Evidence map›Paper›PMID 36104743›Full record

ArticleOrphanet journal of rare diseases2022

Identifying project topics and requirements in a citizen science project in rare diseases: a participative study.

Michaela Neff, Holger Storf, Jessica Vasseur, Jörg Scheidt, Thomas Zerr, Andreas Khouri, Jannik Schaaf

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Michaela NeffInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany. michaelachristina.neff@kgu.de.ORCID 0000-0003-4286-7959
Holger StorfInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.
Jessica VasseurInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.
Jörg ScheidtInstitute for Information Systems, University of Applied Sciences Hof, Hof, Germany.
Thomas ZerrInstitute for Information Systems, University of Applied Sciences Hof, Hof, Germany.
Andreas KhouriInstitute for Information Systems, University of Applied Sciences Hof, Hof, Germany.
Jannik SchaafInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.
Goethe University Frankfurt · DEHof University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to their low prevalence (< 5 in 10,000), rare diseases are an important area of research, with the active participation of those affected being a key factor. In the Citizen Science project "SelEe" (Researching rare diseases in a citizen science approach), citizens collaborate with researchers using a digital application, developed as part of the project together with those affected, to answer research questions on rare diseases. The aim of this study was to define the rare diseases to be considered, the project topics and the initial requirements for the implementation in a digital application.

methodsTo address our research questions, we took several steps to engage citizens, especially those affected by rare diseases. This approach included the following methods: pre- and post-survey (questionnaire), two workshops with focus group discussion and a requirements analysis workshop (with user stories).

resultsIn the pre-survey, citizens suggested 45 different rare diseases and many different disease groups to be considered in the project. Two main project topics (A) "Patient-guided documentation and data collection" (20 votes) and (B) "Exchange of experience and networking" (13 votes) were identified as priorities in the workshops and ranked in the post-survey. The requirements workshop resulted in ten user stories and six initial requirements to be implemented in the digital application.

conclusionQualitative, citizen science research can be used to collectively identify stakeholder needs, project topics and requirements for a digital application in specific areas, such as rare diseases.

Indexed as

Citizen ScienceFocus GroupsHumansQualitative ResearchRare DiseasesSurveys and QuestionnairesCitizen sciencePatient scienceQualitative researchRare diseases

Identifiers

PMID36104743
PMCPMC9476337
OpenAlexW4295788601

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.