Pub Date : 2022-09-01Epub Date: 2021-10-11DOI: 10.1177/00048674211050299
Sue M Cotton, Jennifer K Betts, Dina Eleftheriadis, Kate Filia, Mirra Seigerman, Victoria K Rayner, Ben McKechnie, Carol Anne Hulbert, Louise McCutcheon, Martina Jovev, Sarah Bendall, Emma Burke, Catharine McNab, Sumudu Mallawaarachchi, Mario Alvarez-Jimenez, Andrew M Chanen, John Fm Gleeson
Objective: Caregivers of individuals with severe mental illness often experience significant negative experiences of care, which can be associated with higher levels of expressed emotion. Expressed emotion is potentially a modifiable target early in the course of illness, which might improve outcomes for caregivers and patients. However, expressed emotion and caregiver experiences in the early stages of disorders might be moderated by the type of severe mental illness. The aim was to determine whether experiences of the caregiver role and expressed emotion differ in caregivers of young people with first-episode psychosis versus young people with 'first-presentation' borderline personality disorder features.
Method: Secondary analysis of baseline (pre-treatment) data from three clinical trials focused on improving caregiver outcomes for young people with first-episode psychosis and young people with borderline personality disorder features was conducted (ACTRN12616000968471, ACTRN12616000304437, ACTRN12618000616279). Caregivers completed self-report measures of experiences of the caregiver role and expressed emotion. Multivariate generalised linear models and moderation analyses were used to determine group differences.
Results: Data were available for 265 caregivers. Higher levels of negative experiences and expressed emotion, and stronger correlations between negative experiences and expressed emotion domains, were found in caregivers of young people with borderline personality disorder than first-episode psychosis. Caregiver group (borderline personality disorder, first-episode psychosis) moderated the relationship between expressed emotion and caregiver experiences in the domains of need to provide backup and positive personal experiences.
Conclusion: Caregivers of young people with borderline personality disorder experience higher levels of negative experiences related to their role and expressed emotion compared with caregivers of young people with first-episode psychosis. The mechanisms underpinning associations between caregiver experiences and expressed emotion differ between these two caregiver groups, indicating that different supports are needed. For borderline personality disorder caregivers, emotional over-involvement is associated with both negative and positive experiences, so a more detailed understanding of the nature of emotional over-involvement for each relationship is required to guide action.
{"title":"A comparison of experiences of care and expressed emotion among caregivers of young people with first-episode psychosis or borderline personality disorder features.","authors":"Sue M Cotton, Jennifer K Betts, Dina Eleftheriadis, Kate Filia, Mirra Seigerman, Victoria K Rayner, Ben McKechnie, Carol Anne Hulbert, Louise McCutcheon, Martina Jovev, Sarah Bendall, Emma Burke, Catharine McNab, Sumudu Mallawaarachchi, Mario Alvarez-Jimenez, Andrew M Chanen, John Fm Gleeson","doi":"10.1177/00048674211050299","DOIUrl":"https://doi.org/10.1177/00048674211050299","url":null,"abstract":"<p><strong>Objective: </strong>Caregivers of individuals with severe mental illness often experience significant negative experiences of care, which can be associated with higher levels of expressed emotion. Expressed emotion is potentially a modifiable target early in the course of illness, which might improve outcomes for caregivers and patients. However, expressed emotion and caregiver experiences in the early stages of disorders might be moderated by the type of severe mental illness. The aim was to determine whether experiences of the caregiver role and expressed emotion differ in caregivers of young people with first-episode psychosis versus young people with 'first-presentation' borderline personality disorder features.</p><p><strong>Method: </strong>Secondary analysis of baseline (pre-treatment) data from three clinical trials focused on improving caregiver outcomes for young people with first-episode psychosis and young people with borderline personality disorder features was conducted (ACTRN12616000968471, ACTRN12616000304437, ACTRN12618000616279). Caregivers completed self-report measures of experiences of the caregiver role and expressed emotion. Multivariate generalised linear models and moderation analyses were used to determine group differences.</p><p><strong>Results: </strong>Data were available for 265 caregivers. Higher levels of negative experiences and expressed emotion, and stronger correlations between negative experiences and expressed emotion domains, were found in caregivers of young people with borderline personality disorder than first-episode psychosis. Caregiver group (borderline personality disorder, first-episode psychosis) moderated the relationship between expressed emotion and caregiver experiences in the domains of need to provide backup and positive personal experiences.</p><p><strong>Conclusion: </strong>Caregivers of young people with borderline personality disorder experience higher levels of negative experiences related to their role and expressed emotion compared with caregivers of young people with first-episode psychosis. The mechanisms underpinning associations between caregiver experiences and expressed emotion differ between these two caregiver groups, indicating that different supports are needed. <i>For borderline personality disorder caregivers, emotional over-involvement is associated with both negative and positive experiences, so a more detailed understanding of the nature of emotional over-involvement for each relationship is required to guide action.</i></p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1142-1154"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39501520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2021-12-31DOI: 10.1177/00048674211068395
Clément Dondé, Antoine Jaffiol, Charles Khouri, Arnaud Pouchon, Renaud Tamisier, Michel Lejoyeux, Marie-Pia d'Ortho, Mircea Polosan, Pierre A Geoffroy
Objective: To provide a qualitative view and quantitative measure of sleep disturbances across and between early stages - clinical ultra high-risk and first episode - of psychotic and bipolar disorders.
