Antidepressant prescribing and suicides in emilia-romagna region (Italy) from 1999 to 2008: an ecological study

Antidepressants use in Italy: an ecological study of national and regional trends and associated factors

The present study aimed to (1) provide an update on trends in AD consumption both at the national and regional unit of analysis for the period 2000-2020 in Italy and (2) analyze sociodemographic and healthcare system-related factors associated with AD prescribing at the regional-population level between 2000 and 2019. Data were extracted from reports of the Italian Medicines Agency and databases of the Italian National Institute of Statistics. Linear regression and mixed models were applied to analyze trends in AD use (DDD/1000/day) and ecological factors associated with AD prescribing. Between 2000 and 2010 AD prescription rates constantly increased. Thereafter they stabilized until 2017 when a positive trend began again. There was a positive ecological association between AD prescribing and rates of hospital discharge due to affective disorders, antibiotics prescribing, public non-drug healthcare spending per capita, and Northern regions compared to Southern regions. AD consumption increased massively during the 2000s, flattened during the 2010s but thereafter increased again until 2020. The ecological correlation between healthcare provision/spending and AD consumption suggests that health-economic factors may play an important role.

Availability of mental health service providers and suicide rates in Slovenia: a nationwide ecological study

AIM

To investigate the influence of socioeconomic factors, mental health service availability, and prevalence of mental disorders on regional differences in the suicide rate in Slovenia.

METHODS

The effects of different socioeconomic factors, mental health service availability, and mental disorders factors on suicide rates from 2000-2009 were analyzed using a general linear mixed model (GLMM). Pearson correlations were used to explore the direction and magnitude of associations.

RESULTS

Among socioeconomic factors, unemployment rate ranked as the most powerful predictor of suicide and an increase of one unit in the unemployment rate increased regional suicide rate by 2.21 (β=2.21, 95% confidence intervals [CI]=1.87-2.54, P<0.001). On the other hand, higher marriage/divorce ratio was negatively related to the suicide rate and an increase of one unit in marriage/divorce ratio reduced regional suicide rate by 1.16 (β=-1.16, 95% CI=-2.20 to -0.13, P<0.031). The most influential mental health service availability parameter was higher psychiatrist availability (4 psychiatrists and more working at outpatient clinics per 100 000 inhabitants), which was negatively correlated with the suicide rate and reduced regional suicide rate by 2.95 (β=-2.95, 95% CI=-4.60 to -1.31, P=0.002). Another negatively correlated factor was the antidepressant/anxiolytic ratio higher than 0.5, which reduced the regional suicide rate by 2.32 (β=-2.32, 95% CI=-3.75 to -0.89, P=0.003). Among mental health disorders, only the prevalence of alcohol use disorders was significantly related to the regional suicide rates and an increase of one unit in the prevalence of alcohol use disorders per 1000 inhabitants increased the regional suicide rate by 0.02 (β=0.02, 95% CI=0.01- 0.03, P=0.008).

CONCLUSIONS

Besides unemployment, which was a very strong predictor of suicide rates, unequal availability of mental health services and quality of depressive disorder treatment may contribute to variations in suicide rates in different regions.