Background Although maternal death is rare in the United Kingdom, 90% of these women had multiple health/social problems. This study aims to estimate the prevalence of pre-existing multimorbidity (two or more long-term physical or mental health conditions) in pregnant women in the United Kingdom (England, Northern Ireland, Wales and Scotland). Study design Pregnant women aged 15–49 years with a conception date 1/1/2018 to 31/12/2018 were included in this population-based cross-sectional study, using routine healthcare datasets from primary care: Clinical Practice Research Datalink (CPRD, United Kingdom, n = 37,641) and Secure Anonymized Information Linkage databank (SAIL, Wales, n = 27,782), and secondary care: Scottish Morbidity Records with linked community prescribing data (SMR, Tayside and Fife, n = 6099). Pre-existing multimorbidity preconception was defined from 79 long-term health conditions prioritised through a workshop with patient representatives and clinicians. Results The prevalence of multimorbidity was 44.2% (95% CI 43.7–44.7%), 46.2% (45.6–46.8%) and 19.8% (18.8–20.8%) in CPRD, SAIL and SMR respectively. When limited to health conditions that were active in the year before pregnancy, the prevalence of multimorbidity was still high (24.2% [23.8–24.6%], 23.5% [23.0–24.0%] and 17.0% [16.0 to 17.9%] in the respective datasets). Mental health conditions were highly prevalent and involved 70% of multimorbidity CPRD: multimorbidity with ≥one mental health condition/s 31.3% [30.8–31.8%]). After adjusting for age, ethnicity, gravidity, index of multiple deprivation, body mass index and smoking, logistic regression showed that pregnant women with multimorbidity were more likely to be older (CPRD England, adjusted OR 1.81 [95% CI 1.04–3.17] 45–49 years vs 15–19 years), multigravid (1.68 [1.50–1.89] gravidity ≥ five vs one), have raised body mass index (1.59 [1.44–1.76], body mass index 30+ vs body mass index 18.5–24.9) and smoked preconception (1.61 [1.46–1.77) vs non-smoker). Conclusion Multimorbidity is prevalent in pregnant women in the United Kingdom, they are more likely to be older, multigravid, have raised body mass index and smoked preconception. Secondary care and community prescribing dataset may only capture the severe spectrum of health conditions. Research is needed urgently to quantify the consequences of maternal multimorbidity for both mothers and children.
Question: Does self-monitoring of blood pressure by pregnant individuals at higher risk of preeclampsia lead to earlier detection of pregnancy hypertension compared to usual antenatal care? Findings: In this randomized clinical trial that included 2441 pregnant individuals at increased risk for pre-eclampsia, use of self-monitoring of BP with telemonitoring compared with usual care resulted in a mean time to clinic-based detection of hypertension of 104 vs 106 days, a difference that was not statistically significant.Meaning: Among pregnant individuals at higher risk of pre-eclampsia, blood pressure selfmonitoring with telemonitoring did not lead to earlier clinic-based detection of hypertension.
BackgroundMaternal mortality has declined by nearly half since 1990, but over a quarter million women still die every year of causes related to pregnancy and childbirth. Maternal-health related targets are falling short of the 2015 Millennium Development Goals and a post-2015 Development Agenda is emerging. In connection with this, setting global research priorities for the next decade is now required.MethodsWe adapted the methods of the Child Health and Nutrition Research Initiative (CHNRI) to identify and set global research priorities for maternal and perinatal health for the period 2015 to 2025. Priority research questions were received from various international stakeholders constituting a large reference group, and consolidated into a final list of research questions by a technical working group. Questions on this list were then scored by the reference working group according to five independent and equally weighted criteria. Normalized research priority scores (NRPS) were calculated, and research priority questions were ranked accordingly.ResultsA list of 190 priority research questions for improving maternal and perinatal health was scored by 140 stakeholders. Most priority research questions (89%) were concerned with the evaluation of implementation and delivery of existing interventions, with research subthemes frequently concerned with training and/or awareness interventions (11%), and access to interventions and/or services (14%). Twenty-one questions (11%) involved the discovery of new interventions or technologies.ConclusionsKey research priorities in maternal and perinatal health were identified. The resulting ranked list of research questions provides a valuable resource for health research investors, researchers and other stakeholders. We are hopeful that this exercise will inform the post-2015 Development Agenda and assist donors, research-policy decision makers and researchers to invest in research that will ultimately make the most significant difference in the lives of mothers and babies.
