Skip to main content
PLOS Digital Health logoLink to PLOS Digital Health
. 2026 Sep 28;5(9):e0001240. doi: 10.1371/journal.pdig.0001240

Exploring needs and priorities in digital health management for rare disease patients and their caregivers: A mixed-methods study

Anita Burgun 1,2,3, Christina Khnaisser 1,4,5, Roxanne Dault 1, Jean-François Ethier 1,5,*
Editor: Leo Anthony Celi6
PMCID: PMC13618911  PMID: 42804495

Abstract

Rare diseases affect millions worldwide and are associated with long diagnostic delays, limited access to treatments, and substantial challenges in daily care and coordination. Digital health technologies, including mobile apps, tele health, and data‑sharing platforms, offer opportunities to improve care and quality of life for people living with rare diseases. As these tools rapidly expand, this study examines the needs, expectations, and conditions for successful adoption of patient‑centered digital solutions among individuals living with rare diseases and their families. Using a mixed‑methods design, we surveyed 149 patients and caregivers, and conducted follow-up focus groups with 15 participants. Our findings highlight the essential role of digital tools in supporting people with rare diseases and their families. Key priorities include centralized health data, support for patient‑generated data, and improved communication and information exchange with clinicians. Participants strongly emphasized the value of telehealth to reduce travel and simplify daily life, as well as patient‑centered tools for diagnosis and emergency situations. Future digital solutions should integrate system‑wide data, incorporate AI, and provide support during stressful situations, ultimately reducing patient burden despite persistent structural challenges. Respondents expressed strong interest in technologies that place patients at the center of care and improve coordination across providers. Overall, our study identifies actionable targets for innovation and highlights technological, regulatory, and resource‑related barriers that must be addressed to advance patient‑centered digital solutions for rare diseases and guide future research and policy development.

Author summary

People living with rare diseases often wait years for a diagnosis and struggle with complex, fragmented care. Digital health technologies could help address these challenges, but only if they are designed around patients’ real needs. To better understand these needs, we surveyed 149 patients and caregivers in Quebec and held follow‑up discussions with 15 participants. They emphasized the importance of centralized access to health information, better communication with clinicians, and tools that support patient‑generated data. Telehealth was especially valued because it reduces travel and simplifies everyday life. Our findings show that people with rare diseases want digital solutions that reduce their daily burden, improve coordination across providers, and support them during stressful moments such as emergency visits or the diagnostic process. This work provides practical guidance for designing patient‑centered digital tools and highlights system‑level barriers that must be addressed to ensure these innovations truly benefit the rare disease community.

Introduction

Rare diseases are typically defined by a prevalence lower than 1 in 2,000 individuals [1] and consist of more than 7,000 identified types [2,3]. Worldwide, they impact over 300 million people [4], including approximately three million Canadians [3]. About 70% of these conditions begin in childhood [4], often resulting in a significant burden of intensive caregiving on families. Many rare diseases are associated with reduced life expectancy, as well as physical symptoms and disabilities that can limit daily activities, autonomy, and overall well-being [5,6].

Although rare diseases are highly heterogeneous and can affect multiple organs, their management presents common challenges. A primary issue is delivering an accurate and early diagnosis. Their diverse clinical presentations make it difficult for clinicians to identify and recall the symptoms, which can vary significantly within the same disease due to factors such as variable penetrance. In addition, their low prevalence means primary care physicians often encounter these diseases for the first time, leading to long delays between symptom onset and specialist referral. On average, rare disease patients wait five years for a diagnosis [7], and some remain undiagnosed even after referral. These “syndromes without a name” persist despite advances such as whole-genome sequencing (WGS). Initiatives like the Undiagnosed Disease Network in the US [8] and the Solve-RD project in the European Union [9] aim to close this gap, as faster and more accurate identification can significantly improve health outcomes and quality of life. Delayed diagnosis is often associated with higher costs, negative psychological impact, and greater social and functional consequences [10,11]. Moreover, an accurate diagnosis can help identify family members at risk, enabling genetic counseling and early screening.

Even after receiving a precise diagnosis, people with rare diseases continue to face multiple challenges, such as accessing quality care, coordinating hospital and outpatient services, maintaining autonomy, as well as achieving social, professional and civic integration. Above all, the greatest challenge remains access to appropriate treatments. This priority is reflected in a survey conducted by EURORDIS in 2018 involving 3,000 rare disease patients, where therapeutics ranked highest (8.4/10), followed by diagnosis (8.0), disease mechanisms (7.8), social, psychological and economic aspects (7.7), and assistance in daily life technologies (7.4) [12]. Concretely, given the large number of rare genetic disorders and their extremely low prevalence, only a limited number of medical experts possess extensive knowledge of specific diseases. As a result, patients often need to be followed in rare disease excellence centers, leading to significant challenges related to accessibility, logistics, and continuity of care [13].

In 2025, acknowledging the challenges faced by rare disease patients and their families, the World Health Organization (WHO) designated rare diseases as a global health priority and urged countries to integrate this issue into their national strategies [14]. The WHO defined key components for global action, including (i) a framework to ensure equitable access to timely, cost-effective, and accurate diagnosis, evidence-based treatments, and adequate disease management; (ii) strategies for early and confirmed identification; and (iii) guidelines to improve access to healthcare services for rare disease patients. In addition to these recommendations, the WHO promotes the use of digital health technologies to improve access to specialists and treatments [14].

Digital health includes several technologies, such as mobile health applications, virtual care, wearable devices, and communication platforms such as social media. These technologies evolve rapidly. Clinician-patient communication has long been a cornerstone of medicine and patient-centered care, yet recent digital tools, mostly powered by large language models (LLMs), are increasingly integrated into these interactions [15]. They can facilitate patient data collection, analyze these data to provide recommendations, support documentation, and provide real-time responses to patient questions [16–18]. Telemedicine adoption has also drastically transformed healthcare delivery since the COVID-19 pandemic, with insurance programs worldwide expending coverage (e.g., U.S. Medicare and RAMQ in Québec [19,20]). While some patients are enthusiastic about digital tools, others remain skeptical, often due to prior negative experiences or a preference for human interaction [21]. Privacy concerns, particularly in rare diseases, should be explored to understand the extent to which individuals seek meaningful and transparent control over their health data [22,23]. This is especially relevant, as patients with rare diseases may be more willing to share their data than other patient groups, given the challenges previously described [24].

While patients’ perception of digital tools is well documented in other domains [25,26], knowledge of rare disease patients’ expectations remains limited. Existing research has mainly focused on specific aspects of digital tool use in the rare disease community, particularly Internet use by parents of children living with a rare disease [27,28]. More recently, Chang et al. [29] explored perceptions of digital health tools among individuals with rare diseases and their caregivers, identifying three key roles: reducing the burden of disease management, fostering trust and community support, and ensuring access to reliable, personalized information.

Building on these insights, our study provides a complementary perspective through a mixed-methods design. Specifically, we aimed to: (i) describe the interest and the current use of digital health tools among individuals with rare diseases and their families; (ii) identify and prioritize patient-defined needs and preferences for patient-centered digital health solutions; and (iii) examine perceived challenges and conditions for successful implementation. By combining survey data with focus group insights, this study extends prior findings by offering a broader and more actionable understanding to inform the development and deployment of tailored digital health tools for the rare disease community.

Methods

Ethics statement

Ethics approval was obtained from the Educational and Social Sciences Research Ethics Committee of the University of Sherbrooke, Québec, Canada (approval number: 2023–4224). Informed consent was obtained online from all participants prior to their involvement in the study.

Participants’ contact information was stored in a secure online file accessible only to authorized members of the research team. Additionally, qualitative data, including discussion transcripts, were stripped of all identifying information to protect participant confidentiality.

Study design

To achieve our research objectives, we used a sequential mixed‑methods design, starting with a survey followed by focus groups. The focus groups were designed to complement and enrich the survey by providing deeper context to the topics explored, rather than to serve as a means of validating the survey findings. Accordingly, individual survey responses were not matched with participants’ verbatim contributions during the focus groups.

Recruitment

To gather the perspectives of individuals living with rare diseases in Quebec, we collaborated with the Regroupement québécois des maladies orphelines (RQMO) [30], a provincial organization founded in 2010 that brings together patients, caregivers, and rare disease associations. The RQMO represents a particularly relevant partner in this context, as it provides information and support services to all individuals affected by a rare disease, including those without a confirmed diagnosis. Notably, the RQMO network includes over 8,000 members and more than 30 member associations, providing access to a broad and engaged community. Consequently, leveraging its communication networks for this study enabled the efficient recruitment of a wide range of individuals, while relying on a well-established and recognized organization within the rare disease community.

Participants were eligible for the survey or the focus groups if they were 18 years old or older and if: (i) they had at least one diagnosis or rare disease or were in a diagnostic odyssey; or (ii) they were caregivers of a person with a rare disease (e.g., parent, partner).

The online survey was shared with the RQMO members via emails, newsletters, and social media posts on Facebook and LinkedIn. The survey link remained active for three months, during which several reminders were sent through these communication channels to help maximize the response rate. While survey responses remained confidential, participants interested in participating in the focus groups were invited to complete a separate form to provide their contact details. The survey was conducted between March and May 2024, and focus groups were held in April 2025.

Data collection

Survey

The survey questionnaire was specifically developed by the authors of this study. Questions were designed to address the study objectives and included multiple-choice items and Likert scale responses. To ensure the relevance and clarity of the content, it was reviewed by two patients partners from the RQMO. Additionally, an organization specializing in adult literacy (www.alphare.ca) assessed the language used to ensure accessibility for a broad audience. The survey was administered online in both French and English using the University of Sherbrooke LimeSurvey platform.

In the survey, respondents were first asked to assess their current use of digital tools and their interest in using them to access information, support the medical management of their condition, and assist with daily activities. They were then invited to identify the number one priority within these three domains. The survey also examined perceived challenges related to their development and implementation. At the end of the questionnaire, we included a series of sociodemographic and rare disease-related questions to help characterize the respondent sample.

The survey consisted of 27 core questions, along with 8 additional items related to sociodemographic and rare disease characteristics. It took approximately 20 minutes to complete. S1 Text presents the survey questionnaire in English.

Focus groups

Focus groups consisted of survey respondents who had expressed interest in participating in this second phase of the study. Groups were formed based on participants’ availability and were separated into patients and caregivers to encourage discussions around shared experiences. Due to the diversity of rare diseases, we did not attempt to group participants according to their specific rare disease. This approach is also aligned with our objective to identify digital health needs, priorities and challenges that are common across the broader rare disease community.

Participants were required to sign an electronic consent form and complete a sociodemographic questionnaire before taking part in the discussion. The focus groups were conducted online using Microsoft Teams to enable participation of individuals located across the vast province of Quebec, including those in remote areas. This approach enriched the discussions, particularly given the relevance of digital tools for people living far from major urban centers. The focus groups were conducted in French, as all interested participants felt more comfortable to discuss in that language.

