document.write("<style type=\"text/css\">\n\ndiv#rssincl-box-42018 *{\n	font-family: Arial, Helvetica, sans-serif;\n	text-align:left;\n	margin:0;\n	padding:0;\n	line-height:110%;\n	clear:both;\n}\n\ndiv#rssincl-box-42018 { \n		width: 300px; \n	overflow-x:auto;\n			}\n\ndiv#rssincl-box-42018 div.rssincl-head { \n	padding:0px; \n	background-color: #FFFFFF;\n	 \n}\n\ndiv#rssincl-box-42018 div.rssincl-head p.rssincl-title,\ndiv#rssincl-box-42018 div.rssincl-head p.rssincl-title a { \n	font-family: Arial, Helvetica, sans-serif;\n	font-size: 15px;\n	font-weight:bold;\n	color: #FFFFFF;\n	text-decoration:none;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content {}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry { \n	padding:0px;\n	background-color: #FFFFFF;\n	 \n}\n\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-last { \n	border-bottom:none;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry p.rssincl-itemtitle {\n	margin-bottom:6px;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry p.rssincl-itemtitle a { \n	font-family: Arial, Helvetica, sans-serif;\n	font-size: 11px;\n	font-weight:bold;\n	text-decoration:underline;\n	color: #666666;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-itemdesc,\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-itemdesc *{\n	font-family: Arial, Helvetica, sans-serif;\n	font-size: 11px;\n	color: #666666;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-backlink {\n	font-family: ;\n	font-size: 10px;\n	color: #666666;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-backlink a {\n	color: #666666;\n	line-height:130%;\n    text-decoration: none;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-itemdesc img {\n	margin: 5px;\n}\n\ndiv#rssincl-box-42018 div.rssincl-content div.rssincl-entry div.rssincl-clear {\n	clear:both;\n}\n\n</style>\n\n<div id=\"rssincl-box-42018\">\n    <div class=\"rssincl-head\">\n        <p class=\"rssincl-title\">\n                CPHR                </p>\n    </div>\n    <div class=\"rssincl-content\">\n            <div class=\"rssincl-entry\">\n            <p class=\"rssincl-itemtitle\"><a href=\"http://escholarship.umassmed.edu/gsbs_cphr/29\" target=\"_blank\">Varenicline for Smoking Cessation in Patients with Coronary Heart Disease</a></p>\n            <div class=\"rssincl-itemdesc\">\nDespite the decline in cigarette smoking over the past 40 years, self-reported data from the National Health Interview Survey show that 19.8% (43.4 million) of US adults were still smokers in 2007.1 Attempts to quit during the previous year in the general population decreased from 47% in 1993 to 38.8% in 2007, and only 4% to 7% of smokers trying to quit each year will eventually succeed.  Cardiovascular diseases are the leading cause of death in Western countries, and cigarette smoking has a clear cause-and-effect relationship with atherosclerotic disease with the risk of myocardial infarction (MI) increasing with the number of cigarettes smoked.\n\nSimilarly strong evidence indicates that smoking cessation alone can result in a 36% reduction in the crude relative risk of mortality in smokers who quit versus those who do not.5 The risk decreases rapidly: after only 1 year of cessation, quitters have a lower relative risk (RR=0.63) of death from coronary heart disease (CHD) than do nonquitters, which decreases even further (RR=0.38) after 3 years of cessation.  Consequently, efforts to find effective treatments to enhance smoking cessation are of great importance.</div>\n            <div class=\"rssincl-clear\"></div>\n        </div>\n            <div class=\"rssincl-entry\">\n            <p class=\"rssincl-itemtitle\"><a href=\"http://escholarship.umassmed.edu/gsbs_cphr/28\" target=\"_blank\">Unexplained variation across US nursing homes in antipsychotic prescribing rates.</a></p>\n            <div class=\"rssincl-itemdesc\">\nBACKGROUND: Serious safety concerns related to the use of antipsychotics have not decreased the prescribing of these agents to nursing home (NH) residents. We assessed the extent to which resident clinical characteristics and institutional prescribing practice were associated with antipsychotic prescribing.\n\nMETHODS: Antipsychotic prescribing was assessed for a nationwide, cross-sectional population of 16 586 newly admitted NH residents in 2006. We computed facility-level antipsychotic rates based on the previous year's (2005) prescribing patterns. Poisson regressions with generalized estimating equations were used to identify the likelihood of resident-level antipsychotic medication use in 2006, given 2005 facility-level prescribing pattern and NH resident indication for antipsychotic therapy (psychosis, dementia, and behavioral disturbance). \n\nRESULTS: More than 29% (n = 4818) of study residents received at least 1 antipsychotic medication in 2006. Of the antipsychotic medication users, 32% (n = 1545) had no identified clinical indication for this therapy. Residents entering NHs with the highest facility-level antipsychotic rates were 1.37 times more likely to receive antipsychotics relative to those entering the lowest prescribing rate NHs, after adjusting for potential clinical indications (risk ratio [RR], 1.37; 95% confidence interval [CI], 1.24-1.51). The elevated risk associated with facility-level prescribing rates was apparent for only NH residents with dementia but no psychosis (RR, 1.40; 95% CI, 1.23-1.59) and residents without dementia or psychosis (RR, 1.54; 95% CI, 1.24-1.91). \n\nCONCLUSIONS: The NH antipsychotic prescribing rate was independently associated with the use of antipsychotics in NH residents. Future research is needed to determine why such a prescribing culture exists and whether it could result in adverse health consequences.