Evidence map›Paper›PMID 35478078›Full record

ArticleThe patient2022

Long COVID Citizen Scientists: Developing a Needs-Based Research Agenda by Persons Affected by Long COVID.

Sarah Ziegler, Alessia Raineri, Vasileios Nittas, Natalie Rangelov, Fabian Vollrath, Chantal Britt, Milo A Puhan

Open access · hybridAbstract read
In one paragraph

Article in The patient, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Community Engagement in Long Covid Research: Process, Evaluation and Recommendations From the Long COVID and Episodic Disability Study.Health expectations : an international journal of public participation in health care and health policy · 2025
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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

7 authors at 1 institution in 1 country.

Sarah ZieglerEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84 CH-8001, Zurich, Switzerland. sarah.ziegler@uzh.ch.ORCID 0000-0002-9907-5787
Alessia RaineriEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84 CH-8001, Zurich, Switzerland.
Vasileios NittasEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84 CH-8001, Zurich, Switzerland.
Natalie RangelovAltea Long COVID Network Association, Wallisellen, Switzerland.
Fabian VollrathAltea Long COVID Network Association, Wallisellen, Switzerland.
Chantal BrittLong Covid Schweiz, Bern, Switzerland.
Milo A PuhanEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84 CH-8001, Zurich, Switzerland.
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term health consequences following acute SARS-CoV-2 infection, referred to as post-COVID-19 condition or Long COVID, are increasing, with population-based prevalence estimates for adults at around 20%. Persons affected by Long COVID report various health problems, yet evidence to guide clinical decision making remains scarce.

objectiveThe present study aimed to identify Long COVID research priorities using a citizen science approach and solely considering the needs of those affected.

methodsThis citizen science study followed an iterative process of patient needs identification, evaluation and prioritisation. A Long COVID Citizen Science Board (21 persons with Long COVID, and seven with myalgic encephalomyelitis/chronic fatigue syndrome) and a Long COVID Working Group (25 persons with Long COVID, four patients with myalgic encephalomyelitis/chronic fatigue syndrome and one relative) were formed. The study included four activities: three remote meetings and one online survey. First, Board members identified the needs and research questions. Second, Working Group members and persons affected by Long COVID (241 respondents, 85.5% with Long COVID, 14.5% with myalgic encephalomyelitis/chronic fatigue syndrome and 7.1% relatives) evaluated the research questions on a 1-5 Likert scale using an online survey. Then the Board gave feedback on this evaluation. Finally, Board members set the priorities for research through voting and discussion.

resultsSixty-eight research questions were generated by the Board and categorised into four research domains (medicine, healthcare services, socioeconomics and burden of disease) and 14 subcategories. Their average importance ratings were moderate to high and varied from 3.41 (standard deviation = 1.16) for sex-specific diagnostics to 4.86 (standard deviation = 0.41) for medical questions on treatment. Five topics were prioritised: "treatment, rehabilitation and chronic care management", "availability of interfaces for treatment continuity", "availability of healthcare structures", "awareness and knowledge among professionals" and "prevalence of Long COVID in children and adolescents".

conclusionsTo our knowledge, this is the first study developing a citizen-driven, explicitly patient-centred research agenda with persons affected by Long COVID, setting it apart from existing multi-stakeholder efforts. The identified priorities could guide future research and funding allocation. Our methodology establishes a framework for citizen-driven research agendas, suitable for transfer to other diseases.

Indexed as

COVID-19Fatigue Syndrome, ChronicAdolescentAdultChildFemaleHumansMalePost-Acute COVID-19 SyndromeSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID35478078
PMCPMC9046008
OpenAlexW4225261917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.