Rates and predictors of disengagement of patients with first-episode psychosis from the early intervention service for sychosis service (EASY) covering 15 to 64 years of age in Hong Kong

Rates and predictors of service disengagement in first episode psychosis: Results from a 2-year follow-up study in an Italian real-world care setting

AIM

Service disengagement is a major problem for "Early Intervention in Psychosis" (EIP). Understanding predictors of engagement is also crucial to increase effectiveness of mental health treatments, especially in young people with First Episode Psychosis (FEP). No Italian investigation on this topic has been reported in the literature to date. The goal of this research was to assess service disengagement rate and predictors in an Italian sample of FEP subjects treated within an EIP program across a 2-year follow-up period.

METHODS

All patients were young FEP help-seekers, aged 12-35 years, recruited within the "Parma Early Psychosis" (Pr-EP) program. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were carried out.

RESULTS

489 FEP subjects were enrolled in this study. Across the follow-up, a 26 % prevalence rate of service disengagement was found. Particularly strong predictors of disengagement were living with parents, poor treatment adherence at entry and a low baseline PANSS "Disorganization" factor score.

CONCLUSION

More than a quarter of our FEP individuals disengaged the Pr-EP program during the first 2 years of intervention. A possible solution to reduce disengagement and to facilitate re-engagement of these young patients might be to offer the option of low-intensity monitoring and support, also via remote technology and tele-mental health care.

Short-term disengagement from early intervention service for first-episode psychosis: findings from the "Parma Early Psychosis" program

PURPOSE

Service disengagement is a major concern for "Early Intervention in Psychosis" (EIP). Indeed, identifying predictors of engagement is crucial to maximize mental healthcare interventions in first-episode psychosis (FEP). No Italian study on this topic has been reported to date. Thus, the aims of this investigation were: (1) to examine short-term disengagement rate in an Italian population of FEP patients treated within an EIP service across a 1-year follow-up period, and (b) to assess the most relevant predictors of disengagement in the first year of treatment.

METHODS

All participants were young FEP help-seeking patients, aged 12-35 years, enrolled within the "Parma Early Psychosis" (Pr-EP) protocol. At baseline, they completed the Positive And Negative Syndrome Scale (PANSS), the Health of the Nation Outcome Scale (HoNOS) and the Global Assessment of Functioning (GAF) scale. Univariate and multivariate Cox regression analyses were used.

RESULTS

496 FEP individuals were enrolled in this research. Across the follow-up, a 16.5% prevalence of short-term disengagement was found. Particularly robust predictors of service disengagement were poor baseline treatment non-adherence, living with parents and the presence of brief psychotic disorder or schizophreniform disorder at entry.

CONCLUSION

About 16% of FEP patients disengaged the Pr-EP program within the first year of treatment. A solution to reduce disengagement and/or to favor re-engagement of these subjects might be to remain on EIP program caseloads allowing the option for low-intensity support and monitoring, also via remote technology.

Assessing the generalisability of the psychosis metabolic risk calculator (PsyMetRiC) for young people with first-episode psychosis with validation in a Hong Kong Chinese Han population: a 4-year follow-up study

Background

Metabolic syndrome (MetS) is common following first-episode psychosis (FEP), contributing to substantial morbidity and mortality. The Psychosis Metabolic Risk Calculator (PsyMetRiC), a risk prediction algorithm for MetS following a FEP diagnosis, was developed in the United Kingdom and has been validated in other European populations. However, the predictive accuracy of PsyMetRiC in Chinese populations is unknown.

Methods

FEP patients aged 15-35 y, first presented to the Early Assessment Service for Young People with Early Psychosis (EASY) Programme in Hong Kong (HK) between 2012 and 2021 were included. A binary MetS outcome was determined based on the latest available follow-up clinical information between 1 and 12 years after baseline assessment. The PsyMetRiC Full and Partial algorithms were assessed for discrimination, calibration and clinical utility in the HK sample, and logistic calibration was conducted to account for population differences. Sensitivity analysis was performed in patients aged >35 years and using Chinese MetS criteria.

Findings

The main analysis included 416 FEP patients (mean age = 23.8 y, male sex = 40.4%, 22.4% MetS prevalence at follow-up). PsyMetRiC showed adequate discriminative performance (full-model C = 0.76, 95% C.I. = 0.69-0.81; partial-model: C = 0.73, 95% C.I. = 0.65-0.8). Systematic risk underestimation in both models was corrected using logistic calibration to refine PsyMetRiC for HK Chinese FEP population (PsyMetRiC-HK). PsyMetRiC-HK provided a greater net benefit than competing strategies. Results remained robust with a Chinese MetS definition, but worse for the older age group.

