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Background: Substance use in pregnancy raises concern given its potential teratogenic effects. Given the unique needs of parenting people and the potential impact for developing children, specialized substance use treatment programs are increasingly being implemented for this population. Substance use treatment is associated with more positive neonatal outcomes compared with no treatment, however treatment models vary limiting our understanding of key treatment components/modelsFew studies have explored the influence of treatment model type (i.e., integrated treatments designed for pregnant clients compared with standard treatment models) and no studies have examined the influence of treatment model on neonatal outcomes using Canadian data. Method: We conducted a population‐based cohort study of clients who were pregnant when initiating integrated (n = 564) and standard (n = 320) substance use treatment programs in Ontario, Canada. Results: Neonatal outcomes did not significantly differ by treatment type (integrated or standard), with rates of adverse neonatal outcomes higher than published rates for the general population, despite receipt of adequate levels of prenatal care. While this suggests no significant impact of treatment, it is notable that as a group, clients engaged in integrated treatment presented with more risk factors for adverse neonatal outcomes than those in standard treatment. While we controlled for these risks in our analyses, this may have obscured their influence in relation to treatment type. Conclusion: Findings underscore the need for more nuanced research that considers the influence of client factors in interaction with treatment type. Pregnant clients engaged in any form of substance use treatment are at higher risk of having children who experience adverse neonatal outcomes. This underscores the urgent need for further investment in services and research to support maternal and neonatal health before and during pregnancy, as well as long‐term service models that support women and children beyond the perinatal and early childhood periods. [ABSTRACT FROM AUTHOR]

Background: As life expectancy increases, more people have chronic psychiatric and medical health disorders. Comorbidity may increase the risk of premature mortality, an important challenge for health service delivery. Methods: Population-based cohort study in Ontario, Canada of all 11 246 910 residents aged ⩾16 and <105 on 1 April 2012 and alive on 31 March 2014. Secondary analyses included subjects having common medical disorders in 10 separate cohorts. Exposures were psychiatric morbidity categories identified using aggregated diagnosis groups (ADGs) from Johns Hopkins Adjusted Clinical Groups software® (v10.0); ADG 25: Persistent/Recurrent unstable conditions; e.g. acute schizophrenic episode, major depressive disorder (recurrent episode), ADG 24: Persistent/Recurrent stable conditions; e.g. depressive disorder, paranoid personality disorder, ADG 23: Time-limited/minor conditions; e.g. adjustment reaction with brief depressive reaction. The outcome was all-cause mortality (April 2014–March 2016). Results: Over 2 years' follow-up, there were 188 014 deaths (1.7%). ADG 25 conferred an almost threefold excess mortality after adjustment compared to having no psychiatric morbidity [adjusted hazard ratio 2.94 (95% CI 2.91–2.98, p < 0.0001)]. Adjusted hazard ratios for ADG 24 and ADG 23 were 1.12 (95% CI 1.11–1.14, p < 0.0001) and 1.31 (95% CI 1.26–1.36, p < 0.0001). In all 10 medical disorder cohorts, ADG 25 carried significantly greater mortality risk compared to no psychiatric comorbidity. Conclusions: Psychiatric disorders, particularly those graded persistent/recurrent and unstable, were associated with excess mortality in the whole population, and in the medical disorder cohorts examined. Future research should examine whether service design accounting for psychiatric disorder comorbidity improves outcomes across the spectrum of medical disorders. [ABSTRACT FROM AUTHOR]