scholarly journals Quantitative ultrasound and risk factor enquiry as predictors of postmenopausal osteoporosis: comparative study in primary care

BMJ ◽  
2003 ◽  
Vol 326 (7401) ◽  
pp. 1250-1251 ◽  
Author(s):  
J. Hodson
Keyword(s):  
Primary Care ◽  
Risk Factor ◽  
Comparative Study ◽  
Postmenopausal Osteoporosis ◽  
Quantitative Ultrasound

scholarly journals Patient perspectives on tablet-based technology to collect risk factor information in primary care

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Leanne Kosowan ◽  
Alan Katz ◽  
Gayle Halas ◽  
Alexander Singer
Keyword(s):  
Primary Care ◽  
Information Technology ◽  
Risk Factor ◽  
Risk Behaviours ◽  
Patient Risk ◽  
Self Reflection ◽  
Primary Care Clinics ◽  
User Friendly ◽  
The Impact ◽  
Risk Factor Information

Abstract Background Primary care provides an opportunity to introduce prevention strategies and identify risk behaviours. Algorithmic information technology such as the Risk Factor Identification Tool (RFIT) can support primary care counseling. This study explores the integration of the tablet-based RFIT in primary care clinics to support exploration of patient risk factor information. Methods Qualitative study to explore patients’ perspectives of RFIT. RFIT was implemented in two primary care clinics in Manitoba, Canada. There were 207 patients who completed RFIT, offered to them by eight family physicians. We conducted one-on-one patient interviews with 86 patients to capture the patient’s perspective. Responses were coded and categorized into five common themes. Results RFIT had a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Patients reported that the tablet-based RFIT provided a user-friendly interface that enabled self-reflection while in the waiting room. Patients discussed the impact of RFIT on the patient-provider interaction, utility for the clinician, their concerns and suggested improvements for RFIT. Among the patients who used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 min of PA a week, and 8.2% lived in poverty. Conclusion RFIT is a user-friendly tool for the collection of patient risk behaviour information. RFIT is particularly useful for patients lacking continuity in the care they receive. Information technology can promote self-reflection while providing useful information to the primary care clinician. When combined with practical tools and resources RFIT can assist in the reduction of risk behaviours.

859-P: Impact of a Prediabetes Clinical Decision Support System on CV Risk Factor Control in Primary Care: Randomized Trial

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 859-P
Author(s):  
JAY R. DESAI ◽  
A. LAUREN CRAIN ◽  
DANIEL SAMAN ◽  
JOANN M. SPERL-HILLEN ◽  
CLAYTON ALLEN ◽  
...  
Keyword(s):  
Primary Care ◽  
Risk Factor ◽  
Decision Support ◽  
Decision Support System ◽  
Randomized Trial ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
Risk Factor Control

scholarly journals Analysis of postmenopausal osteoporosis in primary care in the canary islands Spain (ESTOPMAPCA project)

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Olmo Quintana V ◽  
Ramírez T ◽  
García Santana MI ◽  
Martin Torres M ◽  
González Núñez J ◽  
...  
Keyword(s):  
Primary Care ◽  
Postmenopausal Osteoporosis ◽  
Canary Islands

scholarly journals Temporal Trend in Young-Onset Type 2 Diabetes - the Macrovascular and Mortality Risk: Study of UK Primary Care Electronic Medical Records

2020 ◽  
Author(s):  
Digsu N. Koye ◽  
Joanna Ling ◽  
John Dibato ◽  
Kamlesh Khunti ◽  
Olga Montvida ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Risk Factor ◽  
High Risk ◽  
Mortality Risk ◽  
Cardiometabolic Risk ◽  
Low Risk ◽  
Young Onset ◽  
Onset Type

