A Guide to Understanding and Analysing PROMs Scores in Wales.

IF 2.4 Q3 HEALTH CARE SCIENCES & SERVICES
Patient Related Outcome Measures Pub Date : 2026-05-27 eCollection Date: 2025-01-01 DOI:10.2147/PROM.S572978
Michal Pruski, Robert I Palmer, Tim Pickles, Kathleen L Withers
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引用次数: 0

Abstract

This perspective article outlines the recommendations for the analysis and presentation of data collected via patient-reported outcome measures (PROMs), to promote good practice across Wales. We do not present detailed instructions or repeat what can be easily found in statistics texts, but rather focus on the overall approach that should be adopted when dealing with such data. Throughout the article, we introduce the importance of patient-reported outcome data within the National Health Service (NHS) Wales. We then briefly describe how PROM questionnaires are validated. We then introduce the different data types and describe how PROM questionnaires are structured. Following this, we highlight how the way that patient-reported outcome data is collected can affect appropriate analysis and what should be kept in mind when comparing different items within a questionnaire. We then provide some recommendations as to how to present such data and how to go about choosing appropriate inferential statistics tests for further analysis. Finally, we go over some of the potential consequences of not analysing the data appropriately. Additionally, we also include a simplified version of these recommendations that can be shared with a wider audience.

理解和分析威尔士prom分数指南。
这篇观点文章概述了通过患者报告的结果测量(PROMs)收集的数据的分析和呈现的建议,以促进威尔士的良好做法。我们不提供详细的说明,也不重复统计学文本中容易找到的内容,而是侧重于处理此类数据时应采用的总体方法。在整篇文章中,我们介绍了威尔士国民健康服务(NHS)中患者报告的结果数据的重要性。然后我们简要地描述PROM问卷是如何被验证的。然后,我们介绍了不同的数据类型,并描述了PROM问卷的结构。在此之后,我们强调了收集患者报告的结果数据的方式如何影响适当的分析,以及在比较问卷中的不同项目时应该记住什么。然后,我们就如何呈现这些数据以及如何选择适当的推理统计检验进行进一步分析提供了一些建议。最后,我们将讨论未适当分析数据的一些潜在后果。此外,我们还包含了这些建议的简化版本,可以与更广泛的受众共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patient Related Outcome Measures
Patient Related Outcome Measures HEALTH CARE SCIENCES & SERVICES-
自引率
4.80%
发文量
27
审稿时长
16 weeks
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