Evidence map›Paper›PMID 34517844›Full record

ArticleBMC family practice2021

Structural equation modeling for identification of patient safety antecedents in primary care.

Katarzyna Kosiek, Iwona Staniec, Maciej Godycki-Cwirko, Adam Depta, Anna Kowalczyk

Abstract read
In one paragraph

Article in BMC family practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Katarzyna KosiekFamily Doctors' Clinic, Pomorska 96, 91-402, Lodz, Poland.ORCID 0000-0003-4788-9567
Iwona StaniecDepartment of Management, Lodz University of Technology, Lodz, Poland. iwona.staniec@p.lodz.pl.ORCID 0000-0002-5580-5450
Maciej Godycki-CwirkoCentre for Family and Community Medicine, Faculty of Health Sciences, Medical University of Lodz, Kopcinskiego 20, 90-153, Lodz, Poland.ORCID 0000-0002-9204-5518
Adam DeptaDepartment of Medical Insurance and Health Care Financing, Medical University of Lodz, Lodz, Poland.ORCID 0000-0001-5957-0794
Anna KowalczykCentre for Family and Community Medicine, Faculty of Health Sciences, Medical University of Lodz, Kopcinskiego 20, 90-153, Lodz, Poland.ORCID 0000-0002-7524-2085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents.

methodsMedical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM).

resultsSEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres.

conclusionsThe integrated safety model described in the study can improve patient safety management.

Indexed as

General PractitionersPatient SafetyFemaleHumansLatent Class AnalysisPrimary Health CareSafety ManagementAntecedents of patient safetyPatient safetyPrimary careSEM

Identifiers

PMID34517844
PMCPMC8439075

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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.