Show-N-Tell: Computerized Assessment of Pain in Children
Show-N-Tell: Computerized Assessment of Pain in Children
批准号:
7612475
负责人:
Anthony P Zuccolotto
金额:
$14.17万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-14 至 2011-01-31
关键词:
AcuteAcute PainAddressAdultAfrican AmericanAgeAreaAsiansBlood PressureBusinessesCartoonsCaucasiansCaucasoid RaceChildChild health careChildhoodClinicClinicalCodeCognitiveColorCommunicationComplexComputer softwareComputersDataDescriptorDevelopmentDevicesDiscipline of NursingDiseaseDistressElderlyEnsureEthnic OriginEthnic groupFaceFacial Affective ScaleFemaleFigs - dietaryGastroenterologyGenderGoalsGoldHandHandheld ComputersHeadHealth Care CostsHealth PersonnelHealth ProfessionalHealthcareHeart RateHispanicsHumanIndividualInterventionIntestinesLanguageLeadLeftMeasurementMeasuresMedicalModelingMonitorMorbidity - disease rateMuscleNumerical valueOrthopedicsOutcomeOutpatientsPainPain Assessment ToolPain MeasurementPain managementPain-FreeParentsPatient Self-ReportPatientsPhasePhase I Clinical TrialsPhysical therapyPhysiciansPhysiologic MonitoringPhysiologicalPolicy MakerPsychologyRaceResearchResearch PersonnelResearch ProposalsSamplingSeriesStructureSymptomsSystemTabletsTechniquesTechnologyTestingTimeTouch sensationTranslatingTraumaValidity and ReliabilityVariantVisual Analogue Pain ScaleWorkanaloganimationbasecomputer generatedcomputerizeddata collection evaluationdesigneffective therapyexperiencefunctional disabilityimprovedinnovationmalemetermultidisciplinarynovelpreferencepublic health relevanceresponsesoftware developmenttooltouchscreen
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): Health care professionals who work with children have an especially difficult task when it comes to assessment of pain, particularly acute pain. Proper assessment of pediatric pain symptoms is needed not only for managing symptoms, but also for determining effective treatment and intervention. There are several assessment tools available for pediatric pain, the most common being either Likert scales (rate pain on scale of 1 to 10) or a series of cartoon type faces showing various amounts of distress. None of the current assessment techniques have been adapted for presentation/scoring/tracking via computer. Moreover, none of the assessment techniques utilize any physiological response indicators of pain in conjunction with self-report. The goal of this project is to develop a computerized face scale assessment - the Show-n-Tell - that will reliably quantify degree of pain symptoms in children and gather physiological measurement (heart rate and blood pressure) concurrent with self-report. Versions specific for gender, age, and ethnicity will be developed. The faces will be presented on a hand-held PC with touch screen capability. The child will see an initial neutral face which they can adjust through various levels of pain to indicate their level of perceived pain. Concurrently, unobtrusive physiological monitors worn by the child will register heart rate and blood pressure. In the Phase I portion, we will: 1) demonstrate that pediatric patients can reliably use a face scale on a handheld device to translate their pain level, 2) assess the association between self-report and physiological indications of pain, 3) assess the correlation between the child's self- report, physician rating, and parent rating in a sample of children with acute pain, 4) assess the feasibility of using the Show-n-Tell in a Physical Therapy Clinic and other specialized assessment settings. PUBLIC HEALTH RELEVANCE: This study will provide a quick and easy assessment of pain in children that can be presented and tracked on a hand held computer with concurrent physiological assessment. This test will allow patients, researchers, clinicians and policy-makers to collaborate in addressing the complex illness management issues faced by the numerous health care providers who assess pediatric pain. Specialized pain interventions have the potential to decrease morbidity, healthcare costs, and better track patient related outcomes.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Advancing and calibrating anisotropic diffusion MR imaging brain connectome with Taxon brain network diffusion phantoms
-
批准号:9893037
-
项目类别:
-
资助金额:$62.15万
-
财政年份:2017
-
负责人:Anthony P Zuccolotto
-
依托单位:
Advancing and calibrating anisotropic diffusion MR imaging brain connectome with Taxon brain network diffusion phantoms
-
批准号:9410059
-
项目类别:
-
资助金额:$18.91万
-
财政年份:2017
-
负责人:Anthony P Zuccolotto
-
依托单位:
Screening for Medication IQ and Managing Medication
-
批准号:7054172
-
项目类别:
-
资助金额:$12.98万
-
财政年份:2006
-
负责人:Anthony P Zuccolotto
-
依托单位:
Managing Complexity in Psychology Experiment Generation
-
批准号:7230534
-
项目类别:
-
资助金额:$35.07万
-
财政年份:2004
-
负责人:Anthony P Zuccolotto
-
依托单位:
Managing Complexity in Psychology Experiment Generation
-
批准号:7055089
-
项目类别:
-
资助金额:$39.61万
-
财政年份:2004
-
负责人:Anthony P Zuccolotto
-
依托单位:
Managing Complexity in Psychology Experiment Generation
-
批准号:6833699
-
项目类别:
-
资助金额:$12.45万
-
财政年份:2004
-
负责人:Anthony P Zuccolotto
-
依托单位:
Virtual Reality and Functional MRI to Study Drug Craving
-
批准号:7407663
-
项目类别:
-
资助金额:$10.69万
-
财政年份:2002
-
负责人:Anthony P Zuccolotto
-
依托单位:
BEHAVIORAL SOFTWARE LABORATORY--FROM PEARL TO E-PRIME
-
批准号:2714278
-
项目类别:
-
资助金额:$37.21万
-
财政年份:1997
-
负责人:Anthony P Zuccolotto
-
依托单位:
BEHAVIORAL SOFTWARE LABORATORY--PEARL
-
批准号:2332823
-
项目类别:
-
资助金额:$10.0万
-
财政年份:1997
-
负责人:Anthony P Zuccolotto
-
依托单位:
BEHAVIORAL SOFTWARE LABORATORY--FROM PEARL TO E-PRIME
-
批准号:2890904
-
项目类别:
-
资助金额:$37.7万
-
财政年份:1997
-
负责人:Anthony P Zuccolotto
-
依托单位:
海外基金