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Citizen Science in Human Medicine and the Use of Software-Systems: A Rapid Scoping Review

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Citizen science allows involving interested citizen in the entire research process in science. In the past, various citizen science projects have been performed in different research fields, especially in human medicine. We conducted a rapid scoping review to determine which citizen projects in human medicine already used software-based systems to engage citizens in the research process. Furthermore, we analysed which of the software-systems are publicly available, especially in the field of rare diseases, how citizens can participate using those tools and whether the usability was rated by the participants. To get insights for our project “SelEe (Seltene Erkrankungen bürgerwissenschaftlich erforschen)”, which is a citizen science project in rare diseases funded by the Federal Ministry of Education and Research (BMBF), we aimed to identify projects in this research area. We searched PubMed for articles between 2011 and 2021 and performed a title- and abstract screening, as well as a full-text screening. Finally, 12 studies were identified in different research areas like public health, genetic research and infectious diseases. We could not identify any study directly associated with rare diseases. None of the studies investigated usability of those systems. Furthermore, five publicly available citizen science software-systems were identified. Three of them are general systems that allow creating, operating, managing citizen science projects and including citizens in the research process. In further investigations, we will check and compare these systems, if they are appropriate for use in our SelEe-project.
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Citizen Science in Human Medicine and
the Use of Software-Systems: A Rapid
Scoping Review
Jannik SCHAAFa,1, Michaela NEFFa, Joerg SCHEIDTb, Michael STEGLICHb,
and Holger STORFa
a Medical Informatics Group, University Hospital Frankfurt,
Frankfurt, Germany
b
Institute of Information Systems, University of Applied Sciences Hof,
Hof, Germany
Abstract. Citizen science allows involving interested citizen in the entire research
process in science. In the past, various citizen science projects have been performed
in different research fields, especially in human medicine. We conducted a rapid
scoping review to determine which citizen projects in human medicine already used
software-based systems to engage citizens in the research process. Furthermore, we
analysed which of the software-systems are publicly available, especially in the field
of rare diseases, how citizens can participate using those tools and whether the
usability was rated by the participants. To get insights for our project “SelEe
(Seltene Erkrankungen bürgerwissenschaftlich erforschen)”, which is a citizen
science project in rare diseases funded by the Federal Ministry of Education and
Research (BMBF), we aimed to identify projects in this research area. We searched
PubMed for articles between 2011 and 2021 and performed a title- and abstract
screening, as well as a full-text screening. Finally, 12 studies were identified in
different research areas like public health, genetic research and infectious diseases.
We could not identify any study directly associated with rare diseases. None of the
studies investigated usability of those systems. Furthermore, five publicly available
citizen science software-systems were identified. Three of them are general systems
that allow creating, operating, managing citizen science projects and including
citizens in the research process. In further investigations, we will check and compare
these systems, if they are appropriate for use in our SelEe-project.
Keywords. Citizen Science, Scoping Review, Rare Diseases
1. Introduction
“Citizen science" projects allow citizens without any knowledge in sciences or the
scientific process to participate in scientific projects by formulating research questions,
performing observations and measurements, as well as evaluating and publishing data
[1]. In the last 20 years, citizen science has developed as an instrument that makes it
possible to involve citizens in improving scientific knowledge and goals. The use of
1
Corresponding Author, Jannik Schaaf, Medical Informatics Group, University Hospital Frankfurt,
Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; E-mail: jannik.schaaf@kgu.de
German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal
R. Röhrig et al. (Eds.)
© 2021 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms
of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
doi:10.3233/SHTI210557
172
citizen science is becoming increasingly popular and is not limited to any scientific field
[2]. Therefore, various examples of applications in human medicine are also available,
e.g. in the research of COVID-19 [3, 4, 5]. The growth of citizen science projects is also
supported by the increasing use of websites or mobile applications that allow citizens to
collectively contribute, analyse or publish results [6].
