Are Suicide Rates Related to the Psychiatrist Density? A Cross-National Study

Macro-level mental health system indicators and cross-national suicide rates

Background

The relationship between macro-level mental health system indicators and population suicide rates is an area of contention in the literature, necessitating an analysis of current cross-national data to document any new trend in the relationship.

Objective

This study investigated whether mental health system indicators are associated with national suicide rates.

Method

Using an ecological study design and multivariate non-parametric robust regression models, data on suicide rates and mental health system indicators of 191 countries retrieved from WHOs 2017 Mental Health Atlas were compared.

Results

Findings revealed that the average suicide mortality rate was significantly higher in high- income countries, relative to low-income countries. High-income countries are significantly more likely to have high number of mental health professionals, mental health policies and legislation, independent mental health authority and suicide prevention programs. These mental health system indicators demonstrated significant and positive association with suicide, suggesting that countries scoring high on these factors have higher odds of being categorized as high suicide risk countries.

Conclusion

The findings have several implications for policy and practice, including the need to make existing mental health systems very responsive to suicide prevention.

The relationship of nursing practice laws to suicide and homicide rates: a longitudinal analysis of US states from 2012 to 2016

BACKGROUND

Nursing resources can have a protective effect on patient outcomes, but nurses and nursing scope of practice have not been studied in relation to injury outcomes. The purpose of this study was to examine whether scope of practice and ease of practice laws for nurse practitioners and registered nurses are associated with suicide and homicide rates in the United States.

METHODS

This state-level analysis used data from 2012 to 2016. The outcome variables were age-adjusted suicide and homicide rates. The predictor variables were NP scope of practice by state (limited, partial, or full) and RN ease of practice (state RN licensure compact membership status). Covariates were state sociodemographic, healthcare, and firearm/firearm policy context variables that have a known relationship with the outcomes.

RESULTS

Full scope of practice for NPs was associated with lower rates of suicide and homicide, with stronger associations for suicide. Likewise, greater ease of practice for RNs was associated with lower suicide and homicide rates.

CONCLUSIONS

Findings suggest that nurses are an important component of the healthcare ecosystem as it relates to injury outcomes. Laws supporting full nursing practice may have a protective effect on population health in the area of injuries and future studies should explore this relationship further.

The use of random-effects models to identify health care center-related characteristics modifying the effect of antipsychotic drugs

Purpose

A case study was conducted, exploring methods to identify drugs effects modifiers, at a health care center level.

Patients and methods

Data were drawn from the Schizophrenia Outpatient Health Outcome cohort, including hierarchical information on 6641 patients, recruited from 899 health care centers from across ten European countries. Center-level characteristics included the following: psychiatrist’s gender, age, length of practice experience, practice setting and type, countries’ Healthcare System Efficiency score, and psychiatrist density in the country. Mixed multivariable linear regression models were used: 1) to estimate antipsychotic drugs’ effectiveness (defined as the association between patients’ outcome at 3 months – dependent variable, continuous – and antipsychotic drug initiation at baseline – drug A vs other antipsychotic drug); 2) to estimate the similarity between clustered data (using the intra-cluster correlation coefficient); and 3) to explore antipsychotic drug effects modification by center-related characteristics (using the addition of an interaction term).

Results

About 23% of the variance found for patients’ outcome was explained by unmeasured confounding at a center level. Psychiatrists’ practice experience was found to be associated with patient outcomes (p=0.04) and modified the relative effect of “drug A” (p<0.001), independent of center- or patient-related characteristics.

Conclusion

Mixed models may be useful to explore how center-related characteristics modify drugs’ effect estimates, but require numerous assumptions.