Factors associated with postpartum psychiatric admission in a population-based cohort of women with schizophrenia

General and age-specific fertility rates in non-affective psychosis: population-based analysis of Scottish women

PURPOSE

Women diagnosed with non-affective psychosis have a lower general fertility rate (GFR) and age-specific fertility rate (ASFR) than women in the general population. Contemporary data on GFR in this group remain limited, despite substantive changes in prescribing and management. We calculated contemporary estimates of the GFR and ASFR for women diagnosed with non-affective psychosis compared with the general population of women without this diagnosis.

METHODS

A population-based design combined routinely collected historical maternity and psychiatric data from two representative areas of Scotland. Women were included from the NHS Grampian or Greater Glasgow and Clyde areas and were aged 15-44 between 2005 and 2013 inclusive. The 'exposed' group had a diagnosis of non-affective psychosis (ICD-10 F20-F29) and was compared to the general population of 'unexposed' women in the same geographical areas.

RESULTS

Annual GFR between 2005 and 2013 for women with non-affective psychosis varied from 9.6 to 21.3 live births/1000 women per year in the exposed cohort and 52.7 to 57.8 live births/1000 women per year in the unexposed cohort, a rate ratio (RR) of 0.28 [p < 0.001; 95% CI (0.24, 0.32)]. ASFR for all 5-year age groups was lower in the exposed cohort than amongst unexposed women.

CONCLUSION

We highlight continued low fertility rates in women with a diagnosis of non-affective psychosis, despite widespread availability of prolactin-sparing atypical antipsychotics. Accurate estimation of fertility rates remains crucial in developing needs-matched perinatal care for these women. Methodological improvements using routine datasets to investigate perinatal mental health are also urgently needed.

Mental health service use among pregnant and early postpartum women

PURPOSE

To explore the proportion and characteristics of women with a mental disorder who have contact with mental health services during pregnancy and the postnatal period in a maternity service in London.

METHODS

Data from the WEll-being in pregNancy stuDY (WENDY), a prospective cohort study, were used. Women were recruited at their first appointment for antenatal care and assessed for mental disorders using the Structured Clinical Interview DSM-IV Axis I/II Disorders for Research. Clinical, sociodemographic and psychosocial characteristics were collected. Mental health service use data were collected for the period from study entry to 3 months postpartum.

RESULTS

Two hundred women met diagnostic criteria for a mental disorder. Fifty-five (34%) of these had at least one contact with mental health services. Moderate depression (OR 7.44, CI 2.03-27.28, p < 0.01), severe depression (OR 10.5, CI 2.68-41.12, p < 0.01), past psychiatric hospital admission (OR 3.76, CI 1.05-13.44, p < 0.05), symptoms of anxiety (OR 3.95, CI 1.86-8.37, p < 0.001) and perceived low levels of social support (OR 0.43, CI 0.18-1.01, p = 0.05) were associated with an increased likelihood of contact with mental health services in univariate analyses. However, only moderate (OR 5.92, CI 1.31-26.78, p = 0.02) and severe depression (OR 6.04, CI 1.08-33.72, p = 0.04) remained significant in the multivariate regressions analyses.

CONCLUSION

Only a third of women with a diagnosable mental disorder at their first antenatal appointment had any contact with mental health services during pregnancy or up to 3 months postpartum. Further research is warranted to elicit perinatal women's views about the potential barriers to accessing professional mental health care.

An evaluation of symptom domains in the 2 years before pregnancy as predictors of relapse in the perinatal period in women with severe mental illness

BACKGROUND

Symptoms may be more useful prognostic markers for mental illness than diagnoses. We sought to investigate symptom domains in women with pre-existing severe mental illness (SMI; psychotic and bipolar disorder) as predictors of relapse risk during the perinatal period.

METHODS

Data were obtained from electronic health records of 399 pregnant women with SMI diagnoses from a large south London mental healthcare provider. Symptoms within six domains characteristically associated with SMI (positive, negative, disorganization, mania, depression, and catatonia) recorded in clinical notes 2 years before pregnancy were identified with natural language processing algorithms to extract data from text, and associations investigated with hospitalization during pregnancy and 3 months postpartum.

RESULTS

Seventy-six women (19%) relapsed during pregnancy and 107 (27%) relapsed postpartum. After adjusting for covariates, disorganization symptoms showed a positive association at borderline significance with relapse during pregnancy (adjusted odds ratio [aOR] = 1.36; 95% confidence interval [CI] = 0.99-1.87 per unit increase in number of symptoms) and depressive symptoms negatively with relapse postpartum (0.78; 0.62-0.98). Restricting the sample to women with at least one recorded symptom in any given domain, higher disorganization (1.84; 1.22-2.76), positive (1.50; 1.07-2.11), and manic (1.48; 1.03-2.11) symptoms were associated with relapse during pregnancy, and disorganization (1.54; 1.08-2.20) symptom domains were associated with relapse postpartum.