</div>\n            <div class=\"rssincl-clear\"></div>\n        </div>\n            <div class=\"rssincl-entry\">\n            <p class=\"rssincl-itemtitle\"><a href=\"http://escholarship.umassmed.edu/gsbs_cphr/32\" target=\"_blank\">Age and sex differences in duration of prehospital delay in patients with acute myocardial infarction: a systematic review.</a></p>\n            <div class=\"rssincl-itemdesc\">\nBACKGROUND: Coronary heart disease is the leading cause of morbidity and mortality in American men and women. Although there have been dramatic changes in the management of patients hospitalized with acute myocardial infarction (AMI) over the past several decades, a considerable proportion of patients with AMI continue to delay seeking medical care in a timely manner. This review provides an overview of the published literature that has examined age and sex differences in extent of prehospital delay in patients hospitalized with AMI. \n\nMETHODS AND RESULTS: A systematic review of the literature from 1960 to 2008, including publications that provided data on duration of prehospital delay in patients hospitalized with AMI, was conducted. A total of 44 articles (42 studies) were included in the present analysis. The majority of studies showed that in patients hospitalized with AMI, women and older persons were more likely to arrive at the hospital later than men and younger persons. Several factors associated with duration of prehospital delay, including sociodemographic, medical history, clinical, and contextual characteristics differed according to sex. \n\nCONCLUSIONS: The elderly and women were more likely to exhibit longer delays in seeking medical care after the development of symptoms suggestive of AMI compared with other groups. Further research is needed to more fully understand the reasons for delay in these vulnerable groups.</div>\n            <div class=\"rssincl-clear\"></div>\n        </div>\n            <div class=\"rssincl-entry\">\n            <p class=\"rssincl-itemtitle\"><a href=\"http://escholarship.umassmed.edu/gsbs_cphr/30\" target=\"_blank\">Methodological limitations of psychosocial interventions in patients with an implantable cardioverter-defibrillator (ICD) A s...</a></p>\n            <div class=\"rssincl-itemdesc\">\nBACKGROUND: Despite the potentially life-saving benefits of the implantable cardioverter-defibrillator (ICD), a significant group of patients experiences emotional distress after ICD implantation. Different psychosocial interventions have been employed to improve this condition, but previous reviews have suggested that methodological issues may limit the validity of such interventions. \n\nAIM: To review the methodology of previously published studies of psychosocial interventions in ICD patients, according to CONSORT statement guidelines for non-pharmacological interventions, and provide recommendations for future research.\n\nMETHODS: We electronically searched the PubMed, PsycInfo and Cochrane databases. To be included, studies needed to be published in a peer-reviewed journal between 1980 and 2008, to involve a human population aged 18+ years and to have an experimental design. \n\nRESULTS: Twelve studies met the eligibility criteria. Samples were generally small. Interventions were very heterogeneous; most studies used cognitive behavioural therapy (CBT) and exercise programs either as unique interventions or as part of a multi-component program. Overall, studies showed a favourable effect on anxiety (6/9) and depression (4/8). CBT appeared to be the most effective intervention. There was no effect on the number of shocks and arrhythmic events, probably because studies were not powered to detect such an effect. Physical functioning improved in the three studies evaluating this outcome. Lack of information about the indication for ICD implantation (primary vs. secondary prevention), limited or no information regarding use of anti-arrhythmic (9/12) and psychotropic (10/12) treatment, lack of assessments of providers' treatment fidelity (12/12) and patients' adherence to the intervention (11/12) were the most common methodological limitations. \n\nCONCLUSIONS: Overall, this review supports preliminary evidence of a positive effect of psychosocial interventions on anxiety and physical functioning in ICD patients. However, these initial findings must be interpreted cautiously because of important methodological limitations. Future studies should be designed as large RCTs, whose design takes into account the specific challenges associated with the evaluation of behavioural interventions.</div>\n            <div class=\"rssincl-clear\"></div>\n        </div>\n                <div class=\"rssincl-entry rssincl-last\">\n            <div class=\"rssincl-backlink\"><a href=\"http://www.rssinclude.com\" target=\"_blank\">RSSbox powered by <strong>rss</strong>include.com</a></div>\n            <div class=\"rssincl-clear\"></div>\n        </div>\n        </div>\n    <!-- RSSbox id#42018 powered by RSSinclude.com -->\n</div>");