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Insights Into Women and Stroke Risk
TUESDAY, Dec. 11, 2018 -- You might be surprised to learn that stroke is the number three killer of women. Women and men have many of the same risk factors for stroke, but some -- like high blood pressure, migraine with aura, diabetes and stress --...
Source: Drugs.com - Daily MedNews - December 11, 2018 Category: General Medicine Source Type: news

Patient, Doctor, and the Data: Emergence of the Third Player
Amith Vikramr The conventional model of medicine had only two players. The doctor alone had access to all medical information and his encounter with the patient was the only way to obtain health-related information. The dawn of the information age led to a change in the dynamics in this relationship. A consumerist model of healthcare has emerged where doctors partner with patients in managing the patient’s illness. The advances in systems biology, big data and consumer health care electronics will add patient data as a new element to the patient-physician interface. In the next decade, individual patients will generate ...
Source: Society for Participatory Medicine - December 6, 2016 Category: Journals (General) Authors: Nanette Mattox Tags: Newsletter e-patient movement empowered patient Moral Injury participatory medicine Patient Participation Source Type: news

Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2...
Source: BMJ Open - July 30, 2021 Category: General Medicine Authors: Neves, A. L., Pereira Rodrigues, P., Mulla, A., Glampson, B., Willis, T., Darzi, A., Mayer, E. Tags: Open access, Health informatics Source Type: research

Self-management support interventions for persons with chronic disease: an evidence-based analysis.
CONCLUSIONS: The Stanford CDSMP led to statistically significant, albeit clinically minimal, short-term improvements across a number of health status measures (including some measures of health-related quality of life), healthy behaviours, and self-efficacy compared to usual care. However, there was no evidence to suggest that the CDSMP improved health care utilization. More research is needed to explore longer-term outcomes, the impact of self-management on clinical outcomes, and to better identify responders and non-responders. PLAIN LANGUAGE SUMMARY: Self-management support interventions are becoming more common as ...
Source: Ontario Health Technology Assessment Series - December 20, 2015 Category: Journals (General) Tags: Ont Health Technol Assess Ser Source Type: research

How to prevent diabetes from sneaking up on your patients
An AMA Viewpoints post by AMA Board Chair Stephen R. Permut, MD A major health threat has been silently taking hold of 86 million Americans, with 90 percent of them unaware of it. A new public health campaign is about to change that—and you’re the key to helping these patients take their health back. A campaign to prevent type 2 diabetes If you’re not already talking to your patients about prediabetes and the risks associated with it, it’s time to start. People with prediabetes—more than 1 in 3 adults—are at higher risk of developing serious health problems such as type 2 diabetes, heart disease and s...
Source: AMA Wire - January 21, 2016 Category: Journals (General) Authors: Amy Farouk Source Type: news

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning
Conclusions: With statewide EHR datasets, our study prospectively validated an accurate 1-year risk prediction model for incident essential hypertension. Our real-time predictive analytic model has been deployed in the state of Maine, providing implications in interventions for hypertension and related diseases and hopefully enhancing hypertension care.
Source: Journal of Medical Internet Research - January 30, 2018 Category: General Medicine Authors: Chengyin Ye Tianyun Fu Shiying Hao Yan Zhang Oliver Wang Bo Jin Minjie Xia Modi Liu Xin Zhou Qian Wu Yanting Guo Chunqing Zhu Yu-Ming Li Devore S Culver Shaun T Alfreds Frank Stearns Karl G Sylvester Eric Widen Doff McElhinney Xuefeng Ling Source Type: research

AHA News: After Diabetes, Stroke and Heart Attack, She ' s Learning to ' Fight Smart '
THURSDAY, May 21, 2020 (American Heart Association News) -- Hyvelle Ferguson-Davis was reviewing paperwork at her office in Fort Lauderdale, Florida, when the headache started. It grew stronger and stronger and her eyes blurred, making it difficult...
Source: Drugs.com - Daily MedNews - May 21, 2020 Category: General Medicine Source Type: news

Interventions in outside-school hours childcare settings for promoting physical activity amongst schoolchildren aged 4 to 12 years
CONCLUSIONS: Although the review included nine trials, the evidence for how to increase children's physical activity in outside-school hours care settings remains limited, both in terms of certainty of evidence and magnitude of the effect. Of the types of interventions identified, when assessed using GRADE there was low-certainty evidence that multi-component interventions, with a specific physical activity goal may have a small increase in daily moderate-to-vigorous physical activity and a slight reduction in BMI. There was very low-certainty evidence that interventions increase cardiovascular fitness. By contrast there w...
Source: Cochrane Database of Systematic Reviews - October 25, 2021 Category: General Medicine Authors: Rosa Virgara Anna Phillips Lucy K Lewis Katherine Baldock Luke Wolfenden Ty Ferguson Mandy Richardson Anthony Okely Michael Beets Carol Maher Source Type: research

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research