Predictors of severe relapse in pregnant women with psychotic or bipolar disorders

Pregnancy in women with severe mental illness is associated with adverse outcomes for mother and infant. There are limited data on prevalence and predictors of relapse in pregnancy. A historical cohort study using anonymised comprehensive electronic health records from secondary mental health care linked with national maternity data was carried out. Women with a history of serious mental illness who were pregnant (2007–2011), and in remission at the start of pregnancy, were studied; severe relapse was defined as admission to acute care or self-harm. Predictors of relapse were analysed using random effects logistic regression to account for repeated measures in women with more than one pregnancy in the study period. In 454 pregnancies (389 women) there were 58 (24%) relapses in women with non-affective psychoses and 25 (12%) in women with affective psychotic or bipolar disorders. Independent predictors of relapse included non-affective psychosis (adjusted OR = 2.03; 95% CI = 1.16–3.54), number of recent admissions (1.37; 1.03–1.84), recent self-harm (2.24; 1.15–4.34), substance use (2.15; 1.13–4.08), smoking (2.52; 1.26–5.02) and non-white ethnicity (black ethnicity: 2.37; 1.23,4.57, mixed/other ethnicity: 2.94; 1.32,6.56). Women on no regular medication throughout first trimester were also at greater risk of relapse in pregnancy (1.99; 1.05–3.75). There was no interaction between severity of illness and medication status as relapse predictors. Therefore, women with non-affective psychosis and higher number of recent acute admissions are at significant risk of severe relapse in pregnancy. Continuation of medication in women with severe mental illness who become pregnant may be protective

Sex differences among children, adolescents and young adults for mental health service use within inpatient and outpatient settings, before and during the COVID-19 pandemic: a population-based study in Ontario, Canada

Objectives The pandemic and public health response to contain the virus had impacts on many aspects of young people’s lives including disruptions to daily routines, opportunities for social, academic, recreational engagement and early employment. Consequently, children, adolescents and young adults may have experienced mental health challenges that required use of mental health services. This study compared rates of use for inpatient and outpatient mental health services during the pandemic to pre-pandemic rates. Design Population-based repeated cross-sectional study. Setting Publicly delivered mental healthcare in primary and secondary settings within the province of Ontario, Canada. Participants All children 6–12 years of age (n=2 043 977), adolescents 13–17 years (n=1 708 754) and young adults 18–24 years (n=2 286 544), living in Ontario and eligible for provincial health insurance between March 2016 and November 2021. Primary outcome measures Outpatient mental health visits to family physicians and psychiatrists for: mood and anxiety disorders, alcohol and substance abuse disorders, other non-psychotic mental health disorders and social problems. Inpatient mental health visits to emergency departments and hospitalisations for: substance-related and addictive disorders, anxiety disorders, assault-related injuries, deliberate self-harm and eating disorders. All outcomes were analysed by cohort and sex. Results During the pandemic, observed outpatient visit rates were higher among young adults by 19.01% (95% CI: 15.56% to 22.37%; 209 vs 175 per 1000) and adolescent women 24.17% (95% CI: 18.93% to 29.15%; 131 vs 105 per 1000) for mood and anxiety disorders and remained higher than expected. Female adolescents had higher than expected usage of inpatient care for deliberate self-harm, eating disorders and assault-related injuries. Conclusions Study results raise concerns over prolonged high rates of mental health use during the pandemic, particularly in female adolescents and young women, and highlights the need to better monitor and identify mental health outcomes associated with COVID-19 containment measures and to develop policies to address these concerns

Fluvoxamine for outpatient management of COVID-19 to prevent hospitalization: A systematic review and meta-analysis

