Evidence map›Paper›PMID 26603037›Full record

ArticleOrphanet journal of rare diseases2015

High quality, patient centred and coordinated care for Alstrom syndrome: a model of care for an ultra-rare disease.

Stephanie Van Groenendael, Luca Giacovazzi, Fabian Davison, Oliver Holtkemper, Zexin Huang, Qiaoying Wang, Kay Parkinson, Timothy Barrett, Tarekegn Geberhiwot

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Article
  6. Co-Design of a New Integrated Care Model With People Affected by Huntington's Disease: A Mixed Methods Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  7. Case Report: Neuropsychological Profile of a Patient With Intravascular Large B-Cell Lymphoma Following Infection and Vaccination.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  8. Article
  9. Alström syndrome: the journey to diagnosis.Orphanet journal of rare diseases · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective.International journal of environmental research and public health · 2023
    Review
  17. Article
  18. Article
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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

9 authors.

Stephanie Van GroenendaelLondon School of Economics, London, UK. stephanie.vangroenendael@gmail.com.
Luca GiacovazziLondon School of Economics, London, UK. aculgee@gmail.com.
Fabian DavisonLondon School of Economics, London, UK. fabian.davison@hotmail.com.
Oliver HoltkemperOliver Holtkemper, London, UK. oliver.holtkemper@gmx.de.
Zexin HuangLondon School of Economics, London, UK. zexin.huang945@gmail.com.
Qiaoying WangLondon School of Economics, London, UK. chloe@xiaomi.com.
Kay ParkinsonAlstrom UK, London, UK. kay.parkinson@outlook.com.
Timothy BarrettInstitute of Cancer and Genomic Sciences, University of Birmingham, London, UK. T.g.barrett@bham.ac.uk.
Tarekegn GeberhiwotDepartment of Endocrinology, University Hospital of Birmingham, London, UK. targeb@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with rare and ultra-rare diseases make heavy demands on the resources of both health and social services, but these resources are often used inefficiently due to delays in diagnosis, poor and fragmented care. We analysed the national service for an ultra-rare disease, Alstrom syndrome, and compared the outcome and cost of the service to the standard care.

methodsBetween the 9th and 26th of March 2014 we undertook a cross-sectional study of the UK Alstrom syndrome patients and their carers. We developed a semi-structured questionnaire to assess our rare patient need, quality of care and costs incurred to patients and their careers. In the UK all Alstrom syndrome patients are seen in two centres, based in Birmingham, and we systematically evaluated the national service and compared the quality and cost of care with patients' previous standard of care.

resultsOne quarter of genetically confirmed Alstrom syndrome UK patients were enrolled in this study. Patients that have access to a highly specialised clinical service reported that their care is well organised, personalised, holistic, and that they have a say in their care. All patients reported high level of satisfaction in their care. Patient treatment compliance and clinic attendance was better in multidisciplinary clinic than the usual standard of NHS care. Following a variable costing approach based on personnel and consumables' cost, our valuation of the clinics was just under £700/patient/annum compared to the standard care of £960/patient/annum. Real savings, however, came in terms of patients' quality of life. Furthermore there was found to have been a significant reduction in frequency of clinic visits and ordering of investigations since the establishment of the national service.

conclusionsOur study has shown that organised, multidisciplinary "one stop" clinics are patient centred and individually tailored to the patient need with a better outcome and comparable cost compared with the current standard of care for rare disease. Our proposed care model can be adapted to several other rare and ultra-rare diseases.

Indexed as

Quality of LifeAlstrom SyndromeCosts and Cost AnalysisCross-Sectional StudiesHumansPatient-Centered CareRare DiseasesUnited Kingdom

Identifiers

PMID26603037
PMCPMC4657378

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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.