Operationalised definitions of SMI

The narrow definition that we test in this paper (the ‘three-dimensional definition’) is that a patient has severe mental illness when he or she has the following: a diagnosis of any non-organic psychosis; a duration of treatment of two years or more; dysfunction, as measured by the Global Assessment of Functioning (GAF) scale (American Psychiatric Association, 1987). Specifically, the two levels of dysfunction defined by cut-off points of the GAF are tested: moderate or severe dysfunction (a GAF score of 70 or less, indicating mild symptoms or some difficulty in social, occupation or school functioning); or only severe dysfunction (a GAF score of 50 or less, indicating severe symptoms or severe difficulty in social, occupational or school functioning). The broad definition (the ‘two-dimensional definition’) is based on the fulfilment of the latter two criteria only.

These definitions differ from the one operationalised by Schinnar et al (Reference Schinnar, Rothbard and Kanter1990) in the following respects: psychoses are included, but personality disorders are excluded; the criterion of duration has been simplified, with the exclusion of duration of illness and the inclusion of duration of treatment; a simple operationalisation of the disability criterion was made by using the concept of dysfunction as defined by the GAF.

The reasons for these changes are the following: the diagnosis of personality disorders has low interrater reliability (Reference ZimmermannZimmermann, 1994); the duration of treatment can be assessed much more precisely than duration of illness (Reference Schinnar, Rothbard and KanterSchinnar et al, 1990); insufficient information is given on how to operationalise the disability criterion in both the original NIMH (1987) definition and the further work of Schinnar et al. We chose the GAF, despite some limitation in its specificity in measuring disability (Reference Roy-Byrne, Dagadakis and UnutzerRoy-Byrne et al, 1996), because of its simplicity, reliability and widespread use as a proxy measure of disability (Reference Jones, Thornicroft and CoffeyJones et al, 1995).

Characteristics of the catchment areas

The Nunhead and Norwood sectors (geographical catchment areas) of South London are severely socially deprived areas (see Reference Thornicroft, Strathdee and PhelanThornicroft et al, 1998 for more details). The South Verona area of northeast Italy is relatively affluent and predominantly middle class. In 1994 the population aged over 18 was 62 240. The South Verona CMHS is a public service established in 1978 within the newly organised Italian National Health Service, and is the main psychiatric service providing care to South Verona residents (see Reference Tansella, Amaddeo, Burti, Goldberg and ThornicroftTansella et al, 1998 for more details).

Patient inclusion criteria

Assessments

Statistical methods

Data were analysed using SPSS version 7.0 (SPSS, 1996). Missing values, which were usually a result of sparse information in case notes, were assumed to be missing at random. Annual prevalence rates were then calculated for each combination of criteria for the two- and three-dimensional definitions, on the basis of the proportions of patients with valid data having the required characteristics, assuming independence of categories within each site.

All data for London relate to a one-year period prevalence, whereas Verona used data for dysfunction from patients observed over three months; for this reason, the three-month annual period prevalence rates for Verona were further adjusted by a factor equal to the total number of patients registered in the PCR in the index year divided by the total over three months. We computed 95% confidence intervals (CIs) for prevalence rates on the basis of the raw unadjusted frequencies, and then applied the appropriate factors.

Prevalence of psychosis and other mental illness

Table 1 shows the socio-demographic and service use characteristics of the London and Verona patients. Five hundred and eleven cases of psychosis were identified in a one-year period in London and 212 in Verona, with annual prevalences per thousand inhabitants of 7.84 (95% CI 7.16-8.52) and 3.41 (95% CI 2.79-4.02), respectively. Among patients with psychosis in London and Verona, there were 67% and 74% with schizophrenia, 6% and 26% with affective disorder, and 27% and 1% with an ICD-10 diagnosis of other non-organic psychotic syndrome (F28) or unspecified non-organic psychosis (F29), respectively. The higher number of unspecified diagnoses in London was due to a greater proportion of case notes with incomplete clinical information. This problem did not exist in Verona because diagnoses were made for all patients as part of routine clinical practice.

