Analysis of Restoration Longevity in Elderly Patients using Electronic Dental Rec
Analysis of Restoration Longevity in Elderly Patients using Electronic Dental Rec
批准号:
8740478
负责人:
TITUS K. SCHLEYER
金额:
$13.09万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-25 至 2016-03-31
关键词:
1 year oldAddressAffectBuffaloesClinicClinicalClinical DataCodeCommunicationDataData AnalysesData SetData SourcesDentalDental RecordsDental ResearchDental cariesDentistryDentistsDevelopmentDiagnosisDiagnosticDiseaseElderlyElectronicsEpidemiologyEventFutureHealthHealth Maintenance OrganizationsHealthcareInsuranceInsurance CoverageJointsLinkLongevityMapsMedicalMethodologyMethodsMinnesotaMouth DiseasesOntologyOral healthOutcomePaperParticipantPatientsPlant RootsPopulationProcessRecording of previous eventsRecordsRegression AnalysisResearchResearch DesignSample SizeSurfaceSurvival AnalysisSystemTimeTooth structureUniversitiesWisconsinbaseclinical practicecomparative effectivenesscomposite restorationcostdesignhuman old age (65+)innovationinsightmethod developmentnovelolder patientpatient populationpublic health relevanceresearch studyrestorationrestorative dentistryvirtual
中文摘要
描述(由申请人提供):患者、牙齿和修复体水平的因素如何影响老年患者群体中银汞合金和复合修复体的寿命是一个重要的问题,因为目前全国正在就医疗保健的质量、成本和适当性进行辩论。目前关于老年人修复寿命的现有结果在几个方面都是有限的(很少有关于老年人的研究;大多数现有的研究是在美国以外进行的,地理有限,通常是专门的人口;样本量小;以及数据来源的固有偏见)。该项目建议使用来自两个主要健康维护组织HealthPartners和Marshfield Clinic的电子牙科记录(EDR)数据来分析修复寿命。我们将在两个特定的目标(SA)中这样做:(1)使用基于本体的方法从虚拟数据仓库(VDW)中生成用于统计分析的研究数据集;(2)对数据集进行统计分析,以确定影响老年人修复寿命的因素。在SA 1中,我们将首先扩展匹兹堡大学和布法罗大学合作开发的口腔健康和疾病本体(OHDO),以包括所有研究变量。然后,我们将OHDO链接到卫生维护组织研究网络的一个项目-虚拟数据仓库(VDW)中的EDR数据的关系数据集,并将OHDO中的数据转换为适合统计分析的数据集。SA 2将为65岁及以上的患者回答两个研究问题:(1)银汞合金修复(AR)和复合修复(CR)的寿命是否取决于患者的龋病史?(2)AR和CR的寿命是否取决于根面是否参与修复?我们将通过分析老年患者的EDR数据来回答这些研究问题。我们的项目具有创新性,因为它将为广大人口大规模使用EDR数据,产生一个从EDR数据生成统计数据集的简化和可重复的过程,并提供对类似研究有用的方法进步。该项目将解决对患者和牙医重要的研究问题;产生一种从多个EDR系统中提取各种临床数据并将其用于临床、比较有效性、流行病学和其他研究的通用方法;并为牙科和医疗数据的联合分析创造未来的机会。
英文摘要
DESCRIPTION (provided by applicant): How patient-, tooth- and restoration-level factors affect the longevity of amalgam and composite restorations in elderly patient populations is an important question given the current national debate on the quality, cost and appropriateness of health care. Currently available results on restoration longevity in the elderly are limited in several ways (few studies on the elderly; most existing studies conducted outside the US with geographically limited, often specialized populations; small sample sizes; and inherent biases in data sources). This project proposes analyzing restoration longevity using electronic dental record (EDR) data from two major health maintenance organizations, HealthPartners and the Marshfield Clinic. We will do so in two specific aims (SA): (1) generate a research dataset from the Virtual Data Warehouse (VDW) for statistical analysis using an ontology-based method; and (2) perform statistical analysis of the dataset to determine factors influencing restoration longevity in the elderly. In SA 1, we will first extend the Oral Health and Disease Ontology (OHDO) being developed collaboratively at the University of Pittsburgh and the University at Buffalo to include all study variables. Then, we will link the OHDO to the relational dataset of EDR data in the Virtual Data Warehouse (VDW), a project of the Health Maintenance Organization Research Network and transform the data in the OHDO into a dataset suitable for statistical analysis. SA 2 will answer two research questions for patients 65 years and older: (1) Does the longevity of amalgam restorations (AR) and composite (CR) restorations depend on a patient's caries history? (2) Does the longevity of AR and CR depend on whether the root surface is involved in the restoration? We will answer these research questions by analyzing EDR data from a population of elderly patients. Our project is innovative because it will use EDR data on a large scale for a broad population, produce a streamlined and reproducible process of generating statistical datasets from EDR data, and offer a methodological advance useful for similar studies. The project will address research questions important to patients and dentists; produce a generalizable method for extracting a variety of clinical data from multiple EDR systems and using them for clinical, comparative effectiveness, epidemiological and other research; and create future opportunities for the conjoint analysis of dental and medical data.
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海外基金