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Lundborg L, Ananth CV, Joseph KS, Cnattingius S, Razaz N. Changes in the prevalence of maternal chronic conditions during pregnancy: A nationwide age-period-cohort analysis. BJOG 2025; 132:44-52. [PMID: 38899437 PMCID: PMC11612608 DOI: 10.1111/1471-0528.17885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 05/13/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024]
Abstract
OBJECTIVE To estimate temporal changes in the prevalence of pre-existing chronic conditions among pregnant women in Sweden and evaluate the extent to which secular changes in maternal age, birth cohorts and obesity are associated with these trends. DESIGN Population-based cross-sectional study. SETTING Sweden, 2002-2019. POPULATION All women (aged 15-49 years) who delivered in Sweden (2002-2019). METHODS An age-period-cohort analysis was used to evaluate the effects of age, calendar periods, and birth cohorts on the observed temporal trends. MAIN OUTCOME MEASURES Pre-existing chronic conditions, including 17 disease categories of physical and psychiatric health conditions recorded within 5 years before childbirth, presented as prevalence rates and rate ratios (RRs) with 95% confidence intervals (CIs). Temporal trends were also adjusted for pre-pregnancy body mass index (BMI) and the mother's country of birth. RESULTS The overall prevalence of at least one pre-existing chronic condition was 8.7% (147 458 of 1 703 731 women). The rates of pre-existing chronic conditions in pregnancy increased threefold between 2002-2006 and 2016-2019 (RR 2.82, 95% CI 2.77-2.87). Rates of psychiatric (RR 3.80, 95% CI 3.71-3.89), circulatory/metabolic (RR 1.62, 95% CI 1.55-1.71), autoimmune/neurological (RR 1.69, 95% CI 1.61-1.78) and other (RR 2.10, 95% CI 1.99-2.22) conditions increased substantially from 2002-2006 to 2016-2019. However, these increasing rates were less pronounced between 2012-2015 and 2016-2019. No birth cohort effect was evident for any of the pre-existing chronic conditions. Adjusting for secular changes in obesity and the mother's country of birth did not affect these associations. CONCLUSIONS The burden of pre-existing chronic conditions in pregnancy in Sweden increased from 2002 to 2019. This increase may be associated with the improved reporting of diagnoses and advancements in chronic condition treatment among women, potentially enhancing their fecundity.
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Affiliation(s)
- Louise Lundborg
- Clinical Epidemiology Division, Department of Medicine SolnaKarolinska InstitutetStockholmSweden
| | - Cande V. Ananth
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology and Reproductive SciencesRutgers Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
- Cardiovascular Institute of New JerseyNew BrunswickNew JerseyUSA
- Department of MedicineRutgers Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
- Department of Biostatistics and EpidemiologyRutgers School of Public HealthPiscatawayNew JerseyUSA
- Environmental and Occupational Health Sciences InstituteRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - K. S. Joseph
- School of Population and Public HealthUniversity of British ColumbiaVancouverCanada
- Department of Obstetrics and GynaecologyUniversity of British ColumbiaVancouverCanada
- British Columbia Children's Hospital Research InstituteVancouverCanada
| | - Sven Cnattingius
- Clinical Epidemiology Division, Department of Medicine SolnaKarolinska InstitutetStockholmSweden
| | - Neda Razaz
- Clinical Epidemiology Division, Department of Medicine SolnaKarolinska InstitutetStockholmSweden
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Vowles Z, Ashworth DC, Barron RL, Conti-Ramsden F, Wilson H, Leighton L, Wall L, Walter C, Myers J, Chappell LC. Inclusion of people with multiple long-term conditions in pregnancy research: patient, public and stakeholder involvement and engagement in a randomised controlled trial. RESEARCH INVOLVEMENT AND ENGAGEMENT 2024; 10:101. [PMID: 39375814 PMCID: PMC11457413 DOI: 10.1186/s40900-024-00634-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 09/10/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Both pregnant women and those with multiple long-term conditions are under-served groups in clinical research. Informing and improving research through patient and public involvement, including pregnant women with two or more long-term health conditions, is critical to increasing their inclusion in maternity research. Giant PANDA is a randomised controlled trial, evaluating the effect of a treatment initiation strategy with nifedipine versus labetalol on severe maternal hypertension and a composite outcome of fetal/neonatal death, or neonatal unit admission. We aimed to undertake a mixed methods study-within-a-project within the Giant PANDA trial to understand barriers and facilitators to participation, understand and optimise current representativeness of clinical trial delivery of those with multiple long-term conditions and co-create a checklist to support their inclusion in pregnancy research. METHODS We undertook online workshops with women with lived experience and hybrid workshops with healthcare professionals who look after women with multiple long-term conditions. A site audit of Giant PANDA sites provided insights into research delivery capacity and health system set-up, and how this influences inclusion. An extension to the Giant PANDA screening log captured data on multiple long-term conditions enabling analysis of the impact of these health conditions on women's inclusion in the trial. We co-created a checklist of recommendations for those designing and recruiting to similar clinical trials. RESULTS Five key recommendations were identified including a need to (1) involve women with multiple long-term conditions as partners in maternity research and (2) minimise barriers that stop them from taking part through (3) designing and delivering research that is flexible in time and place (4) consider research as part of care for everyone, including those with multiple long-term conditions and (5) measure and report inclusion of those with two or more health conditions in maternity research. Multiple long-term conditions were not a barrier to recruitment or randomisation in the Giant PANDA trial. CONCLUSION Women with multiple long-term conditions would like opportunities to find out about and participate in research which accounts for their needs. Our checklist aims to support those designing and delivering maternity research to optimise inclusion of individuals with multiple-long term conditions. TRIAL REGISTRATION Giant PANDA: EudraCT number: 2020-003410-12, ISRCTN: 12,792,616.
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Affiliation(s)
- Zoë Vowles
- Department of Women's and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, 10th Floor North Wing, London, SE7 8EH, UK.
| | - Danielle C Ashworth
- Department of Women's and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, 10th Floor North Wing, London, SE7 8EH, UK
| | - Rebecca L Barron
- Maternal and Fetal Health Research Centre, Saint Mary's Hospital, Manchester Foundation Trust, Manchester, UK
| | - Frances Conti-Ramsden
- Department of Women's and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, 10th Floor North Wing, London, SE7 8EH, UK
| | - Hannah Wilson
- Department of Women's and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, 10th Floor North Wing, London, SE7 8EH, UK
| | - Lisa Leighton
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK
| | - Louise Wall
- Individual with Lived Experience, Manchester, UK
| | | | - Jenny Myers
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Lucy C Chappell
- Department of Women's and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital, 10th Floor North Wing, London, SE7 8EH, UK
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Belsti Y, Mousa A, Jackson H, Moran LJ, Palmer KR, Dhungana RR, Callander E, Rolnik DL, Teede H, Enticott J. The Use of Multiple Medications During Pregnancy Among an Ethnically Diverse Population in South-Eastern Melbourne: A Retrospective Analysis to Explore Potential Risks and Complications. Drug Saf 2024:10.1007/s40264-024-01482-w. [PMID: 39302513 DOI: 10.1007/s40264-024-01482-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND AND OBJECTIVE Medication use is increasing to treat both pre-existing and pregnancy-related medical conditions or complications. This study aims to investigate factors associated with multiple medication use during pregnancy, as well as any increased risk of pregnancy complications for women taking multiple medications. METHODS A retrospective analysis of routinely collected medical records of singleton pregnant women was conducted in Southeast Melbourne, Australia, between 2016 and 2021. Self-reported medication use was recorded as part of routine medical care, starting from the first antenatal booking appointment and continuing for every subsequent antenatal appointment until birth. Multimorbidity was defined as having two or more medical conditions. Logistic regression was used to assess factors influencing multiple medication use (defined as taking two or more non-supplemental medications at any stage of pregnancy) and associations with pregnancy complications. RESULTS Of 48,502 participants, 34.9% used one medication, while 11.7% used multiple medications. Women of older age (30-34, 35-39, and ≥ 40 years), higher body mass index (25.0-29.9 kg/m2 and ≥ 30 kg/m2), born in Australasia and Oceania, higher socioeconomic status, and multimorbidity were more likely to use multiple medications during pregnancy. Women taking multiple medications had a higher risk of preterm and caesarean deliveries, fetal death, and neonatal admissions to intensive care. Sensitivity analyses exploring different morbidity categories produced no changes to findings. CONCLUSIONS Medication use during pregnancy is prevalent, with many pregnant mothers taking multiple medications. Given the rising maternal age, body mass index, and morbidities in pregnancy, the use of medications during pregnancy is increasing. Such use correlates with an increased chance of adverse pregnancy outcomes. In the context of limited trials on the safety and efficacy of medications in pregnancy, timely harnessing of the information available within routine medical records for post-marketing surveillance is important.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia
| | - Hannah Jackson
- Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia
| | - Kirsten R Palmer
- Monash Health, Melbourne, VIC, Australia
- Department of Obstetrics and Gynaecology, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
- The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC, Australia
| | - Raja Ram Dhungana
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia
| | - Emily Callander
- Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Daniel Lorber Rolnik
- Monash Health, Melbourne, VIC, Australia
- Department of Obstetrics and Gynaecology, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia
- Monash Health, Melbourne, VIC, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Melbourne, VIC, 3168, Australia.