Methods: Electronic databases (PubMed, Cochrane, Embase, PsychINFO) were searched up to March 2021 for studies comparing sleep measures between individuals with an early stage and controls. Standard mean deviations (Cohen's d effect sizes) were calculated for all comparisons and pooled with random-effects models. Chi-square tests were used for direct between-subgroups (ultra high-risk vs first episode) comparisons of standard mean deviations. The effects of age, sex ratio, symptoms and treatment were examined in meta-regression analyses.
Results: A database search identified 13 studies that contrasted sleep measures between individuals with an early stage (N = 537) and controls (N = 360). We observed poorer subjective sleep quality (standard mean deviation = 1.32; 95% confidence interval, [1.01, 1.62]), shorter total sleep time (standard mean deviation =-0.44; 95% confidence interval, [-0.67, -0.21]), lower sleep efficiency (standard mean deviation = -0.72; 95% confidence interval, [-1.08, -0.36]), longer sleep onset latency (standard mean deviation = 0.75; 95% confidence interval, [0.45, 1.06]) and longer duration of wake after sleep onset (standard mean deviation = 0.49; 95% confidence interval, [0.21, 0.77]) were observed in early stages compared to controls. No significant differences were observed for any of the reported electroencephalographic parameters of sleep architecture. No significant between-subgroups differences were observed. Meta-regressions revealed a significant effect of the age and the antipsychotic status on subjective measures of sleep.
Conclusion: The early stage population presents with significant impairments of subjective sleep quality continuity, duration and initiation. Systematic assessments of sleep in early intervention settings may allow early identification and treatment of sleep disturbances in this population.
{"title":"Sleep disturbances in early clinical stages of psychotic and bipolar disorders: A meta-analysis.","authors":"Clément Dondé, Antoine Jaffiol, Charles Khouri, Arnaud Pouchon, Renaud Tamisier, Michel Lejoyeux, Marie-Pia d'Ortho, Mircea Polosan, Pierre A Geoffroy","doi":"10.1177/00048674211068395","DOIUrl":"https://doi.org/10.1177/00048674211068395","url":null,"abstract":"<p><strong>Objective: </strong>To provide a qualitative view and quantitative measure of sleep disturbances across and between early stages - clinical ultra high-risk and first episode - of psychotic and bipolar disorders.</p><p><strong>Methods: </strong>Electronic databases (PubMed, Cochrane, Embase, PsychINFO) were searched up to March 2021 for studies comparing sleep measures between individuals with an early stage and controls. Standard mean deviations (Cohen's <i>d</i> effect sizes) were calculated for all comparisons and pooled with random-effects models. Chi-square tests were used for direct between-subgroups (ultra high-risk vs first episode) comparisons of standard mean deviations. The effects of age, sex ratio, symptoms and treatment were examined in meta-regression analyses.</p><p><strong>Results: </strong>A database search identified 13 studies that contrasted sleep measures between individuals with an early stage (<i>N</i> = 537) and controls (<i>N</i> = 360). We observed poorer subjective sleep quality (standard mean deviation = 1.32; 95% confidence interval, [1.01, 1.62]), shorter total sleep time (standard mean deviation =-0.44; 95% confidence interval, [-0.67, -0.21]), lower sleep efficiency (standard mean deviation = -0.72; 95% confidence interval, [-1.08, -0.36]), longer sleep onset latency (standard mean deviation = 0.75; 95% confidence interval, [0.45, 1.06]) and longer duration of wake after sleep onset (standard mean deviation = 0.49; 95% confidence interval, [0.21, 0.77]) were observed in early stages compared to controls. No significant differences were observed for any of the reported electroencephalographic parameters of sleep architecture. No significant between-subgroups differences were observed. Meta-regressions revealed a significant effect of the age and the antipsychotic status on subjective measures of sleep.</p><p><strong>Conclusion: </strong>The early stage population presents with significant impairments of subjective sleep quality continuity, duration and initiation. Systematic assessments of sleep in early intervention settings may allow early identification and treatment of sleep disturbances in this population.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1068-1079"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39775227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2021-09-24DOI: 10.1177/00048674211046891
Pao-Huan Chen, Shang-Ying Tsai, Chun-Hung Pan, Yi-Lung Chen, Sheng-Siang Su, Chiao-Chicy Chen, Chian-Jue Kuo
Objective: Medical comorbidities are prevalent in patients with bipolar disorder. Evaluating longitudinal trends of the incidence of medical illnesses enables implementation of early prevention strategies to reduce the high mortality rate in this at-risk population. However, the incidence risks of medical illnesses in the early stages of bipolar disorder remain unclear. This study investigated the incidence and 5-year trend of medical illnesses following bipolar disorder diagnosis.
Methods: We identified 11,884 patients aged 13-40 years who were newly diagnosed as having bipolar disorder during 1996-2012 and 47,536 age- and sex-matched controls (1:4 ratio) who represented the general population from Taiwan's National Health Insurance Research Database. We estimated the prevalence and incidence of individual medical illnesses yearly across the first 5 years after the index date. The adjusted incidence rate ratio was calculated to compare the occurrence of specific medical illnesses each year between the bipolar disorder group and control group using the Poisson regression model.
Results: Apart from the prevalence, the adjusted incidence rate ratios of most medical illnesses were >1.00 across the first 5-year period after bipolar disorder diagnosis. Cerebrovascular diseases, ischaemic heart disease, congestive heart failure, other forms of heart disease, renal disease and human immunodeficiency virus infection exhibited the highest adjusted incidence rate ratios during the first year. Except for that of renal disease, the 5-year trends of the adjusted incidence rate ratios decreased for cerebrovascular diseases, cardiovascular diseases (e.g. ischaemic heart disease, other forms of heart disease, and vein and lymphatic disease), gastrointestinal diseases (e.g. chronic hepatic disease and ulcer disease) and communicable diseases (e.g. human immunodeficiency virus infection, upper respiratory tract infection and pneumonia).
