scholarly journals Developing a national birth cohort for child health research using a hospital admissions database in England: The impact of changes to data collection practices

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243843
Author(s):  
Ania Zylbersztejn ◽  
Ruth Gilbert ◽  
Pia Hardelid

Background National birth cohorts derived from administrative health databases constitute unique resources for child health research due to whole country coverage, ongoing follow-up and linkage to other data sources. In England, a national birth cohort can be developed using Hospital Episode Statistics (HES), an administrative database covering details of all publicly funded hospital activity, including 97% of births, with longitudinal follow-up via linkage to hospital and mortality records. We present methods for developing a national birth cohort using HES and assess the impact of changes to data collection over time on coverage and completeness of linked follow-up records for children. Methods We developed a national cohort of singleton live births in 1998–2015, with information on key risk factors at birth (birth weight, gestational age, maternal age, ethnicity, area-level deprivation). We identified three changes to data collection, which could affect linkage of births to follow-up records: (1) the introduction of the “NHS Numbers for Babies (NN4B)”, an on-line system which enabled maternity staff to request a unique healthcare patient identifier (NHS number) immediately at birth rather than at civil registration, in Q4 2002; (2) the introduction of additional data quality checks at civil registration in Q3 2009; and (3) correcting a postcode extraction error for births by the data provider in Q2 2013. We evaluated the impact of these changes on trends in two outcomes in infancy: hospital readmissions after birth (using interrupted time series analyses) and mortality rates (compared to published national statistics). Results The cohort covered 10,653,998 babies, accounting for 96% of singleton live births in England in 1998–2015. Overall, 2,077,929 infants (19.5%) had at least one hospital readmission after birth. Readmission rates declined by 0.2% percentage points per annual quarter in Q1 1998 to Q3 2002, shifted up by 6.1% percentage points (compared to the expected value based on the trend before Q4 2002) to 17.7% in Q4 2002 when NN4B was introduced, and increased by 0.1% percentage points per annual quarter thereafter. Infant mortality rates were under-reported by 16% for births in 1998–2002 and similar to published national mortality statistics for births in 2003–2015. The trends in infant readmission were not affected by changes to data collection practices in Q3 2009 and Q2 2013, but the proportion of unlinked mortality records in HES and in ONS further declined after 2009. Discussion HES can be used to develop a national birth cohort for child health research with follow-up via linkage to hospital and mortality records for children born from 2003 onwards. Re-linking births before 2003 to their follow-up records would maximise potential benefits of this rich resource, enabling studies of outcomes in adolescents with over 20 years of follow-up.

2013 ◽  
Vol 27 (4) ◽  
pp. 393-414 ◽  
Author(s):  
Pernille Stemann Larsen ◽  
Mads Kamper-Jørgensen ◽  
Ashley Adamson ◽  
Henrique Barros ◽  
Jens Peter Bonde ◽  
...  

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Yanni Wu ◽  
Michelle Howarth ◽  
Chunlan Zhou ◽  
Lixiao Yang ◽  
Xiaoling Ye ◽  
...  

2021 ◽  
Vol 13 (6) ◽  
pp. 3320
Author(s):  
Amy R. Villarosa ◽  
Lucie M. Ramjan ◽  
Della Maneze ◽  
Ajesh George

The COVID-19 pandemic has resulted in many changes, including restrictions on indoor gatherings and visitation to residential aged care facilities, hospitals and certain communities. Coupled with potential restrictions imposed by health services and academic institutions, these changes may significantly impact the conduct of population health research. However, the continuance of population health research is beneficial for the provision of health services and sometimes imperative. This paper discusses the impact of COVID-19 restrictions on the conduct of population health research. This discussion unveils important ethical considerations, as well as potential impacts on recruitment methods, face-to-face data collection, data quality and validity. In addition, this paper explores potential recruitment and data collection methods that could replace face-to-face methods. The discussion is accompanied by reflections on the challenges experienced by the authors in their own research at an oral health service during the COVID-19 pandemic and alternative methods that were utilised in place of face-to-face methods. This paper concludes that, although COVID-19 presents challenges to the conduct of population health research, there is a range of alternative methods to face-to-face recruitment and data collection. These alternative methods should be considered in light of project aims to ensure data quality is not compromised.


2005 ◽  
Vol 3 (1) ◽  
Author(s):  
George H Swingler ◽  
James H Irlam ◽  
William M Macharia ◽  
Félix Tietche ◽  
Martin M Meremikwu

2001 ◽  
Vol 139 (6) ◽  
pp. 757-758 ◽  
Author(s):  
Karen K. Winer ◽  
Ephraim Levin ◽  
Gilman D. Grave ◽  
Duane F. Alexander

Author(s):  
Liliana Ramírez Vera ◽  
Ma. Guadalupe Veytia Bucheli

This chapter reports on a research project on the homeschooling phenomenon in Mexico and how parents perceive the use of online programs to undertake academic activities with their children. It is in this space that this chapter is located, as it explores the changes to the phenomenon of homeschooling and the impact communication technology and, more specifically, of national and international educational platforms have had on the processes of follow-up and accreditation in Mexico and Latin America. In what follows, this chapter explores the situation in Mexico in particular and Latin America more broadly. It begins by exploring the problem statement and the question guiding this chapter. It then undertakes a literature review, from which it ascertains a theoretical lens and methodology. The data collection methods and the data are then outlined. Then, data are analysed.


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