Duration of maternal mental health-related outcomes after an infant’s death: A retrospective matched-cohort study using linkable administrative data

Introduction Mothers have increased mental illness such as anxiety and depression after the death of a child. Objectives and Approach The mental health of all mothers who experience the death of an infant (< 1 years old) in Manitoba, Canada between April 1, 1999, and March 31, 2011 (n = 534) is examined in the four years leading up to, and the four years following, the death of their child to determine how long increased levels of mental-health realted outcomes remain elevated after the death of an infant. Mental health-related outcomes of these mothers are compared with a matched (3:1) cohort of mothers who did not experience the death of a child (n = 1,602). Results Compared with mothers who did not experience the death of a child, mothers experiencing this event had higher rates of anxiety diagnoses and psychotropic prescriptions starting 6 months before the death. Elevated rates of anxiety continued for the first year and elevated rates of psychotropic prescriptions continued for six months after the death of the child. Mothers who experienced the death of a child had higher rates of depression diagnoses in the year after the death. Relative rates (RR) of depression (RR = 4.94), anxiety (RR = 2.21), and psychotropic medication use (RR = 3.18) were highest in the six months after the child’s death. Conclusion/Implications Elevated rates of depression, anxiety, and psychotropic medication use after the death of a child end within one year of the child’s death

Exploring Alternative Designs using ‘Big’ Administrative Data

Introduction Large population-based data sets present similar analytic issues across such fields as: population health, clinical epidemiology, education, justice, and children’s services. Step-wise approaches and generalized tools can bring together several pillars: big (typically administrative) data, programming, and study design/analysis. How can we improve efficiency and explore alternative designs? Objectives and Approach Linked data sets typically contain: 1) files presenting longitudinal histories 2) substantive files noting various events (concussions, burns, loss of a loved one, public housing entry) and several possible covariates and outcomes. Step-wise approaches enable automating tasks by developing general tools (decreasing programmer input) and facilitating alternative designs. Macros improve upon the classic ‘one design, one data set’ perspective. Two case studies highlight tradeoffs in retrospective cohort studies (quasi-experiments) among sample size, length of follow-up, and the number of time periods. Results Study 1: Step 1 calculated the number of mothers with a child placed in care during various index years. Taking 1 year before and after placement generated 5,991 eligible mothers; selecting 5 years before/after decreased the N to 2,281. Step 2 selected appropriate in-province residents. Step 3 handled missing covariates and outcomes, while Step 4 ran alternative designs. One example (of several) compared maternal mental health outcomes using 8 time periods (in 2 years) before/after the event with outcomes using 16 time periods (in 4 years) before/after. Besides showing increasing maternal problems, the 4-year follow-up sometimes produced different statistically significant periods than the 2-year follow-up. Study 2. Swedish/Canadian comparisons of mothers with children placed in foster care highlighted growing differences in maternal pharmaceutical use. Conclusion/Implications Presenting design alternatives is straightforward and applicable across disciplines. Ongoing work is facilitating comparisons of ‘experimental’ and control groups. Literature-derived guidelines and simulation-based techniques should lead to better design decisions. Automated model assessment can help analyze robustness, statistical power, residuals, and bias, suggesting artificial intelligence approaches

Linking Canadian Administrative Data: Income Trajectories, Residential and School Mobility, and Grade 3 Academic Achievement.

Objective The objective is to examine the association between trajectories of childhood residential and school mobility and academic achievement (literacy, numeracy) in Grade 3 using linked whole-population administrative data in Manitoba, Canada. Secondarily, we assessed childhood residential/school mobility based on neighbourhood income levels (moving in/out of low- or mid-/high-income neighbourhoods). Approach This retrospective cohort study used linkable, de-identified administrative data (health, education, national census, provincial survey) from the provincial Population Research Data Repository housed at the Manitoba Centre for Health Policy (MCHP). Among kindergarteners from 2005 to 2014 (n = 83,894), those not having continuous residency in Manitoba, valid education assessments, and relevant family-level covariates were excluded. We followed this eligible cohort from kindergarten to Grade 3 based on various neighbourhood income trajectories of residential and school mobility. To assess Grade 3 literacy and numeracy scores based on trajectories, log-binomial regression models were conducted using SAS® version 9.4. Results The total cohort included 36,754 children; at the end of kindergarten, 14.2% resided in low-income neighbourhoods, and 84.8% lived in mid-/high-income neighbourhoods. Moving between two low-income neighborhoods between kindergarten to Grade 3 was associated with an increased risk of poor Grade 3 numeracy and literacy scores (numeracy aRR=1.39 [1.16,1.67]; literacy aRR=1.31 [1.08,1.59]). When moving between neighborhood income levels, the association was stronger for children moving into low-income neighbourhoods (e.g., mid-/high-income to low-income: numeracy aRR=1.41 [1.19,1.67]) than children moving into mid/high-income neighbourhoods (e.g., low-income to mid-/high-income: numeracy aRR=1.31 [1.08,1.59]). Changing schools between kindergarten and Grade 3 was also associated with poorer numeracy and literacy scores in Grade 3 (numeracy aRR=1.31 [1.22,1.40]; literacy aRR=1.34 [1.24,1.44]); however, the strength varied based on residential mobility patterns. Conclusion Moving homes/schools can differentially impact children’s educational attainment depending upon the income level of residing neighborhood(s). Stakeholders should recognize different levels of risks related to mobility and provide support accordingly to reduce the adverse impact. Support systems should be tailored to not only children but also families and neighbourhoods

