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Effect of early intervention on 5-year outcome in non-affective psychosis

Published online by Cambridge University Press:  02 January 2018

Rafael Gafoor
Affiliation:
Institute of Psychiatry, Kings Health Partners, London
Dorothea Nitsch
Affiliation:
London School of Hygiene and Tropical Medicine, London
Paul McCrone
Affiliation:
Institute of Psychiatry, King's Health Partners, London, UK
Tom K. J. Craig
Affiliation:
Institute of Psychiatry, King's Health Partners, London, UK
Philippa A. Garety
Affiliation:
Institute of Psychiatry, King's Health Partners, London, UK
Paddy Power
Affiliation:
Institute of Psychiatry, King's Health Partners, London, UK
Philip McGuire*
Affiliation:
Institute of Psychiatry, King's Health Partners, London, UK
*
Correspondence: Philip McGuire, Institute of Psychiatry, King's College London, De Crespigny Park, London SE5 8AF, UK. Email: [email protected]
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Abstract

Background

Early specialised care may improve short-term outcome in first-episode non-affective psychosis, but it is unclear if these benefits endure.

Aims

To assess the long-term effect of early intervention in psychosis.

Method

Individuals with first-episode psychosis were randomised to specialised care or care as usual (trial number: ISRCTN73679874). Outcome after 5 years was assessed by case-note review.

Results

There were no significant differences in the admission rate (coefficient 0.096, 95% CI −0.550 to 0.742, P = 0.770) or the mean number of bed days (coefficient 6.344, 95% CI −46 to 58.7, P = 0.810).

Conclusions

These findings that specialist intervention did not markedly improved outcome at 5 years accord with those from a larger OPUS study. The sample size of this study was small and these results should be generalised with caution. More research is needed.

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2010 

Specialist services aim to reduce hospitalisation in patients with psychosis by initiating treatment as soon as possible after the first episode. Reference Birchwood, Todd and Jackson1 In the OPUS study, Reference Petersen, Jeppesen, Thorup, Abel, Ohlenschlaeger and Christensen2 participants with first-episode psychosis randomised to specialist services had shorter hospital admissions at 1 year after presentation than those assigned to care as usual; however, these benefits did not endure at 2-year follow-up. The Lambeth Early Onset (LEO) trial Reference Craig, Garety, Power, Rahaman, Colbert and Fornells-Ambrojo3 found that individuals treated by a specialist service had lower hospital bed use at 18 months than those receiving care as usual. Whether the beneficial effects of specialist services endure in the longer term is unclear. We addressed this issue by following up participants in the LEO trial 3.5 to 5 years after inception. The trial was registered with the International Standard Randomised Controlled Trial Number Register and was assigned the trial number ISRCTN73679874.

Method

Initial study – randomised controlled trial

In 2002, 144 people presenting to psychiatric services in Lambeth, South London, with a first or second episode of non-affective psychosis were randomly allocated to either ‘specialist services’ or ‘care as usual by community mental health teams (CMHTs)’ at inception. Inception was defined as the point of first treatment for psychosis. Inclusion required an age of 16–40 years, and a presentation of a non-affective psychosis (schizophrenia, schizotypal, and delusional disorders, F20–29 in the ICD–10). 4 Individuals with an ‘organic’ psychosis or a primary alcohol or drug addiction were excluded. Participants were randomised by permuted random blocks of between two and six. The randomisation and concealment group allocation was carried out by sealed envelope method by the trial statistician. Follow-up interviews were conducted at 18 months (while the participant was still receiving care from the original clinical teams). Data on readmissions were obtained from centralised computer case records and from interview with psychiatric care coordinators. Follow-up information on clinical status at 18 months was collected from 131 (91%) people.