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Vowles Z, Lovell H, Black M, Sandall J, Easter A. Models of care for pregnant women with multiple long-term conditions and the role of the midwife: A scoping review. Women Birth 2024; 37:101645. [PMID: 39013274 DOI: 10.1016/j.wombi.2024.101645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND More women are experiencing pregnancy with two or more long-term health conditions such as hypertension, depression or HIV (MLTC). Care can be complex and include multiple teams, health professionals and services. The type and range of maternity care models for these women and the role of the midwife within such models is unknown. AIM To provide an overview of the literature on models of care for pregnant, birthing, and postnatal women with MLTC and the role of the midwife. METHODS We conducted a scoping review guided by the Joanna Briggs Institute scoping review methodology. Five databases MEDLINE, CINAHL Plus, PsycINFO, EMBASE and The Maternity and Infant Care database were searched from inception until August 2022. A total of 3458 titles and abstracts and 56 full text papers were screened independently by two researchers. Data was extracted from five papers and synthesised narratively. FINDINGS Multidisciplinary care models are described or recommended in all five papers. Midwives have a varied and core role in the multidisciplinary care of women with MLTC. DISCUSSION Models of care for those with MLTC covered part or all the maternity journey, primarily antenatal and postnatal care. A focus on delivering high-quality holistic care throughout the maternity journey, including postnatally is needed. There is a lack of evidence on how midwifery continuity of care models may impact experiences of care and outcomes for this group. CONCLUSION There is a lack of empirical evidence on how best to provide midwifery and multi-disciplinary care for those with MLTC and a need for research to understand this. INCLUSIVITY STATEMENT Our aims refer to 'pregnant, birthing, and postnatal women and birthing people with MLTC'. We acknowledge that not all those accessing maternity services will identify as a woman. We continually strive to ensure that our research and public involvement is inclusive and sensitive to the needs of everyone. Our search terms did not narrow to either women or birthing people specifically and used broad terms of pregnancy, antenatal, prenatal, childbirth and postnatal care. All included papers use the term woman or women throughout therefore, we have used this terminology when describing their findings. Where the term 'woman' is used this should be taken to include women and people who do not identify as women but are pregnant or have given birth. This builds on our Patient and Public Involvement and Engagement work which has highlighted the need to use inclusive language.
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Affiliation(s)
- Zoë Vowles
- King's College London, Department of Women & Children's Health, School of Life Course & Population Sciences, St Thomas' Hospital, 10th Floor, North Wing, Westminster Bridge Road, London SE1 7EH, UK; Reproductive Health and Childbirth, Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, 10th Floor North Wing, London SE1 7EH, UK.
| | - Holly Lovell
- King's College London, Department of Women & Children's Health, School of Life Course & Population Sciences, St Thomas' Hospital, 10th Floor, North Wing, Westminster Bridge Road, London SE1 7EH, UK; Reproductive Health and Childbirth, Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, 10th Floor North Wing, London SE1 7EH, UK
| | - Mairead Black
- University of Aberdeen, Aberdeen Centre for Women's Health Research, The School of Medicine, Medical Sciences and Nutrition, UK
| | - Jane Sandall
- King's College London, Department of Women & Children's Health, School of Life Course & Population Sciences, St Thomas' Hospital, 10th Floor, North Wing, Westminster Bridge Road, London SE1 7EH, UK
| | - Abigail Easter
- King's College London, Department of Women & Children's Health, School of Life Course & Population Sciences, St Thomas' Hospital, 10th Floor, North Wing, Westminster Bridge Road, London SE1 7EH, UK
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5
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Akagi T, Saijo Y, Yoshioka E, Sato Y, Nakanishi K, Kato Y, Nagaya K, Takahashi S, Ito Y, Iwata H, Yamaguchi T, Miyashita C, Ito S, Kishi R, Kamijima M, Yamazaki S, Ohya Y, Kishi R, Yaegashi N, Hashimoto K, Mori C, Ito S, Yamagata Z, Inadera H, Nakayama T, Sobue T, Shima M, Kageyama S, Suganuma N, Ohga S, Katoh T. Association between maternal multimorbidity and neurodevelopment of offspring: a prospective birth cohort study from the Japan Environment and Children's Study. BMJ Open 2024; 14:e082585. [PMID: 39097305 PMCID: PMC11345530 DOI: 10.1136/bmjopen-2023-082585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 07/22/2024] [Indexed: 08/05/2024] Open
Abstract
OBJECTIVES To investigate the association between multimorbidity during pregnancy and neurodevelopmental delay in offspring using data from a Japanese nationwide birth cohort study. DESIGN This study was a prospective birth cohort study. SETTING This study population included 104 059 fetal records who participated in The Japan Environment and Children's Study from 2011 to 2014. PARTICIPANTS Pregnant women whose children had undergone developmental testing were included in this analysis. PRIMARY AND SECONDARY OUTCOME MEASURES Neurodevelopment of offspring was assessed using the Japanese version of the Ages and Stages Questionnaire, third edition, comprising five developmental domains. The number of comorbidities among the pregnant women was categorised as zero, single disease or multimorbidity (two or more diseases). Maternal chronic conditions included in multimorbidity were defined as conditions with high prevalence among women of reproductive age. A multivariate logistic regression analysis was conducted to examine the association between multimorbidity in pregnant women and offspring development. RESULTS Pregnant women with multimorbidity, single disease and no disease accounted for 3.6%, 30.6% and 65.8%, respectively. The ORs for neurodevelopmental impairment during the follow-up period were similar for infants of mothers with no disease comorbidity and those with a single disease comorbidity. However, the ORs for neurodevelopmental impairment were significantly higher for children born to mothers with multimorbidity compared with those born to healthy mothers. CONCLUSION An association was observed between the number of comorbidities in pregnant women and developmental delay in offspring. Multimorbidity in pregnant women may be associated with neurodevelopmental delay in their offspring. Further research is required in this regard in many other regions of the world.
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Affiliation(s)
- Takanobu Akagi
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Yasuaki Saijo
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Eiji Yoshioka
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Yukihiro Sato
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kentaro Nakanishi
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
| | - Yasuhito Kato
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
| | - Ken Nagaya
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
| | - Satoru Takahashi
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Yoshiya Ito
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
| | - Hiroyoshi Iwata
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takeshi Yamaguchi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Chihiro Miyashita
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Sachiko Ito
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - The Japan Environment and Children's Study group
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Michihiro Kamijima
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Shin Yamazaki
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Yukihiro Ohya
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Reiko Kishi
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Nobuo Yaegashi
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Koichi Hashimoto
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Chisato Mori
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Shuichi Ito
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Zentaro Yamagata
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hidekuni Inadera
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takeo Nakayama
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Tomotaka Sobue
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Masayuki Shima
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Seiji Kageyama
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Narufumi Suganuma
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Shoichi Ohga
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takahiko Katoh
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Japan
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
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Irfan A, Haider SH, Sheikh SM, Larik MO, Abbas M, Hashmi MR. Evaluation of antihypertensives for post partum management of hypertensive disorders of pregnancy: A systematic review and meta-analysis. Curr Probl Cardiol 2024; 49:102584. [PMID: 38679150 DOI: 10.1016/j.cpcardiol.2024.102584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND There is a lack of evidence that directly shows the best antihypertensive treatment options for post partum management of the hypertensive disorders of pregnancy. Our objective was to analyze the safest and most effective antihypertensive drugs post partum for patients with hypertensive disorders of pregnancy. METHODS PubMed, Cochrane, and MEDLINE were searched to find relevant articles published from inception to Feb 2024. We included randomized control trials, in English, featuring a population of postnatal women with hypertensive disorders of pregnancy or postpartum women with de novo hypertension with a follow-up of up to 6 months in which any antihypertensive medication was compared with Placebo or a comparison between different doses of antihypertensives was done. The statistical analyses were conducted using Review Manager with a random-effects model. RESULTS Our analysis revealed that almost all antihypertensives are effective in treating postpartum hypertension. However, some medications had alternating roles in controlling specific outcomes. Using calcium channel blockers resulted in a faster time to sustain BP control than the control (SMD: -0.37; 95% CI: -0.73 to -0.01; P = 0.04). In contrast, using ACE inhibitors or ARBs demanded the use of other antihypertensives in contrast to all other drugs assessed (RR: 2.09; 95% CI: 1.07 to 4.07; P = 0.03). CONCLUSION Timely management of the hypertensive disorders of pregnancy postpartum is life-saving. All the traditional antihypertensives we assessed effectively manage hypertension postpartum, thus allowing the physician to tailor the particular drug regimen according to the patient's needs and comorbidities without any hindrance.
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Affiliation(s)
- Areeka Irfan
- Department of Internal Medicine, Dow Medical College, Dow University of Health Sciences, V246+X8C, Mission Rd, Nanakwara, 74200 Karachi, Pakistan.
| | - Syed Hamza Haider
- Department of Internal Medicine, Dow Medical College, Dow University of Health Sciences, V246+X8C, Mission Rd, Nanakwara, 74200 Karachi, Pakistan
| | - Samir Mustafa Sheikh
- Department of Internal Medicine, Dow Medical College, Dow University of Health Sciences, V246+X8C, Mission Rd, Nanakwara, 74200 Karachi, Pakistan
| | - Muhammad Omar Larik
- Department of Internal Medicine, Dow International Medical College, Dow University of Health Sciences, W4WR+G6W, Gulzar-e-Hijri Gulshan-e-Iqbal, Karachi, Karachi City, Sindh, Pakistan
| | - Mudassir Abbas
- Department of Internal Medicine, Dow Medical College, Dow University of Health Sciences, V246+X8C, Mission Rd, Nanakwara, 74200 Karachi, Pakistan
| | - Mahnoor Rehan Hashmi
- Department of Internal Medicine, Dow Medical College, Dow University of Health Sciences, V246+X8C, Mission Rd, Nanakwara, 74200 Karachi, Pakistan
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7
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Zhang Y, Ding W, Dai X, Wang H, Cheng Y, Dai J, Zhu X, Xu X. Burden of multiple high-risk factors in pregnancy before and after the universal two-child policy in Chinese women: An observational study. J Glob Health 2024; 14:04134. [PMID: 39024620 PMCID: PMC11257705 DOI: 10.7189/jogh.14.04134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Abstract
Background The prevalence of high-risk pregnancy increased after the implementation of two-child policy in China, but the impact of this policy change on the burden and profile of multiple high-risk factors in pregnancy (MHFP) has been insufficiently explored. We hypothesised that the profile of MHFP might have changed after the two-child policy was implemented and aimed to estimate the prevalence, intercorrelation, and outcomes of MHFP before and after its introduction. Methods We obtained data on the population of pregnant women before (2015) and after (2020/2021) the implementation of universal two-child policy in Huai'an. We then included 33 risk factors in our analysis based on the Five-Colour Management framework and defined MHFP as an individual having two or more of these factors. We also estimated the changes of the prevalence of each single factor and their coexistence. Lastly, we performed a network analysis to assess the intercorrelations across these factors and used logistic regression models to evaluate MHFP-related pregnancy outcomes. Results We observed an increase in the prevalence of MHFP after the implementation of the universal two-child policy (25.8% in 2015 vs 38.4% in 2020/2021, P < 0.01). Chronic conditions (e.g. gestational diabetes mellitus, abnormal body mass index) had the largest increase among the included factors, while cardiovascular disease and hypertensive disorders were central factors of the network structures. The correlations of advanced maternal age with abnormal pregnancy histories and scarred uteri increased significantly from 2015 to 2020/2021. MHFP was associated with multiple pregnancy outcomes, including preterm birth (adjusted odds ratio (aOR) = 2.57; 95% confidence interval (CI) = 2.39-2.75), low birthweight (aOR = 2.77; 95% CI = 2.54-3.02), low Apgar score (aOR = 1.41; 95% CI = 1.19-1.67), perinatal death (aOR = 1.75; 95% CI = 1.44-2.12), and neonatal death (aOR = 1.76; 95% CI = 1.42-2.18). Moreover, an increasing number and certain combinations of MHFP were associated with higher odds of pregnancy outcomes. For example, the aOR of preterm birth increased from 1.67 (95% CI = 1.52-1.87) for one risk factor to 8.03 (95% CI = 6.99-9.22) for ≥4 risk factors. Conclusions Chinese women experienced a higher burden of multiple high-risk factors after the introduction of the two-child policy, particularly those with advanced maternal age, obesity, and chronic conditions. Strategies targeting chronic conditions for women with MHFP should be prioritised and a shift to a multiple-factor-oriented framework is needed in the expanding Chinese maternal health care system.
