Next Article in Journal
Research on Biogas Yield from Macroalgae with Inoculants at Different Organic Loading Rates in a Three-Stage Bioreactor
Next Article in Special Issue
Patient Experiences and Perspectives of Their Decision-Making to Accept Lung Transplantation Referral: A Qualitative Study
Previous Article in Journal
Application of Pb Isotopes and REY Patterns in Tracing Heavy Metals in Farmland Soils from the Upper-Middle Area of Yangtze River
Previous Article in Special Issue
The Influence of Patient-Centered Communication on Children’s Anxiety and Use of Anesthesia for MR
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Community-Based Participatory Framework to Co-Develop Patient Education Materials (PEMs) for Rare Diseases: A Model Transferable across Diseases

by
Marta Falcão
1,2,
Mariateresa Allocca
2,3,4,
Ana Sofia Rodrigues
2,5,6,
Pedro Granjo
2,5,6,
Rita Francisco
2,5,6,7,
Carlota Pascoal
2,5,6,7,
Maria Grazia Rossi
8,
Dorinda Marques-da-Silva
2,9,
Salvador C. M. Magrinho
2,5,6,10,
Jaak Jaeken
2,11,
Larisa Aragon Castro
12,13,14,
Cláudia de Freitas
15,16,17,
Paula A. Videira
2,5,6,7,
Luísa de Andrés-Aguayo
18 and
Vanessa dos Reis Ferreira
2,5,6,7,*
1
Institute of Hygiene and Tropical Medicine (IHMT), NOVA University Lisbon, 1349-008 Lisbon, Portugal
2
CDG & Allies—Professionals and Patient Associations International Network (CDG & Allies—PPAIN), Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
3
Institute of Biomolecular Chemistry, National Research Council of Italy, 80078 Pozzuoli, Italy
4
Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy
5
UCIBIO, Department of Life Sciences, NOVA School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
6
Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, NOVA University Lisbon, 2819-516 Caparica, Portugal
7
Portuguese Association for Congenital Disorders of Glycosylation (CDG), Department of Life Sciences, School of Science and Technology, NOVA University Lisbon, 2819-516 Caparica, Portugal
8
IFILNOVA—Institute of Philosophy—Faculty of Social Sciences and Humanities, NOVA University of Lisbon, 1069-061 Lisbon, Portugal
9
ALiCE—Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
10
LAQV (Associate Lab for Green Chemistry)—Chemistry Department, NOVA School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
11
Centre of Metabolic Diseases, Department of Pediatrics, KU Leuven, 3000 Leuven, Belgium
12
Swiss Personalized Health Network (SPHN), 3001 Bern, Switzerland
13
EUPATI—European Patient’s Academy on Therapeutic Innovation, 3008 Bern, Switzerland
14
SNSF Swiss National Science Foundation, 3001 Bern, Switzerland
15
Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), 4050-600 Porto, Portugal
16
EPI Unit—Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal
17
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal
18
Center for Genomic Regulation (CRG), Barcelona Biomedical Research Park (PRBB), 08003 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(2), 968; https://doi.org/10.3390/ijerph20020968
Submission received: 23 November 2022 / Revised: 26 December 2022 / Accepted: 27 December 2022 / Published: 5 January 2023
(This article belongs to the Special Issue Research on Patient-Centered Care)

Abstract

:
At least 50% of chronic disease patients don’t follow their care plans, leading to lower health outcomes and higher medical costs. Providing Patient Education Materials (PEMs) to individuals living with a disease can help to overcome these problems. PEMs are especially beneficial for people suffering from multisystemic and underrecognized diseases, such as rare diseases. Congenital disorders of glycosylation (CDG) are ultra-rare diseases, where a need was identified for PEMs in plain language that can clearly explain complex information. Community involvement in the design of PEMs is extremely important for diseases whose needs are underserved, such as rare diseases; however, attempts to involve lay and professional stakeholders are lacking. This paper presents a community-based participatory framework to co-create PEMs for CDG, that is transferable to other diseases. A literature review and questionnaire were performed, and only four articles describing the development of PEMS for rare diseases have been found, which demonstrates a lack of standardized approaches. The framework and PEMs were co-developed with CDG families and will be crucial in increasing health literacy and empowering families. We will close a gap in the creation of PEMs for CDG by delivering these resources in lay language in several languages.

1. Background

The definition of health literacy emerged in the health sector with a narrow focus on reading and writing health materials, but it has been broadened to knowledge reflecting a more holistic health promotion approach, shifting away from an individual skill towards a community skill (Table S1—Supplementary Materials) [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28].
Health literacy is people’s ability to obtain, comprehend, and apply health information to make decisions with their healthcare provider about illness prevention and health promotion. This should lead to maintaining or improving quality of life [27].
Mancuso and colleagues have underlined that health literacy is a lifelong learning process with capacity, comprehension, and communication as central attributes, that affects not only individuals but also society (Figure S1—Supplementary Materials) [19].
Several health literacy models have been developed in recent years [29]. The European Health Literacy Consortium for the European Health Literacy Survey has created an Integrated Model of Health Literacy (IMHL). The IMHL represents the capabilities related to the process of retrieving, understanding, accessing, and applying information [27]. When these four competencies referring to health information processing are combined with the three levels of domains named healthcare, disease prevention, and health promotion, a matrix of 12 subdimensions of health literacy is produced (Supplementary Materials—Figure S1) [27]. The model can be used to develop and validate measurement tools, as well as to help create health literacy strengthening interventions [27]. However, only a few studies have developed measurement tools based on the IMHL [30,31].
Based on current data, establishing health literacy programs and monitoring methods is a priority. According to the Centers for Disease Control and Prevention (CDC) nearly nine out of ten adults face challenges in understanding how to proceed when their doctor, nurse, health administrator, pharmacist, or other healthcare professional presents complicated, verbal or written, health information [32]. Low health literacy is associated with poor and limited knowledge about medical conditions [33], less use of preventive health services [34,35], non-adherence to treatment plans and medical regimens [33], poor patient self-care [36,37,38], poorer outcomes [39], high healthcare costs, and increased risk of hospitalization and mortality [40].
Limited health literacy harms individuals’ health and well-being and costs money to the healthcare system, impacting the country’s financial health. Improving health literacy could prevent nearly 1 million hospital visits and save over $25 billion a year [32]. Low health literacy is a factor contributing to healthcare disparities [41] and social determinants of health [42]. Healthcare providers should consider health literacy a vital component when caring for people of any age, culture, education, or socioeconomic status [43].
To increase health literacy levels, different strategies and tools [44] have been developed, such as Patient Education Materials (PEMs), and various actions at the political level have been encouraged and/or implemented [45,46,47,48]. However, health literacy is not just the responsibility of individuals, policymakers, or healthcare professionals, it crosses multiple boundaries, professions, and sectors [30,49].
PEMs are a knowledge translation intervention for the dissemination of reliable clinical information (such as clinical practice guidelines or journal articles) [50]. They address prevalent health issues and commonly requested health topics. Materials should be adapted to the population’s reading and comprehension levels as well as to its cultural and ethnic diversity. Thus, PEMs are a potential means to explain important topics and are a vehicle to increase patient–doctor dialogue. Well-formulated and well-presented healthcare information increases health awareness, encourages self-care, and improves the effectiveness of clinical care [50].
More PEMs are being developed, although they don’t always correspond to diverse diseases and reading levels [45,47]. The PEMs assessment tool (PEMAT) was created and serves as a guide to help determine whether patients will be able to understand information and act accordingly [45].
People living with rare diseases and their families are among the most vulnerable population groups in terms of health literacy. With much less information about rare diseases, it is harder for parents, and even doctors, to get accurate information about the diagnosis, care, treatment, and family support [51]. The development of PEMs for rare diseases is hampered by difficulties accessing reliable, easy-to-understand information about the conditions, clinical practices, and patients’ needs. These constraints contribute to the scarcity of PEMs in the rare diseases field, which increases isolation and powerlessness, lowering the quality of life [51].
Congenital disorders of glycosylation (CDG) are rare metabolic diseases caused by genetic biosynthetic defects in glycosylation pathways. They are primarily complex, multisystem diseases. The CDG & Allies international network, in collaboration with the CDG community, identified a community need, revealing a widespread desire among families and professionals for lay language resources with clear and simpler ideas [52,53,54,55].
A people-centric framework or community-based framework is an important aspect in the development of inclusive and relevant PEMs. By involving not only professionals but also families in the development of new PEMs, it is possible to create resources directed to people’s needs, values, and preferences [53]. This methodology refers to the involvement of individuals living with CDG and/or families as active equal partners and whose insights and beliefs are continuously incorporated throughout the PEMs co-creation process [56,57].
However, there is a lack of standardized approaches to create educational materials for rare diseases like CDG and common diseases. This is supported by the conducted literature review and questionnaire [56]. Therefore, we developed a people-centric framework with the goal of creating digital and printed PEMs that will empower families by increasing their health literacy. From this framework, it was possible to create several resources in lay language translated into different languages in order to fill the lack of dispersion of educational materials available for the CDG community [57,58].

