Need estimates of psychiatric beds: a systematic review and meta-analysis.

This study aimed to review and synthesize the need estimates for psychiatric beds, explore how they changed over time and compare them against the prevalence of actually existing beds. We searched PubMed, Embase classic and Embase, PsycINFO and PsycIndex, Open Grey, Google Scholar, Global Health EBSCO and Proquest Dissertations, from inception to September 13, 2022. Publications providing estimates for the required number of psychiatric inpatient beds were included. Need estimates, length of stay, and year of the estimate were extracted. Need estimates were synthesized using medians and interquartile ranges (IQRs). We also computed prevalence ratios of the need estimates and the existing bed capacities at the same time and place. Sixty-five publications with 98 estimates were identified. Estimates for bed needs were trending lower until 2000, after which they stabilized. The twenty-six most recent estimates after 2000 were submitted to data synthesis (n = 15 for beds with unspecified length of stay, n = 7 for short-stay, and n = 4 for long-stay beds). Median estimates per 100 000 population were 47 (IQR: 39 to 50) beds with unspecified length of stay, 28 (IQR: 23 to 31) beds for short-stay, and 10 (IQR: 8 to 11) for long-stay beds. The median prevalence ratio of need estimates and the actual bed prevalence was 1.8 (IQR: 1.3 to 2.3) from 2000 onwards. Historically, the need estimates for psychiatric beds have decreased until about 2000. In the past two decades, they were stable over time and consistently higher than the actual bed numbers provided.

Specialised psychiatric beds and 24-hour residential care in Australia 2018-2019 - Comparative analysis and commentary according to international benchmarking.

OBJECTIVE: A commentary on Australian specialised private and public psychiatric acute and non-acute inpatient care, and 24-hour-staffed community residential care with regard to international benchmarks. METHOD: Descriptive analysis of specialised psychiatric beds from the Australian Institute of Health and Welfare (AIHW) with the WHO Mental Health Atlas 2020, and an international Delphi consensus on optimal and minimal psychiatric beds per capita. RESULTS: Australian private sector beds have shown a 3.8% annual growth rate from 2014-15 to 2018-19, in contrast to relatively static public sector bed numbers. Australia's national combined public and private psychiatric bed number (hospital acute and non-acute, and 24-hour-staffed community residential) of 48.8 per 100,000 population is lower than the WHO European (100.6) and World Bank High Income (69.2) medians, due to fewer community residential and non-acute beds. Australia's 40.9 general and stand-alone psychiatric beds per 100,000 are below the Delphi consensus optimal level of 60 beds per 100,000, but above the bed shortage threshold (30 per 100,000). CONCLUSIONS: Rising bed numbers in private hospitals have contributed to Australian psychiatric inpatient capacity, although the level remains below comparable international medians. Recent initiatives to increase psychiatric bed numbers may signal a policy shift in the public sector, complementary to private and community care.

Widespread emergency department access block: a human rights issue in Australia?

OBJECTIVE:: There are increasing demands on emergency psychiatrists with higher numbers of mental health presentations, and longer stays in emergency departments (EDs). Australia, like other English speaking countries, funds considerably lower numbers of psychiatric beds than average for Organisation for Economic Co-operation and Development (OECD) countries. Consequently, acute bed occupancy is high, and a bed is frequently unavailable when a person needs admission. Patients with serious mental illness can wait days in busy and overstimulating EDs, become agitated and assaultive, and then require chemical and physical restraint. All patients have a right to safe high quality care, but the paucity of beds deprives patients of this right. The Australasian College of Emergency Medicine recommends reporting ED access block to health ministers, and human rights and/or health rights commissioners, and recommends increased funding for inpatient psychiatric care, emergency mental health and after-hours community services, together with more alcohol and other drug programs. CONCLUSIONS:: It is challenging for emergency physicians and psychiatrists to provide optimal care for acutely unwell patients who stay extended periods in the ED. Increasing the availability of inpatient care must be considered as part of a comprehensive solution for minimising ED lengths of stay in Australia.

Observed Outcomes: An Approach to Calculate the Optimum Number of Psychiatric Beds.

The number of psychiatric beds, in most developed countries, has decreased progressively since the late 1950s. Many clinicians believe that this reduction has gone too far. But how can we determine the number of psychiatric beds a mental health system needs? While the population health approach has advantages over the normative approach, it makes assumptions about optimal and minimum duration of hospitalization required for various psychiatric disorders. In this paper, we describe a naturalistic approach that estimates the required number of psychiatric beds by comparing the bed levels at which negative outcomes develop in different jurisdictions. We hypothesize that there will be a threshold below which negative outcomes will be seen across jurisdictions. We predict that hospital key performance indices will be more sensitive to bed reductions than the clinical and social outcomes of patients. The observed outcome approach can complement other approaches to determining bed numbers at the national and local levels, and should be a priority for future health services research.

Why did China's mental health law have a limited effect on decreasing rates of involuntary hospitalization?

