Background and Aim: Nowadays, patient safety culture is recognized as an important issue in providing high quality services for the patients around the world. Unsafe care and services can lead to mortality, disability, prolonged hospitalization and increased costs of treatment. Therefore, the present study aimed to identify the errors associated with the labels of pathology samples in Qazvin hospitals. Materials and Methods: This descriptive-analytic study was performed on the basis of a census sampling and included samples obtained from the operating rooms of five educational hospitals in Qazvin University of Medical Sciences in 2018. A standard checklist was used to collect information. Our professors and pathologists determined validity and reliability of the checklist by Cronbach's alpha of 0.89. Using SPSS 21 the results were analyzed by statistical indices. Results: Among 1164 biopsy samples, 6425 errors were detected. The highest error rates were related to lack of registration of the patient's age (564 cases; 48.4%), lack of registration of the name of the of the patients' fathers (562 cases; 48.2%), and lack of recording the number of biopsies (558; 47.9%) and the lowest rates of errors included empty container (10 cases; 0.86%), lack of recording the number of specimens (14 cases; 1.2%) and lack of using appropriate fixative (16; 1.37 %) respectively. Conclusion: Regarding the frequency of labeling errors in the pre-analytical phase in the pathology ward, use of bar code imprinted in the sample containers, lack of using paper applications, use of radio frequency chip technology, use of a re-checking system and improvement of communication in the operating rooms can result in reducing these errors.

Background Healthcare workers perform various clinical procedures for COVID-19 patients facing an elevated risk of exposure to SARS-COV-2.This study aimed to assess the healthcare workers’ exposure to COVID-19 in Qazvin, Iran in 2020. Methods We conducted this descriptive-analytical study among all healthcare workers on the frontline of exposure to COVID-19 in Qazvin province. We entered the participants into the study using a multi-stage stratified random sampling method. We utilized a questionnaire, "Health workers exposure risk assessment and management in the context of COVID-19 disease", designed by the World Health Organization (WHO) to collect data. We analyzed data using descriptive and analytical methods with SPSS software version 24. Results The results showed that all participants in the study had occupational exposure to the COVID-19 virus. So of 243 healthcare workers, 186 (76.5%) were at low risk and 57 (23.5%) at high risk of COVID-19 virus infection. Also, from the six domains mentioned in the questionnaire, health workers exposure risk assessment and management in the context of COVID-19 disease, the mean score of the domain of the type of healthcare worker interaction with a confirmed COVID-19 patient, the domain of health worker activities performed on a confirmed COVID-19 patient, the domain of the adherence to infection prevention and control (IPC) during health care interactions, and the domain of the adherence to IPC when performing aerosol-generating procedures in the high-risk group were more than the low-risk group. Conclusion Despite strict WHO guidelines, many healthcare workers are exposed at contracting COVID-19. Therefore, healthcare managers, planners, and policymakers can revise the policies, provide appropriate and timely personal protective equipment, and plan for ongoing training for staff on the principles of infection prevention and control.

Background Most surgical specimen errors occur in the pre-analysis stage, which can be prevented. This study aims to identify errors related to surgical pathology specimens in one of the most comprehensive healthcare centers in Northeast Iran. Methods The present study is descriptive and analytical research conducted cross-sectionally in 2021 at Ghaem healthcare center in the Mashhad University of Medical Sciences on the basis of a census sampling. We used a standard checklist to collect information. Professors and pathologists evaluated the validity and reliability of the checklist using Cronbach’s alpha calculation method of 0.89. We analyzed the results using statistical indices, SPSS 21 software, and the chi-square test. Results Out of 5617 pathology specimens studied, we detected 646 errors. The highest number of errors is the mismatch of the specimen with the label (219 cases; 3.9%) and the non-compliance of the patient’s profile in the specimen sent with the label (129 cases; 2.3%), and the lowest errors are the inappropriate volume of the fixator(24 cases; 0.4%), and they accounted for insufficient sample size (25 cases; 0.4%). Based on Fisher’s exact test results, there was a significant difference between the proportion of errors in different departments and months. Conclusion Considering the frequency of labeling errors in the stage before the analysis in the pathology department, the use of barcode imprinted in specimen containers, the removal of the paper request for pathology, the use of radio frequency chip technology, the use of the rechecking system and improving communication in different departments can be effective in reducing these errors.

Background Adverse events have become a global problem and are an important indicator of patient safety. Patient safety culture is essential in efforts to reduce adverse events in the hospital. This study aimed to investigate the status of the patient safety culture, the frequency of adverse events, and the relationship between them in Qazvin's hospitals in Iran. Methods The present study is a descriptive-analytical study conducted in six hospitals in Qazvin, Iran, in 2020. The study population was nurses working in Qazvin hospitals. We collected data via a patient safety culture questionnaire and an adverse event checklist. Three hundred sixty nurses completed questionnaires. Multiple logistic regression was used to investigate the relationship between variables. Results The highest mean of patient safety culture was related to the organizational learning dimension (3.5, SD = .074) and feedback and communication about errors (3.4, SD = 0.82). The participants gave the lowest score to dimensions of exchanges and transfer of information (2.45,=0.86) and management support for patient safety (2.62,Sd = 0.65). Management's support for patient safety, general understanding of patient safety culture, teamwork within organizational units, communication and feedback on errors, staff issues, and information exchange and transfer were significant predictors of adverse events. Conclusion This study confirms patient safety culture as a predictor of adverse events. Healthcare managers should provide the basis for improving the patient safety culture and reducing adverse events through methods such as encouraging the reporting of adverse events and also holding training courses for nurses.

Background Achieving equity in the distribution of health services is one major goal in the health system. This study aimed to determine equality in distributing health human resources (physicians) in the Qazvin University of Medical Sciences before and after the Health Transformation Plan (HTP) based on the Hirschman-Herfindahl index (HHI). Methods In this descriptive-analytical study, the statistical population was general practitioners (GPs), specialists and subspecialists in the Qazvin University of Medical Sciences from 2011-to 2017. We extracted demographic statistics of the cities from the Statistical Center of Iran. Physicians’ statistics were obtained from the Curative Affairs Deputy at the Qazvin University of Medical Sciences. We assessed inequality using the HHI. Results The highest number of GPs was in 2014, and specialists and subspecialists were in 2017. The lowest number of GPs, specialists, and subspecialists were in 2016, 2011 and 2015. The HHI for GPs in 2011–2017 was between 4300 and 5200. The lowest concentration for specialists before the HTP plan was the cardiologist with 3300, and after the HTP, the internal specialist with 3900. Also, the numerical value of this index for all subspecialty physicians after the HTP was 10,000, the highest level of concentration. Conclusion The values obtained from the HHI index indicate the high concentration and disproportionate and inequitable distribution of human resources in the health sector in this province. The number of specialists in some cities is still much less than acceptable, and some cities even have shortcomings in the critical specialists.