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Measuring the Context of Healing in Chronic Pain Treatment (HEALpain)

2017年4月21日 更新者:Carol Greco、University of Pittsburgh

Measuring the Context of Healing: Using PROMIS in Chronic Pain Treatment

This project focuses on whether nonspecific factors as well as patient characteristics contribute to treatment outcome differences. The project uses assessment instruments, computerized adaptive tests (CATs), from the Patient-Reported Outcomes Measurement Information System (PROMIS®). The research team has recently developed and tested (using PROMIS methods) a set of instruments to assess non-specific factors in healing from the patient's perspective. These instruments, the Healing Encounters and Attitudes Lists (HEAL) assess the Patient-Provider Connection, Treatment Expectancy, views of the Healthcare Environment, Positive and Negative Attitudes, Spirituality, and Attitude toward Complementary and Alternative Medicine (CAM). HEAL CAT's, like other PROMIS CATs, are brief, easy to use and understand, and are designed to apply to a broad spectrum of treatments and health conditions. In this project, the investigators aim to 1) evaluate whether HEAL predicts chronic pain treatment outcomes, 2) examine heterogeneity of treatment effects based upon HEAL and PROMIS scores in integrative and conventional medicine settings, and 3) interview patients and their clinicians regarding the utility of HEAL, PROMIS and a Pain Log for enhancing communication. The investigators will administer HEAL CATs and other PROMIS CATs (depression, anxiety, sleep disturbance, fatigue and physical function) to 200 patients who are starting treatment for chronic pain in integrative medicine and conventional medicine settings. Follow-up assessments will be completed 2 and 4 months after baseline testing. The investigators will evaluate factors that may predict which patients judge themselves to be improved, the same, or worsened. Some of the possible factors that may contribute to improvement include HEAL scores, emotional distress, or the preference for CAM or conventional treatment. The investigators are also interested in learning whether patients find the assessments to be clear and useful. A subset of 50 patients and approximately 10 clinicians will complete interviews about the HEAL and PROMIS questions, and about the Pain Log developed by a patient advocacy group partner, the American Chronic Pain Association. By interviewing patients and their healthcare providers, the investigators hope to determine the clarity and acceptability of the HEAL and other assessments, and to learn whether HEAL and PROMIS summaries enhance patient-provider communication in the clinical partnership.

研究概览

地位

完全的

条件

研究类型

观察性的

注册 (实际的)

218

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • Pennsylvania
      • Pittsburgh、Pennsylvania、美国、15213
        • University of Pittsburgh Medical Center

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 及以上 (成人、年长者)

接受健康志愿者

有资格学习的性别

全部

取样方法

非概率样本

研究人群

Patients who have ongoing pain (> / = 3 months) who are beginning a treatment for their pain.

描述

Inclusion Criteria:

  • 18 years and older
  • able to read and understand English
  • able to answer questionnaires on a computer
  • starting a new treatment for chronic pain or having just started a new treatment within the past month
  • expecting to continue their course of treatment

Exclusion Criteria:

  • psychotic disorders
  • substance abuse by self report

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
Integrative Medicine (Complementary /Alternative)Group
Patients receiving chiropractic care, acupuncture, massage therapy, or meditation training for chronic pain
Conventional Medicine Group
Patients receiving conventional medicine care (physical therapy, medication management, injections, etc.) for chronic pain.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
PROMIS Pain Intensity
大体时间:6-8 weeks
PROMIS Pain Intensity is a three item scale measuring the severity of pain at its worst (past week), average (past week), and current level using a five-point Likert-type scale (i.e., no pain=1, mild=2, moderate=3, severe=4, very severe=5). Scores on the 3 items are summed to create a raw score, which can range from 3 to 15. The raw score is converted to a T-score metric in which 50 is the mean of the relevant reference population and 10 is the standard deviation (SD) of that population.(see http://www.healthmeasures.net/promis-scoring-manuals for details ).
6-8 weeks
PROMIS Pain Interference
大体时间:6-8 weeks
Computerized adaptive test measuring interference of pain in everyday functioning using five-point Likert-type scales with two types or response options (i.e., "not at all"=1, "a little bit"=2, "somewhat"=3, "quite a bit"=4, "very much"=5, and "never"=1, "rarely"=2, "sometimes"=3, "often"=4, "always"=5). Scores on the items are summed to create a raw score. The raw score is converted to a T-score metric in which 50 is the mean of the relevant reference population and 10 is the standard deviation (SD) of that population.(see http://www.healthmeasures.net for details of CAT administration and scoring).
6-8 weeks

次要结果测量

结果测量
措施说明
大体时间
Clinical Global Impression of Change (CGI)
大体时间:6-8 weeks
Patient's rating of current symptom level compared to baseline assessment using a five-point bipolar scale: Much better(2), Somewhat better(1), No change(0), Somewhat worse(-1), Much worse(-2)
6-8 weeks

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Carol M Greco, PhD、University of Pittsburgh

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2015年2月1日

初级完成 (实际的)

2016年12月1日

研究完成 (实际的)

2017年1月1日

研究注册日期

首次提交

2016年8月12日

首先提交符合 QC 标准的

2016年8月16日

首次发布 (估计)

2016年8月19日

研究记录更新

最后更新发布 (实际的)

2017年8月2日

上次提交的符合 QC 标准的更新

2017年4月21日

最后验证

2017年4月1日

更多信息

与本研究相关的术语

其他相关的 MeSH 术语

其他研究编号

  • ME-1402-10114

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

未定

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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