Evidence map›Paper›PMID 41882609›Full record

ArticleBMC nephrology2026

GENEKIDS-PRO: genomic enhancement and patient engagement in nephrology through multidisciplinary kidney genetics clinic implementation and integration in Singapore - a study protocol using a process evaluation framework.

Ru Sin Lim, Edwin Chan Shih-Yen, Sanchalika Acharyya, Chia Wei Lim, Dana Chan Leng Hui, Liuh Ling Goh, Kar Hui Ng, Hui-Lin Chin, Han Kun Wang, Regina Shaoying Lim and 6 more

Abstract read
In one paragraph

Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ru Sin LimDepartment of Renal Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Novena, 308433, Singapore. Ru.sin.lim@nhghealth.com.sg.
Edwin Chan Shih-YenSingapore Clinical Research Institute, Queenstown, Singapore.
Sanchalika AcharyyaClinical Research & Innovation Office, Tan Tock Seng Hospital, Novena, Singapore.
Chia Wei LimMolecular Diagnostic Laboratory, Tan Tock Seng Hospital, Novena, Singapore.
Dana Chan Leng HuiMolecular Diagnostic Laboratory, Tan Tock Seng Hospital, Novena, Singapore.
Liuh Ling GohMolecular Diagnostic Laboratory, Tan Tock Seng Hospital, Novena, Singapore.
Kar Hui NgDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore.
Hui-Lin ChinDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore.
Han Kun WangDepartment of Renal Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Novena, 308433, Singapore.
Regina Shaoying LimDepartment of Renal Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Novena, 308433, Singapore.
Su Mein GohDepartment of Renal Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Novena, 308433, Singapore.
See Cheng YeoDepartment of Renal Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Novena, 308433, Singapore.
Chirag PatelGenetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Erik BirosCollege of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia.
Nick Sevdalis *Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore.
Andrew J Mallett *College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia. Andrew.mallett@health.qld.gov.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic nephrology has emerged as a distinct subspecialty within nephrology with growing evidence supporting its clinical utility and cost-effectiveness across diagnostic, prognostic, and management pathways. Yet significant implementation gaps such as undefined clinic models and outcomes, limited use of implementation science frameworks, ad hoc strategy development, and a narrow focus on diagnostic yield and clinical utility hinder its routine adoption and integration. This research programme aims to systematically design, implement, and evaluate a multidisciplinary kidney genetics clinic model, using a theory-informed and stakeholder-engaged implementation science approach, to translate genomic advances into improved service, patient-reported, and implementation outcomes, and to inform sustainable and scalable kidney genomics care policy.

methodsUsing a interconnected four-part, mixed-methods, multi-frameworks design underpinned by implementation science theory, the research programme will (1) review global kidney genetics clinic models, outcomes, determinants of successful implementation, and implementation strategies; (2) assess local stakeholder perceptions, priorities and contextual determinants using Consolidated Framework for Implementation Research (CFIR)-guided qualitative inquiry; (3) co-design and refine tailored implementation strategies via Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change (CFIR-ERIC) mapping and hybrid participatory methods; and (4) evaluate the clinic’s service, patients, and implementation outcomes in a prospective effectiveness-implementation hybrid type 2 quasi-experimental interrupted time-series study design. Outcomes assessed include (1) service outcomes (diagnostic yield, clinical utility, and timeliness of care); (2) patient-reported outcomes (personal utility, patient-reported outcome measures); and (3) Proctor-defined implementation outcomes (acceptability, appropriateness, readiness, feasibility, and fidelity, and penetration). We will measure outcomes longitudinally across pre-implementation, implementation, and post-implementation phases, and analyse data using segmented regression analysis to assess changes in outcomes over time. The Implementation Research Logic Model (IRLM) will guide evaluation and adaptation throughout. DISCUSSION: This programme is designed to address critical implementation gaps between genomic evidence and clinical practice. Through four sequential studies, the programme will generate standardised kidney genetics clinic models and care pathways, evidence-informed implementation determinants, and context-tailored, co-designed implementation strategies. Taken together, this programme will establish a policy-relevant genetic nephrology care model with improved service, patient-reported, and implementation outcomes for the benefit of patients and families living with genetic kidney disease.

Indexed as

GenomicsKidney DiseasesNephrologyPatient ParticipationHumansImplementation ScienceSingaporeGenetic kidney diseaseGenetic nephrologyImplementation scienceKidney genetics clinicKidney genomics careNephrogenetics

Identifiers

PMID41882609
PMCPMC13141579

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.