Feasibility of Crowdsourcing for Eliciting Patient Experiences of Chronic Pain

 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促进疼痛研究，以引发和分析个人体验和理解慢性疼痛的方式。我们将利用现有的NIH/NCCIH拨款（兰德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。我们将探讨来自在线众包参与者的数据之间的相似性，这些参与者自我报告慢性疼痛，通过电话收集的数据用于CERC研究接受慢性疼痛临床护理的患者。我们将分析个人的人口统计学，慢性疼痛的经验和疼痛和功能的结果措施。具体而言，我们将比较以下数据：a）他们经历的疼痛时间长度; B）使用的提供者类型和方式; c）他们是否认为这种慢性疼痛; d）他们如何定义慢性性;他们如何描述从急性到慢性的转变; e）NIH腰痛工作组将患者归类为慢性的问题; f）疼痛和功能的定量测量。我们还将抽取众包数据的子样本来评估可靠性。 目标2：开发和测试用于分析慢性疼痛定义的众包方法。我们将要求在线参与者充当分析师，并对包含目标1中收集的慢性疼痛定义数据的定性文本进行编码。将使用评分者间可靠性将编码的主题与现有NIH/CERC研究中的专家编码器生成的主题进行比较。 目标3：与CERC数据相比，评估众包数据的效率和质量。我们绘制了在线众包和CERC研究样本的成本（劳动力/激励），时间，数据质量（文本量，缺失数据）的定量比较。 拟议的工作将通过确定可行性、可复制性和创新在线方法的效率来推进引发个体疼痛体验的科学，该方法有望替代昂贵且耗时的面对面方法。

 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.