The specialist team (LEO) was a new service comprising 10 mental health professionals who delivered specialised interventions including low dose atypical antipsychotic regimens, cognitive–behavioural therapy based on manualised protocols, Reference Jackson, McGorry, Edwards, Hulbert, Henry and Francey5Reference Jolley, Garety, Craig, Dunn, White and Aitken7 family counselling and vocational strategies based on established protocols. 8,Reference Edwards and McGorry9 Participants in the control group received standard care from established adult general CMHTs in Lambeth. These teams had received no formal training in specialist interventions but had access to guidelines on the approach. 8,Reference Aitchison, Meehan and Murray10

Although participants and clinicians were not masked to treatment arm, it is unlikely that participants had contact with other participants in the other arm. Allocation remained undisclosed until completion of the ratings. However, assessors were able to guess the arm of treatment to which 60% of participants had been allocated (95% CI 52 to 63, κ = 0.20).

Participants were analysed by intention-to-treat analysis (ITT) in the group to which they were initially randomised. Regression analyses were adjusted for variables that were unbalanced between the two groups at baseline (ethnicity, past episode and gender).

Results from the initial study

A previous study Reference Craig, Garety, Power, Rahaman, Colbert and Fornells-Ambrojo3 had found that individuals receiving specialist treatment had fewer admissions in the intervening 18-month review period than those assigned to care as usual: (0.4 admissions v. 0.8 (β = 0.36, 95% CI 0.04 to 0.66, P = 0.030)), but were not less likely to have ever been admitted (OR = 0.53, 95% CI 0.26 to 1.12, P = 0.095) or to have had shorter admissions (β = 19.4, 95% CI –10.6 to 48.6, P = 0.197). Participants treated by the specialist team had better social and vocational functioning (mean 6.9 months in employment for the specialist group v. mean of 4.2 months, P = 0.008), quality of life (mean score of 59.2 for specialist services v. mean score of 53.3, P = 0.010) and medication adherence (mean adherence score of 5.4 for specialist services v. mean score of 4.5, P = 0.036) at 18 months).

Follow-up study

In 2005, the above participants were retrospectively assessed during an 18-month period (3.5 to 5 years after inception). The primary (null) hypothesis was that there would be no difference in the odds of having ever been admitted in the 18 months prior to this second assessment. The secondary (null) hypotheses were that the relative admission rates and the length of bed occupancy during this period would be the same for both groups.

Ethical permission for this study was given by the Institute of Psychiatry at the Maudsley (Kings College London, University of London). Ethical permission for the analysis of the data was given by the ethical committee of the London School of Hygiene and Tropical Medicine, University of London. Clinical ethical permission for participants to be traced, contacted and interviewed was given by the South London and Maudsley NHS Mental Health Trust (SlaM).

We assumed that the relative reduction in the rate of ever having been admitted would decrease by 10% in the next 5 years as the effects of specialist services waned; there are no comparative admission data currently available at 5 years for individuals who were exposed to specialist services as this is the first follow-up study of such a randomised cohort. Using data from clinical audit, the rate of ever having been admitted for individuals in ‘care as usual’ CMHTs is approximately 65% over 18 months at 5-year follow-up. We assumed a relative reduction in the rate of ever having been admitted of 23% between the two groups and a rate of 46% of ever having been admitted (for people who had been randomised to the specialist group) over the 18-month period leading up to 5 years post first admission. At a power of 80% and an alpha of 0.05, we determined that 234 people would be required in total to find a difference between the two groups if one existed. If all 144 individuals had been traced, the study would have a power of 56% of discovering a difference between the groups if such a difference existed at an alpha of 0.05. This study was underpowered but it is no longer possible to increase the sample size given that it would be unethical to randomise individuals again to care as usual. This follow-up study (although imperfect) provides the best evidence currently available in the clinical circumstances.

An extensive sequential tracing algorithm was used to find participants: individuals were traced using electronic patient records held by the local National Health Service (NHS) trust, the NHS Strategic Tracing Service (NSTS), land registry records, general practitioner (GP) records, the UK register of deaths or via the last known relative. We were not able to access prison records or Home Office immigration records for deported individuals. Migrants and prisoners may have had worse prognoses and more admissions than other people; differential loss to follow-up for this subgroup may have resulted in an ‘emigration bias’. Reference Brinded, Simpson, Laidlaw, Fairley and Malcolm11Reference Coid15 Follow-up was not masked to intervention arm as individuals often disclosed their treatment on interview and treatment group was apparent on review of the notes. Poor concealment was also an issue in the original LEO trial (as discussed above). To reduce the chance of information bias, dates of recorded admissions and the number of documented admissions were used as the primary sources for data collection. Information was verified by reference to written material or by reference to the team treating the individual.