2. Materials and Methods

2.1. Assessing Families’ Information Needs: CDG Journey Mapping Questionnaire

The CDG Journey Mapping electronic questionnaire (e-questionnaire) has been performed as described previously by Francisco et al. [59]. This questionnaire seeks to understand the journey of the person who lives with CDG, from diagnosis to informational needs and healthcare/social support measures. This questionnaire has two versions but, in this study, we use exclusively the e-questionnaire version for CDG patients, family members, and caregivers (Figure 1) [59]. The finished CDG families’ version of the questionnaire had a total of 96 questions in different formats, namely multiple-choice, matrix, and open-ended questions. IP addresses were not saved to ensure respondents’ anonymity, and the logic functionality was used to guide respondents.
The ethics committee of the Faculty of Psychology, University of Lisbon, granted ethical approval for this study (reference 1.15/07/2021-22). All participants consented electronically.
From this questionnaire it was possible to extract information from topics related to the journey to get a diagnosis, as well as informational needs (from the time of diagnosis until the moment they answered the questionnaire). However, only pertinent questions to assess the CDG community’s needs for PEMs were chosen for this study.

2.2. Literature Search on Frameworks for the Development of PEMs

A literature review was conducted to understand the state of the art regarding the existence of established frameworks for the creation of PEMs in rare diseases. With that aim, an automated python search tool was used with a list of keywords using double and triple combinations of terms related to rare diseases, CDG, and PEMs to identify articles through the Medline database using PubMed as the search engine (Supplementary Materials—Table S2), as described by Brasil et al. [60]. Selection criteria were chosen to screen the extracted articles in order to focus on relevant literature for this study, obtain the most recently reported work, and eliminate irrelevant and unrelated work (Table 1). Following the aforementioned criteria, exclusion and inclusion criteria were carried out, as well as a comparison of the number of articles available describing the development of patient education materials for rare diseases versus other diseases.

2.3. Community-Based Framework to Develop Patient Education Materials

Set Up of a Community-Based Framework

To try to answer to the previously assessed needs a community-based framework was developed for Patient Education Materials.
CDG and Allies—Professionals and Patient Associations International Network (PPAIN) and the Portuguese Association for Congenital Disorders of Glycosylation (APCDG) offered educational resources (Supplementary Materials—Table S3). Each audience has a different learning style; these materials are designed in order to adapt to the needs and preferences of different individuals. Once a style is identified, several best formats for patient education materials should be made available (Supplementary Materials—Figure S2).
A community-based framework was generated to guide the creation of PEMs, by involving not only professionals but also the families in the development of new resources. This framework produces two different documents: infographics and summaries. These documents summarize highly complex information about a specific CDG in a concise and clear manner.
Figure 2 shows how PEMs were co-created in 8 phases.
  • Identification of the informational need
The co-creation process begins when a family or a medical professional requests information about signs and symptoms, prognosis, and/or clinical management of a specific CDG through different multi-channels (e.g., World CDG Organization Website, WhatsApp).
2.
Assembly of the team
Based on the requested information, a team is assembled consisting of: (1) a researcher and/or project manager in charge of managing the team, recruiting the team, and transferring the information among the different members, (2) a researcher or a student from life sciences responsible for researching and compiling the published information, (3) a researcher responsible for an initial revision, (4) a medical/scientific board to assess scientific and medical language, (5) a family living with that CDG to ensure understandability and provide their experience, if available, (6) a set of members from the CDG & Allies, to do a final revision, and (7) translators to Portuguese, Spanish, and Italian.
A total of 8 translators, 11 developers, 6 health professionals, and 19 CDG families worldwide (14 different nationalities) were involved in the co-creation of PEMs tailored to the needs of the community. These partners’ roles range from creators to reviewers (health professionals and families) and, finally, translators for various languages (Table 2).
3.
Scientific article identification, and data analysis and extraction
The identification of articles on different databases (OMIM, PubMed, GeneCards, MalaCards, LOVD3) is performed using a set of keywords (gene name, gene name-CDG); this allows an in-depth search of the existing bibliography about a CDG.
Identified articles are downloaded and an Excel document is filled with the main information: title of the paper, year, author, number of patients per report, country of origin of each patient (if available), types of mutations (variants), inheritance mode, diagnostic tests, clinical manifestations, management strategies, and treatments.
Information is extracted to write a summary and the content for an infographic. The first one is more extensive and detailed, and is directed to healthcare professionals and researchers. The second one uses simpler language and has more succinct and clear ideas, as it is directed to the general public, like families.
4.
Revision process
When the content for the infographic and summary are ready, a comprehensive revision process ensures that the final material is scientifically and medically accurate, and easy to understand for the general public.
Researchers from CDG & Allies review the summary and the content for the infographic, grammar, and sentence structure.
The next step is to send this first draft to the medical/scientific board for revision. The reviewer should ensure that the correct medical terminology has been used throughout the content for the infographic and summary. The second draft of the content for the infographic is sent to the family (if available) living with this type of CDG for a plain-language revision. Families must ensure that content is straightforward and understandable.
The content for the infographic and summary is submitted to a researcher who never saw the first draft for the last validation.
5.
Graphic design
A graphic designer originates an attractive and informative infographic using the previously validated content, and photographs from a person living with CDG. These photos are requested from the family participating in the revision process. When no family is available, an image from an article is used as inspiration. The core team validates the infographic’s design and content.
6.
Translation of the English infographics
Afterward translations are developed in Portuguese, Spanish, and Italian. The translations are reviewed by a health expert with fluency in the language translated.
7.
Communication campaigns
The infographics are used for a multi-channel educational and awareness campaign including social media, worldcdg.org, World CDG Magazine, CDG tailored events such as World Conference on CDG, and so forth.

