Admissions For Mental Disorders Research Articles

Effects of seasonality in emergency admissions for mental disorders: two years of clinical experience

Objectives This retrospective study, conducted in Turin, Italy, between January 2021 and February 2023, investigates the impact of seasonal heatwaves on emergency department (ED) admissions for mental disorders. Methods Through the analysis of data from 2,854 patients, this research found a significant link between the occurrence of heatwaves, especially from June to August, and an elevated rate of ED admissions for psychiatric conditions. Results The data indicate a clear seasonal pattern, with admissions peaking during the hot months and diminishing in the colder months. Particularly, the study delineates an enhanced correlation between heatwaves and admissions for severe psychiatric disorders, such as bipolar disorder, major depression, personality disorders, and schizophrenia, accounting for 1,868 of the cases examined. This correlation was most pronounced among individuals aged 50–59 years. Conclusions The results of this study highlight a critical association between the incidence of seasonal heatwaves and an uptick in ED visits for psychiatric disorders, with a distinct impact on severe cases. It underscores the urgency for healthcare systems to anticipate seasonal fluctuations in psychiatric ED admissions and to allocate resources effectively to support patients during peak periods.

Exploring the association between precipitation and hospital admission for mental disorders in Switzerland between 2009 and 2019.

While several studies proved the relationship between increasing temperatures and poor mental health, limited evidence exists on the effect of other weather factors, such as precipitation. This study assessed the impact of precipitation on hospital admissions for mental disorders in Switzerland between 2009-2019. We defined different precipitation events based on the duration (daily precipitation ≥1mm for 2, 3, or 4 days; PP.2/PP.3/PP.4) and intensity (≥90th percentile for 2 consecutive days; PEP90.2). First, we conducted aggregated time-stratified case-crossover analysis in eight main Swiss cities with distributed lag models to assess the association up to 3 days after the exposure. Then, we pooled the estimates in each city using a multivariate random effects meta-analysis for all hospital admissions and by subgroups (sex, age, diagnosis). Evidence of an association between precipitation and hospital admission for mental disorders was not found in Switzerland (PP.2: 1.003[0.978-1.029]; PP.3: 1.005[0.985-1.026]; PP.4: 0.994[0.960-1.030]; PEP90.2: 1.000[0.953-1.050]). Although the results were highly uncertain, we found an indication of increasing risks of hospital admission with increasing intensity of precipitation in warmer seasons (PP.2: 1.001[0.971-1.032] vs PEP90.2: 1.014[0.955-1.078]), while the risks of hospital admission slightly increased by the duration in colder season (PP.2: 1.009[0.981-1.039]; PP.3: 1.008[0.980-1.036]; PP.4: 1.017[0.956-1.081]). Overall, risks tend to be higher in people aged < 65 years. Duration of the events may influence more than intensity in females, while opposite patterns were observed in males. Risks tended to be larger but still uncertain for schizophrenia, mood disorders, and adult personality disorders. An indication of a negative association was found in neurotic disorders and null risks in the remaining groups. Although our findings did not show a clear association between precipitation and mental disorders, further research is required to clarify the role of precipitation and the potential implications of climate change and extreme precipitation events on mental health.

Association of NO2 with daily hospital admissions for mental disorders: Investigation of the modification effects of green spaces and long-term NO2 exposure

Air pollution is a risk factor for increased hospital admissions due to mental disorders, while green spaces have been linked with better mental health. We linked daily hospital admission records from Wuhan's 74 municipal hospitals from 2017 to 2019 with modeled annual average NO2 concentrations and added data on the residential surrounding green spaces with 250 m and 500 m buffers based on the normalized difference vegetation index (NDVI) using a land use regression model (LUR). The conditional logistic regression model was used to estimate the acute effect of short-term NO2 exposure, and stratification analyses were applied to explore the modification effect of long-term NO2 exposure and green spaces by estimating the odds ratios in the single- and dual-environmental factor groups. A total of 42,705 hospital admissions for mental disorders were identified. Short-term exposure to NO2 was associated with an increased risk of hospital admission for mental disorders. A 10 μg/m3 increase in NO2 (lag01 day) was associated with an increase in hospital admissions of 2.86% (95% CI, 2.05–3.68) for the total mental disorders. Compared with patients in the “low-NDVI/low-NO2” group (ER = 2.27%, 95% CI, 0.27–4.31), patients in the “high-NDVI/low-NO2” group (ER = 1.93%, −0.10−3.99) showed a lower and insignificant increase in hospitalizations for the total mental disorders, while greenness had a slight moderating effect in the high-level long-term NO2 exposure areas. This study suggested that green spaces may moderate the acute effect of NO2 exposure for mental disorder hospitalizations, especially in low-level long-term NO2 exposure areas.

