Integrating pain-CBT into an mHealth analgesic support intervention for patients with chronic pain from advanced cancers

将疼痛 CBT 纳入 mHealth 镇痛支持干预中,治疗晚期癌症慢性疼痛患者

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Pain affects approximately two thirds of patients with advanced incurable cancers. Cognitive Behavioral Therapy for pain (pain-CBT) is an effective treatment for chronic pain from cancer. Unfortunately, pain-CBT in its traditional format (60-minute, in-person sessions) is often unrealistic for patients with advanced cancer. Behavioral treatments require substantial adaptation to meet advanced cancer patients’ real-life needs, and should ideally integrate with their pharmacotherapy (e.g. opioid) plans. Mobile health (mHealth) technology is a promising strategy to deliver and ultimately disseminate brief pain-CBT interventions to cancer patients. The goal of Dr. Azizoddin’s K08 proposal is to develop a novel mHealth application that integrates brief pain- CBT into an existing mHealth application designed to optimize opioid management for patients with chronic pain from advanced incurable cancers. Leveraging co-mentor’s app (R21-funded), Smartphone Technology to Alleviate Malignant Pain (STAMP) is a patient-facing smartphone app that facilitates daily symptom and opioid monitoring and delivers tailored pain education and advice. Following the NIH Stage Model for Behavioral Intervention Development (Stage:1A&1B), Dr. Azizoddin will create STAMP+CBT, a novel intervention that harmonizes psychological and medical support for advanced cancer pain. In AIM 1: the PI will develop and refine STAMP+CBT by adapting pain-CBT for brief mHealth delivery through a series of iterative qualitative interviews, and wireframe and user acceptability testing (AIM 1A). STAMP+CBT will be programmed and tested in a small pre-pilot with the target population to inform app refinements (AIM 1B). In AIM 2: 60 patients with chronic pain related to advanced cancer will be randomized to the app or usual care + digital cancer pain education for 6 weeks. Feasibility of the study will be determined by examining recruitment/retention rates and completion rates of app-delivered pain-CBT content. A subset of patients will complete qualitative debriefing interviews to inform final app refinements. Measures will explore anticipated primary (pain interference) and secondary pain outcomes to inform the design of a future (R01) efficacy trial of STAMP+CBT. Dr. Azizoddin’s research activities will be mentored by an interdisciplinary team of expert investigators in pain psychology (Robert Edwards, PhD), palliative care clinical trials (Andrea Enzinger, MD & James Tulsky, MD), cancer pain (Christine Miaskowski, PhD), and mobile health (Michael Businelle, PhD & Daniel Gundersen, PhD). This K08 proposal will allow Dr. Azizoddin to acquire training in: 1) adapting psychological pain interventions for cancer populations, 2) learning rigorous methods to develop/refine behavioral mHealth interventions, 3) conducting randomized clinical trials of behavioral interventions, and 4) conducting longitudinal analysis of momentary pain/psychological mHealth data. This training program and structured mentorship under the guidance of esteemed research faculty will provide Dr. Azizoddin with the support necessary to become a successful, independent investigator, specializing in effective and scalable behavioral treatments to improve cancer pain.
项目概要/摘要 大约三分之二的晚期不可治愈癌症患者受到疼痛的影响。 疼痛治疗(疼痛 CBT)是治疗癌症引起的慢性疼痛的有效方法。 它的传统形式(60 分钟、面对面的会议)对于晚期癌症患者来说通常是不现实的。 行为治疗需要大量适应才能满足晚期癌症患者的现实生活需求,并且 理想情况下,移动医疗 (mHealth) 技术应与其药物治疗(例如阿片类药物)计划相结合。 向癌症患者提供并最终传播简短的疼痛 CBT 干预措施的有希望的策略。 Azizoddin 博士的 K08 提案的目标是开发一种新颖的 mHealth 应用程序,该应用程序集成了简短的疼痛- CBT 融入现有的移动医疗应用程序,旨在优化慢性病患者的阿片类药物管理 利用共同导师的应用程序(R21 资助)、智能手机技术来缓解晚期不可治愈癌症带来的疼痛。 缓解恶性疼痛 (STAMP) 是一款面向患者的智能手机应用程序,可促进日常症状和阿片类药物的使用 遵循 NIH 行为阶段模型,监测并提供量身定制的疼痛教育和建议。 干预开发(阶段:1A&1B),Azizoddin 博士将创建 STAMP+CBT,这是一种新颖的干预措施, 协调晚期癌症疼痛的心理和医疗支持 在 AIM 1 中:PI 将发展和发展。 通过一系列迭代定性调整,将疼痛 CBT 用于短暂的移动医疗交付,从而完善 STAMP+CBT 将进行访谈、线框图和用户可接受性测试(AIM 1A)。 在小型预试点中与目标人群进行测试,以告知应用程序改进(AIM 1B):在 AIM 2 中:60 名患者。 与晚期癌症相关的慢性疼痛将被随机分配到应用程序或常规护理 + 数字癌症疼痛 为期 6 周的教育将通过检查招募/保留率来确定。 应用程序提供的疼痛 CBT 内容的完成率 一部分患者将完成定性汇报。 访谈以告知最终的应用程序改进,措施将探讨预期的主要(疼痛干扰)和 次要疼痛结果可为 Azizoddin 博士未来 (R01) 疗效试验的设计提供信息。 研究活动将由疼痛心理学专家研究人员组成的跨学科团队指导 (Robert Edwards 博士)、姑息治疗临床试验(Andrea Enzinger 医学博士和 James Tulsky 医学博士)、癌症疼痛 (Christine Miaskowski 博士)和移动健康(Michael Businelle 博士和 Daniel Gundersen 博士)。 该提案将使 Azizoddin 博士获得以下方面的培训:1)针对癌症采用心理疼痛干预措施 人群,2) 学习严格的方法来开发/完善行为移动健康干预措施,3) 进行 行为干预的随机临床试验,以及 4) 进行瞬时纵向分析 该培训计划和结构化指导是在以下人员的指导下进行的: 受人尊敬的研究人员将为阿齐佐丁博士提供必要的支持,使其成为一名成功的、 独立研究者,专门从事有效且可扩展的行为治疗以改善癌症疼痛。