3. Results

3.1. CDG Community Information Needs

A total of 174 CDG families and caregivers completed the e-questionnaire. Most CDG family respondents (86.6%) were relatives or family caregivers. The participants were spread globally, although most of them are located in the European continent (44.2%). In addition, 67.8% of the family members had at least a bachelor’s degree (Figure 3). In this study, which focused on informational accessibility and PEMs, 3 questions were chosen out of 96.
The majority of the respondents took 1 to 3 years (28.74%) to get a definitive diagnosis, followed by 7 to 12 months (18.4%), and 3 to 6 months (14.9%). At the time of diagnosis, most of the respondents (70.6%) stated a lack of understanding of the healthcare professional’s given information (58.0%—Partially Understood, 12.6%—Did not Understand), with a minor percentage of respondents having a complete understanding of the given information. Lack of information in their native language (32.8%) and difficulties accessing information in their country (29.9%) are the biggest challenges to accessing appropriate CDG information for families; 67.2% said specialized information for rare diseases is the largest challenge (Figure 4).

3.2. Existence of Frameworks for PEMs

We compared the number of articles available describing the development of patient education materials for rare diseases to other diseases in order to understand the state of the art in the development of PEMs and the creation of frameworks for PEMs (Figure 5). Compared to common diseases, rare diseases had fewer publications (in total 3).

3.3. Implementation of the Created Community-Centric Framework in CDG

The applied methodology has allowed the development of several infographics dedicated to different CDG types (Table 3), such as the one shown in Figure 6. By November 2022, 32 infographics had been created. Furthermore, four infographics are undergoing different phases of development (Table 3).
The 32 PEMs were and are being translated with accurate cultural adaptations by a group of native speakers composed mostly of health professionals and researchers from the CDG & Allies—PPAIN network team. Infographics are available in three distinct languages: Spanish, Portuguese, and Italian. Currently, all existing documents are available on the World CDG organization platform (https://worldcdg.org/ (accessed on 22 November 2022)).

4. Discussion

It is critical to create PEMs with a people-centric framework in order to improve community and clinical outcomes. In this study, we established a framework for PEMs and highlighted the CDG community’s informational need and the scarcity of pre-existing frameworks to develop PEMs for rare diseases.
Almost half of the respondents had to wait 1–3 years for a definitive diagnosis. This demonstrates a lack of awareness among healthcare professionals due to CDG being an ultra-rare disease associated with a high level of complexity and the plethora of signs, symptoms, and systems affected. This contributes to misdiagnosis and diagnostic delay [61,62]. It is also clear that patients and families have difficulty understanding the healthcare professionals at the time of diagnosis (70.6%). This can be explained by the previously mentioned arguments emphasizing the rarity and complexity of the disease. Therefore, due to their lack of familiarity with this group of ultra-rare diseases, the physician in charge of providing the diagnosis is unlikely to be able to translate the information in a way that the families can understand. Therefore, both results emphasize the need for the development of PEMs in lay-language which empowers both families and professionals. This is further supported by the fact that one of the major barriers is the lack of tailored specialized information on rare diseases, notably in easy-to-understand language, which is linked to the absence of research and available resources [63]. However, this information should be accessible to everyone in the vastest set of languages since families pointed out the lack of information in their native language as a barrier to accurate information (32.8%).
The creation of these educational materials should consider both families and professionals, for example by creating a framework that translates scientific jargon into lay language for clinical management guidelines that are essential resources for both healthcare professionals and families [59].
The conducted literature review showed that common diseases had more publications (n = 34) dedicated to frameworks that create PEMs, when compared with rare diseases (n = 3) [51,64,65]. This reveals that there is an overall lack of user-friendly information across all diseases, and it is an area with a significant growth potential in the upcoming years. In terms of information, regarding the three articles focusing on developing PEMs to improve family’s health knowledge, decision-making skills, and clinical outcomes, they all described a patient-centric framework for rare diseases, emphasizing the importance of the involvement of the community [51,64,65].
The delay in creating these resources denies families access to high quality resources, limiting their understanding of their rare disease and increasing their isolation and helplessness. To address this, some companies and research groups have devised several tools, based on artificial intelligence and advanced software, to quickly and cheaply develop materials in lay language. Additional research was carried out to assess the availability of these tools but there are no reports published yet (Supplementary Materials—Table S4 and Supplementary Materials Figure S3). However, through desk research SumMed was identified. This tool was created to assist patients and families navigate medical information and make educated decisions. SumMed is an application where people put their medical reports or some scientific article, and then the user receives an easy-to-understand summary after a few seconds [66]. The patient also receives information about the most credible sources regarding their problem. This resource is currently available in 60 languages. This tool will democratize medical information, make it accessible and understandable to patients, informal caregivers, and families. Ultimately, it can enable the overall creation of PEMs [66].
This article tries to overcome an identified unmet need across all diseases by describing a community-based participatory framework to co-develop educational resources for CDG in multiple languages. In total 32 infographics have been completed, 29 have been translated into Spanish, 30 into Italian, and 23 into Portuguese. Soon, more infographics will be developed and translated using this framework. Many other diseases can use and produce PEMs by replicating these community-based participatory frameworks.

