Background: Rare diseases in Europe are defined as diseases with a prevalence of less than 5 per 10,000 people. Despite their individual rarity, the total number of rare diseases is considerable. Rare diseases are often chronic and complex, affecting physical, mental, and neurological health. People with rare diseases face challenges such as delayed diagnosis, limited medical support, and financial burden. Caregivers, usually family members, bear significant physical and emotional burdens. Understanding the experiences of patients with rare disease and their caregivers is critical to effective care, but this is still underresearched. Better support and understanding of the challenges faced by both patients and caregivers is clearly needed. Our study will explore the experiences and needs of people with rare diseases and caregivers of people with rare diseases in relation to accessing health services.
Objective: This study aims to explore the experiences of patients with rare disease and their caregivers with Slovenian health care providers and to create a theoretical model of needs and experiences.
Methods: This is a qualitative thematic analysis study, using the codebook approach. The study will conduct semi-open-ended interviews to understand the experiences and needs of people with rare diseases and caregivers of people with rare diseases in relation to accessing health services. The interview questions will be based on an extensive literature review. Data from the interviews will be analyzed using thematic analysis to identify patterns and build a thematic map. Data will be analyzed by at least 2 coders. To ensure reliability, respondent validation will be conducted and negative cases investigated. Any discrepancies will be resolved by consulting the entire research team until a consensus is reached.
Results: This study was not specifically funded. However, author TČ is supported by grant number P3-0339 from the Slovenian Agency for Research and Innovation. This study was approved by the Medical Ethics Committee of the Republic of Slovenia (0120-47/2022/3), and recruitment is expected to begin in May 2024, with data analysis results anticipated by the end of 2025.
Conclusions: This study will fill an important research gap in Slovenia by exploring the needs and experiences of people living with rare diseases and their caregivers. The results will contribute to the broader field of rare diseases and add knowledge that can inform future research processes and intervention strategies. It also aims to identify neglected areas that have a significant impact on the lives of people with rare diseases. This study is important not only because it addresses the immediate needs of the Slovenian rare disease community, but also because it contributes to a discussion on patient-centered care, health policy design, and the inclusion of psychosocial components in health care.
International Registered Report Identifier (irrid): PRR1-10.2196/53362.
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http://dx.doi.org/10.2196/53362 | DOI Listing |
J Neurol
January 2025
Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Objective: This study aims to evaluate our experience in the diagnosis of hereditary ataxias (HAs), to analyze data from a real-world scenario.
Study Design: This is a retrospective, cross-sectional, descriptive study conducted at a single Italian adult neurogenetic outpatient clinic, in 147 patients affected by ataxia with a suspicion of hereditary forms, recruited from November 1999 to February 2024. A stepwise approach for molecular diagnostics was applied: targeted gene panel (TP) next-generation sequencing (NGS) and/or clinical exome sequencing (CES) were performed in the case of inconclusive first-line genetic testing, such as short tandem repeat expansions (TREs) testing for most common spinocerebellar ataxias (SCA1-3, 6-8,12,17, DRPLA), other forms [Fragile X-associated tremor/ataxia syndrome (FXTAS), Friedreich ataxia (FRDA) and mitochondrial DNA-related ataxia, RFC1-related ataxia/CANVAS] or inconclusive phenotype-guided specific single gene sequencing.
J Neurol
January 2025
Department of Neurology and Neurosciences, Donostia University Hospital, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Spain.
Background: Alpha-actinin-2, a protein with high expression in cardiac and skeletal muscle, is located in the Z-disc and plays a key role in sarcomere stability. Mutations in ACTN2 have been associated with both hypertrophic and dilated cardiomyopathy and, more recently, with skeletal myopathy.
Methods: Genetic, clinical, and muscle imaging data were collected from 37 patients with an autosomal dominant ACTN2 myopathy belonging to 11 families from Spain and Belgium.
J Neurol
January 2025
Sorbonne Université, Assistance Publique, Hôpitaux de Paris, Inserm U974, Department of Internal Medicine and Clinical Immunology, Pitié-Salpêtrière University Hospital, Paris, France.
Objectives: Granulomatous myositis (GM) is a rare entity whose precise clinical features and therapeutic outcomes have not yet been well defined. Given the limited evidence, data from a large cohort of patients is needed to aid in the recognition and management of this condition.
Methods: We retrospectively analyzed our institutional databases to identify patients who had myositis and non-caseating granuloma on muscle biopsy (GM).
J Neurol
January 2025
Department of Neurology, Alfried Krupp Hospital, Essen, Germany.
Cerebral vasculitis is a rare but severe manifestation of neurosarcoidosis (NS) that has received little attention. The aim of the present study was to characterize clinical and diagnostic features as well as potential treatment strategies of cerebral vasculitis related to NS. We assessed 29 patients with cerebral vasculitis related to NS (15 female, mean age at time of diagnosis 45 years, SD = 11.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Integrating multi-omics data may help researchers understand the genetic underpinnings of complex traits and diseases. However, the best ways to integrate multi-omics data and use them to address pressing scientific questions remain a challenge. One important and topical problem is how to assess the aggregate effect of multiple genomic data types (e.
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