Feasibility of Crowdsourcing for Eliciting Patient Experiences of Chronic Pain

众包获取慢性疼痛患者经历的可行性

• 批准号: 9089676
• 负责人: Ian Douglass Coulter
• 金额: $ 30.75万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9089676
• 关键词: Acute; Acute Pain; Adult; Advisory Committees; Back; Behavioral Sciences; Biological Sciences; Caring; Centers of Research Excellence; Chronic; Chronic low back pain; Clinical; Code; Complementary and alternative medicine; Data; Data Analyses; Data Collection; Data Quality; Feasibility Studies; Funding; Gold; Grant; Health; Health Policy; Health Services Research; Incentives; Individual; Institute of Medicine (U.S.); Internet; Interview; Investigation; Length; Logistics; Low Back Pain; Measures; Mechanics; Medical; Methods; Modality; Online Systems; Outcome Measure; Pain; Pain Research; Participant; Patient Self-Report; Patient-Centered Care; Patients; Persons; Prevalence; Process; Productivity; Provider; Recruitment Activity; Reporting; Research; Resources; Sampling; Sampling Studies; Science; Services; Source; Surveys; System; Telephone; Testing; Text; Time; United States National Institutes of Health; Work; behavioral health; chronic pain; clinical care; comparative; cost; crowdsourcing; demographics; disability; experience; indexing; information gathering; innovation; online community; public health relevance; tool

 DESCRIPTION (provided by applicant): The proposed study aims to advance the study of pain research by exploring feasibility of the crowdsourcing approach for eliciting and analyzing the way in which individuals experience and understand chronic pain. We will leverage an existing NIH/NCCIH grant (RAND Center of Excellence in Research on CAM; CERC) to conduct a feasibility study of new methods for gathering and analyzing data on chronic pain through three specific aims: Aim 1: Explore comparability and reliability of crowdsourced data to patient interview data. We will explore the similarity between data from the online crowdsourced participants who self-report chronic pain with data collected via telephone for the CERC study on patients receiving clinical care for chronic pain. We will analyze individual's demographics, experiences with chronic pain and outcomes measures on pain and function. Specifically, we will compare data on a) the length of pain they experienced; b) types of providers and modalities utilized; c) if they consider this chronic pain; d) how they define chronicity; how they describe te shift from acute to chronic; e) questions from the NIH Low Back Pain Task Force that categorize patients as chronic; and f) quantitative measures on pain and function. We will also draw subsamples of crowdsourced data to assess reliability. Aim 2: Develop and test a crowdsourcing approach for analyzing chronic pain definitions. We will ask the online participants to act as analysts and code qualitative texts that contain data on definitions of chronic pain that, were collected within Aim 1. The themes coded will be compared using inter-rater reliability to those generated by expert coders working within the existing NIH/CERC study. Aim 3: Assess efficiency and quality of crowdsourced data as compared to CERC data. We draw quantitative comparisons of cost (labor/incentives), time, data quality (amount of text, missing data) across online crowdsourced and CERC study samples. The proposed work will advance the science of eliciting individual pain experiences by determining feasibility replicability, and efficiency of an innovative online approach which promises alternatives to expensive and time consuming in-person methods.

 描述（由申请人提供）：拟议的研究旨在通过探索众包方法的可行性来引出和分析个人经历和理解慢性疼痛的方式，从而推进疼痛研究。我们将利用现有的 NIH/NCCIH 拨款（兰德公司 CAM 卓越研究中心；CERC）通过三个具体目标对收集和分析慢性疼痛数据的新方法进行可行性研究： 目标 1：探索众包数据与患者访谈数据的可比性和可靠性。我们将探讨在线众包参与者自我报告慢性疼痛的数据与通过电话收集的 CERC 研究患者接受慢性疼痛临床护理的数据之间的相似性。我们将分析个人的人口统计数据、慢性疼痛经历和结果测量。具体来说，我们将比较以下方面的数据：a) 他们经历的疼痛时间；b) 提供者的类型和使用的方式；c) 他们如何定义慢性疼痛；从急性到慢性； e) NIH 腰痛工作组提出的将患者归类为慢性的问题；以及 f) 我们还将定量抽取众包数据的子样本来评估目标 2：开发和测试用于分析的众包方法。我们将要求在线参与者充当分析师，并编写包含目标 1 中收集的慢性疼痛定义数据的定性文本。将使用评估者间的可靠性与专家生成的主题进行比较。编码员目标 3：与 CERC 数据相比，评估众包数据的效率和质量。我们对成本（劳动力/激励）、时间、数据质量（文本量、缺失数据）进行定量比较。拟议的工作将通过确定创新在线方法的可行性、可复制性和效率来推进引发个人疼痛体验的科学，该方法有望替代昂贵且耗时的面对面方法。