Acceptability of data linkage to identify women at risk of postnatal complication for the development of digital risk prediction tools and interventions to better optimise postnatal care, a qualitative descriptive study design | BMC Medicine
Gaidai O, Cao Y, Loginov S. Global cardiovascular diseases death rate prediction. Curr Probl Cardiol. 2023;48(5):101622.
Google Scholar
World Health Organization. Cardiovascular diseases. 2023. Available from: https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1.
World Health Organization. Cardiovascular diseases (CVDs). 2021. Available from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).
Cleveland Clinic. Cardiovascular disease in women. 2023. Available from: https://my.clevelandclinic.org/health/diseases/17645-women–cardiovascular-disease.
Vogel B, Acevedo M, Appelman Y, BaireyMerz CN, Chieffo A, Figtree GA, et al. The lancet women and cardiovascular disease commission: reducing the global burden by 2030. Lancet. 2021;397(10292):2385–438.
Google Scholar
Bilhartz TD, Bilhartz PA, Bilhartz TN, Bilhartz RD. Making use of a natural stress test: pregnancy and cardiovascular risk. J Womens Health (Larchmt). 2011;20(5):695–701.
Google Scholar
Parikh NI, Gonzalez JM, Anderson CAM, Judd SE, Rexrode KM, Hlatky MA, et al. Adverse pregnancy outcomes and cardiovascular disease risk: unique opportunities for cardiovascular disease prevention in women: a scientific statement from the American Heart Association. Circulation. 2021;143(18):e902–16.
Google Scholar
Grandi SM, Filion KB, Yoon S, Ayele HT, Doyle CM, Hutcheon JA, et al. Cardiovascular disease-related morbidity and mortality in women with a history of pregnancy complications. Circulation. 2019;139(8):1069–79.
Google Scholar
Canoy D, Cairns BJ, Balkwill A, Wright FL, Khalil A, Beral V, et al. Hypertension in pregnancy and risk of coronary heart disease and stroke: a prospective study in a large UK cohort. Int J Cardiol. 2016;222:1012–8.
Google Scholar
Leon LJ, McCarthy FP, Direk K, Gonzalez-Izquierdo A, Prieto-Merino D, Casas JP, et al. Preeclampsia and cardiovascular disease in a large UK pregnancy cohort of linked electronic health records: a CALIBER study. Circulation. 2019;140(13):1050–60.
Google Scholar
Bellamy L, Casas JP, Hingorani AD, Williams DJ. Pre-eclampsia and risk of cardiovascular disease and cancer in later life: systematic review and meta-analysis. BMJ. 2007;335(7627):974.
Google Scholar
McDonald SD, Malinowski A, Zhou Q, Yusuf S, Devereaux PJ. Cardiovascular sequelae of preeclampsia/eclampsia: a systematic review and meta-analyses. Am Heart J. 2008;156(5):918–30.
Google Scholar
Wu P, Haththotuwa R, Kwok CS, Babu A, Kotronias RA, Rushton C, et al. Preeclampsia and future cardiovascular health: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes. 2017;10(2):e003497.
Google Scholar
Smith GC, Pell JP, Walsh D. Pregnancy complications and maternal risk of ischaemic heart disease: a retrospective cohort study of 129,290 births. Lancet. 2001;357(9273):2002–6.
Google Scholar
Brouwers L, van der Meiden-van Roest AJ, Savelkoul C, Vogelvang TE, Lely AT, Franx A, et al. Recurrence of pre-eclampsia and the risk of future hypertension and cardiovascular disease: a systematic review and meta-analysis. BJOG. 2018;125(13):1642–54.
Google Scholar
National Institute for Health and Care Excellence. Postnatal care NICE guideline NG194. 2021. Available from: https://www.nice.org.uk/guidance/ng194/chapter/recommendations#assessment-and-care-of-the-woman.
University of Oxford. Cardiovascular disease remains the leading cause of maternal deaths in the UK 2019. Available from: https://www.ox.ac.uk/news/2019-12-16-cardiovascular-disease-remains-leading-cause-maternal-deaths-uk.
Catwell L, Sheikh A. Evaluating eHealth interventions: the need for continuous systemic evaluation. PLoS Med. 2009;6(8):e1000126.
