Evidence map›Paper›PMID 42804495›Full record

ArticlePLOS digital health2026

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

Anita Burgun, Christina Khnaisser, Roxanne Dault, Jean-François Ethier

Abstract read
In one paragraph

Article in PLOS digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anita BurgunGroupe de Recherche Interdisciplinaire en Informatique de la Santé, Faculty of Sciences/Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Christina KhnaisserGroupe de Recherche Interdisciplinaire en Informatique de la Santé, Faculty of Sciences/Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Roxanne DaultGroupe de Recherche Interdisciplinaire en Informatique de la Santé, Faculty of Sciences/Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0003-1444-553X
Jean-François EthierGroupe de Recherche Interdisciplinaire en Informatique de la Santé, Faculty of Sciences/Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0001-9408-0109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID42804495
PMCPMC13618911

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.