The data

This study reports on data collected by 49 National Health Service (NHS) sites routinely using the CORE-OM to monitor patients at intake to their services. The data were anonymised and aggregated and are independent of data set out in a previous study reporting psychometric properties of the CORE-OM (Reference Evans, Connell and BarkhamEvans et al, 2002). In total, 32 sites were primary care based, providing counselling or psychology services within primary care groups or trusts. The remaining 17 sites were secondary care based and provided clinical psychology and psychotherapy services. The majority of referrals were from general practitioners, accounting for 93.3% of referrals to primary care sites and 64.5% to secondary care sites. Data (CORE-OM and/or CORE-A) were completed for 6610 primary care patients and 2311 secondary care patients in total.

Patient samples

Patients not completing the CORE-OM or missing more than three items from the 34-item measure were excluded from the mean score calculations. Using these criteria, 5733 primary care patients and 1918 secondary care patients were selected for inclusion. Table 1 presents demographic information for the two patient samples.

Table 1

Patient sample demographics

	Primary care (n=5733)		Secondary care (n=1918)
	n	%	n	%	χ2	P
Gender
Male	1629	28.4	659	34.4	24.2	<0.001
Female	4104	71.6	1259	65.6	24.2	<0.001
Age (years)
<20	243	4.2	86	4.5	0.2	0.65
20–29	1283	22.4	470	24.5	3.7	0.06
30–39	1883	32.8	600	31.3	1.6	0.21
40–49	1225	21.4	410	21.4	0.0	0.99
50–59	727	12.7	260	13.6	1.0	0.32
> 60	335	5.8	84	4.4	5.9	0.02
Not recorded	37	0.6	8	0.4	1.3	0.26
Ethnicity
Asian	213	3.7	44	2.3	8.9	0.003
Black	105	1.8	23	1.2	3.5	0.06
White European	4526	78.9	1691	88.2	80.2	<0.001
Mixed race	23	0.4	10	0.5	0.5	0.49
Other	79	1.4	29	1.5	0.2	0.67
Not recorded	787	13.7	121	6.3	75.6	<0.001

Measures

Data analysis

All data were scanned optically using FOR-MIC software (Formic Design and Automatic Data Capture, 1996). Statistical analyses were carried out using the Statistical Package for the Social Sciences for Windows (version 11). The CORE-OM overall mean scores and non-risk scores were calculated using ‘pro-rating’, where up to three items were missed (i.e. if two items were not completed, the total score would be divided by 32 rather than 34). Domain mean scores were not ‘pro-rated’ if more than one item was missing from that domain.

Completion rates (n clients completing the CORE-OM) and missing items were analysed using the full data-set (n=6610 primary care and n=2311 secondary care). All subsequent analyses were carried out on the samples of patients completing the CORE-OM and fulfilling the criteria for pro-rating (n=5733 primary care and n=1918 secondary care).

Internal consistency of the CORE-OM was calculated using Cronbach's coefficient α (Reference CronbachCronbach, 1951). Statistical power was high due to the large sample sizes, therefore differences in mean scores between samples are reported using confidence intervals (Reference Gardner and AltmanGardner & Altman, 1986) and effect sizes (Reference CohenCohen, 1988) rather than significance tests. An ‘effect size’ represents a standard deviation unit and is calculated as the difference between means divided by the pooled standard deviation. The standard guide to the effect size differences denotes three bands: 0.2 (small) 0.5 (medium) and 0.8 (large). On the basis of Cohen (Reference Cohen1988), noting that a 0.2 effect size involved an 85% overlap between distributions, it has been suggested that an effect size of 0.4 (involving a 73% overlap) be used as the criterion for clinically meaningful differences (Reference Elliott, Stiles, Shapiro and GilesElliott et al, 1993). Chisquared analysis was used to test proportional differences between samples (e.g. demographic characteristics).

