ArticleDigital health
Driving time-based identification of gaps in specialised care coverage: An example of neuroinflammatory diseases in Germany.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability.Annals of clinical and translational neurology · 2026Trial
- Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient-Reported Measures.Annals of clinical and translational neurology · 2026Trial
- Telemedical communication patterns in myasthenia gravis in a remote monitoring study.Neurological research and practice · 2026Article
- Delivering high-quality multiple sclerosis care in Germany: challenges and regional models.Neurological research and practice · 2026Review
- Patient Communication Outside of Visits: Implications for Remote Monitoring and Digital Care Models in Myasthenia Gravis.Muscle & nerve · 2026Article
- Inpatient care for people with multiple sclerosis - a secondary data analysis in Germany between 2019 and 2024.Neurological research and practice · 2026Article
- Direct stroke unit access versus a hub-and-spoke model with telemedicine-assisted CT in Germany: a cross-sectional geospatial analysis.The Lancet regional health. Europe · 2026Article
- MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management.NPJ digital medicine · 2026Review
- Case-Based Lessons on Remote Patient Monitoring in Neurology Using Consumer-Grade Wearables.Journal of central nervous system disease · 2026Article
- The telemedical platform MyaLink for remote monitoring in myasthenia gravis - rationale and protocol for a proof of concept study.Journal of neuromuscular diseases · 2026Article
- Isochrone-based Identification of Gaps in Neurovascular Care in Germany.Clinical neuroradiology · 2025Article
- Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy.Annals of clinical and translational neurology · 2025Observational
- App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study.JMIR formative research · 2025Article
- The PNS Nurse Program: A Health Care Support Concept for Patients With Immune-Mediated Peripheral Nervous System Diseases.Neurology. Clinical practice · 2024Article
- Myasthenia Gravis: utilising cross-platform quantitative content analysis to uncover and validate unmet needs.Frontiers in neurology · 2024Article
- Digital Approaches for Myositis.Current rheumatology reports · 2023Review
- A Study of the Geographic Accessibility of Outpatient Memory Clinics in Germany.Deutsches Arzteblatt international · 2023Article
- Introducing electronic monitoring of disease activity in patients with chronic inflammatory demyelinating polyneuropathy (EMDA CIDP): trial protocol of a proof of concept study.Neurological research and practice · 2023Article
- Mind the gap: a German case study on the discrepancy between geographic accessibility and real-world utilization of botulinum toxin therapy.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Due to the growing complexity in monitoring and treatment of many disorders, disease-specific care and research networks offer patients certified healthcare. However, the networks' ability to provide health services close to patients' homes usually remains vague. Digital Health Technologies (DHTs) help to provide better care, especially if implemented in a targeted manner in regions undersupplied by specialised networks. Therefore, we used a car travel time-based isochrone approach to identify care gaps using the example of the neuroinflammation-focused German healthcare and research networks for multiple sclerosis (MS), myasthenia gravis (MG), myositis and immune-mediated neuropathy. Methods: Excellence centres were mapped, and isochrones for 30, 60, 90 and 120 minutes were calculated. The resulting geometric figures were aggregated and used to mask the global human settlement population grid 2019 to estimate German inhabitants that can reach centres within the given periods. Results: While 96.48% of Germans can drive to an MS-focused centre within one hour, coverage is lower for the rare disease networks for MG (48.3%), myositis (43.1%) and immune-mediated neuropathy (56.7%). Within 120 minutes, more than 80% of Germans can reach a centre of any network. Besides the generally worse covered rural regions such as North-Eastern Germany, the rare disease networks also show network-specific regional underrepresentation. Conclusion: An isochrone-based approach helps identify regions where specialised care is hard to reach, which might be especially troublesome in the case of an often disabled patient collective. Patient care could be improved by focusing deployments of disease-specific DHTs on these areas.
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