Evidence map›Paper›PMID 37703470›Full record

ArticleRevista da Escola de Enfermagem da U S P2023

Comparison of patient classification systems for dimensioning nursing staff.

Jéssica Azevedo Guardalupe, Ivana Duarte Brum, Débora Francisco do Canto, Kelly Cristina Milioni Telles, Ana Maria Müller de Magalhães, João Lucas Campos de Oliveira

Abstract read
In one paragraph

Article in Revista da Escola de Enfermagem da U S P, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Pneumothorax: Demographics, Treatment, and Nursing Care.Healthcare (Basel, Switzerland) · 2026
    Article
  3. 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

6 authors.

Jéssica Azevedo GuardalupeUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-1256-6162
Ivana Duarte BrumUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-0805-3652
Débora Francisco do CantoUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0001-9054-0876
Kelly Cristina Milioni TellesUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-4698-487X
Ana Maria Müller de MagalhãesUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-0691-7306
João Lucas Campos de OliveiraUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-1822-2360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare nursing staff workload and dimensioning measured by two patient classification systems.

methodCross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through two different patient classification systems. The dimensioning calculation provided by the standard and descriptive statistics were applied.

resultsOf the total number of patients, 1,248 classifications were performed with each of the classification systems. One of the instruments showed a concentration of demand for minimal care (54.5%) and the other for intermediate care (63.4%). The anticipation of required nursing hours was discrepant (235.58 and 298.16 hours), as well as the projected nursing staff, which was of 53 and 67 workers, respectively.

conclusionMeasurement of workload and dimensioning were different when using two patient classification systems in the same sample. Additional accuracy studies shall be carried out.

Indexed as

InpatientsNursing StaffBrazilCross-Sectional StudiesHospitalsHumans

Identifiers

PMID37703470
PMCPMC10499377

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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.