In Germany, the Federal Ministry of Education and Research (BMBF) is funding 15
different citizen science projects, starting in 2021. In this initiative, four projects are
being funded in the field of human medicine [4]. One of these projects is “SelEe: Seltene
Erkrankungen bürgerwissenschaftlich erforschen” (www.selee.de), with the aim of
including citizens in the research of rare diseases (RDs). Since only a small part of the
population is affected by RDs and knowledge about these diseases is often low, citizen
science projects are one possibility to improve research knowledge in this area [8, 9].
Within the SelEe-project, citizens from Germany will be involved in the entire research
process. They can actively shape the selection of RDs that should be studied in the project
and formulate research objectives. All data and information in the project will be
collected and made available via an online-based platform called “SelEe citizen science
platform”, in which citizens can participate.
Despite the overall increasing number of software-based systems like web-
applications and mobile-apps [10], we are not aware of any reviews about developments
and current systems used in the context of citizen science in human medicine. Therefore,
the objectives of this study were to perform a rapid scoping review to give interested
researchers in citizen science an overview of (1) which studies are available using
software-based systems in human medicine citizen science projects and if were in the
field of rare diseases. Furthermore, we investigated (2) which systems are available (e.g.
as open-source software) and (3) how citizens can participate using those tools.
Furthermore (4) it was of interest whether the usability of those systems were rated by
the citizens.
2. Methods
The reporting of this scoping review complies with PRISMA-ScR (Preferred Reporting
Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). We
considered 19 out of 22 PRISMA-ScR items. Two items were optional, another item,
which is about study-registration, was not considered, since the study was not registered
online [11]. We searched PubMed for peer-reviewed articles from March 07, 2011
through March 07, 2021. Keywords for the search were derived through an initial search
and authors’ experience. The result was a set of keywords including “citizen science”,
“software” and “rare diseases”, using MeSH-terms (Medical Subject Headings) and non-
MeSH terms. This results in a final search query, shown in Table 1.
Table 1. Final query of the entire search
(Citizen Science[MeSH Terms] AND Software [MeSH Terms])
OR (Citizen Science[MeSH Terms] AND Rare Diseases [MeSH Terms])
OR ((Citizen Science) AND Software)
OR ((Citizen Science) AND rare diseases)
In accordance to PRISMA-ScR, we performed two screening rounds to select
publications: a screening based on bibliographic data and a full-text screening. In the
first screening round, publications were included if they contained a peer-reviewed
J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems 173
article and/or conference proceedings written in English with an available abstract.
Publications were only included if a citizen science project in human medicine was
described where citizens could interact and participate in the project. Articles about other
sciences, e.g. ecology or animal biology, were excluded. The full-text publications were
screened where accessible, if the articles described the use of software-systems in the
citizen science project. In both screening rounds, the screening was performed by one
and compared by another author. To analyse and present the results (called data charting
in scoping reviews), we defined the following data items and linked them to our research
questions: “study/aim (1)”, “research area” (1), rare diseases (1), “software availability
(2)”, “software type (2)”, “citizen participation (3)” and “usability checked (4)”
3. Results
The search identified 85 articles in PubMed (shown in Figure 1). As there were no
duplicates, the 85 were used for title and abstract screening. In this context, 60 articles
were excluded and 25 were considered as further relevant. This number was further
reduced because full text was not accessible for 5 articles. After assessing the eligibility
of the remaining 20 articles, 8 articles were excluded because they did not describe a
software-system in the context of citizen science in human medicine. Therefore, 12
articles were identified for further analysis, as shown in Table 2.
Figure 1. PRISMA-ScR flow diagram
J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems174
Table 2. Results of the qualitative synthesis
Study/Aim Research
area
Citizen participation Usability
checked
Software
type
[3] Caputo et al.:
Monitor
perception of
mosquito
abundance and
nuisance in Italy
and beyon
d
Public
Health
ZanaMapp, a mobile app that
allows users to answer questions
about mosquito presence,
abundance and nuisance, as well
as geolocalization.