<b>Objectives: </b>To evaluate temporal prevalence trend, cardiometabolic risk factors, and the risk of atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality (ACM) in incident young- and usual-onset type 2 diabetes. <p><b>Research Design and Methods: </b>From the UK primary care database, 370,854 people with new diagnosis of type 2 diabetes from 2000 to 2017 were identified. Analyses were conducted by age groups (18-39, 40-49, 50-59, 60-69, 70-79 years) and high/low risk status without history of ASCVD at diagnosis - ≥ two of current smoking, high SBP, high LDL-C or chronic kidney disease were classified as high-risk. </p> <p><b>Results:</b> Proportion of people aged <50 years at diagnosis increased during 2000-2010 and then stabilised. The incidence rates of ASCVD and ACM declined in people aged ≥50 years, but did not decrease in people <50 years. Compared to people aged ≥50 years, those aged 18-39 years at diagnosis had higher obesity (71% obese), higher HbA1c (8.6%), 71% had high LDL-C, while only 18% were on cardio-protective therapy. Although 2% in this age group had ASCVD at diagnosis, 23% were identified as high-risk. In the 18-39 years group, the adjusted average years to ASCVD /ACM in high-risk individuals (years (95% CI): 9.1 (8.2–10.0) /9.3 (8.1–10.4)) were similar to those with low-risk (years (95% CI): 10.0 (9.5 – 10.5) /10.5 (9.7–11.2)). However, individuals ≥50 years with high-risk were likely to experience an ASCVD event 1.5 - 2 years earlier and death 1.1 – 1.5 years earlier compared to low-risk groups (p<0.01). </p> <p><b>Conclusions: </b>Unlike usual-onset,<b> </b>young-onset type 2 diabetes have similar cardiovascular and mortality risk irrespective of their cardiometabolic risk factor status at diagnosis. The guidelines on the management of young-onset type 2 diabetes for intensive risk-factor management and cardioprotective therapies need to be urgently re-evaluated through prospective studies.<b> </b></p>

scholarly journals Opportunistic screening for alcohol use disorders in primary care: comparative study

BMJ ◽  
2006 ◽  
Vol 332 (7540) ◽  
pp. 511-517 ◽  
Author(s):  
Simon Coulton ◽  
Colin Drummond ◽  
Darren James ◽  
Christine Godfrey ◽  
J Martin Bland ◽  
...  
Keyword(s):  
Primary Care ◽  
Alcohol Use ◽  
Comparative Study ◽  
Alcohol Use Disorders ◽  
Opportunistic Screening

Effect of Immunosuppressive Therapy on Cardiovascular Risk Factor Prevalence in Kidney-Transplanted Children: Comparative Study

2016 ◽  
Vol 48 (2) ◽  
pp. 639-642 ◽  
Author(s):  
J.A. García-Bello ◽  
E.G. Romo-Del Río ◽  
E. Mendoza-Gómez ◽  
P.A. Camarena-Arias ◽  
M. Santos-Caballero
Keyword(s):  
Risk Factor ◽  
Cardiovascular Risk ◽  
Comparative Study ◽  
Immunosuppressive Therapy ◽  
Cardiovascular Risk Factor ◽  
Risk Factor Prevalence

Abstract 3892: Brooklyn AWAReness of StrokE in Diabetes Mellitus

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Kessarin Panichpisal ◽  
Benedict Tan ◽  
Yogesh Moradiya ◽  
Hasan Memon ◽  
Volodymyr Vulkanov ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Primary Care ◽  
Risk Factor ◽  
High Risk ◽  
Primary Care Physicians ◽  
Current Status ◽  
Medical Complications ◽  
High Risk Population ◽  
Diabetic Patients ◽  
Stroke Risk Factor

OBJECTIVE: Diabetes mellitus (DM) is a common risk factor for stroke. Hence stroke awareness is very critical in diabetic patients. In order to design effective educational strategies for stroke intervention and prevention in this high risk group, we assessed the current status of knowledge about stroke symptoms, risk factors and activation of emergency medical services in individuals with DM. METHOD: A hospital-based survey was conducted between February and August 2011. Subjects who have DM were interviewed at 2 sites by trained Internal medicine, Neurology residents and medical students using a structured, closed-ended questionnaire. RESULTS: Two hundred and thirty subjects were interviewed, 64% female and 71% Caribbean-American and African-American. Seventy five percent of subjects had hypertension. Only sixty percent of subjects knew that they were high risk of stroke and only 46% had been informed by their primary care physician about this risk. More than 75% did not know their hemoglobin a1c and cholesterol levels. Stroke and diabetic ketoacidosis were the least recognized medical complications of DM (29%) while diabetic foot ulcer and diabetic nephropathy were the most recognized complications (54%). Hypertension was the most identified stroke risk factor (66%). Eighty-nine percent of respondents identified two or more stroke symptoms. Only 58% of respondents would call 911 for a stroke scenario. Subjects having DM > 10 years (p=0.02) and graduating from high school (p=0.002) were more likely to call 911, while people who had a history of kidney disease were less likely to call 911 (p=0.024). The two most common sources of information about stroke that DM patients received were from their primary care physicians (43%) and family and friends (35%). CONCLUSION: Stroke is one of the least recognized medical complications in DM patients. Primary care physicians play a very important role of stroke education in this high risk population.

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