Evidence map›Paper›PMID 23810689›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2013

Patient care staffing levels and facility characteristics in U.S. hemodialysis facilities.

Laura A G Yoder, Wenjun Xin, Keith C Norris, Guofen Yan

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

  1. Cardiac Arrest in Outpatient Hemodialysis Units: A National Cross-Sectional Survey of Dialysis Technicians.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Quantifying the Time Used for Renal Dietitian's Responsibilities: A Pilot Study.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2019
    Observational
  8. Article
  9. Observational
  10. Article
  11. Structural Equation Modeling to Explore Patient to Staff Ratios as an Explanatory Factor for Variation in Dialysis Facility Outcomes.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2018
    Observational
  12. Article
  13. Article
  14. Risk Factors for Infection-Related Hospitalization in In-Center Hemodialysis.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Article
  15. Article
  16. Article
  17. Article
  18. Article
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

4 authors at 2 institutions in 1 country.

Laura A G YoderUniversity of Virginia School of Nursing, Charlottesville, VA.
Wenjun Xin
Keith C Norris
Guofen Yan
University of Virginia · USCharles R. Drew University of Medicine and Science · US

Funding

Workshop for Junior Biostatisticians in Health ResearchU54MD007598 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Ali Andalibi, Jose A Torres-Ruiz · 2012 to 2026
$60.0M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Homero Erwin del Pino · 2002 to 2026
$19.7M
TRAINING COREP20MD000182 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI MILBURN, NORWEETA GERMAINE, SHAPIRO, MARTIN F. · 2002 to 2016
$16.5M
Racial Disparity in Quality of Clinical Care in End Stage Renal DiseaseR01DK084200 · NIDDK · UNIVERSITY OF VIRGINIA · PI YAN, GUOFEN · 2010 to 2013
$912k
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NIA NIH HHS P30 AG021684NIA NIH HHS P30AG021684NIDDK NIH HHS 5R01DK084200-02NIDDK NIH HHS R01 DK084200NIMHD NIH HHS P20 MD000182NIMHD NIH HHS P20-MD000182NIMHD NIH HHS U54 MD007598NIMHD NIH HHS U54MD007598
6 · The paper itself

Abstract

backgroundHigher numbers of registered nurses (RNs) per patient have been associated with improved patient outcomes in acute-care facilities. Variation in and associations of patient care staffing levels and hemodialysis facility characteristics have not been examined previously. STUDY

designCross-sectional study using Poisson regression to examine associations between patient care staffing levels and hemodialysis facility characteristics. SETTING &

participants4,800 US hemodialysis facilities in the 2009 Centers for Medicare & Medicaid (CMS) End-Stage Renal Disease Annual Facility Survey (CMS-2744 form). PREDICTORS: Facility characteristics, including profit status, freestanding status, chain affiliation, and geographic region, adjusted for facility size, capacity, functional type, and urbanicity. OUTCOMES: Patient care staffing levels, including ratios of RNs, licensed practical nurses (LPNs), patient care technicians (PCTs), composite staff (RN + LPN + PCT), social workers, and dietitians to in-center hemodialysis patients.

resultsAfter adjusting for background facility characteristics, ratios of RNs and LPNs to patients were 35% (P < 0.001) and 42% (P < 0.001) lower, respectively, but the PCT to patient ratio was 16% (P < 0.001) higher in for-profit than nonprofit facilities (rate ratios of 0.65 [95% CI, 0.63-0.68], 0.58 [95% CI, 0.51-0.65], and 1.16 [95% CI, 1.12-1.19], respectively). Regionally, compared to the Northeast, the adjusted RN to patient ratio was 14% (P < 0.001) lower in the Midwest, 25% (P < 0.001) lower in the South, and 18% (P < 0.001) lower in the West. Even after additional adjustments, the large for-profit chains had significantly lower RN and LPN to patient ratios than the largest nonprofit chain, but a significantly higher PCT to patient ratio. Overall composite staffing levels also were lower in for-profit and chain-affiliated facilities. The patterns hold when hospital-based units were excluded. LIMITATIONS: Nursing hours were not available. Two part-time staff were counted as one full-time equivalent, which may not always be accurate.

conclusionsThe significant variation in patient care staffing levels and its associations with facility characteristics warrants inclusion in future large-scale hemodialysis outcomes studies. End-stage renal disease networks and hemodialysis facilities should attend to quality assurance and performance improvement initiatives that maximize licensed nurse staffing levels in hemodialysis facilities.

Indexed as

Hemodialysis Units, HospitalCenters for Medicare and Medicaid Services, U.S.Cooperative BehaviorCross-Sectional StudiesHealth Services ResearchHumansInterdisciplinary CommunicationNursing Staff, HospitalPatient Care TeamPatient Outcome AssessmentPoisson DistributionRegression AnalysisRenal DialysisStatistics as TopicUnited StatesWorkforceCenters for Medicare & Medicaid (CMS) End-Stage Renal Disease (ESRD) Facility Surveyin-center hemodialysisprofitregionstaffing ratiosUS Renal Data System (USRDS)

Identifiers

PMID23810689
PMCPMC3840051
OpenAlexW2056431525

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.