Avoidable mortality among parents whose children were placed in care in Sweden: A retrospective matched cohort study

Introduction Separation from one’s child can have significant consequences for parental health and well-being. Objectives and Approach We aimed to investigate whether parents whose children were placed in care had higher rates of avoidable (amenable and preventable) mortality. Data were obtained from the Swedish national registers. Mortality rates among parents whose children were placed in care between 1990 and 2012 (17 505 mothers, 18 286 fathers) were compared with a 5:1 matched cohort of parents whose children were not placed. We computed rate differences and hazard ratios of all-cause and avoidable mortality. Results When compared with parents who did not have a child placed in care, there were an additional 21 avoidable deaths per 10 000-person years among mothers and an additional 27 avoidable deaths per 10 000-person years among fathers whose children were placed in care. Among mothers, death due to preventable causes were 3·83 times greater (95% CI 2·82-5·21) and deaths due to amenable causes were 3·12 times greater (95% CI 2·07-4·69) for those whose children were placed in care. Among fathers, death due to preventable causes was 1·75 times greater (95% CI 1·41-2·16) and deaths due to amenable causes were 1·52 times greater (95% CI 1·08- 2·13) for those whose children were placed in care. Avoidable mortality rates were higher among mothers whose children were young when placed in care and parents whose children were all placed in care. Conclusion/Implications Mothers who had a young child placed and parents whose children were all placed in care are at much higher risk of avoidable mortality than parents whose children were not placed in care. Targeted public health interventions and more attentive health care could reduce risk of avoidable mortality in this group of parents

The Cycle of Child Protection Services Involvement: A Cohort Study of Adolescent Mothers

Introduction Adolescent girls in care of child protection services are more likely to become pregnant than adolescent girls not in care, and mothers who were in care are more likely to have their children placed in care. Objectives and Approach Linkable administrative data were used to determine whether adolescent mothers in care are at greater risk of having their child placed in care before age two. A population-based cohort of adolescent mothers whose first child was born in Manitoba, Canada between April 1, 1998, and March 31, 2013 (n = 5,942) was used. Adjusted odds ratios (AOR) of having that first child taken into care before their second birthday were compared between mothers who were in care (n = 576) and mothers who were not in care (n = 5, 366) at the birth of their child using logistic regression models. Results Adolescent mothers who were in care had greater odds of having their child taken into care before the child’s second birthday (AOR = 7.53; 95% CI = 6.19-9.14). Specifically, their children had higher odds of being taken into care in their first week of life (AOR = 11.64; 95% CI = 8.83-15.34), between one week and their first birthday (AOR = 3.63; 95% CI = 2.79-4.71)., and between their first and second birthday (AOR = 2.21; 95% CI = 1.53-3.19). Conclusion/Implications Findings support an intergenerational cycle of involvement with child protection services. More and better services are required for adolescent mothers who give birth while in care of child protection services

Prenatal care of women who give birth to Children with Fetal Alcohol Spectrum Disorder in a universal health care system: A retrospective cohort study utilizing linkable administrative data

