Assessment of anastomotic leakage: A Novel System for the Training of Surgeons to Perform a Tubular Anastomosis and Objectively Evaluate Anastomotic Leak

Introduction: Dehiscence of the suture line of an anastomosis can lead to reoperation, temporary or permanent stoma, and even sepsis or death. Few techniques for the laboratory training of tubular anastomosis use ex-vivo animal tissues. We describe a novel model that can be used in the laboratory for the training of anastomosis in tubular tissues and objectively assess any anastomotic leak. [See PDF for complete abstract]

Exploring the Association Between Household Food Insecurity, Parental Self-Efficacy, and Fruit and Vegetable Parenting Practices Among Parents of 5- to 8-Year-Old Overweight Children

Background: Food insecurity may negatively impact children’s nutritional status by affecting parenting quality. Because parents have a strong influence on their children’s eating and food choices, examining the effects of food insecurity on parenting may provide important insights into obesity prevention efforts. Objectives: This study explored whether food insecurity was associated with parental self-efficacy and parenting practices related to fruit and vegetable consumption. Methods: Secondary analysis was performed using baseline data from 31 mothers of 5-8 year old overweight or obese children who had participated in a pilot obesity treatment program. Household food security status, fruit and vegetable parental self-efficacy (modeling/socialization, planning/encouraging and availability/accessibility) and fruit and vegetable parenting practices (structure, responsiveness, non-directive control, and external control) were assessed using validated measures. Students' t-test investigated differences in subscales by food security status. Results: There were no significant differences in fruit and vegetable parenting practices and parental self-efficacy between food secure and insecure groups. There was a trend towards a decrease in parental self-efficacy for making fruit and vegetables available in the home among food insecure parents (p=.06). Conclusions: In this small sample no significant associations were found between food insecurity and fruit and vegetable parenting practices and parental self-efficacy. However, the trend observed in this exploratory analysis supports further hypothesis-driven research with a larger sample size able to detect more subtle differences.

Policy analysis of shifting to the state-run Texas women's health program

During the 82nd Texas legislature, state leaders passed a provision stating that healthcare providers, who perform, promote, or affiliate with providers who perform or promote elective abortion services may not be eligible to participate in the Texas Medicaid Women's Health Program (WHP). The federal government reacted to this new provision by vowing to eliminate its 90% share of program support on the grounds that the provision violated a patient's freedom to choose a provider; a right protected by the Social Security Act. Texas leaders stated that the Women's Health Program would continue without federal support, financed exclusively with state funds.^ The following policy analysis compares the projected impact of the current Medicaid Women's Health Program to the proposed state-run program using the criteria-alternative matrix framework. The criteria used to evaluate the program alternatives include population affected, unintended pregnancy and abortion impact, impact on cervical cancer rate, and state-level government expenditures. Each criterion was defined by selected measures. The population affected was measured by the number of women served in the programs. Government expenditures were measured in terms of payments for program costs, Medicaid delivery costs, and cervical cancer diagnostic costs. Unintended pregnancy impact was measured by the number of projected unplanned pregnancies and abortions under each alternative. The impact on cervical cancer was projected in terms of the number of new cervical cancer cases under each alternative. Differences in the projections with respect to each criterion were compared to assess the impact of shifting to the state-only policy.^ After examining program alternatives, it is highly recommended that Texas retain the Medicaid WHP. If the state does decide to move forward with the state-run WHP, it is recommended that the program run at its previous capacity. Furthermore, for the purpose of addressing the relatively high cervical cancer incidence rate in Texas, incorporating HPV vaccination coverage for women ages 18-26 as part of the Women's Health Program is recommended.^

A simulation study of the effects of small center enrollment in multi -center clinical trials

Multi-center clinical trials are very common in the development of new drugs and devices. One concern in such trials, is the effect of individual investigational sites enrolling small numbers of patients on the overall result. Can the presence of small centers cause an ineffective treatment to appear effective when treatment-by-center interaction is not statistically significant?^ In this research, simulations are used to study the effect that centers enrolling few patients may have on the analysis of clinical trial data. A multi-center clinical trial with 20 sites is simulated to investigate the effect of a new treatment in comparison to a placebo treatment. Twelve of these 20 investigational sites are considered small, each enrolling less than four patients per treatment group. Three clinical trials are simulated with sample sizes of 100, 170 and 300. The simulated data is generated with various characteristics, one in which treatment should be considered effective and another where treatment is not effective. Qualitative interactions are also produced within the small sites to further investigate the effect of small centers under various conditions.^ Standard analysis of variance methods and the "sometimes-pool" testing procedure are applied to the simulated data. One model investigates treatment and center effect and treatment-by-center interaction. Another model investigates treatment effect alone. These analyses are used to determine the power to detect treatment-by-center interactions, and the probability of type I error.^ We find it is difficult to detect treatment-by-center interactions when only a few investigational sites enrolling a limited number of patients participate in the interaction. However, we find no increased risk of type I error in these situations. In a pooled analysis, when the treatment is not effective, the probability of finding a significant treatment effect in the absence of significant treatment-by-center interaction is well within standard limits of type I error. ^