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Affiliation(s)
- Yue Zhang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Weijie Ding
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaochen Dai
- Department of Health Metrics Science, School of Medicine, University of Washington, Seattle, Washington, USA
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Hui Wang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Yangyang Cheng
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Jiyue Dai
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaoqin Zhu
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaolin Xu
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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8
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Younas S, Khanum S. Examining the Role of Stress and Team Support in Decision Making under Uncertainty and Time Pressure. MDM Policy Pract 2024; 9:23814683241273575. [PMID: 39224490 PMCID: PMC11367605 DOI: 10.1177/23814683241273575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 06/18/2024] [Indexed: 09/04/2024] Open
Abstract
Background. Previous research has examined the individual effects of uncertainty, time pressure, perceived stress, and team support on decision making. However, scant research has investigated how team support and perceived stress collectively influence providers' perception of decision conflict and satisfaction with decision. Objectives. The present study aims to fill this void by examining the potential mediating role of perceived stress and team support in the relationship between time pressure, uncertainty, decision satisfaction, and decision conflict. Methods. Obstetrics and gynecology (Obs and Gynae) physicians (N = 347) working in tertiary care hospitals were approached through snowball and purposive convenient sampling. Self-reported data were collected in the form of questionnaires. Results. Structural equation modeling was used to uncover the complex linkages. Perceived stress was found to be a significant mediator between uncertainty and decision conflict (b = -0.033, P < 0.05). In addition, team support was also found to be a significant mediator between uncertainty and decision satisfaction (b = 0.082, P < 0.05) as well as between time pressure and decision satisfaction (b = 0.086, P < 0.05). Conclusion. Team support acts as a bridge between uncertainty and decision satisfaction and also between time pressure and decision satisfaction, underscoring its critical role in provider perceptions of decision making in the Obs and Gynae context. Implications. This study highlights the significance of managing stress, enhancing team support, and giving priority to patient-centered care. These findings provide insights into risk and uncertainty management in medical decision making, advancing patient-centered care, and optimizing health care outcomes. Highlights Stressors in hospital settings such as the complexity and uncertainty of tasks create stress among physicians, potentially leading to decision conflicts.Team support plays a fundamental role in mitigating the negative effects of stressors such as time pressure and uncertainty.Implementing stress management and team support interventions such as cognitive-behavioral therapy and mindfulness may enhance decision making among Obs and Gynae physicians.
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Affiliation(s)
- Sana Younas
- Department of Behavioral Sciences, School of Social Sciences and Humanities, National University of Sciences and Technology, Islamabad, Pakistan
| | - Saeeda Khanum
- Department of Behavioral Sciences, School of Social Sciences and Humanities, National University of Sciences and Technology, Islamabad, Pakistan
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9
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Lovegrove E, Maidwell-Smith A, Stuart B, Santer M. Selective serotonin reuptake inhibitors (SSRIs) in women of reproductive age: a systematic review of local formularies. BJGP Open 2024; 8:BJGPO.2023.0255. [PMID: 38272494 PMCID: PMC11300978 DOI: 10.3399/bjgpo.2023.0255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/17/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Depression is the second most common chronic condition affecting women of reproductive age; 23.4% of women enter pregnancy with depression and use of selective serotonin reuptake inhibitors (SSRIs) in pregnancy is often necessary for maternal wellbeing. However, SSRI use during pregnancy can cause congenital malformations, postpartum haemorrhage (PPH), and persistent pulmonary hypertension of the newborn (PPHN). In UK primary care, prescribing formularies are one medium by which prescribers are provided with local medicines advice. AIM To review all local prescribing formularies with respect to prescribing SSRIs in women of reproductive age, during pregnancy, and during breastfeeding. DESIGN & SETTING A systematic review of prescribing formularies in England and Wales. METHOD A systematic keyword search of all clinical commissioning group and Integrated Care Board websites in England and Local Health Board websites in Wales was undertaken between December 2021-22 to identify prescribing formularies. Data were extracted on prescribing guidance for SSRIs. RESULTS Seventy-four prescribing formularies were reviewed. Of these, 14.9% (n = 11/74) provided links to the Medicines and Healthcare products Regulatory Agency guidance on congenital abnormalities associated with SSRIs, 28.4% (n = 21/74) provided links to guidance on PPH risk, and 1.4% (n = 1/74) provided links to guidance on PPHN. Specific local guidance was given on SSRI prescribing for women of reproductive age, during pregnancy, and during breastfeeding in 12.2% (n = 9/74), 23.0% (n = 17/74), and 21.6% (n = 16/74) of formularies, respectively. CONCLUSION Our results suggest that prescribers may be poorly informed by local formularies about the risks of SSRI use around pregnancy. This could place babies at increased risk of unintentional SSRI exposure.
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Affiliation(s)
| | | | - Beth Stuart
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Miriam Santer
- Primary Care Research Centre, University of Southampton, Southampton, UK
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10
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Hanley SJ, McCann S, Lee SI, Vowles Z, Plachcinski R, Nirantharakumar K, Black M, Locock L, Taylor B. Lost in the System: Responsibilisation and Burden for Women With Multiple Long-Term Health Conditions During Pregnancy. Health Expect 2024; 27:e14104. [PMID: 38872453 PMCID: PMC11176589 DOI: 10.1111/hex.14104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/23/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024] Open
Abstract
INTRODUCTION Over a fifth of pregnant women are living with multiple long-term health conditions, which is associated with increased risks of adverse outcomes for mothers and infants. While there are many examples of research exploring individuals' experiences and care pathways for pregnancy with a single health condition, evidence relating to multiple health conditions is limited. This study aimed to explore experiences and care of women with multiple long-term health conditions around the time of pregnancy. METHODS Semistructured interviews were conducted between March 2022 and May 2023 with women with multiple long-term health conditions who were at least 28 weeks pregnant or had had a baby in the last 2 years, and healthcare professionals with experience of caring for these women. Participants were recruited from across the United Kingdom. Data were analysed using thematic analysis. RESULTS Fifty-seven women and 51 healthcare professionals participated. Five themes were identified. Women with long-term health conditions and professionals recognised that it takes a team to avoid inconsistent care and communication, for example, medication management. Often, women were required to take a care navigation role to link up their healthcare providers. Women described mixed experiences regarding care for their multiple identities and the whole person. Postnatally, women and professionals recognised a downgrade in care, particularly for women's long-term health conditions. Some professionals detailed the importance of engaging with women's knowledge, and recognising their own professional boundaries of expertise. Many participants described difficulties in providing informational continuity and subsequent impacts on care. Specifically, the setup of care systems made it difficult for everyone to access necessary information, especially when care involved multiple sites. CONCLUSION Pregnant women with long-term health conditions can experience a substantial burden of responsibility to maintain communication with their care team, often feeling vulnerable, patronised, and let down by a lack of acknowledgement of their expertise. These results will be used to inform the content of coproduction workshops aimed at developing a list of care recommendations for affected women. It will also inform future interventional studies aimed at improving outcomes for these women and their babies. PATIENT OR PUBLIC CONTRIBUTION Our Patient and Public Involvement group were involved in the design of the study and the analysis and interpretation of the data, and a public study investigator was part of the author group.