项目成果

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Desiree R Azizoddin其他文献

Desiree R Azizoddin的其他文献

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{{ truncateString('Desiree R Azizoddin', 18)}}的其他基金

Integrating pain-CBT into an mHealth analgesic support intervention for patients with chronic pain from advanced cancers
将疼痛 CBT 纳入 mHealth 镇痛支持干预中,治疗晚期癌症慢性疼痛患者
  • 批准号:
    10349763
  • 财政年份:
    2022
  • 资助金额:
    $ 19.15万
  • 项目类别:
Leveraging mHealth to deliver integrated pain-CBT, opioid monitoring, and self-management support for advanced cancer patients coping with chronic pain
利用移动医疗为应对慢性疼痛的晚期癌症患者提供综合疼痛 CBT、阿片类药物监测和自我管理支持
  • 批准号:
    10609388
  • 财政年份:
    2022
  • 资助金额:
    $ 19.15万
  • 项目类别:
Leveraging mHealth to deliver integrated pain-CBT, opioid monitoring, and self-management support for advanced cancer patients coping with chronic pain
利用移动医疗为应对慢性疼痛的晚期癌症患者提供综合疼痛 CBT、阿片类药物监测和自我管理支持
  • 批准号:
    10286805
  • 财政年份:
    2022
  • 资助金额:
    $ 19.15万
  • 项目类别:
Admin Supplement: Integrating pain-CBT into an mHealth analgesic support intervention for patients with chronic pain from advanced cancers
管理补充:将疼痛 CBT 纳入 mHealth 镇痛支持干预中,以治疗晚期癌症引起的慢性疼痛
  • 批准号:
    10767398
  • 财政年份:
    2022
  • 资助金额:
    $ 19.15万
  • 项目类别:

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Integrating pain-CBT into an mHealth analgesic support intervention for patients with chronic pain from advanced cancers
将疼痛 CBT 纳入 mHealth 镇痛支持干预中,治疗晚期癌症慢性疼痛患者
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