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Loane M, Given JE, Tan J, Reid A, Akhmedzhanova D, Astolfi G, Barišić I, Bertille N, Bonet LB, Carbonell CC, Carollo OM, Coi A, Densem J, Draper E, Garne E, Gatt M, Glinianaia SV, Heino A, Hond ED, Jordan S, Khoshnood B, Kiuru-Kuhlefelt S, Klungsøyr K, Lelong N, Lutke LR, Neville AJ, Ostapchuk L, Puccini A, Rissmann A, Santoro M, Scanlon I, Thys G, Tucker D, Urhoj SK, de Walle HEK, Wellesley D, Zurriaga O, Morris JK. Linking a European cohort of children born with congenital anomalies to vital statistics and mortality records: A EUROlinkCAT study. PLoS One 2021; 16:e0256535. [PMID: 34449798 PMCID: PMC8396745 DOI: 10.1371/journal.pone.0256535] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/09/2021] [Indexed: 11/19/2022] Open
Abstract
EUROCAT is a European network of population-based congenital anomaly (CA) registries. Twenty-one registries agreed to participate in the EUROlinkCAT study to determine if reliable information on the survival of children born with a major CA between 1995 and 2014 can be obtained through linkage to national vital statistics or mortality records. Live birth children with a CA could be linked using personal identifiers to either their national vital statistics (including birth records, death records, hospital records) or to mortality records only, depending on the data available within each region. In total, 18 of 21 registries with data on 192,862 children born with congenital anomalies participated in the study. One registry was unable to get ethical approval to participate and linkage was not possible for two registries due to local reasons. Eleven registries linked to vital statistics and seven registries linked to mortality records only; one of the latter only had identification numbers for 78% of cases, hence it was excluded from further analysis. For registries linking to vital statistics: six linked over 95% of their cases for all years and five were unable to link at least 85% of all live born CA children in the earlier years of the study. No estimate of linkage success could be calculated for registries linking to mortality records. Irrespective of linkage method, deaths that occurred during the first week of life were over three times less likely to be linked compared to deaths occurring after the first week of life. Linkage to vital statistics can provide accurate estimates of survival of children with CAs in some European countries. Bias arises when linkage is not successful, as early neonatal deaths were less likely to be linked. Linkage to mortality records only cannot be recommended, as linkage quality, and hence bias, cannot be assessed.
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Affiliation(s)
- M. Loane
- Faculty of Life and Health Sciences, Ulster University, Northern Ireland, United Kingdom
| | - J. E. Given
- Faculty of Life and Health Sciences, Ulster University, Northern Ireland, United Kingdom
| | - J. Tan
- Population Health Research Institute, St George’s, University of London, London, United Kingdom
| | - A. Reid
- Population Health Research Institute, St George’s, University of London, London, United Kingdom
| | - D. Akhmedzhanova
- OMNI-Net for Children International Charitable Fund, Rivne Regional Medical Diagnostic Center, Rivne, Ukraine
| | - G. Astolfi
- Emilia Romagna Registry of Birth Defects, University Hospital of Ferrara, Ferrara, Italy
| | - I. Barišić
- Klinika za dječje bolesti, Zagreb, Croatia
| | - N. Bertille
- Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - L. B. Bonet
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain
| | - C. C. Carbonell
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain
| | | | - A. Coi
- Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - J. Densem
- Biomedical Computing Limited, Battle, United Kingdom
| | - E. Draper
- East Midlands & South Yorkshire Congenital Anomaly Registry, University of Leicester, Leicester, United Kingdom
| | - E. Garne
- Hospital Lillebaelt, Region Syddanmark, Denmark
| | - M. Gatt
- Directorate for Health Information and Research, G’Mangia, Malta
| | - S. V. Glinianaia
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - A. Heino
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - E. Den Hond
- Provinciaal Instituut voor Hygiëne (PIH), Antwerpen, Belgium
| | - S. Jordan
- Swansea University, Wales, United Kingdom
| | - B. Khoshnood
- Institut National de la Santé et de la Recherche Médicale, Paris, France
| | | | - K. Klungsøyr
- Division of Mental and Physical Health, Department of Global Public Health and Primary Care, Norwegian Institute of Public Health, University of Bergen, Bergen, Norway
| | - N. Lelong
- Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - L. R. Lutke
- Department of Genetics, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - A. J. Neville
- Emilia Romagna Registry of Birth Defects, University Hospital of Ferrara, Ferrara, Italy
| | - L. Ostapchuk
- OMNI-Net for Children International Charitable Fund, Rivne Regional Medical Diagnostic Center, Rivne, Ukraine
| | - A. Puccini
- Territorial Care Service, Emilia Romagna Health Authority, Bologna, Italy
| | - A. Rissmann
- Medical Faculty Otto-von-Guericke, Malformation Monitoring Centre Saxony-Anhalt, University Magdeburg, Magdeburg, Germany
| | - M. Santoro
- Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - I. Scanlon
- Swansea University, Wales, United Kingdom
| | - G. Thys
- Provinciaal Instituut voor Hygiëne (PIH), Antwerpen, Belgium
| | - D. Tucker
- Public Health Wales, Wales, United Kingdom
| | - S. K. Urhoj
