Non-Indigenous privilege in health, justice and social services preceding first episode psychosis: A population-based cohort study.

BACKGROUND: There is evidence of disparities between non-Indigenous and Indigenous incidence of psychotic disorders. Despite these disparities being a clear signpost of the impact of structural racism, there remains a lack of evidence to target institutional factors. We aimed to investigate non-Indigenous and Indigenous differences in government service use prior to first episode diagnosis as a means of identifying points of intervention to improve institutional responses. METHODS: We used a previously established national New Zealand cohort of 2385 13 to 25-year-old youth diagnosed with psychosis between 2009 and 2012 and a linked database of individual-level multiple government agency administration data, to investigate the differences in health, education, employment, child protection and criminal-justice service use between non-Indigenous (60%) and Indigenous youth (40%) in the year preceding first episode diagnosis. Further comparisons were made with the general population. RESULTS: A high rate of health service contact did not differ between non-Indigenous and Indigenous youth (adjusted rate ratio 1.0, 95% confidence interval [0.9, 1.1]). Non-Indigenous youth had higher rates of educational enrolment (adjusted rate ratio 1.2, 95% confidence interval [1.1, 1.3]) and employment (adjusted rate ratio 1.2, 95% confidence interval [1.1, 1.3]) and were 40% less likely to have contact with child protection services (adjusted rate ratio 0.6, 95% confidence interval [0.5, 0.8]) and the criminal-justice system (adjusted rate ratio 0.6, 95% confidence interval [0.5, 0.7]). Both first episode cohorts had a higher risk of criminal justice contact compared to the general population, but the difference was greater for non-Indigenous youth (risk ratio 3.0, 95% confidence interval [2.7, 3.4] vs risk ratio 2.0, 95% confidence interval [1.8, 2.2]), explained by the lower background risk. INTERPRETATION: The results indicate non-Indigenous privilege in multiple sectors prior to first episode diagnosis. Indigenous-based social disparities prior to first episode psychosis are likely to cause further inequities in recovery and will require a response of health, education, employment, justice and political systems.

Racism, early psychosis and institutional contact: a qualitative study of Indigenous experiences.

There is evidence of Indigenous and ethnic minority inequities in the incidence and outcomes of early psychosis. racism has an important role. This study aimed to use Indigenous experiences to develop a more detailed understanding of how racism operates to impact early psychosis. Critical Race Theory informed the methods used. Twenty-three Indigenous participants participated in 4 family focus group interviews and 13 individual interviews, comprising of 9 youth, 10 family members and 4 mental health professionals. An analysis of the data was undertaken using deductive structural coding to identify descriptions of racism, followed by inductive descriptive and pattern coding. Participant experiences revealed how racism operates as a socio-cultural phenomenon that interacts with institutional policy and culture across systems. This is described across three themes: (1) selective responses based on racial stereotypes, (2) race related risk assessment bias and (3) institutional racism in the mental health workforce. The impacts of racism were reported as inaction in the face of social need, increased coercion and an under resourced Indigenous workforce. These findings indicate that organizational cultures may differentially impact Indigenous and minority people and that social responsiveness, risk discourse and the distribution of workforce expenditure are important targets for anti-racism efforts.

Potential Country-level Health and Cost Impacts of Legalizing Domestic Sale of Vaporized Nicotine Products.

BACKGROUND: The net impact on population health and health system costs of vaporized nicotine products is uncertain. We modeled, with uncertainty, the health and cost impacts of liberalizing the vaporized nicotine market for a high-income country, New Zealand (NZ). METHODS: We used a multistate life-table model of 16 tobacco-related diseases to simulate lifetime quality-adjusted life-years (QALYs) and health system costs at a 0% discount rate. We incorporated transitions from never, former, and current smoker states to, and from, regularly using vaporized nicotine and literature estimates for relative risk of disease incidence for vaping compared with smoking. RESULTS: Compared with continuation of baseline trends in smoking uptake and cessation rates and negligible vaporized nicotine use, we projected liberalizing the market for these products to gain 236,000 QALYs (95% uncertainty interval [UI] = 27,000 to 457,000) and save NZ$3.4 billion (2011 NZ$) (95% UI = NZ$370 million to NZ$7.1 billion) or US$2.5 billion (2017 NZ$). However, estimates of net health gains for 0- to 14-year olds and 65+ year olds had 95% UIs including the null. Uncertainty around QALYs gained was mainly driven by uncertainty around the impact of vaporized nicotine products on population-wide cessation rates and the relative health risk of vaping compared with smoking. CONCLUSIONS: This modeling suggested that a fairly permissive regulatory environment around vaporized nicotine products achieves net health gain and cost savings, albeit with wide uncertainty. Our results suggest that optimal strategies will also be influenced by targeted smoking cessation advice, regulations around chemical constituents of these products, and marketing and age limits to prevent youth uptake of vaping.

