Waiting time variation in Early Intervention Psychosis services: longitudinal evidence from the SEPEA naturalistic cohort study

Improving access to services for psychotic patients: does implementing a waiting time target make a difference

OBJECTIVE

In April 2015, the English National Health Service started implementing the first waiting time targets in mental health care. This study aims to investigate the effect of the 14-day waiting time target for early intervention in psychosis (EIP) services after the first six months of its implementation.

STUDY DESIGN

We analyse a cohort of first-episode psychosis patients from the English administrative Mental Health and Learning Disabilities Dataset 2011 to 2015. We compare patients being treated by EIP services (treatment) with those receiving care from standard community mental health services (control). We combine non-parametric matching with a difference-in-difference approach to account for observed and unobserved group differences. We analyse the probability of waiting below target and look at different percentiles of the waiting time distribution.

RESULTS

EIP patients had an 11.6-18.4 percentage point higher chance of waiting below target post-policy compared to standard care patients. However, post-policy trends at different percentiles of the waiting time distribution were not different between groups.

CONCLUSIONS

Mental health providers seem to respond to waiting time targets in a similar way as physical health providers. The increased proportion waiting below target did not, however, result in an overall improvement across the waiting time distribution.

Personality disorder in an Early Intervention Psychosis cohort: Findings from the Social Epidemiology of Psychoses in East Anglia (SEPEA) study

AIM

Personality Disorders (PD) often share clinical and phenomenological overlap with psychotic disorders, especially at onset. However, there is little research on comorbid PD among people experiencing first episode psychosis. We examined the prevalence of PD recording and its sociodemographic and clinical correlates in people accepted to Early Intervention in Psychosis (EIP) services.

METHODS

Participants were aged 16-35, accepted into 6 EIP services for suspected psychosis, as part of the Social Epidemiology of Psychoses in East Anglia (SEPEA) study. PD was recorded by clinicians according to ICD-10. Multilevel logistic regression was performed.

RESULTS

Of 798 participants, 76 people (9.5%) received a clinical diagnosis of PD, with emotionally unstable PD (75.0%, N = 57) the most common subtype. In multivariable analysis, risk factors for PD included female sex (odds ratio [OR]: 3.4; 95% CI: 2.0-5.7), absence of psychotic disorder after acceptance to EIP (OR: 3.0; 95% CI: 1.6-5.5), more severe hallucinations (OR: 1.6; 95% CI: 1.2-2.1), and lower parental SES (OR: 1.4; 95% CI: 1.1-1.8). Compared with the white British, black and minority ethnic groups were less likely to receive a PD diagnosis (OR: 0.3; 95% CI: 0.1-0.7). There was no association between PD and neighbourhood-level deprivation or population-density.

CONCLUSIONS

Recording of a PD diagnosis was three times more common amongst participants later found not to meet threshold criteria for psychotic disorder, implying phenomenological overlap at referral which highlights difficulties encountered in accurate diagnostic assessment, treatment and onward referral. People with PD experienced more individual-level, but not neighbourhood-level social disadvantage in an already disadvantaged sample.

Waiting Time as an Indicator for Health Services Under Strain: A Narrative Review

As pressure increases on public health systems globally, a potential consequence is that this is transferred to patients in the form of longer waiting times to receive care. In this review, we overview what waiting for health care encompasses, its measurement, and the data available in terms of trends and comparability. We also discuss whether waiting time is equally distributed according to socioeconomic status. Finally, we discuss the policy implications and potential approaches to addressing the burden of waiting time. Waiting time for elective surgery and emergency department care is the best described type of waiting time, and it either increases or remains unchanged across multiple developed countries. There are many challenges in drawing direct comparisons internationally, as definitions for these types of waiting times vary. There are less data on waiting time from other settings, but existing data suggest waiting time presents a significant barrier to health care access for a range of health services. There is also evidence that waiting time is unequally distributed to those of lower socioeconomic status, although this may be improving in some countries. Further work to better clarify definitions, identify driving factors, and understand hidden waiting times and identify opportunities for reducing waiting time or better using waiting time could improve health outcomes of our health services.

Characteristics and outcomes of young people with substance induced psychotic disorder

BACKGROUND

Substance induced psychotic disorders (SIPD) have been historically considered as associated with better clinical and functional outcomes than other psychotic diagnoses. As a result, treatments for those with SIPD are often considerably less intensive, yet this is not based on evidence. The present study aimed to examine whether differences exist between those with SIPD and other first episode psychosis (FEP) diagnoses in regards to demographic and clinical factors, and to determine the symptomatic, clinical and functional outcomes in those with SIPD.

METHODS

This study included all young people aged 15-24 who presented with a FEP to the Early Psychosis Prevention and Intervention Centre between 01/01/2011 and 31/12/2013. Group differences were analysed with independent samples t-tests and chi-square analyses and equivalent non-parametric tests as appropriate. Where applicable, odds ratios were calculated.

RESULTS

544 young people presented with a FEP and 10.3% (N = 56) were diagnosed with SIPD. Individuals with SIPD were more likely to be male, unemployed, and have a comorbid substance use disorder. There were no significant differences between groups regarding duration of untreated psychosis, severity of psychotic symptoms, time to remission, or rates of relapse. Those with SIPD were less likely to be employed or engaged in study at discharge and 35.7% of those with SIPD had a change of diagnosis to a schizophrenia spectrum or bipolar disorder after a median of 84 weeks.

CONCLUSION

Young people diagnosed with SIPD should be an important focus of early intervention services and receive comparable treatment to those with other psychotic diagnoses.