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Record W4414741393 · doi:10.1093/clinchem/hvaf086.183

A-189 Assessment of Patient Safety Culture in Brazilian Diagnostic Network: Analysis of Dimensions, Communication, and Organizational Learning

2025· article· en· W4414741393 on OpenAlexaff
Fernanda Marques, Alessandra Morales, Anna Maximo, Luana Barraqui, Cristiane Pedroso, Geraldine de Melo, Priscila Quiarato

Bibliographic record

VenueClinical Chemistry · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsTeamworkPatient safetySafety cultureOrganizational cultureHealth careAgency (philosophy)Quality managementQuality (philosophy)Data collection

Abstract

fetched live from OpenAlex

Abstract Background The patient safety culture survey is an essential tool for assessing beliefs, values, and behaviors related to patient safety at different levels of a healthcare organization. The main objective is to identify areas for strengthening and improvement opportunities, aiming to promote a safe environment for patients. The survey was conducted by a large Brazilian diagnostic service, using the Medical Office Survey on Patient Safety Culture, developed by the Agency for Healthcare Research and Quality (AHRQ), as the tool. The dimensions assessed, such as teamwork, open communication, organizational learning, and management support, directly influence the quality of care provided. Methods The 2nd edition of the survey was conducted in several stages, including preparation, dissemination, data collection, analysis, and communication of results. Data collection took place between October 2024 and November 2024, with a focus on involving 21,153 eligible professionals. A total of 3,949 responses were received, of which 3,537 were eligible, resulting in a response rate of 17%. When compared to the literature (Sckolnick, 2021) and the 1st edition of the survey conducted in 2022, the expected percentage to make the result representative was a minimum participation of 10% of the eligible audience. Results The survey results indicated that 63% of respondents rated the safety culture as positive, while 21% considered it neutral and 16% negative. The dimensions with the highest percentage of positive responses were Organizational Learning/Continuous Improvement (78%), Teamwork Between Units (75%), Feedback and Communication of Errors (73%), Frequency of Adverse Event Reporting (73%), and Teamwork Within Units (58%). However, some dimensions showed opportunities for improvement, such as Non-Punitive Response to Errors (30% positive responses) and Adequacy of Staffing (41%). It was also observed that 52% of respondents reported never having made a patient safety incident report. The overall perception of safety was considered excellent or very good by 63% of respondents at the institutional level and 60% at the regional level. Compared to the 1st edition conducted in 2022, there was only a 2% difference, with just one dimension showing a decrease in percentage: Teamwork Within Units, which dropped from 76% in 2022 to 58% in 2024. Conclusion The survey highlighted that the safety culture is strong in several dimensions, such as communication and teamwork, but there are still opportunities for improvement, especially regarding non-punitive responses to errors and reporting of safety events. Implementing corrective and preventive actions, with a focus on continuous learning and management support, will be crucial to further strengthen the patient safety culture. Communicating the results and engaging all levels of the organization will be essential to promote a safer and more effective work environment, benefiting both professionals and patients. To overcome these barriers, it is essential to invest in strategies that prioritize the continuous training of professionals, the creation of evidence-based protocols, and the strengthening of leadership committed to patient safety. Adopting practices that encourage an environment of trust and learning, where errors are seen as opportunities for improvement, is also fundamental to consolidating the safety culture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.467
Teacher spread0.442 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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