Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Adherence to treatment is essential to prevent the progression of coronary heart disease (CHD), which is the most common cause of death among women. Coronary heart disease in women has special characteristics: the conventional risk factors are more harmful to women than men, accumulation of risk factors is common, and women have nontraditional risk factors such as gestational diabetes and preeclampsia. In addition, worse outcomes, higher incidence of death, and complications after percutaneous coronary intervention have been reported more often among females than among male patients.
Objective: The aim of this study was to test a model of adherence to treatment among female patients with CHD after a percutaneous coronary intervention.
Methods: A cross-sectional, descriptive, and explanatory survey was conducted in 2013 with 416 patients with CHD, of which the 102 female patients were included in this substudy. Self-reported instruments were used to assess female patient adherence to treatment. Data were analyzed using descriptive statistics and a structural equation model.
Results: Motivation was the strongest predictor for female patients' perceived adherence to treatment. Informational support, physician support, perceived health, and physical activity were indirectly, but significantly, associated with perceived adherence to treatment via motivation. Furthermore, physical activity was positively associated with perceived health, whereas anxiety and depression were negatively associated with it.
Conclusions: Secondary prevention programs and patient education have to take into account individual or unique differences. It is important to pay attention to issues that are known to contribute to motivation rather than to reply on education alone to improve adherence.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/JCN.0000000000000592 | DOI Listing |
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