Introduction Fetal Alcohol Spectrum Disorder (FASD) is a significant public health concern. Prenatal care (PNC) settings are integral to preventing prenatal alcohol exposure as physicians delivering PNC services are in a unique position to reduce alcohol consumption during pregnancy. However, few studies have investigated PNC use among women who drink during Objectives and Approach Analysis was conducted of women with children born in Manitoba between April 1, 1984 and Mach 31, 2012, with follow up till 2013 using linkable administrative and novel clinic data. Study group included women whose child(ren) were diagnosed with FASD from 1999 to 2012 (n=702) at a centralised FASD diagnostic clinic. Comparison group included women from the general population whose children who did not have an FASD diagnosis (n=2097), matched on the index child’s birthdate, postal code, and SES. Adequacy of PNC utilization was defined using the revised Graduated Index of Prenatal Care Utilization. Results This is the first population-based study to investigate rates of PNC usage of women who have given birth to children with FASD. Rates of inadequate PNC were higher among the study group (adjusted RR 2.47, 95% CI 2.08 to 2.94), as well as no PNC (adjusted RR 3.55, CI 2.42 to 5.22). Among the study group 63% accessed PNC, with 59% receiving intermediate, adequate, or intensive PNC. Conclusion/Implications Results represent opportunity for screening and brief intervention programs to be delivered in PNC health care settings, as well as outreach programs to facilitate the uptake of PNC among high risk women

Neighborhood disinvestment and severe maternal morbidity in the state of California

BACKGROUND Social determinants of health, including neighborhood context, may be a key driver of severe maternal morbidity and its related racial and ethnic inequities; however, investigations remain limited. OBJECTIVE This study aimed to examine the associations between neighborhood socioeconomic characteristics and severe maternal morbidity, as well as whether the associations between neighborhood socioeconomic characteristics and severe maternal morbidity were modified by race and ethnicity. STUDY DESIGN This study leveraged a California statewide data resource on all hospital births at ≥20 weeks of gestation (1997–2018). Severe maternal morbidity was defined as having at least 1 of 21 diagnoses and procedures (eg, blood transfusion or hysterectomy) as outlined by the Centers for Disease Control and Prevention. Neighborhoods were defined as residential census tracts (n=8022; an average of 1295 births per neighborhood), and the neighborhood deprivation index was a summary measure of 8 census indicators (eg, percentage of poverty, unemployment, and public assistance). Mixed-effects logistic regression models (individuals nested within neighborhoods) were used to compare odds of severe maternal morbidity across quartiles (quartile 1 [the least deprived] to quartile 4 [the most deprived]) of the neighborhood deprivation index before and after adjustments for maternal sociodemographic and pregnancy-related factors and comorbidities. Moreover, cross-product terms were created to determine whether associations were modified by race and ethnicity. RESULTS Of 10,384,976 births, the prevalence of severe maternal morbidity was 1.2% (N=120,487). In fully adjusted mixed-effects models, the odds of severe maternal morbidity increased with increasing neighborhood deprivation index (odds ratios: quartile 1, reference; quartile 4, 1.23 [95% confidence interval, 1.20–1.26]; quartile 3, 1.13 [95% confidence interval, 1.10–1.16]; quartile 2, 1.06 [95% confidence interval, 1.03–1.08]). The associations were modified by race and ethnicity such that associations (quartile 4 vs quartile 1) were the strongest among individuals in the “other” racial and ethnic category (1.39; 95% confidence interval, 1.03–1.86) and the weakest among Black individuals (1.07; 95% confidence interval, 0.98–1.16). CONCLUSION Study findings suggest that neighborhood deprivation contributes to an increased risk of severe maternal morbidity. Future research should examine which aspects of neighborhood environments matter most across racial and ethnic groups

In-Utero SSRI and SNRI Exposure and the Risk of Long Term Adverse Mental and Educational Outcomes in Children: A Population-Based Retrospective Cohort Study Utilizing Linked Administrative Data

Introduction Few studies are capable of investigating the impact of untreated maternal depression versus in-utero antidepressant exposure on long-term effects on children. Previous studies are limited by confounding by indication and are unable to follow children over time to accurately investigate long term outcomes present in childhood and adolescence. Objectives and Approach We utilize linkable administrative data to facilitate longitudinal analysis to investigate mental and educational outcomes in children exposed to in utero antidepressants. Using population-level linked administrative data from a universal health system, this study included all mother-newborn dyads in Manitoba (born 1996 to 2009, with follow-up through 2014). High Dimensional Propensity Scores and inverse probability treatment weighting were used to address confounding by indication and disease severity.Cox Proportional Hazard Regression models were used to estimate risk of mood and anxiety disorder in children and educational outcomes. Results Asymmetric trimming of the study cohort resulted in a total of 4998 mother-child dyads; 4159 children whose mothers did not use SSRIs/SNRIs during pregnancy and 839 children who were exposed to 2+ prescriptions in-utero. Use of SSRIs/SNRIs during pregnancy was not associated with an increased risk of mood/anxiety disorder in children HR 1.32 (95% CI 0.67 to 2.62). Initial results on the association between in-utero antidepressant use and early childhood development index (EDI) scores indicate no impact on school readiness (31.9% vs 29.3%), or scores on standardized tests of literacy and numeracy in Grade 3 (28.4% meeting expectation versus 31.4%) and in Grade 7 (68.8% versus 70.0%). Conclusion/Implications Administrative data facilitate investigation into an important clinical concern. These data provide robust evidence demonstrating in a large population based sample, in utero exposure to serotonergic antidepressants compared with no exposure does not increase risk of the onset of mood and anxiety disorders and adverse educational outcomes in children

