E-Learning Nutrition Education Program for Low-Income Adults: Perspectives of Key Stakeholders

Through focus group interviews, we examined the perceptions of Extension peer nutrition educators (n = 6) and low-income adults (n = 8) regarding the feasibility of an e-learning nutrition education program, titled Food eTalk, tailored to Georgians eligible for Supplemental Nutrition Assistance Program Education (SNAP-Ed). Findings indicated two themes: (a) Participants have regular smartphone-based Internet access, and nutrition education e-learning programs should be designed to match typical smartphone use patterns and (b) recommendations to increase Food eTalk engagement involve carefully selected content and consideration to mandate SNAP-Ed participation. These findings are informing user-centered development of Food eTalk and may be of use to others creating such programs

Development of a Healthful Weight Management Nutrition Education Curriculum for Low-Income Adults

Food Talk: Better U (FTBU) is a healthful weight management curriculum developed by the University of Georgia\u27s Supplemental Nutrition Assistance Program Education (SNAP-Ed) team. FTBU addresses the high burden of obesity among low-income Georgians by focusing on healthful weight management practices. Topics include practicing portion control, tracking dietary intake, setting goals, limiting added sugar, making small healthful behavior shifts, and implementing problem-solving strategies. Lesson structure includes sharing sessions, didactic lessons, cooking demonstrations, and physical activity. FTBU is based on needs assessment results and rigorous evaluation and thereby aligns with requirements outlined in current SNAP-Ed guidance materials. Other Extension SNAP-Ed providers may benefit from understanding the FTBU development and evaluation processes

The Experiences of American Indian Participants and Site Coordinators in a Gestational Diabetes Risk Reduction Trial

Gestational diabetes mellitus is the most common complication of pregnancy and contributes to increased risk for type 2 diabetes in both the mother and offspring. We developed and evaluated a gestational diabetes risk reduction and preconception counseling program, Stopping GDM (SGDM), for American Indian females. The purpose of this study is to examine the experiences of American Indian mother-daughter dyad participants and the site coordinators who facilitated the SGDM randomized controlled trial to inform program revisions. We engaged mother-daughter dyads (n = 22 dyads) and site coordinators (n = 6) in focus group interviews. Four themes emerged: (1) SGDM sparked valuable quality conversation for dyads; (2) gestational diabetes risk factors and risk reduction was new information for most dyads; (3) all trial sites experienced challenges to recruitment and engagement; and (4) study-improvement recommendations. These findings will be used to enhance SGDM to decrease adverse intergenerational health impacts of gestational diabetes in American Indian communities

Serving Their Needs: A Qualitative Examination of Nutrition Policy Implementation in the Early Care and Education Setting

Background: Childhood obesity is a growing problem in the United States and results in increased risk for chronic diseases such as diabetes, heart disease, and hypertension. Thirteen percent of youth in Georgia are obese. Identifying strategies to assist children in establishing healthy habits is essential to reduce the risk of childhood obesity. The Early Care and Education (ECE) setting is ideal for the implementation of obesity prevention practices. However, there are barriers present for implementing nutrition policies in this setting. This report explores the implementation of food and beverage best practices in the ECE setting and highlights barriers to and facilitators for adopting these policies. Methods: We conducted 24 interviews and 6 focus groups with ECE program directors and teachers in 6 regions in Georgia. The statewide sample included directors from child care learning centers, family child care homes, and license-exempt programs. A trained qualitative researcher facilitated focus groups and interviews. Data were audio recorded and transcribed verbatim. Qualitative data analysis software, NVivo 10, was used to code data and identify emergent themes. Results: Several key themes related to barriers to food and beverage policy implementation emerged including the need for: 1) enhanced parent communication, 2) resources to limit juice consumption, and 3) financial support to decrease food costs. Facilitators of nutrition policy implementation included: 1) ease of access to water, 2) children’s preferences for fruits and vegetables, and 3) availability of existing nutrition resources. Findings will inform the development of resources to support nutrition policy implementation as well as policy training for ECE teachers in Georgia. Conclusions: Study themes may provide insight about how to improve current resources and develop new solutions to improve adoption and implementation of nutrition policies in the ECE setting in the future

Respecting Tribal Voices in the Development of a Gestational Diabetes risk reduction preconception counseling program for American Indian/Alaska Native adolescent females: a qualitative study

Background American Indians and Alaska Natives (AI/AN) are disproportionately affected by adolescent obesity, adolescent pregnancy and gestational diabetes mellitus (GDM). GDM is associated with increased risk for perinatal death, obesity, and subsequent type 2 diabetes (T2D) for the offspring. Moreover, mothers with GDM are also at increased risk for T2D post-partum. Yet few lifestyle interventions exist to reduce GDM risk prior to pregnancy. We describe the process of adapting an existing validated preconception counseling intervention for AI/AN adolescent girls at-risk for GDM and their mothers. Perspectives and recommendations were gathered from a diverse array of stakeholders to assure the new program called Stopping GDM was culturally responsive and developed with tribal voices and perspectives represented. Methods We conducted focus groups and individual interviews with multiple AI/AN stakeholders (n = 55). Focus groups and interviews were digitally recorded, transcribed verbatim, and analyzed using a thematic content approach to construct cross-cutting themes across the focus groups and interviews. Results Four key themes emerged reflecting issues important to planning a reproductive health intervention: 1) Limited awareness, knowledge, and health education resources about GDM; 2) The importance of acknowledging traditional AI/AN values and the diversity of traditions and culture among AI/AN tribes; 3) The need to cultivate healthy decision-making skills and empower girls to make safe and healthy choices; and 4) Lack of communication about reproductive health between AI/AN mothers and daughters and between AI/AN women and health care professionals. Conclusion Findings have been used to inform the cultural tailoring and adaptation of an existing preconception counseling program, originally designed for non-AI/AN adolescent girls with diabetes, for AI/AN adolescents at-risk for GDM in future pregnancies

