Evidence map›Paper›PMID 41953947›Full record

ArticleEuropean journal of neurology2026

The Role of Digital Tools and Their Implementation Within Patient Care Pathways for Rare Brain Disorders: The Case of Phenylketonuria.

Sara Cannizzo, Vinciane Quoidbach, Bernadette Sheehan-Gilroy, Tobias Hagedorn, Agata Bak, Suzanne L Dickson, Eileen P Treacy, Alvaro Hermida, Anita MacDonald, Eva Venegas and 9 more

Abstract read
In one paragraph

Article in European journal of neurology, 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

19 authors.

Sara CannizzoScuola Superiore Sant'anna, Istituto di Management, Pisa, Italy.
Vinciane QuoidbachEuropean Brain Council, Brussels, Belgium.ORCID https://orcid.org/0000-0002-4554-6432
Bernadette Sheehan-GilroyMunster Technological University Kerry Campus, Tralee, Ireland.
Tobias HagedornGerman PKU and Allied Disorders Patients Association DIG PKU, Fürth, Germany.
Agata BakEuropean Society for Phenylketonuria & Allied Disorders, Hiddenhausen, Germany.
Suzanne L DicksonEuropean Brain Council, Brussels, Belgium.
Eileen P TreacySchool of Medicine, Trinity College, Dublin, Ireland.
Alvaro HermidaUniversidad de Santiago de Compostela, Santiago de Compostela, Spain.
Anita MacDonaldDietetic Department, Birmingham Children's Hospital, Birmingham, UK.ORCID https://orcid.org/0000-0002-2896-3509
Eva VenegasEndocrinology Department, Hospital Virgen del Rocío, Sevilla, Spain.
James O'ByrneNational Centre for Inherited Metabolic Disorders, Mater Misericordiae University Hospital, Dublin, Ireland.
Maurizio ScarpaMetabERN, European Reference Network for Hereditary Metabolic Diseases, Udine, Italy.
Francjan Van SpronsenMetabERN, European Reference Network for Hereditary Metabolic Diseases, Udine, Italy.ORCID https://orcid.org/0000-0002-3773-1929
Eric LangeEuropean Society for Phenylketonuria & Allied Disorders, Hiddenhausen, Germany.
Tim BuckinxEpihunter Farow, Hasselt, Belgium.
Ahmad MonavariNational Centre for Inherited Metabolic Disorders, Mater Misericordiae University Hospital, Dublin, Ireland.
Stephan Vom DahlKlinik f. Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.
Leopoldo TriesteScuola Superiore Sant'anna, Istituto di Management, Pisa, Italy.ORCID https://orcid.org/0000-0003-2236-2419
Giuseppe TurchettiScuola Superiore Sant'anna, Istituto di Management, Pisa, Italy.ORCID https://orcid.org/0000-0002-1877-5459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic accelerated the adoption of digital health solutions in healthcare. Phenylketonuria (PKU) is a rare condition requiring chronic management and frequent assessments, making it a useful model for examining how digital health tools support patient and caregiver education, communication with healthcare professionals and facilities, and patient care pathways.

methodsPatient representatives and expert clinicians developed qualitative, co-designed ad hoc surveys during virtual workshops. From October 2023 to March 2024, the surveys were available online through EUSurvey English, Spanish, and German, and distributed to PKU patients in Spain, Germany, and Ireland by national PKU patient associations.

resultsThe survey co-design process identified crucial topics significant to key stakeholders in rare disease management. Diverse perspectives emerged on the roles and utility of digital tools: (1) rare disease patients may prefer hybrid care models combining face-to-face and digital interactions; (2) digital tools were perceived as particularly useful for supporting information exchange, education, preparation for clinical visits, and patient engagement.

conclusionsThis paper examines unmet needs in digital care pathways for PKU from the perspectives of patients, caregivers, and clinicians. Findings provide important insights into the needs of patients with rare diseases and the most effective channels for engaging and communicating with them. Although clinical and cost-effectiveness were not evaluated, these findings could guide future research and policy discussions on incorporating digital solutions into rare diseases patient care pathways.

Indexed as

Critical PathwaysPhenylketonuriasRare DiseasesCaregiversCOVID-19Digital HealthDigital MediaGermanyHumansdigital patient care pathwaysEuropean Reference Networks for rare diseaseshealthcare professionals' expert opinionpatients' perspectivesphenylketonuria

Identifiers

PMID41953947
PMCPMC13062938

What OpenQuestion holds

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Registered trials

None linked

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.