Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort.

The concept of ultra-high risk for psychosis (UHR) has been at the forefront of psychiatric research for several decades, with the ultimate goal of preventing the onset of psychotic disorder in high-risk individuals. Orygen (Melbourne, Australia) has led a range of observational and intervention studies in this clinical population. These datasets have now been integrated into the UHR 1000+ cohort, consisting of a sample of 1,245 UHR individuals with a follow-up period ranging from 1 to 16.7 years. This paper describes the cohort, presents a clinical prediction model of transition to psychosis in this cohort, and examines how predictive performance is affected by changes in UHR samples over time. We analyzed transition to psychosis using a Cox proportional hazards model. Clinical predictors for transition to psychosis were investigated in the entire cohort using multiple imputation and Rubin's rule. To assess performance drift over time, data from 1995-2016 were used for initial model fitting, and models were subsequently validated on data from 2017-2020. Over the follow-up period, 220 cases (17.7%) developed a psychotic disorder. Pooled hazard ratio (HR) estimates showed that the Comprehensive Assessment of At-Risk Mental States (CAARMS) Disorganized Speech subscale severity score (HR=1.12, 95% CI: 1.02-1.24, p=0.024), the CAARMS Unusual Thought Content subscale severity score (HR=1.13, 95% CI: 1.03-1.24, p=0.009), the Scale for the Assessment of Negative Symptoms (SANS) total score (HR=1.02, 95% CI: 1.00-1.03, p=0.022), the Social and Occupational Functioning Assessment Scale (SOFAS) score (HR=0.98, 95% CI: 0.97-1.00, p=0.036), and time between onset of symptoms and entry to UHR service (log transformed) (HR=1.10, 95% CI: 1.02-1.19, p=0.013) were predictive of transition to psychosis. UHR individuals who met the brief limited intermittent psychotic symptoms (BLIPS) criteria had a higher probability of transitioning to psychosis than those who met the attenuated psychotic symptoms (APS) criteria (HR=0.48, 95% CI: 0.32-0.73, p=0.001) and those who met the Trait risk criteria (a first-degree relative with a psychotic disorder or a schizotypal personality disorder plus a significant decrease in functioning during the previous year) (HR=0.43, 95% CI: 0.22-0.83, p=0.013). Models based on data from 1995-2016 displayed good calibration at initial model fitting, but showed a drift of 20.2-35.4% in calibration when validated on data from 2017-2020. Large-scale longitudinal data such as those from the UHR 1000+ cohort are required to develop accurate psychosis prediction models. It is critical to assess existing and future risk calculators for temporal drift, that may reduce their utility in clinical practice over time.

Health and disability - a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions.

BACKGROUND: This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables. METHODS: Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression. RESULTS: A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status. CONCLUSIONS: The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.

Mapping the World Health Organization Disability Assessment Scale 2.0 to the EQ-5D-5L in patients with mental disorders.

OBJECTIVE: The current study aims to develop an algorithm for mapping the WHODAS 2.0 to the EQ-5D-5 L for patients with mental disorders. METHODS: This cross-sectional study was conducted at the Institute of Mental Health and Community Wellness Clinics in Singapore between June 2019 and November 2022. We included four regression methods including the Ordinary Least Square (OLS) regression, the Tobit regression model (Tobit), the robust regression with MM estimator (MM), and the adjusted limited dependent variable mixture model (ALDVMM) to map EQ-5D-5 L utility scores from the WHODAS 2.0. RESULTS: A total of 797 participants were included. The mean EQ-5D-5 L utility and WHODAS 2.0 total scores were 0.615 (SD = 0.342) and 11.957 (SD = 8.969), respectively. We found that the EQ-5D-5 L utility score was best predicted by the robust regression model with the MM estimator. Our findings suggest that the WHODAS 2.0 total scores were significantly and inversely associated with the EQ-5D-5 L utility scores. CONCLUSION: This study provides a mapping algorithm for converting the WHODAS 2.0 scores into EQ-5D-5 L utility scores which can be implemented using a simple online calculator in the following web application: https://eastats.shinyapps.io/whodas_eq5d/.