CONCLUSIONS

Positive, disorganization, and manic symptoms recorded in the 2 years before pregnancy were associated with increased risk of relapse during pregnancy and postpartum. The characterization of routine health records from text fields is relatively transferrable and could help inform predictive risk modelling.

Predicting postpartum psychiatric admission using a machine learning approach

AIMS

The accurate identification of mothers at risk of postpartum psychiatric admission would allow for preventive intervention or more timely admission. We developed a prediction model to identify women at risk of postpartum psychiatric admission.

METHODS

Data included administrative health data of all inpatient live births in the Australian state of Queensland between January 2009 and October 2014. Analyses were restricted to mothers with one or more indicator of mental health problems during pregnancy (n = 75,054 births). The predictors included all maternal data up to and including the delivery, and neonatal data recorded at delivery. We used multiple machine learning methods to predict hospital admission in the 12 months following delivery in which the primary diagnosis was recorded as an ICD-10 psychotic, bipolar or depressive disorders.

RESULTS

The boosted trees algorithm produced the best performing model, predicting postpartum psychiatric admission in the validation data with good discrimination [AUC = 0.80; 95% CI = (0.76, 0.83)] and achieving good calibration. This model outperformed benchmark logistic regression model and an elastic net model. In addition to indicators of maternal metal health history, maternal and neonatal anthropometric measures and social/lifestyle factors were strong predictors.

CONCLUSION

Our results indicate the potential of a big data approach when aiming to identify mothers at risk of postpartum psychiatric admission. Mothers at risk could be followed-up and supported after neonatal discharge to either remove the need for admission or facilitate more timely admission.

Schizophrenia around the time of pregnancy: leveraging population-based health data and electronic health record data to fill knowledge gaps

BACKGROUND

Research in schizophrenia and pregnancy has traditionally been conducted in small samples. More recently, secondary analysis of routine healthcare data has facilitated access to data on large numbers of women with schizophrenia.

AIMS

To discuss four scientific advances using data from Canada, Denmark and the UK from population-level health registers and clinical data sources.

METHOD

Narrative review of research from these three countries to illustrate key advances in the area of schizophrenia and pregnancy.

RESULTS

Health administrative and clinical data from electronic medical records have been used to identify population-level and clinical cohorts of women with schizophrenia, and follow them longitudinally along with their children. These data have demonstrated that fertility rates in women with schizophrenia have increased over time and have enabled documentation of the course of illness in relation with pregnancy, showing the early postpartum as the time of highest risk. As a result of large sample sizes, we have been able to understand the prevalence of and risk factors for rare outcomes that would be difficult to study in clinical research. Advanced pharmaco-epidemiological methods have been used to address confounding in studies of antipsychotic medications in pregnancy, to provide data about the benefits and risks of treatment for women and their care providers.

CONCLUSIONS

Use of these data has advanced the field of research in schizophrenia and pregnancy. Future developments in use of electronic health records include access to richer data sources and use of modern technical advances such as machine learning and supporting team science.

Women with Schizophrenia over the Life Span: Health Promotion, Treatment and Outcomes

Women with schizophrenia show sex-specific health needs that differ according to stage of life. The aim of this narrative review is to resolve important questions concerning the treatment of women with schizophrenia at different periods of their life—paying special attention to reproductive and post-reproductive stages. Review results suggest that menstrual cycle-dependent treatments may be a useful option for many women and that recommendations re contraceptive options need always to be part of care provision. The pregnancy and the postpartum periods—while constituting vulnerable time periods for the mother—require special attention to antipsychotic effects on the fetus and neonate. Menopause and aging are further vulnerable times, with extra challenges posed by associated health risks. Pregnancy complications, neurodevelopmental difficulties of offspring, cancer risk and cognitive defects are indirect results of the interplay of hormones and antipsychotic treatment of women over the course of the lifespan. The literature recommends that health promotion strategies need to be directed at lifestyle modifications, prevention of medical comorbidities and increased psychosocial support. Careful monitoring of pharmacological treatment has been shown to be critical during periods of hormonal transition. Not only does treatment of women with schizophrenia often need to be different than that of their male peers, but it also needs to vary over the course of life.