Restricting tobacco sales to only pharmacies combined with cessation advice: a modelling study of the future smoking prevalence, health and cost impacts.

OBJECTIVE: Restricting tobacco sales to pharmacies only, including the provision of cessation advice, has been suggested as a potential measure to hasten progress towards the tobacco endgame. We aimed to quantify the impacts of this hypothetical intervention package on future smoking prevalence, population health and health system costs for a country with an endgame goal: New Zealand (NZ). METHODS: We used two peer-reviewed simulation models: 1) a dynamic population forecasting model for smoking prevalence and 2) a closed cohort multi-state life-table model for future health gains and costs by sex, age and ethnicity. Greater costs due to increased travel distances to purchase tobacco were treated as an increase in the price of tobacco. Annual cessation rates were multiplied with the effect size for brief opportunistic cessation advice on sustained smoking abstinence. RESULTS: The intervention package was associated with a reduction in future smoking prevalence, such that by 2025 prevalence was 17.3%/6.8% for Maori (Indigenous)/non-Maori compared to 20.5%/8.1% projected under no intervention. The measure was furthermore estimated to accrue 41 700 discounted quality-adjusted life-years (QALYs) (95% uncertainty interval (UI): 33 500 to 51 600) over the remainder of the 2011 NZ population's lives. Of these QALYs gained, 74% were due to the provision of cessation advice over and above the limiting of sales to pharmacies. CONCLUSIONS: This work provides modelling-level evidence that the package of restricting tobacco sales to only pharmacies combined with cessation advice in these settings can accelerate progress towards the tobacco endgame, and achieve large population health benefits and cost-savings. :.

Impact of five tobacco endgame strategies on future smoking prevalence, population health and health system costs: two modelling studies to inform the tobacco endgame.

OBJECTIVE: There is growing international interest in advancing 'the tobacco endgame'. We use New Zealand (Smokefree goal for 2025) as a case study to model the impacts on smoking prevalence (SP), health gains (quality-adjusted life-years (QALYs)) and cost savings of (1) 10% annual tobacco tax increases, (2) a tobacco-free generation (TFG), (3) a substantial outlet reduction strategy, (4) a sinking lid on tobacco supply and (5) a combination of 1, 2 and 3. METHODS: Two models were used: (1) a dynamic population forecasting model for SP and (2) a closed cohort (population alive in 2011) multistate life table model (including 16 tobacco-related diseases) for health gains and costs. RESULTS: All selected tobacco endgame strategies were associated with reductions in SP by 2025, down from 34.7%/14.1% for Maori (indigenous population)/non-Maori in 2011 to 16.0%/6.8% for tax increases; 11.2%/5.6% for the TFG; 17.8%/7.3% for the outlet reduction; 0% for the sinking lid; and 9.3%/4.8% for the combined strategy. Major health gains accrued over the remainder of the 2011 population's lives ranging from 28 900 QALYs (95% Uncertainty Interval (UI)): 16 500 to 48 200; outlet reduction) to 282 000 QALYs (95%UI: 189 000 to 405 000; sinking lid) compared with business-as-usual (3% discounting). The timing of health gain and cost savings greatly differed for the various strategies (with accumulated health gain peaking in 2040 for the sinking lid and 2070 for the TFG). CONCLUSIONS: Implementing endgame strategies is needed to achieve tobacco endgame targets and reduce inequalities in smoking. Given such strategies are new, modelling studies provide provisional information on what approaches may be best.

Impact of increasing tobacco taxes on working-age adults: short-term health gain, health equity and cost savings.