In-Utero SSRI and SNRI Exposure and the Risk of Neurodevelopmental Disorders in Children: A Population-Based Retrospective Cohort Study Utilizing Linked Administrative Data

Introduction Many studies demonstrating an association between in utero exposure to serotonergic antidepressants and higher risk of neurodevelopmental disorders in children are confounded by history of maternal depression and disease severity. We conducted a population-based analysis of women diagnosed with mood/anxiety disorder, a patient population for whom pharmacotherapy is clearly indicated. Objectives and Approach Using linked population-based administrative data, we identified all mother-newborn pairs in Manitoba (born 1996 to 2009, with follow-up through 2014). High dimensional propensity scores and inverse probability treatment weighting were used to address confounding by indication and disease severity. The final trimmed cohort consisted of mothers who were diagnosed with a mood/anxiety disorder from 90 days prior to conception until delivery (n=4995). Cox Proportional Hazard Regression models were used to estimate risk of Autism Spectrum Disorder, epilepsy and attention deficit hyperactivity disorder (ADHD) in offspring. In addition to clinical data, we used novel education data to define outcomes in children. Results Among the cohort of mothers diagnosed with a mood/anxiety disorder during pregnancy or up to 90 days before, 16.8% received at least two dispensations of an SSRI or SNRI during pregnancy. We did not observe an association between use of SSRIs/SNRIs during pregnancy and increased risk of Autism Spectrum Disorder (hazard ratio 0.92; 95% CI 0.42 to 2.03), epilepsy (hazard ratio 1.21; 95% CI 0.48 to 3.05), or ADHD (hazard ratio 1.13, 95% CI 0.78 to 1.64) among offspring. Conclusion/Implications In the absence of randomized control trials, large observation studies using sophisticated data analysis are the gold standard of evidence to help patients and clinicians making the decision to continue antidepressant use during pregnancy. Results of this study reassure women for whom the medication is clinically indicated

Estimating Disease Heritability from Electronic Healthcare Records: A Proof-of-Concept Study.

Objective A family history of a chronic disease often predicts disease risk, with predictive value determined by heritability, the proportion of variation in risk explained by inherited genetic factors. Our objective was to assess the validity of disease heritability estimates from electronic healthcare records (EHRs) that capture family relationships and disease diagnoses. Approach A population-based investigation was conducted using healthcare records from Manitoba, Canada for 1970 to 2021. We constructed family relationships for up to four generations using health insurance registration information containing unique family and individual identifiers. Health histories for family members were created using diagnosis codes in hospital and physician visit records. Linear mixed-effects models were used to estimate heritability (h) for 130 chronic health conditions using open-source Clinical Classifications Software that defines clinically-meaningful disease categories. Comparisons between EHR-derived estimates and genetically-derived estimates from published studies were used to assess validity of the methodology. Results Health insurance registration data were used to construct 10,000 families that included 116,879 individuals. Median family size was 9 (interquartile range: 8). Median observation time was 39.6 years (interquartile range: 25.7). Males comprised half (51.0%) of family members. A total of 272,114 familial relationships were identified; slightly more than half (53%) were first degree (i.e., child and parent) relationships. One-third (33.2%) of families were comprised of four generations; only 15.3% were comprised of two generations. Heritability estimates were consistent with published genetically-derived estimates for several conditions, including diabetes (EHR h = 0.29 vs. 0.22), anemia (EHR h = 0.21 vs. 0.20), and asthma (EHR h = 0.34 vs. 0.33). However, inconsistencies were identified for pancreatic disorders, gastrointestinal conditions, some mental health conditions, and heart disease. Conclusion EHRs provide a promising approach to explore heritability of selected health conditions in large, diverse populations. Inconsistencies between EHR-derived and genetically-derived estimates are indicative of the limitations of diagnoses recorded for administrative purposes. Future research will explore sex-specific heritability estimates and effects of change in disease diagnosis coding over time