All focus groups were led by the same facilitator (RD), who has prior experience with this type of research design. A technical assistant (RM) supported each session by taking notes and managing logistical aspects. To capture both verbal and non-verbal cues, discussions were video, and audio recorded. A PowerPoint presentation was used to present the agenda, provide instructions, and guide participants through discussion topics and questions.

Participants were asked to keep their cameras and microphones open throughout the session to foster interaction and support group dynamics. When possible, they were encouraged to use the “raise hand” feature in Teams to indicate their intention to speak. The facilitator managed speaking turns to ensure fair and inclusive participation.

Each focus group followed the same structured discussion guide and lasted approximately 90 minutes. Groups were limited to a maximum of five participants, allowing meaningful exchanges and ensuring that everyone had the opportunity to answer and elaborate on all questions. A total of four focus groups, three with rare diseases patients and one with caregivers, were conducted in April 2025.

The qualitative phase was designed to enrich and contextualize the survey findings. To initiate the conversation and create a comfortable environment, participants were first asked whether they currently use digital tools to manage their rare disease. The discussion then explored their digital needs across key stages of their care journey: the diagnostic process, medical management following diagnosis, and day-to-day activities. Building on the survey findings, participants were sometimes asked specific questions about needs that had emerged as particularly significant. Finally, they were invited to identify what they considered the top priority for the development or implementation of digital health tools in Quebec. S2 Text presents the discussion guide in English.

The complete 32-item consolidated criteria for reporting qualitative research (COREQ) checklist [31] is provided S1 COREQ Checklist.

Data analysis

Qualitative findings were used to enrich the interpretation of the quantitative data and provide contextual depth, which was the primary purpose of adopting a mixed-methods design.

Survey findings were reported using descriptive statistical measures, such as proportions and mean values.

As the focus groups were audio and video recorded, the discussions were transcribed verbatim. To prevent participant re-identification, all identifying information, such as participants’ and rare disease names, was removed from the transcripts. Technical memos were inserted in brackets within the transcripts to capture nonverbal cues, hesitations, and explicit participant reactions. The transcripts were then imported into NVivo 14, a qualitative analysis software for coding and interpretation. The coding tree combined both deductive and inductive approaches [32]. An initial high-level coding tree was developed in collaboration with the research team (AB, CK, JFE, RD), based on the themes addressed in the discussion guide. As the analysis progressed, new codes were added to reflect emerging themes and insights from the data. To ensure consistency in the analytical process, all focus groups were coded by the same member of the research team (RD). Regular team meetings were held to discuss emerging nodes and refine the coding tree as needed.

Results

Participant characteristics

A total of 149 individuals with rare diseases and caregivers completed an online survey conducted in Quebec (Canada) between March and May 2024. Subsequently, four focus groups were conducted in April 2025: three groups with patients and one with caregivers, each comprising three to five participants, for a total of 15 individuals.

Both patients and caregivers shared similar sociodemographic profiles (Table 1). Participants were predominantly female, generally under 55 years of age, and nearly half held a university degree. Almost all had received or cared for someone with an official rare disease diagnosis, mostly diagnosed within the past five years. Caregivers were primarily parents of minor children (0–17 years old). Almost all participants lived near a healthcare facility providing care for their rare disease, with most residing within one hour of travel and a significant proportion within two hours.

Table 1. Characteristics of survey and focus group participants.

Patients (n = 115*) Caregivers (n = 49§)
n (%)
Gender
Female 103 (89.6) 45 (91.8)
Male 12 (10.4) 3 (6.1)
Prefer not to answer 0 1 (2.0)
Age
18-34 19 (16.5) 4 (8.2)
35-54 50 (43.5) 33 (67.3)
55-74 43 (37.4) 11 (22.4)
75 or more 1 (0.9) 0
Prefer not to answer 2 (1.7) 1 (2.0)
Education
No degree 1 (0.9) 1 (2.0)
High school or vocational degree 17 (14.8) 8 (16.3)
College degree 31 (27.0) 17 (34.7)
University degree 62 (53.9) 23 (46.9)
Prefer not to answer 4 (3.5) 0
Occupation
Full-time studies or employment 33 (28.7) 22 (44.9)
Part-time studies or employment 10 (8.7) 12 (24.5)
Unable to work or on extended leave 40 (34.8) 1 (2.0)
Retired 25 (21.7) 3 (6.1)
Full-time caregivers without any other job NA 8 (16.3)
Prefer not to answer 7 (6.1) 3 (6.1)
Disability
Yes 50 (43.5) NA
No 64 (55.7) NA
Prefer not to answer 1 (0.9) NA
Official diagnosis for at least one rare disease
Yes 104 (90.4) 47 (95.9)
No 10 (8.7) 2 (4.1)
Prefer not to answer 1 (0.9) 0
Number of years since official diagnosis, or since a rare disease was first suspected by a physician (if in a diagnosis odyssey)
Since birth 5 (4.3) 5 (10.2)
Less than one 13 (11.3) 6 (12.2)
1-5 48 (41.7) 18 (36.7)
6-10 18 (15.7) 7 (14.3)
More than 10 30 (26.1) 13 (26.5)
Prefer not to answer 1 (0.9) 0
Number of years between the onset of symptoms and the official diagnosis, or since the onset of symptoms (if in a diagnosis odyssey)
Not applicable 5 (4.3) 5 (10.2)
Less than one 10 (8.7) 12 (24.5)
1-5 34 (29.6) 21 (42.9)
6-10 15 (13.0) 6 (12.2)
More than 10 50 (43.5) 5 (10.2)
Prefer not to answer 1 (0.9) 0
Travel time to the nearest healthcare facility that provides care for your rare disease
Less than one hour 68 (59.1) 23 (46.9)
1-2 hours 30 (26.1) 22 (44.9)
3-4 hours 4 (3.5) 3 (6.1)
5-6 hours 2 (1.7) 0
More than 6 hours 10 (8.7) 1 (2.0)
Prefer not to answer 1 (0.9) 0
Relation with the person with a rare disease
Parent of a child (0–17 years old) NA 33 (67.3)
Parent of an adult (18 years old or more) NA 13 (26.5)
Spouse NA 3 (6.1)

NA, Not applicable.

* n = 115: include the 104 survey respondents and the 11 focus group participants.

§ n = 49: include the 45 survey respondents and the 4 focus group participants.

Digital health needs for rare diseases

As is common in the rare disease context, where caregivers are typically parents caring for a child with a genetic disorder, caregivers were asked to respond from the perspective of the individual for whom they provided care. Responses from patients with rare diseases and caregivers were combined, and no subgroup analyses were conducted.

The survey participants showed interest in digital tools to solve a variety of problems (Table 2). The topics that generate the most interest include diagnosis and care trajectory management, which could both benefit from telemedicine tools. Better disease understanding is also important, and respondents indicated that information on websites would be sufficient. Moreover, around three out of four respondents consider that applications should be offered to support managing day-to-day activities and psychological well-being, and to support in finding social and education services. Finally, sharing experiences with other families through social media platforms is considered helpful by 87% of respondents.

Table 2. Survey respondents’ interest in using digital health tools to support rare disease management (n = 149).

Moderate to high interest Little to no interest Already using Digital solution identified as the most useful to meet this need
n (%)
To find specialists doctors or specialized clinics for the rare disease 129 (86.6) 9 (6.0) 11 (7.4) App or platform that relies on personal data
To be informed about the progression of the medical condition related to the rare disease 126 (84.6) 11 (7.4) 12 (8.1) Telemedicine
To find clinical trials available for the rare disease and verify eligibility 124 (83.2) 20 (13.4) 5 (3.4) App or platform that relies on personal data
To monitor concerning symptoms or side effects after a treatment or after taking medication 123 (82.6) 20 (13.4) 6 (4.0) Telemedicine
To find social services and assistance programs (e.g., programs in mental health, social or financial aid, specialized education services, etc.) 121 (81.2) 26 (17.5) 2 (1.3) App or platform that relies on personal data
To better understand the rare disease or similar rare diseases 117 (78.5) 6 (4.0) 26 (17.5) Online information (Internet)
To maintain or improve psychological well-being 110 (73.8) 33 (22.2) 6 (4.0) Telemedicine
To talk with people who are going through similar experiences 107 (71.8) 19 (12.8) 23 (15.4) Forums or social media
To be informed about the risks of hereditary transmission of the rare disease 103 (69.1) 33 (22.1) 13 (8.7) Telemedicine
To receive support in managing day-to-day activities (e.g., adapting the diet, living environment, etc.) 103 (69.1) 41 (27.5) 5 (3.4) App or platform that relies on personal data
To manage health appointments 102 (68.4) 18 (12.1) 29 (19.5) App or platform that relies on personal data
To suggest possible diagnoses based on symptoms 99 (66.4) 32 (21.5) 18 (12.1) Telemedicine
To participate in online rehabilitation programs 94 (63.1) 53 (35.6) 2 (1.3) Telemedicine
To manage medication 86 (57.7) 56 (37.6) 7 (4.7) App or platform that relies on personal data
To monitor non-concerning symptoms or side effects after a treatment or after taking medication 84 (56.4) 61 (40.9) 4 (2.7) App or platform that relies on personal data

The functionalities for which at least two thirds of the participants showed little or no interest include drug management and monitoring of non-severe symptoms. Moreover, online rehabilitation programs were not a priority either, but not all rare diseases require such programs.

Digital tools to support the diagnosis process

Most survey participants expressed moderate to high interest in using a digital tool to support the diagnosis process, or reported already using one (78.5%) (Table 2). This highlights a significant gap in achieving timely diagnosis, as most participants had already received a diagnosis yet still expressed a strong desire for this kind of tool. This need was strongly emphasized during the focus groups. Several participants described the diagnostic process as “looking for a needle in a haystack.” Repeated testing often delays diagnosis, allowing the disease to progress and worsen:

“Sometimes they have to do the same test several times to reach a diagnosis. Patients often lose skills because the diagnosis takes so long. That clogs up the system even more.” (P13)

One participant shared that they created an Excel spreadsheet to document all relevant information about their condition: symptoms, medications, treatments, and medical consultations, to facilitate and accelerate the diagnostic process:

“Before I got my diagnosis, I created an Excel spreadsheet with all my symptoms, my medication, what did the family doctor do, what helped the symptoms, etc. Instead of starting from scratch, they [doctors in Mexico, where he got his diagnosis] did all the preliminary work before I even went there. If there was a system like this [digital tool] here in Quebec or in Canada, it would be so easy.” (P7)

Participants highlighted the value of a digital tool that could support the exploration of potential diagnoses. Digital tools also have the potential to help patients articulate what they feel and share it effectively with their medical team, while providing validation that what they experience is real. They can enable patient-reported signs and symptoms, allowing users to generate possible diagnostic leads. This is especially relevant in the era of self-quantified devices enabling comprehensive measurements during activities of daily living and sleep periods:

“If there was a search engine... My son has a hump on his back. Well, what genetic diseases can cause a hump on the back? Entering specific characteristics or clinical symptoms would have helped. You can search by keywords. I think that’s what’s missing. It would help a lot.” (P14)

“I think symptom tracking could help get a diagnosis. I had my handwritten sheets. It would certainly have been easier. Then, you might see the impact of certain things. Sometimes we have symptoms, but we don’t know how to name them properly [other participants agree].” (P10)

Interestingly, some participants expressed huge expectations regarding patient-centric tools, subsequently putting the patient (and not the physician) as the main actor in the diagnostic process:

“A Quebec tool that you could bring to your doctor and say, ‘I looked this up, what do you think?’ We are the patients; we are the ones who know the most about our condition.” (P2).

