Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
基本信息
- 批准号:10204069
- 负责人:
- 金额:$ 64.98万
- 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:2018-08-08 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:Academic Medical CentersAddressAdmission activityAdoptedBirthBirth OrderCaringChildhoodCodeColorConfusionCuesEffectivenessElectronic Health RecordElementsFirst NameFrequenciesFundingFunding OpportunitiesGoalsGuidelinesHealth PersonnelHospitalsImageInfantJointsLast NameLeadLength of StayMeasuresMedical ErrorsMedical RecordsMedication ErrorsMethodsMothersMultiple Birth OffspringNamesNational Institute of Child Health and Human DevelopmentNeonatalNeonatal Intensive Care UnitsNewborn InfantOutcome MeasurePanthera leoParentsPatientsPediatric HospitalsPerceptionPerinatalPrincipal InvestigatorProceduresProcessProviderPublishingQualitative EvaluationsRandomizedRandomized Controlled TrialsResearchRiskSafetySiblingsSiteSubgroupSurveysSystemTestingTimeTwin Multiple BirthUnited States Agency for Healthcare Research and QualityVisualdesigneffectiveness analysiseffectiveness evaluationeffectiveness testingexperiencehigh riskimprovedminimally invasiveneonatal patientnovelpatient safetypreventprimary outcomesexsymposium
项目摘要
Wrong-patient errors pose a serious threat to patient safety, and newborns in the neonatal intensive
care unit (NICU) are at greatest risk. Half of infants in the NICU on any given day are estimated to be at risk of
a wrong-patient error as a result of having similar identifiers. A major contributing factor is the use of
temporary, nondistinct first names, e.g., Babyboy/Babygirl, that are assigned to newborns at birth and remain
unchanged throughout their hospital stay. Use of a distinct newborn naming convention that incorporated the
mother’s first name (e.g., Wendysgirl) reduced the risk of wrong-patient orders in the NICU by 36%. However,
the distinct naming convention conferred benefit only for singletons—multiple births remained at high risk as a
result of siblings sharing the same name distinguished by a single character (e.g., 1Wendysgirl, 2Wendysgirl).
Displaying patient photographs in electronic health records (EHRs) is a promising strategy to improve
patient identification. However, photographs are unlikely to be an effective identifier in the NICU where an
additional identifier is urgently needed. In place of patient photographs, we propose BabySAFE Pictographs
as a “photo equivalent” for newborns in the NICU. Pictographs consist of three elements: 1) a pictorial image of
a readily identifiable, distinctive, and easy-to-remember object; 2) the infant’s given name; and 3) a color-
coded border indicating the infant’s sex. Pictographs will be displayed at the bedside and in the EHR to serve
as a visual cue when providers place orders. Parents will select a Pictograph for their infants for the duration of
their hospital stay, with no two infants having the same Pictograph at the same time in the same NICU.
We propose conducting a cluster randomized controlled trial to assess the effectiveness of Pictographs
for reducing wrong-patient orders in the NICU. We will use the automated Wrong-Patient Retract-and-Reorder
measure, developed and validated by the Principal Investigator of this proposal, as the primary outcome
measure. Our main hypothesis is that Pictographs will reduce the frequency of wrong-patient orders in the
NICU, including among siblings of multiple births. We propose the following specific aims:
Aim 1: To conduct a multi-site, cluster randomized controlled trial to compare the frequency of wrong-
patient orders in the NICU between providers randomized to view verification screens with versus without
BabySAFE Pictographs, as identified by the Wrong-Patient Retract-and-Reorder measure.
Aim 2: To conduct subgroup analyses of the effectiveness of BabySAFE Pictographs for reducing the
frequency of wrong-patient orders among siblings of multiple births in the NICU.
Aim 3: To conduct a qualitative evaluation to examine the perceptions and experiences of healthcare
providers and parents about BabySAFE Pictographs as an additional identifier for newborns in the NICU.
This proposal addresses research gaps identified by the National Institute of Child Health and Human
Development, which seeks projects to develop novel and improved methods of neonatal patient identification.
错误的患者错误对患者安全构成严重威胁,并在新生儿重症新生儿
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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Jason Stuart Adelman其他文献
Jason Stuart Adelman的其他文献
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{{ truncateString('Jason Stuart Adelman', 18)}}的其他基金
Simulation for Attending Obstetricians to Improve Technical Skills for Managing Postpartum Hemorrhage
模拟主治产科医生提高处理产后出血的技术技能
- 批准号:
10650709 - 财政年份:2022
- 资助金额:
$ 64.98万 - 项目类别:
Simulation for Attending Obstetricians to Improve Technical Skills for Managing Postpartum Hemorrhage
模拟主治产科医生提高处理产后出血的技术技能
- 批准号:
10346611 - 财政年份:2022
- 资助金额:
$ 64.98万 - 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
- 批准号:
9759951 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Columbia University Patient Safety and Health Services Research Training
哥伦比亚大学患者安全与健康服务研究培训
- 批准号:
10187649 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
- 批准号:
9980442 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Patient Safety and Health Services Research Training
患者安全与健康服务研究培训
- 批准号:
10747777 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
- 批准号:
10440291 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Columbia University Patient Safety and Health Services Research Training
哥伦比亚大学患者安全与健康服务研究培训
- 批准号:
10407968 - 财政年份:2018
- 资助金额:
$ 64.98万 - 项目类别:
Providing Evidence and Developing a Toolkit to Accelerate the Adoption of Patient Photographs in Electronic Health Records
提供证据并开发工具包以加速电子健康记录中患者照片的采用
- 批准号:
9750084 - 财政年份:2017
- 资助金额:
$ 64.98万 - 项目类别:
Assess Risk of Wrong Patient Errors in an EMR that Allows Multiple Records Open
评估允许打开多条记录的 EMR 中错误患者错误的风险
- 批准号:
8828955 - 财政年份:2014
- 资助金额:
$ 64.98万 - 项目类别:
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