To facilitate comparisons regarding the range of severity, we applied two cut-offs to the CORE-OM data that reflected differing levels of severity (for details, see Reference Jacobson and TruaxJacobson & Truax, 1991). The first cut-off on the CORE-OM, termed ‘clinical’, was defined as a score of 1.19 for men and 1.29 for women and was derived from calculating the CORE-OM score that would best demarcate membership of the general population (i.e. a lower score) or a clinical population (i.e. a higher score) using the following formula (see Reference Evans, Connell and BarkhamEvans et al, 2002):

\batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \[\ \frac{\mathrm{mean}_{\mathrm{clin}}\mathrm{s}.\mathrm{d}._{\mathrm{norm}}+\mathrm{mean}_{\mathrm{norm}}\mathrm{s}.\mathrm{d}._{\mathrm{clin}}}{\mathrm{s}.\mathrm{d}._{\mathrm{norm}}+\mathrm{s}.\mathrm{d}._{\mathrm{clin}}}\ \] \end{document}

The second cut-off, termed ‘severe’, was a CORE-OM score of 2.50 (both men and women) that approximated to a score of 1 s.d. above the mean for a clinical population and differentiated a mild/moderate clinical population from a severe clinical population (see Reference Barkham, Margison and LeachBarkham et al, 2001). Odds ratio analysis was applied to estimate the caseness rate ratio using clinical cut-off points for the CORE-OM. Effect sizes and confidence intervals for proportions (Reference WilsonWilson, 1927) were calculated using Microsoft Excel 2000.

Acceptability

In order to assess whether the CORE-OM was acceptable to clients in both primary and secondary care settings, we examined completion rates (i.e. number of clients completing the CORE-OM) and missed items at intake assessment. Of the total, 5833 (88.3%) primary care patients and 1940 (84.0%) secondary care patients completed the CORE-OM. The completion rate was significantly higher for the primary care sample (χ²=28.2, P<0.001, 95% CI difference 2.7-6.0%). However, the proportion of completed measures with fewer than three items missing (i.e. within the criteria for pro-rating) was similar in both settings: 5733 (98.3%) in primary care and 1918 (98.9%) in secondary care (χ²=3.2, P=0.08, 95% CI – 1.0 to 0.1%).

The most commonly missed item in both primary and secondary settings was no. 19 (‘I have felt warmth and affection for someone’). The overall item omission rates were 0.9% (95% CI 0.7-1.2%) for primary care and 0.8% (95% CI 0.5-1.3%) for secondary care. In the primary care sample, five items had missing cases above the upper threshold (1.2%) of the 95% confidence interval. In the secondary care sample, two items had missing cases above the threshold (1.3%). Table 2 summarises the items above the threshold in each sample.

Table 2

The CORE–Outcome Measure items above the 95% CI omission threshold¹

Item	Primary care		Secondary care
	n missed	%	n missed	%
16 I made plans to end my life	74	1.3	-	-
31 I have felt optimistic about my future	75	1.3	-	-
32 I have achieved the things I wanted to	85	1.5	-	-
17 I have felt overwhelmed by my problems	92	1.6	-	-
19 I have felt warmth or affection for someone	129	2.2	37	1.9
3 I have felt I have someone to turn to for support when needed	-	-	25	1.3

Internal consistency

We used Cronbach's coefficient α to calculate the internal reliability of the CORE-OM domains and item clusters within domains for both primary and secondary care settings. Although the item clusters were originally selected to represent the range of patient experience and not intended to be used as sub-scales, we calculated α values for them in order to test the robustness of the components within each domain. The α value indicates the proportion of covariance between items. Table 3 illustrates that all domains showed good internal reliability, with α >0.70 and <0.97 in each setting. In both primary and secondary care, the well-being domain had the lowest internal consistency. Values of α exceeded 0.70 for six of the nine item clusters - anxiety, depression, trauma, general functioning, social relationships, and risk to self - whereas for close relationships α was 0.65-0.70. Only for physical problems and risk to others (both of which comprised just two items) was α<0.60.