Psychiatric hospitalizations in Brazil: exploratory and trend analysis from 2009 to 2019

ABSTRACT Objective: To examine the rates of psychiatric hospitalization and the average length of stay, in Brazil, from 2009 to 2019, according to sociodemographic variables and character of the hospitalization (elective or urgency). Methods: This is an ecological study, with data collected from the Hospital Information System of the Unified Health System (SIH/SUS). Hospital admission rates were described according to diagnosis, sex, and age group. Percentage variation and rate ratios were calculated. To evaluate the time series, the data were submitted to linear regression analysis. Results: The rate of hospitalization for mental disorders decreased from 14.2/10,000 in 2009 to 11.2 in 2019, with the most significant variation occurring between mental and behavioral disorders due to alcohol use. The men had about twice as many episodes as the women in all the years evaluated. Higher rates were found in the age group of 30 and 59 years. The length of stay also decreased in the period. Besides, the urgency character presented almost 82% of the total hospitalizations. Conclusions: There was a reduction in hospital admissions for mental disorders in the analyzed period, demonstrating the relevance of mental health care changes resulting from the Psychiatric Reform.

Attributable risk and economic cost of hospital admissions for mental disorders due to PM2.5 in Beijing

Background Few studies have estimated the attributable risk and economic cost of mental disorders (MDs) due to particulate matters with aerodynamic diameter of less than 2.5 µm (PM2.5) exposure in Beijing.Objectives This study aims to identify the possible correlation between PM2.5 and risk of hospital admissions (HAs) for MDs in Beijing and calculate the attributable risk and economic cost.Methods A generalized additive model (GAM) with controlling for time trend, meteorological conditions, holidays and day of the week was used to estimate the associations. Stratified analyses were performed by age, gender and season. We further estimated the health and economic burden of HAs for MDs attributable to PM2.5.Results A total of 17,252 HAs for MDs were collected. A 10 µg/m3 daily increase in PM2.5 was associated with a statistically significant risk increase of 3.55% for HAs for MDs. The effects of PM2.5 exposures on HAs for MDs were more pronounced in males, elderly (≥65 years old) individuals and in cold seasons. Using WHO's air quality guidelines as the reference, 15.12% of HAs (2,609 person-times out of 17,252 person-times) and 16.19% of the related medical expenses (51.86 million CNY out of 320.3 million CNY) for MDs were attributed to PM2.5 during the study period.Conclusion PM2.5 accounts for substantial morbidity and economic burden of MDs for both the society and households, which shows environmental protections are essential to improve mental health status of the population.

T125. AN ASSOCIATION BETWEEN OZONE, BUT NOT OTHER AIR POLLUTANTS, AND DAILY NUMBER OF VISITS TO PSYCHIATRIC EMERGENCY SERVICES

