Health Service Research Department, Institute of Psychiatry, Kings College London, London
Department of Psychiatry, University of Manchester, Manchester
Health Service Research Department, Institute of Psychiatry, Kings College London, London
Edenfield Centre, Mental Health Services for Salford, Manchester, UK
Correspondence: Professor GrahamThornicroft, Section of Community Psychiatry (PRiSM), Institute of Psychiatry, Kings College London, De Crespigny Park, London SE5 8AF, UK. Tel: ++44 (0)20 7848 0735; fax: +44 (0)20 7277 1462; e-mail: g.thornicroft{at}iop.kcl.ac.uk
Declaration of interest None. Funding detailed in Acknowledgements.
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Aims To describe the sociodemographic, clinical and offence characteristics of patients in high-security psychiatric hospitals (HSPHs) in England, and to compare admission rates and unmet needs by ethnic group.
Method A total of 1255 in-patients were interviewed, and their legal status, socio-demographic characteristics and individual treatment needs were assessed.
Results Black patients in HSPHs are over-represented by 8.2 times (range 3.224.4,95% CI 7.19.3), are more often male (P=0.037), and are more often diagnosed with a mental illness and less often diagnosed with a personality disorder or learning disability (P<0.001) than White patients. Unmet needs were significantly less common among White than among Black patients (mean values of 2.22 v. 2.62, difference=0.40,95% CI 0.060.73).
Conclusions Compared with the proportion of Black patients in the general population in their region of origin, a much higher proportion of Black patients were admitted to HSPHs, and fewer of their needs were met.
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This investigation took place in the context of a study designed to assess the needs of all patients in the three HSPHs in England. These hospitals are the treatment settings that are used for mentally disordered offenders who have committed the most serious crimes. Staggered census dates were used for each of the following groups of patients during the period 19992000: women detained under all legal classifications; men detained under the legal classification of mental impairment or severe mental impairment; men detained under the legal classification of mental illness or dual legal classification (excluding mental impairment or severe mental impairment); and men detained under the legal classification of psychopathic disorder. All in-patients at the three HSPHs in England were included on these census dates. The only exclusion criterion was being on trial leave. Ethical approval was granted by the local research ethics committees at the Institute of Psychiatry, Ashworth, Broadmoor and Rampton Hospitals. The study is described in more detail elsewhere (Harty et al, 2004; Thomas et al, 2004a,b).
Measures
The following scales were used.
The Camberwell Assessment of Need ForensicShort Version (CANFORS; Thomas et al, 2003) is a forensically orientated version of the CAN (Slade et al, 1999). It covers 25 domains of frequent or important problem areas for people with severe mental disorders in forensic settings. It rates met and unmet needs in each of these domains, and it can be completed by staff, by patients or by both. Here we report the results of the CANFORS completed by staff for all patients.
The Camberwell Assessment of Need: Developmental and Intellectual DisabilitiesShort Version (CANDIDS; Xenitidis et al, 2000) is an adaptation of the CAN that is designed to assess the needs of individuals with learning disabilities and mental illness. In order to avoid overlap with the CANFORS, only six items in the CANDIDS were included, namely eyesight and hearing, mobility, seizures, exploitation risk, inappropriate behaviour and problems with communication. These areas are not specifically covered in the CANFORS, and were considered to be important aspects of need that were potentially relevant to all patients irrespective of legal classification. This abridged version of the CANDIDS was applied to all patients.
An adapted version of the Nottingham Acute Bed Utilisation Study (NABUS) questionnaire was also used. This scale is a forensic adaptation of the Nottingham Acute Bed Study: Alternatives to Acute Psychiatric Care questionnaire. Respondents rated patients current placement needs. Placement options ranged from secure hospital placements to supported and independent accommodation in the community. The reasons for previous placement failure were also recorded (Beck et al, 1997).
The Security Dependency Treatment Political Secure Care Scale (SDTP; Shaw et al, 2001) was used to assess serviceoriented need according to a visualanalogue scale. This scale measures need for security, dependency needs, treatment needs, and so-called political needs. The latter include consideration of media profile of particular patients, and factors such as Home Office status, which may affect placement need.
The following sources were used to gather information. The High-Security Hospital Case Register was used to obtain socio-demographic information and also a psychiatric and forensic history. A case-note review was conducted for all patients to obtain information on current legal classification and clinical diagnosis, which was confirmed by the high-secure responsible medical officer (RMO). ICD10 criteria (World Health Organization, 1992) were used to categorise the clinical diagnoses recorded by hospital staff under the supervision of the RMO. IQ data were obtained from HSPH psychology files. The primary nurse was interviewed to obtain information for completion of the CANFORS and CANDIDS, and the high-security hospital RMO was interviewed to obtain information for completion of the adapted version of the NABUS.