OBJECTIVE: The health gains and cost savings from tobacco tax increase peak many decades into the future. Policy-makers may take a shorter-term perspective and be particularly interested in the health of working-age adults (given their role in economic productivity). Therefore, we estimated the impact of tobacco taxes in this population within a 10-year horizon. METHODS: As per previous modelling work, we used a multistate life table model with 16 tobacco-related diseases in parallel, parameterised with rich national data by sex, age and ethnicity. The intervention modelled was 10% annual increases in tobacco tax from 2011 to 2020 in the New Zealand population (n=4.4 million in 2011). The perspective was that of the health system, and the discount rate used was 3%. RESULTS: For this 10-year time horizon, the total health gain from the tobacco tax in discounted quality-adjusted life years (QALYs) in the 20-65 year age group (age at QALY accrual) was 180 QALYs or 1.6% of the lifetime QALYs gained in this age group (11 300 QALYs). Nevertheless, for this short time horizon: (1) cost savings in this group amounted to NZ$10.6 million (equivalent to US$7.1 million; 95% uncertainty interval: NZ$6.0 million to NZ$17.7 million); and (2) around two-thirds of the QALY gains for all ages occurred in the 20-65 year age group. Focusing on just the preretirement and postretirement ages, the QALY gains in each of the 60-64 and 65-69 year olds were 11.5% and 10.6%, respectively, of the 268 total QALYs gained for all age groups in 2011-2020. CONCLUSIONS: The majority of the health benefit over a 10-year horizon from increasing tobacco taxes is accrued in the working-age population (20-65 years). There remains a need for more work on the associated productivity benefits of such health gains.

Correction: Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand.

[This corrects the article DOI: 10.1371/journal.pmed.1001856.].

Tobacco retail outlet restrictions: health and cost impacts from multistate life-table modelling in a national population.

BACKGROUND: Since there is some evidence that the density and distribution of tobacco retail outlets may influence smoking behaviours, we aimed to estimate the impacts of 4 tobacco outlet reduction interventions in a country with a smoke-free goal: New Zealand (NZ). METHODS: A multistate life-table model of 16 tobacco-related diseases, using national data by sex, age and ethnicity, was used to estimate quality-adjusted life years (QALYs) gained and net costs over the remainder of the 2011 NZ population's lifetime. The outlet reduction interventions assumed that increased travel costs can be operationalised as equivalent to price increases in tobacco. RESULTS: All 4 modelled interventions led to reductions of >89% of current tobacco outlets after the 10-year phase-in process. The most effective intervention limited sales to half of liquor stores (and nowhere else) at 129 000 QALYs gained over the lifetime of the population (95% UI: 74 100 to 212 000, undiscounted). The per capita QALY gains were up to 5 times greater for Maori (indigenous population) compared to non-Maori. All interventions were cost-saving to the health system, with the largest saving for the liquor store only intervention: US$1.23 billion (95% UI: $0.70 to $2.00 billion, undiscounted). CONCLUSIONS: These tobacco outlet reductions reduced smoking prevalence, achieved health gains and saved health system costs. Effects would be larger if outlet reductions have additional spill-over effects (eg, smoking denormalisation). While these interventions were not as effective as tobacco tax increases (using the same model), these and other strategies could be combined to maximise health gain and to maximise cost-savings to the health system.

Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand.

BACKGROUND: Countries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 ["business as usual," BAU]), in a country (New Zealand) with large ethnic inequalities in smoking-related and noncommunicable disease (NCD) burden. METHODS AND FINDINGS: We modeled 16 tobacco-related diseases in parallel, using rich national data by sex, age, and ethnicity, to estimate undiscounted quality-adjusted life-years (QALYs) gained and net health system costs over the remaining life of the 2011 population (n = 4.4 million). A total of 260,000 (95% uncertainty interval [UI]: 155,000-419,000) QALYs were gained among the 2011 cohort exposed to annual tobacco tax increases, compared to BAU, and cost savings were US$2,550 million (95% UI: US$1,480 to US$4,000). QALY gains and cost savings took 50 y to peak, owing to such factors as the price sensitivity of youth and young adult smokers. The QALY gains per capita were 3.7 times greater for Maori (indigenous population) compared to non-Maori because of higher background smoking prevalence and price sensitivity in Maori. Health inequalities measured by differences in 45+ y-old standardized mortality rates between Maori and non-Maori were projected to be 2.31% (95% UI: 1.49% to 3.41%) less in 2041 with ongoing tax rises, compared to BAU. Percentage reductions in inequalities in 2041 were maximal for 45-64-y-old women (3.01%). As with all such modeling, there were limitations pertaining to the model structure and input parameters. CONCLUSIONS: Ongoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD burden and health inequalities, they will also need to complement tobacco tax increases with additional tobacco control interventions focused on cessation.

Theoretical impacts of a range of major tobacco retail outlet reduction interventions: modelling results in a country with a smoke-free nation goal.

