scholarly journals Effect of a 36-month Pharmaceutical Care Program on the Coronary Heart Disease Risk in Elderly Diabetic and Hypertensive Patients

2011 ◽  
Vol 14 (2) ◽  
pp. 249 ◽  
Author(s):  
Paulo Roque Obreli Neto ◽  
Srecko Marusic ◽  
Divaldo Pereira De Lyra Júnior ◽  
Diogo Pilger ◽  
Joice Mara Cruciol-Souza ◽  
...  

Purpose. To examine the effect of a pharmaceutical care program on the coronary heart disease risk in elderly diabetic and hypertensive patients. Methods. A total of 200 elderly (> 60 years) diabetic and/or hypertensive patients were recruited into a randomized, controlled, prospective clinical trial with a 36-month follow-up, developed in a public primary health care unit in a municipality in the Brazilian State of Sao Paulo. A range of clinical measurements were evaluated at the baseline and up to 36 months afterwards. The intervention group patients received pharmaceutical care from a clinical pharmacist, whereas the control group patients received their usual care from the medical and nursing staff. The Framingham scoring method was used to estimate changes in the 10-year coronary heart disease risk scores of all the patients. Results. A total of 194 patients completed the study. Significant reductions (p < 0.05) in the mean values (baseline vs. 36 months) for the systolic blood pressure [156.7mmHg vs 133.7mmHg; p

Heart ◽  
2019 ◽  
Vol 105 (13) ◽  
pp. 982-989 ◽  
Author(s):  
Barbora Silarova ◽  
Stephen Sharp ◽  
Juliet A Usher-Smith ◽  
Joanne Lucas ◽  
Rupert A Payne ◽  
...  

ObjectiveTo determine whether provision of web-based lifestyle advice and coronary heart disease risk information either based on phenotypic characteristics or phenotypic plus genetic characteristics affects changes in objectively measured health behaviours.MethodsA parallel-group, open randomised trial including 956 male and female blood donors with no history of cardiovascular disease (mean [SD] age=56.7 [8.8] years) randomised to four study groups: control group (no information provided); web-based lifestyle advice only (lifestyle group); lifestyle advice plus information on estimated 10-year coronary heart disease risk based on phenotypic characteristics (phenotypic risk estimate) (phenotypic group) and lifestyle advice plus information on estimated 10-year coronary heart disease risk based on phenotypic (phenotypic risk estimate) and genetic characteristics (genetic risk estimate) (genetic group). The primary outcome was change in physical activity from baseline to 12 weeks assessed by wrist-worn accelerometer.Results928 (97.1%) participants completed the trial. There was no evidence of intervention effects on physical activity (difference in adjusted mean change from baseline): lifestyle group vs control group 0.09 milligravity (mg) (95% CI −1.15 to 1.33); genetic group vs phenotypic group −0.33 mg (95% CI −1.55 to 0.90); phenotypic group and genetic group vs control group −0.52 mg (95% CI −1.59 to 0.55) and vs lifestyle group −0.61 mg (95% CI −1.67 to 0.46). There was no evidence of intervention effects on secondary biological, emotional and health-related behavioural outcomes except self-reported fruit and vegetable intake.ConclusionsProvision of risk information, whether based on phenotypic or genotypic characteristics, alongside web-based lifestyle advice did not importantly affect objectively measured levels of physical activity, other health-related behaviours, biological risk factors or emotional well-being.Trial registration numberISRCTN17721237; Pre-results.


Author(s):  
Steve Selvin

The Joy of Statistics consists of a series of 42 “short stories,” each illustrating how elementary statistical methods are applied to data to produce insight and solutions to the questions data are collected to answer. The text contains brief histories of the evolution of statistical methods and a number of brief biographies of the most famous statisticians of the 20th century. Also throughout are a few statistical jokes, puzzles, and traditional stories. The level of the Joy of Statistics is elementary and explores a variety of statistical applications using graphs and plots, along with detailed and intuitive descriptions and occasionally using a bit of 10th grade mathematics. Examples of a few of the topics are gambling games such as roulette, blackjack, and lotteries as well as more serious subjects such as comparison of black/white infant mortality rates, coronary heart disease risk, and ethnic differences in Hodgkin’s disease. The statistical description of these methods and topics are accompanied by easy to understand explanations labeled “how it works.”


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