Patient safety climate research in primary care dentistry: A systematic scoping review.

BACKGROUND: Patient safety climate constitutes an important element for quality improvement. Its current evidence base has been generated in hospital settings in developed countries. Studies in dentistry are limited. OBJECTIVE: To systematically explore the evidence regarding assessing patient safety climate in dentistry. METHODS: We developed a search strategy to explore MEDLINE, SCOPUS, and Web of Science databases from January 1st, 2002, to December 31st, 2022, to include observational studies on patient safety culture or patient safety climate assessment. Methodological features and item data concerning the dimensions employed for assessment were extracted and thematically analyzed. Reported scores were also collected. RESULTS: Nine articles out of 5584 were included in this study. Most studies were generated from high-income economies. Our analysis revealed methodological variations. Non-randomized samples were employed (ranging from 139 to 656 participants), and response rates varied from 28% to 93.7%. Three types of measurement instruments have been adapted to assess patient safety climate. These mainly consisted of replacing words or rewording sentences. Only one study employed an instrument previously validated through psychometric methods. In general, patient safety climate levels were either low or neutral. Only one study reported scores equal to or greater than 75. DISCUSSION: Despite diverse assessment tools, our two-decade analysis reveals a lag compared with medicine, resulting in methodological variations for assessing patient safety climate. Collaboration is vital to elevate standards, prioritize patient safety across oral healthcare services, and advocate for integrating safety climate into local and national quality and patient safety strategies.

Intra-urban variability of long-term exposure to PM2.5 and NO2 in five cities in Colombia.

Rapidly urbanizing cities in Latin America experience high levels of air pollution which are known risk factors for population health. However, the estimates of long-term exposure to air pollution are scarce in the region. We developed intraurban land use regression (LUR) models to map long-term exposure to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) in the five largest cities in Colombia. We conducted air pollution measurement campaigns using gravimetric PM2.5 and passive NO2 sensors for 2 weeks during both the dry and rainy seasons in 2021 in the cities of Barranquilla, Bucaramanga, Bogotá, Cali, and Medellín, and combined these data with geospatial and meteorological variables. Annual models were developed using multivariable spatial regression models. The city annual PM2.5 mean concentrations measured ranged between 12.32 and 15.99 µg/m3 while NO2 concentrations ranged between 24.92 and 49.15 µg/m3. The PM2.5 annual models explained 82% of the variance (R2) in Medellín, 77% in Bucaramanga, 73% in Barranquilla, 70% in Cali, and 44% in Bogotá. The NO2 models explained 65% of the variance in Bucaramanga, 57% in Medellín, 44% in Cali, 40% in Bogotá, and 30% in Barranquilla. Most of the predictor variables included in the models were a combination of specific land use characteristics and roadway variables. Cross-validation suggests that PM2.5 outperformed NO2 models. The developed models can be used as exposure estimate in epidemiological studies, as input in hybrid models to improve personal exposure assessment, and for policy evaluation.