Table 3

Internal consistency of CORE–Outcome Measure by service setting (Cronbach's α)

		Primary (n=5733)		Secondary (n=1918)
	n items	α	95% CI	α	95% CI
Well-being	4	0.70	0.69–0.72	0.77	0.75–0.78
Symptoms	12	0.87	0.86–0.87	0.89	0.88–0.89
Anxiety	4	0.78	0.77–0.79	0.81	0.79–0.82
Depression	4	0.74	0.73–0.75	0.77	0.76–0.79
Physical	2	0.40	0.37–0.43	0.42	0.37–0.47
Trauma	2	0.72	0.71–0.74	0.73	0.70–0.75
Functioning	12	0.85	0.84–0.85	0.87	0.87–0.88
General	4	0.77	0.76–0.78	0.80	0.79–0.82
Close relationships	4	0.65	0.64–0.67	0.70	0.68–0.73
Social relationships	4	0.70	0.68–0.71	0.74	0.72–0.76
Risk	6	0.77	0.76–0.78	0.79	0.77–0.80
Risk to self	4	0.81	0.80–0.82	0.84	0.83–0.85
Risk to others	2	0.59	0.57–0.61	0.58	0.54–0.62
Non-risk items	28	0.93	0.93–0.93	0.94	0.94–0.95
All items	34	0.93	0.93–0.94	0.95	0.94–0.95

The CORE-OM profile of severity of problems

Overall scores

To compare the overall CORE-OM scores in primary and secondary care settings, we generated notched boxplots and histograms presenting the distribution of CORE-OM mean scores for all items (see Figs 1 and 2). In terms of overall mean scores, the two settings showed a strikingly similar distribution. Figure 1 shows that there were four outliers in the primary care sample scoring above the maximum secondary care score of 3.65 and no patient in either setting scored 4. As illustrated in Fig. 2, the distributions are near symmetrical although different in total frequency as a result of the different n in each sample.

Fig. 1

The box encloses the interquartile range (i.e. the middle 50% of scores). The notch is centred around the sample median and the shading around the notch shows the 95% confidence interval. The whiskers extend to the minimum score below the box, and for the secondary care sample extend to the maximum score above the box. The primary care sample has four outliers (1.5-3 times the interquartile range above the 75 centile) shown above the whisker.

Fig. 2

The distributions for primary care and secondary care samples appear to the left and right, respectively, of the central y-axis.

Domain scores

We calculated mean scores for each domain to determine whether patients in primary and secondary care settings showed a different profile of scores. Table 4 presents CORE-OM scores by domain for the two service settings, together with effect sizes indicating the degree of difference between populations. Although all effect size differences were ‘small’ (i.e. appreciably below 0.20), secondary patients did report higher levels of risk (effect size -0.15). The well-being domain showed the opposite trend, with primary care patients reporting poorer subjective well-being than secondary care patients (effect size 0.08).

Table 4

The CORE–Outcome Measure domain scores by service setting

	Primary care			Secondary care			95% CI	Effect size
	n	Mean	s.d.	n	Mean	s.d.
Well-being	5726	2.38	0.88	1917	2.31	0.95	0.2 to 0.12	0.08
Symptoms	5712	2.30	0.81	1907	2.26	0.87	-0.01 to 0.08	0.04
Functioning	5673	1.80	0.77	1904	1.82	0.83	-0.06 to 0.02	-0.03
Risk	5719	0.47	0.63	1913	0.57	0.70	-0.13 to -0.06	-0.15
Non-risk	5733	2.10	0.74	1918	2.08	0.80	-0.02 to 0.05	0.02
All items	5733	1.81	0.67	1918	1.81	0.74	-0.04 to 0.03	-0.01