The relationship between therapeutic alliance, frequency of consultation and uptake of telemedicine among patients seeking treatment for early psychosis: A moderated mediation model.

Background: Telehealth services ensure the delivery of healthcare services to a wider range of consumers through online platforms. Nonetheless, the acceptance and uptake of telehealth remain elusive. This study aims to understand the (a) uptake and (b) acceptability of telemedicine, (c) if therapeutic alliance mediates the relationship between the frequency of consultations with clinicians and the uptake of telemedicine in patients with early psychosis, and (d) role of education in moderating the relationship between therapeutic alliance and the uptake of telemedicine for their mental healthcare. Methods: A convenience sample of outpatients (n = 109) seeking treatment for early psychosis and their care providers (n = 106) were recruited from a tertiary psychiatric care centre. Sociodemographic and clinical characteristics, therapeutic alliance (Working Alliance Inventory), and telemedicine use were captured through self-administered surveys. The moderated mediation analysis was performed using PROCESS macro 3.4.1 with therapeutic alliance and level of education as the mediating and moderating factors, respectively. Results: The acceptance of telemedicine was high (possibly will use: 47.7%; definitely will use: 26.6%) whilst the uptake was low (11%). Therapeutic alliance mediated the relationship between the frequency of consultation and the uptake of telemedicine (ß: 0.326; CI: 0.042, 0.637). This effect was moderated by the level of education (ß: -0.058; p < 0.05). Conclusion: Therapeutic alliance mediates the relationship between the frequency of consultations and the uptake of telemedicine services with the level of education moderating this mediation. Focusing on the patients with lower education to improve their telemedicine knowledge and therapeutic alliance might increase the uptake.

Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study.

Psychosis risk prediction is one of the leading challenges in psychiatry. Previous investigations have suggested that plasma proteomic data may be useful in accurately predicting transition to psychosis in individuals at clinical high risk (CHR). We hypothesized that an a priori-specified proteomic prediction model would have strong predictive accuracy for psychosis risk and aimed to replicate longitudinal associations between plasma proteins and transition to psychosis. This study used plasma samples from participants in 3 CHR cohorts: the North American Prodrome Longitudinal Studies 2 and 3, and the NEURAPRO randomized control trial (total n = 754). Plasma proteomic data were quantified using mass spectrometry. The primary outcome was transition to psychosis over the study follow-up period. Logistic regression models were internally validated, and optimism-corrected performance metrics derived with a bootstrap procedure. In the overall sample of CHR participants (age: 18.5, SD: 3.9; 51.9% male), 20.4% (n = 154) developed psychosis within 4.4 years. The a priori-specified model showed poor risk-prediction accuracy for the development of psychosis (C-statistic: 0.51 [95% CI: 0.50, 0.59], calibration slope: 0.45). At a group level, Complement C8B, C4B, C5, and leucine-rich α-2 glycoprotein 1 (LRG1) were associated with transition to psychosis but did not surpass correction for multiple comparisons. This study did not confirm the findings from a previous proteomic prediction model of transition from CHR to psychosis. Certain complement proteins may be weakly associated with transition at a group level. Previous findings, derived from small samples, should be interpreted with caution.

Equipercentile linking of the Sheehan Disability Scale and the World Health Organization Assessment Schedule 2.0 scales in people with mental disorders.

BACKGROUND: The Sheehan Disability Scale (SDS) and the World Health Organization Disability Assessment Scale (WHODAS 2.0) have been widely used to measure functional impairment and disability. To ensure that the scores from these two scales are practically exchangeable across diseases, therapies, and care programmes, the current study aimed to examine the linkage of the WHODAS 2.0 with the SDS and develop a simple and reliable conversion table for the two scales in people with mental disorders. METHODS: A total of 798 patients (mean age = 36.1, SD = 12.7) were recruited from outpatient clinics of the Institute of Mental Health, and the Community Wellness Clinic in Singapore. Using a single-group design, an equipercentile equating method with log-linear smoothing was used to establish a conversion table from the SDS to the WHODAS 2.0 and vice versa. RESULTS: The conversion table showed that the scores were consistent for the entire range of scores when the scores were converted either from the SDS to the WHODAS 2.0 or from the WHODAS 2.0 to the SDS. The agreement between the WHODAS 2.0's raw and converted scores and SDS's raw and converted scores were interpreted as good with intraclass correlation coefficient of 0.711 and 0.725, respectively. CONCLUSION: This study presents a simple and reliable method for converting the SDS scores to the WHODAS 2.0 scores and vice versa, enabling interchangeable use of data across these two disability measures.

