Evidence map›Paper›PMID 36581982›Full record

ArticleBMJ open2022

Needs of people with rare diseases that can be supported by electronic resources: a scoping review.

Janet C Long, Stephanie Best, Bróna Nic Giolla Easpaig, Sarah Hatem, Zoe Fehlberg, John Christodoulou, Jeffrey Braithwaite

Open access · goldAbstract readScoping Review
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

30 citing papers in PubMed, 40 citations in OpenAlex.

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  17. Nursing's Role in Advancing Care for Rare Genetic Diseases.The Nursing clinics of North America · 2025
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  19. Observational
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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

7 authors at 3 institutions in 1 country.

Janet C LongAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia janet.long@mq.edu.au.ORCID 0000-0002-0553-682X
Stephanie BestAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Bróna Nic Giolla EaspaigAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0001-6787-056X
Sarah HatemAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Zoe FehlbergAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
John ChristodoulouBrain and Mitochondrial Research Group, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-0296-4957
Macquarie University · AUMurdoch Children's Research Institute · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRare diseases are characterised by low incidence, often with little evidence for effective treatments. Isolated patients and specialist centres for rare diseases are increasingly connected, thanks to the internet. This scoping review aimed to identify issues facing people with a rare disease that authors report may be addressed by electronic resources (mobile applications, websites, social media platforms, telehealth and online portals).

designScoping review guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. DATA SOURCES: Medline, Embase and PsycInfo were searched, supplemented by hand searches of selected journals, in July 2021. ELIGIBILITY CRITERIA: Peer-reviewed literature in English was searched using terms for rare disease (incidence <1:2000), electronic modalities (eg, mobile phone) and patient support terms. No date limit was set. Conference abstracts were included. DATA EXTRACTION AND SYNTHESIS: Data extracted: rare disease/group of diseases, name of the e-resource, need identified in the patient cohort, features of the e-resource, any other findings or observations of interest. From this, a framework was developed synthesising features across diseases and resources.

resultsSeventy-two papers were found (from 383). Fifty-six electronic resources were described in 64 papers, while 12 papers were exploratory studies. Cystic fibrosis (n=28) was the most frequently addressed, followed by haemophilia (n=16).Four domains and 23 subdomains of needs were extracted from the papers. The domains of needs were: support for self-management, access to high-quality information, access to appropriate specialist services, and social support. Subdomains are sometimes related to needs of individual rare diseases (eg, social isolation due to infection risk in people with cystic fibrosis). Fifteen electronic resources were identified that supported parents of children with rare disorders.

conclusionsWhile it can be argued that rare diseases, per se, may be no less distressing or onerous to care for than a high prevalence disease, rare diseases have unique features: the lengthy odyssey to find a diagnosis, then appropriate specialists, the lack of evidence around effective treatments, guidelines or access to knowledgeable general health service providers. Designers of electronic resources are urged to consult key stakeholders to enhance the effectiveness and usability of resources for people with a rare disease.

Indexed as

Cystic FibrosisTelemedicineChildHumansRare DiseasesSocial Supporthealth & safetyorganisation of health servicesquality in health care

Identifiers

PMID36581982
PMCPMC9438091
OpenAlexW4294053791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.