First, bivariate correlations between the factors and patient knowledge score were calculated. Dummy variables were used in cases of categorical variables with more than two categories. The patient’s prescription type, number of current medicines, sex, age, education, income, assessment of current health status, assessment of pharmacist counseling, pharmacist counseling score, and physician/pharmacist informing score were used as factors. Therefore, the patients’ knowledge score was set as a dependent variable. A multiple linear regression was performed to determine factors associated with patients’ knowledge. Differences in categorical variables were tested using χ 2 test. Differences in quantitative values between two groups were tested by a Mann-Whitney test with Bonfer- roni correction. Normality of distribution was tested by Smirnov-Kolmog- orov test and appropriate nonparametric methods were applied. Standard descriptive statistics measures (mean, standard deviation, median ) were used. The same criteria were used for all three scores: each counseling element received 1 point, with a maximum of 10 points (Table 1). Physicians and pharmacists received points if the patients thought they received adequate information about a specific counseling element. The third score assessed the adequacy of information provided by physicians and pharmacists during treatment. Pharmacists received points if their patients stated they were explained or asked about a specific counseling element. The second score assessed the pharmacist counseling. Patients received points if they knew a specific counseling element and their response was consistent with the corresponding SmPC. The first score evaluated patients’ knowledge, based on their answers to the open-ended questions. If the patient response matched the SmPC (eg, medication purpose the patient stated was listed in the SmPC), the response was labeled as consistent. After the comple- tion of the interviews, the noted patients’ responses were checked for consistency with Summaries of Product Characteristics (SmPCs). All interviews took place in November and December 2013. At the end of the interview, the patients were thanked for their participation. The interviewer noted if the patient needed to consult the written material to answer correctly. (including the patient information leaflet) to answer the questions. Vital Signs: Where’s the sodium? There’s too much sodium in many common foods.Vital Signs: Preventable Deaths from Heart Disease & Stroke.Vital Signs: Heart Age-Is Your Heart Older Than You?.Asterisks indicate new strategies that were incorporated in this version of the guide. ![]() Read more, below, about the 18 strategies included in the guide. The guide’s strategies are grouped by commonalities they share in action and serve as overarching approaches public health practitioners can take to prevent and manage heart disease and stroke. The strategies included in Best Practices for Heart Disease and Stroke: A Guide to Effective Approaches and Strategies were selected based on a rigorous review process. Strategies Included in the Best Practices Guide The 18 strategies that are highlighted in this Guide were carefully reviewed and selected through a process that is described in the full PDF version of Best Practices for Heart Disease and Stroke: A Guide to Effective Approaches and Strategies. Other individuals with an interest in implementing effective public health strategies to improve cardiovascular and cerebrovascular health.īest Practices for Heart Disease and Stroke: A Guide to Effective Approaches and Strategies aims to inform decision making by translating complex evidence into specific public health actions that end users can take to address heart disease, stroke, and other cardiovascular conditions within their own practice and communities. Download and share the complete Best Practices Guide.
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