All traced participants were successfully contacted (including those living overseas), and all agreed to provide follow-up information. Individuals were given information about the study on the telephone and this was followed up by written materials where requested. Participants were interviewed on the telephone or in person (whichever method they preferred). Figure 1 shows that of the original 144 participants who were randomised, 99 (69%) were traced and contacted. In comparison, Nordentoft et al in their 5-year follow-up study of service interventions in Denmark were able to contact 301 participants (55%) out of an incipient cohort of 547. Reference Bertelsen, Jeppesen, Petersen, Thorup, Ohlenschlaeger and Le Quach16

Fig. 1 Participant flow.

Reasons for exclusion: not resident in Lambeth, too old or too young (n = 38); did not meet diagnostic criteria (n = 90); already engaged with services (n = 35); lost before confirmed (n = 12).

To remove the potential influence of differential access to home treatment teams on hospital admission rates (as it is often provided as an alternative to admission), all home treatment team events were counted as equivalent to an admission. Where the home treatment team care was provided in isolation, the case was recorded as an admission with the length of home treatment counting as the length of hospital admission. In some cases, individuals initially receiving home treatment teams were then admitted: in this case, home treatment and hospital admission were counted as a single admission event. The total time of admission was the time in hospital plus the time with home treatment teams. The same algorithm was used for individuals who were discharged from the ward directly to home treatment teams.

Diagnoses were assigned at a median time of 5.3 years and were made using a notes-based diagnostic tool, the operational criteria OPCRIT checklist Reference McGuffin, Farmer and Harvey17 for psychotic and affective illness, which provided diagnoses according to the ICD–10 system. 4

Analyses were performed using STATA release 9 on Windows Vista. Linear regression models were employed to assess the relationship between initial randomisation group and outcome variables. There were two potential sources of confounding: failure of randomisation to produce balanced groups in the original LEO trial and differential contactability between treatment arms. (Details of the strategy for analysis for confounding and the results of these analyses are contained in the online supplement.) A sensitivity analysis was performed to assess the robustness of the findings when participants who could not be traced were assigned extreme values.

Results

Figure 1 shows the participant flow for both the original trial in 2000 and during the 18-month period of follow-up (i.e. 3.5 to 5 years after inception). One person died due to accidental causes. Of those who had been randomised to care as usual, 15 (28%) v. 15 (33%) of those who had been allocated to the specialist team had been discharged to their GP (Pearson χ2 = 0.359, P = 0.549, d.f. = 1). The length of time for which individuals were with their GP after discharge from services was highly skewed. Participants in specialist services who had been discharged to their GP spent a median of 0 days (IQR = 0–826) with their GP v. a median of 0 days (IQR = 0–264) for those randomised to care as usual. There was no significant difference in the length of time spent with their GP for either group (Mann–Whitney U = 1147.5, Z = –0.571, P = 0.568). Participants treated by the specialist service were followed up by psychiatric services for a median of 1778 days (IQR = 1152–2030) after first randomisation v. a median of 1887 days (IQR = 1640–2034) for those randomised to care as usual. There was no statistically significant difference in the length of time spent in psychiatric services for either group (U = 1077.5, Z = –0.973, P = 0.330). Individuals randomised to specialist services spent a median of 861 days in the specialist service (IQR = 720–1027). In total, 99 participants (70%) were successfully traced from the original cohort. By comparison, Nordentoft et al Reference Bertelsen, Jeppesen, Petersen, Thorup, Ohlenschlaeger and Le Quach16 in their 5-year follow-up were able to contact only 301 participants (55%) of an incipient cohort of 547, underscoring the difficulties of follow-up in this cohort.

The followed-up participants were representative of the original LEO sample (Table 1). Contactable participants were not significantly different in baseline clinical variables from those who were traced (see online supplement). Analysis for confounding (see online supplement for details) identified that ‘ever having been discharged from psychiatric services to a GP’ was a confounder in the relationship between whether of not a participant could be contacted and the main outcome of ever having been admitted. We also adjusted for imbalances in baseline variables: gender, previous psychotic episodes and ethnic group.