BackgroundAir pollution is a major environmental risk to health. Exposure to xenobiotic heavy metals such as lead and cadmium—constituents of air pollution such as particulate matter and nitrogen and sulfur oxides, organic solvents, and other environmental pollutants—could be component causes for schizophrenia and other psychotic disorders. Long-term exposure to ambient air pollution could be an independent risk factor for mental health disorders. Recent studies analysing the association between daily levels of air pollutants and hospital admissions for mental disorders showed significant results for different pollutants considered both for admissions for generic mental disorders and for specific diagnoses such as schizophrenia, depression and substance abuse. Aim of the present study is to investigate the associations between daily levels of air pollutants (particulate matter, ozone, carbon monoxide, nitrogen dioxide) and daily admissions for mental disorders to the emergency department of two general hospitals in Umbria region (Italy)MethodsWe collected data about daily admissions to psychiatric emergency services of two general hospitals, daily levels of respirable particular matter (PM10 and PM2.5), ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), and meteorological data (daily average temperature, pressure, humidity, and maximum and average wind speed) for the time period 1 January 2015 until 31 December 2016 (731 days). We used air monitoring data for the different types of air pollutants which were averaged across up to 16 monitor stations dispersed in the region. We assessed the impact of an increase in air pollutants on the number of daily admissions using a time-series econometric framework.ResultsA total of 1860 cases of emergency department admissions for mental disorders were recorded over the study period.We observe a statistically significant impact of O3 levels on daily admissions. The estimated coefficient of O3 is statistically significant at the 1 percent level. According to our results, an increase of one µg/ m3 of O3 concentration (relative to the average concentration of the last 20 days) results in 0.013 more admissions to the hospitals.All other pollutants are not significantly associated with the number of daily admissions.DiscussionWe observed a statistically significant association of daily ozone levels and daily number of admissions to psychiatric emergency services. Ozone is a component of photochemical smog and a powerful oxidant, and is considered as one of the most important air pollutants. Ozone may have a relevant interference with CNS physiology, and its exposure may be linked to brain disease and contribute to inflammation and oxidative stress.Ozone exposure may be considered a potential environmental risk factor for impaired mental health. Epidemiological studies found evidence that ozone exposure may affect autism spectrum disorders, lead to motor disorders and cognitive impairment, and have an influence on the incidence of depression and suicide. In recent studies ozone air levels showed an association with increased risk of an emergency department visit for depression. This is one of the first studies worldwide investigating the association between daily concentration of air pollutants and the daily number of visits to a psychiatric emergency unit.Our results add to previous literature on existing evidence for air pollution to have a role in the cause or worsening of mental distress and psychiatric disorders. Contrary to our hypothesis, we did not find a positive association between most of the air pollutants considered in our study. This is in contrast with previous literature on this subject.This could be explained by the methodological limitations of our study.

Health and economic impacts of particulate matter pollution on hospital admissions for mental disorders in Chengdu, Southwestern China

The evidence for adverse effects of ambient particulate matter (PM) pollution on mental disorders (MDs) is limited, especially in developing countries. This study aimed to quantify both PM related health impacts and corresponding economic loses for overall and specific MDs in southwestern China. Data regarding 134,292 hospital admissions for MDs were collected from local Compulsory Medical Insurance Database in 2013–2017. A generalized additive model (GAM) was applied to estimate the exposure-response effects of PM pollution on hospital admissions for MDs. And the cost of illness method (COI) was adopted to further assess corresponding hospitalization costs and productivity loses. It was showed that PM pollution was significantly related to hospital admissions for overall and specific MDs. Each 10 μg/m3 increase in concentrations of PM10 (particles with an aerodynamic diameters ≤10 μm), PM2.5 (≤ 2.5 μm) and PMc (2.5 μm < c < 10 μm) at the cumulative lag03 day would be responsible for 3.25% (95%CI: 2.34–4.16%), 6.38% (95%CI: 4.79–7.97%), and 3.81% (95%CI: 2.13–5.50%) increments in daily hospital admissions for MDs, respectively. Stronger associations were observed in males, cool season and people over 45 years. During the study period, PM pollution brought 1453.18 million Yuan economic losses for overall MDs, accounting for 0.026% of local GDP. This study suggested that short-term exposure to PM pollution, especially to PM2.5, was associated with increased hospital admissions for MDs in southwestern China. In addition, potential benefits of lowering PM concentrations are considerable.

Attributable risk and economic cost of hospital admissions for mental disorders due to PM2.5 in Beijing

BackgroundFew studies have estimated the attributable risk and economic cost of mental disorders (MDs) due to particulate matters with aerodynamic diameter of <2.5 μm (PM2.5) exposure in Beijing. ObjectivesThis study aims to identify the possible correlation between PM2.5 and risk of hospital admissions (HAs) for MDs in Beijing and calculate the attributable risk and economic cost. MethodsA generalized additive model (GAM) with controlling for time trend, meteorological conditions, holidays and day of the week was used to estimate the associations. Stratified analyses were performed by age, gender and season. We further estimated the health and economic burden of HAs for MDs attributable to PM2.5. FindingsA total of 17,252 HAs for MDs were collected. A 10 μg/m3 daily increase in PM2.5 was associated with a statistically significant risk increase of 3.55% for HAs for MDs. The effects of PM2.5 exposures on HAs for MDs were more pronounced in males, elderly (≥65 years old) individuals and in cold seasons. Using WHO's air quality guidelines as the reference, 15.12% of HAs and 16.19% of the related medical expenses for MDs were attributed to PM2.5 during the study period. NoveltyPM2.5 accounts for substantial morbidity and economic burden of MDs for both the society and households, which shows environmental protections are essential to improve mental health status of the population.

