Evidence map›Paper›PMID 34360039›Full record

ArticleInternational journal of environmental research and public health2021

Using Dominance Analysis to Identify the Most Important Dimensions of Safety Culture for Predicting Patient Safety.

Seung Eun Lee, V Susan Dahinten

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Supermarket politics: personality and political consumerism.International political science review : IPSR = Revue internationale de science politique = RISP · 2026
    Article
  4. Article
  5. Article
  6. Article
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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

2 authors.

Seung Eun LeeMo-Im KIM Nursing Research Institute, College of Nursing, Yonsei University, Seoul 03722, Korea.ORCID 0000-0002-4173-3337
V Susan DahintenSchool of Nursing, University of British Columbia, Vancouver, BC V6T 2B5, Canada.ORCID 0000-0002-5469-922X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have demonstrated associations between safety culture and patient safety based on the perceptions of healthcare professionals, but limited attention has been given to the perceptions of nurses. Moreover, most studies have used regression modeling, an approach that limits researchers' ability to identify the most important predictors of patient safety due to intercorrelations among predictors in the model. Therefore, the purpose of this study was to examine the effects of seven dimensions of safety culture on nurse-rated patient safety and identify the relative importance of these dimensions for predicting patient safety. This correlational study used data from the Agency for Healthcare Research and Quality's 2018 Hospital Survey on Patient Safety Culture. Data from 13,031 nurses working in surgical areas of 443 hospitals in the United States were examined using logistic regression and dominance analysis. Staffing adequacy was the strongest predictor of patient safety, followed by hospital management support for patient safety and organizational learning/continuous improvement. However, dominance analysis showed that hospital management support for patient safety was the most important predictor rather than staffing adequacy. Nurse managers and hospital administrators should role model a culture of safety and demonstrate their valuing of patient safety by providing sufficient resources, listening to and valuing staff suggestions regarding patient safety, and providing feedback about organizational changes to improve patient safety.

Indexed as

Hospital AdministrationNurse AdministratorsAttitude of Health PersonnelCross-Sectional StudiesHumansOrganizational CulturePatient SafetySafety ManagementSurveys and QuestionnairesUnited Statesdominance analysisnursespatient safetypatient safety culture

Identifiers

PMID34360039
PMCPMC8345389

What OpenQuestion holds

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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.