Suffolk University

About: Suffolk University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Sugar beet. The organization has 6462 authors who have published 9321 publications receiving 235328 citations.

Moves that matter: Issue selling and organizational change.

Abstract: In this study, we examined 82 accounts of “issue selling” to better understand managers' implicit theories for successfully shaping change from below by directing the attention of top management. T...

Effectiveness of the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cluster randomised controlled trial

Abstract: Objective To evaluate the effectiveness of a structured group education programme on biomedical, psychosocial, and lifestyle measures in people with newly diagnosed type 2 diabetes Design Multicentre cluster randomised controlled trial in primary care with randomisation at practice level Setting 207 general practices in 13 primary care sites in the United Kingdom Participants 824 adults (55% men, mean age 595 years) Intervention A structured group education programme for six hours delivered in the community by two trained healthcare professional educators compared with usual care Main outcome measures Haemoglobin A 1c levels, blood pressure, weight, blood lipid levels, smoking status, physical activity, quality of life, beliefs about illness, depression, and emotional impact of diabetes at baseline and up to 12 months Main results Haemoglobin A 1c levels at 12 months had decreased by 149% in the intervention group compared with 121% in the control group After adjusting for baseline and cluster, the difference was not significant: 005% (95% confidence interval −010% to 020%) The intervention group showed a greater weight loss: −298 kg (95% confidence interval −354 to −241) compared with 186 kg (−244 to −128), P=0027 at 12 months The odds of not smoking were 356 (95% confidence interval 111 to 1145), P=0033 higher in the intervention group at 12 months The intervention group showed significantly greater changes in illness belief scores (P=0001); directions of change were positive indicating greater understanding of diabetes The intervention group had a lower depression score at 12 months: mean difference was −050 (95% confidence interval −096 to −004); P=0032 A positive association was found between change in perceived personal responsibility and weight loss at 12 months (β=012; P=0008) Conclusion A structured group education programme for patients with newly diagnosed type 2 diabetes resulted in greater improvements in weight loss and smoking cessation and positive improvements in beliefs about illness but no difference in haemoglobin A 1c levels up to 12 months after diagnosis Trial registration Current Controlled Trials ISRCTN17844016

Out of Sight But Not Out of Mind: Managing Invisible Social Identities in the Workplace

Abstract: Invisible social identities influence social interaction in distinct ways and create unique dynamics in terms of identity management. We integrate research from the sexuality, illness, and racial diversity literature, as well as the stigma, disclosure, and identity literature, to create a generalized model of invisible identity management. We focus specifically on revealing and passing strategies of identity management and conclude by discussing the implications of invisible differences for diversity research.

The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments

Abstract: There is growing interest in digital PCR (dPCR) because technological progress makes it a practical and increasingly affordable technology. dPCR allows the precise quantification of nucleic acids, facilitating the measurement of small percentage differences and quantification of rare variants. dPCR may also be more reproducible and less susceptible to inhibition than quantitative real-time PCR (qPCR). Consequently, dPCR has the potential to have a substantial impact on research as well as diagnostic applications. However, as with qPCR, the ability to perform robust meaningful experiments requires careful design and adequate controls. To assist independent evaluation of experimental data, comprehensive disclosure of all relevant experimental details is required. To facilitate this process we present the Minimum Information for Publication of Quantitative Digital PCR Experiments guidelines. This report addresses known requirements for dPCR that have already been identified during this early stage of its development and commercial implementation. Adoption of these guidelines by the scientific community will help to standardize experimental protocols, maximize efficient utilization of resources, and enhance the impact of this promising new technology.