Summary of Findings Tables for Measurement Property Reviews: the Evolution and Application of Omeract's Summary of Measurement Properties (somp) Table

Dorcas Beaton,Maarten Boers,Clifton O Bingham,Lara J Maxwell,Philip G Conaghan,Shawna Grosskleg,Catherine Hofstetter,Beverley J Shea,Lee Simon,Peter Tugwell, George A Wells

Seminars in arthritis and rheumatism（2025）

Cited 0|Views4

Abstract

BACKGROUND:Literature reviews of measurement properties of an outcome measurement instrument are fast becoming the evidence base for making decisions about the suitability of the instrument for a given application. In our case at OMERACT it is the fitness of an instrument for inclusion in a Core Outcome Set. Transparency in the processes and decision making at each step are important to allow consumers of the literature review to have a clear understanding of the decision-making process. We used an iterative process between methodologists and users to develop a summary of measurement properties table (SOMP) as a knowledge translation tool to communicate what was done, what was found, and what recommendations can be made from it. This, in turn, would provide a readily accessible, summary of findings for those who may need this information to make informed decisions about the adequacy of evidence concerning a measurement instrument. METHODS:Working with key collaborators and end users, including patients, clinical trialists, clinicians, and methodologists across several disease areas, the information that is needed to be included in a SOMP was determined, and initial designs laid out. Users provided feedback and revisions, which were integrated while ensuring the core elements were also being communicated. RESULTS:Several features emerged for inclusion in the SOMP: the background context for the review, all the evidence that went into the review, what was done in the review process, and the decision made based on the review. The SOMP was designed to capture this in a single document. Working group feedback helped to improve overall understandability. CONCLUSIONS:The SOMP was designed to capture the body of evidence available on the measurement properties for a given instrument, and the processes used to come to a decision about its fit with the intended application. In our case whether it was of good enough quality for use in a Core Outcome Set to represent the domain of interest. The SOMP's iterative development within a multidisciplinary consensus-based organization has helped us develop a tool useful in transparent communication about methods and decision-making made in a given review.

Translated text

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：论文提出了一种迭代发展的总结测量属性表格（SOMP），用于透明化地传达测量工具的评估过程和决策，以帮助用户评估其在特定应用中的适用性，特别是在核心结果集的构建中。

【方法】：作者通过与关键合作者和终端用户，包括患者、临床试验者、临床医生和方法学家的合作，确定了SOMP所需包含的信息，并通过用户反馈进行设计迭代和改进。

【实验】：实验通过工作组的反馈对SOMP的设计进行优化，提高了其整体的易懂性，但论文中未提及具体的数据集名称和实验结果。