Validation of the 12-item World Health Organization Disability Assessment Schedule 2.0 in individuals with schizophrenia, depression, anxiety, and diabetes in Singapore.

BACKGROUND: There is limited evidence on the reliability and validity of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) in an Asian patient population with mental and physical disorders. The current study aimed to examine the psychometric properties of the WHODAS 2.0 among patients with schizophrenia, depression, anxiety, and diabetes. METHODS: A total of 1076 patients (M = 40.9 years, SD = 14.7) were recruited from the outpatient clinics of a tertiary psychiatric hospital and a primary care clinic. Internal consistency and test-retest reliability, structural validity, convergent validity, agreement, and floor and ceiling effects were examined. RESULTS: Our confirmatory factor analysis (CFA) showed that the 1-factor model fits our data. Multigroup CFA demonstrated metric and scalar invariance, indicating the scores can be compared across the four conditions. The WHODAS 2.0 scale had excellent reliability in the overall sample and good to excellent reliability across conditions. The test-retest reliability and agreement between self-administered and interviewer-administered modes were good. The WHODAS 2.0 scores had moderate to strong correlations with the Social and Occupational Functioning Scale and the Sheehan Disability Scale scores in the overall sample and across four conditions. CONCLUSION: Findings suggest that the WHODAS 2.0 is a valid tool to measure functioning and disability in those with schizophrenia, anxiety, depression, and diabetes in an Asian patient population.

Self-stigma and quality of life among people with psychosis: The protective role of religion.

AIM: The quality of life in people with psychosis has been consistently demonstrated to be lower than those without, with self-stigma contributing greatly to this impairment. Hence, it is imperative to address this gap in order to facilitate recovery-oriented and other outcomes. This study investigates the potential of religiosity in moderating the effects of self-stigma on quality of life among those with psychosis. METHODS: Adults with psychosis (n = 99) were recruited from the Early Psychosis Intervention Programme in Singapore from 2018 to 2021, and administered the self-report Religious Commitment Index, Internalized Stigma of Mental Illness scale, and Abbreviated World Health Organization Quality of Life instrument. Linear regression analyses were conducted and the interaction between self-stigma and religious commitment scores calculated to investigate the moderation effects of religiosity on the relationship between stigma and quality of life. RESULTS: Preliminary regression analyses revealed a significant association between sex and psychological quality of life. After controlling for sex, religiosity was found to moderate the relationship between self-stigma and psychological quality of life. CONCLUSIONS: The results of the study demonstrate the potential of religiosity in buffering the effects of self-stigma on quality of life. This reveals an area that can be easily targeted and addressed in treatment programs to improve outcomes beyond the clinical setting among people living with psychosis, to facilitate their recovery journey and beyond.

Towards a youth mental health paradigm: a perspective and roadmap.

Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.

Mapping the schizophrenia quality of life scale to EQ-5D, HUI3 and SF-6D utility scores in patients with schizophrenia.