4.1. Study Strengths and Limitations

The creation of a standardized method for producing PEMs for CDG in lay language is an innovative initiative. It requires a wide range of resources, including collaboration, funding, and countless hours of work. The dispersion of qualitative information, the need to compile it in simple but scientifically and medically correct language, and the demand for translations in several languages all contribute to the lengthy process of developing PEMs. Our framework relies on community involvement. The CDG community is willing to participate and co-create PEMs [53,67].
The development of PEMs as an approach to increasing health literacy should be an integrated model, involving a diverse range of stakeholders, including health professionals, non-governmental organizations, scientific researchers, pharmaceutical companies, and last but not least families. The various stakeholders will benefit among other things from faster diagnosis, improved understanding of the condition and improved communication between families and healthcare providers among others.
The designed framework’s adaptability and flexibility enable new adaptations for other diseases, especially for rare diseases where there are limited plain-language PEMs. PEM development for rare diseases has various hurdles, including a lack of researchers, health professionals, and families involved in the co-creation of PEMs, as well as limited funding. These challenges highlight the need for methodologies that standardize the creation of these resources while ensuring applicability to other rare disease communities [43].

4.2. Future Perspectives

Several resources were created based on the developed methodology and are currently available on the World CDG organization platform (https://worldcdg.org (accessed on 22 November 2022)), with a special section for plain-language PEMs. Since the CDG community is global and multilingual, increasing the number of languages into which the PEM resources are translated is a top priority. This is consistent with the findings of the CDG Journey Mapping questionnaire [52,53,59].
We will use the Patient Education Materials Assessment Tool, which is a systematic method for evaluating the understandability and feasibility of the materials [45], to ensure that the resources we create are clear and easy to understand. When validating infographics, this type of tool would allow professionals to eliminate variables such as the family’s pre-existing literacy level.
We also intend to assess the level of Health Literacy among the CDG community, using the HLS-EU-Q47, a 47-item multidimensional and comprehensive questionnaire that measures the health literacy level of the general population. This questionnaire was developed as part of the Consortium of the European Health Literacy Project (HLS-EU 2009–2012). It became the first comparative European Health Literacy Survey (HLS-EU) in 2011 [68,69,70].
Lastly, a modernization of the current format PEMs is also being considered, such as the development of podcasts and videos in order to ensure more diverse multi-channel educational campaigns.

5. Conclusions

PEMs empower families by allowing them to make decisions alongside their health professionals. We established a replicable health literacy community-based participatory framework to co-create PEMs. This concept could help other rare disease communities.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph20020968/s1, Table S1: Health literacy definitions evolution. Since its first use at a health education conference in 1974, the definition of health literacy has evolved as Frisch and colleagues point out [2,3]. After 1992 the use of health literacy has increased and the importance of health literacy for public health and healthcare is growing. The majority of research literature on health literacy has been published from 2005 onwards [4]. The wide range of health literacy definitions, the continued discussions on whether health literacy is an individual or system skill, if it is stagnant or dynamic, all contribute to the challenges of continued research, consistent measurement, and possible solutions to enhancing low health literacy. Figure S1: Combination of four competences referring to health information processing with the three levels of domains named healthcare, disease prevention, and health promotion yields a matrix of 12 subdimensions of health literacy. Table S2: Keywords list to search through the Medline database using PubMed as the search engine with a double and triple combination of terms related to rare diseases, CDG, and PEMs. Table S3: CDG and Allies—PPAIN and the Portuguese Association for CDG (APCDG), different types of educational materials. Figure S2: Overview of patient education materials: each audience has a learning styles and, once it is identified, several best formats for patient education materials are available: VARK Learning Styles (Cuevas, 2015: https://journals.sagepub.com/doi/full/10.1177/1477878515606621 (accessed on 22 November 2022)). Table S4: Keywords list to search through the Medline database using PubMed as the search engine with a double and triple combination of terms related to rare diseases, Internet platforms and translate scientific language. Figure S3: Flow diagram for the systematic review which included searches of databases. Only articles related to Internet platforms that translate scientific language developed for rare diseases were included. The PRISMA flow diagram was adapted from the study by Page et al. (Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Med. 2021, 18,e1003583.)

Author Contributions

V.d.R.F. was responsible for the conception of this study. M.F., M.A., A.S.R. and P.G. compiled, interpreted, and analysed the data. M.F., M.A., P.G. and A.S.R. generated the figures used in the main text. M.F. wrote the original draft of the manuscript. M.F., M.A. and P.G. contributed to the writing of the manuscript. M.F., M.A, P.G., A.S.R., R.F., C.P., M.G.R., D.M.-d.-S., L.d.A.-A., J.J., L.A.C., P.A.V., V.d.R.F., S.C.M.M. and C.d.F. revised and commented on the draft manuscript. M.F., P.G. and V.d.R.F. edited the draft manuscript. V.d.R.F. agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors have read and agreed to the published version of the manuscript.

Funding

Dorinda da Silva acknowledge the funding from LA/P/0045/2020 (ALiCE), UIDB/50020/2020 and UIDP/50020/2020 (LSRE-LCM), funded by national funds through FCT/MCTES (PIDDAC). Carlota Pascoal (SFRH/BD/138647/2018) acknowledge the funding from the Fundação para a Ciência e Tecnologia (FCT), Portugal. Pedro Granjo was supported by CDG & Allies funding. Cláudia de Freitas acknowledges funding from the Foundation for Science and Technology—FCT under the Unidade de Investigação em Epidemiologia—Instituto de Saúde Pública da Univer-sidade do Porto (EPIUnit) (Ref. UIDB/04750/2020), Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR) (LA/P/0064/2020), the individual contract grant DL57/2016/CP1336/CT0001. Maria Grazia Rossi acknowledge the funding from the Fundação para a Ciência e Tecnologia (FCT), Portugal, SFRH/BPD/115073/2016 and PTDC/FER-FIL/28278/2017.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Faculty of Psychology, University of Lisbon (18 July 2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data generated or analysed during this study are included in this published article (and its supplementary information files).