BACKGROUND: China's Mental Health Law (MHL) implemented in 2013 required increased consideration of the rights of people with mental illness and was expected to lead to a reduction in involuntary hospitalization (IH). This study aimed to examine the rates and correlates of IH in a large psychiatric hospital in Guangzhou from 2014 to 2017 after the implementation of MHL and a structured assessment of the need for IH. METHODS: Unduplicated electronic medical records concerning all inpatients admitted to the hospital with a primary psychiatric diagnose were examined. Diagnostic, sociodemographic and socioeconomic data were used to identify correlates of IH using bivariate chi-square tests followed by logistic regression analysis. RESULTS: Of 10, 818 hospitalized patients, there was a significant but small increase, from 71.6 to 74.9% in rates of IH in the years after a structured assessment of need for IH was implemented. Logistic regression analysis showed IH was positively associated with being younger, having a local residence, and a diagnosis of bipolar disorder, schizophrenia spectrum disorders or a substance abuse disorder as compared to those diagnosed with major depressive disorder. CONCLUSIONS: IH did not decrease over the first four years after the implementation of China's MHL and a structured assessment in 2013 perhaps, reflecting the initiation of a systematic assessment of the need for IH and the relatively low number of psychiatric beds in this area.

Benchmarks for Needed Psychiatric Beds for the United States: A Test of a Predictive Analytics Model.

The ideal balanced mental health service system presupposes that planners can determine the need for various required services. The history of deinstitutionalization has shown that one of the most difficult such determinations involves the number of needed psychiatric beds for various localities. Historically, such assessments have been made on the basis of waiting and vacancy lists, expert estimates, or social indicator approaches that do not take into account local conditions. Specifically, this study aims to generate benchmarks or estimated rates of needed psychiatric beds for the 50 U.S. states by employing a predictive analytics methodology that uses nonlinear regression. Data used were secured primarily from the U.S. Census' American Community Survey and from the Substance Abuse and Mental Health Administration. Key predictors used were indicators of community mental health (CMH) service coverage, mental health disability in the adult population, longevity from birth, and the percentage of the 15+ who were married in 2018. The model was then used to calculate predicted bed rates based on the 'what-if' assumption of an optimal level of CMH service availability. The final model revealed an overall rate of needed beds of 34.9 per 100,000 population, or between 28.1 and 41.7. In total, 32% of the states provide inpatient psychiatric care at a level less than the estimated need; 28% at a level in excess of the need; with the remainder at a level within 95% confidence limits of the estimated need. These projections are in the low range of prior estimates, ranging from 33.8 to 64.1 since the 1980s. The study demonstrates the possibility of using predictive analytics to generate individualized estimates for a variety of service modalities for a range of localities.

The Impact of Reducing Psychiatric Beds on Suicide Rates.

There has been ongoing debate regarding the impact of reductions in psychiatric beds on suicide rates, and the potential effect of reallocation of acute hospital funding to community-based mental health programs and services. Computer simulation offers significant value in advancing such debate by providing a robust platform for exploring strategic resource allocation scenarios before they are implemented in the real world. We report an application that demonstrates a threshold effect of cuts to psychiatric beds on suicide rates and the role of context specific variations in population, behavioral, and service use dynamics in determining where that threshold lies. Findings have important implications for regional decision-making regarding resource allocation for suicide prevention.

How has the extent of institutional mental healthcare changed in Western Europe? Analysis of data since 1990.

OBJECTIVES: It has been suggested that since 1990, de-institutionalisation of mental healthcare in Western Europe has been reversed into re-institutionalisation with more forensic beds, places in protected housing services and people with mental disorders in prisons. This study aimed to identify changes in the numbers of places in built institutions providing mental healthcare in Western Europe from 1990 to 2012, and to explore the association between changes in psychiatric bed numbers and changes in other institutions. SETTINGS AND DATA: Data were identified from 11 countries on psychiatric hospital beds, forensic beds, protected housing places and prison populations. Fixed effects regression models tested the associations between psychiatric hospital beds with other institutions. RESULTS: The number of psychiatric hospital beds decreased, while forensic beds, places in protected housing and prison populations increased. Overall, the number of reduced beds exceeded additional places in other institutions. There was no evidence for an association of changes in bed numbers with changes in forensic beds and protected housing places. Panel data regression analysis showed that changes in psychiatric bed numbers were negatively associated with rising prison populations, but the significant association disappeared once adjusted for gross domestic product as a potential covariate. CONCLUSIONS: Institutional mental healthcare has substantially changed across Western Europe since 1990. There are ongoing overall trends of a decrease in the number of psychiatric hospital beds and an increase in the number of places in other institutions, including prisons. The exact association between these trends and their drivers remains unclear. More reliable data, information on the characteristics of patients in different institutions, long-term pathway analyses and effectiveness studies are required to arrive at evidence-based policies for the provision of institutional mental healthcare.