Google Scholar
Scantlebury A, Sheard L, Watt I, Cairns P, Wright J, Adamson J. Exploring the implementation of an electronic record into a maternity unit: a qualitative study using normalisation process theory. BMC Med Inform Decis Mak. 2017;17(1):4.
Google Scholar
Kearney L, Craswell A, Cole R, Hadland M, Smyth W, Nagle C. Woman-centred care and integrated electronic medical records within Australian maternity settings: point prevalence audit and observational study. Midwifery. 2023;123:103718.
Google Scholar
Modi N, Ashby D, Battersby C, Brocklehurst P, Chivers Z, Costeloe K, et al. Developing routinely recorded clinical data from electronic patient records as a national resource to improve neonatal health care: the Medicines for Neonates research programme. Southampton (UK): Programme Grants for Applied Research; 2019.
NHS England. About the maternity services data set: NHS Digital; 2023. Available from: https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/maternity-services-data-set/about-the-maternity-services-data-set.
MBRRACE-UK. Maternal mortality 2020–2022. 2024. Available from: https://www.npeu.ox.ac.uk/mbrrace-uk/data-brief/maternal-mortality-2020-2022.
Smith HC, Saxena S, Petersen I. Postnatal checks and primary care consultations in the year following childbirth: an observational cohort study of 309 573 women in the UK, 2006–2016. BMJ Open. 2020;10(11):e036835.
Google Scholar
Akolekar R, Syngelaki A, Poon L, Wright D, Nicolaides KH. Competing risks model in early screening for preeclampsia by biophysical and biochemical markers. Fetal Diagn Ther. 2013;33(1):8–15.
Google Scholar
Mazer Zumaeta A, Wright A, Syngelaki A, Maritsa VA, Da Silva AB, Nicolaides KH. Screening for pre-eclampsia at 11–13 weeks’ gestation: use of pregnancy-associated plasma protein-A, placental growth factor or both. Ultrasound Obstet Gynecol. 2020;56(3):400–7.
Google Scholar
Rolnik DL, Wright D, Poon LCY, Syngelaki A, O’Gorman N, de Paco MC, et al. ASPRE trial: performance of screening for preterm pre-eclampsia. Ultrasound Obstet Gynecol. 2017;50(4):492–5.
Google Scholar
Ontario H. First-trimester screening program for the risk of pre-eclampsia using a multiple-marker algorithm: a health technology assessment. Ont Health Technol Assess Ser. 2023;22(5):1–118.
Amit G, Girshovitz I, Marcus K, Zhang Y, Pathak J, Bar V, et al. Estimation of postpartum depression risk from electronic health records using machine learning. BMC Pregnancy Childbirth. 2021;21(1):630.
Google Scholar
Department of Health & Social Care. Secure data environment for NHS health and social care data – policy guidelines: GOV.UK; 2022. Available from: https://www.gov.uk/government/publications/secure-data-environment-policy-guidelines/secure-data-environment-for-nhs-health-and-social-care-data-policy-guidelines.
Brown MA, Magee LA, Kenny LC, Karumanchi SA, McCarthy FP, Saito S, et al. The hypertensive disorders of pregnancy: ISSHP classification, diagnosis & management recommendations for international practice. Pregnancy Hypertens. 2018;13:291–310.
Google Scholar
Wu P, Green M, Myers JE. Hypertensive disorders of pregnancy. BMJ. 2023;381:e071653.
Google Scholar
Lui NA, Jeyaram G, Henry A. Postpartum interventions to reduce long-term cardiovascular disease risk in women after hypertensive disorders of pregnancy: a systematic review. Front Cardiovasc Med. 2019;6:160.
Google Scholar
Ingram E, Cooper S, Beardon S, Korner K, McDonald HI, Hogarth S, et al. Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives. BMJ Open. 2022;12(2):e055504.
Google Scholar
Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2008;3(2):77–101.
Google Scholar
Lincoln YS, Lynham SA, Guba EG. Paradigmatic controversies, contradictions, and emerging confluences, revisited. In: The Sage handbook of qualitative research. 2011. p. 97–128.
Rolfe G. Validity, trustworthiness and rigour: quality and the idea of qualitative research. J Adv Nurs. 2006;53(3):304–10.
Google Scholar
Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57.
Google Scholar
Healthwatch England. Six-week postnatal checks are failing many new mothers. 2023. Available from: https://www.healthwatch.co.uk/news/2023-03-14/six-week-postnatal-checks-are-failing-many-new-mothers.