Table 1 Comparison of followed-up participants and original cohort

Original cohort baseline characteristics (n = 144) Baseline characteristics of participants traced 5 years later (n = 99)a
Age at baseline, years: median (IQR) 25 (21.0-25.0) 25.0 (20-25)
Male, n (%) 93 (65) 60 (60)
Ethnicity, n (%)
    White 45 (31) 28 (28)
    Black British 16 (11) 15 (15)
    Black Caribbean 22 (15) 15 (15)
    Black African 41 (28) 25 (25)
    Mixed 12 (8) 9 (9)
    Other 8 (5) 7 (7)
Single, n (%) 100 (69) 69 (69)
First episode,b n (%) 113 (78) 73 (73)
Living situation, n (%)
    Family 77 (54) 65 (65)
    Alone 41 (28) 26 (26)
    Otherc 24 (17) 8 (8)
Employment, n (%)
    Full time 17 (12) 8 (8)
    Part time 9 (6) 7 (7)
    Unemployed 90 (63) 55 (55)
Migrant, n (%) 56 (39) 38 (38)

Table 2 shows the cross-sectional differences between the two groups during the 18-month follow-up (i.e. from 3.5 to 5 years post-inception) at baseline. There was no difference in the chances of any admission, the number of admissions or the number of bed days used during the follow-up period. We noted that there was an increase in the number of admissions during the follow-up period relative to the initial review period. This increase was attributable to an increased admission rate for each individual relative to that during the initial follow-up period. Thus, during the second follow-up period, 21% of people were not admitted, 49% were admitted once, 20% were admitted twice and 8% were admitted three or more times. The reason for the increased number of admissions during this period is unclear. It may reflect changes in service structures over the period of the study, and/or a change in the pattern of service use or need as psychotic illnesses become more chronic.

Table 2 Primary outcome measures for participants receiving specialised care or standard care for early psychosis

18-month follow-up starting from time of entry 18-month follow-up starting 3.5 years after first entry
Specialised care group Standard care group P Specialised care group Standard care group P
Any readmissions, n (%) 23 (33) 33 (51) <0.001a 18 (33) 17 (39) 0.160a
Admissions, mean (s.d.)b 0.4 (0.7) 0.8 (1.0) 0.010c 1.65 (0.86) 1.83 (0.92) 0.56c
Bed-days in follow-up, mean (s.d.) 35.5 (78.9) 54.9 (93.6) 0.42c 45.25 (112.8) 51.41 (125) 0.88c

Regression modelling was employed to estimate effect size of interventions and to allow for adjustment with potential confounding factors.

Although the data were not normally distributed, because the data from the original LEO trial used a parametric analysis, we replicated this analysis so that the results during the initial and subsequent18-month periods could be more directly compared.

Data on number and length of admission during the 18-month period leading to 5 years were highly skewed. The median number of admissions was identical in both groups (median 0, IQR = 0–1). The mean number of bed days was 42.25 days (s.d. = 112.8, median 0, IQR = 0–31.0) and 51.41 days (s.d. = 125, median 0, IQR = 0–38.0) in the ‘specialist services’ and ‘care as usual’ groups respectively.

Table 3 shows the relationship between outcome and randomisation group for crude and adjusted regression modelling. There were no significant differences between the two groups in terms of any of the outcome measures before and after adjusting for confounders.

