A systematic review and meta-analysis of attitude and knowledge involving emergency oral contraceptive use in patients and healthcare providers.

BACKGROUND: Levonorgestrel and ulipristal acetate are common emergency oral contraceptives (EOCs). Lack of knowledge and negative attitude toward EOCs pose barriers to the EOCs access and utilization. AIM: This study aimed to summarize the studies on the knowledge and attitudes of healthcare providers and patients on the use of EOCs. METHOD: A systematic search was conducted from conception to April 2022 using the following databases: CINAHL Complete, MEDLINE, ScienceDirect, Scopus, and Thai Journal Online. Data were extracted independently and were meta-analyzed using DerSimonian and Laird method for the binary random-effects model. RESULTS: 121 articles with a total number of 92,484 participants were included. The awareness of levonorgestrel as an EOC was 66.7% while the awareness of ulipristal acetate as an EOC was 36.9%. EOCs users received EOC information mainly from the internet, media, and friends. We found that 32.2% of EOCs users and providers agreed that EOCs acted post-fertilization, and 39.8% of the prescribers know the correct time to take the pill postcoital. Negative attitudes toward EOC use were found in 25.4% of the participants. For example, 39.4% of the participants agreed that EOCs users had increased sexual activity. CONCLUSION: The awareness of EOCs was low and misunderstandings or negative attitudes towards the use or prescription of EOCs were still prevalent. Educating healthcare providers, using media as educational tools, and improving education and economics can be useful in improving EOC users' awareness, knowledge, and attitude towards EOCs.

Predictive risk factors for venous thromboembolism in neurosurgical patients: A retrospective analysis single center cohort study.

Background: Venous thromboembolism (VTE) has a major effect on morbidity and mortality in neurosurgical patients. However, identifying risk factors that may be useful in practice is a challenge. The purpose of this study was to investigate the incidence and determine the predictors of VTE in patients undergoing neurosurgery. Materials and methods: This retrospective, single-center cohort study was conducted on adult patients admitted to a private hospital for a primary elective neurosurgical procedure between January 2015 and December 2020. Univariate analysis was used to examine clinical factors, and multivariable regression analysis was used to identify predictors of VTE. The area under the receiver-operating characteristic (AUROC) curve demonstrated the fitting model and discrimination power. Results: A total of 350 patients who underwent neurological surgery were identified. There were 26 patients (7.4%) with VTE. The final predictors were found to be statistically significant in the multivariate binary logistic regression analysis, including non-Asian populations (p value < 0.001, odds ratio [OR]: 6.11, 95% confidence interval [CI] = 2.20-16.89), lack of postoperative ambulation (p value = 0.009, OR: 9.25, 95% CI = 1.17-48.83), and septic shock complication (p value = 0.001, OR: 5.36, 95% CI = 1.46-19.62). The AUROC was 0.708 (95% CI 0.61-0.80). Conclusion: Although the incidence of VTE in patients receiving neurosurgery is minimal, it is also higher in non-Asian patients, those who lack of postoperative ambulation, and patients with septic shock complications. This approach may be useful to predict thromboembolism in neurosurgical patients. External validation of the prognostic model requires more investigation.

Psychometric properties comparison between EQ-5D-5L and EQ-5D-3L in the general Thai population.

PURPOSE: Evidence for the EQ-5D-5L's psychometric properties in the general Thai population is limited. This study aimed to compare ceiling effect, discriminatory power, response redistribution, validity, reliability between the EQ-5D-5L (5L) and the EQ-5D-3L (3L) in the general Thai population. METHODS: 1200 participants were randomly selected. The Shannon index ([Formula: see text] and Shannon evenness index ([Formula: see text] determining discriminatory power of both EQ-5D versions in each dimension were compared. Test-retest reliability was evaluated using weighted kappa (k) and intraclass correlation coefficients (ICCs). Validity was evaluated by correlations between similar dimensions of the EQ-5D, WHOQOL-BREF, and SF-12v2 and known-groups validity. The ceiling effects for the 3L and for the 5L were compared. RESULTS: The 5L had lower ceiling effects than the 3L (49.08% vs 57.17%, p < 0.01). [Formula: see text] was higher for the 5L than for the 3L, but [Formula: see text] showed otherwise. Moderate correlations were detected between similar dimensions of the EQ-5D and the WHOQOL-BREF and SF-12v2. ICCs and k of the 3L were slightly higher than those of the 5L (ICCs: 0.78 vs 0.71) and (k: 0.42-0.63 vs 0.48-0.61), respectively. Older, female participants and those with comorbidities reported a lower utility index for both versions. CONCLUSION: Evidence supported use of both EQ-5D versions in the general Thai population. The 5L had better ceiling effects and discriminant activity, while it showed comparable known-groups validity with the 3L. Nevertheless, evidence is limited for the superiority of reliability between these two versions, so more future research is required to investigate it.

Predictive Risk Factors for Early Seizures in Traumatic Brain Injury.

Background Early posttraumatic seizure (PTS) is a significant cause of unfavorable outcomes in traumatic brain injury (TBI). This study was aimed to investigate the incidence and determine a predictive model for early PTS. Materials and Methods A prospective cohort study of 484 TBI patients was conducted. All patients were evaluated for seizure activities within 7 days after the injury. Risk factors for early PTS were identified using univariate analysis. The candidate risk factors with p < 0.1 were selected into multivariable logistic regression analysis to identify predictors of early PTS. The fitting model and the power of discrimination with the area under the receiver operating characteristic (AUROC) curve were demonstrated. The nomogram for prediction of early PTS was developed for individuals. Results There were 27 patients (5.6%) with early PTS in this study. The final model illustrated chronic alcohol use (odds ratio [OR]: 4.06, 95% confidence interval [CI]: 1.64-10.07), epidural hematoma (OR: 3.98, 95% CI: 1.70-9.33), and Glasgow Coma Scale score 3-8 (OR: 3.78, 95% CI: 1.53-9.35) as predictors of early PTS. The AUROC curve was 0.77 (95% CI: 0.66-0.87). Conclusions The significant predictors for early PTS were chronic alcohol use, epidural hematoma, and severe TBI. Our nomogram was considered as a reliable source for prediction.