Literature DB >> 31771677

Patterns of use of the Mental Health Act 1983, from 2007-2008 to 2016-2017, in two major London secondary mental healthcare providers.

Sian Oram1, Craig Colling2, Megan Pritchard3, Mizanur Khondoker4, Daniela Fonseca de Freitas5, Lucile Ter-Minassian6, Johnny Downs7, Brynmor Lloyd-Evans8, Sarah Markham9, Nomi Werbeloff10, Chin-Kuo Chang11, Sonia Johnson12, Matthew Hotopf13, Richard D Hayes14.   

Abstract

Trends in detention under the Mental Health Act 1983 in two major London secondary mental healthcare providers were explored using patient-level data in a historical cohort study between 2007-2008 and 2016-2017. An increase in the number of detention episodes initiated per fiscal year was observed at both sites. The rise was accompanied by an increase in the number of active patients; the proportion of active patients detained per year remained relatively stable. Findings suggest that the rise in the number of detentions reflects the rise of the number of people receiving secondary mental healthcare.

Entities:  

Keywords:  Compulsory admission; Mental Health Act; epidemiology

Year:  2019        PMID: 31771677      PMCID: PMC7000989          DOI: 10.1192/bjo.2019.84

Source DB:  PubMed          Journal:  BJPsych Open        ISSN: 2056-4724


In the UK, detentions under the Mental Health Act 1983 (MHA) are reported to have risen steadily over the past three decades.[1,2] This rise may be because of more people being detained, an increase in re-detention or both. However, it has not been possible, using national statistics, to measure directly any increase in the level of re-detention. This historical cohort study used patient-level data to explore trends in detention in two secondary mental health trusts in inner London from 2007–2008 to 2016–2017.

Method

Data were extracted from the Case Register Interactive Search (CRIS) systems at South London and Maudsley NHS Foundation Trust (SLAM) and Camden and Islington NHS Foundation Trust (C&I). CRIS allows researchers to search and retrieve de-identified electronic mental health records within an approved governance framework.[3,4] Individuals receiving active care by SLAM or C&I at any time in a given fiscal year during the observation period (the 2007–2008 to 2016–2017 fiscal years at SLAM, inclusive, and the 2009–2010 to 2015–2016 fiscal years at C&I) were included. Active care was defined as at least one face-to-face clinical encounter and/or a ward stay of at least 1 day. The population studied was working age adults (18–65 years, inclusive) from the SLAM and C&I catchment areas (based on their residential or general practitioner's address). This excluded non-resident patients transferred out of area to receive care at SLAM and C&I (these patients generally required national and specialist services and may not have been representative of locally resident patients), and patients detained to private hospitals. Homeless people are included. Part 2, part 3 and supplementary sections were included. Analyses focused on episodes of detention under the MHA (‘detention episodes’) and were conducted separately by site and fiscal year. Multiple sections of the MHA can be applied during a detention episode (for example a person may be detained for assessment under section 2, then detained for treatment under section 3). If sections were used contiguously, they were a single episode. If there was a gap of more than 1 day between the end of one section and the start of a new section, this was a new episode. Analyses considered whether any increase in total number of detention episodes was accounted for by more people being detained at least once, or by those who were detained experiencing this more frequently. We analysed (a) whether the number and proportion of patients detained at least once in a fiscal year increased year on year; and (b) whether, among those detained at least once in a fiscal year, the median number of detentions per person per year increased year on year. Analyses also considered duration of detention over time, in order to investigate whether any increase in detentions might be explained by a decrease in the number of days per detention. Ethical approvals were provided by the Oxford C Research Ethics Committee (18/SC/0372 – SLAM) and the National Research Ethics Service Committee East of England – Cambridge Central (14/EE/0177 – C&I). The SLAM and C&I CRIS Oversight Committees approved the presented analyses.