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Affiliation(s)
- Stephanie J. Hanley
- Institute of Applied Health ResearchUniversity of BirminghamBirminghamWest MidlandsUK
| | - Sharon McCann
- Health Services Research UnitUniversity of AberdeenAberdeenAberdeenshireUK
| | - Siang Ing Lee
- Institute of Applied Health ResearchUniversity of BirminghamBirminghamWest MidlandsUK
| | - Zoe Vowles
- Department of Women and Children's HealthGuy's and St. Thomas' NHS Foundation TrustLondonUK
| | - Rachel Plachcinski
- Institute of Applied Health ResearchUniversity of BirminghamBirminghamWest MidlandsUK
| | - Krish Nirantharakumar
- Institute of Applied Health ResearchUniversity of BirminghamBirminghamWest MidlandsUK
| | - Mairead Black
- Aberdeen Centre for Women's Health ResearchUniversity of AberdeenAberdeenAberdeenshireUK
| | - Louise Locock
- Health Services Research UnitUniversity of AberdeenAberdeenAberdeenshireUK
| | - Beck Taylor
- Department of Health SciencesUniversity of WarwickWarwickWest MidlandsUK
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11
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Thunbo MØ, Vendelbo JH, Witte DR, Larsen A, Pedersen LH. Use of medication in pregnancy on the rise: Study on 1.4 million Danish pregnancies from 1998 to 2018. Acta Obstet Gynecol Scand 2024; 103:1210-1223. [PMID: 38491733 PMCID: PMC11103131 DOI: 10.1111/aogs.14805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/02/2024] [Accepted: 01/30/2024] [Indexed: 03/18/2024]
Abstract
INTRODUCTION Maternal demographics have evolved, and more women than ever enter pregnancy with preexisting comorbidity and with potentially complex medication exposure, including polypharmacy (concomitant intake of multiple medications). This study aims to describe the evolution of medication use in pregnancy in Denmark from 1998 to 2018 with special focus on polypharmacy, patterns of use, and underlying demographics. MATERIAL AND METHODS A Danish nationwide historical registry study based on all clinically recognized pregnancies with a gestation ≥10 weeks between 1998 and 2018. Medication use was estimated by redemption of prescriptions during pregnancy. RESULTS Among a total of 1 402 327 clinically recognized pregnancies, redemption of at least one prescription medication during pregnancy increased from 56.9% in 1998 to 63.3% in 2018, coinciding with an increased use of polypharmacy (from 24.8% in 1998 to 35.2% in 2018). The prevalence of pregnant women who used medications for chronic conditions increased more than the prevalence of women treated for occasional or short-time conditions. Redemption of one or multiple prescription medications during pregnancy was mostly seen among pregnant women ≥35 years of age. However, pregnant women <25 years old exhibited the largest increase in medication use during the study period. CONCLUSIONS Medication use in general, and polypharmacy in particular, increased from 1998 to 2008, possibly as the result of an increased prevalence of pregnant women with chronic conditions requiring pharmacological treatment. Notably, a marked maternal age-based discrepancy in usage pattern was observed, highlighting the need for further research in this area. The rise in the prevalence of polypharmacy during pregnancy underscores the need for pharmacovigilance to monitor adverse effects. Future studies should investigate the patterns of polypharmacy and the accompanying maternal and fetal risks.
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Affiliation(s)
| | | | - Daniel R. Witte
- Department of Public HealthAarhus UniversityAarhusDenmark
- Steno Diabetes Center AarhusAarhus University HospitalAarhusDenmark
| | - Agnete Larsen
- Department of BiomedicineAarhus UniversityAarhusDenmark
| | - Lars Henning Pedersen
- Department of Clinical MedicineAarhus UniversityAarhusDenmark
- Department of BiomedicineAarhus UniversityAarhusDenmark
- Department of Obstetrics and GynecologyAarhus University HospitalAarhusDenmark
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12
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Bestman PL, Kolleh EM, Moeng E, Brhane T, Nget M, Luo J. Association between multimorbidity of pregnancy and adverse birth outcomes: A systemic review and meta-analysis. Prev Med 2024; 180:107872. [PMID: 38272269 DOI: 10.1016/j.ypmed.2024.107872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/18/2023] [Accepted: 01/18/2024] [Indexed: 01/27/2024]
Abstract
Multimorbidity (≥2 co-existing conditions) in pregnancy is a significant public health issue with a rising prevalence worldwide. However, the association between pregnancy multimorbidity and adverse birth outcomes is unclear. So, this review assessed the association between pregnancy-multimorbidity and adverse birth outcomes (preterm birth, abnormal birth weight, neonatal mortality, and stillbirth). Relevant peer-reviewed papers in PubMed, Web of Science, Elsevier/ScienceDirect, and Google Scholar were systematically search from January 1990 to March 2023. We used the random-effects model to calculate the multimorbidity pooled odds ratio, quantified heterogeneity using I2 statistics, and performed subgroup and sensitivity analyses in Stata version 17. The review protocol is registered with PROSPERO (CRD42023421336). The meta-analysis included 21 observational studies involving 6,523,741 pregnant women. The overall pooled odds of pregnancy multimorbidity associated with adverse birth outcomes were 3.11(2.14-4.09), 3.76(2.56-4.96) in Europe, 3.38(1.18-5.58) in North America, and 2.94(0.78-5.09) in Asia. Pregnant women with psychological and physical multimorbidity had increased odds of 5.65(1.71-9.59) and 2.75(1.71-9.58), respectively, for adverse birth outcomes. Pregnancy multimorbidity was associated with preterm birth 4.28(2.23-6.34), large gestational age (>90 percentile) 3.33(1.50-5.17), macrosomia (≥4000 g) 2.16(0.34-3.98), and small gestational age (<10th percentile) 3.52(1.54-5.51). There is substantial variance in the odds of pregnancy multimorbidity by type of comorbidity and type of adverse birth outcome, attributed to differences in the healthcare system by geographical location. Therefore, prioritizing pregnant women with multimorbidity is crucial for effective and integrative interventions.
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Affiliation(s)
- Prince L Bestman
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Edwina M Kolleh
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Eva Moeng
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Tesfit Brhane
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Musa Nget
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Jiayou Luo
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China.
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13
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Brown HK, Fung K, Cohen E, Dennis CL, Grandi SM, Rosella LC, Varner C, Vigod SN, Wodchis WP, Ray JG. Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis. Paediatr Perinat Epidemiol 2024; 38:111-120. [PMID: 37864500 DOI: 10.1111/ppe.13016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/10/2023] [Accepted: 10/13/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND Adults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce. OBJECTIVES To estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC. METHODS We conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit. RESULTS Among 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus. CONCLUSIONS MCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.
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Affiliation(s)
- Hilary K Brown
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | - Eyal Cohen
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Hospital for Sick Children, Toronto, Ontario, Canada
- Edwin S.H. Leong Centre for Healthy Children, Toronto, Ontario, Canada
- Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Cindy-Lee Dennis
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Sonia M Grandi
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Hospital for Sick Children, Toronto, Ontario, Canada
- Edwin S.H. Leong Centre for Healthy Children, Toronto, Ontario, Canada
| | - Laura C Rosella
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
- Department of Laboratory, Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Catherine Varner
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Simone N Vigod
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Walter P Wodchis
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
| | - Joel G Ray
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
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14
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Jost E, Kosian P, Greiner GG, Icks A, Schmitz MT, Schmid M, Merz WM. Obstetric Medicine: the protocol for a prospective three-dimensional cohort study to assess maternity care for women with pre-existing conditions (ForMaT). Front Med (Lausanne) 2024; 10:1258716. [PMID: 38274449 PMCID: PMC10808351 DOI: 10.3389/fmed.2023.1258716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024] Open
Abstract
Background Pregnancies in women with pre-existing medical conditions are on the rise. These pregnancies are characterized by an increased rate of maternal and perinatal complications, which can result in higher health care expenditures and altered pregnancy experiences. The purpose of this study is to integrally analyze maternity care for women with pre-existing conditions in the framework of a risk-adapted, interdisciplinary care by recording three substantial parts of maternity care: (1) maternal and perinatal outcome; (2) hospital costs and reimbursements covering the period from preconception counseling or initial antenatal visit to discharge after birth; and (3) women's experience of reproductive choice and becoming a mother in the presence of a pre-existing condition. Methods In this observational, prospective, longitudinal, and monocentric cohort study, we aim to include a total of 1,500 women over a recruitment period of 15 months. Women registering for care at the Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Germany, are allocated to three groups based on their health and risk status: women with pre-existing conditions, as well as healthy women with obstetric risk factor and healthy women with a low-risk pregnancy. Participants are observed from time of initial consultation until discharge after birth. Analysis focuses on (1) maternal and perinatal outcome, especially rate of severe maternal and neonatal morbidity; (2) costs and reimbursements; and (3) surveys to capture of women's experience and health-related quality of life during the time of reproductive choice, pregnancy, and childbirth in the presence of pre-existing medical conditions. Discussion With its complex three-dimensional design, the ForMaT-Trial is aiming to provide a comprehensive analysis of pregnancy and childbirth in women with pre-existing conditions. The results may serve as a basis for counseling and care of these women. By analyzing costs of specialized care, data for discussing reimbursement are generated. Lastly, our results may increase awareness for the perception of reproductive choice, pregnancy and motherhood in this continuously rising population.Clinical trial registration: German Clinical Trials Register, DRKS00030061, October 28, 2022.
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Affiliation(s)
- Elena Jost
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Philipp Kosian
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Gregory Gordon Greiner
- Institute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany
- Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research Germany, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Andrea Icks
- Institute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany
- Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research Germany, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Marie-Therese Schmitz
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Waltraut M. Merz
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
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15
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Magavern EF, Smedley D, Caulfield MJ. Factor V Leiden, estrogen, and multimorbidity association with venous thromboembolism in a British-South Asian cohort. iScience 2023; 26:107795. [PMID: 37810217 PMCID: PMC10550715 DOI: 10.1016/j.isci.2023.107795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/06/2023] [Accepted: 08/29/2023] [Indexed: 10/10/2023] Open
Abstract
Multimorbidity, estrogen use, and Factor V Leiden (FVL) are known independent risk factors for venous thromboembolism (VTE). This cross-sectional analysis of women in the Genes & Health British-South Asian cohort (N 20,048) linked the F5 SNP rs6025 with estrogen prescribing data and VTE events. Multivariable logistic regression was used to test the association between estrogen use, FVL, common medical co-morbidities, and VTE. Estrogens were prescribed to 30% of women. 3% of participants were FVL carriers. 439 participants had a VTE event (2.2%), and VTE prevalence increased with obesity, hypertension, dyslipidemia, chronic kidney disease, estrogen use, and in the presence of FVL. One medical condition above was independently associated with VTE with an OR 1.6 (CI 1.2-2.0, p 0.001); two medical conditions OR 2.7 (CI 2.0-3.7, p < 0.001); three OR 5.3 (CI 3.8-7.4, p < 0.001); four OR 8.1 (CI 4.9-13.0, p < 0.001). Multimorbidity and FVL compound risk of VTE with estrogen use.