Application of clinical cut offs

We applied the two cut-off thresholds to the data and Table 5 presents the proportion of patients in each setting above or equal to the cut-off thresholds. Chi-squared tests showed that a significantly higher proportion of primary care patients than secondary care patients were above the clinical cut-off for the well-being domain and non-risk items (P<0.01). However, as noted in the methodology, the statistical power of the data-set was high due to the large n, increasing the likelihood of statistical significance for small differences. Odds ratio (OR) analysis showed that secondary care patients were only marginally less likely to be above these cut-offs (OR=0.84 for well-being; OR=0.85 for non-risk items). Secondary care patients were more likely than primary care patients to be above the risk cut-off (OR=1.23, CI 1.10-1.36) and more likely to be above the ‘severe’ threshold (OR=1.34, CI 1.17-1.53).

Table 5

Proportion of patients above or equal to clinical cut-off thresholds

	Primary care		Secondary care		χ2	P	OR1	95% CI for OR
	n	%	n	%
Well-being	4460	77.9	1435	74.9	7.56	0.01	0.84	0.75–0.95
Symptoms	4579	80.2	1487	78.0	4.28	0.04	0.88	0.77–0.99
Functioning	4216	74.3	1374	72.2	3.46	0.06	0.90	0.80–1.01
Risk	2565	44.9	955	49.9	14.79	<0.001	1.23	1.10–1.36
Items excluding risk	4592	81.0	1484	77.4	6.60	0.01	0.85	0.75–0.96
All items	4508	78.6	1467	76.5	3.92	0.05	0.88	0.78–1.00
Severe cut-off (2.5)	902	15.7	384	20.0	18.89	<0.001	1.34	1.17–1.53

Patient-rated CORE-OM severity and presenting problems

We used the practitioner rating provided on the CORE-A form to determine patients' presenting problems. We classified each problem as present if given any rating by the practitioner from 1 (‘minimal’) to 4 (‘severe’) and absent if no rating was given. Table 6 presents the mean CORE-OM scores for patients grouped by presenting problem. Groups were not independent because many patients were rated as presenting with more than one problem.

Table 6

The CORE–Outcome Measure risk and non-risk scores by presenting problem

Presenting problem	Items	Primary care			Secondary care			95% CI	Effect size
		n	Mean	s.d.	n	Mean	s.d.
Depression	Risk	3704	0.54	0.66	1360	0.66	0.74	– 0.16 to –0.08	– 0.18
	Non-risk	3714	2.22	0.70	1364	2.23	0.77	– 0.05 to 0.04	0.00
Anxiety	Risk	4010	0.47	0.63	1410	0.56	0.70	– 0.13 to –0.05	– 0.14
	Non-risk	4016	2.13	0.73	1415	2.12	0.80	– 0.03 to 0.06	0.02
Psychosis	Risk	38	0.51	0.69	37	0.90	0.90	– 0.75 to –0.02	– 0.48
	Non-risk	38	2.23	0.76	37	2.40	0.67	– 0.50 to 0.15	– 0.25
Personality problems	Risk	255	0.75	0.79	252	1.04	0.89	– 0.44 to –0.14	– 0.34
	Non-risk	256	2.44	0.74	252	2.45	0.74	– 0.13 to 0.12	– 0.01
Cognitive problems	Risk	85	0.70	0.76	34	0.83	0.86	– 0.45 to 0.19	– 0.16
	Non-risk	85	2.33	0.60	34	2.26	0.65	– 0.17 to 0.32	0.12
Eating disorder	Risk	147	0.59	0.68	137	0.80	0.72	– 0.38 to –0.05	– 0.30
	Non-risk	147	2.16	0.64	137	2.41	0.81	– 0.42 to –0.08	– 0.34
Physical problems	Risk	1060	0.51	0.67	352	0.61	0.74	– 0.19 to –0.02	– 0.15
	Non-risk	1062	2.22	0.76	353	2.17	0.80	– 0.05 to 0.14	0.06
Addictions	Risk	275	0.89	0.84	158	0.90	0.79	– 0.17 to 0.16	– 0.01
	Non-risk	276	2.29	0.70	158	2.32	0.74	– 0.17 to 0.11	– 0.05
Trauma/abuse	Risk	999	0.66	0.75	406	0.84	0.82	– 0.28 to –0.10	– 0.24
	Non-risk	1002	2.33	0.72	407	2.39	0.75	– 0.14 to 0.03	– 0.08
Bereavement/loss	Risk	1690	0.47	0.62	363	0.59	0.72	– 0.19 to –0.05	– 0.19
	Non-risk	1694	2.15	0.72	364	2.18	0.76	– 0.11 to 0.06	– 0.04
Self-esteem	Risk	2617	0.55	0.67	895	0.67	0.75	– 0.17 to –0.06	– 0.17
	Non-risk	2622	2.25	0.70	896	2.23	0.76	– 0.04 to 0.07	0.03
Interpersonal problems	Risk	2892	0.53	0.66	932	0.71	0.77	– 0.23 to –0.13	– 0.26
	Non-risk	2898	2.19	0.71	934	2.24	0.75	– 0.10 to 0.01	– 0.06
Living/welfare	Risk	724	0.64	0.70	196	0.96	0.87	– 0.44 to –0.21	– 0.44
	Non-risk	727	2.34	0.68	196	2.44	0.76	– 0.20 to 0.02	– 0.13
Work/academic	Risk	1090	0.48	0.63	380	0.62	0.73	– 0.22 to –0.06	– 0.21
	Non-risk	1093	2.17	0.72	383	2.14	0.80	– 0.06 to 0.11	0.04

