Evidence map›Paper›PMID 37180901›Full record

ReviewHeliyon2023

Rationing of nursing care: A concept analysis.

Tayebeh Moradi, Mohsen Adib-Hajbaghery, Mansour Dianati, Fatemeh Moradi

Abstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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.

Tayebeh MoradiTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Mohsen Adib-HajbagheryTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Mansour DianatiTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Fatemeh MoradiDepartment of English Language and Literature, Allameh Tabataba'i University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationing of nursing care (RONC) refers to necessary nursing tasks that nurses refuse or fail to do because of limited time, staffing level, or skill mix. As an important process factor, it affects the quality of patient care. The concept of rationing of nursing care has not yet been clearly defined and analyzed and there are different views regarding this issue. Using Walker and Avant's eight-step method, this concept analysis was conducted to analyze the meaning, attributes, dimensions, antecedents, and consequences of nursing care rationing. The literature was collected by searching in electronic databases including PubMed, ScienceDirect, Web of Science, Scopus, and Google Scholar with no date limitation. Both qualitative and quantitative studies on rationing of nursing care, which were open-access and published in English, were included in this study. Thirty-three articles were investigated in the present study. The four defining attributes of RONC included the duty of performing nursing care, dealing with problems of doing nursing care, decision-making and prioritizing, and outcome. The antecedents included nurse-related, organization-related, care-related, and patient-related antecedents. A theoretical definition and a conceptual model of RONC were developed. The attributes, antecedents, and consequences of RONC identified in this study can be used in nursing education, research, and managerial and organizational planning.

Indexed as

Concept analysisNursingRationing of nursing care

Identifiers

PMID37180901
PMCPMC10172910

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.