However, the participants emphasized that for such a digital tool to be qualified as trustworthy and adopted by patients, it should be certified by national agencies.

Digital tools to support disease management

Survey respondents expressed moderate to high interest in digital tools designed to support various aspects of their medical care (Table 2). These included five main topics: (i) better understanding of their rare disease (78.5%), including its progression (84.6%), (ii) finding specialists or specialized clinics (86.6%), (iii) managing healthcare trajectories (68.4%), (iv) monitoring adverse effects of treatments or medications, whether severe (82.6%) or not (56.4%); and (v) accessing research related to their rare disease and identifying available clinical trials (83.2%). These needs were also echoed in the focus groups.

  • (i) Better understanding of their rare disease, including its progression. In the focus groups, several participants reported lacking access to reliable tools for answering questions or verifying information about their condition, particularly regarding symptoms and disease progression over time. This relates to the lack of knowledge about certain diseases and the absence of tools tailored for patients, even when information does exist. They noted that existing tools are often difficult to use, not available in their language, and that the information provided is not made accessible to a general audience, limiting both usability and understanding. Therefore, they are looking for digital tools that are user-friendly and multilingual, can adapt to different levels of health literacy and provide trustworthy information:

“Orphanet is great, but at the same time, it’s not very user-friendly when it comes to searching. And even then, you have to know what you are looking for.” (P14)

“I feel there’s a lot of misinformation out there. So, we need to be careful. Having a good platform for all this could only be beneficial.” (P2)

“I searched a lot for simplified information about my disease, even just about the symptoms. I use the web a lot to try to find information.” (P11)

Additionally, several participants expressed difficulties in being taken seriously when reporting unfamiliar symptoms to some health professionals and even in obtaining general information about their condition. Many rare disease patients consider that only family members, a handful of caregivers, and those suffering from a rare illness are aware of what they are going through, which makes them look for digitally mediated support to get more information:

“I have been saying for five years that I need to see a neuropsychologist, but because there is so little information available, doctors tell me, ‘No, your disease doesn’t cause cognitive problems.’ But on Facebook, several of us raised the flag saying, ‘I have these problems too’.” (P11)

“Once the disease is identified, once it’s confirmed, what I experienced is that the specialists basically say: ‘Now you’re on your own.’ Because the disease isn’t well known. But, if there were, say, a portal that listed the disease I have, and explained the symptoms and what someone can do, that kind of support would be really helpful.” (P9)

When only a small number of individuals live with a particular rare condition, the information available to patients about symptoms and disease progression is often very limited. This lack of documentation can be highly stressful for patients and families, leaving them feeling deeply isolated. Future digital solutions should aim to provide trusted and personalized information that helps patients and families understand the condition and anticipate what the future may hold:

“The illness I have, the only information I can get is through general internet searches. Because when you ask your neurologist, they say: ‘The illness is known, but the symptoms are not.’ The general practitioner says pretty much the same thing. Very few people have the illness I have. So, you end up alone. There’s no digital support, no help... So, you’re left on your own to find information. We’re kind of in the dark.” (P10)

“I have a disease that is considered very rare. In Quebec, maybe only about 40 people have my specific form, because there are over 100 forms of this disease. When I got my diagnosis, I said: ‘What is this?’ I was told: ‘Look it up online, you’ll find answers.’ It was overwhelming because all the forms [of the disease] were mixed together. I found it really difficult. I looked for scientific literature because I have a scientific background, but at some point, I couldn’t understand anything. I’m not a geneticist.” (P9)

Some participants also suggested that Artificial Intelligence (AI) could be helpful to detect unknown signals from raw patient data and to identify common patterns across individuals:

“As we know, with rare diseases, even if we report a slightly unusual side effect from a medication, unless it’s very serious, it won’t be reported in a registry. If I could share access to my symptoms, my medications, and all that, maybe artificial intelligence would be able to see patterns based on the information collected.” (P10)

  • (ii) Finding specialists or specialized clinics. The need most frequently rated as moderate to high by survey respondents was the ability to identify specialists or clinics with expertise in their specific rare disease. This priority was further reinforced during the focus groups by many participants:

“I think the biggest gap in all of this is finding a specialist who truly understands the disease and can provide proper follow-up.” (P3)

A participant also mentioned the need for greater transparency regarding waiting times to see specialists:

“‘I’ll refer you to a neurologist.’ Okay, how long before they call me? ‘I don’t know… maybe in a few months you’ll get a call from a neurology clinic.’ Okay, but where am I in the queue? Am I number 2,000? 400? 60? I don’t understand why there isn’t a system that tells you exactly where you are in line. To me, this could easily be solved with a digital system, like when you call Bell Canada and they tell you that you’re number 7 in line. It’s simple.” (P7)

  • (iii) Managing healthcare trajectories. Participants expressed many concerns about having to deal with different siloed applications. They expressed a desire for an app that centralizes all functionalities and integrates all aspects of disease management:

“It’s about bringing everything together: reminders, the list of medications, the list of doctors with their contact information, ideally a list to track symptoms, a calendar to note appointments… I’m probably forgetting something, but… An information section too. So, providing information about rare diseases. Instead of having 10 different apps, having one that brings it all together.” (P10)

“Having tools like that 25 years ago would have made a big difference… managing all the different appointments. You know, we’d see the doctor maybe once every three weeks, but in between, there were physiotherapy and occupational therapy sessions, so we had quite a few appointments. Three to four times a week in different places. So having something centralized would have been really useful.” (P12)

Participants emphasized the need to communicate more easily with healthcare professionals online, through teleconsultation, chat or text messages for questions about side effects or for follow-up appointments that do not necessarily require physical exams or medical tests:

“With doctors in Canada, I don’t have access to Zoom. But, when I went to Central America to get a diagnosis, I used Zoom. Here in Canada, doctors didn’t want to talk via Zoom or WhatsApp. In Mexico, the doctors always communicated with me through WhatsApp and Zoom.” (P7)

Some participants, especially those living in remote areas, also highlighted the challenges of attending appointments. They expressed a desire for self-management tools that allow adjustments to care and treatment plans. Many emphasized that healthcare professionals should have real-time access to these tools to facilitate follow-ups and ensure timely care adjustments:

“Regarding symptoms, what would be useful would be to manage them ourselves. Like me, I would enter my symptoms and create a database, and my doctor or urologist would have real-time access to it. Plus, I live in a rural area, and I have to call Quebec City or Montreal, and it’s complicated to get appointments.” (P1)

Similarly, people living with rare diseases often have frequent appointments with various healthcare professionals and must regularly consult specialists located in urban centers, far from their place of residence. In addition, many individuals with rare diseases face physical limitations, making access to teleconsultation or online appointments even more relevant:

“One hour to get there, one hour to come back, two hours waiting on an uncomfortable chair, being exposed to infections in a clinic or hospital that worsen my symptoms. And it’s exhausting. All that just to be told: ‘everything looks good, see you in six months.’ With the start of the pandemic, we saw that it was actually possible to do things differently. Of course, a gynecological exam is hard to do virtually, but still, there are so many things that can be done through teleconsultations. It’s so helpful. All the energy I save. I’ve been prioritizing this for five years now, and I avoid clinics and all that like the plague. I haven’t had an infection in five years. And the time I used to lose going to appointments; it could be 5 to 20 hours a week before the pandemic. Before, I couldn’t work more than 10 hours a week. But now, I work almost full-time because I can use my energy for that.” (P10)

Beyond general care trajectory needs, participants emphasized the importance of having a digital tool specifically designed to support care management during medical emergencies. Across all focus groups, participants described the considerable burden of receiving urgent care from healthcare professionals unfamiliar with their rare condition. Emergency situations were portrayed as highly stressful for patients and families, who expressed fear of inadequate care:

“Sometimes, having to explain everything all over again can be long and emotionally draining. That’s how it is for me. Whether it’s in pediatrics, genetics, or elsewhere, I think it would be useful to have a tool, whatever the format, that says: ‘My child has [name of the syndrome].’ But then again, do the people in the emergency room at that moment know about this syndrome? Are they familiar with its characteristics, symptoms, and everything that comes with it?” (P14)

To address this issue, some participants suggested designing a digital tool that patients could use to inform emergency medical staff about the appropriate care protocol. Such a tool could include a summary of the patient’s health record along with recommended treatments, medications, and specific care procedures. Interestingly, focus groups with patients and families revealed that participants would feel more comfortable using a digital tool to mediate interactions with health professionals rather than providing oral explanations:

“It would be helpful to have a summary page with all the relevant information. For example, in my son’s case, children with his syndrome typically don’t have an intellectual disability and aren’t autistic, but my son does have an intellectual disability and is autistic. Sometimes people question that. So yes, the syndrome should be listed, but also the specific characteristics of the person. Because if someone sees the name of the syndrome and already knows about it, they might just glance at it and miss important details.” (P14)

“It’s about having a protocol available when you arrive at the emergency room. One that clearly states what the problem is, what your rare disease is, and what needs to be done. If you arrive in anaphylactic shock, like I did, you say you have [name of rare disease]. They respond, ‘What’s that?’ So, I pull out the protocol written and signed by the doctor who diagnosed me. If I arrive at the emergency room unconscious, they have access to some information. They could know what’s going on.” (P3)

Participants envisioned this tool in various formats, either implemented as an alert embedded within current healthcare systems, such as the Québec Health Record [33], or integrated in their provincial health insurance card (RAMQ card), or another portable device (e.g., a bracelet that could be scanned upon arrival at the emergency room). To be effective and widely adopted, participants stressed that the tool had to be approved by relevant regulatory authorities.