Importance: Widely available and affordable options for the outpatient management of COVID-19 are needed, particularly for therapies that prevent hospitalization. Objective: To perform a meta-analysis of the available randomized clinical trial evidence for fluvoxamine in the outpatient management of COVID-19. Data Sources: World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov. Study Selection: Studies with completed outpatient trials with available results that compared fluvoxamine with placebo were included. Data Extraction and Synthesis: The PRISMA 2020 guidelines were followed and study details in terms of inclusion criteria, trial demographics, and the prespecified outcome of all-cause hospitalization were extracted. Risk of bias was assessed by the Cochrane Risk of Bias 2 tool and a bayesian random effects meta-analysis with different estimates of prior probability was conducted: a weakly neutral prior (50% chance of efficacy with 95% CI for risk ratio [RR] between 0.5 and 2.0) and a moderately optimistic prior (85% chance of efficacy). A frequentist random-effects meta-analysis was conducted as a senstivity analysis, and the results were contextualized by estimating the probability of any association (RR ≤ 1) and moderate association (RR ≤ 0.9) with reduced hospitalization. Main Outcomes and Measures: All-cause hospitalization. Results: This systematic review and meta-analysis of 3 randomized clinical trials and included 2196 participants. The RRs for hospitalization were 0.78 (95% CI, 0.58-1.08) for the bayesian weakly neutral prior, 0.73 (95% CI, 0.53-1.01) for the bayesian moderately optimistic prior, and 0.75 (95% CI, 0.58-0.97) for the frequentist analysis. Depending on the scenario, the probability of any association with reduced hospitalization ranged from 94.1% to 98.6%, and the probability of moderate association ranged from 81.6% to 91.8%. Conclusions and Relevance: In this systematic review and meta-analysis of data from 3 trials, under a variety of assumptions, fluvoxamine showed a high probability of being associated with reduced hospitalization in outpatients with COVID-19. Ongoing randomized trials are important to evaluate alternative doses, explore the effectiveness in vaccinated patients, and provide further refinement to these estimates. Meanwhile, fluvoxamine could be recommended as a management option, particularly in resource-limited settings or for individuals without access to SARS-CoV-2 monoclonal antibody therapy or direct antivirals

Intergenerational teen pregnancy: a population based cohort study

Introduction Mothers can influence on a teen’s knowledge and attitude about sexual and reproductive health practices. Prior studies on intergenerational teen pregnancy between mother and daughter were largely limited to livebirths. Objectives and Approach To estimate the odds of intergenerational teenage pregnancy, and whether there is a coupling tendency between mother and daughter in how their teen pregnancies end, such as induced abortion (IA) vs. livebirth. A cohort study was conducted in Ontario, Canada among 15,097 mothers and their 16,177 daughters. The mother and her daughter were each assessed, between ages 15-19 years, for the number and nature of teenage pregnancy. The nature of teen pregnancy was categorized as i) no teen pregnancy, ii) ≥1 teen pregnancy, all exclusively ending with livebirth, and iii) ≥1 teen pregnancy, with at least one ending with IA. Results 13,036 daughters’ mothers had a teen pregnancy and 3,141 daughters’ mothers did not. Teen pregnancy occurred among 3,777(29.0%) and 513(16.2%) daughters, respectively. The adjusted odds ratio (aOR) of a daughter having a teen pregnancy was 1.42 (95% CI 1.25-1.61) if her mother had 1, 1.97 (95% CI 1.71-2.26) if her mother had 2, and 2.17 (95% CI 1.84-2.56) if her mother had ≥3 teen pregnancies, relative to none. If a mother had ≥1 teen pregnancy ending with IA, then her daughter had an aOR of 2.12 (95% CI 1.76-2.56) for having a teen pregnancy also ending with IA; whereas, if a mother had ≥1 teen pregnancy, all ending with livebirth, then her daughter had an aOR of 1.73 (95% CI 1.46-2.05) for that same outcome. Conclusion/Implications There is a strong intergenerational occurrence of teenage pregnancy between a mother and daughter, including a coupling tendency in how the pregnancy ends. Such evidence supports the use of family-centered interventions that engage parents to reduce unprotected sex and unintended pregnancies among teenagers

Health Equity in Cancer Screening in Calgary – A Geographic Approach to Account for Population Socioeconomic Status