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Affiliation(s)
- Emma F. Magavern
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | | | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Mark J. Caulfield
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
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16
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Subramanian A, Lee SI, Hemali Sudasinghe SPB, Wambua S, Phillips K, Singh M, Azcoaga-Lorenzo A, Cockburn N, Wang J, Fagbamigbe A, Usman M, Damase-Michel C, Yau C, Kent L, McCowan C, OReilly D, Santorelli G, Hope H, Kennedy J, Mhereeg M, Abel KM, Eastwood KA, Black M, Loane M, Moss N, Brophy S, Brocklehurst P, Dolk H, Nelson-Piercy C, Nirantharakumar K. Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy: a signal detection study protocol. BMJ Open 2023; 13:e073162. [PMID: 37813531 PMCID: PMC10565241 DOI: 10.1136/bmjopen-2023-073162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
INTRODUCTION Considering the high prevalence of polypharmacy in pregnant women and the knowledge gap in the risk-benefit safety profile of their often-complex treatment plan, more research is needed to optimise prescribing. In this study, we aim to detect adverse and protective effect signals of exposure to individual and pairwise combinations of medications during pregnancy. METHODS AND ANALYSIS Using a range of real-world data sources from the UK, we aim to conduct a pharmacovigilance study to assess the safety of medications prescribed during the preconception period (3 months prior to conception) and first trimester of pregnancy. Women aged between 15 and 49 years with a record of pregnancy within the Clinical Practice Research Datalink (CPRD) Pregnancy Register, the Welsh Secure Anonymised Information Linkage (SAIL), the Scottish Morbidity Record (SMR) data sets and the Northern Ireland Maternity System (NIMATS) will be included. A series of case control studies will be conducted to estimate measures of disproportionality, detecting signals of association between a range of pregnancy outcomes and exposure to individual and combinations of medications. A multidisciplinary expert team will be invited to a signal detection workshop. By employing a structured framework, signals will be transparently assessed by each member of the team using a questionnaire appraising the signals on aspects of temporality, selection, time and measurement-related biases and confounding by underlying disease or comedications. Through group discussion, the expert team will reach consensus on each of the medication exposure-outcome signal, thereby excluding spurious signals, leaving signals suggestive of causal associations for further evaluation. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Independent Scientific Advisory Committee, SAIL Information Governance Review Panel, University of St. Andrews Teaching and Research Ethics Committee and Office for Research Ethics Committees Northern Ireland (ORECNI) for access and use of CPRD, SAIL, SMR and NIMATS data, respectively.
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Affiliation(s)
| | - Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Steven Wambua
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Katherine Phillips
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, Fife, UK
- Hospital Rey Juan Carlos. Research Network on Chronicity, Primary Care and Health Promotion-RICAPPS (RICORS), Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Madrid, Spain
| | - Neil Cockburn
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jingya Wang
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Adeniyi Fagbamigbe
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, Fife, UK
- Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria
| | - Muhammad Usman
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, Fife, UK
| | - Christine Damase-Michel
- Medical and Clinical Pharmacology, School of Medicine, Université Toulouse III, Toulouse, France
- Center for Epidemiology and Research in Population Health (CERPOP), INSERM, Toulouse, France
| | - Christopher Yau
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Lisa Kent
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Colin McCowan
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, Fife, UK
| | - Dermot OReilly
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | | | - Holly Hope
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, University of Manchester, Manchester, UK
| | | | | | - Kathryn Mary Abel
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, University of Manchester, Manchester, UK
- Manchester Mental Health & Social Care Trust, Manchester, UK
| | - Kelly-Ann Eastwood
- Centre for Public Health, Queen's University Belfast, Belfast, UK
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Mairead Black
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Maria Loane
- The Institute of Nursing and Health Research, University of Ulster, Belfast, UK
| | | | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Peter Brocklehurst
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Helen Dolk
- The Institute of Nursing and Health Research, University of Ulster, Belfast, UK
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17
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Azcoaga-Lorenzo A, Fagbamigbe AF, Agrawal U, Black M, Usman M, Lee SI, Eastwood KA, Moss N, Plachcinski R, Nelson-Piercy C, Brophy S, O'Reilly D, Nirantharakumar K, McCowan C. Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study. BMC Med 2023; 21:352. [PMID: 37697325 PMCID: PMC10496247 DOI: 10.1186/s12916-023-03058-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 08/29/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Multimorbidity is common in women across the life course. Preterm birth is the single biggest cause of neonatal mortality and morbidity. We aim to estimate the prevalence of multimorbidity in pregnant women and to examine the association between maternal multimorbidity and PTB. METHODS This is a retrospective cohort study using electronic health records from the Scottish Morbidity Records. All pregnancies among women aged 15 to 49 with a conception date between 1 January 2014 and 31 December 2018 were included. Multimorbidity was defined as the presence of two or more pre-existing long-term physical or mental health conditions, and complex multimorbidity as the presence of four or more. It was calculated at the time of conception using a predefined list of 79 conditions published by the MuM-PreDiCT consortium. PTB was defined as babies born alive between 24 and less than 37 completed weeks of gestation. We used Generalised Estimating Equations adjusted for maternal age, socioeconomic status, number of previous pregnancies, BMI, and smoking history to estimate the effect of maternal pre-existing multimorbidity. Absolut rates are reported in the results and tables, whilst Odds Ratios (ORs) are adjusted (aOR). RESULTS Thirty thousand five hundred fifty-seven singleton births from 27,711 pregnant women were included in the analysis. The prevalence of pre-existing multimorbidity and complex multimorbidity was 16.8% (95% CI: 16.4-17.2) and 3.6% (95% CI: 3.3-3.8), respectively. The prevalence of multimorbidity in the youngest age group was 10.2%(95% CI: 8.8-11.6), while in those 40 to 44, it was 21.4% (95% CI: 18.4-24.4), and in the 45 to 49 age group, it was 20% (95% CI: 8.9-31.1). In women without multimorbidity, the prevalence of PTB was 6.7%; it was 11.6% in women with multimorbidity and 15.6% in women with complex multimorbidity. After adjusting for maternal age, socioeconomic status, number of previous pregnancies, Body Mass Index (BMI), and smoking, multimorbidity was associated with higher odds of PTB (aOR = 1.64, 95% CI: 1.48-1.82). CONCLUSIONS Multimorbidity at the time of conception was present in one in six women and was associated with an increased risk of preterm birth. Multimorbidity presents a significant health burden to women and their offspring. Routine and comprehensive evaluation of women with multimorbidity before and during pregnancy is urgently needed.
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Affiliation(s)
- Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK.
- Hospital Rey Juan Carlos, Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Madrid, Spain.
- Research Network On Chronicity, Primary Care and Prevention and Health Promotion, (ISCIII), Madrid, Spain.
| | - Adeniyi Francis Fagbamigbe
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK
| | - Utkarsh Agrawal
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Mairead Black
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Muhammad Usman
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
| | - Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kelly-Ann Eastwood
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
- St Michael's Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Ngawai Moss
- Patient and Public Representative, London, UK
| | | | | | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | | | - Colin McCowan
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
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18
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Fang NW, Huang YS, Yin CH, Chen JS, Chiou YH. Maternal risk factors in offspring with congenital anomalies of the kidney and urinary tract in Asian women. Pediatr Nephrol 2023; 38:3065-3070. [PMID: 37052690 DOI: 10.1007/s00467-023-05954-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/16/2023] [Accepted: 03/16/2023] [Indexed: 04/14/2023]
Abstract
BACKGROUND Congenital anomalies of the kidney and urinary tract (CAKUT) are the primary cause of pediatric chronic kidney disease. Maternal body mass index (BMI) before pregnancy, pregestational diabetic mellitus (DM), and gestational diabetic mellitus (GDM) are potential modifiable risk factors for CAKUT in offspring. METHODS In this case control study, 4619 neonates were enrolled during 2012-2020 from Kaohsiung Veterans General Hospital in Taiwan. Maternal risk factors before and during pregnancy were compared in children with and without CAKUT. The yearly incidence of CAKUT in offspring and maternal overweight were recorded. RESULTS In total, 73 (1.6%) cases of CAKUT in offspring were identified. Maternal overweight before pregnancy (BMI ≥ 24 kg/m2) was an independent risk factor for CAKUT in offspring. No associations of pregestational DM and GDM with CAKUT in offspring were observed. The incidence rates of CAKUT and maternal obesity have increased in the past 10 years. CONCLUSIONS Maternal obesity before pregnancy is associated with CAKUT in offspring and should be addressed to ensure better outcomes. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Nai-Wen Fang
- Division of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Department of Pediatrics, Pingtung Veterans General Hospital, Pingtung, Taiwan
| | - Yu-Shan Huang
- Division of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Chun-Hao Yin
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Jin-Shuen Chen
- Department of Administration, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Yee-Hsuan Chiou
- Division of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
- Department of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung, Taiwan.
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19
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Lee SI, Hanley S, Vowles Z, Plachcinski R, Moss N, Singh M, Gale C, Fagbamigbe AF, Azcoaga-Lorenzo A, Subramanian A, Taylor B, Nelson-Piercy C, Damase-Michel C, Yau C, McCowan C, O'Reilly D, Santorelli G, Dolk H, Hope H, Phillips K, Abel KM, Eastwood KA, Kent L, Locock L, Loane M, Mhereeg M, Brocklehurst P, McCann S, Brophy S, Wambua S, Hemali Sudasinghe SPB, Thangaratinam S, Nirantharakumar K, Black M. The development of a core outcome set for studies of pregnant women with multimorbidity. BMC Med 2023; 21:314. [PMID: 37605204 PMCID: PMC10441728 DOI: 10.1186/s12916-023-03013-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/27/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Heterogeneity in reported outcomes can limit the synthesis of research evidence. A core outcome set informs what outcomes are important and should be measured as a minimum in all future studies. We report the development of a core outcome set applicable to observational and interventional studies of pregnant women with multimorbidity. METHODS We developed the core outcome set in four stages: (i) a systematic literature search, (ii) three focus groups with UK stakeholders, (iii) two rounds of Delphi surveys with international stakeholders and (iv) two international virtual consensus meetings. Stakeholders included women with multimorbidity and experience of pregnancy in the last 5 years, or are planning a pregnancy, their partners, health or social care professionals and researchers. Study adverts were shared through stakeholder charities and organisations. RESULTS Twenty-six studies were included in the systematic literature search (2017 to 2021) reporting 185 outcomes. Thematic analysis of the focus groups added a further 28 outcomes. Two hundred and nine stakeholders completed the first Delphi survey. One hundred and sixteen stakeholders completed the second Delphi survey where 45 outcomes reached Consensus In (≥70% of all participants rating an outcome as Critically Important). Thirteen stakeholders reviewed 15 Borderline outcomes in the first consensus meeting and included seven additional outcomes. Seventeen stakeholders reviewed these 52 outcomes in a second consensus meeting, the threshold was ≥80% of all participants voting for inclusion. The final core outcome set included 11 outcomes. The five maternal outcomes were as follows: maternal death, severe maternal morbidity, change in existing long-term conditions (physical and mental), quality and experience of care and development of new mental health conditions. The six child outcomes were as follows: survival of baby, gestational age at birth, neurodevelopmental conditions/impairment, quality of life, birth weight and separation of baby from mother for health care needs. CONCLUSIONS Multimorbidity in pregnancy is a new and complex clinical research area. Following a rigorous process, this complexity was meaningfully reduced to a core outcome set that balances the views of a diverse stakeholder group.