The RMO and primary nurse were not blind to the aims of the study in general, but were unaware of our intention to investigate ethnicity in particular. Information on ethnicity was derived from the High-Security Hospital Case Register at Broadmoor Hospital, which records patients ethnic group according to self-report during a face-to-face interview shortly after admission to the HSPH, using standard Office for National Statistics (ONS) categories. For the purposes of data analysis the categories that were included as Black in this study were Black Caribbean, Black African and Black Other (as self-descriptions by patients). There were 143 Black Caribbean, 25 Black African and 35 Black Other patients. Because of the small numbers of patients in the latter two groups, all three groups were combined (as in a previous study by Maden et al, 1999b) to give a sample consisting of 878 White and 203 Black people.
Region of origin
Each patients region of origin was determined from their last known
address (or the place of the index offence if the patient was of no fixed
abode). Because of boundary changes, the regions were recoded into regional
health authorities as defined in 2001.
Census population figures for administrative regions that approximately corresponded to these authorities were obtained to enable the proportion of Black people relative to the total population to be estimated (Office for National Statistics, 2001). For the North Region the average population figures for the North East, Yorkshire and the Humber were used, and for the Trent Authority the East Midlands figure was used.
Data acquisition, validation and statistical analysis
Regular training meetings were held for research workers from the three
hospitals to enhance the reliable collection of data between sites. Data were
entered into a Microsoft Access database and were analysed using the
Statistical Package for the Social Sciences for Windows, version 11 software.
A sample of case-register data was cross-validated with case notes. Data were
securely transported and entered at the lead site (Institute of
Psychiatry/Broadmoor Hospital). A random sample of 20% of the entered data was
rechecked for errors.
The two groups were compared using chi-squared tests (for categorical variables) and t-tests (for continuous variables), assuming unequal variances where appropriate. Unmet needs that differed between groups at P<0.05 were modelled using logistic regression, to adjust for the confounding effect of background variables. The proportion of Black patients for whom each regional health authority was responsible was compared with the proportion in the population of the nearest equivalent administrative region (as defined in the 2001 Census).
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View this table: [in a new window] | Table 1 Ethnic group of high-security psychiatric hospital (HSPH) patients by region of origin and comparison with the general population |
Socio-demographic, clinical and offence characteristics
There were several important distinctions between White and Black patients
in terms of their socio-demographic, clinical and offence characteristics
(Table 2). Black patients were
more often male, and on average were slightly younger. They more frequently
had an index offence of a violent or sexual nature, and were more often
diagnosed as having a mental illness and less often diagnosed as having a
personality disorder or learning disability. Black patients had a history of
more previous psychiatric admissions to hospital than White patients, although
the difference was not significant.
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View this table: [in a new window] | Table 2 Socio-demographic, clinical and offence characteristics of White and Black high-security psychiatric hospital (HSPH) patients |
Security and treatment needs
There were no significant differences between ethnic groups with regard to
current security level, treatment, dependency on care provided or risk of
current violence, according to the SDTP. Interestingly, the assessments of the
HSPH consultant/RMO were similar to those of the patients themselves with
regard to the need for ongoing high security, which applied to between
two-thirds and three-quarters of all patients respectively
(Table 3). Black patients were
on average assessed as having significantly more unmet needs on the
CANFORS than White patients (mean values of 2.22 v. 2.62,
difference=0.40, 95% CI 0.060.73), and slightly fewer met needs than
White patients (mean values of 1.11 v. 0.94, difference=0.16, 95% CI
0.0050.32).
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View this table: [in a new window] | Table 3 Patients needs (according to SDTP and CAN) and RMO/patient assessment of overall need for high security |
Table 4 compares the unmet needs and odds ratios for Black and White patients. Seven unmet needs differed between Black and White patients at a significance level of P<0.05, namely psychotic symptoms, safety with regard to self, use of alcohol, use of drugs, child care, money, and eyesight and hearing. Safety with regard to self and use of alcohol were needs associated with the White group, whereas all the other needs were associated with the Black group.
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View this table: [in a new window] | Table 4 Unmet needs of Black and White patients in high-security hospitals |
Each of these needs was entered into a logistic regression analysis as a dependent variable, with ethnic group as the independent variable entered first, and age, gender and legal category subsequently entered in turn. This analysis was performed to assess whether these variables had confounded the apparent differences in unmet need between ethnic groups. It showed that the differences in unmet need in the domains of psychotic symptoms and safety with regard to self were to some extent, although not entirely, confounded by legal category. Unmet need in the domain of psychotic symptoms was higher for patients in the mental illness legal category, among whom Black people were overrepresented. After adjusting for legal category, the odds ratio for Black compared with White patients decreased from 1.856 to 1.458 (95% CI 0.9372.270). Unmet need in the domain of safety with regard to self was higher among individuals with personality disorder, among whom White patients were overrepresented. The adjusted odds ratio for White compared with Black patients was 0.202 (95% CI 0.0480.855), whereas it was 0.165 before adjustment.