The Independent. Key appointment for new mothers treated as ‘tick box exercise’, group warns. 2023. Available from: https://www.independent.co.uk/life-style/health-and-families/healthwatch-england-nhs-england-hampshire-b2304840.html.
NHS England. Quality and Outcome Framework. 2022. Available from: https://qof.digital.nhs.uk/.
Chew-Graham CA, Hunter C, Langer S, Stenhoff A, Drinkwater J, Guthrie EA, et al. How QOF is shaping primary care review consultations: a longitudinal qualitative study. BMC Fam Pract. 2013;14:103.
Google Scholar
NHS England. Maternity Transformation Programme (MTP): Harnessing digital technology. 2023. Available from: https://www.england.nhs.uk/mat-transformation/harnessing-digital-technology/.
NHS England. Three year delivery plan for maternity and neonatal services 2023. 2023.
Lopez AD, Adair T. Is the long-term decline in cardiovascular-disease mortality in high-income countries over? Evidence from national vital statistics. Int J Epidemiol. 2019;48(6):1815–23.
Google Scholar
van Smeden M, Reitsma JB, Riley RD, Collins GS, Moons KG. Clinical prediction models: diagnosis versus prognosis. J Clin Epidemiol. 2021;132:142–5.
Google Scholar
Giorgione V, Khalil A, O’Driscoll J, Thilaganathan B. Peripartum screening for postpartum hypertension in women with hypertensive disorders of pregnancy. J Am Coll Cardiol. 2022;80(15):1465–76.
Google Scholar
Labrique A, Vasudevan L, Mehl G, Rosskam E, Hyder AA. Digital health and health systems of the future. Glob Health Sci Pract. 2018;6(Suppl 1):S1–4.
Google Scholar
Teufel A, Binder H. Clinical decision support systems. Visc Med. 2021;37(6):491–8.
Google Scholar
Peek N, Gude WT, Keers RN, Williams R, Kontopantelis E, Jeffries M, et al. Evaluation of a pharmacist-led actionable audit and feedback intervention for improving medication safety in UK primary care: an interrupted time series analysis. PLoS Med. 2020;17(10):e1003286.
Google Scholar
Palin V, Tempest E, Mistry C, van Staa TP. Developing the infrastructure to support the optimisation of antibiotic prescribing using the learning healthcare system to improve healthcare services in the provision of primary care in England. BMJ Health Care Inform. 2020;27(1):e100147.
Google Scholar
Sandborg J, Soderstrom E, Henriksson P, Bendtsen M, Henstrom M, Leppanen MH, et al. Effectiveness of a smartphone app to promote healthy weight gain, diet, and physical activity during pregnancy (HealthyMoms): randomized controlled trial. JMIR Mhealth Uhealth. 2021;9(3):e26091.
Google Scholar
Miura Y, Ogawa Y, Shibata A, Kamijo K, Joko K, Aoki T. App-based interventions for the prevention of postpartum depression: a systematic review and meta-analysis. BMC Pregnancy Childbirth. 2023;23(1):441.
Google Scholar
O’Connor S, Hanlon P, O’Donnell CA, Garcia S, Glanville J, Mair FS. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Med Inform Decis Mak. 2016;16(1):120.
Google Scholar
do Nascimento Borges IJ, Abdulazeem H, Vasanthan LT, Martinez EZ, Zucoloto ML, Ostengaard L, et al. Barriers and facilitators to utilizing digital health technologies by healthcare professionals. NPJ Digit Med. 2023;6(1):161.
Google Scholar
Berman AH, Kolaas K, Petersen E, Bendtsen P, Hedman E, Linderoth C, et al. Clinician experiences of healthy lifestyle promotion and perceptions of digital interventions as complementary tools for lifestyle behavior change in primary care. BMC Fam Pract. 2018;19(1):139.
Google Scholar
Rodgers M, Raine G, Thomas S, Harden M, Eastwood A. Informing NHS policy in ‘digital-first primary care’: a rapid evidence synthesis. Southampton (UK): Health Services and Delivery Research; 2019.
National Guideline Alliance (UK). Provision of information about the postnatal health of women: postnatal care: evidence review. G. London: National Institute for Health and Care Excellence (NICE); 2021.
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