencyMentorsMentorshipMethodsMinorityModelingNeighborhoodsNervous System PhysiologyNorth CarolinaOrganOutcomePatientsPatternPerformancePhenotypePositioning AttributePragmatic clinical trialRaceRefractoryRegistriesResearchResuscitationRiskRuralShockSupervisionSurvival RateSystemTestingTimeTrainingTreatment EffectivenessUnited StatesUnited States National Institutes of HealthUniversitiesUse EffectivenessVentricular TachycardiaWorkbasedesignemergency service responderfirst respondergeographic riskheart functionhigh riskimprovedinnovative technologiesmodels and simulationmultiple data sourcesnetwork modelsout-of-hospital cardiac arrestrural countiessexsimulationtraining opportunitytreatment effecttreatment responders
项目摘要
Abstract
Out-of-hospital cardiac arrest (OHCA) affects over 350,000 Americans annually and survival rates are very
low. For every 1-minute delay in achieving return of effective heart function after collapse, the chance of
survival drops by 10%. Bystanders can aid in the emergency treatment of OHCA victims by performing chest
compressions and by using automated external defibrillators (AEDs). However, current bystander use of static
AEDs is very low and defibrillation is primarily administered by first responders and emergency medical
services (EMS) whose median arrival time (8 minutes) is too late to save most OHCA patients. Using a drone
to deliver AEDs to OHCA victims within 3 to 5 minutes of the 911 call is an exciting new concept that is based
on current technical capabilities of drones. Early work with simulation models has demonstrated the potential of
a strategically designed drone network to deliver an AED to an OHCA substantially more rapidly than EMS can
achieve. However, these early simulations assumed complete effectiveness of AED use when delivered to an
OHCA scene without considering the bystander variables. It is well-known that bystanders may hesitate to
perform CPR and to apply an AED, and that select demographic and neighborhood factors (age, sex,
race/gender, education) may be predictive of such treatment variability. The time it takes a bystander to extract
an AED and apply it successfully in OHCA may critically impact overall survival gains from timely drone AED
delivery. An accurate understanding of potential treatment effectiveness should account for expected
bystander performance. The overarching aim of this application is to utilize data science and simulation
research to estimate end-user performance and treatment-effectiveness of a drone network accounting for
community, first responder, and EMS performance. Aim 1 will determine the optimal placement of drone
stations to ensure timely AED arrival in high-OHCA risk geographic areas (within 3 to 5 minutes) across North
Carolina. Aim 2 will define and determine the association of community phenotypic clusters on OHCA
treatment patterns in high-incidence NC communities. Aim 3 will use simulated drone AED OHCA scenarios to
define drone-AED-bystander treatment intervals among community phenotypic clusters (e.g., minority, rural,
low education, elderly) in high-OHCA risk NC neighborhoods. Results from Aims 2 and 3 will be used to refine
our optimization model (Aim 1) to estimate treatment effectiveness and efficiency. The proposed work will be
carried out under the direct supervision of Dr. Starks mentorship team: mentor (Dr. Daniel Mark), co-mentor
(Dr. Christopher Granger), and her advisory team (Drs. Billy Williams and Graham Nichol). This K23
application with the support and guidance of her mentorship team and advisory committee will position Dr.
Starks to eventually lead independent NIH funded studies focused on community treatment of OHCA, including
developing/testing interventions to improve AED use in OHCA and pragmatic clinical trials to determine if our
model-based EMS drone AED delivery system measurably improves empirical outcomes in OHCA victims.
摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Monique Anderson Starks其他文献
Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry
- DOI:
10.1016/j.resuscitation.2024.110322 - 发表时间:
2024-09-01 - 期刊:
- 影响因子:
- 作者:
Rohan Khera;Arya Aminorroaya;Kevin F. Kennedy;Paul S. Chan;Anne Grossestreuer;Ari Moskowitz;Joseph Ornato;Matthew Churpek;Monique Anderson Starks;Saket Girotra;Sarah Perman - 通讯作者:
Sarah Perman
Relation Between the Incidence of In-Hospital Cardiac Arrest and Survival in Older Patients
住院心脏骤停发生率与老年患者生存率之间的关系
- DOI:
10.1016/j.jacc.2025.04.067 - 发表时间:
2025-07-08 - 期刊:
- 影响因子:22.300
- 作者:
Rohit Nathani;Qiang Li;Paul S. Chan;Cathy Nguyen;Thomas Koshy;Hurst M. Hall;Amgad Mentias;Saket Girotra;Paul S. Chan;Saket Girotra;Anne Grossestreuer;Ari Moskowitz;Joseph Ornato;Matthew Churpek;Monique Anderson Starks;Sarah Perman - 通讯作者:
Sarah Perman
Monique Anderson Starks的其他文献
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{{ truncateString('Monique Anderson Starks', 18)}}的其他基金
Evaluation of the Requirements and Critical Features of a Drone-Deployed AED Network to Improve Community-Level Survival after OHCA
评估无人机部署的 AED 网络的要求和关键特征,以提高 OHCA 后社区的生存率
- 批准号:
10041523 - 财政年份:2020
- 资助金额:
$ 18.52万 - 项目类别:
Evaluation of the Requirements and Critical Features of a Drone-Deployed AED Network to Improve Community-Level Survival after OHCA
评估无人机部署的 AED 网络的要求和关键特征,以提高 OHCA 后社区的生存率
- 批准号:
10439455 - 财政年份:2020
- 资助金额:
$ 18.52万 - 项目类别:
Evaluation of the Requirements and Critical Features of a Drone-Deployed AED Network to Improve Community-Level Survival after OHCA
评估无人机部署的 AED 网络的要求和关键特征,以提高 OHCA 后社区的生存率
- 批准号:
10655355 - 财政年份:2020
- 资助金额:
$ 18.52万 - 项目类别:
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