MODEL OF SELF-MONITORING OF BLOOD PRESSURE DETERMINANTS AMONG HYPERTENSIVE PATIENTS IN YAZD BASED ON PATH ANALYSIS OF BASNEF MODEL VARIABLES
1(Supple.1) : 101-101
Article Type: Original Article
Abstract: Introduction: The high prevalence of hypertension along with its serious complications on the body, have changed this disease to an important problem in the world. The prevalent remedies have not been effective in controlling the disease, yet. Blood pressure monitoring in the house may be an effective method. Path analysis is an exact statistical method for determining a best causative model of variables. So, the aim of this paper is application of regression based path analysis for Introduction of the best model of self-monitoring of blood pressure determinants, using BASNEF Model constructs. Material and Methods: This descriptive analytical study was carried out on 150 hypertensive patients referred to a private clinic, which entered in the study with a convenience sampling. The data were collected by interview, using a survey questionnaire which was adapted by the researchers. Before starting the interview, validity and reliability of the scales were approved by an experts panel and cronbach alpha. The Statistical Package for the Social Sciences (SPSS) was used for the purpose of data entry, manipulation and analysis. Results: intention and enabling factors had a direct effect on self-monitoring behaviors which enabling factors had the most powerful effect. subjective norms had indirect effects on self-monitoring behaviors through intention and enabling factors. Attitude had lowest effect on selfmonitoring behaviors. Discussion and conclusion: Regarding good power of BASNEF model in predicting that behavior, interventional programs aimed at promoting self monitoring among hypertensive patients with an emphasis on providing enabling factors, and reinforcement of intention and subjective norms may be effective on hypertention control.