Evidence map›Paper›PMID 41386922›Full record

ReviewAdvances in kidney disease and health2025

Quality Metrics in Dialysis: It Takes a Village.

Abhinav Bhalla, Sri Lekha Tummalapalli, Jeffrey Silberzweig

Abstract readReview
In one paragraph

Review in Advances in kidney disease and health, 2025. 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
0cells of the map it votes in
0citing 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

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

3 authors.

Abhinav BhallaDivision of Nephrology & Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY.
Sri Lekha TummalapalliDivision of Nephrology & Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY; Division of Healthcare Delivery Science & Innovation, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY; The Rogosin Institute, New York, NY.
Jeffrey SilberzweigDivision of Nephrology & Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY; The Rogosin Institute, New York, NY. Electronic address: jis2003@nyp.org.

Funding

AHRQ HHS K08 HS028684
6 · The paper itself

Abstract

Dialysis is a specialized therapy rendered by a team of interdisciplinary professionals. Federal regulations mandate that dialysis facility staff, at minimum, include a registered nurse, physician, social worker, and dietitian. To ensure that patients on dialysis receive high-quality care, the Centers for Medicare and Medicaid Services introduced the first federally mandated pay for performance program in January 2012: the ESRD Quality Incentive Program. Quality metrics in the ESRD Quality Incentive Program have continuously evolved, necessitating greater involvement from the dialysis interdisciplinary team. In this article, we discuss the interdisciplinary nature of dialysis facility staffing and highlight the critical role of all care team members in attaining high performance on dialysis quality metrics. In the context of the coronavirus disease 2019 pandemic, we highlight recent staffing challenges and propose strategies to alleviate workforce shortages. Finally, we review 2 major trends: (1) an increased emphasis on home dialysis and (2) calls to address social determinants of health, which will require the interdisciplinary team to assume an even larger role in achieving high-quality care.

Indexed as

COVID-19Kidney Failure, ChronicPatient Care TeamQuality of Health CareRenal DialysisHemodialysis, HomeHumansSARS-CoV-2United StatesInterdisciplinaryQuality Incentive ProgramSocial Determinants

Identifiers

PMID41386922
PMCPMC13329743

What OpenQuestion holds

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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.