Although diabetes care has been widely established as a single entity, data in older, frail individuals with numerous comorbidities and have limited polymedication. This group accounts for a sizable number of nursing home residents (NHs). We came together as a group of experts with multidisciplinary (endocrinologists, geriatricians, Nurses staff, general practitioners and diabetologists) with real-world practice in this field, which is becoming more and more important globally, to compile practical, straightforward guidance on the managing of senior, fragile patients of diabetes. An Individual Care Plan (ICP), which is presented in layman's terms, is the cornerstone of a patient's diabetes treatment. This is due to the demands placed on personnel of NH (medical coordinator, manager, nurses, and caregiver working at the front lines, and the other caregiver worker which is under training). The actual purpose of this document, which is released when the patient is admitted, is to made prescriptions ensure that given at and followed after admission. It details the need for proper treatment, regular monitoring, and dates and times for essential examinations and testing. This entails keeping tabs on the patient's HbA1c, as well as their blood and urine glucose levels and any complications that may arise from the condition (hypoglycemia, cardiovascular disease, foot disorders, ocular problems, malnutrition, kidney failure and peripheral neuropathy). Consequentially, staff education on the unique challenges of care for an elderly person with diabetes, emergency procedures, and maintaining an up-to-date ICP for use by medical professionals is essential. Keywords: Diabetes care, nursing home, staff nurses

/pdf/individualized-approaches-to-diabetes-care-in-nursing-homes-krwu79oz.pdf

Individualized Approaches to Diabetes Care in Nursing Homes

The advancement of technologies and supplies related to Diabetes Mellitus management has led to a growing production of waste with negative environmental consequences, prompting a call for sustainability in public policies. However, one of the challenges is the management of waste generated by these devices, favoring environmental preservation and the increased use of materials that can be recycled. This paper provides a reflective analysis of current public policy guidelines in Brazil regarding the disposal of healthcare waste. It concludes that a new perspective is needed concerning Brazilian health public policies, coupled with strategies enabling the reprocessing of healthcare waste through a circular economy model. Such an approach would foster innovations in healthcare, aiming for environmental preservation through ecologically sustainable actions to reduce the volume of waste, especially plastics, associated with Diabetes Mellitus treatment in the home context. 

The Challenge in Managing Healthcare Waste in the Treatment of Diabetes Mellitus in Brazil

The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.

Machine Learning Glycemic Predictions for the Hospital Using Electronic Health Record Data

Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 3 to November 5, 2022. Meeting topics included (1) the measurement of glucose, insulin, and ketones; (2) virtual diabetes care; (3) metrics for managing diabetes and predicting outcomes; (4) integration of continuous glucose monitor data into the electronic health record; (5) regulation of diabetes technology; (6) digital health to nudge behavior; (7) estimating carbohydrates; (8) fully automated insulin delivery systems; (9) hypoglycemia; (10) novel insulins; (11) insulin delivery; (12) on-body sensors; (13) continuous glucose monitoring; (14) diabetic foot ulcers; (15) the environmental impact of diabetes technology; and (16) spinal cord stimulation for painful diabetic neuropathy. A live demonstration of a device that can allow for the recycling of used insulin pens was also presented.

Workshop A: Measurement of Glucose, Insulin, and Ketones—Panel 1: Measurement of Glucose Moderators

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Edin

Author Tools

Chat about Author

Papers

Machine Learning Glycemic Predictions for the Hospital Using Electronic Health Record Data

Workshop A: Measurement of Glucose, Insulin, and Ketones—Panel 1: Measurement of Glucose Moderators