Feasibility of Crowdsourcing for Eliciting Patient Experiences of Chronic Pain

 描述(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体验和理解慢性疼痛的方式，以推进疼痛研究。我们将利用现有的NIH/NCCIH赠款(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。我们将探索在线众包参与者自我报告慢性疼痛的数据与CERC关于接受慢性疼痛临床护理的患者通过电话收集的数据之间的相似性。我们将分析个人的人口统计数据、慢性疼痛的经历以及疼痛和功能的结果衡量标准。具体地说，我们将比较以下方面的数据：a)他们经历的疼痛的持续时间；b)提供者的类型和使用的方式；c)他们是否认为这种慢性疼痛；d)他们如何定义慢性；他们如何描述TE从急性到慢性的转变；e)NIH下腰痛特别工作组对患者进行慢性分类的问题；以及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。编码的主题将使用评分者间的可靠性与在现有NIH/CERC研究中工作的专家编码者生成的主题进行比较。目标3：与CERC的数据相比，评估众包数据的效率和质量。我们对在线众包和CERC研究样本的成本(劳动力/激励)、时间、数据质量(文本数量、缺失数据)进行了定量比较。这项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人疼痛体验的科学，该方法承诺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.