Using Handheld Technology to Reduce Errors in ADHD Care

使用手持技术减少多动症护理中的错误

• 批准号: 6528339
• 负责人: PAULA LOZANO
• 金额: $ 28.48万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-26 至 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6528339
• 关键词: attention deficit disorder; clinical research; clinical trials; computer assisted medical decision making; computer human interaction; health care personnel performance; health service demonstration project; human subject; mental disorder chemotherapy; patient safety /medical error; personal computers; primary care physician

ADHD is one of the most common psychiatric conditions seen in pediatric practices, affecting 4-12% of children. Many children with ADHD currently receive inadequate assessment, inappropriate treatment, and/or insufficient follow-up care. As a result, practice variation is widespread for children with ADHD, and children with ADHD may have undiagnosed psychiatric comorbidities and inappropriate pharmacotherapy. This randomized controlled trial aims to achieve sustainable reductions in medical errors in the treatment of attention-deficit/hyperactivity disorder (ADHD), through the use of information delivered by a real-time point of care hand held computer decision support device (DS-ADHD). The extensive decision algorithms embedded in our system will allow providers to adapt ADHD treatment to the specific needs of their patient. We will randomize providers in 3 primary care practices to DS-ADHD or usual care. We hypothesize that DS-ADHD will result in reduced medical errors and increased patient satisfaction with ADHD care. Specifically, we hypothesize that use of the DS-ADHD will make providers less likely to miss comorbidities common among children with ADHD; will make patients more likely to have follow-up visits in accordance with established guidelines; will increase patient satisfaction with their ADHD care; and will increase provider satisfaction and confidence regarding ADHD treatment.

ADHD 是儿科实践中最常见的精神疾病之一，影响 4-12% 的儿童。许多患有多动症的儿童目前接受的评估不充分、治疗不适当和/或后续护理不足。因此，多动症儿童的实践差异很普遍，多动症儿童可能有未确诊的精神合并症和不适当的药物治疗。这项随机对照试验旨在通过使用实时护理点手持计算机决策支持设备 (DS-ADHD) 提供的信息，可持续减少注意力缺陷/多动障碍 (ADHD) 治疗中的医疗错误。 ）。我们系统中嵌入的广泛决策算法将使提供商能够根据患者的特定需求调整 ADHD 治疗。我们将 3 种初级保健实践中的提供者随机分为 DS-ADHD 或常规护理。我们假设 DS-ADHD 将减少医疗错误并提高患者对 ADHD 护理的满意度。具体来说，我们假设使用 DS-ADHD 将使提供者不太可能错过 ADHD 儿童中常见的合并症；将使患者更有可能按照既定指南进行随访；将提高患者对多动症护理的满意度；并将提高提供者对多动症治疗的满意度和信心。