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Mitra S, Whitehead L, Smith K, Maclean B, Nixon R, Veysey A, Campbell-Yeo M, Kuhle S, Gale C, Soll R, Dorling J, Johnston BC. Prophylactic cyclo-oxygenase inhibitor drugs for the prevention of morbidity and mortality in extremely preterm infants: a clinical practice guideline incorporating family values and preferences. Arch Dis Child Fetal Neonatal Ed 2024; 109:232-238. [PMID: 37419686 DOI: 10.1136/archdischild-2023-325445] [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: 02/08/2023] [Accepted: 06/23/2023] [Indexed: 07/09/2023]
Abstract
ImportanceProphylactic cyclo-oxygenase inhibitors (COX-Is) such as indomethacin, ibuprofen and acetaminophen may prevent morbidity and mortality in extremely preterm infants (born ≤28 weeks' gestation). However, there is controversy around which COX-I, if any, is the most effective and safest, which has resulted in considerable variability in clinical practice. Our objective was to develop rigorous and transparent clinical practice guideline recommendations for the prophylactic use of COX-I drugs for the prevention of mortality and morbidity in extremely preterm infants. The Grading of Recommendations Assessment, Development and Evaluation evidence-to-decision framework for multiple comparisons was used to develop the guideline recommendations. A 12-member panel, including 5 experienced neonatal care providers, 2 methods experts, 1 pharmacist, 2 parents of former extremely preterm infants and 2 adults born extremely preterm, was convened. A rating of the most important clinical outcomes was established a priori. Evidence from a Cochrane network meta-analysis and a cross-sectional mixed-methods study exploring family values and preferences were used as the primary sources of evidence. The panel recommended that prophylaxis with intravenous indomethacin may be considered in extremely preterm infants (conditional recommendation, moderate certainty in estimate of effects). Shared decision making with parents was encouraged to evaluate their values and preferences prior to therapy. The panel recommended against routine use of ibuprofen prophylaxis in this gestational age group (conditional recommendation, low certainty in the estimate of effects). The panel strongly recommended against use of prophylactic acetaminophen (strong recommendation, very low certainty in estimate of effects) until further research evidence is available.
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Affiliation(s)
- Souvik Mitra
- Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
- Division of Neonatal Perinatal Medicine, IWK Health, Halifax, Nova Scotia, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Leah Whitehead
- Division of Neonatal Perinatal Medicine, IWK Health, Halifax, Nova Scotia, Canada
| | - Katie Smith
- School of Access, Education and Language, Nova Scotia Community College, Halifax, Nova Scotia, Canada
| | - Breagh Maclean
- Department of Service Nova Scotia, Government of Nova Scotia, Halifax, Nova Scotia, Canada
| | - Rebekah Nixon
- Department of Neonatal Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Andrew Veysey
- Division of Neonatal Perinatal Medicine, IWK Health, Halifax, Nova Scotia, Canada
| | - Marsha Campbell-Yeo
- Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
- Division of Neonatal Perinatal Medicine, IWK Health, Halifax, Nova Scotia, Canada
- School of Nursing, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Stefan Kuhle
- Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Institute for Medical Biostatistics, Epidemiology and Informatics (IMBEI), Johannes Gutenberg University of Mainz, Mainz, Germany
| | - Chris Gale
- School of Public Health, Imperial College London, London, UK
| | - Roger Soll
- Department of Pediatrics, University of Vermont, Burlington, New Jersey, USA
| | - Jon Dorling
- Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Neonatal Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Bradley C Johnston
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, Texas, USA
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McGowan J, Attal B, Kuhn I, Hinton L, Draycott T, Martin GP, Dixon-Woods M. Quality and reporting of large-scale improvement programmes: a review of maternity initiatives in the English NHS, 2010-2023. BMJ Qual Saf 2024:bmjqs-2023-016606. [PMID: 38050180 DOI: 10.1136/bmjqs-2023-016606] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/13/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Large-scale improvement programmes are a frequent response to quality and safety problems in health systems globally, but have mixed impact. The extent to which they meet criteria for programme quality, particularly in relation to transparency of reporting and evaluation, is unclear. AIM To identify large-scale improvement programmes focused on intrapartum care implemented in English National Health Service maternity services in the period 2010-2023, and to conduct a structured quality assessment. METHODS We drew on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidance to inform the design and reporting of our study. We identified relevant programmes using multiple search strategies of grey literature, research databases and other sources. Programmes that met a prespecified definition of improvement programme, that focused on intrapartum care and that had a retrievable evaluation report were subject to structured assessment using selected features of programme quality. RESULTS We identified 1434 records via databases and other sources. 14 major initiatives in English maternity services could not be quality assessed due to lack of a retrievable evaluation report. Quality assessment of the 15 improvement programmes meeting our criteria for assessment found highly variable quality and reporting. Programme specification was variable and mostly low quality. Only eight reported the evidence base for their interventions. Description of implementation support was poor and none reported customisation for challenged services. None reported reduction of inequalities as an explicit goal. Only seven made use of explicit patient and public involvement practices, and only six explicitly used published theories/models/frameworks to guide implementation. Programmes varied in their reporting of the planning, scope and design of evaluation, with weak designs evident. CONCLUSIONS Poor transparency of reporting and weak or absent evaluation undermine large-scale improvement programmes by limiting learning and accountability. This review indicates important targets for improving quality in large-scale programmes.