  • (iv) Monitoring adverse effects of treatments or medications, whether severe or not. Across all focus groups, participants expressed strong interest in a digital tool that could help them manage their clinical signs and adverse events following treatment. They also emphasized the importance of accessing reliable information to determine whether these symptoms or side effects are expected or documented for their condition:

“I knew something was wrong, but when I searched the internet for my symptoms, nothing came up. If there had been a place I could have written down my symptoms, that would have been definitely helpful.” (P5)

“…to ask my questions. Like a virtual assistant or a database. I use Facebook for that. Otherwise, I will call the neurologist directly because the professionals here aren’t trained, and it’s a bit disjointed.” (P1)

One participant mentioned how these digital tools could help reduce the burden of managing a rare disease:

“I go online to look up my medication, ‘Is what I am experiencing normal, or should I call my pharmacist?’ It [tool] would definitely make things easier. Because when you have a rare disease, you spend energy on everything: managing the illness, appointments, going to the pharmacy... When I’m worried, I search online or call my pharmacist because it’s hard to reach doctors. Any tool that could lighten that load would be incredibly helpful.” (P6)

  • (v) Accessing research related to their rare disease and identifying available clinical trials. Participants also mentioned additional needs related to clinical research. Several expressed a desire to be better informed about ongoing studies, particularly to know whether any research teams are currently working on their specific condition. They also suggested greater patients’ involvement in research, including collecting information about their signs and symptoms, with data being reusable for future research:

“I really believe that when someone receives a diagnosis, they should be involved in research. They should be registered in research. Right now, we’re not trying to address the root problem. We’re just treating symptoms here and there. Like, ‘Oh, you have inflammation’. But what’s causing the inflammation? Instead of addressing the source, we’re just patching things up. So, patients diagnosed with rare diseases should be automatically registered in research so we can find solutions to the root causes, not just the small symptoms.” (P4)

“There should be some kind of database where people with the disease could go and say, ‘I have this symptom’ and researchers could look into it. It could help generate research based on data that isn’t yet conclusive but could become so.” (P11)

One participant even expressed interest in accessing simplified clinical and scientific conferences on their rare disease, featuring specialists and researchers in the field. For example, in a Q&A format:

“From time to time, we have access to clinical conferences. For example, a urologist comes to explain certain things to us, but in simplified terms. It’s just for patients, and that’s really appreciated. Because otherwise, we don’t get that kind of information. It’s not during my appointment with the urologist… I get exactly 10 minutes. And if there’s a delay, she can’t answer my questions.” (P11)

Digital tools to support self-management of daily life activities

Survey results indicated that 69.1% of respondents showed moderate to high interest in digital tools designed to support daily life activities (e.g., adapting diet or environment), 73.8% in tools for psychological well-being, 81.2% in tools to locate social services or assistance programs, and 71.8% in platforms for connecting with others who share similar experiences.

During focus groups, some participants highlighted the challenge of bridging the gap between their diagnosis and the non-medical services available that could support daily life:

“I wonder if there could be a link between the diagnosis and the CLSC [refers to a local community services center in Quebec]? Because, honestly, we don’t know what services they offer. When we go there to try to access them, it’s like looking for form A38 in the madhouse! You’re sent from one department to another. Just getting a parking permit is complicated. These are the kinds of things that make the process long and difficult.” (P13)

Moreover, as with other chronic diseases, they expect greater access to telehealth services when attending in-person appointments is difficult, whether due to remote living, disabilities, or external factors such as pandemics:

“During the pandemic, my son wasn’t in school. He was attending virtual classes. So, during that time, he didn’t have access to his physiotherapist, his occupational therapy, or his speech therapy, but his illness didn’t stop. So, what was I supposed to do? I had to pivot and search online. I found nothing. What exercises are appropriate for this type of child? At the very least, a reference that says, like P13 mentioned, how to get a disabled parking permit, what resources are available? A single website… Maybe a mega-site. It’s a bit of a dream, but right now, there’s nothing.” (P14)

One participant also expressed the need for digital tools to increase autonomy at home, particularly to automating daily tasks and easing life with visual impairment. For example:

“Technological tools to help me go about my daily activities, yes, I need them. Some have been put in place, especially for my visual impairment. But I think there’s still room for improvement. I have a door unlocking system, but I have needs in many other areas: for fall prevention, for lighting in the house, for accessing objects that are too high, for lowering blinds, for many things… Basically, home automation. Yes, technology could be integrated into our homes to help us maintain our autonomy. Technology will allow us to preserve it.” (P8)

Several focus group participants emphasized the need for peer-support communities where they can exchange with others who understand the disease journey, access appropriate resources, receive support and advice, as well as validate symptoms that may be unfamiliar to healthcare providers. Many currently use social media to engage with these communities and share experiences with other rare disease patients and families:

“Sometimes, when you’ve just been diagnosed and you’re on the verge of a crisis, and things aren’t going well, it can really help to talk to a human being [other participants nod in agreement]. So, there’s that human aspect. I was lucky, I got to talk to someone who had been living with this disease for a while. She was able to give me advice. She’s not a doctor, but… So yes, that human connection can be really valuable. Maybe starting with a chat message or an online appointment. Even that can make a big difference when you don’t really know what’s happening to you.” (P5)

“Sometimes I find it a bit comforting. Like at one point, I was really experiencing ‘brain fog’, and I found it so hard to live with. So, I brought it up in a Facebook group [a group related to her rare disease]. I asked, ‘Is anyone else experiencing this? Because it’s not mentioned in the literature.’ Same thing with cognitive issues – they’re not addressed in the scientific literature. And at one point, I started panicking. I thought, ‘What’s going on? I’m not supposed to have cognitive issues.’ I was thinking, ‘My goodness’, on Facebook, when we talk, we mention so many symptoms that aren’t necessarily listed anywhere.” (P9)

“In those Facebook groups, there’s as much junk as there is validation for what I’m going through. You know, I tell myself, ‘It’s not just in my head.’ At one point, my hands were clenched. I had cramps in my hands; they turned into claws. That’s not in the literature, because in the literature, they focus more on genetic research to find a treatment. But in the meantime, we’re the ones living with these problems.” (P11)

“Sometimes it’s also about practical tips. Like, I had this issue: I dislocated my hip. How can I put it back? But if you call your doctor, they’ll say, ‘Come on, it’s not possible to dislocate your hip, that’s really rare.’ You know, they don’t understand the reality. So, it’s kind of all that.” (P10)

However, many also noted the potential risks of relying on such communities for disease management. They expressed concerns about the accuracy of shared information and emphasized the need for reliable, validated resources on their rare disease and its management. Participants proposed a moderated platform where posts are monitored, sources are clearly identified, and trusted individuals provide accurate details about the rare disease:

“People with my disease tend to rely on Facebook groups a lot. But with Facebook groups, you have to take things with a grain of salt. Some people ask a question, and the answers make no sense. There are those ‘know-it-alls’.” (P8)

“In Facebook groups, some people start acting like amateur doctors: ‘I got this number in my test results, what do you all think?’ So, it’s like we’re trying to self-analyze things that should really be interpreted by specialists. I think it leads to a kind of drift. Like for my hypochondriac mother-in-law, one little number slightly above normal, and suddenly she thinks she has cancer. So, we really need to be careful.” (P11)

Improving care coordination through real-time and centralized access to information

Survey results showed that 79.9% of respondents expressed moderate to high interest in exchanging information directly with their healthcare professionals, reflecting a strong need for interactive and accessible communication (Table 3). Additionally, 74.5% indicated interest in recording information and sending real-time alerts to their providers.

Table 3. Survey respondents’ interest in real-time data sharing with their medical team (n = 149).

Moderate to high interest Little to no interest
n (%)
To exchange information with your medical team. 119 (79.9) 30 (20.1)
To record information and send real-time alerts to your medical team. 111 (74.5) 38 (25.5)

Information sharing with healthcare providers and data centralization emerged as key themes in the focus groups. Several participants reported having to maintain an updated medical file at home, including health details, exam and test results, as well as appointments with various professionals, to ensure proper coordination and continuity of care. However, some noted that this responsibility resulted in a considerable cognitive burden, adding to the challenges already posed by their illness:

“We need to keep meticulous records at all times. Everything, absolutely everything. As users, we have to request, archive, and carry all this information with us to every specialist we see. Having it in a digital format would make a huge difference. That kind of access would significantly simplify things and lift that responsibility off our shoulders. […] It would be much easier to have something highly centralized and digitized. Something that could be placed at the core of the person’s condition and shared with everyone involved in their care. That way, access would be much simpler. Because right now, there’s clearly a lot of repetition. What’s really needed is the implementation of a program or software that coordinates our medical files so that all professionals working around us can access everything.” (P8)

“Information sharing between us [patients] and the doctors, and vice versa, is something that’s been available for a long time in the United States. There are portals where patients can send questions to their doctor or clinical team, upload documents, and sometimes even track symptoms or medications. The clinical team can access that information, and the exchange goes both ways. Here, it takes about a month before we can access our own data.” (P10)

Priorities for digital health in rare diseases

More than half of survey respondents (53.7%) identified medical care management as the top priority for implementing digital solutions in Quebec (Table 4). Meanwhile, 26.2% prioritized access to useful information about their rare disease, and 20.1% focused on digital tools to support day-to-day management.

Table 4. Survey respondents’ priorities for implementing digital tools for rare diseases (n = 149).

Priority n (%)
To improve the medical management of my rare disease or the rare disease of the person I am caring for. 80 (53.7)
To access useful information about my rare disease or the rare disease of the person I am caring for at different stages of my/their medical journey. 39 (26.2)
To learn to better live with my rare disease or the rare disease of the person I am caring for on a day-to-day basis. 30 (20.1)

Focus groups priorities aligned closely with survey findings. Half of the participants (8/15) identified patient information centralization as the top priority for implementing digital tools in Quebec. Patients and caregivers expressed a strong need for a solution that enables collecting and sharing information with physicians and all healthcare professionals involved in their care. Access to comprehensive, fast (ideally real time), and user-friendly patient data was seen as essential for improving care coordination and management.

Other priorities included developing a digital assistant to mediate emergency interactions with medical staff (3/15), improving access to teleconsultation or telemedicine services (2/15), creating a peer-support community (1/15), and enhancing education and awareness among healthcare professionals about rare diseases (1/15).

Concerns about the use of digital tools in rare diseases

Overall, survey respondents did not express significant concern about most potential issues related to digital tools (Table 5). However, nearly half reported moderate to high concern about two issues: protecting personal information and losing human interaction.

Table 5. Survey respondents’ concerns related to the use of digital tools for the management of rare diseases (n = 149).