OBJECTIVES: The current study aimed to map the disease-specific Schizophrenia Quality of Life Scale (SQLS) onto the three- and five-level EuroQol five-dimension (EQ-5D-3 L and EQ-5D-5 L), Health Utility Index Mark 3 (HUI3) and Short Form six-dimensional (SF-6D) preference-based instruments to inform future cost-utility analyses for treatment of patients with schizophrenia. METHODS: Data from 251 outpatients with schizophrenia spectrum disorders was included for analysis. Ordinary least square (OLS), Tobit and beta regression mixture models were employed to estimate the utility scores. Three regression models with a total of 66 specifications were determined by goodness of fit and predictive indices. Distribution of the original data to the distributions of the data generated using the preferred estimated models were then compared. RESULTS: EQ-5D-3 L and EQ-5D-5 L were best predicted by the OLS model, including SQLS domain scores, domain-squared scores, age, and gender as explanatory predictors. The models produced the best performance index and resembled most closely with the observed EQ-5D data. HUI3 and SF-6D were best predicted by the OLS and Tobit model respectively. CONCLUSION: The current study developed mapping models for converting SQLS scores into generic utility scores, which can be used for economic evaluation among patients with schizophrenia.

EMDR versus waiting list in individuals at clinical high risk for psychosis with post-traumatic stress symptoms: A randomized controlled trial.

BACKGROUND: Post-traumatic stress disorder (PTSD) is highly prevalent in the individuals at clinical-high risk for psychosis (CHR). The aim of this study was to examine the efficacy and safety of Eye Movement Desensitization and Reprocessing (EMDR) in individuals at CHR with comorbid PTSD or subthreshold PTSD in a randomized controlled trial. METHODS: Fifty-seven individuals at CHR with PTSD or subthreshold PTSD formed the study sample. The eligible participants were randomly assigned to a 12 weeks EMDR treatment (N = 28) or a waiting list condition (WL, N = 29). The structured interview for psychosis risk syndrome (SIPS), the clinician administered post-traumatic stress disorder scale (CAPS) and a battery of self-rating inventories covering depressive, anxiety and suicidal symptoms were administered. RESULTS: Twenty-six participants in the EMDR group and all the participants in the WL group completed the study. The analyses of covariance revealed greater reduction of the mean scores on CAPS (F = 23.2, Partial η2 = 0.3, P < 0.001), SIPS positive scales (F = 17.8, Partial η2 = 0.25, P < 0.001) and all the self-rating inventories in the EMDR group than in the WL group. Participants in the EMDR group were more likely to achieve remission of CHR compared to those in the WL group at endpoint (60.7 % vs. 31 %, P = 0.025). CONCLUSIONS: EMDR treatment not only effectively improved traumatic symptoms, but also significantly reduced the attenuated psychotic symptoms and resulted in a higher remission rate of CHR. This study highlighted the necessity of adding a trauma-focused component to the present approach of early intervention in psychosis.

Effectiveness of Paliperidone Palmitate in Reducing Acute Psychiatric Service Use for Patients Suffering from Psychosis-A Retrospective Mirror-Image Study.

Poor adherence to antipsychotic treatment is a leading cause of relapse for patients suffering from psychotic disorders and the use of long-acting injectable antipsychotics (LAI) may lead to improved clinical outcomes. This was a 1-year mirror-image study examining the clinical outcomes after monthly administration of paliperidone palmitate (PP1M). The primary outcome measure was the total days of psychiatric hospitalization in the 1-year before and 1-year after initiation of PP1M. Data from 158 patients were included in the study. Most of the patients suffered from schizophrenia. In the year after initiation of PP1M, the mean number of hospitalization days fell from 106.53 to 19.10 (p < 0.001). There were significant reductions in the mean number of hospitalizations and emergency room visits. The use of paliperidone palmitate is associated with significant reduction in both the number of admissions and days of psychiatric hospitalization.

The economic burden of mental disorders among adults in Singapore: evidence from the 2016 Singapore Mental Health Study.

BACKGROUND: Little is known about the economic burden of mental disorders in multiethnic Asian populations. AIMS: The study aimed to estimate the economic cost of mental disorders in Singapore using data from the second Singapore Mental Health Study (SMHS 2016). METHOD: The SMHS 2016 is a nationally representative survey of the Singapore Resident population aged 18 years and above. Data on mental disorders and healthcare resource utilization were obtained from the World Mental Health Composite International Diagnostic Interview and the adapted version of the Client Service Receipt Inventory. RESULTS: The costs of visits to a restructured hospital doctor, other private health workers, accident and emergency, and intermediate and long-term care services and productivity losses tend to be much higher in those with mental disorders than those without mental disorders. The average annual excess cost associated with mental disorders per person was estimated to be S$3938.9 (95% CI, S$-100.8-S$7978.7). Extrapolation of these excess costs to the population suggests that the incremental costs of mental disorders in Singapore is about S$1.7 billion per year. CONCLUSION: This study provides evidence of the substantial burden of mental disorders on Singaporean society - both in terms of direct medical costs and loss of productivity costs.

Depression and Suicidality: The Roles of Social Support and Positive Mental Health.

OBJECTIVE: Despite being preventable, suicide remains a leading cause of death globally, with depression being one of the more prominent risk factors. This study examines the roles of social support and positive mental health in the depression-suicidality pathway. METHODS: We utilized data from the Singapore Mental Health Study 2016. Social support and positive mental health were examined as mediators in the relationship between 12-month depression and 12-month suicidality using survey-weighted generalized structural equation modeling. RESULTS: Overall positive mental health was found to partially mediate the relationship between depression and suicide. Of the discrete positive mental health domains, the depression-suicidality relationship was partially mediated by general coping and fully mediated by personal growth and autonomy. CONCLUSION: While findings regarding social support were inconclusive, positive mental health may play a significant role in alleviating the effects of depression on suicidality. This highlights the multifaceted nature of suicidality and reveals positive mental health as a new area in assessing and treating at-risk people, to improve clinical outcomes.HIGHLIGHTSThe effect of depression on suicidality was partially mediated by overall positive mental health.General coping partially mediated the relationship between depression and suicidality.Personal growth and autonomy fully mediated the relationship between depression and suicidality.

Prevalence and impact of peer victimisation among youth seeking treatment at a tertiary psychiatric institution in Singapore: a cross-sectional study.

BACKGROUND: Peer victimization is common among adolescents and leads to negative consequences. However, few studies have examined the extent of peer-victimization and its correlates among adolescent patients in a psychiatric setting. The current study aimed to examine the prevalence and correlates of peer victimisation among youth with mental illness and to examine its association with depressive symptoms and health-related quality of life (HRQOL). METHODS: A sample of 239 youths aged 15-24 years were recruited from the outpatient clinics of a tertiary psychiatric hospital in Singapore using convenience sampling. All participants were administered the Multidimensional Peer Victimisation Scale (MPVS), Short Form 12 (SF-12) questionnaire and the Patient Health Questionnaire-8 (PHQ-8). The effect of MPVS  total and subscores on depression scores, quality of life subscores and quality of life total scores were examined using multiple linear regression analyses. RESULTS: The majority of the patients reported that they had experienced at least one form of peer victimisation (95.8%, n = 229) during their school years. Higher levels of 'verbal victimisation', 'attacks on property' and higher total MPVS scores were significantly associated with lower social functioning; additionally, higher levels of 'verbal victimisation' were significantly associated with lower mental component summary scores in the quality of life assessment. Higher scores on all four subscales as well as higher total scores on the MPVS were significantly associated with more severe depressive symptoms. CONCLUSIONS: Given the high prevalence of peer victimisation in our sample and its associations with more severe depressive symptoms and lower quality of life, it is vital to implement interventions that prevent peer victimisation in educational and other social settings and to provide youth with strategies to more effectively manage instances of peer victimisation.

A qualitative study on negative experiences of social media use and harm reduction strategies among youths in a multi-ethnic Asian society.

PURPOSE: This study aimed to expand and inform the emerging body of research on the negative experiences of social media use among youths and how youths deal with them, in an Asian setting, using a qualitative approach. METHODS: Data were collected using 11 focus group discussions (FGDs) and 25 semi-structured interviews (SIs) among youths aged 15 to 24 years residing in Singapore who were recruited via purposive sampling. Data were analysed using thematic analysis. RESULTS: The salient negative effects mentioned by participants include the development of negative reactions and feelings from upward comparisons with others (e.g., others' achievements and lifestyle), receiving hurtful comments, exposure to controversial content (e.g., political events and social movements), as well as the perpetuation of negative feelings, behaviours, and sentiments (e.g., rumination, unhealthy eating behaviour, and self-harm). Participants also described strategies which they have employed or deemed to be useful in mitigating the negative effects of social media use. These include filtering content and users, taking breaks from social media, cognitive reframing, and self-affirmation, where they identify and change stress-inducing patterns of thinking by setting realistic social, physical, and lifestyle expectations for themselves, and focusing on self-development. CONCLUSION: The current results highlight that while youths experience negative effects of social media use, they have high media literacy and have employed strategies that appear to mitigate the negative effects of social media use. The findings can inform various stakeholders involved in helping youths navigate the harms of social media use or provide directions for intervention studies aimed at reducing the harms of social media use.

Evidence that complement and coagulation proteins are mediating the clinical response to omega-3 fatty acids: A mass spectrometry-based investigation in subjects at clinical high-risk for psychosis.

Preliminary evidence indicates beneficial effects of omega-3 polyunsaturated fatty acids (PUFAs) in early psychosis. The present study investigates the molecular mechanism of omega-3 PUFA-associated therapeutic effects in clinical high-risk (CHR) participants. Plasma samples of 126 CHR psychosis participants at baseline and 6-months follow-up were included. Plasma protein levels were quantified using mass spectrometry and erythrocyte omega-3 PUFA levels were quantified using gas chromatography. We examined the relationship between change in polyunsaturated PUFAs (between baseline and 6-month follow-up) and follow-up plasma proteins. Using mediation analysis, we investigated whether plasma proteins mediated the relationship between change in omega-3 PUFAs and clinical outcomes. A 6-months change in omega-3 PUFAs was associated with 24 plasma proteins at follow-up. Pathway analysis revealed the complement and coagulation pathway as the main biological pathway to be associated with change in omega-3 PUFAs. Moreover, complement and coagulation pathway proteins significantly mediated the relationship between change in omega-3 PUFAs and clinical outcome at follow-up. The inflammatory protein complement C5 and protein S100A9 negatively mediated the relationship between change in omega-3 PUFAs and positive symptom severity, while C5 positively mediated the relationship between change in omega-3 and functional outcome. The relationship between change in omega-3 PUFAs and cognition was positively mediated through coagulation factor V and complement protein C1QB. Our findings provide evidence for a longitudinal association of omega-3 PUFAs with complement and coagulation protein changes in the blood. Further, the results suggest that an increase in omega-3 PUFAs decreases symptom severity and improves cognition in the CHR state through modulating effects of complement and coagulation proteins.

Needs of patients with early psychosis: A comparison of patient's and mental health care provider's perception.

Background: Needs define the capacity of a patient to benefit from health care services and a systematic assessment of needs allows planning and delivery of effective treatment to suit patients. This study aimed to understand the (a) needs felt by patients and those perceived by the care providers (CPs), (b) agreement between patients and CPs in the identified needs and (c) factors associated with unmet needs. Methods: Participants (N = 215) were recruited through convenience sampling from the Early Psychosis Intervention Programme (EPIP). Data was captured from patients and CPs using the Camberwell Assessment of Needs Short Appraisal Schedule (CANSAS). Results: Patients and CPs identified an average of 4.06 and 3.84 needs, respectively. The highest number of unmet needs were identified for the social (50% of patients and CPs) and health domains (31.13% of patients' vs. 28.30% of CPs). Company, intimate relationships, psychotic symptoms, money, sexual expression and psychological distress, information and benefits were the unmet needs identified by patients, whereas company, intimate relationships, physical health, and daytime activities were identified by CPs. The concordance between patients and CPs was low with majority of the items scoring slight to fair agreement (Cohen's kappa = 0-0.4). Older age, depression, severe anxiety and having Obsessive-Compulsive Disorder (OCD) were positively associated with unmet needs in patients. Conclusion: While there was an overall consensus on the total needs and met needs between patients and CPs, the level of agreement between the two groups on various items were low. Different perceptions regarding unmet needs were noted between the groups. A holistic approach that takes into account different facets of the needs of patients together with strategic planning to address unmet needs might improve treatment outcomes and satisfaction.