Background The number of medications prescribed during pregnancy has increased over the past few decades. Few studies have described the prevalence of multiple medication use among pregnant women. This study aims to describe the overall prevalence over the last two decades among all pregnant women and those with multimorbidity and to identify risk factors for polypharmacy in pregnancy. Methods A retrospective cohort study was conducted between 2000 and 2019 using the Clinical Practice Research Datalink (CPRD) pregnancy register. Prescription records for 577 medication categories were obtained. Prevalence estimates for polypharmacy (ranging from 2+ to 11+ medications) were presented along with the medications commonly prescribed individually and in pairs during the first trimester and the entire pregnancy period. Logistic regression models were performed to identify risk factors for polypharmacy. Results During the first trimester (812,354 pregnancies), the prevalence of polypharmacy ranged from 24.6% (2+ medications) to 0.1% (11+ medications). During the entire pregnancy period (774,247 pregnancies), the prevalence ranged from 58.7 to 1.4%. Broad-spectrum penicillin (6.6%), compound analgesics (4.5%) and treatment of candidiasis (4.3%) were commonly prescribed. Pairs of medication prescribed to manage different long-term conditions commonly included selective beta 2 agonists or selective serotonin re-uptake inhibitors (SSRIs). Risk factors for being prescribed 2+ medications during the first trimester of pregnancy include being overweight or obese [aOR: 1.16 (1.14–1.18) and 1.55 (1.53–1.57)], belonging to an ethnic minority group [aOR: 2.40 (2.33–2.47), 1.71 (1.65–1.76), 1.41 (1.35–1.47) and 1.39 (1.30–1.49) among women from South Asian, Black, other and mixed ethnicities compared to white women] and smoking or previously smoking [aOR: 1.19 (1.18–1.20) and 1.05 (1.03–1.06)]. Higher and lower age, higher gravidity, increasing number of comorbidities and increasing level of deprivation were also associated with increased odds of polypharmacy. Conclusions The prevalence of polypharmacy during pregnancy has increased over the past two decades and is particularly high in younger and older women; women with high BMI, smokers and ex-smokers; and women with multimorbidity, higher gravidity and higher levels of deprivation. Well-conducted pharmaco-epidemiological research is needed to understand the effects of multiple medication use on the developing foetus.
Background Although maternal death is rare in the UK, 90% (510 of 566 deaths) of women who died during or within a year after pregnancy in 2016-18 had multiple health and social problems (MBRRACE-UK). This study aims to estimate the prevalence of pre-existing multimorbidity in pregnant women in the UK. MethodsPregnant women aged 15-49 years with a conception date between Jan 1 and Dec 31, 2018, were included in this cross-sectional study, using routine health-care datasets: Clinical Practice Research Datalink (CPRD) GOLD (UK, n=37 641), Secure Anonymised Information Linkage (SAIL) databank (Wales, n=27 782), and Scottish Morbidity Records (SMR, secondary care) with linked community prescribing data (Tayside and Fife, n=6099). We defined pre-existing multimorbidity (two or more morbidities) preconception from 79 long-term physical and mental health conditions. This definition was identified from the literature and prioritised by the multidisciplinary research advisory group, including patient representatives. The association of women's characteristics preconception with multimorbidity was examined with logistic regression. The University of St Andrews School of Medicine Ethics Committee approved this project. Participant consent was not required as the data used are anonymised. Interpretation Prevalence of multimorbidity was 44•2% (95% CI 43•7-44•7) in CPRD, 46•2% (45•6-46•8) in SAIL, and 19•8% (18•8-20•8) in SMR. Mental health conditions were highly prevalent and involved 70% of multimorbidity (CPRD: prevalence of multimorbidity with one or more mental health conditions 31•3% [30•8-31•8]). Pregnant women with conditions that were leading causes of maternal deaths had a high prevalence of multimorbidity (CPRD: 745 [2•0%] of 37 641 women had cardiovascular disease, of whom 597 [80•1%] had multimorbidity). Higher maternal age (CPRD: adjusted odds ratio 1•81 [95% CI 1•04-3•17] for 45-49 years vs 15-19 years), gravidity (1•68 [1•50-1•89] for ≥5 vs 1), BMI (1•59 [1•44-1•76], for ≥30 vs 18•5-24•9) and smoking (1•61 [1•46-1•77] for smoker vs non-smoker) were significantly associated with multimorbidity. Ethnicity and deprivation were not significantly associated with multimorbidity.Interpretation A significant proportion of women enter pregnancy with pre-existing multimorbidity, especially mental health conditions. Pregnant women with multimorbidity were more likely to smoke and have a raised BMI and support may be required to address this. There may be health-care access inequalities for some health conditions, especially mental health conditions in pregnant women from deprived or ethnic minority groups. Secondary care and linked community prescription dataset captured severe conditions and might underestimate the prevalence of multimorbidity. Urgent research is needed to quantify the consequences of maternal multimorbidity for mother and child.
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