Conclusion: Incidence risks of medical illnesses are increased in the first year after bipolar disorder diagnosis. Clinicians must carefully evaluate medical illnesses during this period because the mortality rates from medical illnesses are particularly high in people with bipolar disorder.
{"title":"Prevalence and 5-year trend of incidence for medical illnesses after the diagnosis of bipolar disorder: A nationwide cohort study.","authors":"Pao-Huan Chen, Shang-Ying Tsai, Chun-Hung Pan, Yi-Lung Chen, Sheng-Siang Su, Chiao-Chicy Chen, Chian-Jue Kuo","doi":"10.1177/00048674211046891","DOIUrl":"https://doi.org/10.1177/00048674211046891","url":null,"abstract":"<p><strong>Objective: </strong>Medical comorbidities are prevalent in patients with bipolar disorder. Evaluating longitudinal trends of the incidence of medical illnesses enables implementation of early prevention strategies to reduce the high mortality rate in this at-risk population. However, the incidence risks of medical illnesses in the early stages of bipolar disorder remain unclear. This study investigated the incidence and 5-year trend of medical illnesses following bipolar disorder diagnosis.</p><p><strong>Methods: </strong>We identified 11,884 patients aged 13-40 years who were newly diagnosed as having bipolar disorder during 1996-2012 and 47,536 age- and sex-matched controls (1:4 ratio) who represented the general population from Taiwan's National Health Insurance Research Database. We estimated the prevalence and incidence of individual medical illnesses yearly across the first 5 years after the index date. The adjusted incidence rate ratio was calculated to compare the occurrence of specific medical illnesses each year between the bipolar disorder group and control group using the Poisson regression model.</p><p><strong>Results: </strong>Apart from the prevalence, the adjusted incidence rate ratios of most medical illnesses were >1.00 across the first 5-year period after bipolar disorder diagnosis. Cerebrovascular diseases, ischaemic heart disease, congestive heart failure, other forms of heart disease, renal disease and human immunodeficiency virus infection exhibited the highest adjusted incidence rate ratios during the first year. Except for that of renal disease, the 5-year trends of the adjusted incidence rate ratios decreased for cerebrovascular diseases, cardiovascular diseases (e.g. ischaemic heart disease, other forms of heart disease, and vein and lymphatic disease), gastrointestinal diseases (e.g. chronic hepatic disease and ulcer disease) and communicable diseases (e.g. human immunodeficiency virus infection, upper respiratory tract infection and pneumonia).</p><p><strong>Conclusion: </strong>Incidence risks of medical illnesses are increased in the first year after bipolar disorder diagnosis. Clinicians must carefully evaluate medical illnesses during this period because the mortality rates from medical illnesses are particularly high in people with bipolar disorder.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1164-1176"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39447103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2021-10-16DOI: 10.1177/00048674211051618
Mark Taylor, Dante Dangelo-Kemp, Dennis Liu, Steve Kisely, Simon Graham, Jodie Hartmann, Sam Colman
Objectives: To evaluate the utilisation and persistence of antipsychotics for the treatment of schizophrenia in Australia.
Methods: A retrospective study using the Australian Pharmaceutical Benefits Scheme database of a representative 10% sample. All adults with schizophrenia who were dispensed three or more supplies of oral (including clozapine) or long-acting injectable antipsychotics between 1 June 2015 and 31 May 2020 were included. Persistence time in treatment was evaluated using survival analysis and Cox hazard ratios.
Results: In all, 26,847 adults with schizophrenia were studied. Oral second-generation antipsychotics were more frequently dispensed than the other antipsychotic groups studied. Median treatment persistence times were 18.3 months for second-generation antipsychotic long-acting injectables, 10.7 months for oral second-generation antipsychotics and were significantly lower for both formulations of first-generation antipsychotics at 5.2 months (long-acting injectables) and 3.7 months (oral). The median persistence time for clozapine was significantly longer than all other antipsychotics groups.
Conclusions: Oral second-generation antipsychotics and second-generation antipsychotic long-acting injectables accounted for over 75% and 13% of all antipsychotics in Australia, respectively. Concerns over medication adherence and subsequent relapse have not translated into increased long-acting injectable usage despite their significantly longer persistence. Clozapine, the single most 'persistent' antipsychotic, was only used in 9% of people, although up to a third of all cases are likely to be treatment-resistant. Our data suggest clinicians should give consideration to the earlier use of second-generation antipsychotic long-acting injectables and clozapine, to ameliorate prognosis in schizophrenia.