Acknowledgments

The authors are grateful to the Sci and Volunteer program from NOVA School of Science and Technology |FCT NOVA and CDG & Allies—Professionals and Patient Associations International Network (CDG & Allies—PPAIN) for their input. We also acknowledge all collaborators involved in the creation of PEMs, especially CDG families and professionals.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Parnell, T.A. Health Literacy: History, Definitions, and Models. Health Literacy in Nursing; Springer Publishing Company: Berlin, Germany, 2018. [Google Scholar]
  2. Frisch, A.L.; Camerini, L.; Diviani, N.; Schulz, P.J. Defining and measuring health literacy: How can we profit from other literacy domains? Health Promot Int. 2012, 27, 117–126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Robinson-Pant, A. Promoting Health and Literacy for Women’s Empowerment; UNESCO Institute for Lifelong Learning: Hamburg, Germany, 2016. [Google Scholar]
  4. Speros, C.; Aprn, D. Health literacy: Concept analysis. J. Adv. Nurs. 2005, 50, 633–640. [Google Scholar] [CrossRef] [PubMed]
  5. Nutbeam, D. Health Promotion Glossary. Health Promot. Int. 1998, 13, 349–364. [Google Scholar] [CrossRef]
  6. Bresolin, L.B. Health literacy: Report of the council on scientific affairs. JAMA 1999, 281, 552–557. [Google Scholar]
  7. Nutbeam, D. Health literacy as a public health goal: A challenge for contemporary health education and communication strategies into the 21st century. Health Promot. Int. 2006, 15, 259–267. [Google Scholar] [CrossRef] [Green Version]
  8. Institute of Medicine (US): Committee on Health Literacy. Health Literacy: A Prescription to End Confusion; Nielsen-Bohlman, L., Panzer, A.M., Kindig, D.A., Eds.; National Academies Press: Washington, DC, USA, 2004. [Google Scholar]
  9. Kickbusch, I.; Wait, S.; Maag, D. Navigating Health: The Role of Health Literacy; Alliance for Health and the Future International Longevity Centre-UK: London, UK, 2006. [Google Scholar]
  10. Zarcadoolas, C.; Pleasant, A.; Greer, D.S. Elaborating a definition of health literacy: A commentary. J. Health Commun. 2003, 8, 119–120. [Google Scholar] [CrossRef]
  11. Zarcadoolas, C.; Pleasant, A.; Greer, D.S. Understanding health literacy: An expanded model. Health Promot. Int. 2005, 20, 195–203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Zarcadoolas, C.; Pleasant, A.; Greer, D.S. Advancing Health Literacy: A Framework for Understanding and Action; John Wiley & Sons: Hoboken, NJ, USA, 2006. [Google Scholar]
  13. McCabe, J.A. An assignment for building an awareness of the intersection of health literacy and cultural competence skills. J. Med. Libr. Assoc. 2006, 94, 458–461. [Google Scholar] [PubMed]
  14. Paasche-Orlow, M.K.; Wolf, M.S. The causal pathways linking health literacy to health outcomes. Am. J. Health Behav. 2007, 31, S19–S26. [Google Scholar] [CrossRef] [PubMed]
  15. European Commission. Together for Health-A Strategic Approach for the EU 2008–2013. 2007. Available online: http://ec.europa.eu/health/ph_overview/strategy/health_strategy_en.htm (accessed on 22 November 2022).
  16. Bielefeld University. Programmes for Training on Research in Public Health for South Eastern Europe. Available online: https://biecoll.ub.uni-bielefeld.de/index.php/publichealth/article/view/450/545 (accessed on 22 November 2022).
  17. Irving, R.; Deborah, G.-E.; Canadian Public Health Association. Expert Panel on Health Literacy, Gibson Library Connections; A vision for a health literate Canada: Report of the Expert Panel on Health Literacy; Canadian Public Health Association: Ottawa, ON, Canada, 2008. [Google Scholar]
  18. Ishikawa, H.; Yano, E. Patient health literacy and participation in the health-care process. Health Expect. 2008, 11, 113–122. [Google Scholar] [CrossRef] [Green Version]
  19. Mancuso, J.M. Health literacy: A concept/dimensional analysis. Nurs. Health Sci. 2008, 10, 248–255. [Google Scholar] [CrossRef] [PubMed]
  20. Australian Bureau of Statistics. Adult Literacy and Life Skills Survey, Summary Results 2006. Available online: https://www.abs.gov.au/AUSSTATS/[email protected]/Lookup/4228.0Main+Features12006%20(Reissue) (accessed on 22 November 2022).
  21. Yost, K.J.; Webster, K.; Baker, D.W.; Choi, S.W.; Bode, R.K.; Hahn, E.A. Bilingual health literacy assessment using the Talking Touchscreen/la Pantalla Parlanchina: Development and pilot testing. Patient Educ. Couns. 2009, 75, 295–301. [Google Scholar] [CrossRef] [Green Version]
  22. Stocks, N.P.; Hill, C.L.; Gravier, S.; Kickbusch, L.; Beilby, J.J.; Wilson, D.H.; Adams, R.J. Health literacy—A new concept for general practice? Aust. Fam. Physician 2009, 38, 144–147. [Google Scholar]
  23. Adkins, N.R.; Corus, C. Health Literacy for Improved Health Outcomes: Effective Capital in the Marketplace. J. Consum. Aff. 2009, 43, 199–222. [Google Scholar] [CrossRef]
  24. Freedman, D.A.; Bess, K.D.; Tucker, H.A.; Boyd, D.L.; Tuchman, A.M.; Wallston, K.A. Public Health Literacy Defined. Am. J. Prev. Med. 2009, 36, 446–451. [Google Scholar] [CrossRef] [PubMed]
  25. Berkman, N.D.; Davis, T.C.; McCormack, L. Health literacy: What is it? J. Health Commun. 2010, 15, 9–19. [Google Scholar] [CrossRef]
  26. Rosenbaum, S. The Patient Protection and Affordable Care Act: Implications for Public Health Policy and Practice. Public Health Rep. 2011, 126, 130–135. [Google Scholar] [CrossRef] [Green Version]
  27. Sørensen, K.; Van den Broucke, S.; Fullam, J.; Doyle, G.; Pelikan, J.; Slonska, Z.; Brand, H.; (HLS-EU) Consortium Health Literacy Project European. Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health 2012, 12, 80. [Google Scholar] [CrossRef] [Green Version]
  28. Office of the Assistant Secretary for Health. Available online: https://health.gov/healthypeople/priority-areas/health-literacy-healthy-people-2030 (accessed on 22 November 2022).
  29. Poureslami, I.; Kopec, J.; Tregobov, N.; Shum, J.; Sawatzky, R.; Hohn, R.; FitzGerald, J.M. An Integrated Framework to Conceptualize and Develop the Vancouver Airways Health Literacy Tool (VAHLT). Int. J. Environ. Res. Public Health 2021, 18, 8646. [Google Scholar] [CrossRef]
  30. Kickbusch, I.; Pelikan, J.M.; Apfel, F.; Tsouros, A.D. Health Literacy: The Solid Facts; World Health Organization, Regional Office for Europe: Copenhagen, Denmark, 2013. [Google Scholar]
  31. Hou, W.-H.; Huang, Y.-J.; Lee, Y.; Chen, C.-T.; Lin, G.-H.; Hsieh, C.-L. Validation of the Integrated Model of Health Literacy in Patients with Breast Cancer. Cancer Nurs. 2018, 41, 498–505. [Google Scholar] [CrossRef]
  32. Centers for Disease Control and Prevention. Available online: https://www.cdc.gov/healthliteracy/shareinteract/TellOthers.html (accessed on 22 November 2022).
  33. Gazmararian, J.A.; Williams, M.V.; Peel, J.; Baker, D.W. Health literacy and knowledge of chronic disease. Patient Educ. Couns. 2003, 51, 267–275. [Google Scholar] [CrossRef] [PubMed]
  34. Bennett, I.M.; Chen, J.; Soroui, J.S.; White, S. The Contribution of Health Literacy to Disparities in Self-Rated Health Status and Preventive Health Behaviors in Older Adults. Ann. Fam. Med. 2009, 7, 204–211. [Google Scholar] [CrossRef]
  35. White, S.; Chen, J.; Atchison, R. Relationship of preventive health practices and health literacy: A national study. Am. J. Health Behav. 2007, 32, 227–242. [Google Scholar] [CrossRef]
  36. Paasche-Orlow, M.K.; Riekert, K.A.; Bilderback, A.; Chanmugam, A.; Hill, P.; Rand, C.S.; Brancati, F.L.; Krishnan, J.A. Tailored Education May Reduce Health Literacy Disparities in Asthma Self-Management. Am. J. Respir. Crit. Care Med. 2005, 172, 980–986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Davis, T.C.; Wolf, M.S.; Bass, P.F.; Thompson, J.A.; Tilson, H.H.; Neuberger, M.; Parker, R. Literacy and Misunderstanding Prescription Drug Labels. Ann. Intern. Med. 2006, 145, 887–894. [Google Scholar] [CrossRef] [PubMed]
