Web-based lab to study the decision to use antidepressants for the elderly

基于网络的实验室研究老年人使用抗抑郁药的决定

• 批准号: 7255350
• 负责人: PETER J VEAZIE
• 金额: $ 21.51万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-17 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7255350
• 关键词: Academy; Address; American; Antidepressive Agents; Attitude; Characteristics; Client; Clinical; Cognitive; Collection; Computer software; Computers; Cues; Data Collection; Decision Making; Development; Dropout; Elderly; Family Physicians; Family Practice; Focus Groups; Future; Goals; Health; Healthcare; Human Resources; Internet; Intervention; Judgment; Knowledge; Laboratory Study; Measurement; Measures; Mediation; Mental Depression; Methods; Online Systems; Outcome; Patients; Phase; Physicians; Probability; Process; Psychology; Questionnaires; Race; Range; Rate; Reaction Time; Research; Respondent; Role; Sampling; Software Design; Specific qualifier value; Staging; Standards of Weights and Measures; Support of Research; Surveys; Testing; Translating; Uncertainty; Variant; base; clinically relevant; demographics; design; experience; geriatric depression; novel; programs; research study; response; software development; success; therapy development; time interval

DESCRIPTION (provided by applicant): The proposed project develops a web-based software application and survey containing both patient-case descriptions and questionnaire to facilitate research of patient race and the decision to use antidepressant treatment among the elderly. Results will direct further study and inform the development of interventions. The web-based application will be an online healthcare decision lab, supporting research for many years. The survey is essential to the ensuing research on patient race and antidepressant treatment. The project spans two years and has four specific aims. AIM 1 is software development: we design software that accurately measures response times, implements subliminal priming, and implements factorial surveys. The software also performs the standard tasks of governing the website and data collection. AIM 2 is develop a factorial representation of patient cases: we design patient cases as a factorial survey intended to vary in patient cues such that the probability of the treatment for depression spans the unit interval. The factorial survey is essential to the ensuing research. AIM 3 is develop physician questionnaire: we develop a questionnaire comprising questions regarding physician demographics, experience, and attitudes: the goal of this aim is to facilitate collection of physician information related to the decision to use AT, but keep the overall online survey to less than 40 minutes. AIM 4 is test overall feasibility: we test the online application of the survey to assure overall feasibility using a sample of family practice physicians. This is a test of all components including the sampling strategy and the web-based application. The goals of this test are a greater than 50% response rate and identification of physician characteristics that predict recruitment and dropout: essential information to the design of the subsequent study. Relevance: It is known that depression impacts the elderly, treatment differs by patient race, and physician decisions partially explain the disparity. It is not known why-a knowledge gap that must be filled to provide remedy. To know why, we must understand how patient race influences the decision-making of physicians at a cognitive level. The proposed project initiates a program that translates basic knowledge from psychology into clinically relevant research by developing the requisite methods and facility to answer the question of how patient race influences the decision to treat the elderly for depression. It is known that depression impacts the elderly, treatment differs by patient race, and physician decisions partially explain the disparity. It is not known why-a knowledge gap that must be filled to provide remedy. To know why, we must understand how patient race influences the decision-making of physicians at a cognitive level. The proposed project initiates a program that translates basic knowledge from psychology into clinically relevant research by developing the requisite methods and facility to answer the question of how patient race influences the decision to treat the elderly for depression.

描述（由申请人提供）：拟议项目开发一个基于网络的软件应用程序和调查，其中包含患者病例描述和调查问卷，以促进患者种族研究和老年人使用抗抑郁治疗的决定。结果将指导进一步的研究并为干预措施的制定提供信息。基于网络的应用程序将成为一个在线医疗保健决策实验室，支持多年的研究。这项调查对于随后的患者种族和抗抑郁治疗研究至关重要。该项目为期两年，有四个具体目标。 AIM 1 是软件开发：我们设计能够准确测量响应时间、实施潜意识启动并实施因子调查的软件。该软件还执行管理网站和数据收集的标准任务。目标 2 是开发患者病例的因子表示：我们将患者病例设计为因子调查，旨在改变患者线索，以便抑郁症治疗的概率跨越单位间隔。因子调查对于后续研究至关重要。目标 3 是制定医生调查问卷：我们制定一份调查问卷，其中包括有关医生人口统计、经验和态度的问题：该目标的目标是促进收集与使用 AT 的决定相关的医生信息，但将总体在线调查保持在较少的范围内。超过40分钟。 AIM 4 是测试总体可行性：我们使用家庭医生样本测试调查的在线应用，以确保总体可行性。这是对所有组件的测试，包括采样策略和基于 Web 的应用程序。该测试的目标是超过 50% 的响应率，并识别预测招募和退出的医生特征：后续研究设计的重要信息。相关性：众所周知，抑郁症会影响老年人，治疗方法因患者种族而异，医生的决定部分解释了这种差异。原因尚不清楚——必须填补知识空白才能提供补救措施。要知道其中的原因，我们必须了解患者种族如何在认知层面影响医生的决策。该项目启动了一项计划，通过开发必要的方法和设施，将心理学的基础知识转化为临床相关研究，以回答患者种族如何影响老年人抑郁症治疗决策的问题。众所周知，抑郁症会影响老年人，治疗方法因患者种族而异，医生的决定部分解释了这种差异。原因尚不清楚——必须填补知识空白才能提供补救措施。要知道其中的原因，我们必须了解患者种族如何在认知层面影响医生的决策。该项目启动了一项计划，通过开发必要的方法和设施，将心理学的基础知识转化为临床相关的研究，以回答患者种族如何影响老年人抑郁症治疗决策的问题。