RESUMO
BACKGROUND: Gender equity in healthcare ensures equal access to services and resources for all individuals, regardless of gender. Studies show that patients' gender influences their healthcare experiences and decisions, and societal gender preferences impact surgeon selection. Therefore, the objective of this study was to address the surgeons' gender preferences among Saudi Arabia's population. METHODS: This study used a cross-sectional research design and survey methodology to gather data from a representative sample of adults aged 18 and older from the general population in Saudi Arabia. This study used SPSS version 26 for statistical data entry and analysis, employing descriptive and inferential statistics, frequency distributions, descriptive statistics, and multivariate analysis using multiple logistic regression for variables significantly associated with population gender in univariate analysis. RESULTS: This study involved 2085 participants, with 51.2% aged 18-25, 18.4% aged 26-35, 16.7% aged 36-45, and 13.8% aged 45 and above. The majority were Saudi Arabian, with a majority holding a university degree. The majority worked in the healthcare sector, while the remaining 29.7% were unemployed. This study found that there were significant gender preferences among survey respondents for different types of surgical procedures. Male participants preferred male surgeons for routine non-emergency visits and sensitive obstetric, genital, sexual, and minor procedures (p < 0.001). Female participants, on the other hand, had no preference for emergency surgeries and major surgical procedures (p < 0.001). This study found that participants were more likely to prefer female surgeons for regular non-emergency visits to the surgery clinic (p < 0.001; aOR = 2.344). Additionally, participants had a high preference for female surgeons for sensitive cases (p < 0.001; aOR = 7.064) and minor surgical procedures (p < 0.001; aOR = 2.489). CONCLUSION: This study underscores the significance of cognizance and the incorporation of a patient's gender preferences when selecting surgical procedures, thus fostering an environment that is more accommodating and focused on the patient.
RESUMO
BACKGROUND: The Routine Electroencephalography (REEG) records cerebral electrical activity to aid in the diagnosis and classification of Epilepsy. Indiscriminate use of the REEG may lower its clinical yield. The pretest clinical variables contributing to the yield of the REEG outcome have not been well-established in the context of developing healthcare systems where REEG utilization may differ from well-established centers. The aim of this study is to determine the yield of the REEG and the pretest clinical variables predicting the yield of the REEG at a single center in the context of the developing healthcare system in Saudi Arabia. MATERIALS AND METHODS: We reviewed REEG reports at a single center in Jeddah, Saudi Arabia between 2015 and 2018. We collected demographic and clinical data from the patients' electronic files. Patients of age ≥18-year-old were included. We collected age, gender, nationality, the indication for the REEG, co-morbidities, antiseizure medicines (ASMs), and details related to the yield of the REEG (normal or abnormal, epileptiform or non-epileptiform, focality, and the presence of rhythmic or periodic patterns or seizures). RESULTS: We included 500 records. Fifty-nine percent were females. The mean age was 39⯱â¯17 years. Of the recorded REEGs, 42.4% were abnormal, 14.6% of them showing definite epileptiform discharges and 85.4% showing only slowing. Half of the REEGs of individuals previously diagnosed with epilepsy revealed abnormal findings. ASM use was associated with slowing in the REEG (pâ¯<â¯.05). Using logistic regression, history of a previous stroke and use of carbamazepine or lamotrigine were predictors of the presence of abnormalities in the REEG, while use of ≥2 ASMs predicted the presence of epileptiform discharges. Stroke also predicted abnormal slowing alongside increased age. CONCLUSION: The clinical yield of the REEG in this sample of patients from a single institution in the context of a developing healthcare system was relatively low. History of stroke and being on more than one ASM may predict that the REEG will show relevant abnormalities.