Morale of mental health professionals in Community Mental Health Services of a Northern Italian Province.

Publisher version: http://journals.cambridge.org/action/displayJournal?jid=EPSAIMS: To explore morale of psychiatrists and psychiatric nurses working in Community Mental Health Centres (CMHC) in an Italian Province, and identify influential factors. METHODS: Thirty psychiatrists and 30 nurses working in CMHCs in Modena completed questionnaires on burnout, team identity and job satisfaction. They also answered open questions about different aspects of their work. Answers were subjected to content analysis. Regression analyses were used to identify factors that predicted morale across groups. RESULTS: Psychiatrists had higher scores on emotional exhaustion and depersonalisation. There were no significant differences between the two groups in job satisfaction and job or role perception. Professionals reported positive relationships with patients as the most enjoyable aspects of their job, whilst team conflicts and high workloads were seen as most difficult to cope with. Multivariate analyses showed that being a psychiatrist and perceiving team conflicts as a main cause of pressure in the job predicted higher burnout. CONCLUSIONS: Simple open questions coupled with quantitative measures appear a promising tool to investigate morale of mental health professionals and identify factors determining morale. Research, training and service development should focus on relationship aspects both with patients and within teams to reduce burnout in CMHCs

The difficult task of predicting the costs of community-based mental health care. A comprehensive case register study.

Previous studies have attempted to forecast the costs of mental health care, using clinical and individual variables; the inclusion of ecological measures could improve the knowledge of predictors of psychiatric service utilisation and costs to support clinical and strategic decision-making

Predicting costs of mental health care: a critical literature review

Cost evaluation research in the mental health field is being increasingly recognized as a way to achieve a more effective deployment of scarce resources. However, there is a paucity of studies that seek to identify predictors of psychiatric service utilization and costs. This paper aims to critically review the published research in the field of psychiatric service utilization and costs, and discusses current methodological developments in this field

COFFE: a code for the full-sky relativistic galaxy correlation function

We present a public version of the code COFFE (COrrelation Function Full-sky Estimator) available at https://github.com/JCGoran/coffe. The code computes the galaxy two-point correlation function and its multipoles in linear perturbation theory, including all relativistic and wide angle corrections. COFFE also calculates the covariance matrix for two physically relevant estimators of the correlation function multipoles. We illustrate the usefulness of our code by a simple but relevant example: a forecast of the detectability of the lensing signal in the multipoles of the two-point function. In particular, we show that lensing should be detectable in the multipoles of the two-point function, with a signal-to-noise larger than 10, in future surveys like Euclid or the SKA.Comment: Code available at https://github.com/JCGoran/coff

On the 2nd2^\text{nd} feature of the matter two-point function

We point out the existence of a second feature in the matter two-point function, besides the acoustic peak, due to the baryon-baryon correlation in the early universe and positioned at twice the distance of the peak. We discuss how the existence of this feature is implied by the well-known heuristic argument that explains the baryon bump in the correlation function. A standard $\chi^2$ analysis to estimate the detection significance of the second feature is mimicked. We conclude that for realistic values of the baryon density, an SKA-like galaxy survey will not be able to detect this feature with standard correlation function analysis.Comment: v2: Added references. Matches published versio