Little or no concerns Moderate to high concerns
n (%)
Protection of personal information or privacy 75 (50.3) 74 (49.7)
Feeling of losing human contact 78 (52.3) 71 (47.7)
Potential costs associated with using digital services and tools 92 (61.7) 57 (38.3)
Difficulty using digital services or tools due to a disability, when applicable 119 (79.9) 30 (20.1)
General health knowledge 135 (90.6) 14 (9.4)
Computer skills 142 (95.3) 7 (4.7)
Ability to access the internet 143 (96.0) 6 (4.0)
Information-seeking skills 146 (98.0) 3 (2.0)

These concerns were also raised by some participants during the focus groups. One participant specifically expressed worries about data security when using digital tools:

“It’s great to have digital access, but we also need to ensure data integrity. That it [the data] isn’t tampered with, and that it remains protected from unauthorized access. These processes are important. Yes, it’s good to democratize access and have digital tools, but we also need to think about security.” (P12)

Another participant spoke about the loss of human connection associated with digital tools, describing them as sometimes cold and impersonal:

“It’s hard sometimes, you know, because I’m not feeling well, it’s a lot. That’s why computers… there are no emotions [emphasizing her preference for in-person contact over internet-based communication]. Maybe it’s easier as a tool, but still, yes, talking to someone in person… so we can talk when things aren’t going well.” (P2)

Other participants raised additional concerns about the implementation of digital tools for managing rare diseases, issues not addressed in the survey. One participant pointed to a broader systemic challenge within Quebec’s healthcare infrastructure, such as lack of funding and limited resources, expressing skepticism about the system’s ability to implement such tools:

With everything we know about the healthcare system, budget cuts and all, it’s already very difficult to implement digital systems. So now I’m thinking, how are they going to implement new systems? It takes funding, it takes political will, it’s a heavy process. I mean, I don’t want to discourage your study, but everything people have said [referring to what participants said in the focus group], it would be amazing to have all that. But how are we actually going to make it happen? That’s what concerns me.” (P6)

Discussion

This study aimed to explore the needs and priorities of rare disease communities regarding health digital tools. Both survey and focus groups participants reported challenges similar to those identified in previous studies and reports, contributing to the definition of shared priorities [4,29,34–36].

Based on our findings, the primary benefit expected from digitalization is improved information exchange between healthcare professionals and patients/caregivers. Participants expressed concerns about siloed data and emphasized the need for a more integrated health information system. These concerns echo the long-standing call for greater interoperability, a demand voiced for years by healthcare professionals and IT system developers. A patient-centric information system is considered a top priority for rare disease communities, given the chronic and complex nature of these conditions, which require high levels of care coordination. Such a system should not only allow patients to access data entered by professionals but also enable them to contribute by collecting patient-reported information and outcomes. Participants expressed a strong desire to act as data providers. Therefore, the priority is to break down silos, establish a pan-institutional model, and develop coherent policies and IT-frameworks that reduce fragmentation and support an inclusive vision of patient care. Most participants were enthusiastic about creating user-friendly communication tools to connect patients with healthcare professionals, suggesting solutions ranging from secure platforms to integrated messaging features.

Patients and caregivers advocated for telemedicine as an alternative to in-person visits. Most physicians, whether in primary care or hospital settings, do not possess extensive knowledge of specific rare diseases. Consequently, many patients must travel considerable distances to access consultations at rare disease excellence centers, particularly in large countries such as Canada and especially for ultra-rare conditions. This challenge is also true in Europe, where EURORDIS advocates for the establishment of secure, reliable telemedicine services to ensure that patients can access specialist care regardless of their location [12]. Similarly, in the United States, telemedicine is increasingly recognized as a means of bridging the gap between patients and specialized medical expertise, improving accessibility, continuity of care, and personalized support for individuals living with rare diseases [37]. All telemedicine modalities were mentioned by at least one participant. Teleconsultation was mentioned as a way to improve access to specialized care, while remote health monitoring was seen as a means to support more personalized, real-time care. Building on this idea, several focus group participants emphasized that healthcare professionals should have real-time access to patient data to enable timely adjustments to care and treatments. However, such an approach raises concerns about potential “alert fatigue” among clinicians managing large patient populations. This phenomenon occurs when clinicians become desensitized to the large number of alerts they receive, many of which are of limited clinical relevance. It was described more than a decade ago by Dr. Robert Watcher in his book The Digital Doctor, which provides an in-depth analysis of the impact of digitalization on medical errors [38]. More recently, several authors have identified technology-induced cognitive overload resulting from the growing volume of patient-generated health information as a factor that may limit the potential benefits of digital tools across various healthcare settings [39–42]. To address this challenge, implementing AI-driven alert triage algorithms will be essential to minimize alert fatigue while supporting real-time, precision-oriented care [43].

Beyond medical needs, nearly 70% of survey participants expressed moderate to high interest in digital solutions to help overcome daily life challenges. Social media networks were also mentioned as essential for accessing peer-support communities and sharing experiences. Several focus group participants viewed these platforms as a way to mitigate feelings of isolation. A similar point was raised by Chang et al. [29]: “Having a community who has been through similar experiences helps to mitigate this isolation. These community members truly understand the highs and lows of managing a rare disease, and can offer the emotional support and motivation to keep going.”. Given the growing popularity of social media, with 5.66 billion users worldwide as of October 2025 [44], and the isolation experienced by many rare disease patients, it is predictable that the number of patients and families using these platforms will continue to rise globally. In line with other authors [45], we argue that community-focused digital tools are central in the rare disease domain and that healthcare professionals should pay close attention to patient discussions on social media. Furthermore, knowledgeable health professionals could play an active role in ensuring that circulating information is accurate and reliable.

In addition, focus group participants expressed a strong interest in modern digital tools using state-of-the art technologies. Rare disease patients are eager for user-friendly applications that support multiple languages and adapt to varying levels of health literacy. When seeking disease-related information or scheduling specialist appointments, participants often compare existing tools for rare disease patients with commercial applications developed by private companies. Their conclusion was consistent: future dedicated tools should integrate the usability and design standards of the apps they are already use in daily life. One participant noted that, although relevant disease-related information may be available on websites such as Orphanet (www.orpha.net), it often remains difficult to access due to poor usability. Based on focus group discussions, a major barrier to adopting digital health solutions is that existing services fail to meet consumer expectations. This observation aligns the growing popularity of generative AI (GenAI) tools in the general population and the increasing role of LLMs and AI in digital health [18,46–48]. However, evaluation protocols for these tools are not standardized, and GenAI-based solutions are constantly evolving. Together, these two factors highlight the need for further research on text quality, clinical effectiveness, user engagement, and safety, as recommended in Feng’s recent review [49]. Consequently, despite the abundance of literature, providing clear scientific evidence on their benefits and limitations remains challenging [50]. Recent studies assessing patient perceptions of GenAI responses indicate that most patients (e.g., 78% in Ayers et al. [18]) preferred chatbot answers over physician responses, describing them as “more empathic”. Yet, the issue of clinician oversight remains [51]. Following recommendations from the American Medical Associations [52], we argue that engagement with AI in rare disease care should be limited to tools that meet rigorous standards for advancing health equity, prioritizing patient safety, and minimizing risks. Furthermore, patients highlighted the potential of AI to generate new knowledge from patient-generated data, such as identifying patterns in datasets of self-reported symptoms and medical events.

Regarding the impact of digitalization, the proportion of participants who expressed concerns about data privacy was roughly similar to that reported in surveys focusing on non-rare disease populations, such as pregnant women [25]. This proportion is lower than that reported in the general population [53–56], suggesting that individuals living with rare diseases may be more receptive to digital tools and data sharing than the average citizen. However, findings regarding privacy concerns in this population remain mixed. Some studies have reported that people with rare diseases are generally willing to share their data and are motivated by the potential to advance research and improve care [54,57]. In contrast, other authors have found that concerns about confidentiality and privacy protection remain important considerations for these patients [24]. It should be noted that our study was not based on a representative sample of the rare disease population. Furthermore, discussions during the focus groups revealed diverse perspectives on digital technologies, with some participants expressing greater confidence and enthusiasm than others.

Another noteworthy finding from our study is that digital tools may alter the respective roles of rare disease patients and physicians. Half of the participants anticipated that digital tools could lead to a loss of human contact. This may affect physicians’ roles, especially since many participants reported challenges in their relationship with their doctors. Several participants highlighted the limited knowledge of rare diseases among health professionals, as well as difficulties in being taken seriously and even listened to by medical staff. They described these challenging interpersonal dynamics as a major barrier within their care pathway. The so-called “medical gaslighting” [58], a phenomenon in which healthcare professionals dismiss or minimize patients’ symptoms without proper medical evaluation, often due to a lack of awareness or understanding of rare diseases, is a real concern for several patients and families in our study [59,60]. The combination of isolation and experiences of gaslighting among individuals with rare diseases makes seeking online information and adopting digital tools more appealing. Traditionally, medical decisions regarding diagnosis and treatment are made by clinicians, or clinicians provide explanations to patients to achieve shared decision-making. In our study, some participants expressed a desire for patient-centric digital solutions that would enable them to participate in decision-making. This demand for greater patient empowerment was most pronounced in two highly stressful situations: first, delays in diagnosis; second, emergency care. One participant shared a vision that resonates broadly within rare disease communities [61,62]: “A Quebec tool that you could bring to your doctor and say, ‘I looked this up, what do you think?’ We are the patients; we are the ones who know the most about our condition”. Notably, our survey revealed that 22.5% of our participants experienced a diagnostic odyssey, receiving a diagnosis after five years. Among them, five participants reported waiting 20 years before receiving a diagnosis, echoing findings from previous studies [63] and confirming the need to prioritize digital solutions that can help reduce time-to-diagnostic [64,65]. In emergency situations, rare disease patients and caregivers expressed interest in digital tools to facilitate communication with emergency medical staff. An app acting as a knowledgeable assistant was mentioned in every focus group, highlighting its potential as a priority for reducing anxiety among families and minimizing the risk of medical errors.

Our findings suggest that joint international efforts are required to address patients’ expectations. Some participants expressed concerns about cuts to health budgets that could slow the development of digital tools in many countries. Moreover, the existence of a myriad of rare diseases, with different symptoms, genetic profiles, progression and associated disabilities, will require joint interdisciplinary collaboration, even partnerships between the private and public sectors to meet patients’ needs. For some ultra-rare diseases, there are only a few experts worldwide, and digital tools offer a way to transfer their knowledge into applications, enabling patients living far from specialized care facilities to benefit from their expertise and receive safer care. Similar obstacles exist in developing countries, where healthcare challenges are closely intertwined with economic development and uneven resource allocation. Digital solutions could help increase equity in addressing these challenges and support the WHO’s priority of reducing the global burden of rare diseases [14].

Study limitations and strengths

This study has some limitations. First, although the survey was distributed through Quebec rare disease associations, 22 survey respondents were from other Canadian provinces. Differences in healthcare systems and priorities may limit comparability, but their responses were still included to capture general needs for digital tools. Second, despite the survey being available for three months and reminders being sent by the RQMO, the number of respondents was low compared with the approximately 8,000 individuals registered in the RQMO database. Because the number of active members could not be determined, the true response rate could not be calculated. In addition, women represented 90% of the participants in our study. The low level of participation and substantial gender imbalance may indicate differential engagement with the rare disease community and may limit the generalizability of the study findings. Furthermore, information on participants’ geographic location was not collected. Instead, access to specialized care was assessed through self-reported travel time to the nearest rare disease facility. Consequently, urban-rural differences and geographical representativeness could not be evaluated, although focus group discussions highlighted challenges specific to individuals living in remote areas. This study also focused exclusively on patients and caregivers, and the perspectives of clinicians regarding digital solutions were not explored, which could have provided additional insights.

