Objectives This article reports on results of a qualitative study of social supports and institutional resources utilized by individuals living with diabetes in a high-poverty urban setting. The goal was to examine how access to social capital among low-income populations facilitates and impedes their self-efficacy in diabetes self-management. Methods Semi-structured interviews were conducted with 34 patients with diabetes from a safety net primary care practice in Buffalo, New York. Results Facilitators and barriers to successful self-management were identified in three broad areas: (1) the influence of social support networks; (2) the nature of the doctor-patient relationship; and (3) the nature of patient-health care system relationship. Patients' unmet needs were also highlighted across these three areas. Discussion Participants identified barriers to effective diabetes self-management directly related to their low-income status, such as inadequate insurance, and mistrust of the medical system. It may be necessary for patients to activate social capital from multiple social spheres to achieve the most effective diabetes management.

Objectives This study explores the perceptions, attitudes, and beliefs that inform how people live with diabetes in a high poverty, ethnically diverse neighborhood with a growing population of refugees. The specific research objective was to examine participants’ explanations of how their diabetes began, understandings about the illness, description of symptoms, as well as physical and emotional reactions to the diagnosis. Methods Qualitative design using semi-structured interviews. The transcripts were analyzed using an immersion–crystallization approach. Results Thirty four individuals diagnosed with diabetes for at least 1 year participated. The sample included 14 refugees (from Somalia, Sudan, Burma, or Cuba), eight Puerto Ricans, six non-Hispanic Caucasians, six African-Americans, and two Native Americans. Three broad themes were identified across ethnic groups: (a) the diagnosis of diabetes was unexpected; (b) emotional responses to diabetes were similar to Kubler-Ross’s stages of grief; (c) patients’ understanding of diabetes focused on symptoms and diet. Conclusions Patients were frequently stunned by the diagnosis of diabetes, and expressed emotions associated with the stages of grief including denial, anger, bargaining, depression, and acceptance. Our findings suggest that clinicians might consider addressing the patients’ emotions or grief reaction as an early priority to promote acceptance as a first step to self-management.

Objective: The aim of this research was to estimate the impact of body mass index (BMI) on surgical outcomes in patients undergoing robotic-assisted gynecologic surgery. Materials and Methods: This study was a retrospective review of prospectively collected cohort data for a consecutive series of patients undergoing gynecologic robotic surgery in a single institution. BMI, expressed as kg/m 2 , was abstracted from the medical charts of all patients undergoing robotic hysterectomy. Data on estimated blood loss (EBL), hemoglobin (Hb) drop, procedure time, length of hospital stay, uterine weight, pain-medication use, and complications were also extracted. Results: Two hundred and eighty-one patients underwent robotic operations. Types of procedures were total hysterectomy with or without adnexal excision, and total hysterectomies with lymphadenectomies. Eighty-four patients who were classified as morbidly obese (BMI > 35) were compared with 197 patients who had a BMI of < 35 (nonmorbidly obese). For patients with BMI < 35, and BMI > 35, the mean BMI was 27.1 and 42.5 kg/m 2 ( p < 0.05), mean age was 49 and 50 ( p = 0.45), mean total operative time was 222 and 266 minutes ( p < 0.05), console time 115 and 142 minutes ( p < 0.05), closing time (from undocking until port-site fascia closure) was 30 and 41 minutes ( p < 0.05), EBL was 67 and 79 mL ( p = 0.27), Hb drop was 1.6 and 1.4 ( p = 0.28), uterine weight was 196.2 and 227 g ( p = 0.52), pain-medication use 93.7 and 111 mg of morphine ( p = 0.46), and mean length of stay was 1.42 and 1.43 days (0.9), all respectively. No statistically significant difference was noted between the 2 groups for EBL, Hb drop, LOS, uterine weight, pain-medication use, or complications. The only statistically significant difference was seen in operating times and included docking, console, closing, and procedure times. There were no perioperative mortalities. Morbidity occurred in 24 patients (8%). In the morbidly obese group, there were 6 complications (7%) and, in the nonmorbidly obese group, there were 18 complications (9%). Conclusions: Morbid obesity does not appear to be associated with an increased risk of morbidity in patients undergoing robotically assisted gynecologic surgery. Morbid obesity is associated with increased procedure time, but otherwise appears to have no difference in outcomes. Robotic surgery offered an ideal approach, allowing minimally invasive surgery in these technically challenging patients, with no significant increase in morbidity. J GYNECOL SURG 30:81)

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