Evidence map›Paper›PMID 40254331›Full record

ArticleBMJ open quality2025

Roads diverge: mapping the journey towards diagnostic health equity.

Lakshmi Krishnan, Yvonne Commodore-Mensah, Kelly T Gleason, David P W Rastall, David E Newman-Toker, Kathy McDonald

Abstract read
In one paragraph

Article in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Lakshmi KrishnanDepartment of Medicine, Georgetown University, Washington, District of Columbia, USA lakshmi.krishnan@georgetown.edu.ORCID http://orcid.org/0000-0002-1224-7380
Yvonne Commodore-MensahSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
Kelly T GleasonSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
David P W RastallSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0002-6374-9073
David E Newman-TokerSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0003-2789-4115
Kathy McDonaldSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

AHRQ HHS R18 HS029350
6 · The paper itself

Abstract

backgroundDiagnostic disparities significantly impact health outcomes, with various factors influencing differential access and treatment across communities. This paper explores the complex landscape of diagnosis and of variable diagnostic journeys, focusing on the multifaceted nature of diagnostic inequities and proposing a socioecological model to understand and address these disparities.

methodsThe authors employed an interdisciplinary approach, synthesising insights from their respective knowledge domains. Through iterative discussions, visual diagramming and narrative development, a new framework was constructed to address the complexity of diagnostic inequities.

resultsThe 'diagnostic environment' model was developed, conceptualising diagnosis beyond the biomedical process to include three levels of influence: atmospheric (broad, pervasive societal factors), surface (direct healthcare interactions) and subterranean (underlying, often invisible societal norms and biases). This model integrates process, social phenomena and multilevel influences to more comprehensively address diagnostic disparities. Two additional frameworks: diagnostic journeys within this environment and issue constellations guiding navigation and intervention were developed.

conclusionsDiagnostic processes are influenced by a range of factors from individual to systemic levels, often leading to significant disparities in health outcomes. The proposed model offers a framework for understanding these disparities and suggests targeted interventions to address them. By integrating diverse perspectives and focusing on multilevel influences, the framework aims to improve diagnostic equity. IMPLICATIONS: This study highlights the need for a more holistic approach to diagnosis, acknowledging the complex interplay of factors that contribute to diagnostic disparities. The socioecological model provides a basis for future research and policy interventions aimed at reducing these disparities and improving overall diagnostic accuracy and equity.

Indexed as

DiagnosisHealth EquityHumansClinical Decision-MakingDelayed DiagnosisDiagnosisDiagnostic errorsHealth Equity

Identifiers

PMID40254331
PMCPMC12010302

What OpenQuestion holds

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LicenceCC BY-NC
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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.