{"title":"Antipsychotic utilisation and persistence in Australia: A nationwide 5-year study.","authors":"Mark Taylor, Dante Dangelo-Kemp, Dennis Liu, Steve Kisely, Simon Graham, Jodie Hartmann, Sam Colman","doi":"10.1177/00048674211051618","DOIUrl":"https://doi.org/10.1177/00048674211051618","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the utilisation and persistence of antipsychotics for the treatment of schizophrenia in Australia.</p><p><strong>Methods: </strong>A retrospective study using the Australian Pharmaceutical Benefits Scheme database of a representative 10% sample. All adults with schizophrenia who were dispensed three or more supplies of oral (including clozapine) or long-acting injectable antipsychotics between 1 June 2015 and 31 May 2020 were included. Persistence time in treatment was evaluated using survival analysis and Cox hazard ratios.</p><p><strong>Results: </strong>In all, 26,847 adults with schizophrenia were studied. Oral second-generation antipsychotics were more frequently dispensed than the other antipsychotic groups studied. Median treatment persistence times were 18.3 months for second-generation antipsychotic long-acting injectables, 10.7 months for oral second-generation antipsychotics and were significantly lower for both formulations of first-generation antipsychotics at 5.2 months (long-acting injectables) and 3.7 months (oral). The median persistence time for clozapine was significantly longer than all other antipsychotics groups.</p><p><strong>Conclusions: </strong>Oral second-generation antipsychotics and second-generation antipsychotic long-acting injectables accounted for over 75% and 13% of all antipsychotics in Australia, respectively. Concerns over medication adherence and subsequent relapse have not translated into increased long-acting injectable usage despite their significantly longer persistence. Clozapine, the single most 'persistent' antipsychotic, was only used in 9% of people, although up to a third of all cases are likely to be treatment-resistant. Our data suggest clinicians should give consideration to the earlier use of second-generation antipsychotic long-acting injectables and clozapine, to ameliorate prognosis in schizophrenia.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1155-1163"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39524335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2022-06-22DOI: 10.1177/00048674221106668
James A Foulds, Erik Monasterio, Jesse T Young
Australian & New Zealand Journal of Psychiatry, 56(9) In 2008, the World Health Organization warned that without action ‘prisons will move closer to becoming twenty-first Century asylums for the mentally ill’ (World Health Organization, 2008). We previously expressed alarm about rising imprisonment in Australia and New Zealand and its impact on people with mental illness and the wider community (Foulds and Monasterio, 2018). Public debate about the role of prisons in society is vital. Imprisonment damages family, and economic and social bonds; harms the mental health of children and adolescents; and leads to long-run increases in both crime and morbidity. Since its peak at 10,820 in March 2018, New Zealand’s prison population has reduced to 7702 in December 2021. This remarkable 29% decrease lowers New Zealand’s per capita incarceration rate to about 150 per 100,000 – similar to Australia and near the Organisation for Economic Co-operation and Development (OECD) average. The reduction has been even more dramatic for women, whose population has fallen 43% over that period. Here, we discuss how this has been achieved, what can be learned from New Zealand’s experience and what still needs to be done. Rates of incarceration had been going up in New Zealand since the 1990s, despite little increase in serious crime. This increase accelerated after the Bail Amendment Act 2013, which raised the threshold for bail for many defendants. Similar bail law changes occurred in several Australian jurisdictions in the past decade (Auld and Quilter, 2020). In response to the rapid increase in the prison population, in 2017 the new Labour coalition government announced a goal to lower the prison population by 30% over 15 years. Plans to build a 2000bed ‘mega-prison’ were scrapped. The government’s objectives were supported by the Chief Science Advisor, who commented publicly on the rising costs of incarceration and the need for justice sector reform (Lambie and Gluckman, 2018). As shown in Table 1, multiple government agencies were enlisted to help achieve this goal, including Police, the Department of Corrections and the Ministry of Justice. Altered policing practices encouraged frontline Police to resolve incidents without prosecution. The multi-agency ‘High Impact Innovation Programme’ led by the Department of Corrections brought in new bail support services, changes to electronically monitored bail, restructuring of home detention, better support for Police with preparing prosecution files and more help for parole readiness. The Ministry of Justice response, known as Hāpaitia te Oranga Tangata, aimed to improve the experience of people in contact with the justice system. For example, Māori community panels were set up to help Police address low-level offending without involvement of the Courts. Within the Department of Corrections, a new strategic policy Hōkai Rangi was introduced in 2019. This policy emphasises not just offending outcomes, but also the wellbei
{"title":"Return from the precipice: New Zealand's rapid prison population decrease and its implications.","authors":"James A Foulds, Erik Monasterio, Jesse T Young","doi":"10.1177/00048674221106668","DOIUrl":"https://doi.org/10.1177/00048674221106668","url":null,"abstract":"Australian & New Zealand Journal of Psychiatry, 56(9) In 2008, the World Health Organization warned that without action ‘prisons will move closer to becoming twenty-first Century asylums for the mentally ill’ (World Health Organization, 2008). We previously expressed alarm about rising imprisonment in Australia and New Zealand and its impact on people with mental illness and the wider community (Foulds and Monasterio, 2018). Public debate about the role of prisons in society is vital. Imprisonment damages family, and economic and social bonds; harms the mental health of children and adolescents; and leads to long-run increases in both crime and morbidity. Since its peak at 10,820 in March 2018, New Zealand’s prison population has reduced to 7702 in December 2021. This remarkable 29% decrease lowers New Zealand’s per capita incarceration rate to about 150 per 100,000 – similar to Australia and near the Organisation for Economic Co-operation and Development (OECD) average. The reduction has been even more dramatic for women, whose population has fallen 43% over that period. Here, we discuss how this has been achieved, what can be learned from New Zealand’s experience and what still needs to be done. Rates of incarceration had been going up in New Zealand since the 1990s, despite little increase in serious crime. This increase accelerated after the Bail Amendment Act 2013, which raised the threshold for bail for many defendants. Similar bail law changes occurred