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Akademický článek

Long COVID demographic and secondary care referral characteristics in primary care: analysis of anonymised primary care data from a multiethnic, deprived urban area in the UK

Autor: Martin Chapman, Stevo Durbaba, Florence Tydeman, Matt Friend, Laura Duly, Julie Moore, Vasa Curcin, Yanzhong Wang, Caroline J. Jolley, Georgios Kaltsakas, Trudie Chalder, Nicholas Hart, Mark Ashworth

Publikováno v: npj Primary Care Respiratory Medicine, Vol 34, Iss 1, Pp 1-4 (2024)

Abstract Once the nature and number of patients with Long COVID was more fully understood, UK secondary care developed services to investigate, treat and support these patients. We aimed to identify evidence for demographic health inequalities based

Externí odkaz: https://doaj.org/article/0da0a7c3106d4b72b4d12d246f223041

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Akademický článek

Effect of on-demand vs continuous prescription of proton pump inhibitors on symptom burden and quality of life: results of a real-world randomized controlled trial in primary care patients with gastroesophageal reflux disease

Autor: Anna Andreasson, Lars Agréus, Nikolaos Mastellos, Grzegorz Bliźniuk, Dorota Waśko-Czopnik, Agapi Angelaki, Eirini Theodosaki, Christos Lionis, Karin Hek, Robert Verheij, Ellen Wright, Stevo Durbaba, Jean Muris, Piotr Bródka, Stanislaw Saganowski, Jean-Francois Ethiér, Vasa Curcin, Brendan Delaney

Publikováno v: Annals of Medicine, Vol 56, Iss 1 (2024)

AbstractObjectives This study aimed to assess the impact of on-demand versus continuous prescribing of proton pump inhibitors (PPIs) on symptom burden and health-related quality of life in patients with gastroesophageal reflux disease (GERD) presenti

Externí odkaz: https://doaj.org/article/4cd2a20bb0a349a2bad764a5e8da57c6

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Akademický článek

Mother and Infant Research Electronic Data Analysis (MIREDA): A protocol for creating a common data model for federated analysis of UK birth cohorts and the life course

Autor: Michael Seaborne, Hope Jones, Neil Cockburn, Stevo Durbaba, Arturo González-Izquierdo, Amy Hough, Dan Mason, Carlos Sánchez-Soriano, Chris Orton, Armando Méndez-Villalon, Tom Giles, David Ford, Phillip Quinlan, Krish Nirantharakumar, Lucilla Poston, Rebecca Reynolds, Gillian Santorelli, Sinead Brophy

Publikováno v: International Journal of Population Data Science, Vol 9, Iss 2 (2024)

Introduction Birth cohorts are valuable resources for studying early life, the determinants of health, disease, and development. They are essential for studying life course. Dynamic longitudinal electronic cohorts use routinely collected data, are li

Externí odkaz: https://doaj.org/article/8679ebc5bc0a4ee5af005b3d22642624

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Akademický článek

Identifying populations with chronic pain in primary care: developing an algorithm and logic rules applied to coded primary care diagnostic and medication data

Autor: Nasrin Hafezparast, Ellie Bragan Turner, Rupert Dunbar-Rees, Amoolya Vusirikala, Alice Vodden, Victoria de La Morinière, Katy Yeo, Hiten Dodhia, Stevo Durbaba, Siddesh Shetty, Mark Ashworth

Publikováno v: BMC Primary Care, Vol 24, Iss 1, Pp 1-10 (2023)

Abstract Background Estimates of chronic pain prevalence using coded primary care data are likely to be substantially lower than estimates derived from community surveys. Most primary care studies have estimated chronic pain prevalence using data sea

Externí odkaz: https://doaj.org/article/ab36a765213547b4946e04c7d175ba5b

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Akademický článek

Ethnic inequalities in the impact of COVID-19 on primary care consultations: a time series analysis of 460,084 individuals with multimorbidity in South London

Autor: Alice McGreevy, Marina Soley-Bori, Mark Ashworth, Yanzhong Wang, Emma Rezel-Potts, Stevo Durbaba, Hiten Dodhia, Julia Fox-Rushby

Publikováno v: BMC Medicine, Vol 21, Iss 1, Pp 1-14 (2023)

Abstract Background The COVID-19 pandemic caused rapid changes in primary care delivery in the UK, with concerns that certain groups of the population may have faced increased barriers to access. This study assesses the impact of the response to the

Externí odkaz: https://doaj.org/article/9ef7746b5ec340d99af9a531be1e0da8

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