Objective: The purpose of this study was to retrospectively evaluate the sensitivity, specificity and accuracy of identifying methamphetamine (MA) internal payloads in "drug mules" by plain abdominal digital radiography (DR). Methods:The study consisted of 35 individuals suspected of internal MA drug containers. A total of 59 supine digital radiographs were collected. An overall calculation regarding the diagnostic accuracy for all "drug mules" and a specific evaluation concerning the radiological appearance of drug packs as well as the rate of clearance and complications in correlation with the reader's experience were performed. The gold standard was the presence of secured drug packs in the faeces.Results: There were 16 true-positive "drug mules" identified. DR of all drug carriers for Group 1 (forensic imaging experienced readers, n 5 2) exhibited a sensitivity of 100%, a mean specificity of 76.3%, positive predictive value (PPV) of 78.5%, negative predictive value (NPV) of 100% and a mean accuracy 87.2%. Group 2 (inexperienced readers, n 5 3) showed a lower sensitivity (93.7%), a mean specificity of 86%, a PPV of 86.5%, an NPV of 94.1% and a mean accuracy of 89.5%.

This study explored the baseline knowledge and symptoms associated with endometriosis, educated women about endometriosis, and documented the improvement in endometriosis knowledge. A brief intervention with an educational brochure on endometriosis was administered among 303 female participants. A paired-sample t-test and one-way ANOVA were run to compute endometriosis knowledge scores. In total, 49.5% of the participants had consistent access to annual healthcare, 25.1% were healthcare workers, and 45.2% had an undergraduate education. The entire sample had a pre-test endometriosis knowledge score of 4.2 (SD = 2.48), and the score was 6.3 (SD = 2.3) on the post-test. One-way ANOVA yielded no significant improvement in knowledge scores across the groups with consistent and inconsistent access to annual healthcare, despite a significant overall increase in scores (t = 16.63, df = 302, p < 0.001). We identified a significant improvement in the knowledge concerning endometriosis. Educational strategies among women who are menstruating are essential for addressing diagnostic delays and bridging the endometriosis knowledge gap.