in several Australian jurisdictions in the past decade (Auld and Quilter, 2020). In response to the rapid increase in the prison population, in 2017 the new Labour coalition government announced a goal to lower the prison population by 30% over 15 years. Plans to build a 2000bed ‘mega-prison’ were scrapped. The government’s objectives were supported by the Chief Science Advisor, who commented publicly on the rising costs of incarceration and the need for justice sector reform (Lambie and Gluckman, 2018). As shown in Table 1, multiple government agencies were enlisted to help achieve this goal, including Police, the Department of Corrections and the Ministry of Justice. Altered policing practices encouraged frontline Police to resolve incidents without prosecution. The multi-agency ‘High Impact Innovation Programme’ led by the Department of Corrections brought in new bail support services, changes to electronically monitored bail, restructuring of home detention, better support for Police with preparing prosecution files and more help for parole readiness. The Ministry of Justice response, known as Hāpaitia te Oranga Tangata, aimed to improve the experience of people in contact with the justice system. For example, Māori community panels were set up to help Police address low-level offending without involvement of the Courts. Within the Department of Corrections, a new strategic policy Hōkai Rangi was introduced in 2019. This policy emphasises not just offending outcomes, but also the wellbei","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1057-1059"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40178035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2022-02-16DOI: 10.1177/00048674221080708
Tania Perich, Philip B Mitchell, Bojana Vilus
Stigma has been found to have an impact on those living with bipolar disorder, with many experiencing negative consequences of stereotypes, prejudice and discrimination as a result of their condition. The aim of this review was to assess the current literature in bipolar disorder to determine the impact of stigma on people living with this condition and caregivers. Public stigma was associated with greater functional impairment, anxiety and poorer work-related outcomes, while self-stigma was also found to be associated with lower levels of functioning across a range of domains and greater depressive and anxiety symptoms. For those with bipolar disorder, public stigma was reported at similar rates to those with schizophrenia and depression in some studies, with other studies noting mixed results. Qualitative studies noted that public stigma and discrimination were experienced from family, friends and healthcare providers. Self-stigma was found to be higher for those who were younger in several studies and associated with worse medication adherence. It was generally found to be higher in bipolar disorder participants than in those with anxiety disorders and lower than those with personality disorders. Limitations of the current research include the following: few studies have used a longitudinal design, few have assessed the impact of stigma on medication adherence and few have explored these issues in younger populations. More research is needed to explore the experiences of self-stigma for those in the younger age group specifically, given the relationship between younger age and greater self-stigma noted in several studies and the relationship between this and lower treatment adherence.
{"title":"Stigma in bipolar disorder: A current review of the literature.","authors":"Tania Perich, Philip B Mitchell, Bojana Vilus","doi":"10.1177/00048674221080708","DOIUrl":"https://doi.org/10.1177/00048674221080708","url":null,"abstract":"<p><p>Stigma has been found to have an impact on those living with bipolar disorder, with many experiencing negative consequences of stereotypes, prejudice and discrimination as a result of their condition. The aim of this review was to assess the current literature in bipolar disorder to determine the impact of stigma on people living with this condition and caregivers. Public stigma was associated with greater functional impairment, anxiety and poorer work-related outcomes, while self-stigma was also found to be associated with lower levels of functioning across a range of domains and greater depressive and anxiety symptoms. For those with bipolar disorder, public stigma was reported at similar rates to those with schizophrenia and depression in some studies, with other studies noting mixed results. Qualitative studies noted that public stigma and discrimination were experienced from family, friends and healthcare providers. Self-stigma was found to be higher for those who were younger in several studies and associated with worse medication adherence. It was generally found to be higher in bipolar disorder participants than in those with anxiety disorders and lower than those with personality disorders. Limitations of the current research include the following: few studies have used a longitudinal design, few have assessed the impact of stigma on medication adherence and few have explored these issues in younger populations. More research is needed to explore the experiences of self-stigma for those in the younger age group specifically, given the relationship between younger age and greater self-stigma noted in several studies and the relationship between this and lower treatment adherence.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1060-1064"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39790786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This review aimed to measure the degree of placebo response in panic disorder.
Data sources: We searched major databases up to 31 January 2021, for randomized pharmacotherapy trials published in English.
Study selection: A total of 43 studies met inclusion criteria to be in the analysis (with 174 separate outcome measurements).
Data extraction: Changes in outcome measures from baseline in the placebo group were used to estimate modified Cohen's d effect size.
Results: A total of 43 trials (2392 subjects, 174 outcomes using 27 rating scales) were included in the meta-analysis. Overall placebo effect size was 0.57 (95% confidence interval = [0.50, 0.64]), heterogeneity (I2: 96.3%). Higher placebo effect size was observed among clinician-rated scales compared to patient reports (0.75 vs 0.35) and among general symptom and anxiety scales compared to panic symptoms and depression scales (0.92 and 0.64 vs 0.56 and 0.54, respectively). There was an upward trend in effect size over the publication period (r = 0.02, p = 0.002) that was only significant among clinician-rated scales (r = 0.02, p = 0.011). There was no significant publication bias, Egger's test (p = 0.08).
Conclusion: We observed a substantial placebo effect size in panic disorder. This effect was more prominent for some aspects of panic disorder psychopathology than for others and was correlated with the source of the assessment and publication year. This finding has implications both for research design, to address the heterogeneity and diversity in placebo responses, and for clinical practice to ensure optimal quality of care.