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Study limitations
This study has a number of important limitations. First, the aggregation of
three different Black groups, which was undertaken to counter problems of
small sample sizes, does not take into account the different cultural
backgrounds of Black Caribbean and Black African patients. Second, the
comparison with the general population is approximate because the regional
health authority data for the general population referred to the year 2001,
and as this is now an outdated administrative unit, more recent data were not
available. In addition, general population data were not available. These data
would have allowed calculations for each patient based on the exact year of
admission, where the duration of stay for the current admissions for all the
patients in the study ranged from less than 1 year to more than 29 years. For
this reason, age standardisation was not attempted. These population
comparisons should therefore be treated with caution. Third, the significance
levels were not adjusted for multiple testing. However, this was an
exploratory study designed to identify areas of difference between the groups.
Fourth, we used the clinical diagnoses made by the RMOs, stated in terms of
ICD10, although the reliability of their diagnoses in routine clinical
practice is not known. Finally, it would have been preferable if the
collection of sexual and violent offences had been disaggregated into separate
categories.
Results in relation to the study aims
The first aim of this study was to describe the patients in HSPHs in
England in terms of ethnicity in relation to sociodemographic, clinical and
offence characteristics. It was found that among a hospital patient population
that was overwhelmingly male, the proportion of men was even higher among
Black patients. For the index offence, although homicide was equally common in
both ethnic groups, White patients were more often detained following
incidents of arson, and were less often detained for extremely violent
offences. Important differences emerged in terms of legal diagnostic category,
with White patients more frequently being diagnosed with a personality
disorder or mental impairment, and far less often being diagnosed with a
functional mental illness (Ndegwa,
2003). Paradoxically, although the Black patients were on average
younger, they had accumulated more previous hospital admissions. This suggests
a pattern of revolving-door contact with services which was more
common among Black than White patients. Interestingly, the risk of current
violence did not appear to differ between the two ethnic groups.
The second aim of the study was to establish whether the proportion of Black and White patients who were admitted to the HSPHs was the same as the proportion of these ethnic groups in the general population in their regions of origin before admission. Despite the limitations with regard to establishing the population denominator data, the results are unequivocal. For all of England and Wales, Black patients are highly significantly overrepresented (by 8.2 times) in these hospitals compared with the rate that would be expected if they were admitted no more often than White people. This overrepresentation was also found for every regional health authority studied, with very considerable variation (from 3- to 24-fold), although the relatively small numbers of patients in some regions means that there are wide 95% CIs at the regional level. These findings are consistent with previous reports of ethnic differences in high- and medium-security hospitals (Leese et al, 1998; Maden et al, 1999b; Coid et al, 2000, 2001a,b; Puri et al, 2000; Bhui, 2001; Hodelet, 2001). However, this may reflect overrepresentation of Black patients in psychiatric services in general, rather than being a particular feature of high-securitysecurity high-hospitals. The results of the UK70 Study (Walsh et al, 2002) suggested that, compared with a general psychiatric population matched by postcode, Black people were at most only moderately overrepresented compared with White people in high-security hospitals. In terms of our first specific hypothesis, we did find significant overrepresentation of Black patients within the three HSPHs.
The third aim of this study was to compare the extent to which the needs of these patients are met in relation to ethnic group. Overall, the total number of needs from the CANFORS for Black and White patients was similar (9.14 and 9.06 respectively), but the average number of unmet needs was significantly lower for White compared with Black patients (2.22 v. 2.62, difference=0.40, 95% CI 0.060.77). This suggests that there are some variations in treatment and care with regard to ethnic group which have not been reported previously and which warrant more detailed investigation in future (McKenzie, 1995; McKenzie & Crowcroft, 1996; Bhugra & Bhui, 1999; Bhui et al, 2003). Such aspects of care have been relatively little studied, although it has been reported that among general adult patients in South London, Black patients with psychotic disorders were significantly less satisfied with the treatment they received than were White patients (Parkman et al, 1997). Furthermore, details of the patients needs profiles suggest that carefully differentiated assessment of individual needs should form the basis of care planning, rather than assessment of the needs of the hospital patient population as a whole. With regard to our second specific hypothesis, we did find that Black patients had fewer met needs than White patients.
Ethnicity and different patterns of unmet needs
Our findings demonstrate the existence of differential patterns between
Black and White patients in terms of access to high-security psychiatric care
in England, as well as differences in unmet needs after admission. The results
of this cross-sectional study do not directly address why these differences
exist. The reasons for such large and persistent differentials, which in
general work to the disadvantage of Black patients, warrant detailed further
study to inform the actions necessary to redress such clear inequalities.
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LIMITATIONS
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