Preoperative Sonographic Prediction of Limited Axillary Disease in Patients with Primary Breast Cancer Meeting the Z0011 Criteria: an Alternative to Sentinel Node Biopsy?

Purpose To assess the accuracy of preoperative sonographic staging for prediction of limited axillary disease (LAD, one or two metastatic lymph nodes) and to identify factors associated with high prediction–pathology concordance in patients with early-stage breast cancer meeting the Z0011 criteria. Materials and Methods Patients treated between January 2015 and January 2020 were included in this retrospective, multicentric analysis of prospectively acquired service databases. The accuracy of LAD prediction was assessed separately for patients with one and two suspicious lymph nodes on preoperative sonography. Test validity outcomes for LAD prediction were calculated for both groups, and a multivariate model was used to identify factors associated with high accuracy of LAD prediction. Results Of 2059 enrolled patients, 1513 underwent sentinel node biopsy, 436 primary and 110 secondary axillary dissection. For LAD prediction in patients with one suspicious lymph node on preoperative ultrasound, sensitivity was 92% (95% CI 87–95%), negative predictive value (NPV) was 92% (95% CI 87–95%), and the false-negative rate (FNR) was 8% (95% CI 5–13%). For patients with two preoperatively suspicious nodes, the sensitivity, NPV, and FNR were 89% (95% CI 84–93%), 73% (62–83%), and 11% (95% CI 7–16%), respectively. On multivariate analysis, the number of suspicious lymph nodes was associated inversely with correct LAD prediction ([OR 0.01 (95% CI 0.01–0.93), p ≤ 0.01]. Conclusions Sonographic axillary staging in patients with one metastatic lymph node predicted by preoperative ultrasound showed high accuracy and a false-negative rate comparable to sentinel node biopsy for prediction of limited axillary disease

ASO Author Reflections: An Alternative to Sentinel-Node Biopsy? Preoperative Sonographic Prediction of Limited Axillary Disease in Breast Cancer Patients Meeting the Z0011 Criteria

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Students' attitudes toward digital learning during the COVID-19 pandemic: a survey conducted following an online course in gynecology and obstetrics

Purpose The purpose of this survey was to assess medical students’ opinions about online learning programs and their preferences for specific teaching formats during COVID 19 pandemic. Methods Between May and July 2020, medical students who took an online gynecology and obstetrics course were asked to fill in a questionnaire anonymously. The questionnaire solicited their opinions about the course, the teaching formats used (online lectures, video tutorials featuring real patient scenarios, and online practical skills training), and digital learning in general. Results Of 103 students, 98 (95%) submitted questionnaires that were included in the analysis. 84 (86%) students had no problem with the online course and 70 (72%) desired more online teaching in the future. 37 (38%) respondents preferred online to traditional lectures. 72 (74%) students missed learning with real patients. All digital teaching formats received good and excellent ratings from > 80% of the students. Conclusion The survey results show medical students’ broad acceptance of the online course during COVID 19 pandemic and indicates that digital learning options can partially replace conventional face-to-face teaching. For content taught by lecture, online teaching might be an alternative or complement to traditional education. However, bedside-teaching remains a key pillar of medical education

Incidence of and risk factors for vaginal cuff dehiscence following total laparoscopic hysterectomy: a monocentric hospital analysis

Purpose Vaginal cuff dehiscence (VCD) is one of the major surgical complications following hysterectomy with data on incidence rates varying largely and studies assessing risk factors being sparse with contradictive results. The aim of this study was to assess the incidence rate of and risk factors for VCD in a homogenous cohort of women treated for benign uterine pathologies via total laparoscopic hysterectomy (TLH) with standardized follow-up. Methods All patients undergoing TLH at the Department of Gynecology and Obstetrics, Saarland University Hospital between November 2010 and February 2019 were retrospectively identified from a prospectively maintained service database. Results VCD occurred in 18 (2.9%) of 617 patients included. In univariate and multivariate analyses, a lower level of surgeon laparoscopic expertise (odds ratio 3.19, 95% confidence interval (CI) 1.0–9.38; p = 0.03) and lower weight of removed uterus (odds ratio 0.99, 95% CI 0.98–0.99; p = 0.02) were associated positively with the risk of VCD. Conclusion In this homogenous cohort undergoing TLH, laparoscopic expertise and uterine weight influenced the risk of postoperative VCD. These findings might help to further reduce the rate of this complication

An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression

Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection.peer-reviewe