Abstract
The recent article by Haws et al. (2011) seeks to extend understanding of clinicians’ views and knowledge about the association between depression and coronary heart disease (CHD). The authors draw attention to the raised prevalence of depression among people following myocardial infarction (MI) and the negative effects of this comorbidity on health outcomes – a topic of clear clinical and public health significance. The association between medical conditions and common mental disorders is not restricted to CHD and depression: evidence from large-scale community studies indicates that the prevalence of mood, anxiety and substance use disorders is consistently elevated in people experiencing a wide range of medical conditions (Wells et al. 1989, Moussavi et al. 2007). Most research has examined comorbid depression, and typically, its prevalence is twoto three -fold increased among people with common long-term conditions such as asthma, diabetes, hypertension or stroke, resulting in increased disability and higher health care usage. Haws et al. (2011) rightly note that cardiac mortality rates are increased in patients who have developed depression following MI; systematic review evidence indicates a 2AE5-fold increase. These negative consequences, together with the likelihood that comorbidities of this sort will become increasingly common with population ageing and improved healthcare, provide a powerful imperative for better condition recognition and treatment (Haddad 2009). New studies are extending evidence for treating mental health problems like depression in combination with medical conditions, and guidelines have been developed to assist clinical decisionmaking and service management. Psychological treatments (delivered not only face-to-face, but via the internet, telephone and text messaging) and antidepressants have been found effective, as have service delivery approaches typically combining a case identification with stepped care arrangements, structured follow-up and case management (usually involving primary care-based nurses). However, and contrary to the claim made in the article’s discussion section, the use of screening tools is associated with only modest improvements in depression recognition and with a lack of clinical benefits unless additional organisational changes are in place to enable delivery of appropriate therapeutic responses. Haws et al. (2011) conducted an internet survey, aimed to ascertain the knowledge, attitudes and related clinical practice of nurses and GPs in this area. These aims may help determine need for training, or other resources to support practice changes, but importantly, the value of findings is dependent upon the adequacy of the methods used. Unfortunately, the design and reporting of this study appear flawed. The sample selection and response rate (of around 9%) are discussed by the authors, but there remain important questions about this sample’s representativeness of the population of interest: the means of contacting staff together with the response rate raise the possibility of selection bias. Most importantly, the authors may misrepresent the state of clinicians’ knowledge concerning depression among people following MI. They repeatedly provide a rate of 45% for post-MI depression prevalence, stating this one-year prevalence to be based on epidemiological research. A key part of their article involves comparing this prevalence with participants’ responses to the question: ‘Can you estimate the percentage of patients you see post-MI who are depressed?’, and they report as a central finding that GPs’ estimates were
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