Interpretation

With good predictive performance for incident MetS, PsyMetRiC-HK presents a step forward for personalized preventative strategies of cardiometabolic morbidity and mortality in young Hong Kong Chinese FEP patients.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Context and contact: a comparison of patient and family engagement with early intervention services for psychosis in India and Canada

BACKGROUND

It is unknown whether patient disengagement from early intervention services for psychosis is as prevalent in low- and middle-income countries (LMICs) like India, as it is in high-income countries (HICs). Addressing this gap, we studied two first-episode psychosis programs in Montreal, Canada and Chennai, India. We hypothesized lower service disengagement among patients and higher engagement among families in Chennai, and that family engagement would mediate cross-site differences in patient disengagement.

METHODS

Sites were compared on their 2-year patient disengagement and family engagement rates conducting time-to-event analyses and independent samples t tests on monthly contact data. Along with site and family involvement, Cox proportional hazards regression included known predictors of patient disengagement (e.g. gender).

RESULTS

The study included data about 333 patients (165 in Montreal, 168 in Chennai) and their family members (156 in Montreal, 168 in Chennai). More Montreal patients (19%) disengaged before 24 months than Chennai patients (1%), χ²(1, N = 333) = 28.87, p < 0.001. Chennai families had more contact with clinicians throughout treatment (Cohen's d = -1.28). Family contact significantly predicted patient disengagement in Montreal (HR = 0.87, 95% CI 0.81-0.93). Unlike in Chennai, family contact declined over time in Montreal, with clinicians perceiving such contact as not necessary (Cohen's d = 1.73).

CONCLUSIONS

This is the first investigation of early psychosis service engagement across a HIC and an LMIC. Patient and family engagement was strikingly higher in Chennai. Maintaining family contact may benefit patient engagement, irrespective of context. Findings also suggest that differential service utilization may underpin cross-cultural variations in psychosis outcomes.

An integrated youth mental health service in a densely populated metropolitan area in Japan: Clinical case management bridges the gap between mental health and illness services

AIMS

A global movement, including in Asia, is seeking to establish integrated youth mental health services that provide early intervention in the continuum from mental health to mental illness. Clinical case management (CCM), in which a case manager becomes not only a coordinator of services but also a provider of psychosocial support, can establish a 'one-stop network' that supports youth in densely populated areas with various social resources. In 2019, we opened a community-based centre called 'SODA' in front of a metropolitan railway station, which was designed to be highly accessible, stigma-free and youth-friendly to provide CCM. We aimed to clarify its services and effectiveness of CCM.

METHODS

Data from 105 youths were investigated in a case-controlled study, dividing them into two groups: those who had received CCM for 6 months, and those whose needs were met in fewer sessions.

RESULTS

Twenty-one subjects who received CCM for 6 months had difficulties in more domains than the others. The mean of the total service minutes for the subjects who received CCM for 6 months was 491.3 min: psychological support (accounted for 24.8% of the time), support for community living (31.2%), work support (13.8%), family support (10.5%) and support for cooperation with other organizations (19.8%). Global Assessment of Functioning (GAF) score improved significantly, from 46.6 at baseline to 59.3 at 6 months.

CONCLUSION

Even in metropolitan areas with numerous medical facilities, young people can face high barriers to access. CCM can be effective as an early intervention for subjects developing mental illness.

Rates and Predictors of Disengagement and Strength of Engagement for People With a First Episode of Psychosis Using Early Intervention Services: A Systematic Review of Predictors and Meta-analysis of Disengagement Rates

Disengagement is a problem in early intervention for psychosis services; identifying predictors is important to maximise mental-health care.

Aim

To establish the average disengagement rate, time to disengage, and predictors of disengagement or strength of engagement.

Methods

Papers were identified from 5 databases and citation searches; chosen if they reported dis/engagement in early intervention services, discarded if they didn't give a clear definition of disengagement. The studies were rated for quality and a systematic review identified predictors of engagement; meta-analysis established the average disengagement rate. Meta-regression evaluated associations between disengagement and year of study or length of follow up.

Results

26 papers were reviewed comprising over 6800 participants, meta-analysis of 15 eligible cohorts found that the average disengagement rate was 15.60% (95% confidence intervals 11.76%-20.45%), heterogeneity was considerable, important to note when reporting as a global average. Higher disengagement rates were associated with earlier studies and length of follow up; causal factors are unclear due to the lack of data and complex interaction between clinical and methodological issues. Robust predictors of disengagement were substance use, contact with the criminal justice system, medication non-adherence, and lower symptom severity.

Conclusions

Disengagement rates have declined although the cause is not clear partly due to methodological variation, we suggest a guide for defining disengagement. Underpinning reasons for disengagement could include people who struggle to engage (substance users), don't want to engage (medication non-adherence) or feel they don't need to engage (lower symptomology). Future research should focus on minority status, education/employment during treatment, and digital technologies.