Introduction There is substantial evidence that cancer screening rates are lower among Canadians with low socioeconomic status (SES) than they are among those with higher SES. In order to optimize cancer screening, there is a need to reduce inequities in cancer screening. Objectives and Approach The purpose of this study is to understand how breast, colorectal and cervical cancer screening participation varies by socioeconomic status within local geographic areas (LGAs) in the city of Calgary. A Bayesian multilevel regression method with a spatial component was used to estimate Standardized Incidence Rates (SIR) at the LGA level. Bivariate spatial clustering analyses between screening rates at the Dissemination Area (DA) level and Pampalon material and social deprivation index was performed to better understand spatial structures of low and high screening rates compared to high and low material and social deprivation scores within LGAs. Results The effect of material (income, education and employment) and social (living alone, separated, and divorced or windowed) deprivation on lower screening rates was stronger for breast cancer screening, compared to cervical and colorectal screening. Estimated likelihood of screening significantly decreased from the least deprived to the most deprived (9% for the material component and 18% for the social component for Breast cancer; 8% for the material component and 10% for the social component for cervical cancer screening). Clusters of lower screening rates and higher social and material deprivation were identified in the northeastern and central areas of the city. Conclusion/Implications The study allowed identifying LGAs and neighborhoods within those LGAs that have lower screening rates likely to be explained by the material and social deprivation of the population. The approach provides additional evidence for planning targeted interventions and reducing inequities for screening

Mortality among single fathers as compared with single mothers and partnered fathers: a cohort study

Introduction Single-parent families are becoming increasingly common around the world with a particularly steep rise in households headed by single fathers. Research suggests that single parenthood is associated with adverse outcomes, however, little is known about the health profile or risk of death of single fathers compared to other parents. Objectives and Approach We aimed to examine mortality risk in single fathers compared to single mothers and partnered parents, which is the first head-to-head comparison of single and partnered parent groups. Our population consisted of 871 single fathers, 4590 single mothers, 16,341 partnered fathers and 18,688 partnered mothers. We combined cross-sectional samples derived from the Ontario component of Statistics Canada’s Canadian Community Health Survey (2001 to 2012) linked to health administrative databases to identify medical conditions, health service use, all-cause mortality and cause of death. We investigated differences in mortality using Cox proportional hazards models adjusted for socio-demographic characteristics, lifestyle and clinical factors. Results Each family group was followed up for a median of 11.10 years (IQR 7.36–13.54). Single fathers had a poor risk profile, particularly among lifestyle factors, such as low fruit and vegetable consumption and alcohol consumption. The mortality rate was three-fold higher for single fathers compared to single mothers and partnered fathers (5.81, 1.74 and 1.94, respectively). Even after adjustment, single fathers had a significantly higher risk of death compared to both single mothers (hazard ratio (HR): 2.49 (95% CI: 1.20 – 5.15, p=0.01)) and partnered fathers (HR: 2.06 (95% CI: 1.11 – 3.83, p=0.02). Small sample sizes precluded us from identifying the leading cause of death for single fathers. Conclusion/Implications We found that single fathers had the least favorable risk factor profile and greatest risk of mortality, which may be mitigated by physician intervention. Our study highlights that through cross-sectoral data linkages we can further advance our knowledge of social factors and their profound effects on health

Multi-province epidemiological research using administrative data in Canada: Challenges and opportunities

Introduction Canada has a publicly-funded universal health care system with information systems managed by 13 provinces and territories. This context creates inconsistencies in data collection and challenges for epidemiological research conducted at the national or multi-jurisdictional level. Objectives and Approach Using a recent five-province research project as a case study (BC, AB, MB, ON, QC), we will discuss the strengths and challenges of using Canadian administrative health data in a multi-jurisdictional context. Our goal is to contribute to a better understanding of these challenges and the development of a more integrated and harmonized approach to conducting multi-jurisdictional research. Results Multi-jurisdictional data work is feasible but requires detailed coordination and extensive cooperation from all involved. There were noteable variations across provinces in this multi-province study. For example, time required to access the data varied greatly across the five provinces (from 4 to 9 months), and thus there were sequencing challenges, with some provinces being well into the analysis stage while others were still waiting for data. Access to human resources varied across provinces and in some cases led to delays in data abstraction. Cost of data (or analytic support) also varied across provinces, from $12,000 –$15,000. Critical to the success of the project was a coordinating group with expertise in both administrative health data and cross-provincial project coordination. Conclusion/Implications This project demonstrated the value of comparable data infrastructure with equitable access policies. Many of the disadvantages to multi-province projects using health care administrative data, such as potential coding errors and inconsistencies, can be managed by developing national standards and protocols, and tools that are shared for data cleaning and validation