目的:本综述旨在测量惊恐障碍患者安慰剂反应的程度。数据来源:我们检索了截至2021年1月31日的主要数据库,以英文发表的随机药物治疗试验。研究选择:共有43项研究符合纳入标准(174项独立结果测量)。数据提取:使用安慰剂组的基线结果测量值的变化来估计修正的科恩效应大小。结果:荟萃分析共纳入43项试验(2392名受试者,174项结果,采用27种评定量表)。总体安慰剂效应大小为0.57(95%可信区间=[0.50,0.64]),异质性(I2: 96.3%)。与患者报告相比,在临床评定量表中观察到更高的安慰剂效应大小(0.75 vs 0.35),在一般症状和焦虑量表中观察到与恐慌症状和抑郁量表相比(分别为0.92和0.64 vs 0.56和0.54)。在整个出版期内,效应量呈上升趋势(r = 0.02, p = 0.002),仅在临床医生评定的量表中显著(r = 0.02, p = 0.011)。Egger检验没有显著的发表偏倚(p = 0.08)。结论:我们观察到在惊恐障碍中存在显著的安慰剂效应。这种效应在恐慌症精神病理学的某些方面比其他方面更为突出,并且与评估来源和出版年份相关。这一发现对研究设计,解决安慰剂反应的异质性和多样性,以及确保最佳护理质量的临床实践都有意义。系统综述注册号:PROSPERO, CRD42019125979。
{"title":"Systematic review and meta-analysis of the placebo effect in panic disorder: Implications for research and clinical practice.","authors":"Masoud Ahmadzad-Asl, Farnoush Davoudi, Safoura Mohamadi, Fatemeh Hadi, Seyed Aria Nejadghaderi, Seyed Hamidreza Mirbehbahani, Roxana Jabbarinejad, Sadaf Saneh, Mahdi Arshadi, Morteza Naserbakht, Mark Sinyor, Ali Kabir, Ahmadreza Shamshiri","doi":"10.1177/00048674211068793","DOIUrl":"https://doi.org/10.1177/00048674211068793","url":null,"abstract":"<p><strong>Objective: </strong>This review aimed to measure the degree of placebo response in panic disorder.</p><p><strong>Data sources: </strong>We searched major databases up to 31 January 2021, for randomized pharmacotherapy trials published in English.</p><p><strong>Study selection: </strong>A total of 43 studies met inclusion criteria to be in the analysis (with 174 separate outcome measurements).</p><p><strong>Data extraction: </strong>Changes in outcome measures from baseline in the placebo group were used to estimate modified Cohen's <i>d</i> effect size.</p><p><strong>Results: </strong>A total of 43 trials (2392 subjects, 174 outcomes using 27 rating scales) were included in the meta-analysis. Overall placebo effect size was 0.57 (95% confidence interval = [0.50, 0.64]), heterogeneity (<i>I</i><sup>2</sup>: 96.3%). Higher placebo effect size was observed among clinician-rated scales compared to patient reports (0.75 vs 0.35) and among general symptom and anxiety scales compared to panic symptoms and depression scales (0.92 and 0.64 vs 0.56 and 0.54, respectively). There was an upward trend in effect size over the publication period (<i>r</i> = 0.02, <i>p</i> = 0.002) that was only significant among clinician-rated scales (<i>r</i> = 0.02, <i>p</i> = 0.011). There was no significant publication bias, Egger's test (<i>p</i> = 0.08).</p><p><strong>Conclusion: </strong>We observed a substantial placebo effect size in panic disorder. This effect was more prominent for some aspects of panic disorder psychopathology than for others and was correlated with the source of the assessment and publication year. This finding has implications both for research design, to address the heterogeneity and diversity in placebo responses, and for clinical practice to ensure optimal quality of care.</p><p><strong>Systematic review registration number: </strong>PROSPERO, CRD42019125979.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1130-1141"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39795003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01Epub Date: 2021-12-08DOI: 10.1177/00048674211060746
Lucy L Gan, Susanna Gong, David W Kissane
Objective: Demoralisation is a state of poor coping characterised by low morale, hopelessness, subjective incompetence, and loss of meaning and purpose in life. While studied extensively in oncology and palliative care, there has been recent exploration in broader medical and mental health settings. The aim was to investigate the prevalence of demoralisation and associated sociodemographic and psychological factors across these clinical settings.
Method: Six electronic databases were used to locate articles from January 2014 to March 2020. A pre-publication update of non-oncology populations was completed in September 2021. The review has been reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Pooled prevalence of demoralisation was determined through % prevalence and mean demoralisation score; this was synthesised through meta-analysis of single means to determine pooled mean prevalence of Demoralisation Scale scores using the 'R' statistical software.
Results: Demoralisation has been examined in 52 studies (n = 11,670) and found to be prevalent in 24-35% of oncology and non-oncology, including mental health, populations. The mean score on the Demoralisation Scale was 24.3 (95% confidence interval, CI = [21.3, 27.3]). There was evidence of divergent validity in addition to significant comorbidity between depression, demoralisation and suicidal ideation. Burdensome physical symptoms, and psychological and demographic factors are strongly correlated with demoralisation.
Conclusion: There remains a need to recognise demoralisation in various clinical and cultural settings and to strongly consider its inclusion as a 'specifier' within formal nosological systems for adjustment and depressive disorders. This is important to initiate targeted interventions and prevent significant morbidity.