Finally, the transferability of our findings to other countries and healthcare systems might vary depending on the structure of the health system. The implementation and impact of digital health innovations depend on the organization of healthcare systems, the distribution of responsibilities among key stakeholders (e.g., payers, innovators, healthcare professionals, patient organizations, and policymakers), and the regulatory and governance frameworks within which these actors operate. Successful digital transformation also relies on the capacity of these stakeholders to collaboratively design, govern, implement, and scale technology-enabled solutions across complex clinical and organizational settings. Nevertheless, we believe that the present study provides a valuable starting point for identifying governance challenges and fostering dialogue on priorities for the responsible development and deployment of digital solutions in rare disease care.

Besides those limitations, a major strength was the active involvement of the rare disease community from the outset. The largest organization representing individuals with rare diseases in Quebec (RQMO) contributed to questionnaire design, survey distribution, and participants recruitment. Two patient-partners helped refine and clarify the survey questions and discussion guide, and 15 of 149 survey respondents volunteered for focus groups, demonstrating strong engagement.

Conclusion

In conclusion, our findings align with previous studies [29] and underscore the central role of digital solutions for people living with rare diseases. Several priorities emerged from the challenges reported by patients and caregivers in Quebec, including the need for a system that centralizes health data, supports patient-generated information, and enables exchanges with healthcare professionals. Participants also expressed strong demand for telehealth services to reduce in-person visits and simplify daily life, as well as tools that place patients at the center of care throughout the diagnostic process and in emergency situations. Building on these insights, digital solutions should rely on modern technologies, integrate data across the health system, support telehealth, incorporate AI algorithms, and offer functionalities to manage the most stressful situations. Such tools, if trustworthy, could significantly reduce the burden of living with a rare disease. While technological, legal, political, and resource-related challenges remain, these findings help identify key targets for future interventions.

Supporting information

S1 Text. Survey questionnaire-patients.

(DOCX)

pdig.0001240.s001.docx (74.1KB, docx)
S2 Text. Discussion guide-patients.

(DOCX)

pdig.0001240.s002.docx (55.4KB, docx)
S1 COREQ Checklist. COREQ: 32-item checklist for reporting qualitative research.

(DOCX)

pdig.0001240.s003.docx (37KB, docx)

Acknowledgments

The authors would like to thank all study participants for their time and valuable contributions. The team also wishes to acknowledge Raphaé Macchabée (RM), an undergraduate student in pharmacology who completed an internship with our team. RM contributed to organizing the focus groups, drafting the discussion guide, and served as a technical assistant during the sessions.

Data Availability

Due to ethical restrictions related to participant privacy, the data cannot be made publicly available. The study population consists of individuals living with rare diseases, for whom clinical, demographic, and disease-related characteristics may be sufficiently unique to permit re-identification, even after removal of direct identifiers. Because it is not possible to fully eliminate the risk of re-identification while preserving the scientific value of the dataset, public data sharing is not permitted. These restrictions were imposed by the Research Ethics Board and are consistent with the informed consent provided by study participants. The study dataset is stored on a secure institutional SharePoint platform managed by the University of Sherbrooke with access restricted to authorized study personnel. Data will be retained for seven years following publication in accordance with institutional policies and maintained through the University’s information technology infrastructure. The dataset will remain available to authorized individuals during this period. Requests for data access will be considered in accordance with applicable ethical, privacy, and institutional requirements and may be directed to the corresponding author at Jean-Francois.Ethier@USherbrooke.ca, or to the Research Ethics Board that approved this study at ethique.ess@usherbrooke.ca.

Funding Statement

This study was supported by the Ministère de l’Économie, de l’Innovation et de l’Énergie (MEIE) and La Fondation de l’Université de Sherbrooke through the Chaire MEIE du numérique en santé (co-holders: AB and CK, start date: May 1st, 2021) as well as by the Chaire de recherche en informatique de la santé de l’Université de Sherbrooke (holder: JFE, start date: July 1st, 2022). AB also received funding from the Agence Nationale de la Recherche – Imagine Institute (ANR-10-IAHU-01) and PR[AI]RIE (ANR-19-P3IA-0001). JFE also received a Clinical Research Scholar Junior 2 from the Fonds de recherche du Québec – Santé. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No author received salary support from any of the project funders.