Disengagement From Early Intervention Services for Psychosis: A Systematic Review

OBJECTIVE

Therapeutic benefits associated with early services for psychosis are influenced by the degree to which participants engage in treatment. The main objective of this review was to analyze rates of disengagement in early psychosis services and identify predictors of disengagement in these settings.

METHODS

A systematic search for studies published in the 1966-2019 period was conducted in PubMed, Google Scholar, EBSCO, Ovid, and Embase. The Observational Cohort and Cross-Sectional Studies scale was used to assess the methodological quality of reports identified in this search. A revised version of the behavioral model of health service use was employed to evaluate and understand predictors of disengagement (categorized as predisposing, enabling, and need factors) identified in the studies with the highest quality.

RESULTS

Twenty studies met the inclusion criteria. Disengagement rates (12% to 53%) and definitions of disengagement varied widely across these studies. Most did not find a compelling association between predisposing factors (e.g., age) and disengagement. Enabling factors, such as lack of family support and living alone, were consistently found to be related to increased disengagement across studies. Finally, need factors, such as lower medication adherence and higher drug misuse, were associated with higher risk for disengagement.

CONCLUSIONS

Enabling and need factors seemed to be the most predictive of disengagement from early psychosis services. Substantial between-study variation in identified predictors of disengagement may be addressed by developing and applying a consensus definition of disengagement in future research.

Rate and predictors of interrupted patient follow-up after first-episode psychosis - a retrospective cohort study in France

BACKGROUND

Patient adherence to follow-up after a first episode of psychosis (FEP) is currently a major challenge. Patient's early adherence reduces the risk of relapse and improves their prognosis in the short and long term. The primary goal of our study was to determine the incidence of treatment disengagement at 1-year follow-up in patients with first-episode schizophrenia, schizophreniform or schizoaffective disorder. The secondary goal was to assess the factors associated with treatment disengagement in this patient population.

METHODS

We conducted a monocentric retrospective study of 136 patients in France. Relevant information was collected on sociodemographic, pre-morbidities and co-morbidities data, as well as the management and treatment characteristics at 1.3 and 12 months. Survival analysis was used to assess the association between clinical variables, management and treatment disengagement.

RESULTS

Eighty-four patients (62%) have interrupted their medical follow-up at 1 year, 16% at 1 month and 34% at 3 months. A higher number of out-patient appointments after a FEP was associated with better adherence (HR:0.85 p < .0001 95% IC = [0.0-0.9]). Initial management seems to play an important role. Involuntary admissions (HR:7.14 p = .015 95% IC = [1.48-34.52]) and total number of admissions (HR:6.86 p < .0001 95% IC = [2.47-19.05]) predict disengagement at 1 month while an increased number of out-patient appointments at 3 months predicts adherence (HR:0.60 p < .0001 95% IC = [0.00-0.74]). Being a single parent is associated with disengagement at 3 months (HR:15.51 p = .022 95% IC = [1.49-161.65]).

CONCLUSIONS

Incidence of disengagement is high. It might be necessary to change our management in order to develop out-patient or day-admission care and intensify care for patients at risk.

Rate and predictors of disengagement in an early psychosis program with time limited intensification of treatment

BACKGROUND

Service disengagement is a frequent problem in early intervention in psychosis. The goal of this study was to evaluate the rate and variables associated with service disengagement in a three year specialized program that allows treatment intensification on a case to case basis.

METHODS

328 early psychosis patients were assessed at baseline on a large set of socio-demographic and clinical variables and were followed-up over 36 months. Patients who left the program for reasons related to engagement with care were compared to patients who completed the program.

RESULTS

Rates of disengagement were low (6.3%). Patients with lower socio-economic status, who committed offences during the program or with a diagnosis of Schizophreniform/brief psychotic disorder were more likely to disengage from the program.

CONCLUSIONS

The engagement strategies implemented in the context of our early intervention programs have allowed to keep disengagements to a relatively low level. In this context, only 3 variables emerged to guide adaptation of the intervention in order to improve this already good engagement rate.

Predictors of study drop-out and service disengagement in patients at clinical high risk for psychosis

PURPOSE

Study drop-out during follow-up and service disengagement frequently occur in patients at clinical high risk for psychosis (CHR-P). However, little is known about their predictors. Therefore, we aimed to analyze the rate and reasons for drop-out and service disengagement in CHR-P patients and investigate their sociodemographic and clinical predictors.