No Mobile
Application
[4] Ulahannan et
al.: Open data
visualization of
COVID-19
outbreak in
Kerala, India
Infectious
diseases
Citizen-provided, visualized,
distributed and interpreted data on
a COVID-19 web-platform:
https://team.covid19kerala.info/
No Web-
Application
[12] Hartshorne et
al.: Pushkin, an
open-source
platform for
designing and
conducting citizen
social sciences
projects
Citizen
science
software
Sharing experiments data, provide
personal feedback and discuss in
forums. Own script language for
behavioural experiments.
No Web
Application
[13] Vicens et al.:
Platform to assist
the deployment of
human
behavioural
experiments
Citizen
science
software
Collect decision of participants
while interacting with virtual real-
life situations in a computer-game.
No Web
Application
[14] Wang et al.:
Provision of a
citizen science
platform, where
projects can be
started and
managed
Citizen
science
software
The entry of citizen-based data is
supported by a meta-data model
approach to standardize the data
described.
No Web
Application
[15] Klepac et al.:
citizen science
experiment in UK
to study outbreaks
of pandemics
Infectious
diseases
Use of a smartphone app, which
records volunteers’ movements
and allows submitting self-
reported contacts.
No Mobile
Application
[16] Candido Dos
Reis et al.: Cell
Slider is a project,
where citizens can
score tumors
based on images
of breast cancer
Oncology Access to a web-platform
(http://www.cellslider.net/),
training of scoring tumors, scoring
of images based on closed
questionnaires.
No Web
Application
[17] Meakin et al.:
Segmentation of
anatomy from
medical images
through citize
n
Anatomy Citizens were recruited via social
media. They used an image dataset
and segmentation data which
includes images of magnetic
resonance imaging.
No Desktop
Software
[18] McGehee et
al.: Protein folding
via a visual
simulator used by
citizen
Genetic
research
Citizens can use the software
Polyfold to visually simulate the
distance-based protein folding
process without any knowledge in
protein biochemistry
No Desktop
Software
J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems 175
Study/Aim Research
area
Citizen participation Usability
checked
Software
type
[19] Kawrykow et
al.: To improve
multiple sequence
alignment through
citizen scientists
Genetic
research
Phylo is a web-based game that
allows citizen scientists to support
the multiple sequence alignments
in the research of genetic diseases.
No Web
Application
[20] Tuckett et al.:
Increase physical
activity in older
adults
Public health Citizens used a mobile web app
with the goal to geocode photos
and to create audio narratives of
their physical environment (e.g.
parks, playgrounds or crosswalks).
Citizens use the results to advocate
for improvements regarding
physical activity in their
community.
No Mobile
Application
[21] Sheats et al.:
Motivate residents
to use a mobile
app to assess and
advocate for
healthy food
environments
Public health Usage of a mobile app to collect
data (geocoded photos, audio
narratives) about aspects of their
environment that promote or
inhibit healthy nutrition. Citizens
use the results to advocate for
improvements regarding healthy
food in their community.
No Mobile
Application
4. Discussion
Our scoping review is the first to summarize the evidence of citizen science projects in
human medicine, where citizens can participate in the projects by using software-based
systems. Regarding to research question (1), we identified 12 relevant studies between
2011 and 2021. The results show that the studies are from different research areas.
However, several studies are available in the field of public health, genetic research and
infectious diseases [3, 4, 14, 18-21]. There were no studies available in the field of RD’s.
We identified “citizen science software” that are available for usage in citizen
science projects (research question 2), for example to administer projects or to involve
citizens [12-14]. These tools allow researchers of citizen science projects to create and
operate platforms for their project at an early stage. While the systems of Hartsthorne et
al. [12] and Vicens et al. [13] are open-source and thus individually expandable, Wang
et al. [14] only provides an online platform where their own citizen projects can be started.