Results

An increase in the number of detention episodes initiated per fiscal year was recorded at both Trusts, accompanied by an increase in the number of active patients. The proportion of active patients with at least one detention episode initiated during the fiscal year remained relatively stable (Table 1). At SLAM, the number of detention episodes increased from 1786 in 2007–2008 to 2374 in 2016–2017 (a 33% increase). During the same period the number of active patients increased from 23 226 to 27 153 (a 17% increase) and the proportion detained changed from 6.4 to 6.8%. The greatest increase occurred between 2007–2008 and 2009–2010, during which time there was a 12% increase in the number of detentions (from 1786 to 2005) and an 11% increase in the number of active patients (from 23 226 to 25 673). Data from C&I were available for 2009–2010 to 2015–2016 only. There was more year on year variation, but an overall increase in the number of detention episodes from 655 to 739 (a 13% increase). During the same period the number of active patients increased from 12 131 to 15 123 (a 25% increase) and the proportion detained changed from 4.6 to 4.2%.
Table 1

Detention episodes at South London and Maudsley NHS Foundation Trust (SLAM) and Camden and Islington NHS Foundation Trust (C&I)

SLAM NHS Foundation TrustC&I NHS Foundation Trust
Detention episodes, nActive patients, nActive patients with detention episode, n (%)Detention episodes, nActive patients, nActive patients with detention episode, n (%)
2007–2008178623 2261493 (6.4)
2008–2009190225 2191552 (6.2)
2009–2010200525 6731608 (6.3)65512 131562 (4.6)
2010–2011209726 7111665 (6.2)71812 579576 (4.6)
2011–2012215626 0631714 (6.6)68312 483553 (4.4)
2012–2013221326 1861768 (6.8)67313 018569 (4.4)
2013–2014228126 9221782 (6.6)72913 490606 (4.5)
2014–2015235027 5851875 (6.8)63913 539534 (3.9)
2015–2016230727 7061800 (6.5)73915 123629 (4.2)
2016–2017237427 1531857 (6.8)
Detention episodes at South London and Maudsley NHS Foundation Trust (SLAM) and Camden and Islington NHS Foundation Trust (C&I) The median number of detention episodes initiated per patient per fiscal year (our measure of re-detention) was stable over time at each Trust, the median being uniformly 1.0 in SLAM and in C&I across the observation period. Different patterns were observed regarding the median duration of detention for active patients who had at least 1 day detained during the fiscal year. At SLAM the median duration of detention ranged from 39 to 54 days, with no clear trend over time. An increase in the median duration of detention was observed at C&I, from 51 days in 2009–2010 to 61.5 days in 2015–2016. Further, when considering mean detention rates over the course of the study and between trusts, SLAM had a small increase (from 1.2 to 1.3) whereas these were stable at C&I (at 1.2).

