Gambian Mothers Lack Obstetric Danger Sign Knowledge, But Educational Intervention Shows Promise.

Background: The Gambia has the 12th highest maternal mortality rate in the world, with 80% of deaths resulting from avoidable causes. Unawareness of pregnancy danger signs (DS) has been shown to be a barrier to seeking obstetric care, while app-based education intervention has shown promise. Objective: We aim to assess patient awareness of DS, identify barriers to awareness, and evaluate potential for implementing smartphone-based technologies for education. Methods: A cross-sectional semi-structured survey was administered to Gambian women (n = 100) across five hospitals/health centers. Data and informed consent were collected via an online survey portal. Analysis included bivariate analysis and descriptive statistics with p < 0.05 significance level. Recall of 0-2 DS per category was classified as "low" knowledge, 3-5 as "moderate" knowledge, and 6+ as "sufficient" knowledge. Cross-category recall was quantified for overall awareness level (0-6 = "low", 7-12 = "moderate", 13+ = "sufficient". N = 28 total DS). Findings: Although 75% of participants (n = 100) self-perceived "sufficient" knowledge of DS, the average recall was only two (SD = 2, n = 11) pregnancy DS, one labor and delivery DS (SD = 1, n = 8), and one postpartum DS (SD = 1, n = 9). Twenty-one women were unable to recall any danger signs. "Low" awareness was identified in 77% of women, while 23%, and 0% of women showed "moderate" and "sufficient" overall awareness, respectively. Education level was significantly correlated with overall danger sign recall (ρ(98) = .243, p = .015) and awareness level (ρ(98) = .265, p = .008). Monthly income was significantly correlated with awareness level (ρ(97) = .311, p = .002). Smartphone ownership was reported by 76% of women, and 97% expressed interest in using app-based video (94%) or provider (93%) teaching. Conclusions: Women had low knowledge of obstetric danger signs, and true awareness of danger signs was remarkably lower than self-perceived knowledge. However, patients exhibited proper healthcare-seeking behavior when danger signs arose. Findings suggest that video- or messaging-based education from local healthcare providers may be effective DS educational interventions.

A Case of Entamoeba histolytica Liver Abscess in an Immigrant Patient.

Entamoeba histolytica is a pathogenic protozoan endemic to Asia, Africa, and Central and South America. However, with increased travel and emigration, it is becoming a common parasitic infection leading to many worldwide deaths. We present a case of a young Hispanic male immigrant with an amebic liver abscess. This case report highlights the complexities of diagnosing and treating E. histolytica infection.

Evaluating implementation of NCCN guideline-directed genetic screening recommendations for patients with pancreatic ductal adenocarcinoma.

PURPOSE: In 2019, the National Comprehensive Cancer Network (NCCN) recommended genetic testing for all patients with pancreatic ductal adenocarcinoma (PDAC). To evaluate the status of implementation of these guidelines in a loco-regional setting, we performed a retrospective, observational study among patients with newly diagnosed PDAC who received oncologic care at Northeast Georgia Medical Center in Georgia. METHODS: Chart abstraction of patients with newly diagnosed PDAC from 1 January 2020 to 31 December 2021 was performed to include information on genetic testing recommendation and completion, and time from diagnosis to testing. The deidentified dataset was then analyzed using appropriate descriptive and associative statistical testing. RESULTS: Of the cohort of 109 patients, 32 (29.4%) completed genetic screening; 16 (14.7%) were screened within 10 days of diagnosis. Among the 77 (70.6%) patients who did not receive genetic screening, 45 (41.3%) were not recommended genetic screening despite treatment intent with standard of care therapy. However, 32 (29.4%) were not recommended genetic screening in conjunction with a desire to pursue palliative care/hospice/or due to terminal illness. CONCLUSIONS: The study highlighted the gap in implementation of NCCN guideline-directed genetic testing in PDAC patients as only a third underwent testing suggesting the need for systematic processes to facilitate testing. The test was more likely to be completed if done early in the course, especially soon after the diagnosis. Research is needed to explore discussing genetic testing for the large proportion of patients who are terminally ill at diagnosis where genetic screening would potentially benefit the family members.

Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopy.

BACKGROUND AND AIMS: High-resolution microendoscopy (HRME) is an optical biopsy technology that provides subcellular imaging of esophageal mucosa but requires expert interpretation of these histopathology-like images. We compared endoscopists with an automated software algorithm for detection of esophageal squamous cell neoplasia (ESCN) and evaluated the endoscopists' accuracy with and without input from the software algorithm. METHODS: Thirteen endoscopists (6 experts, 7 novices) were trained and tested on 218 post-hoc HRME images from 130 consecutive patients undergoing ESCN screening/surveillance. The automated software algorithm interpreted all images as neoplastic (high-grade dysplasia, ESCN) or non-neoplastic. All endoscopists provided their interpretation (neoplastic or non-neoplastic) and confidence level (high or low) without and with knowledge of the software overlay highlighting abnormal nuclei and software interpretation. The criterion standard was histopathology consensus diagnosis by 2 pathologists. RESULTS: The endoscopists had a higher mean sensitivity (84.3%, standard deviation [SD] 8.0% vs 76.3%, P = .004), lower specificity (75.0%, SD 5.2% vs 85.3%, P < .001) but no significant difference in accuracy (81.1%, SD 5.2% vs 79.4%, P = .26) of ESCN detection compared with the automated software algorithm. With knowledge of the software algorithm, the specificity of the endoscopists increased significantly (75.0% to 80.1%, P = .002) but not the sensitivity (84.3% to 84.8%, P = .75) or accuracy (81.1% to 83.1%, P = .13). The increase in specificity was among novices (P = .008) but not experts (P = .11). CONCLUSIONS: The software algorithm had lower sensitivity but higher specificity for ESCN detection than endoscopists. Using computer-assisted diagnosis, the endoscopists maintained high sensitivity while increasing their specificity and accuracy compared with their initial diagnosis. Automated HRME interpretation would facilitate widespread usage in resource-poor areas where this portable, low-cost technology is needed.