{"title":"Mental state of demoralisation across diverse clinical settings: A systematic review, meta-analysis and proposal for its use as a 'specifier' in mental illness.","authors":"Lucy L Gan, Susanna Gong, David W Kissane","doi":"10.1177/00048674211060746","DOIUrl":"https://doi.org/10.1177/00048674211060746","url":null,"abstract":"<p><strong>Objective: </strong>Demoralisation is a state of poor coping characterised by low morale, hopelessness, subjective incompetence, and loss of meaning and purpose in life. While studied extensively in oncology and palliative care, there has been recent exploration in broader medical and mental health settings. The aim was to investigate the prevalence of demoralisation and associated sociodemographic and psychological factors across these clinical settings.</p><p><strong>Method: </strong>Six electronic databases were used to locate articles from January 2014 to March 2020. A pre-publication update of non-oncology populations was completed in September 2021. The review has been reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Pooled prevalence of demoralisation was determined through % prevalence and mean demoralisation score; this was synthesised through meta-analysis of single means to determine pooled mean prevalence of Demoralisation Scale scores using the 'R' statistical software.</p><p><strong>Results: </strong>Demoralisation has been examined in 52 studies (<i>n</i> = 11,670) and found to be prevalent in 24-35% of oncology and non-oncology, including mental health, populations. The mean score on the Demoralisation Scale was 24.3 (95% confidence interval, CI = [21.3, 27.3]). There was evidence of divergent validity in addition to significant comorbidity between depression, demoralisation and suicidal ideation. Burdensome physical symptoms, and psychological and demographic factors are strongly correlated with demoralisation.</p><p><strong>Conclusion: </strong>There remains a need to recognise demoralisation in various clinical and cultural settings and to strongly consider its inclusion as a 'specifier' within formal nosological systems for adjustment and depressive disorders. This is important to initiate targeted interventions and prevent significant morbidity.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"1104-1129"},"PeriodicalIF":4.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39703293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01Epub Date: 2022-03-22DOI: 10.1177/00048674221087157
Yu-Chieh Chuang, Che-Yin Lin, Jiunn-Kae Wang
Delirium, a psychiatric emergency characterized by disturbances in attention, awareness and cognition, usually develops rapidly with a fluctuating course. As a serious condition, delirium is associated with prolonged hospitalization, increased morbidity and mortality. The management of delirium is often challenging. We present a delirium case with underlying bipolar disorder to remind clinicians of avoiding common treatment pitfalls. This report has obtained a signed release from the patient authorizing publication. A 62-year-old man was hospitalized because of remarkable grandiose delusions and violent behavior. Bipolar disorder, alcohol withdrawal delirium and mild cognitive impairment had been identified during his previous admission. After this admission, the lab data revealed unremarkable findings except mild macrocytic anemia and increased ethanol level. At first we used valproate acid, aripiprazole, lorazepam and estazolam for treatment. However, he suffered from sudden onset of disorientation with fluctuation of attention on day 3, with Clinical Institute Withdrawal Assessment for Alcohol (CIWA-Ar) scored 11 points and Delirium Rating Scale-Revised-98 (DRS-r-98) scored 27 points, indicating the condition of alcohol withdrawal delirium. His symptoms still deteriorated despite uptitration of benzodiazepines. He experienced drowsiness, fever and shallow breathing pattern on day 8 (DRS-r-98 scored 33). Aspiration pneumonia was impressed according to the physical examination and chest X-rays. Therefore, we discontinued valproate acid and benzodiazepines to avoid drowsiness and respiratory depression, and also prescribed empirical antibiotics for infection control. His physical condition had stabilized with ameliorated delirious symptoms since day 16 (DRS-r-98 scored 14). After reintroduction of valproate acid for manic symptoms, he was discharged on day 34 with stable mood. Although manic symptoms predominated as the initial presentation, concurrent or subsequent delirium should not be overlooked in our patient because of his vulnerability with several risk factors: elder age, male sex, mild cognitive impairment, laboratory abnormalities, alcohol abuse and history of delirium (Marcantonio, 2017). A comprehensive evaluation is strongly recommended because coexisting etiologies, such as alcohol withdrawal and infection, are not rare in delirium. Beware that interventions for delirium may also predispose one to delirium. In our case, benzodiazepines and antipsychotics used for delirium treatment were associated with adverse effects, including sedation and extrapyramidal symptoms, which might contribute to aspiration pneumonia and subsequently trigger and prolong delirium (Egberts et al., 2021). Thus, we recommend monitoring the treatment response by feasible scales, such as DRS-r-98 (Grover and Kate, 2012). Once the outcome is not favorable, prompt reassessment is crucial for timely management.