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Affiliation(s)
- Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Stephanie Hanley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Zoe Vowles
- Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | - Ngawai Moss
- Patient and public representative, London, UK
| | - Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Chris Gale
- Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Adeniyi Francis Fagbamigbe
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
- Hospital Rey Juan Carlos, Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Madrid, Spain
| | | | - Beck Taylor
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Christine Damase-Michel
- Medical and Clinical Pharmacology, School of Medicine, Université Toulouse III, Toulouse, France
- Center for Epidemiology and Research in Population Health (CERPOP), INSERM, Toulouse, France
| | - Christopher Yau
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Health Data Research UK, London, UK
| | - Colin McCowan
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | | | - Helen Dolk
- Centre for Maternal, Fetal and Infant Research, Ulster University, Belfast, UK
| | - Holly Hope
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
| | - Katherine Phillips
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kathryn M Abel
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Kelly-Ann Eastwood
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
- St Michael's Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Lisa Kent
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | - Louise Locock
- Health Services Research Unit, Health Sciences Building, Foresterhill, University of Aberdeen, Aberdeen, UK
| | - Maria Loane
- The Institute of Nursing and Health Research, Ulster University, Newtownabbey, UK
| | - Mohamed Mhereeg
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Peter Brocklehurst
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sharon McCann
- Health Services Research Unit, Health Sciences Building, Foresterhill, University of Aberdeen, Aberdeen, UK
| | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Steven Wambua
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Mairead Black
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
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Lee SI, Hanley S, Vowles Z, Plachcinski R, Azcoaga-Lorenzo A, Taylor B, Nelson-Piercy C, McCowan C, O'Reilly D, Hope H, Abel KM, Eastwood KA, Locock L, Singh M, Moss N, Brophy S, Nirantharakumar K, Thangaratinam S, Black M. Key outcomes for reporting in studies of pregnant women with multiple long-term conditions: a qualitative study. BMC Pregnancy Childbirth 2023; 23:551. [PMID: 37528358 PMCID: PMC10391909 DOI: 10.1186/s12884-023-05773-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 06/10/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Maternal multiple long-term conditions are associated with adverse outcomes for mother and child. We conducted a qualitative study to inform a core outcome set for studies of pregnant women with multiple long-term conditions. METHODS Women with two or more pre-existing long-term physical or mental health conditions, who had been pregnant in the last five years or planning a pregnancy, their partners and health care professionals were eligible. Recruitment was through social media, patients and health care professionals' organisations and personal contacts. Participants who contacted the study team were purposively sampled for maximum variation. Three virtual focus groups were conducted from December 2021 to March 2022 in the United Kingdom: (i) health care professionals (n = 8), (ii) women with multiple long-term conditions (n = 6), and (iii) women with multiple long-term conditions (n = 6) and partners (n = 2). There was representation from women with 20 different physical health conditions and four mental health conditions; health care professionals from obstetrics, obstetric/maternal medicine, midwifery, neonatology, perinatal psychiatry, and general practice. Participants were asked what outcomes should be reported in all studies of pregnant women with multiple long-term conditions. Inductive thematic analysis was conducted. Outcomes identified in the focus groups were mapped to those identified in a systematic literature search in the core outcome set development. RESULTS The focus groups identified 63 outcomes, including maternal (n = 43), children's (n = 16) and health care utilisation (n = 4) outcomes. Twenty-eight outcomes were new when mapped to the systematic literature search. Outcomes considered important were generally similar across stakeholder groups. Women emphasised outcomes related to care processes, such as information sharing when transitioning between health care teams and stages of pregnancy (continuity of care). Both women and partners wanted to be involved in care decisions and to feel informed of the risks to the pregnancy and baby. Health care professionals additionally prioritised non-clinical outcomes, including quality of life and financial implications for the women; and longer-term outcomes, such as children's developmental outcomes. CONCLUSIONS The findings will inform the design of a core outcome set. Participants' experiences provided useful insights of how maternity care for pregnant women with multiple long-term conditions can be improved.
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Affiliation(s)
- Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
| | - Stephanie Hanley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Zoe Vowles
- Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | - Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
| | - Beck Taylor
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Colin McCowan
- Division of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | - Holly Hope
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
| | - Kathryn M Abel
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Kelly-Ann Eastwood
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
- St Michael's Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Louise Locock
- Health Services Research Unit, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ngawai Moss
- Patient and public representative, London, UK
| | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | | | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Mairead Black
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
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21
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Zou X, Zou S, Guo Y, Peng D, Min H, Zhang R, Qin R, Mai J, Wu Y, Sun X. Association of smoking status and nicotine dependence with multi-morbidity in China: A nationally representative crosssectional study. Tob Induc Dis 2023; 21:81. [PMID: 37333503 PMCID: PMC10273826 DOI: 10.18332/tid/166110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/11/2023] [Accepted: 05/12/2023] [Indexed: 06/20/2023] Open
Abstract
INTRODUCTION Multi-morbidity is a public health priority as it is associated with an increased risk of mortality and a substantial healthcare burden. Smoking is considered a predisposing factor for multi-morbidity, but evidence for an association between multi-morbidity and nicotine dependence is insufficient. This study aimed to explore the association between smoking status, nicotine dependence, and multi-morbidity in China. METHODS We recruited 11031 Chinese citizens from 31 provinces in 2021 using a multistage stratified cluster sampling strategy to ensure the study population represented national population characteristics. The association between smoking status and multi-morbidity was analyzed using binary logistic regression and multinomial logit regression models. We then analyzed the associations between four kinds of smoking status (age at smoking initiation, cigarette consumption per day, smoking when ill in bed, and inability to control smoking in public places), nicotine dependence, and multi-morbidity among participants who were current smokers. RESULTS Compared with non-smokers, the odds of multi-morbidity were higher among ex-smokers (adjusted odd ratio, AOR=1.40, 95% CI: 1.07-1.85). The risk of multi-morbidity was greater in participants who were underweight/overweight/obese (AOR=1.90; 95% CI: 1.60-2.26) compared with those who were normal weight. and also greater for drinkers (AOR=1.34; 95% CI: 1.09-1.63) than non-drinkers. Compared with children who began smoking at the age of <15 years, participants aged >18 years had a lower likelihood of multi-morbidity (AOR=0.52; 95% CI: 0.32-0.83). People who consumed ≥31 cigarettes per day (AOR=3.77; 95% CI: 1.47-9.68) and those who smoked when ill in bed (AOR=1.70; 95% CI: 1.10-2.64) were more likely to have multi-morbidity. CONCLUSIONS Our findings show that smoking behavior, including initiation age, frequency of daily smoking, and still smoking during illness or in public, is a critical risk factor for multi-morbidity, especially when combined with alcohol consumption, physical inactivity, and abnormal weight (underweight, overweight, or obese). This highlights the crucial effect of smoking cessation in the prevention and control of multi-morbidity, especially in patients with three or more diseases. Implementing smoking and lifestyle interventions to promote health would both benefit adults and prevent the next generation from initiating habits that increase the risk of multi-morbidity.
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Affiliation(s)
- Xinye Zou
- Faculty of Education, University of Cambridge, Cambridge, United Kingdom
- School of Public Health, Peking University, Beijing, China
| | - Siyu Zou
- School of Public Health, Peking University, Beijing, China
| | - Yi Guo
- School of Public Health, Peking University, Beijing, China
| | - Di Peng
- School of Education, Qingdao Hengxing University of Science and Technology, Qingdao, China
| | - Hewei Min
- School of Public Health, Peking University, Beijing, China
| | - Ruolin Zhang
- Department of Natural and Applied Science, Duke Kunshan University, Jiangsu, China
| | - Ruiwen Qin
- College of Foreign Languages, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Jianrong Mai
- School of Public Health, Peking University, Beijing, China
- School of Nursing, Guangzhou Xinhua University, Guangzhou, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China
| | - Xinying Sun
- School of Public Health, Peking University, Beijing, China
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22
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Nakanishi K, Saijo Y, Yoshioka E, Sato Y, Kato Y, Nagaya K, Takahashi S, Ito Y, Kobayashi S, Miyashita C, Ikeda-Araki A, Kishi R. Association between maternal multimorbidity and preterm birth, low birth weight and small for gestational age: a prospective birth cohort study from the Japan Environment and Children's Study. BMJ Open 2023; 13:e069281. [PMID: 36921942 PMCID: PMC10030623 DOI: 10.1136/bmjopen-2022-069281] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVES Multimorbidity is defined as the coexistence of two or more chronic physical or psychological conditions within an individual. The association between maternal multimorbidity and adverse perinatal outcomes such as preterm delivery and low birth weight has not been well studied. Therefore, this study aimed to investigate this association. METHODS We conducted a prospective cohort study using data from the Japan Environment and Children's Study of pregnant women between 2011 and 2014. Those with data on chronic maternal conditions were included in the study and categorised as having no chronic condition, one chronic condition or multimorbidities. The primary outcomes were the incidence of preterm birth (PTB), low birth weight (LBW) and small for gestational age (SGA). Adjusted logistic regression was performed to estimate ORs (aORs) and 95% CIs. RESULTS Of the 104 062 fetal records, 86 885 singleton pregnant women were analysed. The median maternal age and body mass index were 31 years and 20.5 kg/m2, respectively. The prevalence of pregnant women with one or more chronic conditions was 40.2%. The prevalence of maternal multimorbidity was 6.3%, and that of PTB, LBW, and SGA were 4.6%, 8.1%, and 7.5%, respectively. Pre-pregnancy underweight women were the most common, observed in 15.6% of multimorbidity cases, followed by domestic violence from intimate partner in 13.0%. Maternal multimorbidity was significantly associated with PTB (aOR 1.50; 95% CI 1.33-1.69), LBW (aOR 1.49; 95% CI 1.35-1.63) and SGA (aOR 1.33; 95% CI 1.20-1.46). CONCLUSION Maternal multimorbidity was associated with adverse perinatal outcomes, including PTB, LBW and SGA. The risk of adverse perinatal outcomes tends to increase with a rise in the number of chronic maternal conditions. Multimorbidity becomes more prevalent among pregnant women, making our findings important for preconception counselling.
