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pro vyhledávání: '"Harron A"'
Data linkage is increasingly used in health research and policy making and is relied on for understanding health inequalities. However, linked data is only as useful as the underlying data quality, and differential linkage rates may induce selection
Externí odkaz:
http://arxiv.org/abs/2409.13706
Autor:
Anne-Marie Nybo Andersen, Siddartha Aradhya, Josephine Funck Bilsteen, Nick Bowden, Erin Early, Kathleen Falster, Martin Flatø, Michael Fleming, Rob French, Erika Hagemann, Katie Harron, Jen Keating, Gissler Mika, Rebecca Mitchell, Alicia Montgomerie, Nathan Nickell, Irene Papanicolas, Rhiannon Pilkington, Paul Romitti, Sujitha Ratnasingham, Lisa Smithers, Nieves Valdés, Ben Wilson
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives To understand how we can better initiate and run international collaborations to deliver tangible and impactful findings using population-wide linked health and education data. Approach Representatives from 14 countries (America, Austra
Externí odkaz:
https://doaj.org/article/2fcc52a062bd49e5a043dfd86fd81034
Autor:
Peter Rohloff, Katie Harron, Chester Kalinda, Jeremy Miles, Peter Flom, Javier Ballesteros, Eirini Koutoumanou, Sarah Jane Nevitt
Publikováno v:
BMJ Paediatrics Open, Vol 8, Iss 1 (2024)
As statistical reviewers and editors for BMJ Paediatrics Open (BMJPO), we frequently see methodological and statistical errors in articles submitted to our journal. To make a list of these common errors and propose suitable corrections, and inspired
Externí odkaz:
https://doaj.org/article/58e603d900ec4daea3cd01e0faa318dc
Autor:
Louise Mc Grath-Lone, Jenny Woodman, Amanda Clery, Mengyun Liu, Catherine Bunting, Katie Harron
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Explore differences in children’s contact with health visiting (HV) services by pre-birth exposure to maternal adversity. Approach For the first time, we linked the Community Services Dataset (CSDS), which records HV contacts for child
Externí odkaz:
https://doaj.org/article/fd04ec5f16ed409cb307c3507dd7a42d
Methodological Challenges when Using Routinely Collected Health Data for Research: A scoping review.
Autor:
Lili Wei, Ellen Kuenzig, James Im, Yan Zheng, Taylor McLinden, Scott Emerson, Azza Eissa, Henry Halder, Richard Shaw, An-Wen Chan, William Dixon, Vera Ehrenstein, Astrid Guttmann, Katie Harron, Lars G. Hemkens, Asbjørn Hróbjartsson, Ronan Lyons, Shannon E. MacDonald, Jerry Maniate, David Moher, Irene Petersen, Hude Quan, Sigrún Schmidt, Henrik Sørensen, Shirley Wang, David A. McAllister, Sinéad M. Langan, Eric I. Benchimol
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Routinely collected health data (RCD) including electronic health records, disease registries, health administrative data and wearables data are not specifically collected for research purposes. Analysis of these data poses unique methodological chal
Externí odkaz:
https://doaj.org/article/e94b42734b89427b9eeeecef0bb6e9d2
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Background Transition from adolescent to adult health and education services is a vulnerable period for young people with learning disability (LD) or autism spectrum disorders (ASD), yet there is a lack of information on their risk of death in that p
Externí odkaz:
https://doaj.org/article/77095d41b5be423e8f606e25745af5b3
Autor:
Richard Silverwood, Gergo Baranyi, Lisa Calderwood, Bianca De Stavola, George Ploubidis, Katie Harron
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Analyses of population administrative data can often only be minimally adjusted due to the unavailability of a full set of control variables, leading to bias due to residual confounding. Cohort studies will often contain rich information o
Externí odkaz:
https://doaj.org/article/d0dfce8d7efd47c4b7ab24caf845cb4f
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives The prevalence of mental disorders is high and increasing among children and young people. Investigating the relationship between self-reported poor mental health and mental health service utilisation can provide evidence on the benefits o
Externí odkaz:
https://doaj.org/article/8f87f29a54114c65ad4636893c5cfeeb
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Maternal physical, psychological, and social risk factors extend beyond impacting maternal wellbeing to significantly influence their children. Sibling dynamics also play a crucial role in individual development, health and wellbeing. We es
Externí odkaz:
https://doaj.org/article/c7f3020e3868451ca063d4bf0a2578b7
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
We aimed to develop a framework for generating synthetic identifier datasets to support development and evaluation of data linkage methods. We evaluated whether replicating associations between attributes and identifiers improved the utility of the s
Externí odkaz:
https://doaj.org/article/16bcc79f20514fd7866a484e65e792d6