Predictors of Health Care Utilization and Costs Attributable to Hip Fractures
Predictors of Health Care Utilization and Costs Attributable to Hip Fractures
批准号:
8525293
负责人:
KRISTINE ENSRUD
金额:
$29.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2016-08-31
关键词:
AcuteAddressAffectAgingBedsBody WeightCaringCharacteristicsClinicalCohort StudiesComorbidityConflict (Psychology)Control GroupsDataData SetDatabasesEconomic BurdenElderly womanEpidemiologyFoundationsFractureFundingFutureHealth Care CostsHealth PersonnelHealth StatusHealthcareHealthcare SystemsHip FracturesHome Health Care AgenciesHome environmentHospitalsIncidenceIndividualInpatientsInterventionIntervention StudiesLength of StayLinkLocationMeasurementMeasuresMedicare claimMental DepressionMoodsMorbidity - disease rateNational Institute on AgingOccupational TherapistOperative Surgical ProceduresOutcome StudyOwnershipParticipantPatientsPerformancePoliciesPopulationPrimary Care PhysicianRehabilitation therapyRelative (related person)ResearchSiteSkilled Nursing FacilitiesSpecialistTimeUnited StatesUnited States National Institutes of HealthVariantWomanage relatedagedaging populationbaseburden of illnesscognitive functioncohortcostfollow-upfunctional statushealth care service utilizationhuman old age (65+)innovationolder womenosteoporosis with pathological fracturepaymentpressureprospectiveresponsestudy characteristicssuccess
中文摘要
描述(由申请人提供):髋部骨折是美国老年人发病率和相关医疗保健费用的主要原因。随着老龄化人口的一般疾病负担和美国医疗保健系统的相关成本压力在未来几年增加,需要努力降低髋部骨折的发病率和成本负担。虽然减少髋部骨折发生率的干预措施取得了一定的成功,但治疗和康复髋部骨折的费用也必须减少,以减轻经济负担。以前的髋部骨折成本研究仅基于索赔数据,重点是估计特定人群的平均成本或影响髋部骨折后急性期后护理使用的医疗保健系统结构特征,并没有检查可能解释髋部骨折成本个体差异大的因素。 在本提案中,为了响应国家老龄化研究所发布的PA-09-265,我们建议使用一个数据库,将具有里程碑意义的NIH资助的骨折流行病学前瞻性队列研究,骨质疏松性骨折研究(SOF)与医疗保险索赔数据联系起来。与以往的骨折结局研究最多只能对非常有限的骨折前特征进行回顾性评估不同,SOF队列研究对每位研究参与者的骨折前特征进行了全面、多次测量,自1992年1月1日以来,在10,336名女性中确认了1254例髋关节骨折。链接的SOF-Medicare索赔数据集提供了一个独特的机会,可以准确和精确地量化可归因于髋部骨折的医疗保健成本,并提供对个体患者骨折前特征和医疗保健系统结构变量与可归因于髋部骨折的医疗保健成本和利用率的关联的稳健估计。我们的建议的具体目的是:1)估计骨折前的身体表现,积极的影响,抑郁,认知功能和体重的轨迹与医疗保健费用,急性住院时间,熟练护理设施(SNF)的住院时间,住院康复设施(IRF)的住院时间归因于髋部骨折的关联; 2)估计卫生保健系统结构变量的关联(当地急症护理医院、SNF、IRF、家庭医疗保健机构和医疗保健提供者供应的特征)与髋部骨折归因成本和髋部骨折后急症医院、SNF和IRF住院时间;以及3)估计髋部骨折导致的医疗保健利用和成本的长期轨迹。 量化髋部骨折导致的医疗保健费用,并确定个体患者骨折前预测因子与独立预测医疗保健使用和费用的医疗保健系统结构变量之间的关联,将为未来的干预研究和政策规划奠定基础,以修改这些因素,从而降低髋部骨折的整体社会成本负担。
英文摘要
DESCRIPTION (provided by applicant): Hip fractures are a leading cause of morbidity and associated health care costs in older people in the United States. As the general disease burden of the aging population and related cost pressures on the United States health care system mount in the years ahead, efforts are needed to reduce the morbidity and cost burden of hip fractures. While interventions to reduce the incidence of hip fracture have had modest success, costs of treating and rehabilitating hip fractures must also be reduced to lower the economic burden. Previous studies of hip fracture costs have been based on claims data only, have focused on estimation of mean costs across specific populations or on health care system structural characteristics that influence post-acute care use after hip fracture, and have not examined factors that may explain the large individual variation in costs due to hip fracture. In this proposal and in response to PA-09-265 issued by the National Institute on Aging, we propose use a database linking the landmark NIH-funded prospective cohort study of the epidemiology of fractures, the Study of Osteoporotic Fractures (SOF), with Medicare claims data. Unlike previous fracture outcome studies that have at most retrospective assessment of very limited pre-fracture characteristics, the SOF cohort has comprehensive, multiple measurements of pre-fracture characteristics for each study participant and has confirmed 1254 incident hip fractures since January 1, 1992 among 10,336 women. The linked SOF-Medicare claims dataset offers a unique opportunity to quantify with accuracy and precision the health care costs attributable to hip fracture as well as provide robust estimates of the associations of individual patient pre- fracture characteristics and health care system structural variables with health care costs and utilization attributable to hip fracture. The specific aims of our proposal are to: 1) Estimate the associations of pre-fracture trajectories of physical performance, positive affect, depression, cognitive function and body weight with health care costs, acute hospital length of stay, skilled nursing facility (SNF) length of stay, and inpatient rehabilitation facility (IRF) length of stay attributable to hip fracture; 2) Estimate the associations of health care system structural variables (characteristics of local acute care hospitals, SNF's, IRF's, home health care agencies, and health care provider supply) with hip fracture attributable costs and acute hospital, SNF, and IRF lengths of stay after hip fracture; and 3) Estimate the long-term trajectory of health care utilization and costs attributable to hip fracture. Quantification of the health care costs attributable to hip fracture and identification of the associations of individual patient pre-fracture predictors and health care system structural variables that independently predict health care use and costs will lay the foundation for future intervention studies and policy planning to modify these factors such that the overall societal cost burden of hip fractures can be reduced.
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