Prescribing Patterns of Antihypertensive Drugs in Uncomplicated Hypertension
- Conditions
- Hypertension,EssentialCardiovascular Diseases
- Interventions
- Drug: Antihypertensive Agents
- Registration Number
- NCT06517134
- Lead Sponsor
- University Hospital, Caen
- Brief Summary
Hypertension incurs substantial cardiovascular morbidity and mortality, particularly in primary prevention settings. General practitioners (GPs) play a pivotal role in the management of hypertension in primary care, yet variations exist among GPs. The determinants shaping GPs' antihypertensive medication (AD) prescription patterns in the setting of hypertension remain ambiguous. This investigation sought to elucidate how GPs' characteristics and professional activities influence AD prescriptions. A cross-sectional study utilizing a sample of 2,165 GPs was conducted in Normandy, France, in 2019. The ratio of AD prescriptions to overall prescription volume was computed for each practitioner. GPs were classified as 'low' or 'high' AD prescribers based on the median of this ratio. The ratio was examined in relation to GPs' demographic and professional variables such as age, gender, practice setting, years of experience, consultation frequency, the demographics and socioeconomic status of their patient panels, and prevalence of chronic conditions in patients. These associations were explored using both univariate and multivariate analyses.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 3325032
- All patients who had at least one visit to their GP in 2019 were included, but minors were omitted.
- minors
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description hypertensive subjects Antihypertensive Agents -
- Primary Outcome Measures
Name Time Method medical practice activities 1 year frequency of home visits and consultations, the total number of registered patients, the average number of visits or consultations per patient, the average patient age, the number of very low-income patients, and the prevalence of registered chronic diseases (notably diabetes mellitus and cardiovascular diseases).
GP demographics 1 year age and gender of GPs, the urban or rural classification of the practice location (based on the GP's clinic postal code and DATASANTE tables from the French National Institute for Statistics and Economic Studies, INSEE), and the number of years in practice.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Xavier Humbert
🇫🇷Caen, France