Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators

被引:15
作者
Best, Kate E. [1 ]
Rankin, Judith [1 ]
Dolk, Helen [2 ]
Loane, Maria [2 ]
Haeusler, Martin [3 ]
Nelen, Vera [4 ]
Verellen-Dumoulin, Christine [5 ]
Garne, Ester [6 ]
Sayers, Gerardine [7 ]
Mullaney, Carmel [8 ]
O'Mahony, Mary T. [9 ]
Gatt, Miriam [10 ]
De Walle, Hermien [11 ]
Klungsoyr, Kari [12 ]
Carolla, Olatz Mokoroa [13 ]
Cavero-Carbonell, Clara [14 ]
Kurinczuk, Jennifer J. [15 ]
Draper, Elizabeth S. [16 ]
Tucker, David [17 ]
Wellesley, Diana [18 ,19 ]
Zymak-Zakutnia, Nataliia [20 ,21 ]
Lelong, Nathalie [22 ]
Khoshnood, Babak [22 ]
机构
[1] Newcastle Univ, Inst Hlth & Soc, Newcastle Upon Tyne, Tyne & Wear, England
[2] Ulster Univ, Inst Nursing & Hlth Res, Ctr Maternal Fetal & Infant Res, Ulster, North Ireland
[3] Med Univ Graz, Graz, Austria
[4] Prov Inst Hyg, Antwerp, Belgium
[5] Eurocat Hainaut Namur, Ctr Human Genet, IPG, Charleroi, Belgium
[6] Hosp Lillebaelt, Paediat Dept, Kolding, Denmark
[7] Hlth Serv Execut, Hlth Intelligence, Dublin, Ireland
[8] HSE Southeast Area, Publ Hlth Dept, Lacken, Kilkenny, Ireland
[9] Hlth Serv Execut South, Dept Publ Hlth, Cork, Ireland
[10] Dept Hlth Informat & Res, Guardamangia, Malta
[11] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Groningen, Netherlands
[12] Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen, Norway
[13] BioDonostia Res Inst, Publ Hlth Div Gipuzkoa, San Sebastian, Spain
[14] Fdn Promot Hlth & Biomed Res Valencian Reg, Rare Dis Res Unit, Valencia, Spain
[15] Univ Oxford, Nuffield Dept Populat Hlth, Natl Perinatal Epidemiol Unit, Oxford, England
[16] Univ Leicester, Dept Hlth Sci, Leicester, Leics, England
[17] Publ Hlth Wales, Congenital Anomaly Register & Informat Serv Wales, Swansea, W Glam, Wales
[18] Univ Southampton, Fac Med, Southampton, Hants, England
[19] Wessex Clin Genet Serv, Southampton, Hants, England
[20] OMNI Net Ukraine, Khmelnytsky, Ukraine
[21] Khmelnytsky Children Hosp, Khmelnytsky, Ukraine
[22] Maternite Port Royal, INSERM, U1153, Ctr Biostat & Epidemiol,Obstetr Perinatal & Pedia, Paris, France
基金
英国惠康基金;
关键词
perinatal mortality; termination of pregnancy for foetal anomaly; PRENATAL-DIAGNOSIS; PREGNANCY TERMINATION; PERINATAL-MORTALITY; GREAT-ARTERIES; HEART-DISEASE; IMPACT; FETAL; RISK; TRANSPOSITION; MORBIDITY;
D O I
10.1111/ppe.12655
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Public health organisations use public health indicators to guide health policy. Joint analysis of multiple public health indicators can provide a more comprehensive understanding of what they are intended to evaluate. Objective To analyse variaitons in the prevalence of congenital anomaly-related perinatal mortality attributable to termination of pregnancy for foetal anomaly (TOPFA) and prenatal diagnosis of congenital anomaly prevalence. Methods We included 55 363 cases of congenital anomalies notified to 18 EUROCAT registers in 10 countries during 2008-12. Incidence rate ratios (IRR) representing the risk of congenital anomaly-related perinatal mortality according to TOPFA and prenatal diagnosis prevalence were estimated using multilevel Poisson regression with country as a random effect. Between-country variation in congenital anomaly-related perinatal mortality was measured using random effects and compared between the null and adjusted models to estimate the percentage of variation in congenital anomaly-related perinatal mortality accounted for by TOPFA and prenatal diagnosis. Results The risk of congenital anomaly-related perinatal mortality decreased as TOPFA and prenatal diagnosis prevalence increased (IRR 0.79, 95% confidence interval [CI] 0.72, 0.86; and IRR 0.88, 95% CI 0.79, 0.97). Modelling TOPFA and prenatal diagnosis together, the association between congenital anomaly-related perinatal mortality and TOPFA prevalence became stronger (RR 0.70, 95% CI 0.61, 0.81). The prevalence of TOPFA and prenatal diagnosis accounted for 75.5% and 37.7% of the between-country variation in perinatal mortality, respectively. Conclusion We demonstrated an approach for analysing inter-linked public health indicators. In this example, as TOPFA and prenatal diagnosis of congenital anomaly prevalence decreased, the risk of congenital anomaly-related perinatal mortality increased. Much of the between-country variation in congenital anomaly-related perinatal mortality was accounted for by TOPFA, with a smaller proportion accounted for by prenatal diagnosis.
引用
收藏
页码:122 / 129
页数:8
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