Air pollutants and daily number of admissions to psychiatric emergency services: evidence for detrimental mental health effects of ozone.

Aim of the current study is to investigate the associations between daily levels of air pollutants (particulate matter, ozone, carbon monoxide, nitrogen dioxide) and daily admissions for mental disorders to the emergency department of two general hospitals in Umbria region (Italy). We collected data about daily admissions to psychiatric emergency services of two general hospitals, air pollutants' levels and meteorological data for the time period 1 January 2015 until 31 December 2016. We assessed the impact of an increase in air pollutants on the number of daily admissions using a time-series econometric framework. A total of 1860 emergency department admissions for mental disorders were identified. We observed a statistically significant impact of ozone levels on daily admissions. The estimated coefficient of O3 is statistically significant at the 1% level. All other pollutants were not significantly associated with the number of daily admissions. Short-term exposure to ozone may be associated with increased psychiatric emergency services admissions. Findings add to previous literature on existing evidence for air pollution to have an impact on mental health. Ozone may be considered a potential environmental risk factor for impaired mental health.

Impact of economic crises on mental health care: a systematic review.

Unmet needs for mental health treatment are large and widespread, and periods of economic crisis may increase the need for care and the treatment gap, with serious consequences for individuals and society. The aim of this systematic review was to summarise the empirical evidence on the association between periods of economic crisis and the use of mental health care. Following the PRISMA statement, MEDLINE, Embase, Scopus, Open Grey and Cochrane Database were searched for relevant publications, published between 1990 and 2018, from inception to June 2018. Search terms included (1) economic crisis, (2) use of mental health services and (3) mental health problems. Study selection, data extraction and the assessment of study quality were performed in duplicate. Seventeen studies from different countries met the inclusion criteria. The results from the included articles suggest that periods of economic crisis might be linked to an increase of general help sought for mental health problems, with conflicting results regarding the changes in the use of specialised psychiatric care. The evidence on the use of mental health care specifically due to suicide behaviour is mixed. The results also suggest that economic crises might be associated with a higher use of prescription drugs and an increase in hospital admissions for mental disorders. Research on the impact of economic crises on the use of mental health care is scarce, and methodologies of the included papers are prone to substantial bias. More empirical and long-term studies on this topic are needed, in order to adapt mental health care systems to the specific needs of the population in times of economic crisis.

Direct medical costs of hospitalisations for mental disorders in Shanghai, China: a time series study

ObjectivesTo provide cost burden estimates and long-term trend forecast of mental disorders that need hospitalisations in Shanghai, China.DesignDaily hospital admissions and medical expenditures for mental disorder hospitalisations between 1 January...

Ambient air pollution and daily hospital admissions for mental disorders in Shanghai, China

Few studies have investigated the associations between ambient air pollution and mental disorders (MDs), especially in developing countries. We conducted a time-series study to explore the associations between six criteria air pollutants and daily hospital admissions for MDs in Shanghai, China, from 2013 to 2015. The MDs data were derived from the Shanghai Health Insurance System. We used over-dispersed, generalized additive models to estimate the associations after controlling for time trend, weather conditions, day of the week, and holidays. In addition, we evaluated the effect of modification by age, sex, and season. A total of 39,143 cases of hospital admissions for MDs were identified during the study period. A 10-μg/m3 increase in 2-day, moving-average concentration of inhalable particulate matter, sulfur dioxide (SO2), and carbon monoxide was significantly associated with increments of 1.27% [95% confidence interval (CI): 0.28%, 2.26%], 6.88% (95% CI, 2.75%, 11.00%), and 0.16% (95% CI: 0.02%, 0.30%) in daily hospital admissions for MDs, respectively. We observed positive but insignificant associations of fine particulate matter, nitrogen dioxide and ozone. The estimated association of SO2 was relatively robust to the adjustment of simultaneous exposure to other pollutants. We found generally stronger associations of air pollutants with MDs in warm seasons than in cool seasons. There were no significant differences in the associations between different sex and age groups. This study suggested that short-term exposure to air pollution, especially to sulfur dioxide, was associated with increased risk of hospital admissions for MDs in Shanghai, China.