In addition, there are two other studies that make their source code publicly available [4,
18]. In summary, only 5 of 12 software-systems are publicly available. The majority of
the studies (10 of 12) allow participation via mobile apps or web applications. Only two
systems are desktop software.
Regarding citizen participation in the studies (research question 3), it can be stated
that the identified projects allow different participation possibilities, from the creation of
one’s own research data to the active evaluation and discussion of the data. However,
this publication did not investigated how many citizens used the software and whether
research questions were able to be answered using those systems. For the SelEe project,
the existing systems must be checked for their applicability. These selection process will
take place together with the participating citizens. They will define requirements to those
systems and then it is checked whether the systems fit these requirements. In a next step,
J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems176
we will conduct a focus group in which the systems are presented and the participants
vote on which system will be used in the project.
Concerning research question 4, the studies identified in this review focus on the
evaluation of their research questions in their research area, but did not investigate the
acceptance by the user or usability of their tools. This may have an impact on the research
results created by citizens and should be investigated in further studies. However, there
are studies outside the medical environment available, which make clear, that the
inclusion of the user in an early stage of the project is necessary to increase success and
acceptance [22]. Therefore, a user-centred design approach could be a possibility to
allow the participation of citizen in the design of the software and not just in the research
process [23, 24]. Hence, we derive this user-centricity as an essential criterion in the
implementation for our SelEe-project.
4.1. Limitations
This work provides a broad overview of 12 software-systems to support the citizen
science process in the medical area. In other science domains, there could be further
suitable systems. Furthermore, not every system could be explained in detail. For
example, no further technical details were omitted. Nevertheless, future studies can use
this as a basis to carry out more detailed investigations, e.g. if data could be exported
into statistic software-systems. However, the data collection of this review was limited
to PubMed and not published literature was not covered. Additionally, the study selection
and data charting were only performed by one author, but results in any phase of the
study were approved by all authors. Furthermore, as mentioned above, we could not
identify any evidence of RDs projects in citizen science in this review. Due to the fact
that 5 articles were excluded because of missing full-text, this could have an impact on
the completeness of this review. In addition, we do not address the risk of bias. However,
the use of a high methodological standard with PRISMA-ScR could minimize a possible
bias across the study.
5. Conclusions
In this review, we summarized the literature of citizen science projects in human
medicine between 2011 and 2021. Our study provides insights of how citizens were
involved by using software-based systems and we identified software-systems in each
citizen science project to manage projects and involve citizens.
Declarations
Conflict of Interest: The authors declare that there is no conflict of interest.
Acknowledgement: This work was supported by the German Federal Ministry of
Education and Research (BMBF – FKZ 01BF2112A, 01BF2112B).
Author contributions: JAS and MN designed the review, formulated research questions
and performed study selection as well as data analysis. The results of this scoping review
J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems 177
were summarized and reported by JAS and reviewed by MN. JS, HS and MS revised the
article. The final manuscript was written by JAS and approved by all authors.
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J. Schaaf et al. / Citizen Science in Human Medicine and the Use of Software-Systems 179
... 'Researching rare diseases in a citizen science approach') is a joint CS project on RDs by the Institute for Information Systems at Hof University of Applied Sciences (iisys) and the Institute of Medical Informatics (IMI) at Goethe University Frankfurt. The project is funded by the Federal Ministry of Education and Research in Germany (BMBF) and supported by the Alliance of Chronic Diseases (ACHSE e.V.) [9,10]. In SelEe, scientists and citizens aim to investigate RDs together by collecting data using a digital application. ...
... According to our research and knowledge, we are not aware of any digital application that implements our project topic and offers the developed functionalities across several different RDs. Currently existing CS systems are placed in other fields of human medicine [10]. Regardless of the CS character, disease-specific apps can be found [35][36][37][38][39][40][41], apps and websites that refer people to health care providers [42,43], apps for sharing experiences and networking [44,45], a symptom checker [46], information and support apps for RD-affected persons [47,48]. ...