References

  • 1.What are Rare Diseases? | Rare Diseases Clinical Research Network [Internet]. [cited 2026 Jan 12]. Available from: https://www.rarediseasesnetwork.org/about/what-are-rare-diseases
  • 2.Maladies rares 101 - Réseau canadien des maladies rares [Internet]. 2024. [cited 2025 Oct 16]. Available from: https://canadianrdn.ca/rare-diseases-101/
  • 3.About CORD | Canadian Organization for Rare Disorders [Internet]. [cited 2025 Oct 16]. Available from: https://www.raredisorders.ca/about/about-cord
  • 4.The Lancet Global Health. The landscape for rare diseases in 2024. Lancet Glob Health. 2024;12(3):e341. doi: 10.1016/S2214-109X(24)00056-1 [DOI] [PubMed] [Google Scholar]
  • 5.Matthews L, Chin V, Taliangis M, Samanek A, Baynam G. Childhood rare diseases and the UN convention on the rights of the child. Orphanet J Rare Dis. 2021;16(1):523. doi: 10.1186/s13023-021-02153-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Yang G, Cintina I, Pariser A, Oehrlein E, Sullivan J, Kennedy A. The national economic burden of rare disease in the United States in 2019. Orphanet J Rare Dis. 2022;17(1):163. doi: 10.1186/s13023-022-02299-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.jms. Major survey reveals lengthy diagnostic delays for rare disease patients. EURORDIS-Rare Diseases Europe [Internet]. 2024. [cited 2025 Oct 16]. Available from: https://www.eurordis.org/survey-reveals-lengthy-diagnostic-delays/
  • 8.Borja NA, Tinker RJ, Bivona SA, Smith CA, Locker TK, Fernandes S, et al. Advancing Equity in Rare Disease Research: Insights From the Undiagnosed Disease Network. Am J Med Genet A. 2025;197(2):e63904. doi: 10.1002/ajmg.a.63904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Laurie S, Steyaert W, de Boer E, Polavarapu K, Schuermans N, Sommer AK, et al. Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses. Nat Med. 2025;31(2):478–89. doi: 10.1038/s41591-024-03420-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Benito-Lozano J, Arias-Merino G, Gómez-Martínez M, Arconada-López B, Ruiz-García B, Posada de la Paz M, et al. Psychosocial impact at the time of a rare disease diagnosis. PLoS One. 2023;18(7):e0288875. doi: 10.1371/journal.pone.0288875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Phillips C, Parkinson A, Namsrai T, Chalmers A, Dews C, Gregory D, et al. Time to diagnosis for a rare disease: managing medical uncertainty. A qualitative study. Orphanet J Rare Dis. 2024;19(1):297. doi: 10.1186/s13023-024-03319-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.EURORDIS-Rare Diseases Europe. Rare disease patients’ participation in research [Internet]. [cited 2025 Oct 16]. Available from: https://www.eurordis.org/publications/rb-research-report/
  • 13.Dharssi S, Wong-Rieger D, Harold M, Terry S. Review of 11 national policies for rare diseases in the context of key patient needs. Orphanet J Rare Dis. 2017;12(1):63. doi: 10.1186/s13023-017-0618-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.World Health Organization. Rare diseases: a global health priority for equity and inclusion [Internet]. 2025. Available from: https://apps.who.int/gb/ebwha/pdf_files/EB156/B156_CONF2-en.pdf
  • 15.Teo ZL, Thirunavukarasu AJ, Elangovan K, Cheng H, Moova P, Soetikno B, et al. Generative artificial intelligence in medicine. Nat Med. 2025;31(10):3270–82. doi: 10.1038/s41591-025-03983-2 [DOI] [PubMed] [Google Scholar]
  • 16.Adams SJ, Acosta JN, Rajpurkar P. How generative AI voice agents will transform medicine. NPJ Digit Med. 2025;8(1):353. doi: 10.1038/s41746-025-01776-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mahajan A, Powell D. Transforming healthcare delivery with conversational AI platforms. NPJ Digit Med. 2025;8(1):581. doi: 10.1038/s41746-025-01968-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ayers JW, Poliak A, Dredze M, Leas EC, Zhu Z, Kelley JB, et al. Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum. JAMA Intern Med. 2023;183(6):589–96. doi: 10.1001/jamainternmed.2023.1838 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gouvernement du Québec [Internet]. Services cliniques en télésanté. [cited 2025 Nov 18]. Available from: https://www.quebec.ca/sante/systeme-et-services-de-sante/telesante/services-cliniques-en-telesante
  • 20.Telehealth Insurance Coverage [Internet]. [cited 2025 Nov 18]. Available from: https://www.medicare.gov/coverage/telehealth
  • 21.Li H, Zhang R, Lee Y-C, Kraut RE, Mohr DC. Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. NPJ Digit Med. 2023;6(1):236. doi: 10.1038/s41746-023-00979-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Welzel C, Ostermann M, Smith HL, Minssen T, Kirsten T, Gilbert S. Enabling secure and self determined health data sharing and consent management. NPJ Digit Med. 2025;8(1):560. doi: 10.1038/s41746-025-01945-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cumyn A, Ménard JF, Barton A, Dault R, Lévesque F, Ethier JF. Patients’ and members of the public’s wishes regarding transparency in the context of secondary use of health data: scoping review. J Med Internet Res. 2023;25:e45002. doi: 10.2196/45002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Courbier S, Dimond R, Bros-Facer V. Share and protect our health data: an evidence based approach to rare disease patients’ perspectives on data sharing and data protection - quantitative survey and recommendations. Orphanet J Rare Dis. 2019;14(1):175. doi: 10.1186/s13023-019-1123-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lazarevic N, Pizzuti C, Rosic G, Bœhm C, Williams K, Caillaud C. A mixed-methods study exploring women’s perceptions and recommendations for a pregnancy app with monitoring tools. NPJ Digit Med. 2023;6(1):50. doi: 10.1038/s41746-023-00792-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Madanian S, Nakarada-Kordic I, Reay S, Chetty T. Patients’ perspectives on digital health tools. PEC Innov. 2023;2:100171. doi: 10.1016/j.pecinn.2023.100171 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bouwman MG, Teunissen QGA, Wijburg FA, Linthorst GE. “Doctor Google” ending the diagnostic odyssey in lysosomal storage disorders: parents using internet search engines as an efficient diagnostic strategy in rare diseases. Arch Dis Child. 2010;95(8):642–4. doi: 10.1136/adc.2009.171827 [DOI] [PubMed] [Google Scholar]
  • 28.Deuitch NT, Beckman E, Halley MC, Young JL, Reuter CM, Kohler J, et al. “Doctors can read about it, they can know about it, but they’ve never lived with it”: How parents use social media throughout the diagnostic odyssey. J Genet Couns. 2021;30(6):1707–18. doi: 10.1002/jgc4.1438 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Chang A, Huang SD, Benjamin DJ, Schmidt JL, Palmer CGS, Garrison NA. Exploring the role of digital tools in rare disease management: An interview-based study. J Genet Couns. 2025;34(1):e1908. doi: 10.1002/jgc4.1908 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.RQMO. RQMO – Regroupement québécois des maladies orphelines [Internet]. 2015. [cited 2023 May 8]. Available from: https://rqmo.org/
  • 31.Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57. doi: 10.1093/intqhc/mzm042 [DOI] [PubMed] [Google Scholar]
  • 32.Proudfoot K. Inductive/Deductive Hybrid Thematic Analysis in Mixed Methods Research. J Mixed Methods Res. 2022;17(3):308–26. doi: 10.1177/15586898221126816 [DOI] [Google Scholar]
  • 33.Gouvernement du Québec. Gouvernement du Québec [Internet]. Québec Health Record. 2022. [cited 2025 Nov 5]. Available from: https://www.quebec.ca/en/health/your-health-information/quebec-health-record
  • 34.Ministère de la Santé et des Services Sociaux. Plan d’action québécois sur les maladies rares 2023-2027 [Internet]. Report ISBN: 978-2-550-94475-1. Located at: Bibliothèque et Archives nationales du Québec. 2023. [cited 2023 Nov 24]. Available from: https://publications.msss.gouv.qc.ca/msss/document-003573/?&date=DESC
  • 35.Lopez Gousset V, Bolz-Johnson M. Common needs of the rare disease population identified globally. 2021.
  • 36.Long JC, Best S, Nic Giolla Easpaig B, Hatem S, Fehlberg Z, Christodoulou J, et al. Needs of people with rare diseases that can be supported by electronic resources: a scoping review. BMJ Open. 2022;12(9):e060394. doi: 10.1136/bmjopen-2021-060394 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Telemedicine Resources - For Patients - National Organization for Rare Disorders [Internet]. 2024. [cited 2026 Jun 30]. Available from: https://rarediseases.org/telemedicine-resources/patients/
  • 38.Ibrahim S. The digital doctor: hope, hype and harm at the dawn of medicine’s computer age. Malays Orthop J. 2018;12(2):75. [Google Scholar]
  • 39.Erdogan H, Ulcay D, Afsar F. Beyond alarm fatigue: nurses’ experiences of behavioral nudge fatigue in digital clinical environments. BMC Nurs. 2026;25(1):286. doi: 10.1186/s12912-026-04592-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Chromik J, Flint AR, Arnrich B. ARTEMIS: An alarm threshold and policy mining system for the intensive care unit. Int J Med Inform. 2024;184:105349. doi: 10.1016/j.ijmedinf.2024.105349 [DOI] [PubMed] [Google Scholar]
  • 41.Van De Sijpe G, Quintens C, Walgraeve K, Van Laer E, Penny J, De Vlieger G, et al. Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey. BMC Med Inform Decis Mak. 2022;22(1):48. doi: 10.1186/s12911-022-01783-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Wong A, Otles E, Donnelly JP, Krumm A, McCullough J, DeTroyer-Cooley O, et al. External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients. JAMA Intern Med. 2021;181(8):1065–70. doi: 10.1001/jamainternmed.2021.2626 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Poly TN, Islam MM, Muhtar MS, Yang H-C, Nguyen PAA, Li Y-CJ. Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication-Related Clinical Decision Support System: Model Development and Validation. JMIR Med Inform. 2020;8(11):e19489. doi: 10.2196/19489 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Statista. Internet and social media users in the world [Internet]. 2025. [cited 2025 Nov 5]. Available from: https://www.statista.com/statistics/617136/digital-population-worldwide/
  • 45.Davis C, Bogaert L, Powell J, Low K. Social media use among parents and caregivers of children with rare genetic diseases: scoping review. J Med Internet Res. 2025;27:e77087. doi: 10.2196/77087 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Tilton AK, Caplan BE, Cole BJ. Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework. Front Digit Health. 2025;7:1616488. doi: 10.3389/fdgth.2025.1616488 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Beheshti M, Toubal IE, Alaboud K, Almalaysha M, Ogundele OB, Turabieh H, et al. Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. Informatics. 2025;12(1):9. doi: 10.3390/informatics12010009 [DOI] [Google Scholar]
  • 48.Girton MR, Greene DN, Messerlian G, Keren DF, Yu M. ChatGPT vs Medical Professional: Analyzing Responses to Laboratory Medicine Questions on Social Media. Clin Chem. 2024;70(9):1122–39. doi: 10.1093/clinchem/hvae093 [DOI] [PubMed] [Google Scholar]
  • 49.Feng S, Li L e a h, Wake AN. Engaging artificial intelligence (AI)-based chatbots in digital health: A systematic review. PLOS Digital Health. 2026;5(2):e0001201. doi: 10.1371/journal.pdig.0001201 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Mandal S, Wiesenfeld BM, Szerencsy AC, Small WR, Major V, Richardson S, et al. Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication. NPJ Digit Med. 2025;8(1):591. doi: 10.1038/s41746-025-01972-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Chen D, Chauhan K, Parsa R, Liu ZA, Liu F-F, Mak E, et al. Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer. NPJ Digit Med. 2025;8(1):275. doi: 10.1038/s41746-025-01671-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.American Medical Association. Augmented intelligence in medicine [Internet]. 2025. [cited 2025 Nov 5]. Available from: https://www.ama-assn.org/practice-management/digital-health/augmented-intelligence-medicine
  • 53.Alhammad N, Alajlani M, Abd-Alrazaq A, Epiphaniou G, Arvanitis T. Patients’ Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review. J Med Internet Res. 2024;26:e50715. doi: 10.2196/50715 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kalkman S, van Delden J, Banerjee A, Tyl B, Mostert M, van Thiel G. Patients’ and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence. J Med Ethics. 2022;48(1):3–13. doi: 10.1136/medethics-2019-105651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Cumyn A, Dault R, Barton A, Cloutier AM, Ethier JF. Citizens, research ethics committee members and researchers’ attitude toward information and consent for the secondary use of health data: implications for research within learning health systems. J Empir Res Hum Res Ethics. 2021;16(3):165–78. doi: 10.1177/1556264621992214 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Cumyn A, Barton A, Dault R, Safa N, Cloutier A-M, Ethier J-F. Meta-consent for the secondary use of health data within a learning health system: a qualitative study of the public’s perspective. BMC Med Ethics. 2021;22(1):81. doi: 10.1186/s12910-021-00647-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Amorim M, Silva S, Machado H, Teles EL, Baptista MJ, Maia T, et al. Benefits and Risks of Sharing Genomic Data for Research: Comparing the Views of Rare Disease Patients, Informal Carers and Healthcare Professionals. Int J Environ Res Public Health. 2022;19(14):8788. doi: 10.3390/ijerph19148788 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Ng IK, Tham SZ, Singh GD, Thong C, Teo DB. Medical Gaslighting: A New Colloquialism. Am J Med. 2024;137(10):920–2. doi: 10.1016/j.amjmed.2024.06.022 [DOI] [PubMed] [Google Scholar]
  • 59.When Doctors Dismiss Symptoms, Patients Suffer Lasting Harm [Internet]. [cited 2025 Nov 18]. Available from: https://rutgershealth.org/news/when-doctors-dismiss-symptoms-patients-suffer-lasting-harm
  • 60.Hemmesch AR, Bogart KR, Barnes E. “Lack” and “Finally”: A Qualitative Analysis of Barriers and Facilitators in Rare Disease Healthcare. Int J Environ Res Public Health. 2025;22(1):117. doi: 10.3390/ijerph22010117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Webb SM, Kristensen J, Nordenström A, Vitali D, Amodru V, Wiehe LK, et al. Patient journey experiences may contribute to improve healthcare for patients with rare endocrine diseases. Endocr Connect. 2022;11(12):e220385. doi: 10.1530/EC-22-0385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Bolz-Johnson M, Meek J, Hoogerbrugge N. “Patient Journeys”: improving care by patient involvement. Eur J Hum Genet. 2020;28(2):141–3. doi: 10.1038/s41431-019-0555-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Nguyen MM, Mahfoozi S, Bonner D, Martschenko DO, Giri A, Tang C, et al. “Nobody listened to us for years”: Parents’ experiences of provider communication in the diagnostic odyssey. Mol Genet Metab. 2025;146(4):109283. doi: 10.1016/j.ymgme.2025.109283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Li JG, Xu K, Xiao B, Li J, Zhu Y-C, Jin H, et al. Addressing the diagnostic gap through deep phenotyping. Hum Genomics. 2026;20(1):59. doi: 10.1186/s40246-026-00925-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Ho M-L, Zitnik M, Azachi R, Basu S, Rajpurkar P, Sidlow R. Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy. Health Technol. 2026;16(3):621–32. doi: 10.1007/s12553-026-01057-y [DOI] [PMC free article] [PubMed] [Google Scholar]
PLOS Digit Health. doi: 10.1371/journal.pdig.0001240.r001

Decision Letter 0

Leo Anthony Celi, John Robert Bautista

11 May 2026

Response to Reviewers Revised Manuscript with Track Changes Manuscript Journal Requirements:

1. Please amend your detailed Financial Disclosure statement. This is published with the article. It must therefore be completed in full sentences and contain the exact wording you wish to be published.

i. Please clarify all sources of financial support for your study. List the grants, grant numbers, and organizations that funded your study, including funding received from your institution. Please note that suppliers of material support, including research materials, should be recognized in the Acknowledgements section rather than in the Financial Disclosure.

ii. State the initials, alongside each funding source, of each author to receive each grant. For example: "This work was supported by the National Institutes of Health (####### to AM; ###### to CJ) and the National Science Foundation (###### to AM)."

iii. State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

iv. If any authors received a salary from any of your funders, please state which authors and which funders.

2. We note that your Data Availability Statement is currently as follows: The survey questionnaire and the discussion guide used for the focus groups are available as Supporting information files. All data generated or analyzed during this study are included in this published article.

Please confirm at this time whether or not your submission contains all raw data required to replicate the results of your study. Authors must share the “minimal data set” for their submission. PLOS defines the minimal data set to consist of the data required to replicate all study findings reported in the article, as well as related metadata and methods (https://journals.plos.org/plosone/s/data-availability#loc-minimal-data-set-definition).

For example, authors should submit the following data:

- The values behind the means, standard deviations and other measures reported;

- The values used to build graphs;

- The points extracted from images for analysis.

Authors do not need to submit their entire data set if only a portion of the data was used in the reported study.

