Evidence map›Paper›PMID 40474130›Full record

ArticleBMC health services research2025

Portuguese cross-cultural adaptation and validation of the hospital survey on patient safety culture 2.0.

Elsa Freitas, Carina Silva, Margarida Eiras

Abstract readValidation Study
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

3 authors.

Elsa FreitasSantarém District Hospital, Santarém, Portugal. elsamariza@gmail.com.
Carina SilvaCentro de Estatística e Aplicações, Universidade de Lisboa, Lisbon, Portugal.
Margarida EirasSchool of Health Technologies of Lisbon, Polytechnic Institute of Lisbon, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs patient safety continues to be a global priority, it is crucial to emphasize the assessment and development of Patient Safety Culture [PSC] to advance healthcare quality and safety initiatives worldwide. This study focused on the assessment of PSC in Portuguese hospitals, specifically through the translation and cultural adaptation of the Hospital Survey on Patient Safety Culture 2.0 [HSOPSC 2.0] for the Portuguese context.

methodsThe study followed a two-phase design, encompassing the translation, cultural adaptation, and psychometric evaluation of HSOPSC 2.0. A total of 2,604 fully completed questionnaires were collected. The sample consisted of seven public hospitals from different regions of Portugal, ensuring broad representation within the Portuguese National Health System. Translation process include four stages: forward translation, back translation, expert panel review, and pre-testing. Instrument reliability was assessed using Cronbach’s alpha coefficients and Exploratory Factor Analysis (EFA). Construct validity was evaluated through Confirmatory Factor Analysis (CFA), while convergent and discriminant validity were examined using Average Variance Extracted (AVE) and Pearson’s correlation coefficients, respectively.

resultsThe Portuguese translated version of the HSOPSC 2.0 [PT-HSOPSC 2.0] demonstrated good internal consistency, with Cronbach’s alpha values ranging from 0.63 to 0.88, and factor loadings above 0.80 indicating strong factor reliability. CFA results supported the adequacy of the model fit: χ²/df = 4.64, p < 0.01; RMSEA = 0.05; CFI = 0.93; GFI = 0.90; TLI = 0.91; PCFI = 0.78; PGFI = 0.71. The instrument demonstrated good convergent validity, with AVE values at or above 0.50. Strengths included “Teamwork” and “Management Support for Patient Safety”, whereas “Open Communication” and “Hospital Management” were identified as areas requiring improvement. Overall, the PT-HSOPSC 2.0 demonstrated robust psychometric properties, confirming its suitability for assessing PSC in Portuguese hospitals.

conclusionThis study contributes to enhancing PSC assessment in Portuguese healthcare settings, by providing a translated and validated version of the HSOPSC 2.0 adapted to the Portuguese context. Findings support that PT-HSOPSC 2.0 is a reliable and valid tool for evaluating PSC in Portuguese healthcare settings.

Indexed as

Hospitals, PublicOrganizational CulturePatient SafetySafety ManagementCross-Cultural ComparisonHumansPortugalPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslationsHSOPSC 2.0Patient safety cultureReliabilityValidity

Identifiers

PMID40474130
PMCPMC12139327

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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.