[Hospital admissions and morbidity in people with intellectual developmental disorders].

People with intellectual developmental disorders (IDD) have worse health statuses in comparison with general population. The objective of this paper is to compare access and hospital morbimortality in people with IDD and general population. We conducted a retrospective cross-sectional analytical study and analyzed data on admissions and discharges between IDD patients and the rest of them, in Ciudad Real, España. Out of 51 325 hospital admissions, 441 (0.9%) belonged to the group of persons with IDD. The IDD group had fewer programmed hospitalization than the general population and fewer surgical interventions. They presented more admissions for mental disorders and respiratory system diseases. The data presented confirm TDI population have different patterns of disease. Furthermore, this study reveal potential difficulties in access to health care in this population.

Particulate matter air pollution associated with hospital admissions for mental disorders: A time-series study in Beijing, China

Particulate matter air pollution associated with hospital admissions for mental disorders: A time-series study in Beijing, China

Effects of ambient temperature on daily hospital admissions for mental disorders in Shanghai, China: A time-series analysis

BackgroundEvidence for extreme ambient temperature effects on the risk of mental disorders (MDs) is limited. In this study, we evaluated the short-term effects of daily mean temperature on hospital admissions of MDs in Shanghai, China. MethodsWe obtained daily hospital admission data for MDs, daily meteorological and ambient pollution data in Shanghai from January 2008 to December 2015. Adjusted for time trend, air pollution, relative humidity and other confounders, a quasi-Poisson generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM) was used to analyze the lag-exposure-response relationship between daily mean temperature and hospital admissions for MDs. ResultsTotal daily hospital admissions for MDs during the study period were 93,971. With a reference of median temperature (18.3°C), there was a significant positive association between the temperature above threshold (24.6°C) and MD hospital admission visits at a lag of 0–1days. The relative risks of extreme hot temperatures (33.1°C, 99% percentile) over the lag 0–1days compared to median temperature were 1.266 (95% confidence intervals: 1.074–1.493). No effect of cold weather on the hospital admissions for MDs was observed. ConclusionsThis study suggests that extreme hot temperature poses significant risks on MD; health counseling and cooling measures should be considered for the susceptible population.

Seasonality of hospital admissions for mental disorders in Hanoi, Vietnam

BackgroundSome studies have shown a relationship between seasonality in weather patterns and depressive and behavioural disorders, especially in temperate climate regions. However, there is a lack of studies describing the seasonal patterns of hospital admissions for a variety of mental disorders in tropical and subtropical nations. The aim of this study has been to examine the relationship between seasons and daily hospital admissions for mental disorders in Hanoi, Vietnam.DesignsA 5-year database (2008–2012) compiled by Hanoi Mental Hospital covering mental disorder admissions diagnosed by the International Classification of Diseases 10 was analysed. A negative binominal regression model was applied to estimate the associations between seasonality and daily hospital admissions for mental disorders, for all causes and for specific diagnoses.ResultsThe summer season indicated the highest relative risk (RR=1.24, confidence interval (CI)=1.1–1.39) of hospital admission for mental disorders, with a peak in these cases in June (RR=1.46, CI=1.19–1.7). Compared to other demographic groups, males and the elderly (aged over 60 years) were more sensitive to seasonal risk changes. In the summer season, the RR of hospital visits among men increased by 26% (RR=1.26, CI=1.12–1.41) and among the elderly by 23% (RR=1.23, CI=1.03–1.48). Furthermore, when temperatures including minimum, mean, and maximum increased 1°C, the number of cases for mental disorders increased by 1.7%, 2%, and 2.1%, respectively.ConclusionThe study results showed a correlation between hospital admission for mental disorders and season.

Heat Waves and Hospital Admissions for Mental Disorders in Northern Vietnam

Heat Waves and Hospital Admissions for Mental Disorders in Northern Vietnam

Heatwaves and Hospital Admissions for Mental Disorders in Northern Vietnam.

