The association between psychiatric admission rates and measures of deprivation varies considerably with diagnosis. Measures of social deprivation may indicate need for services for patients with psychotic disorders; admission rates for non-psychotic illnesses may reflect the availability of beds rather than need.

Background Inflammatory cardiomyopathy is one of the most common causes of sudden cardiac death in young adults. Diagnosis of inflammatory cardiomyopathy remains challenging, and better monitoring tools are needed. We present magnetocardiography as a method to diagnose myocardial inflammation and monitor treatment response. Methods and Results A total of 233 patients were enrolled, with a mean age of 45 (±18) years, and 105 (45%) were women. The primary analysis included 209 adult subjects, of whom 66 (32%) were diagnosed with inflammatory cardiomyopathy, 17 (8%) were diagnosed with cardiac amyloidosis, and 35 (17%) were diagnosed with other types of nonischemic cardiomyopathy; 91 (44%) did not have cardiomyopathy. The second analysis included 13 patients with inflammatory cardiomyopathy who underwent immunosuppressive therapy after baseline magnetocardiography measurement. Finally, diagnostic accuracy of magnetocardiography was tested in 3 independent cohorts (total n=23) and 1 patient, who developed vaccine‐related myocarditis. First, we identified a magnetocardiography vector to differentiate between patients with cardiomyopathy versus patients without cardiomyopathy (vector of ≥0.051; sensitivity, 0.59; specificity, 0.95; positive predictive value, 93%; and negative predictive value, 64%). All patients with inflammatory cardiomyopathy, including a patient with mRNA vaccine‐related myocarditis, had a magnetocardiography vector ≥0.051. Second, we evaluated the ability of the magnetocardiography vector to reflect treatment response. We observed a decrease of the pathologic magnetocardiography vector toward normal in all 13 patients who were clinically improving under immunosuppressive therapy. Magnetocardiography detected treatment response as early as day 7, whereas echocardiographic detection of treatment response occurred after 1 month. The magnetocardiography vector decreased from 0.10 at baseline to 0.07 within 7 days ( P =0.010) and to 0.03 within 30 days ( P <0.001). After 30 days, left ventricular ejection fraction improved from 42.2% at baseline to 53.8% ( P <0.001). Conclusions Magnetocardiography has the potential to be used for diagnostic screening and to monitor early treatment response. The method is valuable in inflammatory cardiomyopathy, where there is a major unmet need for early diagnosis and monitoring response to immunosuppressive therapy.

In keeping with other research the data suggest that sociodemographic factors are strong predictors of depression and anxiety. The most vulnerable population groups are those with longstanding limiting physical illness and no-one to talk to. This should help in identifying high-risk individuals and informing preventive strategies.

Involvement in an organizational change programme presented an opportunity to study relationships between stress and creativity in the organization. Levels of stress were close to population norms, whereas the scores from the Creative Climate Questionnaire indicated a stagnated (as opposed to innovative) organization. Strong negative correlations between stress and creative climate scores were found, especially for stress arising from relationships with others and from organizational structure and climate. In addition, differences in both stress and creativity scores were found between samples from five different levels in the organizations hierarchy. The higher the level, the less the stress and the better the perceived creative climate. It is suggested that this is a function of the type of culture pertaining in the organization.

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Minor psychiatric morbidity is known to be associated with social disadvantage, but few studies have explored this association at the population level. This study reports data from a postal survey across 19 health districts in one region, with a total sample of 38,000 respondents. The percentage scoring above the General Health Questionnaire (GHQ) threshold for each health district was correlated with measures of deprivation derived from the 1991 census and standardised mortality ratios. Highly significant correlations were seen between the percentage above the GHQ threshold and the Underprivileged Area (UPA) score (r = 0.84), under 65 Standardised Mortality Ratio (SMR; r = 0.80), lack of amenities (r = 0.56), overcrowding (r = 0.54), lone-parent families (r = 0.84), unemployment (r = 0.87), unskilled workers (r = 0.77), ethnic minority composition (r = 0.58) and social mobility (r = 0.85). However, the three most deprived districts had the lowest response rates and when these were excluded from the analysis, only the correlations with under 65 SMR (r = 0.57, P < 0.05), UPA score (r = 0.52, P < 0.05) and unskilled workers (r = 0.60, P < 0.05) remained significant. There may be a threshold effect for the impact of social disadvantage on mental health, with much higher rates of psychological morbidity among markedly disadvantaged populations.

Health Authorities need to review support for carers and to consider ways to improve monitoring.

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