Table 3 Regression models for main outcomes

Predictor variable Crude regression coefficient or ORa 95% CI P Adjusted regression coefficient or ORb 95% CI P
Ever admittedc 1.26 0.549 to 2.89 0.586 1.24 0.460 to 3.34 0.670
Number of admissionsd 0.040 -0.463 to 0.544 0.875 0.006 -0.542 to 0.555 0.981
Length of stay,e days -6.16 -54.3 to 42.0 0.800 2.15 -50.4 to 54.7 0.935

Sensitivity analysis

In total, 26 participants in the specialist services arm and 18 people in the care as usual arm could not be traced at 5-year follow-up. We performed sensitivity analyses on the data from these missing individuals to examine the robustness of the finding from the initial logistic regression model that there was no group difference in ever having been admitted (see online supplement). We calculated that the finding of no observed differences in the odds of being admitted between the two groups would only be reversed if at least 80% of those who were missing from the specialised care group and had been admitted as well as if 20% of missing participants from the care as usual group had also ever been admitted (see online supplement). This is an unlikely scenario and uncontactable individuals in the specialised care arm would have to have been twice as likely to have ever been admitted as those from the specialised care arm who were traced. We discounted the scenarios where all or none of those people who could not have been traced had been admitted in either arm as being unlikely.

We examined the stability of the initial diagnosis of ‘non-affective psychosis’ that had been made 5 years previously when the participants took part in the original LEO study. Data were extracted from case notes and used in the OPCRIT algorithm to produce ICD–10 diagnoses. Table 4 shows the ICD–10 diagnostic category assigned by OPCRIT at the time of follow-up. The median time from entry into the study to diagnosis was 64.2 months (5.3 years) (IQR = 58.3–64.2 months). Of those who could be accorded a diagnosis at follow-up, more than 85% of them continued to be diagnosed with a psychotic illness.

Table 4 Diagnoses at follow-up

Diagnosis (ICD—10) n (%)
Schizophrenia, schizotypal, and delusional disorders 57 (58)
Other 5 (5)
Bipolar disorder 3 (3)
Depressive illness 2 (2)
Psychosis (not otherwise specified) 1 (1)
No diagnosis accorded 1 (1)
Sufficient information not available to give diagnosis 30 (30)

Discussion

Limitations

The power of the study to detect statistically significant differences between the two groups was low. However, this is not surprising given that the benefits of specialised services did not persist during the period of 3.5 to 5 years post-inception and relative differences between the two groups became smaller. Only a restricted range of clinical outcomes were assessed and potential benefits in other outcome domains may persist.

The study was conducted in an urban population with a relatively high incidence of psychosis, and high levels of poverty, unemployment and illicit drug use. The risk of developing psychosis and of relapsing after a first episode in this population may not be representative of the UK overall. Given these limitations, the results of this study should be generalised to other populations with caution.

Clinical implications

Although there is good evidence that specialised intervention in first-episode psychosis improves outcomes in the first 1–2 years, Reference Craig, Garety, Power, Rahaman, Colbert and Fornells-Ambrojo3 the extent to which these benefits persist in the longer term remains unclear, particularly after the specialised intervention is withdrawn.

Prodromal therapies

Prodromal interventions (before the onset of the first psychotic episode) may improve outcomes but at least two systematic reviews Reference de Koning, Bloemen, van Amelsvoort, Becker, Nieman and van der18,Reference Marshall and Rathbone19 conclude that the combined results of prodromal interventions are equivocal. More research on the efficacy of prodromal services is needed.

Future research

Aside from limited statistical power, the absence of a difference in outcome between the two groups at 5-year follow-up may reflect the withdrawal of the specialised intervention after 18 months (when there was a significant group difference); Reference Craig, Garety, Power, Rahaman, Colbert and Fornells-Ambrojo3 further investigation of this issue will require trials involving longer durations of specialised treatment. At present, specialised care for psychosis is usually provided for the initial 1–2 years of illness.

Funding

This study was funded by the Medical Research Council (UK) via a Clinical Research Training Fellowship to the lead author.

Footnotes

See pp. 377–382, this issue.

Declaration of interest

None.

References

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Figure 0

Fig. 1 Participant flow.Reasons for exclusion: not resident in Lambeth, too old or too young (n = 38); did not meet diagnostic criteria (n = 90); already engaged with services (n = 35); lost before confirmed (n = 12).

Figure 1

Table 1 Comparison of followed-up participants and original cohort

Figure 2

Table 2 Primary outcome measures for participants receiving specialised care or standard care for early psychosis

Figure 3

Table 3 Regression models for main outcomes

Figure 4

Table 4 Diagnoses at follow-up

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