  38. Murray, M.D.; Tu, W.; Wu, J.; Morrow, D.; Smith, F.; Brater, D.C. Factors Associated With Exacerbation of Heart Failure Include Treatment Adherence and Health Literacy Skills. Clin. Pharmacol. Ther. 2009, 85, 651–658. [Google Scholar] [CrossRef] [Green Version]
  39. Berkman, N.D.; Sheridan, S.L.; Donahue, K.E.; Halpern, D.J.; Crotty, K. Low Health Literacy and Health Outcomes: An Updated Sys-tematic Review. Ann. Intern. Med. 2011, 155, 97. [Google Scholar] [CrossRef]
  40. King, A. Poor health literacy: A ‘hidden’ risk factor. Nat. Rev. Cardiol. 2010, 7, 473–474. [Google Scholar] [CrossRef] [Green Version]
  41. Ohio University—College of Health Sciences and Professions. Available online: https://onlinemasters.ohio.edu/blog/how-to-improve-health-literacy/ (accessed on 22 November 2022).
  42. Fleary, S.A.; Ettienne, R. Social Disparities in Health Literacy in the United States. HLRP Health Lit. Res. Pract. 2019, 3, e47–e52. [Google Scholar] [CrossRef]
  43. Watson, J.C. Talking the Talk: Enhancing Clinical Ethics with Health Literacy Best Practices. HEC Forum 2019, 31, 177–199. [Google Scholar] [CrossRef]
  44. Agency for Healthcare Research and Quality. Health Literacy Improvement Tools. 2022. Available online: https://www.ahrq.gov/health-literacy/improve/index.html (accessed on 22 November 2022).
  45. Shoemaker, S.J.; Wolf, M.S.; Brach, C. Development of the Patient Education Materials Assessment Tool (PEMAT): A new measure of understandability and actionability for print and audiovisual patient information. Patient Educ. Couns. 2014, 96, 395–403. [Google Scholar] [CrossRef] [Green Version]
  46. WHO Regional Office for Europe. Regional Committee for Europe Draft WHO European Roadmap for Implementation of Health Literacy Initiatives through the Life Course; WHO Regional Office for Europe: Brussels, Belgium, 2019. [Google Scholar]
  47. Centers for Disease Control and Prevention. Simply Put A Guide for Creating Easy-to-Understand Materials; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2010.
  48. CDG World Organization. Available online: https://worldcdg.org/advocacy/empowerment-all (accessed on 22 November 2022).
  49. Sorensen, K. Health Literacy: A Neglected European Public Health Disparity. Ph.D. Thesis, Maastricht University, Maastricht, The Netherlands, November 2013. [Google Scholar] [CrossRef]
  50. Betschart, P.; Staubli, S.E.; Zumstein, V.; Babst, C.; Sauter, R.; Schmid, H.-P.; Abt, D. Improving Patient Education Materials: A Practical Algorithm from Development to Validation. Curr. Urol. 2019, 13, 64–69. [Google Scholar] [CrossRef] [PubMed]
  51. Badiu, C.; Bonomi, M.; Borshchevsky, I.; Cools, M.; Craen, M.; Ghervan, C.; Hauschild, M.; Hershkovitz, E.; Hrabovszky, E.; Juul, A.; et al. Developing and evaluating rare disease educational materials co-created by expert clinicians and patients: The paradigm of congenital hypogonadotropic hypogonadism. Orphanet J. Rare Dis. 2017, 12, 57. [Google Scholar] [CrossRef] [Green Version]
  52. Cardão, C.; Barros, L.; Francisco, R.; Silva, D.; Ferreira, V.R. Experiences of parents with children with congenital disorders of gly-cosylation: What can we learn from them? Disabil. Health J. 2021, 14, 101065. [Google Scholar] [CrossRef] [PubMed]
  53. de Freitas, C.; dos Reis, V.; Silva, S.; Videira, P.A.; Morava, E.; Jaeken, J. Public and patient involvement in needs assessment and social innovation: A people-centred approach to care and research for congenital disorders of glycosylation. BMC Health Serv. Res. 2017, 17, 682. [Google Scholar] [CrossRef] [Green Version]
  54. Marques-Da-Silva, D.; Ferreira, V.D.R.; Monticelli, M.; Janeiro, P.; Videira, P.A.; Witters, P.; Jaeken, J.; Cassiman, D. Liver involvement in congenital disorders of glycosylation (CDG). A systematic review of the literature. J. Inherit. Metab. Dis. 2017, 40, 195–207. [Google Scholar] [CrossRef] [PubMed]
  55. Francisco, R.; Pascoal, C.; Marques-da-Silva, D.; Morava, E.; Gole, G.A.; Coman, D.; Jaeken, J.; dos Reis Ferreira, V. Keeping an eye on congenital disorders of O-glycosylation: A systematic literature review. J. Inherit Metab. Dis. 2019, 42, 29–48. [Google Scholar] [CrossRef]
  56. Dorough, A.; Narendra, J.H.; Wilkie, C.; Hegde, A.; Swain, K.; Chang, E.H.; Oliver, T.; Flythe, J.E. Stakeholder-Guided Development of Dialysis Vascular Access Education Materials. Kidney360 2021, 2, 1115–1123. [Google Scholar] [CrossRef]
  57. Giguère, A.; Zomahoun, H.T.V.; Carmichael, P.-H.; Uwizeye, C.B.; Légaré, F.; Grimshaw, J.M.; Gagnon, M.-P.; Auguste, D.U.; Massougbodji, J. Printed educational materials: Effects on professional practice and healthcare outcomes. Cochrane Database Syst. Rev. 2020. [Google Scholar] [CrossRef]
  58. Grudniewicz, A.; Kealy, R.; Rodseth, R.N.; Hamid, J.; Rudoler, D.; Straus, S.E. What is the effectiveness of printed educational materials on primary care physician knowledge, behaviour, and patient outcomes: A systematic review and meta-analyses. Implement. Sci. 2015, 10, 164. [Google Scholar] [CrossRef] [Green Version]
  59. Francisco, R.; Alves, S.; Gomes, C.; Granjo, P.; Pascoal, C.; Brasil, S.; Neves, A.; Santos, I.; Miller, A.; Krasnewich, D.; et al. A Participatory Framework for Plain Language Clinical Management Guideline Development. Int. J. Environ. Res. Public Health 2022, 19, 13506. [Google Scholar] [CrossRef] [PubMed]
  60. Brasil, S.; Pascoal, C.; Francisco, R.; Ferreira, V.D.R.; Videira, P.A.; Valadão, G. Artificial intelligence (AI) in rare diseases: Is the future brighter? Genes 2019, 10, 978. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Walkowiak, D.; Domaradzki, J. Are rare diseases overlooked by medical education? Awareness of rare diseases among physicians in Poland: An explanatory study. Orphanet J. Rare Dis. 2021, 16, 400. [Google Scholar] [CrossRef] [PubMed]
  62. Zurynski, Y.; Gonzalez, A.; Deverell, M.; Phu, A.; Leonard, H.; Christodoulou, J.; Elliott, E. Rare disease: A national survey of paediatricians’ experiences and needs. BMJ Paediatr. Open 2017, 1, e000172. [Google Scholar] [CrossRef]
  63. Rare 2030. The Development and Market Launch of Orphan Drugs from 1980–2019: A Quantitative Analysis. Available online: https://download2.eurordis.org/rare2030/deliverables/D5.3%20R%26D%20and%20market%20launch%20of%20orphan%20drugs.pdf (accessed on 22 November 2022).
  64. Bruce, I.A.; Ezgü, F.S.; Kampmann, C.; Kenis, V.; Mackenzie, W.; Stevens, B.; Walker, R.; Hendriksz, C. Addressing the need for patient-friendly medical communications: Adaptation of the 2019 recommendations for the management of MPS VI and MPS IVA. Orphanet J. Rare Dis. 2022, 17, 91. [Google Scholar] [CrossRef]
  65. Zeltner, N.A.; Welsink-Karssies, M.M.; Landolt, M.A.; Bosshard-Bullinger, D.; Keller, F.; Bosch, A.M.; Groenendijk, M.; Grünert, S.C.; Karall, D.; Rettenbacher, B.; et al. Reducing complexity: Explaining inborn errors of metabolism and their treatment to children and adolescents. Orphanet J. Rare Dis. 2019, 14, 248. [Google Scholar] [CrossRef] [Green Version]
  66. Patient Innovation-Sharing Solutions, Improving Life. Available online: https://patient-innovation.com/post/4957?language=en (accessed on 22 November 2022).
  67. Francisco, R.; Pascoal, C.; Marques-Da-Silva, D.; Brasil, S.; Pimentel-Santos, F.M.; Altassan, R.; Jaeken, J.; Grosso, A.R.; Ferreira, V.D.R.; Videira, P.A. New Insights into Immunological Involvement in Congenital Disorders of Glycosylation (CDG) from a People-Centric Approach. J. Clin. Med. 2020, 9, 2092. [Google Scholar] [CrossRef]
  68. Arriaga, M.; Francisco, R.; Nogueira, P.; Oliveira, J.; Silva, C.; Câmara, G.; Sørensen, K.; Dietscher, C.; Costa, A. Health Literacy in Portugal: Results of the Health Literacy Population Survey Project 2019–2021. Int. J. Environ. Res. Public Health 2022, 19, 4225. [Google Scholar] [CrossRef]