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Affiliation(s)
- Kentaro Nakanishi
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Yasuaki Saijo
- Division of Public Health and Epidemiology, Department of Social Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Eiji Yoshioka
- Division of Public Health and Epidemiology, Department of Social Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Yukihiro Sato
- Division of Public Health and Epidemiology, Department of Social Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Yasuhito Kato
- Department of Obstetrics and Gynecology, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
- Division of Public Health and Epidemiology, Department of Social Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Ken Nagaya
- Division of Neonatology, Perinatal Medical Center, Asahikawa Medical University Hospital, Asahikawa, Hokkaido, Japan
| | - Satoru Takahashi
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
| | - Yoshiya Ito
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Hokkaido, Japan
| | - Sumitaka Kobayashi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Chihiro Miyashita
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Atsuko Ikeda-Araki
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- Hokkaido Daigaku, Sapporo, Hokkaido, Japan
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- Hokkaido Daigaku, Sapporo, Japan
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23
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Anand A, Phillips K, Subramanian A, Lee SI, Wang Z, McCowan R, Agrawal U, Fagbamigbe AF, Nelson-Piercy C, Brocklehurst P, Damase-Michel C, Loane M, Nirantharakumar K, Azcoaga-Lorenzo A. Prevalence of polypharmacy in pregnancy: a systematic review. BMJ Open 2023; 13:e067585. [PMID: 36878655 PMCID: PMC9990613 DOI: 10.1136/bmjopen-2022-067585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 01/22/2023] [Indexed: 03/08/2023] Open
Abstract
OBJECTIVES The use of medications among pregnant women has been rising over the past few decades but the reporting of polypharmacy has been sporadic. The objective of this review is to identify literature reporting the prevalence of polypharmacy among pregnant women, the prevalence of multimorbidity in women taking multiple medications in pregnancy and associated effects on maternal and offspring outcomes. DESIGN MEDLINE and Embase were searched from their inception to 14 September 2021 for interventional trials, observational studies and systematic reviews reporting on the prevalence of polypharmacy or the use of multiple medications in pregnancy were included.Data on prevalence of polypharmacy, prevalence of multimorbidity, combinations of medications and pregnancy and offspring outcomes were extracted. A descriptive analysis was performed. RESULTS Fourteen studies met the review criteria. The prevalence of women being prescribed two or more medications during pregnancy ranged from 4.9% (4.3%-5.5%) to 62.4% (61.3%-63.5%), with a median of 22.5%. For the first trimester, prevalence ranged from 4.9% (4.7%-5.14%) to 33.7% (32.2%-35.1%). No study reported on the prevalence of multimorbidity, or associated pregnancy outcomes in women exposed to polypharmacy. CONCLUSION There is a significant burden of polypharmacy among pregnant women. There is a need for evidence on the combinations of medications prescribed in pregnancy, how this specifically affects women with multiple long-term conditions and the associated benefits and harms. TWEETABLE ABSTRACT Our systematic review shows significant burden of polypharmacy in pregnancy but outcomes for women and offspring are unknown. PROSPERO REGISTRATION NUMBER CRD42021223966.
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Affiliation(s)
- Astha Anand
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Katherine Phillips
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Zhaonan Wang
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Utkarsh Agrawal
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, UK
| | - Adeniyi Frances Fagbamigbe
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, UK
- Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | | | - Peter Brocklehurst
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Maria Loane
- Institute of Nursing and Health Research, University of Ulster, Belfast, UK
| | | | - Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, University of Saint Andrews School of Medicine, St. Andrews, UK
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24
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Lee SI, Hope H, O'Reilly D, Kent L, Santorelli G, Subramanian A, Moss N, Azcoaga-Lorenzo A, Fagbamigbe AF, Nelson-Piercy C, Yau C, McCowan C, Kennedy JI, Phillips K, Singh M, Mhereeg M, Cockburn N, Brocklehurst P, Plachcinski R, Riley RD, Thangaratinam S, Brophy S, Hemali Sudasinghe SPB, Agrawal U, Vowles Z, Abel KM, Nirantharakumar K, Black M, Eastwood KA. Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. BMJ Open 2023; 13:e068718. [PMID: 36828655 PMCID: PMC9972454 DOI: 10.1136/bmjopen-2022-068718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 02/07/2023] [Indexed: 02/26/2023] Open
Abstract
INTRODUCTION One in five pregnant women has multiple pre-existing long-term conditions in the UK. Studies have shown that maternal multiple long-term conditions are associated with adverse outcomes. This observational study aims to compare maternal and child outcomes for pregnant women with multiple long-term conditions to those without multiple long-term conditions (0 or 1 long-term conditions). METHODS AND ANALYSIS Pregnant women aged 15-49 years old with a conception date between 2000 and 2019 in the UK will be included with follow-up till 2019. The data source will be routine health records from all four UK nations (Clinical Practice Research Datalink (England), Secure Anonymised Information Linkage (Wales), Scotland routine health records and Northern Ireland Maternity System) and the Born in Bradford birth cohort. The exposure of two or more pre-existing, long-term physical or mental health conditions will be defined from a list of health conditions predetermined by women and clinicians. The association of maternal multiple long-term conditions with (a) antenatal, (b) peripartum, (c) postnatal and long-term and (d) mental health outcomes, for both women and their children will be examined. Outcomes of interest will be guided by a core outcome set. Comparisons will be made between pregnant women with and without multiple long-term conditions using modified Poisson and Cox regression. Generalised estimating equation will account for the clustering effect of women who had more than one pregnancy episode. Where appropriate, multiple imputation with chained equation will be used for missing data. Federated analysis will be conducted for each dataset and results will be pooled using random-effects meta-analyses. ETHICS AND DISSEMINATION Approval has been obtained from the respective data sources in each UK nation. Study findings will be submitted for publications in peer-reviewed journals and presented at key conferences.
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Affiliation(s)
- Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Holly Hope
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Lisa Kent
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Gillian Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | | | - Ngawai Moss
- Patient and Public Representative, London, UK
| | - Amaya Azcoaga-Lorenzo
- Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK
- Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Hospital Rey Juan Carlos, Mostoles, Spain
| | - Adeniyi Francis Fagbamigbe
- Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK
- Department of Epidemiology and Medical Statistics, University of Ibadan College of Medicine, Ibadan, Nigeria
| | | | - Christopher Yau
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Health Data Research UK, London, UK
| | - Colin McCowan
- Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK
| | | | - Katherine Phillips
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Mohamed Mhereeg
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Neil Cockburn
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Peter Brocklehurst
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Richard D Riley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, University of Birmingham Institute of Metabolism and Systems Research, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | | | - Utkarsh Agrawal
- Division of Population and Behavioural Sciences, University of St Andrews School of Medicine, St Andrews, UK
| | - Zoe Vowles
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Kathryn Mary Abel
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | | | - Mairead Black
- Aberdeen Centre for Women's Health Research, University of Aberdeen School of Medicine Medical Sciences and Nutrition, Aberdeen, UK
| | - Kelly-Ann Eastwood
- Centre for Public Health, Queen's University Belfast, Belfast, UK
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
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25
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Wambua S, Crowe F, Thangaratinam S, O'Reilly D, McCowan C, Brophy S, Yau C, Nirantharakumar K, Riley R. Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors. Diagn Progn Res 2022; 6:23. [PMID: 36536453 PMCID: PMC9761974 DOI: 10.1186/s41512-022-00137-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is a leading cause of death among women. CVD is associated with reduced quality of life, significant treatment and management costs, and lost productivity. Estimating the risk of CVD would help patients at a higher risk of CVD to initiate preventive measures to reduce risk of disease. The Framingham risk score and the QRISK® score are two risk prediction models used to evaluate future CVD risk in the UK. Although the algorithms perform well in the general population, they do not take into account pregnancy complications, which are well known risk factors for CVD in women and have been highlighted in a recent umbrella review. We plan to develop a robust CVD risk prediction model to assess the additional value of pregnancy risk factors in risk prediction of CVD in women postpartum. METHODS Using candidate predictors from QRISK®-3, the umbrella review identified from literature and from discussions with clinical experts and patient research partners, we will use time-to-event Cox proportional hazards models to develop and validate a 10-year risk prediction model for CVD postpartum using Clinical Practice Research Datalink (CPRD) primary care database for development and internal validation of the algorithm and the Secure Anonymised Information Linkage (SAIL) databank for external validation. We will then assess the value of additional candidate predictors to the QRISK®-3 in our internal and external validations. DISCUSSION The developed risk prediction model will incorporate pregnancy-related factors which have been shown to be associated with future risk of CVD but have not been taken into account in current risk prediction models. Our study will therefore highlight the importance of incorporating pregnancy-related risk factors into risk prediction modeling for CVD postpartum.