The effect size analysis in Table 6 shows that CORE-OM risk scores were a key factor in differentiating secondary care patients from primary care patients across the presenting problems. Secondary care patients had higher risk scores than primary care patients for all presenting problems, except addictions where both primary and secondary patients had relatively high mean risk scores. For patients with psychosis, personality problems and eating disorders (problems traditionally seen in specialist services), risk scores were substantially higher in secondary than in primary care (effect size >0.3). In addition, patients with psychosis, eating disorders and living/welfare problems also showed higher non-risk scores in secondary care than in primary care (i.e. higher levels of overall distress; effect size >0.1).

Practitioner-rated CORE-A profile of severity of presenting problems

We used the CORE-A data to compare the practitioner-rated severity and duration of problems experienced in primary and secondary care settings. Table 7 presents the mean practitioner rating of the severity of the presenting problems. Effect size analysis in Table 7 shows that practitioners rated the severity of anxiety and bereavement higher in primary care than in secondary care settings (effect size >0.2), but the severity of personality problems, cognitive difficulties, eating disorder and physical problems was rated as higher in secondary care than in primary care settings (effect size >0.2). We were mindful that such differences could reflect differential anchor points in terms of perceptions of problems between practitioners from primary and secondary care settings. Accordingly, we sampled two ranges of CORE-OM scores - a lower range (CORE-OM range 1.00-1.60) and a higher range (CORE-OM range 2.20-2.80) - to check that there were no meaningful differences between primary and secondary care practitioners' ratings within these ranges. The mean effect size (low and high range) between primary and secondary care practitioners' ratings for each presenting problem fell below the 0.4 effect size criterion. Table 8 presents the mean rating of duration of the presenting problems in primary and secondary care settings. For all the presenting problems, secondary care patients were rated as having experienced the problem for a greater duration than primary care patients (all effect sizes >-0.2). The greatest difference in problem duration was for psychosis (effect size -0.7).

