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
• 负责人: Desiree R Azizoddin
• 金额: $ 19.13万
• 依托单位: UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10349763
• 关键词: Active Learning; Advanced Malignant Neoplasm; Advisory Committees; Affect; Algorithms; Analgesics; Attention; Award; Behavior; Behavior Therapy; Behavioral; Behavioral Model; Behavioral trial; Cancer Intervention; Cancer Patient; Cancer Survivor; Cellular Phone; Chronic Cancer Pain; Clinical Trials; Cognitive Therapy; Complement; Complication; Constipation; Coping Skills; Data Analytics; Development; Distress; Doctor of Philosophy; Ecological momentary assessment; Education; Emergency Situation; Exercise; Fatigue; Feasibility Studies; Funding; Future; Goals; Gold; Health Technology; Intervention; Intervention Studies; Interview; Knowledge; Learning; Life; Malignant - descriptor; Malignant Neoplasms; Measures; Medical; Medication Management; Mentors; Mentorship; Methods; Mission; Mobile Health Application; Monitor; Moods; Multimedia; Online Systems; Opioid; Pain; Pain intensity; Pain interference; Pain management; Palliative Care; Patients; Persons; Pharmaceutical Preparations; Pharmacology; Pharmacotherapy; Population; Preparation; Psychological Factors; Psychology; Quality of life; Randomized; Randomized Clinical Trials; Relaxation; Research; Research Activity; Research Personnel; Scientific Advances and Accomplishments; Secondary pain; Sedation procedure; Self Efficacy; Self Management; Self-Examination; Series; Service delivery model; Severities; Solid; Stress; Structure; Surveys; Symptoms; Target Populations; Technology; Testing; Time; Training; Training Programs; United States National Institutes of Health; Visit; Work; acceptability and feasibility; base; behavioral clinical trial; biopsychosocial; cancer pain; cancer therapy; chronic pain; chronic pain management; chronic pain patient; curative treatments; daily pain; design; digital healthcare; disability; effective therapy; efficacy study; efficacy trial; experience; faculty research; feasibility testing; health data; improved; longitudinal analysis; mHealth; mobile application; negative mood; non-cancer chronic pain; novel; opioid use; pain catastrophizing; pain outcome; pain relief; pain self-management; palliate; patient subsets; pilot trial; programs; psychoeducation; psychologic; recruit; retention rate; secondary outcome; side effect; skills training; smartphone Application; telehealth; therapy design; therapy development; treatment as usual; treatment duration; trial design

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.

项目摘要/摘要 疼痛影响大约三分之二的晚期无法治愈的癌症患者。认知行为 疼痛治疗（PAIN-CBT）是癌症慢性疼痛的有效治疗方法。不幸的是，pain-cbt in 它的传统格式（60分钟，面对面的课程）通常对于晚期癌症患者而言是不现实的。 行为治疗需要大量适应以满足晚期癌症患者的现实生活需求，并且 理想情况下应与他们的药物治疗（例如阿片类药物）计划融合。移动健康（MHealth）技术是 有希望的策略，最终向癌症患者提供短暂的疼痛CBT干预措施。 Azizoddin博士的K08提案的目的是开发一种新颖的MHealth应用程序，以整合简短的疼痛 - CBT进入现有的MHealth应用程序，旨在优化慢性患者的阿片类药物管理 晚期无法治愈的癌症的疼痛。利用Co-ensor的应用程序（R21资助），智能手机技术 减轻恶性疼痛（邮票）是一种面向患者的智能手机应用程序，可促进每日症状和阿片类药物 监测并提供量身定制的疼痛教育和建议。遵循行为的NIH阶段模型 干预开发（阶段：1A和1B），Azizizoddin博士将创建Stamp+CBT，这是一种新颖的干预措施 对晚期癌症疼痛的心理和医疗支持协调。在AIM 1中：PI将发展和 通过适应止痛-CBT来简短的MHealth通过一系列迭代定性，通过适应疼痛CBT来提炼邮票+CBT 访谈，线框和用户可接受性测试（AIM 1A）。邮票+CBT将进行编程，并 在目标人群的小型前小腿中进行测试，以告知应用程序改进（AIM 1B）。在目标2：60位患者中 与晚期癌症有关的慢性疼痛将随机分配到应用程序或通常的护理 +数字癌症疼痛 教育6周。研究的可行性将通过检查招聘/保留率和 应用程序止痛-CBT含量的完成率。一部分患者将完成定性汇报 采访以告知最终应用细化。措施将探索预期的主要（疼痛干扰）和 次要疼痛结果为邮票+CBT的未来（R01）效率试验的设计提供信息。 Azizoddin博士 研究活动将由疼痛心理学专家研究人员的跨学科团队考虑 （罗伯特·爱德华兹（Robert Edwards）博士），姑息治疗临床试验（Andrea Enzinger，MD和James Tulsky，MD），癌症疼痛 （Christine Miaskowski，博士）和移动健康（Michael Businelle，PhD和Daniel Gundersen，PhD）。这个K08 提案将允许Azizoddin博士获得以下培训：1）调整心理疼痛干预癌症 种群，2）学习制定/完善行为MHealth干预措施的严格方法，3）进行 行为干预措施的随机临床试验，以及4）进行短暂的纵向分析 疼痛/心理MHealth数据。该培训计划和结构化精神职位在 受人尊敬的研究学院将为Azizoddin博士提供成功的支持， 独立研究者，专门研究有效且可扩展的行为治疗以改善癌症疼痛。