PROMIS-Based Assessment of Pelvic Pain

对于骨盆疼痛的评估存在多份问卷。需要一种测量系统 足够敏感，以识别具有这些症状、条件或有患 这些条件的发展简明扼要，为个人量身定做，易于系统地 实施。满足这些需求的系统可能会被临床医生接受并常规使用 家人。这样的测量系统应该：包括捕捉特定特定方面的独特方面的项目 疾病/治疗效果；跨越疾病连续体；考虑发展 不同年龄组之间的差异；并根据共同的衡量标准产生校准的分数。其中一个 解决这些测量问题的最灵活方法是开发基于 基于综合题库，这反过来又可以促进个性化计算机化自适应测试 (CAT)和缩写(例如，特定于年龄或内容)。 美国国立卫生研究院路线图患者报告结果测量信息系统(PROIS)正在开发中 HRQL题库适用于所有疾病人群。50尽管PROMIS很全面，但它并不 充分满足盆腔疼痛患者的需求。为了满足这一需求，我们建议开发和验证骨盆 疼痛题库(PPIB)。PPIB可以为有需要的患者提供及时转诊的手段，这可以 然后导致早期干预。PPIB银行将通过实现以下目标来发展： 目标1：为骨盆疼痛人群创建一个物品库。我们将通过审查 目前的文献，现有的措施，以及我们通过几个联邦资助建立的项目库 项目。为了确保内容的有效性，项目将由临床医生和患者严格审查 可能/将会增加，以确保池的全面性。目标2：发展题库(S)和 确定他们的心理测量学特性，a)评估PPIB项目库的基本单维度。 这一目标的结果将决定要开发的题库的数量；b)校准题库(S) 使用项目反应理论(IRT)模型。我们将评估项目/模型/人员匹配，比较项目 辨别力和图形信息在项目和量表两个级别上都起作用。此外，我们还将 通过估计不同项目之间的差异项目功能(DIP)来评估项目参数稳定性 全国代表性样本人群的人口学和临床情况，c)开发用户友好型 用于在临床环境中筛查患者的缩写。目标3：验证PPIB题库(S)在 与外部临床标准的关系；目标4：计算自我报告的盆腔疼痛状况的患病率。

Multiple questionnaires exist for the assessment of pelvic pain. There is a need for a measurement system that is sufficiently sensitive to identify persons with these symptoms, conditions, or at risk for the development of these conditions with a brief-yet-precise, tailored to the individual and easy system to implement. A system that meets these needs is likely to be accepted and routinely used by clinicians and families. Such a measurement system should: include items that capture the unique aspects of specific disease/treatment effects; across the disease continuum; take into account developmental differences among age groups; and produce scores calibrated onto a common metric. One of the most flexible approaches for addressing these measurement issues is to develop screening tools based upon a comprehensive item bank which in turn can facilitate individualized computerized adaptive testing (CAT) and short-forms (e.g., age- or content-specific). The NIH Roadmap Patient-Reported Outcomes Measurement Information System (PROMIS) is developing HRQL item banks applicable across disease populations.50 As comprehensive as the PROMIS is, it does not fully address the needs of pelvic pain patients. To fill this need we propose to develop and validate a pelvic pain item bank (PPIB). The PPIB can provide a means for timely referral for patients in need, which may then lead to early intervention. The PPIB bank will be developed via the completion of the following aims: Aim 1: Generate an item pool for the pelvic pain population. We will develop this item pool by reviewing the current literature, existing measures, and an item library that we have built via several federally-funded projects. Toward ensuring content validity, items will be rigorously reviewed by clinicians and patients items may/will be added to ensure the comprehensiveness of the pool. Aim 2: Develop item bank(s) and determine their psychometric properties, a) Evaluate the essential unidimensionality of the PPIB item pool. Results of this aim will determine the number of item banks to be developed; b) Calibrate the item bank(s) using item response theory (IRT) models. We will evaluate item/model/person fit, compare item discrimination power, and graph information function at both the item and scale levels. Additionally, we will assess the item parameter stability by estimating differential item functioning (DIP) across various demographic and clinical conditions in a nationally representative sample population, c) Develop userfriendly short-forms for screening patients in a clinical setting. Aim 3: Validate the PPIB item bank(s) in relation to external clinical criteria; Aim 4: Calculate Prevalence of self-reported pelvic pain conditions.