Objectives: To address the physicians' perspective on case management (CM) for diabetes.
Research Design And Methods: A nested descriptive study in a randomized controlled trial of diabetic patients who had blood pressure >140/90 mm Hg, glycated hemoglobin >9.0%, or lowdensity lipoprotein level >100 mg/dL. Patients received CM (n = 278) versus usual care over a period of 1 year. Surveys were designed to assess physicians' comfort in working with case managers. At the end of the study physicians whose patients were randomized in the trial were mailed these surveys.
Results: A total of 51 of the 72 providers completed the survey (70.8% response rate). The majority of the providers felt very comfortable working with case managers (91.5 %), found treatment provided by CM to be accurate (93.3%),reported that having case managers increased the likelihood of adherence to the treatment regimens (89.4%), and reported overall improved patient satisfaction with CM (93.5%). Seventy-four percent of the providers reported that working with case managers increased the number of patients who were able to achieve therapeutic goals. Almost all providers (99.74%) reported that they will likely consult case managers for management of poorly controlled diabetes.
Conclusions: Co-managing diabetes patients with nurse case managers did not undermine the providers' perceived professional role. In fact, having CM increased the rate of achieving therapeutic goals among patients with diabetes and cardiovascular risk factors.
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J Environ Manage
January 2025
School of Economics and Management, Beijing Jiaotong University, 100091, Beijing, China. Electronic address:
Chinese construction enterprises are at a pivotal point in their transition to sustainable development, with Environmental, Social, and Governance (ESG) emerging as a key driver. However, limited understanding of ESG mechanisms hampers effective management strategies. To address this challenge, this study constructs an ESG introduction mechanism framework based on Bayesian networks and machine learning algorithms.
View Article and Find Full Text PDFInt J Health Plann Manage
January 2025
Emergency Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
The objective of this paper is to explore how an emergency department in Argentina collected patient experience perspectives using varied tools to inform improvement activities. A case report of a mixed-methods assessment of patient experiences to inform quality improvement in an Emergency Department in Argentina. This study was conducted from July 2022 to December 2023 at Hospital Italiano de Buenos Aires, Argentina.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Intermediate care (IC) is prevalent nationwide, but little is known about how to best organize this level of care. Using a 99-item cross-sectional survey assessing four domains (hospital and physical IC features, provider and nurse staffing, monitoring, and interventions/services), we describe the organizational heterogeneity of IC within a five-hospital healthcare system. Surveys were completed by nurse managers from 12 (86%) of 14 IC settings.
View Article and Find Full Text PDFBMC Public Health
January 2025
Rockman Et Al. Cooperative, San Francisco, CA, USA.
Background: The aim of this randomized control trial is to test the impact of providing additional training and support to volunteers who are paired with youth of color in the Big Brothers Big Sisters (BBBS) community-based mentoring program. The aim of the intervention activities is to enhance the capacity of mentors to have more culturally responsive and informed interactions with their mentees of color, thereby strengthening the youth's ethnic/racial identity and abilities to both cope with experiences of racism and contribute to causes that advance social justice.
Methods: Recruitment started in June 2022, with a goal of enrolling 240 dyads (i.
Sci Rep
January 2025
Construction Engineering and Utilities Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.
Effective construction waste (CW) management, mainly concrete, brick, and steel, is a critical challenge due to its significant environmental and economic impacts. This study addresses this challenge by proposing multiple linear regression models to predict waste generation in residential buildings within the Egyptian construction industry, considering the influence of factors such as building design and site management features. Using data from 25 case studies, the models demonstrated high predictive accuracy, with adjusted R² values of 0.
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