Studies in high-income countries have shown an association between heatwaves and hospital admissions for mental disorders. It is unknown whether such associations exist in subtropical nations like Vietnam. The study aim was to investigate whether hospital admissions for mental disorders may be triggered, or exacerbated, by heat exposure and heatwaves, in a low- and middle-income country, Vietnam. For this, we used data from the Hanoi Mental Hospital over five years (2008–2012) to estimate the effect of heatwaves on admissions for mental disorders. A zero-inflated negative binomial regression model accounting for seasonality, time trend, days of week, and mean humidity was used to analyse the relationship. Heatwave events were mainly studied as periods of three or seven consecutive days above the threshold of 35°C daily maximum temperature (90th percentile). The study result showed heatwaves increased the risk for admission in the whole group of mental disorders (F00-79) for more persistent heatwaves of at least 3 days when compared with non-heatwave periods. The relative risks were estimated at 1.04 (0.95–1.13), 1.15 (1.005–1.31), and 1.36 (1–1.90) for a one-, three- and seven-day heatwave, respectively. Admissions for mental disorders increased among men, residents in rural communities, and the elderly population during heatwaves. The groups of organic mental disorders, including symptomatic illnesses (F0-9) and mental retardation (F70-79), had increased admissions during heatwaves. The findings are novel in their focus on heatwave impact on mental diseases in a population habituating in a subtropical low- and middle-income country characterized by rapid epidemiological transitions and environmental changes.

Mental disorders in new parents before and after birth: a population-based cohort study.

BackgroundMental disorders of women during the postnatal period are a major public health problem. Compared with women’s mental disorders, much less attention has been paid to men’s mental disorders in the perinatal period. To date, there have been no reports in the literature describing secular changes of both maternal and paternal hospital admissions for mental disorders over the period covering the year before pregnancy (non-parents), during pregnancy (expectant parents) and up to the first year after birth (parents) based on linked parental data. The co-occurrences of couples’ hospital admissions for mental disorders have not previously been investigated.AimsTo describe maternal and paternal hospital admissions for mental disorders before and after birth. To compare the co-occurrences of parents’ hospital admissions for mental disorder in the perinatal period.MethodThis is a cohort study using paired parents’ population data from the New South Wales (NSW) Perinatal Data Collection (PDC), Registry of Births, Deaths and Marriages (RBDM) and Admitted Patients Data Collection (APDC). The study included all parents (n=196 669 couples) who gave birth to their first child in NSW between 1 January 2003 and 31 December 2009.ResultsThe hospital admission rate for women with a principal mental disorder diagnosis in the period between the year before pregnancy and the first year after birth was significantly higher than that for men. Parents’ mental disorders influenced each other. If a man was admitted to hospital with a principal mental disorder diagnosis, his wife or partner was more likely to be admitted to hospital with a principal mental disorder diagnosis compared with women whose partner had not had a hospital admission, and vice versa.ConclusionsMothers’ mental disorders after birth increased more significantly than fathers. However, fathers’ mental disorders significantly impacted the co-occurrence of mothers’ mental disorders.Declaration of interestNone.Copyright and usage© The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Psykiatriske tvangsinnleggelser i Østfold i 2000 og 2010

For many years, it has been an objective of national public health policy in Norway to reduce the number of compulsory hospitalisations under the Norwegian Mental Health Care Act. Uncertain data quality and inadequate reporting have made it difficult to obtain reliable measurements of hospitalisation trends. We have examined changes in psychiatric emergency admissions and compulsory hospitalisations under the Mental Health Care Act between 2000 and 2010 in the county of Østfold. The material on which the study is based was gathered during two three-month periods – from 1 September to 30 November in the years 2000 and 2010 respectively. We compared emergency admissions in accordance with the national care quality indicator for compulsory hospitalisation in mental health care and examined whether there were changes in the diagnostic composition. The number of emergency admissions per 1,000 population in Østfold increased from a rate of 7.05 in 2000 to 8.86 in 2010 (p < 0.001). There was no significant change in the rate of compulsory hospitalisation during this period, being 2.48 and 2.24 per 1,000 population, respectively. There was a sharp increase in the number of admissions for mental disorders related to alcohol and illicit drug abuse. The study material showed that there was a significant increase in psychiatric emergency admissions between 2000 and 2010. The rate of compulsory hospitalisation, measured among the population over the age of 18, remained unchanged during the period. The Norwegian Board of Health Supervision's care quality indicator for compulsory hospitalisation in mental health care can contribute to providing information and a basis of comparison for the use of compulsory hospitalisation, provided that the data submitted is quality assured. The highest increase was seen in the group of emergency admissions for mental disorders related to alcohol and illicit drug abuse as the principal diagnosis.