OBJECTIVE: To inform endgame strategies in tobacco control, this study aimed to estimate the impact of interventions that markedly reduced availability of tobacco retail outlets. The setting was New Zealand, a developed nation where the government has a smoke-free nation goal in 2025. METHODS: Various legally mandated reductions in outlets that were phased in over 10 years were modelled. Geographic analyses using the road network were used to estimate the distance and time travelled from centres of small areas to the reduced number of tobacco outlets, and from there to calculate increased travel costs for each intervention. Age-specific price elasticities of demand were used to estimate future smoking prevalence. RESULTS: With a law that required a 95% reduction in outlets, the cost of a pack of 20 cigarettes (including travel costs) increased by 20% in rural areas and 10% elsewhere and yielded a smoking prevalence of 9.6% by 2025 (compared with 9.9% with no intervention). The intervention that permitted tobacco sales at only 50% of liquor stores resulted in the largest cost increase (∼$60/pack in rural areas) and the lowest prevalence (9.1%) by 2025. Elimination of outlets within 2 km of schools produced a smoking prevalence of 9.3%. CONCLUSIONS: This modelling merges geographic, economic and epidemiological methodologies in a novel way, but the results should be interpreted cautiously and further research is desirable. Nevertheless, the results still suggest that tobacco outlet reduction interventions could modestly contribute to an endgame goal.

Smoking uptake is associated with increased psychological distress: results of a national longitudinal study.

BACKGROUND: There is evidence that smoking is associated with poorer mental health. However, the underlying mechanisms for this remain unclear. We used longitudinal data to assess whether smoking uptake, or failed quit attempts, are associated with increased psychological distress. METHODS: Data were used from Waves 3 (2004/05), 5 (2006/07) and 7 (2008/09) of the longitudinal New Zealand Survey of Family, Income and Employment. Fixed-effects linear regression analyses were performed to model the impact of changes in smoking status and quit status (exposure variables) on changes in psychological distress (Kessler 10 (K10)). RESULTS: After adjusting for time-varying demographic and socioeconomic covariates, smoking uptake was associated with an increase in psychological distress (K10: 0.22, 95% CI 0.01 to 0.43). The associations around quitting and distress were in the expected directions, but were not statistically significant. That is, smokers who successfully quit between waves had no meaningful change in psychological distress (K10: -0.05, 95% CI -0.34 to 0.23), whereas those who tried but failed to quit, experienced an increase in psychological distress (K10: 0.18, 95% CI -0.05 to 0.40). CONCLUSIONS: The findings provide some support for a modest association between smoking uptake and a subsequent increase in psychological distress, but more research is needed before such information is considered for inclusion in public health messages.

Do changes in income, deprivation, labour force status and family status influence smoking behaviour over the short run? Panel study of 15,000 adults.

BACKGROUND: Improving social circumstances (e.g., an increase in income, finding a job or moving into a good neighbourhood) may reduce tobacco use, but robust evidence on the effects of such improvements is scarce. Accordingly we investigated the link between changing social circumstances and changing tobacco smoking using repeated measures data. METHODS: 15 000 adults with at least two observations over three waves (each 2 years apart) of a panel study had data on smoking status, family, labour force, income and deprivation (both neighbourhood and individual). Fixed effects regression modelling was used. FINDINGS: The odds of smoking increased 1.42-fold (95% CI 1.16 to 1.74) for a one log-unit increase in personal income among 15-24-year-olds, but there was no association of increased smoking with an increase in income among 25+ year olds. Moving out of a family nucleus, increasing neighbourhood deprivation (e.g., 1.83-fold (95% CI 1.18 to 2.83) increased odds of smoking for moving from least to most deprived quintile of neighbourhoods), increasing personal deprivation and moving into employment were all associated with increased odds of smoking. The number of cigarettes smoked a day changed little with changing social circumstances. INTERPRETATION: Worsening social circumstances over the short run are generally associated with higher smoking risk. However, there were counter examples: for instance, decreasing personal income among young people was associated with decreased odds of smoking, a finding consistent with income elasticity of demand (the less one's income, the less one can consume). This paper suggests that improving social circumstances is not always pro-health over the short run; a more nuanced approach to the social determinants of health is required.

Do changes in social and economic factors lead to changes in drinking behavior in young adults? Findings from three waves of a population based panel study.