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Affiliation(s)
- Steven Wambua
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
| | - Francesca Crowe
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Dermot O'Reilly
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Colin McCowan
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Sinead Brophy
- Data Science, Medical School, Swansea University, Swansea, UK
| | - Christopher Yau
- Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF, UK
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Level 3 Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Health Data Research, London, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Richard Riley
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
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26
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Kelly L, Fitzpatrick R, Kurinczuk JJ, Rivero-Arias O, Alderdice F. Assessing the Validity of the Long-Term Conditions Questionnaire (LTCQ) in Women During Pregnancy and the First Year Following Birth. Patient Relat Outcome Meas 2022; 13:221-228. [PMID: 36285189 PMCID: PMC9588285 DOI: 10.2147/prom.s376070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/31/2022] [Indexed: 11/07/2022] Open
Abstract
Background The aim of this study was to validate a generic patient-reported outcome measure, the Long-Term Conditions Questionnaire (LTCQ), among pregnant and postpartum women living with a pre-existing long-term condition (LTC). Methods Cognitive interviews were conducted with women who were currently pregnant or had given birth within the past year and living with a pre-existing LTC (n=11) and with healthcare professionals working in maternal care (n=11) to explore the acceptability of LTCQ items. An online survey was subsequently administered among women who were pregnant or had given birth within the past year and living with a pre-existing LTC (n=718). Tests of validity were performed including assessing correlations between the LTCQ and reference measures, the Well-being in Pregnancy (WiP) Questionnaire and the EuroQol EQ-5D-5L. Internal consistency was assessed using the Cronbach's alpha statistic. Results All LTCQ items were considered relevant and appropriate for use with women who were pregnant or had given birth within the past year. The most commonly reported LTC among the online survey sample (n=718) was a mental health condition (n=350, 48.7%) followed by joint, bone and connective tissues (n= 212, 29.5%) and gastrointestinal (n=143, 19.9%) condition. Data indicated LTCQ scores behaved in a predictable pattern, demonstrating poorer scores for women reporting a greater number of LTCs; mean (SD) scores, one LTC= 61.86 (17.8), two LTCs= 55.29 (16.0), three LTCs= 49.84 (15.52) and four LTCs= 44.94 (12.2). Poorer scores were also reported for women living with at least one mental health condition compared to those reporting no mental health condition, mean score = 66.18 (SD 16.7) v 48.64 (SD 13.3), p<0.001 respectively. As anticipated, LTCQ scores demonstrated significant correlations in the expected direction with both the EQ-5D-5L and WiP scores. For all LTCQ items, the Cronbach's alpha statistic was 0.93. Conclusion Data presented here indicate that the LTCQ, which assesses living well with one or more LTC, is suitable for use among pregnant and postpartum women, from both the woman's perspective and from the perspectives of maternity healthcare professionals. Use of the LTCQ would facilitate the identification of unmet needs within this high-risk cohort and support the exploration of how LTCs may affect women throughout the pregnancy and post-natal period. Understanding unmet needs within this cohort of women provides an opportunity to link up specialist care within maternity services and enhance personalised care.
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Affiliation(s)
- Laura Kelly
- Health Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK,Harris Manchester College, University of Oxford, Oxford, UK
| | - Ray Fitzpatrick
- Health Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jennifer J Kurinczuk
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Oliver Rivero-Arias
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Alderdice
- Harris Manchester College, University of Oxford, Oxford, UK,NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK,Correspondence: Fiona Alderdice, NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Headington, Oxford, OX3 7LF, United Kingdom, Tel +44 0 1865617901, Email
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Jung J, Karwal EK, McDonald S, Turner T, Chou D, Vogel JP. Prevention and control of non-communicable diseases in antenatal, intrapartum, and postnatal care: a systematic scoping review of clinical practice guidelines since 2011. BMC Med 2022; 20:305. [PMID: 36123668 PMCID: PMC9487084 DOI: 10.1186/s12916-022-02508-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Non-communicable diseases (NCDs) are a leading cause of maternal mortality and morbidity worldwide. The World Health Organization is developing new recommendations focusing on the management of NCDs for pregnant, intrapartum, and postnatal women. Thus, to support the development of new guidelines and recommendations, we aimed to determine the availability, focus, and scope of recommendations of current guidelines for the management of NCDs during pregnancy, intrapartum, and postnatal period. METHODS PubMed, Global Index Medicus, TRIP, and Guideline International Network databases were searched on 31 May 2021, to identify any NCD-related guidelines published between 2011 and 2021 with no language or country restrictions. Websites of 165 professional organizations were also searched. Characteristics of included guidelines were analyzed, and recommendations were extracted from guidelines of five high-priority NCD conditions (diabetes, chronic hypertension, respiratory conditions, hemoglobinopathies and sickle cell disease, and mental and substance use disorders). RESULTS From 6026 citations and 165 websites, 405 guidelines were included of which 132 (33%) were pregnancy-specific and 285 (88%) were developed in high-income countries. Among pregnancy-specific guidelines, the most common conditions for which recommendations were provided were gestational diabetes, circulatory diseases, thyroid disorders, and hypertensive disorders of pregnancy. For the five high-priority conditions, 47 guidelines were identified which provided 1834 recommendations, largely focused on antenatal care interventions (62%) such as early detection, screening tools, pharmacological treatment, and lifestyle education. Postnatal recommendations largely covered postnatal clinical assessments, lifestyle education, and breastfeeding. Health system recommendations largely covered multidisciplinary care teams and strengthening referral pathways. CONCLUSIONS This study provides a robust assessment of currently available guidelines and mapping of recommendations on NCD management within maternal health services, which will inform the scope of the World Health Organization's future guideline development activities. This study identified a need to develop guidelines that consider NCDs holistically, with an integrated approach to antenatal, intrapartum, and postnatal care, and that are relevant for resource-limited contexts. Any such guidelines should consider what interventions are most essential to improving outcomes for women with NCDs and their newborns, and how variations in quality of NCD-related care can be addressed.
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Affiliation(s)
- Jenny Jung
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia. .,School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Eshreena K Karwal
- Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Tari Turner
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Doris Chou
- Department of Sexual and Reproductive Health and Research including UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland
| | - Joshua P Vogel
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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28
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Brown HK, McKnight A, Aker A. Association between pre-pregnancy multimorbidity and adverse maternal outcomes: A systematic review. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2022; 12:26335565221096584. [PMID: 35586034 PMCID: PMC9106308 DOI: 10.1177/26335565221096584] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective We reviewed the literature on the association between pre-pregnancy multimorbidity (co-occurrence of two or more chronic conditions) and adverse maternal outcomes in pregnancy and postpartum. Data sources Medline, EMBASE, and CINAHL were searched from inception to September, 2021. Study selection Observational studies were eligible if they reported on the association between ≥ 2 co-occurring chronic conditions diagnosed before conception and any adverse maternal outcome in pregnancy or within 365 days of childbirth, had a comparison group, were peer-reviewed, and were written in English. Data extraction and synthesis Two reviewers used standardized instruments to extract data and rate study quality and the certainty of evidence. A narrative synthesis was performed. Results Of 6,381 studies retrieved, seven met our criteria. There were two prospective cohort studies, two retrospective cohort studies, and 3 cross-sectional studies, conducted in the United States (n=6) and Canada (n=1), and ranging in size from n=3,110 to n=57,326,681. Studies showed a dose-response relation between the number of co-occurring chronic conditions and risk of adverse maternal outcomes, including severe maternal morbidity or mortality, hypertensive disorders of pregnancy, and acute health care use in the perinatal period. Study quality was rated as strong (n=1), moderate (n=4), or weak (n=2), and the certainty of evidence was very low to moderate. Conclusion Given the increasing prevalence of chronic disease risk factors such as advanced maternal age and obesity, more research is needed to understand the impact of pre-pregnancy multimorbidity on maternal health so that appropriate preconception and perinatal supports can be developed.
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Affiliation(s)
- Hilary K Brown
- Department of Health & Society, University of Toronto Scarborough, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Women's College Hospital, Toronto, ON, Canada
| | - Anthony McKnight
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Amira Aker
- Department of Health & Society, University of Toronto Scarborough, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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The sexual and reproductive health of women with mental illness: a primary care registry study. Arch Womens Ment Health 2022; 25:585-593. [PMID: 35366692 PMCID: PMC9072520 DOI: 10.1007/s00737-022-01214-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/11/2022] [Indexed: 11/09/2022]
Abstract
The purpose of this study is to characterise the sexual and reproductive health risks associated with mental illness among women. This was a retrospective cohort study of 2,680,149 women aged 14 to 45 years in the Clinical Practice Research Datalink, a UK primary care register, linked to 1,702,211 pregnancies that ended between the 1st January 1990 and 31st December 2017. Mental illness was identified in primary care and categorised into the following: common mental illness (depression/anxiety); addiction (alcohol/drug misuse); serious mental illness (affective/non-affective psychosis); other mental illness (eating/personality disorders). Logistic regression estimated the association between mental illness and subsequent risk of recurrent miscarriage and termination. Cox proportional hazards estimated the association between mental illness and time to gynaecological diseases, sexually transmitted infections, reproductive cancers, cervical screen, contraception and emergency contraception. Models were adjusted for calendar year, year of birth, smoking status and ethnicity, region and index of socioeconomic status. Compared to women without mental illness, exposed women were more likely to experience recurrent miscarriage (adjOR = 1.50, 95%CI 1.41 to 1.60), termination (adjOR = 1.48, 95%CI 1.45 to 1.50), gynaecological diseases (adjHR = 1.39, 95%CI 1.37 to 1.40), sexually transmitted infections (adjHR = 1.47, 95%CI 1.43 to 1.51), reproductive cancers (adjHR = 1.10, 95%CI 1.02 to 1.19), contraception (adjHR = 1.28 95%CI 1.26 to 1.29) and emergency contraception (adjHR = 2.30, 95%CI 2.26 to 2.34), and less likely to attend for cervical screening (adjHR = 0.91, 95%CI 0.90 to 0.92). Currently, the sexual and reproductive health needs of women with mental illness are unmet representing significant health inequalities. Clinicians must create opportunities to engage with women in primary care and mental health services to address this gap.
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