Evidence map›Paper›PMID 39186150›Full record

ReviewJournal of patient-reported outcomes2024

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

Hammed Ejalonibu, Adelaide Amah, Alaa Aburub, Pawan Kumar, D E Frederick, Gary Groot

Abstract readReview
In one paragraph

Review in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. A Step Forward in Long COVID Research: Validating the Post-COVID Cognitive Impairment Scale.European journal of investigation in health, psychology and education · 2024
    Article
  6. Article
  7. The EQ-5D-5L and Minimal Important Change in Long COVID.Advances in rehabilitation science and practice
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hammed EjalonibuSaskatchewan Health Quality Council (HQC), Saskatoon, SK, Canada. hejalonibu@hqc.sk.ca.ORCID 0000-0002-9084-6434
Adelaide AmahSaskatchewan Center for Patient Oriented Research (SCPOR), University of Saskatchewan, Saskatoon, SK, Canada.
Alaa AburubSaskatchewan Health Quality Council (HQC), Saskatoon, SK, Canada.
Pawan KumarResearch Department, Saskatchewan Health Authority (SHA), Saskatoon, SK, Canada.
D E FrederickResearch Department, Saskatchewan Health Authority (SHA), Saskatoon, SK, Canada.
Gary GrootDepartment of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, SK, Canada. gary.groot@usask.ca.

Funding

Strategy for Patient-Oriented Research Strategy for Patient-Oriented Research
6 · The paper itself

Abstract

backgroundIndividuals 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.

methodsTo 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.

resultsTraditional 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.

conclusionOur 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.

Indexed as

COVID-19Patient Reported Outcome MeasuresPost-Acute COVID-19 SyndromeHumansPsychometricsQuality of LifeSARS-CoV-2Surveys and QuestionnairesHealth care utilizationLong COVID (LC)Merit matrixPatient Reported Outcome Measures (PROMs)Psychometric evidence

Identifiers

PMID39186150
PMCPMC11347522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.