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Affiliation(s)
- James McGowan
- The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Bothaina Attal
- The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Isla Kuhn
- The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Lisa Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Tim Draycott
- Department of Women's Health, North Bristol NHS Trust, Westbury on Trym, Bristol, UK
| | - Graham P Martin
- The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mary Dixon-Woods
- The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Odd D, Williams T, Stoianova S, Rossouw G, Fleming P, Luyt K. Newborn Health and Child Mortality Across England. JAMA Netw Open 2023; 6:e2338055. [PMID: 37847501 PMCID: PMC10582783 DOI: 10.1001/jamanetworkopen.2023.38055] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/02/2023] [Indexed: 10/18/2023] Open
Abstract
Importance Although the immediate impact of neonatal illness is well recognized, its wider and longer term outcomes on childhood mortality and the role of specific illnesses across childhood are unclear. Objective To investigate how many deaths in childhood are associated with neonatal illness and the underlying conditions of the children who died. Design, Setting, and Participants This population-based cohort study of children who died before age 10 years in England between April 1, 2019, and March 31, 2021, used data from the National Child Mortality Database. Data analysis was performed from September 2022 to May 2023. Exposure Children who received care in a neonatal unit after birth plus those who died in the first day of life, before admission to a neonatal unit, were considered to have likely neonatal illness. Main Outcomes and Measures The primary outcome was the relative risk (RR) of dying, stratified by likely neonatal illness and specific neonatal conditions. Comparisons were made using the χ2 or likelihood ratio test, as appropriate. Results A total of 4829 children were included (median [IQR] age at death, 28 [2-274] days; 2606 boys [54.8%]; 2690 White children [64.0%]). Overall, 3456 children who died (71.6%) had evidence of likely neonatal illness. Children with neonatal illness were more likely to die before their tenth birthday than those without evidence of neonatal illness (RR, 13.82; 95% CI, 13.00-14.71). The estimated population-attributable risk fraction for neonatal illness among all deaths before age 10 years was 66.4% (95% CI, 64.9%-67.9%). Children with preceding neonatal illness who died were more likely to have underlying behavioral or developmental disorders (odds ratio [OR], 3.31; 95% CI, 2.47-4.42), chronic neurological disease (OR, 3.00; 95% CI, 2.51-3.58), and chronic respiratory disease (OR, 3.01; 95% CI, 2.43-3.73) than children without neonatal illness. Conclusions and Relevance In this cohort study, most children who died before age 10 years had some evidence of neonatal illness, and they died of a range of causes, including infections and sudden, unexpected, unexplained death. These findings suggest that improvements to perinatal morbidity, an area with an existing evidence base for improvement, may have important impacts on child health across the next decade.
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Affiliation(s)
- David Odd
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Medicine, Division of Population Medicine, Cardiff University, Cardiff, United Kingdom
| | - Tom Williams
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sylvia Stoianova
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Grace Rossouw
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Peter Fleming
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Karen Luyt
- National Child Mortality Database, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neonatal Neurology, University of Bristol, St Michael’s Hospital, Bristol, United Kingdom
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