Evidence map›Paper›PMID 39143641›Full record

ArticleOrphanet journal of rare diseases2024

Time to diagnosis for a rare disease: managing medical uncertainty. A qualitative study.

Christine Phillips, Anne Parkinson, Tergel Namsrai, Anita Chalmers, Carolyn Dews, Dianne Gregory, Elaine Kelly, Christine Lowe, Jane Desborough

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Repercussions of Diagnostic Delay in Rare Diseases.Journal of genetic counseling · 2026
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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.

Christine PhillipsSchool of Medicine and Psychology, Australian National University, 54 Mills Road, Canberra, 2601, ACT, Australia.
Anne ParkinsonDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia. anne.parkinson@anu.edu.au.ORCID 0000-0001-9053-0707
Tergel NamsraiDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Anita ChalmersDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Carolyn DewsDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Dianne GregoryDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Elaine KellyDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Christine LoweDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
Jane DesboroughDepartment of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.

Funding

Department of Health and Aged Care, Australian Government 4-G60XELC.
6 · The paper itself

Abstract

backgroundPeople with a rare disease commonly experience long delays from the onset of symptoms to diagnosis. Rare diseases are challenging to diagnose because they are clinically heterogeneous, and many present with non-specific symptoms common to many diseases. We aimed to explore the experiences of people with myositis, primary immunodeficiency (PID), and sarcoidosis from symptom onset to diagnosis to identify factors that might impact receipt of a timely diagnosis.

methodsThis was a qualitative study using semi-structured interviews. Our approach was informed by Interpretive Phenomenological Analysis (IPA). We applied the lens of uncertainty management theory to tease out how patients experience, assess, manage and cope with puzzling and complex health-related issues while seeking a diagnosis in the cases of rare diseases.

resultsWe conducted interviews with 26 people with a rare disease. Ten participants had been diagnosed with a form of myositis, 8 with a primary immunodeficiency, and 8 with sarcoidosis. Time to diagnosis ranged from 6 months to 12 years (myositis), immediate to over 20 years (PID), and 6 months to 15 years (sarcoidosis). We identified four themes that described the experiences of participants with a rare disease as they sought a diagnosis for their condition: (1) normalising and/or misattributing symptoms; (2) particularising by clinicians; (3) asserting patients' self-knowledge; and (4) working together through the diagnosable moment.

conclusionsManaging medical uncertainty in the time before diagnosis of a rare disease can be complicated by patients discounting their own symptoms and/or clinicians discounting the scale and impact of those symptoms. Persistence on the part of both clinician and patient is necessary to reach a diagnosis of a rare disease. Strategies such as recognising pattern failure and accommodating self-labelling are key to diagnosis.

Indexed as

Qualitative ResearchRare DiseasesAdolescentAdultAgedDelayed DiagnosisFemaleHumansMaleMiddle AgedMyositisSarcoidosisUncertaintyYoung AdultDiagnosis delayInterpretive phenomenological analysisMyositisPrimary immune deficiencyPrimary immunodeficienciesQualitativeRare diseasesUncertaintyUncertainty management theory

Identifiers

PMID39143641
PMCPMC11323401

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.