Table 1 Socio-demographic and service utilisation characteristics of patients with psychosis aged over 18 from Nunhead and Norwood (London) and South Verona

Characteristic	London (n=511)1	South Verona (n=212)1	P 2
Age (years)
Mean	42.2	47.5
95% CI	40.8-43.6	45.5-49.6	<0.001
Median	39	46
Gender
Male	251 (49%)	98 (46%)	0.419
Female	260 (51%)	114 (54%)
Ethnic group
White	315 (63%)	212 (100%)
Non-White	187 (37%)	0	<0.001
Missing data	9	0
Living situation
Alone	185 (40%)	43 (21%)
With family	200 (43%)	153 (73%)
Sheltered accommodation	51 (11%)	13 (6%)
Other	25 (5%)	0	<0.001
Missing data	50	3
Employment
Employed	79 (19%)	62 (29%)
Not employed	340 (81%)	149 (71%)	0.003
Missing data	98	1
Duration of contacts
<2 years	58 (12%)	30 (15%)
≥ 2 years	430 (88%)	173 (85%)	0.299
Missing data	23	9
In-patient admissions in previous year
None	329 (65%)	156 (74%)
At least 1	181 (35%)	56 (26%)	0.018
Missing data	1	0
Out-patient attendances in previous year
None	130 (27%)	46 (21.7%)
At least 1	356 (73%)	166 (78.3%)	0.158
Missing data	25	0
Compulsory admission
None	157 (37%)	163 (77%)	<0.001
At least 1	265 (63%)	49 (23%)
Missing data	89	0

In South Verona, 711 patients with a diagnosis of mental disorder other than psychosis were identified by the PCR in the index year, with an annual period prevalence per thousand inhabitants of 11.42 (95% CI 10.58-12.26). Fifteen per cent of these patients had an ICD-10 diagnosis of personality disorder, 20% of neurotic somatoform disorder, and 39% of neurotic depression, while 17% had other diagnoses (including F10 alcoholism and F11-19, F55 drug misuse), and 8.5% had missing data.

Assessment of duration and dysfunction

All identified cases of psychosis in the index year in London underwent the social functioning assessment. Assessments of duration and dysfunction were missing in 23 and 108 cases, respectively, usually because of very brief case records. Possible bias due to the large proportion of missing values was investigated by comparing those with and without case-note GAF scores using the GAF from an interview approximately one year later (available from the main PRiSM study) for a randomly chosen subsample. Those with and without missing case-note GAF scores had very similar mean interview GAF scores (59.2 compared with 63.9, P=0.12).

In Verona only the patients of the catchment area attending the South Verona CMHS (n=542) underwent the social functioning assessment. In this group most missing data resulted from the study design, which is based on routine clinical assessments made by the key professionals and not by researchers. Global Assessment of Functioning assessments were missing in 187 patients: in 49 cases GAF assessments were missing because the patients, although in contact with other professionals such as nurses or social workers, had not been seen by a doctor or psychologist in the three-month index period; in the remaining 138 cases assessments were missing because, owing to lack of time, the key professionals could not complete the GAF assessment after their visit. Patients with missing assessments had had significantly fewer contacts with the service in the previous year (P<0.01), but did not differ from the patients assessed for any other sociodemographic or service utilisation characteristic.

Criteria based on duration and dysfunction

Table 2 shows the application of the operationalised criteria based on duration and dysfunction, both individually and combined, to all patients with psychotic and non-psychotic disorders identified in the index period in London and Verona. Despite the overall differences in prevalence, the data for psychosis show that the relative proportions of patients with SMI for each criterion of the operationalised definition were very similar between the two sites, although there is some weak evidence for a higher proportion of patients with severe dysfunction in Vrona (44% v. 35%, P=0.08). Log-linear analysis confirmed this finding, but showed no evidence of association between duration and dysfunction at either site.

Table 2 Annual period prevalence rates of severe and persistent mental illness in Nunhead and Norwood (London) and South Verona using operationalised criteria applied to patients with and without psychotic disorders

	London (65 150 inhabitants over 18)			South Verona (62 240 inhabitants over 18)
	With psychosis (n=511)1			With psychosis (n=212)2			Without psychosis (n=711)3
Operationalised criteria	Rate per 1000	95% CI	Estimated percentage of patients	Rate per 1000	95% CI	Estimated percentage of patients	Rate per 1000	95% CI	Estimated percentage of patients
Dysfunction
GAF ≤70	6.31	5.62-6.99	80%	2.85	2.29-3.42	84%	7.70	6.50-0.89	67%
GAF ≤50	2.76	2.31-3.22	35%	1.51	1.10-1.93	44%	1.60	1.05-2.14	14%
Duration ≥2 years	6.91	6.26-7.56	88%	3.01	2.53-3.49	88%	6.99	6.07-7.92	62%
Dysfunction/duration
GAF ≤70, ≥2 years	5.67	4.95-6.35	72%	2.45	1.92-2.98	72%	4.32	3.48-5.16	38%
GAF ≤50, ≥2 years	2.55	2.11-3.00	32%	1.34	0.95-1.73	40%	0.98	0.58-1.39	9%

Among the patients with non-psychotic disorders, those with an ICD-10 diagnosis of personality disorder or alcohol and drug misuse had a significantly higher percentage of SMI than patients with neurotic disorders; specifically, a longer duration of treatment (over 70% with duration of over two years in patients with personality disorder and other diagnoses v. 60% in patients with a neurotic disorder) and more severe dysfunction (around 35% v. less than 10%) were found. Owing to the small number of cases in each category, the possible combination of criteria was not assessed for these separate diagnostic categories.

Application of combined criteria

Table 3 shows the application of both two-and three-dimensional definitions in all patients with a diagnosis of mental disorder identified in the index period in the South Verona area. Prevalence rates of SMI vary widely depending on the criteria applied, with low discrimination by the separate criteria of moderate dysfunction and long duration (taken individually or combined) and higher discrimination by the criteria of diagnosis and severe dysfunction. Application of the two-dimensional definition criteria based on severe dysfunction and duration gives a total prevalence rate of SMI of 2.33 per thousand for all disorders; it is noteworthy that of these only 58% are cases of psychosis.

Table 3 Annual period prevalence rates of severe and persistent mental illness in South Verona using operationalised criteria applied to all patients

Operationalised criteria			South Verona (62 240 inhabitants over 18) (n=933)1
			Rate per 1000	95% CI	Estimated percentage of all cases
One-dimensional definitions
Diagnosis of psychosis			3.41	2.79-4.02	23%
	Dysfunction
	GAF ≤70		10.54	9.22-11.86	70%
	GAF ≤50		3.11	2.43-3.79	21%
		Duration
		≥ 2 years	10.00	8.96-11.04	67%
Two-dimensional definitions
	Dysfunction
Diagnosis of psychosis	GAF ≤70		2.85	2.29-3.42	19%
	GAF ≤50		1.51	1.10-1.93	10%
Diagnosis of psychosis		Duration
		≥ 2 years	3.01	2.53-3.49	20%
	Dysfunction	Duration
	GAF ≤70	≥ 2 years	6.77	5.78-7.77	45%
	GAF ≤50	≥ 2 years	2.33	1.77-2.89	16%
Three-dimensional definition
	Dysfunction	Duration
Diagnosis of psychosis	GAF ≤70	≥ 2 years	2.45	1.92-2.98	16%
	GAF ≤50	≥ 2 years	1.34	0.95-1.73	9%

Prevalence of SMI among patients with psychosis

The annual prevalence of psychosis in South Verona (3.41 per thousand inhabitants) is similar to that found in previous studies in the rest of Italy (Reference Balestrieri, Micciolo and De SalviaBalestrieri et al, 1992) and other European countries and the USA (Reference Robins and RegierRobins & Regier, 1991). The higher rate in South London (7.84 per thousand inhabitants) found in this study is in agreement with other findings for inner London (Reference Johnson, Brooks and ThornicroftJohnson et al, 1997) and is consistent with a recent psychiatric morbidity survey which found annual period prevalence rates of between 2.0 and 9.0 per thousand inhabitants in the population throughout Britain (Reference Meltzer, Gill and PetticrewMeltzer et al, 1996). These higher rates are partly due to the higher proportion of ethnic minorities, who more frequently suffer from schizophrenia (Reference McCreadieMcCreadie, 1982).

When the three-dimensional definition (functional psychosis, duration of treatment longer than two years, and a severe dysfunction lasting for at least one month) is applied, prevalence rates of SMI among patients with psychosis are higher in south London than in south Verona (2.55 v. 1.34 per thousand inhabitants). The difference in prevalence of SMI in the two areas matches in general terms the difference in prevalence of psychosis noted above. However, the relative proportion of SMI among those with psychosis is somewhat lower in London than in Verona (31% v. 40%).

The results show that in patients with psychosis, the more restrictive criterion for severity of illness is the high severity of dysfunction (a GAF score of 50 or less), since the majority of patients with psychosis had a long duration (88% in both areas) and at least a moderate (a GAF score of 70 or less) level of dysfunction (80% and 84% in London and Verona, respectively).

Prevalence of SMI among patients with non-psychotic disorders

In South Verona the total pevalence of non-psychotic disorders treated by psychiatric services was 11.42 per thousand inhabitants. When the full set of two-dimensional definitions has to be fulfilled, the prevalence of SMI among patients with non-psychotic disorders in 0.98 per thousand inhabitants (9%). The criteria of duration and dysfunction both play an important role in the selection of patients.

Prevalence of SMI among patients with any mental disorder attending adult services

The total population-based annual prevalence of SMI patients in South Verona is 1.34 per thousand when we apply all criteria of the three-dimensional definition and 2.33 per thousand when all criteria of the two-dimensional definition are applied. The former definition is therefore more powerful in selecting a smaller subgroup of patients with SMI from among all patients with any mental disorder.

According to the two-dimensional definition, in Verona 40% of all patients with psychosis and 9% those without have SMI. When considering all patients with a diagnosis of mental disorder, the SMI group according to the two-dimensional definition is composed of 58% with psychosis and 42% with non-psychotic disorders. Is it legitimate not to consider such a large proportion of patients (people with non-psychotic disorders) when planning services dedicated to SMI?

Limitations of the study

This study has a number of limitations. The annual total prevalence rates were accurately estimated, albeit with a possible slight underestimation in London, but there were some missing values for the definitions based on dysfunction. Although there was no evidence that this caused major problems, it would be preferable to minimise bias when using the operationalised criteria to assess prevalence, and this study suggests some improvements which could be made.

For interview data, one improvement would be to make a GAF assessment for a known proportion of all types of patients, including those who would not normally be seen frequently. Weighted methods of analysis can then be used to combine their results with those of routine attenders (see, for example, Reference Dunn, Pickles and TansellaDunn et al, 1999). With regard to case-note data, the London results suggest that case-note assessments are acceptable where patients are not seen in person, and that missing data do not lead to major bias. However, further research is needed to eliminate specific bias in GAF assessments based on case notes rather than interviews. Another limitation is that the reliability of GAF assessment, as well as that of the ICD-10 diagnostic coding, is based on previous work done by our group and other groups, but has not been assessed within this study.

A further possibility of bias (over-estimation) in SMI, resulting from dysfunction being measured cross-sectionally, might have occurred. This was also the case for duration, since cross-sectional samples are more likely to sample long-duration than short-duration illnesses. However, the much higher degree of feasibility of a cross-sectional assessment compared with a longitudinal one suggests that this procedure is to be preferred despite its limitations.

This study did not consider the whole range of mental illnesses in both areas, since in London only cases of functional psychosis were included in the study. More-over, the fact that in London some of the diagnoses were made from clinical records may have caused an increase in the number of unspecified cases of psychosis; it has been estimated that there was a 3% under-estimation of prevalence as a result of cases having neither adequate case notes nor later interview.

In the group of patients with psychosis a refined diagnostic breakdown was not possible, hence the relative contribution of schizophrenia and affective psychosis in this group has not been explored. Diagnostic breakdown was also not possible in the group of patients with non-psychotic disordes in Verona, owing to the smaller number of cases in several categories. An exploratory analysis showed that patients with a diagnosis of personality disorder, alcoholism or drug misuse may suffer from SMI more frequently than the other diagnostic groups. This deserves further investigation.

Another limitation of this study is that two different methods of case identification were employed at the two sites — a population-based method in London and a case register method in Verona. Data in South London reflect the general population prevalence, while data in South Verona are representative of the treated prevalence in specialist services only (all hospitals, both public and private, as well as community psychiatric services). It is well known that treated cases are a selection of community cases, but we also know that severity of illness is the main selective factor in passing from having a mental disorder to searching for specialist treatment for that disorder. According to Olfson & Klerman (Reference Olfson and Klerman1992), “mental health care utilisation is a reasonable proxy for psychiatric distress and is therefore an acceptable criterion for validating the presence of psychiatric disorder”. Moreover, in Italy the vast majority of patients with a diagnosis of psychosis are treated in public psychiatric services or in private hospitals (Reference Balestrieri, Bon and Rodriguez-SacristanBalestrieri et al, 1994). All these institutions report to the South Verona PCR, so PCR estimates of prevalence of psychosis may be considered reasonably accurate; hence the comparison with London prevalence rates is appropriate. For people with non-psychotic disorders, PCR prevalence rates are certainly an underestimation of the true prevalence; even so, we consider that the vast majority of the more severely ill people with non-psychotic disorders are included in the estimates.

Finally, some significant differences between the English and Italian samples were found for age, ethnicity, living situation and service utilisation. These differences derive both from the different sociocultural contexts and from the different models of psychiatric care applied in the two settings; however, they did not relate to the percentages of SMI in the two areas.

Implications of the study

This study has several implications. On a practical level it has shown the feasibility of applying simple definitions of SMI in two different situations, neither of which was originally designed for prevalence estimation, namely a population-based research project and a case-register project. Annual period prevalence rates of SMI using the three-dimensional model have been compared in two areas in Europe which differ both in the social context and in the type of psychiatric care provided. Despite the limitations of the study mentioned above, these data could provide the first step toward extrapolation to national estimates of SMI throughout Great Britain and Italy and comparison with prevalence of SMI in other countries. In spite of the difference in the annual prevalence rates of SMI, the proportions of SMI among cases with psychosis are similar. This finding, if confirmed in other areas, suggests that there is a type of cross-cultural stability in the proportion of functional psychosis patients who have SMI, which is independent of local prevalence rates of mental illness and could be used for planning.

Epidemiological data collected in one of the sites (Verona) suggest that the use of the two-dimensional definition, with a combination of the criteria of duration of treatment and severe dysfunction, is preferable to the three-dimensional version. This is because the two-dimensional definition does not discriminate against patients with severe non-functional psychotic disorders, and because it allows further research to explore the burden placed on services and carers by patients with severe and enduring non-psychotic mental illnesses.

Future research priorities include testing the validity of these definitions and checking whether those patients who are identified as having SMI at a baseline point are those who suffer more and will cause more burden subsequently, and whether there are differences in the burden and disability profiles between SMI patients with and without psychosis.

CLINICAL IMPLICATIONS

• ▪ More than one-third of the patients with a diagnosis of functional psychosis have severe mental illness (SMI).

• ▪ Among the patients who are defined as having SMI, about 40% are affected by a non-psychotic mental disorder.

• ▪ The definition tested is fully operationalised and based on easily obtainable data, so the study can be replicated and prevalence rates in other settings can be calculated.

LIMITATIONS

• ▪ The study did not consider the whole range of mental illnesses in both London and Verona, the two areas studied, since in London functional psychosis cases only were included.

• ▪ Two methods of case identification were employed: a population-based method in London and a case-register method in Verona.

• ▪ Further testing of the validity and reliability of the definition of SMI and its diagnostic criteria is needed.