Evidence map›Paper›PMID 36292804›Full record

ArticleGenes2022

Theory Designed Strategies to Support Implementation of Genomics in Nephrology.

Arushi Kansal, Catherine Quinlan, Zornitza Stark, Peter G Kerr, Andrew J Mallett, Chandni Lakshmanan, Stephanie Best, Kushani Jayasinghe

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Contextual factors of implementing APOL1 genetic testing into living kidney donor clinical evaluation.Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Article
  8. Article
  9. Article
  10. The Role of Genetic Testing in Adult CKD.Journal of the American Society of Nephrology : JASN · 2024
    Article
  11. 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

8 authors at 5 institutions in 1 country.

Arushi KansalDepartment of Nephrology, Monash Health, Melbourne 3168, Australia.ORCID 0000-0002-1571-3391
Catherine QuinlanKidney Regeneration, Murdoch Children's Research Institute, Melbourne 3052, Australia.
Zornitza StarkThe KidGen Collaborative, Australian Genomics Health Alliance, Melbourne 3052, Australia.ORCID 0000-0001-8640-1371
Peter G KerrDepartment of Nephrology, Monash Health, Melbourne 3168, Australia.
Andrew J MallettThe KidGen Collaborative, Australian Genomics Health Alliance, Melbourne 3052, Australia.ORCID 0000-0002-8752-2551
Chandni LakshmananNorthern Health, Melbourne 3076, Australia.
Stephanie BestAustralian Genomics Health Alliance, Melbourne 3052, Australia.
Kushani JayasingheDepartment of Nephrology, Monash Health, Melbourne 3168, Australia.
Monash Health · AUThe University of Melbourne · AUNorthern Health · AURoyal Children's Hospital · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Genomic testing is increasingly utilized as a clinical tool; however, its integration into nephrology remains limited. The purpose of this study was to identify barriers and prioritize interventions for the widespread implementation of genomics in nephrology. (2) Methods: Qualitative, semi-structured interviews were conducted with 25 Australian adult nephrologists to determine their perspectives on interventions and models of care to support implementation of genomics in nephrology. Interviews were guided by a validated theoretical framework for the implementation of genomic medicine-the Consolidated Framework of Implementation Research (CFIR). (3) Results: Nephrologists were from 18 hospitals, with 7 having a dedicated multidisciplinary kidney genetics service. Most practiced in the public healthcare system (n = 24), a large number were early-career (n = 13), and few had genomics experience (n = 4). The top three preferred interventions were increased funding, access to genomics champions, and education and training. Where interventions to barriers were not reported, we used the CFIR/Expert Recommendations for Implementing Change matching tool to generate theory-informed approaches. The preferred model of service delivery was a multidisciplinary kidney genetics clinic. (4) Conclusions: This study identified surmountable barriers and practical interventions for the implementation of genomics in nephrology, with multidisciplinary kidney genetics clinics identified as the preferred model of care. The integration of genomics education into nephrology training, secure funding for testing, and counselling along with the identification of genomics champions should be pursued by health services more broadly.

Indexed as

NephrologyAustraliaGenomicsgenomicsnephrologytheory designed strategies

Identifiers

PMID36292804
PMCPMC9601730
OpenAlexW4307958613

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.