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      A hospital-based birth defects surveillance system in Kampala, Uganda

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          Abstract

          Background

          In 2010, the World Health Assembly passed a resolution calling upon countries to prevent birth defects where possible. Though birth defects surveillance programs are an important source of information to guide implementation and evaluation of preventive interventions, many countries that shoulder the largest burden of birth defects do not have surveillance programs. This paper shares the results of a hospital-based birth defects surveillance program in Uganda which, can be adopted by similar resource-limited countries.

          Methods

          All informative births, including live births, stillbirths and spontaneous abortions; regardless of gestational age, delivered at four selected hospitals in Kampala from August 2015 to December 2017 were examined for birth defects. Demographic data were obtained by midwives through maternal interviews and review of hospital patient notes and entered in an electronic data collection tool. Identified birth defects were confirmed through bedside examination by a physician and review of photographs and a narrative description by a birth defects expert. Informative births (live, still and spontaneous abortions) with a confirmed birth defect were included in the numerator, while the total informative births (live, still and spontaneous abortions) were included in the denominator to estimate the prevalence of birth defects per 10,000 births.

          Results

          The overall prevalence of birth defects was 66.2/10,000 births (95% CI 60.5–72.5). The most prevalent birth defects (per 10,000 births) were: Hypospadias, 23.4/10,000 (95% CI 18.9–28.9); Talipes equinovarus, 14.0/10,000 (95% CI 11.5–17.1) and Neural tube defects, 10.3/10,000 (95% CI 8.2–13.0). The least prevalent were: Microcephaly, 1.6/10,000 (95% CI 0.9–2.8); Microtia and Anotia, 1.6/10,000 (95% CI 0.9–2.8) and Imperforate anus, 2.0/10,000 (95% CI 1.2–3.4).

          Conclusion

          A hospital-based surveillance project with active case ascertainment can generate reliable epidemiologic data about birth defects prevalence and can inform prevention policies and service provision needs in low and middle-income countries.

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          Most cited references19

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          How sample size influences research outcomes

          Sample size calculation is part of the early stages of conducting an epidemiological, clinical or lab study. In preparing a scientific paper, there are ethical and methodological indications for its use. Two investigations conducted with the same methodology and achieving equivalent results, but different only in terms of sample size, may point the researcher in different directions when it comes to making clinical decisions. Therefore, ideally, samples should not be small and, contrary to what one might think, should not be excessive. The aim of this paper is to discuss in clinical language the main implications of the sample size when interpreting a study.
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            Congenital Anomalies in Low- and Middle-Income Countries: The Unborn Child of Global Surgery

            Surgically correctable congenital anomalies cause a substantial burden of global morbidity and mortality. These anomalies disproportionately affect children in low- and middle-income countries (LMICs) due to sociocultural, economic, and structural factors that limit the accessibility and quality of pediatric surgery. While data from LMICs are sparse, available evidence suggests that the true human and financial cost of congenital anomalies is grossly underestimated and that pediatric surgery is a cost-effective intervention with the potential to avert significant premature mortality and lifelong disability.
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              Epidemiology of Birth Defects Based on a Birth Defect Surveillance System from 2005 to 2014 in Hunan Province, China

              Objective To describe the epidemiology of birth defects (BDs) in perinatal infants in Hunan Province, China, between 2005 and 2014. Methods The BD surveillance data of perinatal infants (for stillbirth, dead fetus or live birth between 28 weeks of gestation and 7 days after birth) were collected from 52 registered hospitals of Hunan between 2005 and 2014. The prevalence rates of BDs with 95% confidence interval (CI) and crude odds ratio (ORs) were calculated to examine the associations of infant gender, maternal age, and region (urban vs rural) with BDs. Results From 2005 to 2014, there were a total of 925413 perinatal infants of which 17753 had BDs, with the average prevalence of 191.84 per 10000 PIs (perinatal infants), showing a significant uptrend. The risks of BDs are higher in urban areas versus rural areas (OR = 1.20), in male infants versus female infants (OR = 1.19), and in mothers above age 35 versus those below age 35 (OR = 1.24). The main five types of BDs are Congenital heart defects (CHD), Other malformation of external ear (OMEE), Polydactyly, Congenital malformation of kidney (CMK), and Congenital talipes equinovarus (CTE). From 2005 to 2014, the prevalence rates (per 10000 PIs) of CHD and CMK increased significantly from 22.56 to 74 (OR = 3.29, 95%CI: 2.65–4.11) and from 7.61 to 14.62 (OR = 1.92, 95%CI:1.30–2.84), respectively; the prevalence rates of congenital hydrocephalus and neural tube defects (NTDs) decreased significantly from 11.8 to 5.29 (OR = 0.45, 95%CI: 0.31–0.65) and from 7.87 to 1.74 (OR = 0.22, 95%CI: 0.13–0.38), respectively. Conclusions The prevalence rates of specific BDs in perinatal infants in Hunan have changed in the last decade. Urban pregnant women, male perinatal infants, and mothers above age 35 present different prevalence rates of BDs. Wider use of new diagnosis technology, improving the ability of monitoring, strengthening the publicity and education are important to reduce the prevalence of BDs.
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                Author and article information

                Contributors
                +256 414 541 044 , dmwanjamumpe@mujhu.org
                lbarlow@mujhu.org
                djw8@cdc.gov
                ile9@cdc.gov
                rserunjogi@mujhu.org
                Ayoub.Kakande@mrcuganda.org
                jmatovu@mujhu.org
                jollyn2411@yahoo.com
                dbirabwamale@yahoo.com
                hlv5@cdc.gov
                jnsabiiti@gmail.com
                pmusoke@mujhu.org
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                22 October 2019
                22 October 2019
                2019
                : 19
                : 372
                Affiliations
                [1 ]ISNI 0000 0004 0620 0548, GRID grid.11194.3c, Makerere University - Johns Hopkins University Research Collaboration, ; Kampala, Uganda
                [2 ]ISNI 0000 0001 2163 0069, GRID grid.416738.f, US Centers for Disease Control and Prevention (CDC), ; Atlanta, USA
                [3 ]ISNI 0000 0004 1790 6116, GRID grid.415861.f, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, ; Entebbe, Uganda
                [4 ]ISNI 0000 0004 0620 0548, GRID grid.11194.3c, Makerere University College of Health Sciences, ; Kampala, Uganda
                [5 ]ISNI 0000 0000 9634 2734, GRID grid.416252.6, Mulago National Referral Hospital, ; Kampala, Uganda
                [6 ]US Centers for Disease Control and Prevention (CDC), Kampala, Uganda
                [7 ]GRID grid.415705.2, Community Health Department, , Ministry of Health, ; Kampala, Uganda
                Author information
                http://orcid.org/0000-0002-5670-5371
                Article
                2542
                10.1186/s12884-019-2542-x
                6805492
                31640605
                c8e52b2a-2514-4bb0-aab7-f07588b3aa8c
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 April 2019
                : 27 September 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000030, Centers for Disease Control and Prevention;
                Award ID: 1U10GH000487, 5U01GH000487 and 5U01GH002171-02
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Obstetrics & Gynecology
                birth defects,congenital anomalies,birth prevalence,hospital-based surveillance,uganda

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