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Multi-criteria Clinical Decision Support: A Comparative Evaluation

多标准临床决策支持：比较评估

基本信息

批准号：
8272553
负责人：
James G Dolan
金额：
$ 17.19万
依托单位：
UNIVERSITY OF ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-06-01 至 2014-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8272553
关键词：
Address Advisory Committees Affect American Americas Area Aspirin Award Benefits and Risks Brain hemorrhage Cardiology Cardiovascular Diseases Cardiovascular system Caring Chemoprophylaxis Client satisfaction Clinical Clinical Decision Support Systems Clinical Investigator Clinical Research Clinical Research Curriculum Award Communication Communities Complex Coronary Arteriosclerosis Coronary heart disease Decision Aid Decision Analysis Decision Making Decision Modeling Decision Support Systems Decision Theory Development Doctor of Philosophy Educational process of instructing Elements Enrollment Ensure Environment Evaluation Event Family Fostering Future Generations Genomics Goals Habits Health Health Personnel Health Status Healthcare Healthcare Systems Hemorrhage Individual Institute of Medicine (U.S.)Institution Institutional National Research Service Award Instruction Intervention Judgment Knowledge Lead Lipids Medical Medicine Mentors Metabolic Methods Mind Modeling Nursing Faculty Outcome Patient Care Patient Preferences Patient-Centered Care Patients Performance Pharmaceutical Preparations Postdoctoral Fellow Preventive Primary Prevention Principal Investigator Process Prophylactic treatment Proteomics Provider Recommendation Relative Risks Reliability of Results Reporting Research Research Activity Research Personnel Risk SECTM1 gene Science Series Services Structure Students System Techniques Testing Time Training Translational Research Translations Uncertainty Universities Variant Vision Work abstracting base career career development clinical decision-making clinical practice colorectal cancer screening comparative cost cost effectiveness design evidence base experience gastrointestinal health care quality improved insight interest knowledge base meetings mortality patient oriented patient oriented research pre-doctoral preference programs response skills theories tool

项目摘要

DESCRIPTION (provided by applicant): Dr. James Dolan's primary research interest is medical decision making, with a special interest in the use of multi-criteria decision making methods to support clinical decisions. His research to date has demonstrated that a multi-criteria method called the Analytic Hierarchy Process (AHP) can be used to help understand and support clinical decision making, assess patient and provider preferences, uncover areas where preferences vary, and provide insight into why variations in recommended practices occur. The AHP, however, is only one of several well-established multi-criteria methods. His immediate career goals are: a) to explore the relationship between ease of implementation and the theoretic rigor of multi-criteria analysis to support clinical decision making; b) to introduce a new generation of beginning clinical investigators to patient-oriented research into clinical decision-making and decision support; and c) to develop additional mentoring skills. His long term research goals are: a) to lead a research group based at the University of Rochester devoted to the development, testing, and implementation of patient-oriented clinical decision support systems that will improve the quality of clinical decision-making and promote the effective translation of clinical research findings into practice; b) to encourage and support similar research activities at other institutions, nationally and internationally; and c) to develop a vibrant research community consisting of beginning and experienced investigators interested in using decision science, especially multi- criteria decision making, to support clinical decision making and promote the effective and efficient translation of clinical research findings into clinical practice. Mentoring activities will consist of active engagement in the teaching and guidance provided to students enrolled in the University of Rochester's programs for beginning clinical researchers which include a K30 program for beginning clinical investigators, a post-doctoral T32 training award in preventive cardiology, a Predoctoral (T32) program in clinical/translational research, a K12 mentored career development program for fellows and junior clinical faculty, and a PhD program in Translational Biomedical science. The research component of this program will compare the extent to which differences among three multi-criteria methods that vary in ease of use and methodologic rigor affect the results of analyses performed by patients, the time and effort required, the accuracy and reliability of the results, and decision support for decisions regarding aspirin and lipid- lowering therapy for primary prophylaxis of cardiovascular disease. RELEVANCE (See instructions): Good clinical decision-making is an essential element of high quality health care. Decision support tools based on multi-criteria decision making methods represent a promising approach for developing a new generation of clinical decision support systems that can help clinical decision makers make better decisions in complex circumstances, improve communication between patients and providers, and promote the effective translation of new evidence into practice. (End of Abstract)

描述(申请人提供)：James Dolan博士的主要研究兴趣是医疗决策，特别是使用多标准决策方法来支持临床决策。到目前为止，他的研究已经证明，一种称为分析层次过程(AHP)的多标准方法可以用于帮助理解和支持临床决策，评估患者和提供者的偏好，发现偏好不同的领域，并洞察推荐实践发生变化的原因。然而，AHP只是几种成熟的多准则方法之一。他近期的职业目标是：(A)探索多标准分析的简便性与理论严谨性之间的关系，以支持临床决策；(B)将新一代初级临床研究人员引入以患者为中心的临床决策和决策支持研究；以及(C)发展更多的指导技能。他的长期研究目标是：a)领导罗切斯特大学的一个研究小组，致力于开发、测试和实施以患者为中心的临床决策支持系统，以提高临床决策的质量，并促进临床研究结果有效地转化为实践；b)鼓励和支持国内和国际其他机构的类似研究活动；c)发展一个充满活力的研究社区，由对使用决策科学，特别是多标准决策感兴趣的初学者和有经验的研究人员组成，以支持临床决策，并促进临床研究成果有效和高效地转化为临床实践。指导活动将包括积极参与为罗切斯特大学初学临床研究人员计划注册的学生提供的教学和指导，其中包括为初级临床研究人员提供的K30计划，预防心脏病学的博士后T32培训奖，临床/翻译研究的博士后(T32)计划，为研究员和初级临床教师提供的K12指导职业发展计划，以及翻译生物医学博士计划。该计划的研究部分将比较三种多标准方法之间的差异对患者进行的分析结果的影响程度，所需的时间和精力，结果的准确性和可靠性，以及对心血管疾病一级预防的阿司匹林和降脂治疗决策的决策支持。相关性(见说明)：良好的临床决策是高质量卫生保健的基本要素。基于多准则决策方法的决策支持工具是开发新一代临床决策支持系统的有效途径，可以帮助临床决策者在复杂的环境中做出更好的决策，改善患者与提供者之间的沟通，促进新证据的有效转化。(摘要结束)