Discussion

Analyses showed a rising trend in detention under the MHA: the number of detention episodes increased by 33% in SLAM between 2007–2008 and 2016–2017 and by 13% in C&I between 2009–2010 to 2015–2016. This increase is less pronounced than would have been expected from national data, which indicated that detentions increased by 47% nationally between 2005–2006 and 2015–2016.[5] This discrepancy may add weight to the hypothesis, advanced by the Care Quality Commission (CQC), that the increase in the rate of detention since 2010 is in part as a result of national data becoming more complete or to increased problems of double counting.[6] This disparity may also reflect the increase in detention to private hospitals.[5] Analyses also show that the increase in detentions at these Trusts may reflect an increase in the number of patients seen, with only modest changes to the proportion of patients being detained and little evidence that the same individuals were being detained more often over time. There are many potential reasons for such an increase,[7,8] including – and as highlighted by the CQC - the increase in the local population.[6] Population estimates indicate that the population served by C&I increased by 14% between 2009 and 2015; the population served by SLAM similarly increased by 14% between 2007 and 2016.[9] Reasons may also include increased risk of developing a mental disorder because of social and economic change, increased help-seeking,[7,8] and increased awareness and responsiveness to mental disorder among healthcare professionals.[2] Further discussion of the findings is provided in Box 1 by a member of the NIHR Mental Health Policy Research Unit's Lived Experience Working Group. NIHR Mental Health Policy Research Unit's lived experience working group commentary The findings of this study demonstrate that at both sites, both the number of detentions per year and the number of active patients rose over the considered time period. However, although the percentage of active patients detained under the Mental Health Act (MHA) increased slightly over the time period for one site, for the other it decreased slightly. As a patient who has experienced detention under the MHA, I am aware of the extent to which it can be both traumatising and damaging to one's confidence in mental health services. Detention is best avoided and is seldom experienced as therapeutic or helpful, even when perceived by an individual as having potentially saved their life.[1] Therefore, it is positive that the overall number of detentions per individual did not increase over time; although it is unfortunate that at both sites the actual number of detentions per year did increase, and that at one site the mean length of detention per active patient detained also increased. It is interesting to note also that at both sites the number of active patients increased and prompts the question as to why? In the discussion section the assumption is made that the number of active patients explains the increase in number of detentions per year, which is supported by the relative stability over the considered time period of the ratio of active patients detained. The discussion section also suggests possible causes for the increase in the number of active patients. In one site the increase in number of detentions was matched by a proportionate increase in the population of the site, yet in the other the increase in the number of detentions was proportionately over twice the increase in the population of the site. It would be useful to determine the reasons behind this difference; for instance, whether it is because of differences in changes in mental health service provision and/or socio-environmental factors between the two sites over the considered time period. This study suggests that the national rise in the rate of detentions under the MHA may be the result of increases in the number of people detained rather than increases in the number of detentions per individual. Given the adverse nature of patients' experiences of detention under the MHA, as evidenced by the current Independent Review of the MHA,[10] this increase needs to be better understood with a view to reversing the current trend. Sarah Markham (S. Markham, personal communication, 2019)

Strengths and limitations

CRIS offers several advantages over other types of routine data in investigating trends in MHA use. It provides patient-level, longitudinal data on demographic and clinical factors and on MHA detentions. In contrast with some national data that provides only the raw number of detentions,[5] we could account for the number of individuals receiving care. However, there are limitations. Data are drawn from two London-based NHS trusts that are diverse both in terms of deprivation and ethnicity and may not be representative of wider national trends.[5] Analyses do not account for potential confounders and it was beyond the scope of this study to investigate drivers of clinical decision-making or the impact of sociodemographic and economic factors.

Implications

In addition to highlighting the need for reliable routine data systems, this study reveals that the rising number of detentions may mainly reflect the rise of the number of people receiving mental healthcare. Future research should include investigation of this increase and multivariate analyses to investigate drivers of changes in the number of detentions and re-detentions over time and across different areas of England. Analyses should be replicated in trusts outside of London with access to systems such as CRIS and consideration given to developing similar systems in trusts lacking this type of resource.
  4 in total

1.  Changing patterns in the use of the Mental Health Act 1983 in England, 1984-1996.

Authors:  M Hotopf; S Wall; A Buchanan; S Wessely; R Churchill
Journal:  Br J Psychiatry       Date:  2000-05       Impact factor: 9.319

2.  Changes in the use of the Mental Health Act 1983 in England 1984/85 to 2015/16.

Authors:  Patrick Keown; Hannah Murphy; Dannielle McKenna; Iain McKinnon
Journal:  Br J Psychiatry       Date:  2018-08-02       Impact factor: 9.319

3.  The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data.

Authors:  Robert Stewart; Mishael Soremekun; Gayan Perera; Matthew Broadbent; Felicity Callard; Mike Denis; Matthew Hotopf; Graham Thornicroft; Simon Lovestone
Journal:  BMC Psychiatry       Date:  2009-08-12       Impact factor: 3.630

4.  Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource.

Authors:  Gayan Perera; Matthew Broadbent; Felicity Callard; Chin-Kuo Chang; Johnny Downs; Rina Dutta; Andrea Fernandes; Richard D Hayes; Max Henderson; Richard Jackson; Amelia Jewell; Giouliana Kadra; Ryan Little; Megan Pritchard; Hitesh Shetty; Alex Tulloch; Robert Stewart
Journal:  BMJ Open       Date:  2016-03-01       Impact factor: 2.692

  4 in total

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