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Your search keyword '"Coupland, Carol"' showing total 727 results
Start Over Author "Coupland, Carol" Publication Type Academic Journals
727 results on '"Coupland, Carol"'

8. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models

Author

Gleeson, Fergus, Baldwin, David, Batchkala, George, Buchanan, James, Burchardt, Judith, Chakraborty, Rohan, Chana, Ravi, Chen, Yan, Coupland, Carol, Crichton, Charles, Davies, Jim, Devaraj, Anand, Fan, Mengran, Hippisley-Cox, Julia, Koleva-Kolarova, Rositsa, Lee, Richard, Liao, Weiqi, Nair, Arjun, Pickup, Lyndsey, Powell, Anne, Rittscher, Jens, Shadmaan, Amied, Shanmugam, Kandavel, Stokes, Elizabeth, Verrill, Clare, Watkins, Johnathan, Wordsworth, Sarah, Coupland, Carol A C, Baldwin, David R, and Gleeson, Fergus V

Published
2023
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16. Disparities in care and outcomes for primary liver cancer in England during 2008–2018: a cohort study of 8.52 million primary care population using the QResearch database

Author

Barnes, Eleanor, Culver, Emma, Fischer, Roman, Hippisley-Cox, Julia, Innes, Hamish, Irving, William L., Jepsen, Peter, Kelly, Matt, Klenerman, Paul, Liao, Weiqi, Mann, Derek, Marshall, Aileen, Matthews, Philippa C., Pavlides, Michael, Peters, Rory J.R., Pickles, Elisabeth, Robineau, James, Schuster-Böckler, Benjamin, Song, Chunxiao, Tomlinson, Jeremy, Welberry, Christopher, Coupland, Carol A.C., and Campbell, Cori

Published
2023
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20. Helicobacter pylori eradication for primary prevention of peptic ulcer bleeding in older patients prescribed aspirin in primary care (HEAT): a randomised, double-blind, placebo-controlled trial

Author

Mant, David CA, Ford, Alexander C, Macdonald, Thomas M, Bradburn, Mike, Klauza, Claire A, Shone, Angela, Logan, Richard FA, Deeks, Jonathan J, McColl, Kenneth E.L., Goddard, Andrew F, Stevens, Richard, Sami, Sarned, Haughney, John, Cupples, Margaret E, Morar, Monique, O'Brien, Wendy, Hawkey, Chris, Avery, Anthony, Coupland, Carol A C, Crooks, Colin, Dumbleton, Jennifer, Hobbs, F D Richard, Kendrick, Denise, Moore, Michael, Morris, Clive, Rubin, Gregory, Smith, Murray, and Stevenson, Diane

Published
2022
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28. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults : national derivation and validation cohort study

Author

Clift, Ash K, Coupland, Carol A C, Keogh, Ruth H, Diaz-Ordaz, Karla, Williamson, Elizabeth, Harrison, Ewen M, Hayward, Andrew, Hemingway, Harry, Horby, Peter, Mehta, Nisha, Benger, Jonathan, Khunti, Kamlesh, Spiegelhalter, David, Sheikh, Aziz, Valabhji, Jonathan, Lyons, Ronan A, Robson, John, Semple, Malcolm G, Kee, Frank, Johnson, Peter, Jebb, Susan, Williams, Tony, and Hippisley-Cox, Julia

Published
2020

33. The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium

Author

Dambha-Miller, Hajira, Griffin, Simon J., Young, Duncan, Watkinson, Peter, Tan, Pui San, Clift, Ashley K., Payne, Rupert A., Coupland, Carol, Hopewell, Jemma C., Mant, Jonathan, Martin, Richard M., and Hippisley-Cox, Julia

Subjects
Medical research -- Methods, Medicine, Experimental -- Methods, Big data -- Usage -- Health aspects, Medical records -- Usage, Primary health care, Health, Science and technology
Abstract

The use of big data containing millions of primary care medical records provides an opportunity for rapid research to help inform patient care and policy decisions during the first and subsequent waves of the coronavirus disease 2019 (COVID-19) pandemic. Routinely collected primary care data have previously been used for national pandemic surveillance, quantifying associations between exposures and outcomes, identifying high risk populations, and examining the effects of interventions at scale, but there is no consensus on how to effectively conduct or report these data for COVID-19 research. A COVID-19 primary care database consortium was established in April 2020 and its researchers have ongoing COVID-19 projects in overlapping data sets with over 40 million primary care records in the United Kingdom that are variously linked to public health, secondary care, and vital status records. This consensus agreement is aimed at facilitating transparency and rigor in methodological approaches, and consistency in defining and reporting cases, exposures, confounders, stratification variables, and outcomes in relation to the pharmacoepidemiology of COVID-19. This will facilitate comparison, validation, and meta-analyses of research during and after the pandemic. Key words: big data; coronavirus; epidemiology; primary health care, INTRODUCTION Primary care big data refers to routinely collected anonymized general practitioner (GP) electronic health records that form large and complex longitudinal databases, often with hundreds of variables at an [...]

Published
2021
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40. Publisher Correction: Neurological complications after first dose of COVID-19 vaccines and SARS-CoV-2 infection

Author

Patone, Martina, Handunnetthi, Lahiru, Saatci, Defne, Pan, Jiafeng, Katikireddi, Srinivasa Vittal, Razvi, Saif, Hunt, David, Mei, Xue W., Dixon, Sharon, Zaccardi, Francesco, Khunti, Kamlesh, Watkinson, Peter, Coupland, Carol A. C., Doidge, James, Harrison, David A., Ravanan, Rommel, Sheikh, Aziz, Robertson, Chris, and Hippisley-Cox, Julia

Published
2021
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41. Missed Opportunities to Keep Children Safe? National Survey of Injury Prevention Activities of Children's Centres

Author

Watson, Michael Craig, Mulvaney, Caroline, Timblin, Clare, Stewart, Jane, Coupland, Carol A., Deave, Toity, Hayes, Mike, and Kendrick, Denise

Abstract

Objective: To ascertain the activities undertaken by children's centres to prevent unintentional injuries in the under-fives and, in particular, the prevention of falls, poisoning and scalds. Design: A questionnaire was posted to managers of 851 children's centres, using stratified cluster sampling. The questionnaire included questions on injury prevention activities undertaken by the centre, knowledge and attitudes to injury prevention, partnership working, and barriers and facilitators to injury prevention. Setting: England. Results: A response rate of 61% was achieved. Most respondents (98%) agreed that children's centres can be effective in preventing accidents. Over half of the respondents (59%) did not know whether there was an injury prevention group in their area, and 22% did not know whether there was a home safety equipment scheme. Only 12% knew the major cause of injury deaths in children under five. A variety of activities were being undertaken including one to one advice and issuing leaflets. However, for some important topics such as baby walkers and disposal of unwanted medicines, no advice was being provided in some areas. Lack of funding (52%) and lack of capacity (39%) were the most common reasons cited as barriers to injury prevention activities. Conclusion: Injury prevention is an important activity undertaken by children's centres. Given their position in the heart of the community, their potential as an agency to prevent injuries has been highlighted and recommended. Further support and resource will be needed if they are to fully develop their potential in preventing unintentional injuries in the home.

Published
2016
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