Risk Factors and Birth Outcomes Associated with Teenage Pregnancy: A Canadian Sample

STUDY OBJECTIVE

To examine the extent to which socioeconomic status, mental health, and substance use are associated with teenage pregnancies in Southwestern Ontario (SWO), and whether these pregnancies are at an elevated risk for adverse birth outcomes, after controlling for medical, behavioral, and socioeconomic status factors.

DESIGN

Retrospective cohort study using perinatal and neonatal databases.

SETTING

Tertiary care hospital in SWO.

PARTICIPANTS

Women residing in SWO who gave birth to singleton infants without congenital anomalies between 2009 and 2014. Teenage pregnancies (19 years of age or younger) were compared with pregnancies of women 20-34 years and 35 years or older.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Low birth weight (LBW), very LBW, term LBW, preterm birth, very preterm birth, low and very low Apgar score, and fetal macrosomia.

RESULTS

Of 25,263 pregnant women, 1080 (4.3%) were 19 years of age or younger. Approximately 18% of teenage mothers lived in socioeconomically disadvantaged neighborhoods, compared with 11% of mothers aged 20-34 and 9% of women 35 years of age or older (P < .001). Teenage mothers had higher rates of depression during pregnancy (9.8%) than mothers 20-34 years (5.8%) and those 35 years of age or older (6.8%; P < .001). Young mothers self-reported higher tobacco, marijuana, and alcohol use during pregnancy than adult mothers (P < .001). Teenage pregnancy increased the risk of a low Apgar score (adjusted odds ratio, 1.56; 95% confidence interval, 1.21-2.02), but was not associated with other birth outcomes after adjusting for covariates.

CONCLUSION

Teenage pregnancy is associated with a higher risk of socioeconomic disadvantage, mental health problems, and substance use during pregnancy, but is largely unrelated to adverse birth outcomes in SWO.

Postpartum mental health service utilization in women with Human Immunodeficiency Virus (HIV): a population-based study

Women with HIV have higher rates of psychiatric disorders than HIV-negative women, yet little is known about their postpartum mental health and associated service use. The purpose of this study was to characterize HIV-positive women's use of ambulatory and acute mental health services in the first year postpartum, relative to HIV-negative women. Using health administrative data, we identified 861,365 women who had a live birth delivery from April 1, 2002 to March 31, 2012 in Ontario, Canada, of whom 530 were identified to be HIV-positive. We described their use of mental health services, including outpatient mental health visits, psychiatric emergency department (ED) visits and hospitalizations using adjusted odds ratios (aORs) and 95% confidence intervals (CIs). HIV-positive women were more likely to access outpatient mental health services (31.5% vs. 21.0%, aOR, 1.26; 95% CI, 1.03-1.55), but more likely to remain engaged in psychiatrist services only (15.6% vs. 6.5%, aOR, 2.35; 95% CI, 1.41-3.72). They were also more likely to require a psychiatric ED visit or hospitalization (3.3% vs. 1.1%, aOR, 2.74; 95% CI, 1.72-4.12). Our findings highlight the importance of considering postpartum mental health as part of comprehensive reproductive health care for women with HIV.

Women who suffer from schizophrenia: Critical issues

Many brain diseases, including schizophrenia, affect men and women unequally - either more or less frequently, or at different times in the life cycle, or to varied degrees of severity. With updates from recent findings, this paper reviews the work of my research group over the last 40 years and underscores issues that remain critical to the optimal care of women with schizophrenia, issues that overlap with, but are not identical to, the cares and concerns of men with the same diagnosis. Clinicians need to be alert not only to the overarching needs of diagnostic groups, but also to the often unique needs of women and men.

Mother-infant separation among mothers with mental illness: An exploratory observational study in Japan

Mother-infant separation may influence child development and behavior problems. We reviewed charts for 3639 female patients to investigate rates, reasons, and predictors for mothers with mental illness being separated from their infants during the first year after childbirth in Japan. Of 77 patients with childbirth, 26 cases (34%) presented with maternal separation. The most common reason was psychiatric hospitalization. Diagnoses of schizophrenia spectrum disorders or mood disorders were independent contributors for maternal separation. Clinicians should pay particular attention to relapse or onset of psychotic or mood disorders during the perinatal period.

Women and schizophrenia: planning for the future

The aim of this narrative review is to provide readers with a summary of the recent literature on women and schizophrenia and to address commonly asked questions about the role of gender in this illness. Important gender distinctions were found in the knowledge base around schizophrenia, particularly in the areas of symptom onset, hormonal and immune effects, and antipsychotic drug kinetics and their consequences. We also discuss and address commonly asked questions about gender and schizophrenia. This review concludes that gender differences influence the effectiveness of various treatments and need to be taken into account when planning comprehensive care services for individuals with schizophrenia.