  69. Marques-Da-Silva, D.; Francisco, R.; Ferreira, V.D.R.; Forbat, L.; Lagoa, R.; Videira, P.A.; Witters, P.; Jaeken, J.; Cassiman, D. An Electronic Questionnaire for Liver Assessment in Congenital Disorders of Glycosylation (LeQCDG): A Patient-Centered Study. JIMD Rep. 2019, 44, 55–64. [Google Scholar] [CrossRef]
  70. Garcia-Codina, O.; Juvinyà-Canal, D.; Amil-Bujan, P.; Bertran-Noguer, C.; Gonzàlez, S.J.S.; Masachs-Fatjo, E.; Santaeugènia, S.J.; Magrinyà-Rull, P.; Saltó-Cerezuela, E. Determinants of health literacy in the general population: Results of the Catalan health survey. BMC Public Health 2019, 19, 1112. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Schematic of the workflow that was used to develop the CDG Journey Mapping Questionnaire.
Figure 1. Schematic of the workflow that was used to develop the CDG Journey Mapping Questionnaire.
Ijerph 20 00968 g001
Figure 2. Community-based framework developed to guide the creation of PEMs.
Figure 2. Community-based framework developed to guide the creation of PEMs.
Ijerph 20 00968 g002
Figure 3. Socio-demographical characterization of the CDG Journey Mapping e-questionnaire respondents included in this study (CDG family members and caregivers). (A) Respondents’ relationship with CDG. (B) Geographical distribution of the respondents (per country of residence). (C) Family and caregivers’ academic qualifications.
Figure 3. Socio-demographical characterization of the CDG Journey Mapping e-questionnaire respondents included in this study (CDG family members and caregivers). (A) Respondents’ relationship with CDG. (B) Geographical distribution of the respondents (per country of residence). (C) Family and caregivers’ academic qualifications.
Ijerph 20 00968 g003
Figure 4. Overview of the answers submitted by the respondents included in this study (CDG family members and caregivers). (A) Family members and caregivers’ percentage response to the question ‘’Time to get definitive diagnosis’’. (B) Family members and caregivers’ percentage response to the question ‘’Time of diagnosis information understandability’’. (C) Family members and caregivers’ percentage response to the question ‘’The main barrier to access accurate information’’.
Figure 4. Overview of the answers submitted by the respondents included in this study (CDG family members and caregivers). (A) Family members and caregivers’ percentage response to the question ‘’Time to get definitive diagnosis’’. (B) Family members and caregivers’ percentage response to the question ‘’Time of diagnosis information understandability’’. (C) Family members and caregivers’ percentage response to the question ‘’The main barrier to access accurate information’’.
Ijerph 20 00968 g004
Figure 5. Flow diagram for the literature search which included searches of databases. Only articles related to PEMs developed for rare diseases were included. The PRISMA flow diagram was adapted from the study by Page et al. (Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Med. 2021, 18, e1003583.)
Figure 5. Flow diagram for the literature search which included searches of databases. Only articles related to PEMs developed for rare diseases were included. The PRISMA flow diagram was adapted from the study by Page et al. (Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Med. 2021, 18, e1003583.)
Ijerph 20 00968 g005
Figure 6. Example of an infographic dedicated to COG4 -CDG. To consult the overall infographics already available check at https://worldcdg.org/ (accessed on 22 November 2022).
Figure 6. Example of an infographic dedicated to COG4 -CDG. To consult the overall infographics already available check at https://worldcdg.org/ (accessed on 22 November 2022).
Ijerph 20 00968 g006
Table 1. Selection criteria used for the inclusion of articles of interest for this study.
Table 1. Selection criteria used for the inclusion of articles of interest for this study.
Inclusion CriteriaExclusion Criteria
Published after 2016Health literacy papers mainly focusing on patient clinical management
Written in EnglishReviews, open articles and similar articles, with the exception of those used for contextualization
Orphanet classification is used, and only rare diseases with orphacodes are accepted
PEMs specific to a disease
Frameworks related to the creation of the content from PEMs
Table 2. Professionals and families committee, divided by nationality and specific task. Translators: healthcare professionals, researchers and students from life sciences; developers of the PEMs: researchers and natural science students; revisors and validators: healthcare professionals and families.
Table 2. Professionals and families committee, divided by nationality and specific task. Translators: healthcare professionals, researchers and students from life sciences; developers of the PEMs: researchers and natural science students; revisors and validators: healthcare professionals and families.
NationalitiesTranslatorsDevelopers of the PEMsRevisors and Validators
Medical ProfessionalsFamilies
Portuguese28 1
Spanish3212
Italian2 1
Italian/Swiss 1
Belgian 1
American 46
Brazilian 2
Canadian 3
Australian 1
Mexican1
Turkish 1
British 1
German 1
Swedish 1
Total811619
Table 3. Finished CDG infographics by different types of glycosylation.
Table 3. Finished CDG infographics by different types of glycosylation.
Types of Glycosylation Disease Designation(s)Final Infographics per Language
EnglishPortugueseItalianSpanish
N-linked CDGALG1-CDGIjerph 20 00968 i001-
ALG2-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
ALG3-CDGIjerph 20 00968 i001
ALG6-CDGIjerph 20 00968 i001
ALG8-CDGIjerph 20 00968 i001-
ALG9-CDGIjerph 20 00968 i001
ALG11-CDGIjerph 20 00968 i001
ALG12-CDGIjerph 20 00968 i001
FUT8-CDGIjerph 20 00968 i001
MAN1B1-CDG (Mental retardation 15)Ijerph 20 00968 i001
RFT1-CDGIjerph 20 00968 i001
MOGS-CDGIjerph 20 00968 i001
MPI-CDG *Ijerph 20 00968 i001
PMM2-CDGIjerph 20 00968 i001
SSR3-CDGIjerph 20 00968 i001
SSR4-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
GPI-biosynthesis defectsPIGA-CDG (Multiple congenital anomalies-hypotonia-seizures syndrome 2)Ijerph 20 00968 i001-Ijerph 20 00968 i001
PIGG-CDG (Mental retardation 53)Ijerph 20 00968 i001
PIGN-CDG (Multiple congenital anomalies-hypotonia-seizures syndrome 1 (milder phenotype)Ijerph 20 00968 i001
Disorders of multiple glycosylation pathwaysCOG4-CDGIjerph 20 00968 i001
COG5-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001Ijerph 20 00968 i001
COG6-CDGIjerph 20 00968 i001
DOLK-CDGIjerph 20 00968 i001
DPM1-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
DPM2-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
GMPPA-CDG (Alacrima, achalasia, and mental retardation syndrome)Ijerph 20 00968 i001
MPDU1-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
NANS-CDG (Spondyloepimetaphyseal dysplasia, Camera-Genevieve type)Ijerph 20 00968 i001
PGM1-CDGIjerph 20 00968 i001
SLC35A2-CDG (epileptic encephalopathy) (high incidence of de novo variants)Ijerph 20 00968 i001
SLC39A8-CDGIjerph 20 00968 i001-Ijerph 20 00968 i001
O-linked CDGB4GALT7-CDG (Ehlers–Danlos syndrome, spondylodysplastic type, 1)Ijerph 20 00968 i001-Ijerph 20 00968 i001
Total 32233029
* MPI is also translated into French, Dutch, German, and Bulgarian. Ijerph 20 00968 i001: Finished infographics.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Falcão, M.; Allocca, M.; Rodrigues, A.S.; Granjo, P.; Francisco, R.; Pascoal, C.; Rossi, M.G.; Marques-da-Silva, D.; Magrinho, S.C.M.; Jaeken, J.; et al. A Community-Based Participatory Framework to Co-Develop Patient Education Materials (PEMs) for Rare Diseases: A Model Transferable across Diseases. Int. J. Environ. Res. Public Health 2023, 20, 968. https://doi.org/10.3390/ijerph20020968

