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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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Cao S, Dong F, Okekpe CC, Dombrovsky I, Valenzuela GJ, Roloff K. Common Combinations of Pregestational Diagnosis and Pregnancy Complications. Cureus 2021; 13:e19239. [PMID: 34877216 PMCID: PMC8642143 DOI: 10.7759/cureus.19239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 01/03/2023] Open
Abstract
Objective Single pregestational diagnoses have been demonstrated to be associated with pregnancy-related complications. But, the effect of multiple diagnoses is understudied. The objective of this study is to determine the most common combinations of pregestational diagnoses and to determine if specific combinations increase the risk of pregnancy-related complications. Study design We performed a cross-sectional study of the 2016 Healthcare Cost and Utilization Project’s National Inpatient Sample (HCUP NIS) database. Inclusion criteria were: Diagnosis-related groups assumed to be associated with delivery, and three or fewer International Classification of Diseases, Tenth Revision (ICD-10), clinical modification codes with a prevalence greater than or equal to 0.5%, or clinically important risk factors in Bateman’s co-morbidity index. Chi-squared analysis of combinations of pregestational diagnoses was performed to assess the relative risk of pregnancy-related complications. Results The 2016 database included 255,233 delivered pregnancies. The most common combinations of pregestational diagnoses involved advanced maternal age, prior cesarean delivery, obesity, and tobacco use. Most combinations did not demonstrate an increased risk for complications greater than the risk with a single diagnosis. In those with statistically significant risk, all were 3-fold or less except we noted a 4.4-fold higher risk (95% CI: 3.16-6.15) of preeclampsia in obese patients of advanced maternal age compared to patients who were only of advanced maternal age. Conclusion Our results revealed that common combinations of pregestational diagnoses, in general, do not increase the risk for common pregnancy-related complications greater than the risk with a single diagnosis. This is reassuring, given that women entering pregnancy with multiple co-morbidities are becoming more common.
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Affiliation(s)
- Suzanne Cao
- Department of Women's Health, Arrowhead Regional Medical Center, Colton, USA
| | - Fanglong Dong
- Graduate College of Biomedical Sciences, Western University of Health Sciences, Pomona, USA
| | - C Camille Okekpe
- Department of Women's Health, Arrowhead Regional Medical Center, Colton, USA
| | - Inessa Dombrovsky
- Department of Women's Health, Arrowhead Regional Medical Center, Colton, USA
| | | | - Kristina Roloff
- Department of Women's Health, Arrowhead Regional Medical Center, Colton, USA
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