Table 7

Practitioner-rated CORE–Assessment profile of severity¹ of presenting problems

Presenting problem	Primary care			Secondary care			95% CI	Effect size
	n	Mean	s.d.	n	Mean	s.d.
Depression	3714	2.73	0.77	1364	2.59	0.81	0.09 to 0.19	0.18
Anxiety/stress	4016	2.84	0.77	1415	2.69	0.78	0.11 to 0.20	0.20
Psychosis	38	1.79	0.96	37	2.41	0.96	– 1.06 to –0.17	– 0.64
Personality problems	256	2.57	0.85	252	2.85	0.84	– 0.42 to –0.13	– 0.33
Cognitive/learning	85	2.16	0.88	34	2.41	0.96	– 0.61 to 0.12	– 0.27
Eating disorder	147	2.23	0.94	137	2.50	0.97	– 0.50 to –0.05	– 0.28
Physical problems	1062	2.66	0.86	353	2.56	0.91	– 0.01 to 0.20	0.11
Addictions	276	2.54	0.97	158	2.43	1.04	– 0.09 to 0.30	0.11
Trauma/abuse	1002	2.90	0.87	407	2.89	0.80	– 0.09 to 0.11	0.01
Bereavement/loss	1694	2.84	0.85	364	2.60	0.85	0.15 to 0.34	0.29
Self-esteem	2622	2.84	0.77	896	2.74	0.80	0.05 to 0.17	0.14
Interpersonal	2898	2.82	0.79	934	2.76	0.80	0.00 to 0.12	0.08
Living/welfare	727	2.60	0.83	196	2.55	0.88	– 0.08 to 0.18	0.06
Work/academic	1093	2.74	0.83	383	2.58	0.87	0.06 to 0.26	0.19

Table 8

Duration¹ of presenting problems

Presenting problem	Primary care			Secondary care			95% CI	Effect size
	n	Mean	s.d.	n	Mean	s.d.
Depression	3569	2.45	1.13	1369	2.98	1.03	– 0.60 to –0.46	– 0.48
Anxiety/stress	3838	2.50	1.13	1408	3.03	1.01	– 0.60 to –0.47	– 0.49
Psychosis	30	2.73	1.28	39	3.46	0.79	– 1.23 to –0.23	– 0.70
Personality problems	238	3.31	1.03	256	3.81	0.44	– 0.64 to –0.37	– 0.65
Cognitive/learning	80	3.33	0.90	34	3.53	0.99	– 0.58 to 0.17	– 0.22
Eating disorder	139	3.14	1.01	140	3.46	0.76	– 0.54 to –0.12	– 0.37
Physical problems	1041	2.67	1.16	357	3.07	1.03	– 0.53 to –0.26	– 0.35
Addictions	269	2.99	1.06	163	3.32	0.90	– 0.53 to –0.13	– 0.33
Trauma/abuse	973	2.98	0.99	417	3.29	0.76	– 0.42 to –0.20	– 0.33
Bereavement/loss	1641	2.46	1.06	389	2.78	0.95	– 0.44 to –0.21	– 0.31
Self-esteem	2518	2.97	1.11	920	3.41	0.87	– 0.53 to –0.37	– 0.43
Interpersonal	2786	2.79	1.11	953	3.28	0.91	– 0.57 to –0.42	– 0.47
Living/welfare	666	2.58	1.13	189	2.87	1.08	– 0.48 to –0.12	– 0.27
Work/academic	1066	2.26	1.10	374	2.83	1.00	– 0.69 to –0.44	– 0.53

Suitability

In relation to the appropriateness of these tools in different service settings, the findings show that CORE-OM is acceptable to clients in both settings (as evidenced by high completion rates) and is robust in its structure across different settings (as evidenced by high internal reliabilities), even to the extent of most of the item clusters. However, it is acknowledged that this evidence pertains to counselling and psychological therapy services and could differ in other service settings. In addition, a minority of patients completed their measures at their first session rather than at screening or intake assessment. However, the realities of routine practice settings probably demand reasonable flexibility in the pursuit of maximising compliance in completing the assessment measures.