AMA Style

Falcão M, Allocca M, Rodrigues AS, Granjo P, Francisco R, Pascoal C, Rossi MG, Marques-da-Silva D, Magrinho SCM, Jaeken J, et al. A Community-Based Participatory Framework to Co-Develop Patient Education Materials (PEMs) for Rare Diseases: A Model Transferable across Diseases. International Journal of Environmental Research and Public Health. 2023; 20(2):968. https://doi.org/10.3390/ijerph20020968

Chicago/Turabian Style

Falcão, Marta, Mariateresa Allocca, Ana Sofia Rodrigues, Pedro Granjo, Rita Francisco, Carlota Pascoal, Maria Grazia Rossi, Dorinda Marques-da-Silva, Salvador C. M. Magrinho, Jaak Jaeken, and et al. 2023. "A Community-Based Participatory Framework to Co-Develop Patient Education Materials (PEMs) for Rare Diseases: A Model Transferable across Diseases" International Journal of Environmental Research and Public Health 20, no. 2: 968. https://doi.org/10.3390/ijerph20020968

APA Style

Falcão, M., Allocca, M., Rodrigues, A. S., Granjo, P., Francisco, R., Pascoal, C., Rossi, M. G., Marques-da-Silva, D., Magrinho, S. C. M., Jaeken, J., Castro, L. A., de Freitas, C., Videira, P. A., de Andrés-Aguayo, L., & dos Reis Ferreira, V. (2023). A Community-Based Participatory Framework to Co-Develop Patient Education Materials (PEMs) for Rare Diseases: A Model Transferable across Diseases. International Journal of Environmental Research and Public Health, 20(2), 968. https://doi.org/10.3390/ijerph20020968

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop