Search

Purpose: The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics., Participants: The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications., Finding to Date: In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions., Future Plans: The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes., Trial Registration Number: EU PAS Register (EUPAS43218, prospectively registered)., Competing Interests: Competing interests: SN has received unrelated untied research funding from Seqirus to examine pharmaceutical opioid-related harms, and is a named investigator on a research grant from Indivior for an implementation trial of buprenorphine depot. DL has provided consultancy advice to Lundbeck and Indivior, and has been a speaker for Camurus, Indivior, Janssen, Lundbeck, Servier and Shire. He has also received research grants from Camurus and Seqirus. RB: nil. JI has received grants from Amgen and AstraZenica unrelated to this research topic., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: The mental health profession exposes healthcare workers to unique stressors such as associative stigma (stigmatisation that is extended from the stigmatised patients to psychiatric professionals and is based on affiliation with an individual with mental illness). Enhancing resilience, or the ability to 'bounce back' from adversity, is found to be useful in reducing occupational stress and its negative effects. In view of the high burnout rates reported among mental health professionals, this study aimed to examine resilience in this group of professionals and to explore the association between resilience and associative stigma., Design: Observational study-cross-sectional design., Setting: Tertiary psychiatry hospital in Singapore., Participants: The study was conducted among 470 mental health professionals (doctors, nurses and allied health professionals) working in the hospital., Measures: Resilience was assessed using the Brief Resilience Scale (BRS) and participants completed questionnaires that examined associative stigma. Participants provided their sociodemographic information, length of service, and information on whether they knew of a close friend or family member who had a mental illness., Results: Mean resilience score for the overall sample was 3.59 (SD=0.64). Older age (β=0.012, 95% CI 0.004 to 0.019, p=0.003) and having known a family member or close friend with a mental illness (β=0.155, 95% CI 0.019 to 0.290, p=0.025) predicted higher BRS score. Associative stigma remained significantly associated with resilience score after controlling for sociodemographic factors whereby higher associative stigma predicted lower resilience scores., Conclusion: The present finding suggests that resilience building programmes among mental health workers should target those of the younger age group, and that addressing the issue of associative stigma is essential., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: (1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals., Design: Cross-sectional online survey., Participants: Doctors, nurses and allied health staff, working in Singapore., Methods: Staff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction., Results: The latent class analysis revealed that items formed a three-class model where the classes were classified as 'no/low associative stigma', 'moderate associative stigma' and 'high associative stigma'. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. Multinomial logistic regression showed that years of service and occupation were significantly associated with moderate associative stigma, while factors associated with high associative stigma were education, ethnicity and occupation. Multiple linear regression analyses revealed that high associative stigma was significantly associated with lower job satisfaction scores., Conclusion: Associative stigma was not uncommon among mental health professionals and was associated with sociodemographic factors and poorer job satisfaction. Associative stigma has received comparatively little attention from empirical researchers and continued efforts to address this understudied yet important construct in conjunction with future efforts to dispel misconceptions related to mental illnesses are needed., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: To assess recognition of five mental disorders (alcohol abuse, dementia, depression, obsessive-compulsive disorder (OCD) and schizophrenia) among a sample of medical students using a vignette-based approach. Socio-demographic predictors of correct recognition were also explored., Design: Cross-sectional online survey., Participants: Medical students studying in Singapore., Methods: This was a cross-sectional online study among medical students (n=502) who were randomly assigned one of the five vignettes. Students were instructed to read the vignette, then answer the open text question, 'What do you think the person in the vignette is suffering from?' Multiple logistic regression was performed to determine the predictors of correct recognition., Results: 81.7% could correctly recognise the condition described in the vignette. Depression was most well recognised (93.0%), followed by alcohol abuse (89.0%), OCD (87.1%) and dementia (79.2%), while only 60.0% of students correctly recognised schizophrenia. Females were significantly more likely to correctly recognise the disorders, while the odds of correct recognition were significantly higher among fourth-year and fifth-year students compared with first-year students. Compared with depression, dementia and schizophrenia were significantly more likely to be mislabelled., Conclusion: While overall correct recognition was high (81.7%), this did vary by disorder, where schizophrenia (60%) was the most poorly recognised condition. Given that primary care providers are often the first professional help-seeking source for people with mental health problems, medical students should be equipped with the skills and ability to recognise signs and symptoms of various mental illnesses., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objectives: To examine whether self-stigma mediates the relationship between perceived stigma and quality of life, self-esteem and general functioning among outpatients with depression, schizophrenia, anxiety and obsessive-compulsive disorder (OCD)., Design: Cross-sectional survey., Setting: Outpatient clinics at a tertiary psychiatric hospital in Singapore., Participants: 280 outpatients with a primary clinical diagnosis of either schizophrenia, depression, anxiety or OCD., Methods: Data were collected in relation to self-stigma, perceived stigma, self-esteem, functioning and quality of life. In order to examine the mediating role of self-stigma on the relationship between perceived stigma and psychosocial outcomes, bootstrapping mediation analyses were used., Results: Mediation analyses revealed that the relationship between perceived stigma and psychosocial outcomes was subject to the effects of self-stigma among the overall sample. Separate mediation analyses were conducted by diagnoses and showed differences in the mediating effects of self-stigma. Among the whole sample and the subsample with OCD, self-stigma mediated the relationship between perceived stigma and all psychosocial outcomes. For those with anxiety, depression and schizophrenia, the mediating effects of self-stigma were present in all relationships except (1) perceived stigma with physical health in the anxiety sample, (2) perceived stigma with social relationships in the depression sample and (3) perceived stigma with physical health in the schizophrenia sample., Conclusions: The mediating effects of self-stigma on the relationship between perceived stigma and various psychosocial outcomes are evident and differ across diagnoses. Interventions to address and reduce the effects of self-stigma along with targeted treatments and psychoeducation to assist people with mental illness overcome or better manage self-stigma while providing them the skills to counteract public stigma are needed., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objectives: To establish the prevalence and correlates of continuum beliefs for five mental illnesses in a multiethnic population and to explore its association with stigma., Design: A community-based, cross-sectional study., Setting: A national study in a multiethnic Asian country., Participants: A comprehensive study of 3006 Singapore residents (Singapore citizens and permanent residents) aged 18-65 years who were living in Singapore at the time of the survey., Outcome Measures: Parameters assessed included belief in a continuum of symptom experience, stigma dimensions and causal beliefs in mental illness. Statistical analyses included descriptive statistics and multiple linear regression (MLR)., Results: About half of the population indicated agreement with a continuum of symptoms for depression (57.9%) and dementia (46.8%), whereas only about one in three respondents agreed with it for alcohol abuse (35.6%), schizophrenia (32.7%) and obsessive-compulsive disorder (OCD) (36.8%). MLR analyses revealed that students (β=0.28; 95% CI 0.05 to 0.50; p=0.018) and those who were unemployed (β=0.60; 95% CI 0.26 to 0.95; p=0.001) (vs employed) as well as those who had previous contact with people with mental illness (β = 0.31; 95% CI 0.18 to 0.45; p<0.001) and believed stress, family arguments, difficulties at work or financial difficulties to be a cause for mental illness (β=0.43; 95% CI 0.13 to 0.73; p=0.005) were associated with a higher belief in a continuum of symptom experience. Continuum beliefs were related to lower desire for social distance in alcohol abuse, OCD and schizophrenia; however, they were associated with higher scores on 'weak-not-sick' stigma dimension in dementia and schizophrenia., Conclusions: Perceiving that a person with a mental illness is similar to themselves may reduce social distancing by the public. Thus, the approach may lend itself well to public education aimed at reducing stigma., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)