In administering the same measure in both primary and secondary settings, it might be presumed that the CORE-OM would generate a ceiling effect in secondary care services. We found no evidence of this in the data that we examined. However, we distinguish clearly between patients seen in out-patient settings within secondary care services (as reported here) and patients deemed to be within a category that has been referred to as ‘serious and enduring mental illness’. For such patients, the process of understanding and completing a self-report measure might yield results that are not necessarily continuous with those reported here (e.g. they might underscore rather than produce logically higher scores). However, Whewell & Bonanno (Reference Whewell and Bonanno2000) reported that the risk sub-scale was ‘clinically valid’ in the CORE-A and CORE-OM scores matched for patients with borderline personality disorder. Where CORE-OM scores might not be considered safe, the CORE-A form completed by the practitioner would be the sole source of information.

Utility

Although we found general heterogeneity between primary and secondary care settings in self-rating on the CORE-OM, there was clear evidence that the CORE-OM discriminated between patients in secondary and primary care by showing them to be more likely to score higher on risk and be above the severe threshold. These two components support the ability of the CORE-OM to discriminate appropriately between service settings, a finding supported by the practitioners' consistent reporting of greater duration of patients' presenting problems in secondary care. These findings may provide an additional tool in the recognition by healthcare professionals of those patients potentially at risk of suicide (e.g. Reference Gunnell and HarbordGunnell & Harbord, 2003).

Our data showed primary care patients to be characterised by more acute problems (i.e. problems that received a lower duration rating). The self-severity rating may be related to the acute nature of the problems. Item analysis showed this with higher ratings on the item ‘felt like crying’, which is likely to reflect the immediacy of the problems experienced. In contrast, secondary care patients were characterised by more chronic problems (i.e. of higher duration) and higher risk scores on the CORE-OM. This agrees with the therapist-rated chronicity of problems in practice settings of counselling and clinical psychology (Reference Cape and ParhamCape & Parham, 2001). This profile of patients in secondary services appears to be a logical consequence of referral procedures and waiting times. However, we are mindful that practitioners in primary and secondary care settings may have differential anchor points in their evaluation of the severity of the presenting problems. When we controlled for patient-rated severity, we still found at least a 75% overlap in the distributions of primary- and secondary-based practitioners' ratings. Notwithstanding this overlap, our view on this is that practitioner ratings will be influenced by a myriad of professional and contextual factors that will require further research to ensure standard use in routine settings.

The use of both patient- and practitioner-completed assessment forms marks a step forward from reliance on either patient perception alone or established assessment packages using practitioner ratings alone (e.g. Health of the Nation Outcome Scales; Reference Wing, Beevor and CurtisWing et al, 1998). The use of such data provides a logical base for benchmarking service delivery systems (e.g. Reference Barkham, Margison and LeachBarkham et al, 2001) and adds to a developing literature (e.g. Reference Slade, Cahill and KelseySlade et al, 2001) providing low-cost but reliable measures that can be adopted routinely in mental health settings.

CLINICAL IMPLICATIONS

1. ▪ The CORE-Outcome Measure (CORE-OM) is suitable for assessing patient-rated severity across both primary and secondary care settings.

2. ▪ The combined use of the CORE-OM and CORE-Assessment (CORE-A) enables comparison of the severity of individual presenting problems.

3. ▪ There is a high level of reported risk in both primary and secondary care settings (albeit that the threshold was set low). However, risk assessment should be a key component of screening for referral of patients across primary and secondary care.

LIMITATIONS

1. ▪ Services contributing to the national data-set may not be representative of all mental health services in the UK.

2. ▪ The CORE-OM measures were completed at different stages of assessment (i.e. not always pre-intervention), therefore patients' self-rating in some cases may be affected by engaging with treatment.

3. ▪ The CORE-A problem severity rating is subjective, therefore practitioners in primary and secondary care settings may rate severity differently. Further work is needed to assess the convergent validity of self- and practitioner-ratings of severity using the CORE-OM and CORE-A.