Objectives: Safety culture questionnaires are widely used in healthcare to understand how staff feel at work, their attitudes and views, and the influence this has on safe and high-quality patient care. A known challenge of safety culture questionnaires is achieving high response rates to enhance reliability and validity. This review examines predictors of response rates, explores reasons provided for low response rates and identifies strategies to improve those rates.
Methods: Four bibliometric databases were searched for studies assessing safety culture in hospitals from January 2008 to May 2022. Data were extracted from 893 studies that included a safety culture questionnaire conducted in the hospital setting. Regression was used to predict response rate based on recruitment and data collection methods (incentives, reminders, method of survey administration) and country income classification. Reasons for low response were thematically analysed and used to identify strategies to improve response rates.
Results: Of the 893 studies that used a questionnaire to assess safety culture in hospitals, 75.6% reported a response rate. Response rates varied from 4.2% to 100%, with a mean response rate of 66.5% (SD=21.0). Regression analyses showed that safety culture questionnaires conducted in low-income and middle-income countries were significantly more likely to yield a higher response rate compared with high-income countries. Mode of administration, questionnaire length and timing of administration were identified as key factors. Remote methods of questionnaire data collection (electronic and by post) were significantly less likely to result in a higher response rate. Reasons provided for low response included: survey fatigue, time constraints, and lack of resources.
Conclusion: This review presents strategies for researchers and hospital staff to implement when conducting safety culture questionnaires: principally, distribute questionnaires in-person, during meetings or team training sessions; use a local champion; and consider the appropriate time of distribution to manage survey fatigue.
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http://dx.doi.org/10.1136/bmjopen-2022-065320 | DOI Listing |
JMIR Res Protoc
January 2025
Department of Orthopaedic Surgery, National University Hospital, National University Health System, Singapore, Singapore.
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View Article and Find Full Text PDFPLoS One
January 2025
Ludwig Boltzmann Institute for Digital Health and Patient Safety, Ludwig Boltzmann Gesellschaft, Vienna, Austria.
Introduction: Language barriers within clinical settings pose a threat to patient safety. As a potential impediment to understanding, they hinder the process of obtaining informed consent and uptake of critical medical information. This study investigates the impact of the current use of interpreters, with a particular focus on of engaging laypersons as interpreters, rather than professional interpreters potentially affecting patient safety.
View Article and Find Full Text PDFPLoS One
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Cleopatra Hospital, Cleopatra Hospitals Group-(CHG), Cairo, Egypt.
Background: Increasing healthcare costs, particularly in Low- and Middle-Income Countries (LMICs) like Egypt, highlight the need for rational economic strategies. Clinical pharmacy interventions offer potential benefits by reducing drug therapy problems and associated costs, thereby supporting healthcare system sustainability.
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PLoS One
January 2025
KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Objective: Hypertension, a common chronic disease, often leads to serious complications. While conventional management relies on antihypertensive drugs, which can cause side effects and adherence issues, alternative treatments like herbal medicine are gaining attention. This study examines the efficacy and safety of modified Saengmaeksan, an East Asian herbal remedy, in treating hypertension.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Medicine, Department of Simulation Medicine, Masaryk University, Brno, Czech Republic.
This study aims to provide an updated overview of medical error taxonomies by building on a robust review conducted in 2011. It seeks to identify the key characteristics of the most suitable taxonomy for use in high-fidelity simulation-based postgraduate courses in Critical Care. While many taxonomies are available, none seem to be explicitly designed for the unique context of healthcare simulation-based education, in which errors are regarded as essential learning opportunities.
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