| Literature DB >> 36104743 |
Michaela Neff1, Holger Storf2, Jessica Vasseur2, Jörg Scheidt3, Thomas Zerr3, Andreas Khouri3, Jannik Schaaf2.
Abstract
BACKGROUND: Due 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.Entities:
Keywords: Citizen science; Patient science; Qualitative research; Rare diseases
Mesh:
Year: 2022 PMID: 36104743 PMCID: PMC9476337 DOI: 10.1186/s13023-022-02514-3
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.303
Fig. 1Steps of the study's multi-step approach
Fig. 2Interactive word cloud—which project topics would you like to propose?
Experience and background of the participants (Q1- Q3)
| Item | Frequency |
|---|---|
| Affected persons and relatives | 68 |
| Students | 3 |
| Medical professionals | 3 |
| Interested citizens | 6 |
| Others | 6 |
| No response | 0 |
| Experience in the subject field of rare diseases | 42 |
| Scientific work | 18 |
| Statistics | 10 |
| Design and creation | 5 |
| Computer science | 5 |
| Citizen science | 4 |
| Others | 16 |
| No response | 10 |
| Being affected by an RD | 56 |
| Being relative of a affected person | 9 |
| Studies | 6 |
| Profession | 5 |
| Others | 3 |
Evaluation of stated RD expertise (free text)
| Evaluation of stated RD expertise | Frequency |
|---|---|
| Rare disease | 49 |
| Not a rare disease | 16 |
| Still unclear (unclear diagnostics) | 4 |
Fig. 3Results from category formation
Fig. 4Voting on topics in post-survey
Fig. 5Story cards of RD-affected persons
Requirements for the SelEe digital application
| No | Requirement | Description |
|---|---|---|
| 1 | Daily and retrospective data acquisition | Simple, accessible entry of daily updated data (e.g., health status, experiences, symptoms, medication) as well as retrospective data (e.g., laboratory results, doctor's letters) |
| 2 | Documentation of one or multiple symptom(s) | Possibility of documenting ≥ 1 symptom at regular intervals, using a configurable template that defines the parameter to be recorded |
| 3 | Visual representation of data | Graphical display of data (e.g., symptoms), e.g., as a representation of the long-term trend |
| 4 | Printout of documentation | Possibility to print the recorded documentation as a report |
| 5 | Export of data | Export of the collected data in various digital formats, preferably in a format that is easy to use for medical professionals |
| 6 | Support in recognizing correlations and patterns (together with medical professionals) | Possibility to recognize patterns and correlations in the symptoms, e.g., that one parameter always occurs at a certain time interval after another parameter. This should be enabled by a compact visual representation of the parameters e.g., by plotting parameters together over time. Interpretations should be possible by the RD-affected person together with medical professionals |