Nursing Home Pain Management Algorithm Clinical Trial

疗养院疼痛管理算法临床试验

• 批准号: 7082866
• 负责人: MARY ERSEK
• 金额: $ 49.17万
• 依托单位: SWEDISH MEDICAL CENTER, FIRST HILL
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7082866
• 关键词: behavioral /social science research tag; clinical research; clinical trials; computer assisted medical decision making; computer system design /evaluation; functional ability; health education; human old age (65+); human subject; human therapy evaluation; longitudinal human study; nursing homes; nursing research; pain; patient oriented research; quality of life; self care

DESCRIPTION (provided by applicant): Pain assessment and management deficiencies in nursing homes (NHs) are well documented. Unrelieved pain in this setting results in poorer resident outcomes, including depression, decreased mobility, sleep disturbance, and impaired physical and social functioning. This randomized controlled trial will evaluate the efficacy of a pain management algorithm coupled with intense diffusion strategies in improving physical function and decreasing pain and depression among NH residents. Specific aims of the study are to: 1) Evaluate the effectiveness of a pain management algorithm (ALG) coupled with intense diffusion strategies, as compared with pain education (EDU) and weak diffusion strategies, in improving self-care, locomotion, and mobility, and decreasing pain and depression among NH residents; 2) Determine the extent to which adherence to the ALG and organizational factors are associated with changes in residents' self-care, locomotion, mobility, pain, and depression and the extent to which changes in these variables are associated with changes in outcomes; 3) Evaluate the persistence of changes in process and outcome variables at long-term follow-up and 4) Evaluate the relationships among behavioral problems (measured by the BEHAVE-AD) and discomfort (as measured by the DS-DAT) in severely cognitively impaired residents who are unable to provide self-report. The NH pain management algorithm is a series of decision-making tools that begin with regular, comprehensive pain assessment matched to residents' cognitive status and proceed through analgesic therapy appropriate to the character, severity, and pattern of pain. The algorithm is based on the investigators' earlier research and was adapted in collaboration with geriatric pain experts. Initial pilot testing demonstrated preliminary support for the effectiveness of the algorithm. Implementation of the algorithm will utilize a program that applies the principles of Roger's Diffusion of Innovations Theory. The implementation program emphasizes the education of NH staff in the use of the algorithm; practice in applying the algorithm to hypothetical and real case studies; establishment of NH pain teams comprised of opinion leaders who are experts in using the algorithm; and use of booster and supportive strategies to imbed the algorithm into everyday, ongoing pain management practices. The randomized controlled trial will involve 20 facilities, 10 ALG and 10 EDU. Facilities will be the unit of randomization, although clinical outcomes will be measured in individual residents within facilities. Clinical outcomes from 510 residents, 255 in each treatment arm, will be evaluated to determine the efficacy of the ALG. Findings from this study will assist NH staff to assess and treat pain effectively in cognitively intact and impaired residents. Long-term follow-up will establish the persistence of changes in clinical practice and resident outcomes.

描述(由申请人提供)：疗养院(NHS)的疼痛评估和管理缺陷被很好地记录下来。在这种情况下，疼痛得不到缓解会导致较差的居民结果，包括抑郁、行动不便、睡眠障碍以及身体和社会功能受损。这项随机对照试验将评估疼痛管理算法与密集扩散策略相结合在改善NH患者身体功能、减少疼痛和抑郁方面的效果。本研究的具体目的是：1)与疼痛教育(EDU)和弱扩散策略相比，评估疼痛管理算法(ALG)与密集扩散策略(EDU)和弱扩散策略相结合在改善NH居民的自理、运动和活动能力、减少疼痛和抑郁方面的有效性；2)确定对ALG的坚持程度和组织因素与居民自理、活动、活动、疼痛和抑郁的变化的关联程度，以及这些变量的变化与结果变化的关联程度；3)评估长期随访过程和结果变量变化的持续性；4)评估不能提供自我报告的严重认知受损居民的行为问题(用Behavior-AD测量)和不适(由DS-DAT测量)之间的关系。NH疼痛管理算法是一系列决策工具，从与居民认知状况相匹配的定期、全面的疼痛评估开始，然后进行适合疼痛特征、严重程度和模式的止痛治疗。该算法是基于研究人员的早期研究，并与老年疼痛专家合作进行了调整。初步的试点测试表明，该算法的有效性得到了初步支持。该算法的实现将利用一个应用罗杰的创新扩散理论原理的程序。实施计划强调对NH员工进行算法使用方面的教育；将算法应用于假想和真实案例研究的实践；建立由使用该算法的专家意见领袖组成的NH疼痛团队；以及使用助推器和支持性策略将该算法嵌入到日常的、持续的疼痛管理实践中。这项随机对照试验将涉及20个设施、10个ALG和10个EDU。设施将是随机单位，尽管临床结果将在设施内的个人居民中进行衡量。将对510名住院医生的临床结果进行评估，以确定ALG的疗效。这项研究的结果将有助于NH工作人员有效地评估和治疗认知完好和受损的居民的疼痛。长期随访将确定临床实践和住院结果变化的持续性。