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - H. E. K. de Walle
- Department of Genetics, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - D. Wellesley
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - O. Zurriaga
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain
| | - J. K. Morris
- Population Health Research Institute, St George’s, University of London, London, United Kingdom
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Given JE, O'Kane MJ, Coates VE, Moore A, Bunting BP. Comparing patient generated blood glucose diary records with meter memory in type 2 diabetes. Diabetes Res Clin Pract 2014; 104:358-62. [PMID: 24690309 DOI: 10.1016/j.diabres.2014.03.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Revised: 02/24/2014] [Accepted: 03/04/2014] [Indexed: 01/15/2023]
Abstract
AIM To assess agreement between meter and diary self monitoring of blood glucose (SMBG) records, over a year, in a sample of patients with type 2 diabetes. METHODS Meter and diary records were available, for 95 individuals, who took part in the Efficacy of self monitoring of blood glucose in patients with newly diagnosed type 2 diabetes study. Pearson's correlation coefficient was used to explore the relationships between the types of error. Maximum likelihood estimation was used to explore changes over time through a structural equation modelling approach. Paired samples t-tests were used to determine if the presence of errors led to a significant difference between the mean diary and meter SMBG concentrations or coefficients of variation. Multiple regression was used to explore possible predictors of the error indices. RESULTS Mean over-reporting, under-reporting, concordance and overall reliability were 8.4%, 10.0%, 83.5% and 71.3%, respectively. The first week of monitoring had significantly more under-reporting, over-reporting and less concordance and overall reliability than subsequent weeks. The majority of concordance errors were not clinically significant. Those that were, tended to occur during the first three months of monitoring. Participants' at one trial site were significantly more likely to have recording errors than those at the largest site. CONCLUSIONS Error levels were similar to those described previously in type 1 diabetes and there was a suggestion of an initial learning curve for record keeping. For some individuals diary records would not be considered acceptable if held to the same standards as blood glucose meters.
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Affiliation(s)
- J E Given
- Institute of Nursing and Health Research, University of Ulster, Coleraine Campus, Cromore Road, Coleraine, County Londonderry BT52 1SA, UK.
| | - M J O'Kane
- Department of Clinical Chemistry, Western Health and Social Care Trust, Altnagelvin Hospital, Londonderry BT47 6SB, UK
| | - V E Coates
- Institute of Nursing and Health Research, University of Ulster, Coleraine Campus, Cromore Road, Coleraine, County Londonderry BT52 1SA, UK; Nursing Directorate, Western Health and Social Care Trust, Altnagelvin Hospital, Londonderry BT47 6SB, UK
| | - A Moore
- School of Environmental Sciences, University of Ulster, Coleraine Campus, Cromore Road, Coleraine, County Londonderry BT52 1SA, UK
| | - B P Bunting
- School of Psychology, University of Ulster, Magee Campus, Londonderry BT48 7JL, UK
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Given JE, O'Kane MJ, Bunting BP, Coates VE. Comparing patient-generated blood glucose diary records with meter memory in diabetes: a systematic review. Diabet Med 2013; 30:901-13. [PMID: 23324062 DOI: 10.1111/dme.12130] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2012] [Revised: 09/24/2012] [Accepted: 01/10/2013] [Indexed: 11/27/2022]
Abstract
AIMS To synthesize evidence relating to comparisons between patient-generated blood glucose records and meter memory in diabetes and to identify any predictors of agreement. METHODS A systematic literature search was performed to identify articles comparing meter and diary records in those unaware of this assessment. RESULTS Eleven observational studies, covering patients with Type 1, Type 2 and gestational diabetes were included spanning 1984-2009. Failure to record blood glucose measurements in the diary was the most extensive 'error', but addition of values, which were not measured, was a greater cause for concern. When present to a high degree, 'errors' lead to decreased variability in diary records compared with meter records. Allowing for a minimal amount of disagreement, just over 50% of adult diaries can be considered as 'accurate/reliable'. Disagreements were most extensive in teenagers and young adults, but the pregnant populations were only slightly better. Agreement was not related to sex, number of insulin injections or duration of monitoring. Those who were younger were more likely to have 'errors', while those who monitored more frequently had more 'accurate' diaries. CONCLUSIONS The lack of meter-diary agreement suggests that the real reason for monitoring is not understood by many patients, raising issues about motivation, perceived need to impress healthcare providers and denial of poor control. Considering that diaries are used to inform decisions about therapy when HbA1c is raised or in pregnancy, when HbA1c is not suitable, there is significant cause for concern in relation to their clinical utility.
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Affiliation(s)
- J E Given
- Institute of Nursing Research, University of Ulster, Coleraine, UK.
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