{"title":"Avoiding pitfalls in the treatment of delirium.","authors":"Yu-Chieh Chuang, Che-Yin Lin, Jiunn-Kae Wang","doi":"10.1177/00048674221087157","DOIUrl":"https://doi.org/10.1177/00048674221087157","url":null,"abstract":"Delirium, a psychiatric emergency characterized by disturbances in attention, awareness and cognition, usually develops rapidly with a fluctuating course. As a serious condition, delirium is associated with prolonged hospitalization, increased morbidity and mortality. The management of delirium is often challenging. We present a delirium case with underlying bipolar disorder to remind clinicians of avoiding common treatment pitfalls. This report has obtained a signed release from the patient authorizing publication. A 62-year-old man was hospitalized because of remarkable grandiose delusions and violent behavior. Bipolar disorder, alcohol withdrawal delirium and mild cognitive impairment had been identified during his previous admission. After this admission, the lab data revealed unremarkable findings except mild macrocytic anemia and increased ethanol level. At first we used valproate acid, aripiprazole, lorazepam and estazolam for treatment. However, he suffered from sudden onset of disorientation with fluctuation of attention on day 3, with Clinical Institute Withdrawal Assessment for Alcohol (CIWA-Ar) scored 11 points and Delirium Rating Scale-Revised-98 (DRS-r-98) scored 27 points, indicating the condition of alcohol withdrawal delirium. His symptoms still deteriorated despite uptitration of benzodiazepines. He experienced drowsiness, fever and shallow breathing pattern on day 8 (DRS-r-98 scored 33). Aspiration pneumonia was impressed according to the physical examination and chest X-rays. Therefore, we discontinued valproate acid and benzodiazepines to avoid drowsiness and respiratory depression, and also prescribed empirical antibiotics for infection control. His physical condition had stabilized with ameliorated delirious symptoms since day 16 (DRS-r-98 scored 14). After reintroduction of valproate acid for manic symptoms, he was discharged on day 34 with stable mood. Although manic symptoms predominated as the initial presentation, concurrent or subsequent delirium should not be overlooked in our patient because of his vulnerability with several risk factors: elder age, male sex, mild cognitive impairment, laboratory abnormalities, alcohol abuse and history of delirium (Marcantonio, 2017). A comprehensive evaluation is strongly recommended because coexisting etiologies, such as alcohol withdrawal and infection, are not rare in delirium. Beware that interventions for delirium may also predispose one to delirium. In our case, benzodiazepines and antipsychotics used for delirium treatment were associated with adverse effects, including sedation and extrapyramidal symptoms, which might contribute to aspiration pneumonia and subsequently trigger and prolong delirium (Egberts et al., 2021). Thus, we recommend monitoring the treatment response by feasible scales, such as DRS-r-98 (Grover and Kate, 2012). Once the outcome is not favorable, prompt reassessment is crucial for timely management.","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"864"},"PeriodicalIF":4.6,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40313651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01Epub Date: 2021-07-13DOI: 10.1177/00048674211025729
Kyung Hwa Lee, Ha Young Lee, Inkyung Park, Jeong Eun Jeon, Nambeom Kim, Seong Min Oh, Sehyun Jeon, Soohyun Kim, Yu Jin Lee, Seog Ju Kim
Objectives: Evidence suggests that emotion regulation difficulty may play an important role in the association between life stress, sleep disturbance and depressive symptoms. We proposed two models depicting the possible moderating roles of prefrontal cortex activation during emotion regulation in the associations among these variables and tested them. We hypothesized that (1) the association between stress and sleep disturbance would differ across prefrontal cortex activation during emotion regulation (moderation model) and (2) the indirect effects of stress on depressive symptoms through sleep disturbance would depend on prefrontal cortex activation during emotion regulation (moderated mediation model).
Methods: Forty-eight healthy adults without sleep disorders based on nocturnal polysomnography participated in this study. They received functional magnetic resonance imaging scans while performing an emotion regulation task. They also completed questionnaires assessing life stress, sleep disturbance and depressive symptoms. The proposed models were tested using the PROCESS macro for SPSS.
Results: As hypothesized, there was a significant moderating effect of prefrontal cortex activation during emotion regulation on the association between life stress and sleep disturbance. Furthermore, right lateral prefrontal cortex activation had a moderating role in the indirect effect of life stress on depressive symptoms through sleep disturbance.
Conclusion: These findings highlight the important role of prefrontal cortex function during emotion regulation in the associations between stress, sleep disturbance and depressive symptoms. Increasing lateral prefrontal cortex recruitment when regulating the emotional response to negative life events may be critical for the prevention and intervention of depression as well as sleep problems.
{"title":"Life stress, sleep disturbance and depressive symptoms: The moderating role of prefrontal activation during emotion regulation.","authors":"Kyung Hwa Lee, Ha Young Lee, Inkyung Park, Jeong Eun Jeon, Nambeom Kim, Seong Min Oh, Sehyun Jeon, Soohyun Kim, Yu Jin Lee, Seog Ju Kim","doi":"10.1177/00048674211025729","DOIUrl":"https://doi.org/10.1177/00048674211025729","url":null,"abstract":"<p><strong>Objectives: </strong>Evidence suggests that emotion regulation difficulty may play an important role in the association between life stress, sleep disturbance and depressive symptoms. We proposed two models depicting the possible moderating roles of prefrontal cortex activation during emotion regulation in the associations among these variables and tested them. We hypothesized that (1) the association between stress and sleep disturbance would differ across prefrontal cortex activation during emotion regulation (moderation model) and (2) the indirect effects of stress on depressive symptoms through sleep disturbance would depend on prefrontal cortex activation during emotion regulation (moderated mediation model).</p><p><strong>Methods: </strong>Forty-eight healthy adults without sleep disorders based on nocturnal polysomnography participated in this study. They received functional magnetic resonance imaging scans while performing an emotion regulation task. They also completed questionnaires assessing life stress, sleep disturbance and depressive symptoms. The proposed models were tested using the PROCESS macro for SPSS.</p><p><strong>Results: </strong>As hypothesized, there was a significant moderating effect of prefrontal cortex activation during emotion regulation on the association between life stress and sleep disturbance. Furthermore, right lateral prefrontal cortex activation had a moderating role in the indirect effect of life stress on depressive symptoms through sleep disturbance.</p><p><strong>Conclusion: </strong>These findings highlight the important role of prefrontal cortex function during emotion regulation in the associations between stress, sleep disturbance and depressive symptoms. Increasing lateral prefrontal cortex recruitment when regulating the emotional response to negative life events may be critical for the prevention and intervention of depression as well as sleep problems.</p>","PeriodicalId":117457,"journal":{"name":"The Australian and New Zealand journal of psychiatry","volume":" ","pages":"709-720"},"PeriodicalIF":4.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00048674211025729","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39180100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}