Measuring Chronic Pain Impact

测量慢性疼痛的影响

基本信息

批准号：
10609108
负责人：
RONALD Dale HAYS
金额：
$ 16.85万
依托单位：
RAND CORPORATION
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-15 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10609108
关键词：
Address Administrative Supplement Anxiety Area Clinical Clinical Research Clinical effectiveness Collaborations Collection Complex Coupled Data Data Collection Data Sources Ensure Evaluation Factor Analysis Fatigue Frequencies Future General Population Goals Grant Health Individual Information Systems Intervention Libraries Measurement Measures Mental Depression Mental Health Monitor National Center for Complementary and Integrative Health Outcome Pain Pain interference Patient Outcomes Assessments Patients Performance Persons Physical Function Psychometrics Research Personnel Sleep disturbances Social Role-Participation Standardization Statistical Data Interpretation Surveys Treatment Effectiveness Work base behavioral health chronic pain clinical care clinical practice cognitive function cost effectiveness expectation health care delivery health care service individual patient interest parent grant patient-clinician communication physical conditioning preference response shared decision making sound theories

项目摘要

Summary/Abstract Collection of individual patient-reported outcome (PRO) data in clinical contexts is increasing and has been shown to enhance clinician-patient communication. It can be used to identify patient priorities and preferences, set treatment expectations, and support shared decision-making. At an aggregate level, PROs can be used to examine the clinical- and cost-effectiveness of treatments, measure and monitor quality, and optimize planning and delivery of healthcare services. The Patient-Reported Outcome Measurement Information System (PROMIS®) measures are attractive for use in clinical settings because of their psychometric soundness, straightforward interpretation, and standardized metrics normed to the general population. However, the existing PROMIS Profile measures are burdensome for routine clinical use, leading many to opt for shorter more limited measures within or outside the PROMIS library. Our overarching goal is to plan and conduct complex statistical analyses, including item response theory analyses to fill this gap by identifying a brief and psychometrically sound measure that future researcher can use to examine impacts of their interventions on whole person health outcomes that matter most to patients. Specifically, we propose to develop a Short PROMIS Profile measure (SPP) that can: 1) efficiently produce scores for eight health domains (i.e., physical function, pain interference, fatigue, sleep disturbance, depression, anxiety, social role participation, cognitive function); 2) generate physical and mental health summary scores; and 3) calculate the PROMIS preference (PROPr) score. Our approach includes ongoing input from invested stakeholders who will work closely with the study to ensure broad buy-in for the resulting SPP. Through our work on the parent grant, our study team has identified 50 unique PROMIS items for possible inclusion in the SPP and has access to a data source that includes responses to all candidate items. We will conduct analyses using the existing data and arrive at an optimal SPP through completion of the following specific aims: 1. Construct several candidate SPPs by identifying and combining optimally performing two-item sets for each of the 8 PROMIS domains being considered for inclusion in the SPP; 2. Reduce and refine the number of candidate measures based on: a) performance of general physical and mental health summary scores derived from factor analysis; and b) evaluation of candidate profile measures’ estimated PROPr scores; and 3. Select the final SPP specification in collaboration with the stakeholder group based on results from Aim 2. At the completion of these three aims we will have a robust SPP that can be included in the PROMIS library and made available for general use. The availability of this measure has the potential to significantly impact the frequency and usefulness of routine PRO data collection in clinical care and will also enable behavioral health researchers and clinical trialists to include a robust PROMIS scale in their surveys without excessive burden or loss in precision.

摘要/摘要在临床环境中收集个别患者报告的结果（PRO）数据正在增加，并且已经是证明可以增强临床患者的交流。它可用于确定患者的优先级和偏好，设定治疗期望，并支持共同的决策。总体上，专业人士可以用来检查治疗，测量和监控质量的临床和成本效益，并优化计划和提供医疗服务。患者报告的结果测量信息系统（PROMIS®）措施对于临床环境具有吸引力，因为它们的心理测量声音，直接解释，并标准化了对普通人群的规范。但是，现有的Promis概况测量值可用于常规临床使用，导致许多人选择较短 Promis库内或外部有更有限的措施。我们的总体目标是计划和进行复杂的统计分析，包括项目响应理论分析以填补这一空白，通过识别未来研究人员可以用来检查其影响的简短和心理良好的措施对整个人的健康结果的干预对患者最重要。具体来说，我们建议开发一个简短的Promis概况测量（SPP），该测量可以：1）有效产生八个健康的分数域（即身体机能，疼痛干扰，疲劳，睡眠障碍，抑郁，焦虑，社会角色参与，认知功能）； 2）产生身体和心理健康摘要分数； 3）计算 Promis偏好（Propr）得分。我们的方法包括投资利益相关者的持续投入，他们将与研究紧密合作，以确保对所得SPP的广泛购买。通过我们对父母赠款的工作，我们的学习团队已经确定了50个独特的宣传项目，以便将其纳入SPP，并可以使用数据源包括对所有候选项目的响应。我们将使用现有数据进行分析并通过完成以下特定目的到达最佳SPP：1。构建几个候选人 SPP通过识别和组合为8个Promis域中的每个域中的最佳执行两个项目集被考虑将其纳入SPP； 2。根据以下方式减少和完善候选措施的数量： a）从因素分析得出的一般身心健康摘要得分的表现；和b）评估候选人概况测量值的估计的Propr分数；和3。选择最终的SPP规范基于AIM 2的结果与利益相关者组的合作。在完成这三个目标时，我们将有一个可靠的SPP，可以包含在Promis库中并提供一般用途。此措施的可用性有可能显着影响常规的频率和实用性临床护理中的Pro数据收集，还将使行为健康研究人员和临床试验者能够在他们的调查中包括一个稳健的promis量表，而精确地燃烧或损失过多。

项目成果

期刊论文数量（22）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Classifying patients with non-specific chronic low back pain using the impact stratification score in an online convenience sample.

DOI：
10.1186/s12891-023-06848-2
发表时间：
2023-09-09
期刊：
BMC MUSCULOSKELETAL DISORDERS
影响因子：
2.3
作者：
Rodriguez, Anthony;Herman, Patricia M.;Slaughter, Mary E.;Edelen, Maria Orlando;Hays, Ron D.
通讯作者：
Hays, Ron D.

Longitudinal Associations of PROMIS-29 Anxiety and Depression Symptoms With Low Back Pain Impact in a Sample of U.S. Military Service Members.

PROMIS-29 焦虑和抑郁症状与美国军人样本中腰痛影响的纵向关联。

DOI：
10.1093/milmed/usab339
发表时间：
2023
期刊：
Military medicine
影响因子：
1.2
作者：
Dunbar,MichaelS;Rodriguez,Anthony;Edelen,MariaO;Hays,RonD;Coulter,IanD;Siconolfi,Daniel;Herman,PatriciaM
通讯作者：
Herman,PatriciaM

Definitions of Chronic Low Back Pain From a Scoping Review, and Analyses of Narratives and Self-Reported Health of Adults With Low Back Pain.

DOI：
10.1016/j.jpain.2022.10.012
发表时间：
2023-03
期刊：
JOURNAL OF PAIN
影响因子：
4
作者：
Herman, Patricia M.;Qureshi, Nabeel;Arick, Susan D.;Edelen, Maria O.;Hays, Ron D.;Rodriguez, Anthony;Weir, Rebecca L.;Coulter, Ian D.
通讯作者：
Coulter, Ian D.

Using Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function Scale and Emotional Distress Composite.