METHODS

Data from 200 patients of the prospective Früherkennung von Psychosen (FePsy) study were analyzed with competing risks survival models, considering drop-out and transition to psychosis as competing events. To investigate whether symptoms changed immediately before drop-out, t tests were applied.

RESULTS

Thirty-six percent of patients dropped out within 5 years. Almost all drop-outs also disengaged from our service. Hence, study drop-out was used as a proxy for service disengagement. Patients with more severe baseline disorganized symptoms and a late inclusion into the study were significantly more likely to disengage. Immediately before disengagement, there was significant improvement in negative symptoms only.

CONCLUSION

A considerable proportion of CHR-P patients disengaged from our clinical study and service. Patients who were included during a later study period with more assessments disengaged more often, which might have been due to more frequent invitations to follow-up assessments and thereby increasing participation burden. Hence, our study provides a cautionary note on high-frequency follow-up assessments. Larger-scale studies evaluating predictors on multiple domains would help to further elucidate drop-out and disengagement.

Parental Factors for Mental Health Service Engagement Among Chinese Young Adults

Mental health service disengagement can have devastating consequences for people in need of mental health services. This study explored parental factors in mental health service engagement among Chinese young adult mental health service users. Seventy-two Chinese young adults, aged from 18 to 26 years, were recruited from a Hong Kong community mental health service center. Nearly three-fifths (58.3%) of participants were female and over two-fifths (44.2%) attended college. Results of logistic regression analysis showed that Chinese young adult mental health service users with high levels of perceived need for services and low levels of perceived parental involvement in mental health services were more likely to engage in mental health services. However, concerns about the parent-child relationship, perceived parental encouragement and perceived parental demand for mental health service use were not associated with mental health service engagement. The practice implications of these results are discussed in light of the Chinese context.

Defining disengagement from mental health services for individuals experiencing first episode psychosis: a systematic review

BACKGROUND

Individuals affected by psychotic disorders frequently disengage from mental health services, although reports of this rate in the literature have ranged from 6 to 60%. One of the potential explanations for the large variation is that studies have adopted different definitions. Without a universal definition it is challenging to compare rates and factors leading to disengagement across studies. This systematic review aims to identify and compare how disengagement from psychosis services has been defined, measured and operationalised in the literature to date.

METHODS

A systemic literature search of the PubMed, PsycINFO and CINAHL databases was completed following the PRISMA guidelines for systematic reviews.

RESULTS

1506 Studies were identified, of which 30 were eligible to be included. It was found that disengagement was operationalized as either a categorical or continuous variable across studies, with 18 studies classifying it as a categorical, binary variable. Only four studies applied a time period over which disengagement was said to occur, and only four studies used an instrument to measure or predict disengagement. Few studies considered similar factors in their definition, when this occurred it was because the papers came from the same research group.

DISCUSSION

To truly understand the phenomenon of disengagement, studies need to have a comparable outcome variable. The need for consensus on a gold standard definition of disengagement that considers the full breadth of its complexity remains. A potential process for establishing a definition that includes set parameters, agreed upon terminology and time periods of assessment is discussed.

The rates and determinants of disengagement and subsequent re-engagement in young people with first-episode psychosis

BACKGROUND

A core component of treatment provided by early intervention for psychosis (EI) services is ensuring individuals remain successfully engaged with the service. This ensures they can receive the care they may need at this critical early stage of illness. Unfortunately, rates of disengagement are high in individuals with a first episode of psychosis (FEP), representing a major barrier to effective treatment. This study aimed to ascertain the rates and determinants of disengagement and subsequent re-engagement of young people with FEP in a well-established EI service in Melbourne, Australia.

METHOD

This cohort study involved all young people, aged 15-24, who presented to the Early Psychosis Prevention and Intervention Centre (EPPIC) service with FEP between 1st January 2011 and 1st September 2014. Data were collected retrospectively from clinical files and electronic records. Cox regression analysis was used to identify determinants of disengagement and re-engagement.

RESULTS

A total of 707 young people presented with FEP during the study period, of which complete data were available for 700. Over half of the cohort (56.3%, N = 394) disengaged at least once during their treatment period, however, the majority of these individuals (85.5%, N = 337) subsequently re-engaged following the initial episode of disengagement. Of those who disengaged from the service, 54 never re-engaged, representing 7.6% of the total cohort. Not being in employment, education or training, not having a family history of psychosis in second degree relatives and using cannabis were found to be significant predictors of disengagement. No significant predictors of re-engagement were identified.

CONCLUSION

In this study, the rate of disengagement in young people with first-episode psychosis was higher than found previously. Encouragingly, rates of re-engagement were also high. The concept of disengagement from services might be more complex than previously thought with individuals disengaging and re-engaging a number of times during their episode of care. What prompts individuals to re-engage with services needs to be better understood.