BACKGROUND: Social and economic measures in early childhood or adolescence appear to be associated with drinking behavior in young adulthood. Yet, there has been little investigation to what extent drinking behavior of young adults changes within young adulthood when they experience changes in social and economic measures in this significant period of their life. METHODS: The impact of changes in living arrangement, education/employment, income, and deprivation on changes in average weekly alcohol units of consumption and frequency of hazardous drinking sessions per month in young adults was investigated. In total, 1,260 respondents of the New Zealand longitudinal Survey of Family, Income and Employment (SoFIE) aged 18-24 years at baseline were included. RESULTS: Young adults who moved from a family household into a single household experienced an increase of 2.32 (95% CI 1.02 to 3.63) standard drinks per week, whereas those young adults who became parents experienced a reduction in both average weekly units of alcohol (ß = -3.84, 95% CI -5.44 to -2.23) and in the frequency of hazardous drinking sessions per month (ß = -1.17, 95% CI -1.76 to -0.57). A one unit increase in individual deprivation in young adulthood was associated with a 0.48 (95% CI 0.10 to 0.86) unit increase in average alcohol consumption and a modest increase in the frequency of hazardous drinking sessions (ß = 0.25, 95% CI 0.11 to 0.39). CONCLUSIONS: This analysis suggests that changes in living arrangement and individual deprivation are associated with changes in young adult's drinking behaviors. Alcohol harm-minimization interventions therefore need to take into account the social and economic context of young people's lives to be effective.

Health service utilisation by quota, family-sponsored and convention refugees in their first five years in New Zealand.

OBJECTIVE: This study examines and compares health service utilisation patterns between New Zealand's (NZ) three main refugee groups and the general NZ population. METHODS: We used Statistics NZ's Integrated Data Infrastructure to identify quota, family-sponsored and convention refugees arriving in NZ (2007-2013). We analysed contact with primary care, emergency department (ED), and specialist mental health services for the first five years in NZ. Logistic regression models, adjusted for age, sex and deprivation, compared health service use between refugee groups and the general NZ population in years 1 and 5. RESULTS: Quota refugees were more likely to be enrolled and in contact with primary care and specialist mental health services in year 1 than family-sponsored and convention refugees, but differences reduced over time. All refugee groups were more likely than the general NZ population to have presented to ED in year 1. CONCLUSIONS: Quota refugees were better connected with health services in year 1 than the other two refugee groups. The types of frontline health services accessed by refugee groups differed from the general NZ population. IMPLICATIONS FOR PUBLIC HEALTH: There should be systematic and equal support across all NZ regions to help refugees (regardless of visa type) navigate the NZ health system.

Evolution of first episode psychosis diagnoses and health service use among young Maori and non-Maori-A New Zealand national cohort study.

AIMS: The validity of diagnostic classification in early psychosis has important implications for early intervention; however, it is unknown if previously found disparities between Maori (Indigenous people of New Zealand) and non-Maori in first episode diagnoses persist over time, or how these differences impact service use. METHODS: We used anonymized routine mental health service data and a previously established cohort of over 2400 13-25-year-old youth diagnosed with FEP between 2009 and 2012, to explore differences in diagnostic stability of psychosis diagnoses, comorbid (non-psychosis) diagnoses, and mental health service contacts between Maori and non-Maori in the five-year period following diagnosis. RESULTS: Differences in schizophrenia and affective psychosis diagnoses between Maori and non-Maori were maintained in the five-year period, with Maori being more likely to be diagnosed with schizophrenia (51% vs. 35%), and non-Maori with bipolar disorder (28% vs. 18%). Stability of diagnosis was similar (schizophrenia 75% Maori vs. 67% non-Maori; bipolar disorder 55% Maori vs. 48% non-Maori) and those with no stable diagnosis at FEP were most likely to move towards a schizophrenia disorder diagnosis in both groups. Maori had a lower rate of diagnosed co-morbid affective and anxiety symptoms and higher rates of continued face to face contact and inpatient admission across all diagnoses. CONCLUSIONS: Indigenous differences in schizophrenia and affective psychosis diagnoses could be related to differential exposure to socio-environmental risk or assessor bias. The lower rate of co-morbid affective and anxiety disorders indicates a potential under-appreciation of affective symptoms in Maori youth with first episode psychosis.

Racism, early psychosis, and institutional contact: A qualitative study of Indigenous experiences.

