Initiatives to reduce postoperative surgical site infections of the head and neck cancer surgery with a special emphasis on developing countries

Introduction: Surgery in patients with head and neck cancers is frequently complicated by multiple stages of procedure that includes significant surgical removal of all or part of an organ with cancer, tissue reconstruction, and extensive neck dissection. Postoperative wound infections, termed ‘surgical site infections’ (SSIs) are a significant impediment to head-and-neck cancer surgery and recovery, and need to be addressed.

Areas covered: Approximately 10–45% of patients undergoing head-and-neck cancers surgery develop SSIs. SSIs can lead to delayed wound healing, increased morbidity and mortality as well as costs. Consequently, SSIs need to be avoided where possible, as even the surgery itself impacts on patients’ subsequent activities and their quality of life, which is exacerbated by SSIs. Several risk factors for SSIs need to be considered to reduce future rates, and care is also needed in the selection and duration of antibiotic prophylaxis.

Expert commentary: Head and neck surgeons should give personalized care especially to patients at high risk of SSIs. Such patients include those who have had chemoradiotherapy and need reconstructive surgery, and patients from lower and middle-income countries and from poorer communities in high income countries, who often have high levels of co-morbidity because of resource constraints.     

Mutations in SOX2 cause anophthalmia-esophageal-genital (AEG) syndrome

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Profiles of Neurological Outcome Prediction Among Intensivists

Background  

Advances in intensive care medicine have increased survival rates of patients with critical neurological conditions. The focus of prognostication for such patients is therefore shifting from predicting chances of survival to meaningful neurological recovery. This study assessed the variability in long-term outcome predictions among physicians and aimed to identify factors that may account for this variability.     

Mood change and empathy decline persist during three years of internal medicine training.

PURPOSE: To examine longitudinal changes in mood and empathy over the course of the internal medicine residency. METHOD: The authors conducted a cohort study of 61 residents who completed the Profile of Mood States (POMS) and the Interpersonal Reactivity Index (IRI) at six time points during their internal medicine residency at a university-based program. (POMS was administered five times, and IRI was administered six times.) The main outcomes measured were trends in mood disturbances and multiple domains of empathy over the three-year residency, and comparisons to norms. RESULTS: Response rates varied from Time 1 to Time 6 (98%, 72%, 79%, 79%, 94%, and 95%, respectively). Interns had better scores on four POMS subscales: Depression-Dejection (p = .0031), Anger-Hostility (p < .0001), Fatigue-Inertia (p < .0001), and Vigor-Activity (p < .0001) compared with later administrations, especially midinternship. By the end of residency all POMS scores were returning towards baseline (effects sizes in the .20 s), but only depression was no longer significantly different. IRI scores showed the decline in Empathic Concern remained over residency whereas Personal Distress peaked midinternship year but approached baseline at the end of residency. Compared with the general population, the graduating residents were less tense, depressed, and confused. Personal Distress was significantly lower than the norm group. CONCLUSIONS: Internal medicine residency presents challenges resulting in common mood disturbances. Although graduating residents appear to be better off than the population norms, some domains of their mood disturbances and empathy never fully recover from their internship year.     

Iowa's High School High Tech Goes to College Program: Preparing Students with Mild Disabilities for Careers in Technology

This paper describes an innovative approach to preparing high school students with mild disabilities for challenging careers in high tech industries, called High School High Tech (HSHT). Iowa's HSHT Goes to College program has three central elements, each of which is discussed in this paper: High School Preparation—assisting students in identifying a suitable high tech career goal; Higher Education Preparation and Supports—assisting students in selecting college/training programs that match their career goal, and in successfully completing their postsecondary programs; Workforce Entry Assistance—linking students with employers and launching their high tech careers. The paper concludes with a presentation of outcomes to date and recommendations for program enhancements. The information presented here is intended to assist education and rehabilitation professionals interested in establishing similar efforts across the nation.     

Meta-analysis of the effects of educational and psychosocial interventions on management of diabetes mellitus

A meta-analysis of the literature of controlled studies of educational and psychosocial interventions in the treatment of diabetes mellitus yielded 93 studies of 7451 patients testing the effects of eight intervention types: (1) didactic education, (2) enhanced education, (3) diet instruction, (4) exercise instruction, (5) self-monitoring instruction, (6) social learning/behavior modification, (7) counseling, and (8) relaxation training. An overall mean effect size (ES) of +0.51 +/- 0.11 was found moderate but significant (P less than 0.05) improvements for all intervention subjects. Physical outcome and knowledge gain were most affected, followed by psychological status and compliance. Diet instruction and social learning interventions showed the strongest (ES = +0.68 +/- 0.58 and ES = +0.57 +/- 0.42, respectively) and relaxation training the weakest (ES = +0.30 +/- 0.74) effects. Associations between study and sample characteristics and mean ES values were explored with type of setting and methodological weaknesses such as single group design and non-random assignment achieving statistical significance. Neither intervention type, number of visits, sex, age, nor type of diabetes were significantly correlated with mean ES values. Implications of these findings for clinical treatment and future research are discussed.