If your submission does not contain these data, please either upload them as Supporting Information files or deposit them to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of recommended repositories, please see https://journals.plos.org/plosone/s/recommended-repositories.

If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. If data are owned by a third party, please indicate how others may request data access.

3. Please ensure that your Ethics Statement is available in its entirety at the beginning of your Methods section, under a subheading 'Ethics Statement'.

Additional Editor Comments (if provided): Reviewers' Comments:

Comments to the Author

1. Does this manuscript meet PLOS Digital Health’s publication criteria?>

Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?-->?>

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

Reviewer #1:  Summary

The authors present a mixed-methods study (149 survey respondents, 15 focus group participants) analyzing what rare disease patients and caregivers want from digital health tools in Quebec. The community wants centralized data, symptom tracking, and better communication with clinicians. The paper shows why generic health apps do not work for this population.

In my comments below, I make some suggestions of what to include. The authors are free to include them or not, the intention is to be helpful not to constrain them to a particular view. I hope that they are useful because I think this should be accepted/published, subject to minor changes.

Major

1. Sample Bias and Response Rates: The 90% female sample is expected, but warrants brief acknowledgement and discussion, because it's socially important. Sociologically, women carry a disproportionate caregiving burden for complex needs, and female patients generally experience longer diagnostic odysseys, often facing "medical gaslighting". This drives them to advocacy groups like RQMO. The authors should state how these systemic drivers create bias, and note how it affects findings on digital literacy or trust. Do the authors have a response rate? Knowing whether 149 respondents came from 300 or 3,000 invitations would clarify the engagement level.

2. Alert Fatigue and Behavioral Economics: The mention of "alert fatigue" (Lines 688-691) identifies a common failure point. From a behavioral economics perspective, clinicians facing a flood of raw, patient-generated symptom data will discount or ignore it due to cognitive overload. This friction prevents digital health adoption. Patient-centered tools only work if they are aggressively filtered to be clinician-friendly. The discussion needs to reflect this.

3. Privacy and Self-Selection: The conclusion that rare disease patients are willing to share data (only 50% expressed privacy concerns) is likely overstated. Recruiting through advocacy networks yields a highly activated cohort desperate for solutions. This group self-selects for higher trust in data sharing compared to the general population. I'm not arguing with the authors, and this is my view. If the authors think differently, it might be worth suggesting something like, "a reviewer suggested X, however...". What that does is demonstrate that there isn't consensus in the interpretation and in my view, adds value as a potential avenue for further exploration. For what it's worth, I reckon an discrete choice experiment could be really useful and interesting to undertake here, and although I'm not a native French-speaker, if the authors are interested in further advice/suggestions on this, I'm happy to provide them.

4. Generalizability (The Quebec Context): Quebec's RAMQ system provides universal public insurance but struggles with geographic bottlenecks and wait times (common to many social health systems). Patients are fighting systemic access barriers rather than financial ones. The findings generalize best to similar universal, geographically dispersed systems--such as the UK NHS, Australia's Medicare, or New Zealand-- rather than multi-payer environments like the US. This important, because under-recognised is both access difficulties and catastrophic health expenditure for people with rare diseases.

Minor

- Line 284: The qualitative quote mentioning "20-year wait times" is compelling. Mention this in the introduction to frame why the diagnostic odyssey requires digital intervention. I'm tempted to provide a quote to one of my own papers here, but on principle I won't There's plenty of great papers describing wait times. The typically quoted figure is somewhere around years. I don't know how to interpret the "20-year" experience, but I feel like it might be important in the future for us to come back to this.

- Line 364 (AI): Participants suggesting AI for symptom pattern recognition is topical. Briefly discuss how patients currently use LLMs for self-diagnosis, and the clinical risks involved. You might (I'm not sure), identify a gap in the literature around this. This group might be well placed to research that, but in either case, it signposts for future researchers, making this paper an important citation in work like this.

Conclusion

This is a strong paper providing useful data in the digital health space. Hopefully it's evidence that I enjoyed it and I appreciate that the work was done. The mixed-methods approach captures the specific frustrations of the rare disease community. Addressing the drivers of demographic bias, adjusting the privacy findings, and expanding on the behavioral friction of clinician alert fatigue will improve the manuscript. I recommend minor revision.

Note to the editorial team: If accepted, I advise promoting this piece. It will draw attention from pharma/lifesciences groups, the rare disease community, and organizations like the World Economic Forum, which have an active interest in rare disease support and digital management.

Reporting Checklist Assessment (COREQ)

Recommendation: The authors should review COREQ or SRQR standards and clarify the missing qualitative methodology details (particularly saturation, non-participation, and participant checking). If you download either/both from Equator, assess against this, implement the improvements, then include the checklist as an attachment. They can be incorporated into a supplement and don't need to be in the manuscript. What this does is increase the assessed quality, particularly for things like meta-analyses, and this increases the likelihood of citation/impact. I suspect (my view), that increasingly as AI-assisted manuscript review comes in, that checklists will be considered standard. I've asked for them for many years, but this context makes it even more important and worth the additional work.

An cursory independent assessment against the 32-item COREQ checklist shows:

- Reported: Methodological orientation, participant selection via advocacy groups, setting (online), sample demographics, data coder count, and quotation presentation.

- Missing/Incomplete:

-- Research Team: Specific credentials, occupation, and gender of the facilitator; participant knowledge of the interviewer.

-- Study Design: Data saturation, rates of non-participation/drop-outs for the focus groups, and whether transcripts were returned to participants.

-- Analysis: Formal participant checking of the findings or quotes.

Reviewer #2:  This study examines the role of digital health technologies in addressing the complex challenges faced by individuals living with rare diseases and their caregivers, including barriers to diagnosis, treatment access, and care coordination. The study addresses a highly relevant and underexplored area, and its mixed-methods approach has the potential to provide valuable, practice-oriented insights into the needs and priorities of rare disease patients and their caregivers.

That said, there are several areas where further clarification and elaboration would strengthen the manuscript and enhance its overall contribution:

In the methods section, the authors state that RQMO members were recruited as participants. However, readers who are not familiar with this organization may lack sufficient background to understand the sampling choice. It would be helpful to briefly describe what RQMO is, the characteristics of its members, and the rationale for targeting this group. In addition, the authors should discuss the strengths and limitations associated with this sampling strategy.

Based on the data analysis and results sections, the quantitative survey appears to be used primarily for descriptive purposes, which somewhat limits the implications of the findings. Given the context of rare disease patients and their caregivers, one might expect more exploratory insights into their motivations and needs regarding telemedicine or digital health tools. However, participants were restricted to selecting from predefined options, which may have constrained the depth of responses. This raises a broader question about how the sequential mixed-methods design was intended to function. Specifically, what aspects were meant to be addressed by the survey, and what additional insights were expected from the interviews? The complementary roles of the two methods should be clarified.

It is also unclear why caregivers were asked to respond from the perspective of the individuals they care for, rather than from their own viewpoints. Caregivers may have distinct needs and experiences, and capturing these directly could provide valuable insights. The authors should justify this design choice.

Finally, the importance of telemedicine for rare disease patients and their caregivers could be better articulated. How does telemedicine use in this population differ from what has been reported in the broader literature on general patient populations? A more explicit comparison in both the introduction and discussion sections would help to strengthen the study’s contribution.

I wish the authors the best in further refining and developing this work for publication.

Reviewer #3:  Understanding the challenge of consolidating data from rare diseases, I highy commend the efforts undertaken by the team. While the dataset is small (n = 15 for the followup activities), the 150+ respondents can compensate for this.

**********

what does this mean?). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review?  If you choose “no”, your identity will remain anonymous but your review may still be made public.

For information about this choice, including consent withdrawal, please see our Privacy Policy

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

**********

Figure resubmission:

Reproducibility: --> -->-->To enhance the reproducibility of your results, we recommend that authors of applicable studies deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols-->?>

PLOS Digit Health. doi: 10.1371/journal.pdig.0001240.r003

Decision Letter 1

Leo Anthony Celi

8 Sep 2026

Exploring Needs and Priorities in Digital Health Management for Rare Disease Patients and their Caregivers: A Mixed-Methods Study

PDIG-D-26-00150R1

Dear Dr Ethier,

We are pleased to inform you that your manuscript 'Exploring Needs and Priorities in Digital Health Management for Rare Disease Patients and their Caregivers: A Mixed-Methods Study' has been provisionally accepted for publication in PLOS Digital Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow-up email from a member of our team.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they'll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact digitalhealth@plos.org.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Digital Health.

Best regards,

Leo Anthony Celi, MD MS MPH

Editor-In-Chief

PLOS Digital Health

***********************************************************

Additional Editor Comments (if provided):

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Comments to the Author

Reviewer #2: All comments have been addressed

**********

publication criteria?>

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?-->?>

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)??>

The PLOS Data policy

Reviewer #2: No

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #2: Yes

**********

Reviewer #2: The authors have thoroughly addressed my comments, and I sincerely appreciate their efforts in revising the manuscript; I wish them all the best with this project and their future work.

**********

what does this mean?). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review?  If you choose “no”, your identity will remain anonymous but your review may still be made public.

For information about this choice, including consent withdrawal, please see our Privacy Policy

Reviewer #2: No

**********

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Text. Survey questionnaire-patients.

    (DOCX)

    pdig.0001240.s001.docx (74.1KB, docx)
    S2 Text. Discussion guide-patients.

    (DOCX)

    pdig.0001240.s002.docx (55.4KB, docx)
    S1 COREQ Checklist. COREQ: 32-item checklist for reporting qualitative research.

    (DOCX)

    pdig.0001240.s003.docx (37KB, docx)
    Attachment

    Submitted filename: Response to reviewers_v2026-07-04.docx

    pdig.0001240.s005.docx (39.9KB, docx)

    Data Availability Statement

    Due to ethical restrictions related to participant privacy, the data cannot be made publicly available. The study population consists of individuals living with rare diseases, for whom clinical, demographic, and disease-related characteristics may be sufficiently unique to permit re-identification, even after removal of direct identifiers. Because it is not possible to fully eliminate the risk of re-identification while preserving the scientific value of the dataset, public data sharing is not permitted. These restrictions were imposed by the Research Ethics Board and are consistent with the informed consent provided by study participants. The study dataset is stored on a secure institutional SharePoint platform managed by the University of Sherbrooke with access restricted to authorized study personnel. Data will be retained for seven years following publication in accordance with institutional policies and maintained through the University’s information technology infrastructure. The dataset will remain available to authorized individuals during this period. Requests for data access will be considered in accordance with applicable ethical, privacy, and institutional requirements and may be directed to the corresponding author at Jean-Francois.Ethier@USherbrooke.ca, or to the Research Ethics Board that approved this study at ethique.ess@usherbrooke.ca.


    Articles from PLOS Digital Health are provided here courtesy of PLOS

    RESOURCES