BACKGROUND: There is evidence of Indigenous and ethnic minority inequities in the incidence and outcomes of early psychosis. Racism has been implicated as having an important role. AIM: To use Indigenous experiences to develop a more detailed understanding of how racism operates to impact early psychosis outcomes. METHODS: Critical Race Theory informed the methodology used. Twenty-three Indigenous participants participated in four family focus group interviews and thirteen individual interviews, comprising of 9 Maori youth with early psychosis, 10 family members and 4 Maori mental health professionals. An analysis of the data was undertaken using deductive structural coding to identify descriptions of racism, followed by inductive descriptive and pattern coding. RESULTS: Participant experiences revealed how racism operates as a socio-cultural phenomenon that interacts with institutional policy and culture across systems pertaining to social responsiveness, risk discourse, and mental health service structures. This is described across three major themes: 1) selective responses based on racial stereotypes, 2) race related risk assessment bias and 3) institutional racism in the mental health workforce. The impacts of racism were reported as inaction in the face of social need, increased use of coercive practices and an under resourced Indigenous mental health workforce. CONCLUSION: The study illustrated the inter-related nature of interpersonal, institutional and structural racism with examples of interpersonal racism in the form of negative stereotypes interacting with organizational, socio-cultural and political priorities. These findings indicate that organizational cultures may differentially impact Indigenous and minority people and that social responsiveness, risk discourse and the distribution of workforce expenditure are important targets for anti-racism efforts.

The association between failed quit attempts and increased levels of psychological distress in smokers in a large New Zealand cohort.

BACKGROUND: Although the association between smoking status and poorer mental health has been well documented, the association between quit status and psychological distress is less clear. The aim of the present study is to investigate the association of smoking status and quit status with psychological distress. METHODS: Data for this study is from a single year of the Survey of Families, Income and Employment (SoFIE) conducted in New Zealand (2004/05) (n = 18,525 respondents). Smoking status and quit status were treated as exposure variables, and psychological distress (Kessler-10) was treated as the outcome variable. Logistic regression analyses were performed to determine the association of smoking with psychological distress in the whole adult population and quit status with psychological distress in the ex- and current-smoking population. RESULTS: Current smokers had higher rates of high and very high psychological distress compared to never smokers (adjusted odds ratio (aOR) = 1.45; 95% CI: 1.24-1.69). Unsuccessful quitters had much higher levels of high to very high levels of psychological distress (16%) than any other group. Moreover, compared to long-term ex-smokers, unsuccessful quitters had a much higher odds of high to very high levels of psychological distress (aOR = 1.73; 95% CI: 1.36-2.21). CONCLUSION: These findings suggest that the significant association between smoking and psychological distress might be partly explained by increased levels of psychological distress among current smokers who made a quit attempt in the last year. This issue needs further study as it has implications for optimising the design of quitting support.

Exploring indigenous ethnic inequities in first episode psychosis in New Zealand - A national cohort study.

INTRODUCTION: First episode psychosis (FEP) disproportionately affects rangatahi (young) Maori, the Indigenous people of New Zealand, but little is known about factors contributing to this inequity. This study describes a cohort of rangatahi Maori and young non-Maori with FEP, and explores ethnic differences in incidence rates, and the contribution of deprivation, urbanicity and substance use. METHODS: Maori and young non-Maori, aged 13-25 at the time of the first recorded psychosis-related diagnoses, were identified from within Statistics NZ's Integrated Data Infrastructure (IDI), between 2009 and 2012. To estimate age-standardised FEP incidence rates, the population-at-risk was estimated using IDI-based usual resident population estimates for 2009-2012, stratified by ethnicity and single year of age. Poisson regression models were used to estimate ethnic differences in FEP incidence adjusted for age, gender, deprivation, and urban-rural area classification. RESULTS: A total of 2412 young people with FEP (40% Maori, 60% non-Maori) were identified. Maori were younger, and more likely to live in deprived and rural communities and be diagnosed with schizophrenia. Substance induced psychosis was uncommon. The unadjusted age-standardised FEP incidence rate ratio was 2.48 (95% CI: 2.29-2.69) for rangatahi Maori compared with young non-Maori. While adjusting for age, sex, deprivation and urban rural area classification reduced ethnic differences in incidence, rangatahi Maori were still more than twice as likely to have been diagnosed with FEP compared to young non-Maori. CONCLUSIONS: This study confirms previous findings of elevated rates of psychosis among rangatahi Maori. The difference in rates between Maori and non-Maori were attenuated but remained after adjustment for deprivation and urbanicity.