Evidence map›Paper›PMID 38457178›Full record

ArticleJAMA network open2024

Patient Care Technician Staffing and Outcomes Among US Patients Receiving In-Center Hemodialysis.

Laura C Plantinga, Alexis A Bender, Megan Urbanski, Clarica Douglas-Ajayi, Jennifer Craft Morgan, Karen Woo, Bernard G Jaar

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Error in Methods.JAMA network open · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 1 country.

Laura C PlantingaDivision of Rheumatology, Department of Medicine, University of California, San Francisco.
Alexis A BenderDivision of Geriatrics and Gerontology, Department of Medicine, Emory University, Atlanta, Georgia.
Megan UrbanskiDivision of Transplantation, Department of Surgery, Emory University, Atlanta, Georgia.
Clarica Douglas-AjayiNational Association of Nephrology Technicians/Technologists, Dayton, Ohio.
Jennifer Craft MorganGerontology Institute, Georgia State University, Atlanta.
Karen WooDepartment of Surgery, University of California, Los Angeles.
Bernard G JaarDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Emory University · USAmerican Society of Nephrology · USGeorgia State University · USJohns Hopkins University · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · US

Funding

Role of the Patient Care Technician in DialysisR03HS029245 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PLANTINGA, LAURA · 2022 to 2023
$100k
AHRQ HHS R03 HS029245
6 · The paper itself

Abstract

Importance: Dialysis patient care technicians (PCTs) play a critical role in US in-center hemodialysis (HD) care, but little is known about the association of PCT staffing with patient outcomes at US HD facilities. Objective: To estimate the associations of in-center HD patient outcomes with facility-level PCT staffing. Design, Setting, and Participants: This was a retrospective cohort study, with data analysis performed from March 2023 to January 2024. Data on US patients with end-stage kidney disease and their treatment facilities were obtained from the US Renal Data System. Participants included patients (aged 18-100 years) initiating in-center HD between January 1, 2016, and December 31, 2018, who continued receiving in-center HD for 90 days or more and had data on PCT staffing at their initial treating HD facility. Exposure: Facility-level patient-to-PCT ratios (number of HD patients divided by the number of PCTs reported by the treating facility in the prior year), categorized into quartiles (highest quartile denotes the highest PCT burden). Main Outcomes and Measures: Patient-level outcomes included 1-year patient mortality, hospitalization, and transplantation. Associations of outcomes with quartile of patient-to-PCT ratio were estimated using incidence rate ratios (IRRs) from mixed-effects Poisson regression, with adjustment for patient demographics and clinical and facility factors. Results: A total of 236 126 patients (mean [SD] age, 63.1 [14.4] years; 135 952 [57.6%] male; 65 945 [27.9%] Black; 37 777 [16.0%] Hispanic; 153 637 [65.1%] White; 16 544 [7.0%] other race; 146 107 [61.9%] with diabetes) were included. After full adjustment, the highest vs lowest quartile of facility-level patient-to-PCT ratio was associated with a 7% higher rate of patient mortality (IRR, 1.07; 95% CI, 1.02-1.12), a 5% higher rate of hospitalization (IRR, 1.05; 95% CI, 1.02-1.08), an 8% lower rate of waitlisting (IRR, 0.92; 95% CI, 0.85-0.98), and a 20% lower rate of transplant (IRR, 0.80; 95% CI, 0.71-0.91). The highest vs lowest quartile of patient-to-PCT ratio was also associated with an 8% higher rate of sepsis-related hospitalization (IRR, 1.08; 95% CI, 1.03-1.14) and a 15% higher rate of vascular access-related hospitalization (IRR, 1.15; 95% CI, 1.03-1.28). Conclusions and Relevance: These findings suggest that initiation of treatment in facilities with the highest patient-to-PCT ratios may be associated with worse early mortality, hospitalization, and transplantation outcomes. These results support further investigation of the impact of US PCT staffing on patient safety and quality of US in-center HD care.

Indexed as

Kidney Failure, ChronicRenal DialysisFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesWorkforce

Identifiers

PMID38457178
PMCPMC10924248
OpenAlexW4392597320

What OpenQuestion 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 OpenQuestion graph.