A review of Patient Reported Outcome Measures (PROMs) for characterizing Long COVID (LC)-merits, gaps, and recommendations.

IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Journal of Patient-Reported Outcomes Pub Date : 2024-08-26 DOI:10.1186/s41687-024-00773-1
Hammed Ejalonibu, Adelaide Amah, Alaa Aburub, Pawan Kumar, D E Frederick, Gary Groot
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Abstract

Background: Individuals may experience a range of symptoms after the clearance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This condition is termed long COVID (LC) or Post-COVID-19 condition (PCC). Despite the appreciable number of symptoms documented to date, one key challenge remains in the robust characterization of LC outcomes. This review aimed to assess the properties, identify gaps, and provide recommendations for relevant descriptive and evaluative Patient-Reported Outcome Measurement (PROM) instruments that can be used to comprehensively characterize LC.

Methods: To achieve this objective, we identified and reviewed descriptive and evaluative PROM instruments that have been developed and validated to date with people living with LC. Our review assessed their properties, identified gaps, and recommended PROMs suitable for characterizing LC. To ensure a comprehensive and robust characterization of LC, we next identified, reviewed, and selected (with the input of patient partners) PROMs associated with the most frequently reported LC symptoms. The evaluation criteria included psychometric evidence, mode of delivery, cost, and administration time.

Results: Traditional matrix mapping revealed Post-COVID Functional Status Scale (PCFS) as a choice instrument for capturing LC outcomes largely because of the comprehensive domains it covered, and the number of psychometric evidence reported in literatures. This instrument can be effectively paired with the Fatigue Severity Scale (FSS), Montreal Cognitive Assessment (MoCA), Patient Health Questionnaire (PHQ-9), Headache Impact Test (HIT), Pittsburgh Sleep Quality Index (PSQI), and DePaul Symptom Questionnaire (DSQ-PEM) to characterize fatigue, cognitive impairment, depression/anxiety, headache, sleeplessness, and post-exertional malaise respectively.

Conclusion: Our paper identified appropriate PROM instruments that can effectively capture the diverse impacts of LC. By utilizing these validated instruments, we can better understand and manage LC.

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用于描述长期慢性病毒性反应(LC)的患者报告结果测量法(PROM)综述--优点、差距和建议。
背景:严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)感染清除后,患者可能会出现一系列症状。这种症状被称为长COVID(LC)或后COVID-19症状(PCC)。尽管迄今为止记录的症状数量可观,但在对 LC 结果进行有力描述方面仍存在一个关键挑战。本综述旨在评估可用于全面描述 LC 特征的相关描述性和评价性患者报告结果测量(PROM)工具的特性、找出差距并提出建议:为了实现这一目标,我们确定并审查了迄今为止针对 LC 患者开发和验证的描述性和评价性 PROM 工具。我们对这些工具的特性进行了评估,找出了不足之处,并推荐了适用于描述 LC 特征的 PROM。为了确保对 LC 进行全面而有力的描述,我们接下来(根据患者伙伴的意见)确定、审查并选择了与最常报告的 LC 症状相关的 PROM。评估标准包括心理测量学证据、提供方式、成本和管理时间:结果:传统的矩阵图显示,Post-COVID 功能状态量表(PCFS)是捕捉 LC 结果的首选工具,这主要是因为它涵盖了全面的领域,并且在文献中报告了大量的心理测量证据。该工具可与疲劳严重程度量表(FSS)、蒙特利尔认知评估(MoCA)、患者健康问卷(PHQ-9)、头痛影响测试(HIT)、匹兹堡睡眠质量指数(PSQI)和德保尔症状问卷(DSQ-PEM)有效搭配,分别描述疲劳、认知障碍、抑郁/焦虑、头痛、失眠和劳累后不适的特征:我们的论文确定了适当的 PROM 工具,可有效捕捉 LC 的各种影响。通过使用这些经过验证的工具,我们可以更好地了解和管理慢性淋巴细胞白血病。
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来源期刊
Journal of Patient-Reported Outcomes
Journal of Patient-Reported Outcomes Health Professions-Health Information Management
CiteScore
3.80
自引率
7.40%
发文量
120
审稿时长
20 weeks
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