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，平均 50% 的老年人难以按处方服药，而药物治疗依从性差是美国价值 1000 亿美元的医疗保健问题。在药物依从性方面，老年人是一个需要研究的重要用户群体，至少有 4 个原因：1）他们比年轻人服用更多药物，并且依从性问题明显更多，2）这个国家的老年人数量正在迅速增长不断增加使他们成为最大的用户群体之一，3) 药物依从性是日常生活活动的关键活动，4) 由于与年龄相关的感官知觉、运动控制和认知能力下降，老年人有独特的需求。最近对药物依从性的全面审查指出，依从性差的主要因素是认知障碍，而药物治疗方案的复杂性是第二个因素。目前尚无药物治疗方案复杂程度的衡量标准或对服药能力的评估。信息的缺乏会导致决策不足并导致医疗保健状况不佳。第一阶段 SBIR 提案有 3 个主要目标。首先，开发一种计算机化测试——MeductionIQ 测试——该测试将可靠地识别老年人是否可能遇到认知困难，从而使他们面临药物依从性的风险。其次，开发药物复杂性度量来预测药物治疗方案复杂性、心理能力和药物管理支持性质之间的相互作用。第三，开发药物依从性优化算法，以最大限度地减少药物治疗的认知需求并最大限度地提高依从性。我们将开发一种用于药物依从性筛查的技术，因此在未来，随着患者用药方案复杂性的增加和/或认知功能的下降，MediationlQ 测试将成为辅助医疗保健管理的常规方法。此类筛查标准在 PCP 实践中很常见（例如，根据年龄和病史筛查乳腺癌或前列腺癌）。用药复杂度指标将为医疗保健专业人员提供与用药方案复杂性相关的预测规范，用药依从性优化算法将确定用药方案的修改如何提高用药依从性。