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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. Methods To 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). Results In 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. Conclusion Qualitative, 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.
... The project SelEe ('Researching rare diseases in a citizen science approach') is a citizen science project on RDs in Germany by the Institute for Information Systems at Hof University of Applied Sciences and the Institute of Medical Informatics at Goethe University Frankfurt. It is supported by the Alliance of Chronic Rare Diseases, representing the non-profit alliance of RD patient organizations in Germany [11]. In SelEe, citizens, especially patients, are involved in the project and determine the research questions and topics of the project from the beginning to support the data processing and provision of the research results in the further course of the project. ...
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Zusammenfassung Eine Erkrankung zählt in der Europäischen Union zu den Seltenen Erkrankungen (SE), wenn diese nicht mehr als 5 von 10.000 Menschen betrifft. Derzeit existiert mit mehr als 6000 SE eine sowohl große als auch heterogene Menge an unterschiedlichen Krankheitsbilder, die in ihrer Symptomatik komplex, vielschichtig und damit im medizinischen Alltag schwierig einzuordnen sind. Dies erschwert Diagnosefindung und Behandlung sowie das Auffinden eines passenden Ansprechpartners, da es nur wenige Experten für jede einzelne SE gibt. Der medizinische Versorgungsatlas für Seltene Erkrankungen www.se-atlas.de ermöglicht anhand von Erkrankungsnamen die Suche nach Versorgungseinrichtungen und Selbsthilfeorganisationen zu bestimmten SE und stellt die Suchergebnisse geografisch dar. Ebenso gibt er einen Überblick über alle deutschen Zentren für SE, die eine Anlaufstelle für betroffene Personen mit unklarer Diagnose darstellen. Der se-atlas dient als Kompass durch die heterogene Menge an Informationen über Versorgungseinrichtungen für SE und stellt niederschwellig Informationen für eine breite Nutzergruppe von Betroffenen bis hin zu Mitgliedern des medizinischen Versorgungsteams bereit.
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Background Rare Diseases (RDs) are difficult to diagnose. Clinical Decision Support Systems (CDSS) could support the diagnosis for RDs. The Medical Informatics in Research and Medicine (MIRACUM) consortium developed a CDSS for RDs based on distributed clinical data from eight German university hospitals. To support the diagnosis for difficult patient cases, the CDSS uses data from the different hospitals to perform a patient similarity analysis to obtain an indication of a diagnosis. To optimize our CDSS, we conducted a qualitative study to investigate usability and functionality of our designed CDSS. Methods We performed a Thinking Aloud Test (TA-Test) with RDs experts working in Rare Diseases Centers (RDCs) at MIRACUM locations which are specialized in diagnosis and treatment of RDs. An instruction sheet with tasks was prepared that the participants should perform with the CDSS during the study. The TA-Test was recorded on audio and video, whereas the resulting transcripts were analysed with a qualitative content analysis, as a ruled-guided fixed procedure to analyse text-based data. Furthermore, a questionnaire was handed out at the end of the study including the System Usability Scale (SUS). Results A total of eight experts from eight MIRACUM locations with an established RDC were included in the study. Results indicate that more detailed information about patients, such as descriptive attributes or findings, can help the system perform better. The system was rated positively in terms of functionality, such as functions that enable the user to obtain an overview of similar patients or medical history of a patient. However, there is a lack of transparency in the results of the CDSS patient similarity analysis. The study participants often stated that the system should present the user with an overview of exact symptoms, diagnosis, and other characteristics that define two patients as similar. In the usability section, the CDSS received a score of 73.21 points, which is ranked as good usability. Conclusions This qualitative study investigated the usability and functionality of a CDSS of RDs. Despite positive feedback about functionality of system, the CDSS still requires some revisions and improvement in transparency of the patient similarity analysis.
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