Screening for Medication IQ and Managing Medication

药物智商筛查和药物管理

• 批准号: 7054172
• 负责人: Anthony P Zuccolotto
• 金额: $ 12.98万
• 依托单位: PSYCHOLOGY SOFTWARE TOOLS, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-30 至 2008-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7054172
• 关键词: behavioral /social science research tag; chemotherapy; clinical research; cognition disorders; combination therapy; computer assisted diagnosis; computer assisted patient care; computer human interaction; computer program /software; computer system design /evaluation; dosage; ergonomics; geriatrics; human old age (65+); human subject; mental disorder diagnosis; psychological aspect of aging; psychological tests; psychometrics; slow release drug; therapy compliance; university student

DESCRIPTION (provided by applicant): Research suggests that, on average, 50% of older adults have difficulty taking medications as prescribed and poor adherence to pharmacological therapies is a $100 billion healthcare problem in the United States. Older adults are an important user group to study when it comes to medication adherence for at least 4 reasons: 1) they take more medications than their younger counterparts and have significantly more adherence problems, 2) the number of older adults in this country is rapidly increasing making them 1 of the largest user population, 3) medication adherence is a critical activity of daily living activities, 4) older adults have unique needs due to age-related declines in sensory-perceptual, movement control, and cognitive abilities. A recent comprehensive review of medication adherence noted that a primary factor identified with poor adherence was cognitive impairment, with complexity of the medication regimen a second factor. There is at present no scale of medication regime complexity or assessment of medication taking competence. This lack of information results in deficient decision making and contributes to poor healthcare. This Phase I SBIR proposal has 3 primary goals. First, to develop a computerized test-MedicationIQ test-that will reliably identify whether older individuals may be experiencing cognitive difficulties that place them at risk for medication adherence. Second, to develop a MedicationComplexityMetric to predict the interaction of medication regime complexity, mental competence and nature of medication administration support. Third, to develop Medication Compliance Optimization algorithms to minimize the cognitive demands of a medication regime and maximize adherence. We will develop a technology for medication compliance screening so in the future, as patients medication regime complexity increases and/or cognitive function declines, the MedicationlQ test will become routine to aid health care management. Such screening criteria are common in PCP practices (e.g., screens for breast or prostate cancer based on age and medical history). The MedicationComplexityMetric will provide the health care professional with predictive norms relating to the complexity of the medication regime and the Medication Compliance Optimization algorithms will identify how modifications in the medication regime might improve medication adherence.

描述（由申请人提供）：研究表明，在美国，有50％的老年人难以服用药物，对药理学疗法的依从性不佳是美国的1000亿美元医疗保健问题。老年人是至少有4个原因而在药物依从性方面进行研究的重要用户群体：1）他们服用的药物比年轻的药物多，并且存在更多的依从性问题，2）这个国家的老年人的数量正在迅速增加，使其1个最大的用户群体中的1个，3）药物粘附于日常生活中的重要活动，4）与年龄相关的运动，4）与年龄相关的运动，4）既有运动，4）是独特的。和认知能力。最近对药物依从性的全面综述指出，依从性差的主要因素是认知障碍，而药物方案的复杂性是第二个因素。目前没有药物制度复杂性或对药物服用能力的评估。缺乏信息会导致决策不足，并导致医疗保健不良。该阶段I SBIR提案有3个主要目标。首先，要开发计算机化测试方法测试 - 它将可靠地确定老年人是否可能遇到认知困难，以使他们处于药物依从性的危险中。其次，开发一种药物复制化，以预测药物制度复杂性，心理能力和药物给药支持性质的相互作用。第三，要开发药物合规优化算法以最大程度地减少药物制度的认知需求并最大化依从性。我们将开发一项用于药物合规性筛查的技术，因此将来，随着患者用药的复杂性提高和/或认知功能的下降，药物LecationLQ测试将成为有助于医疗保健管理的常规方法。这种筛查标准在PCP实践中很常见（例如，根据年龄和病史，乳腺癌或前列腺癌的筛查）。药物complexitymetric将为医疗保健专业人员提供与药物制度复杂性和药物合规优化算法有关的预测规范，将确定药物治疗方案中的修改如何改善药物的依从性。