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1. Genetic architecture of routinely acquired blood tests in a British South Asian cohort

Author: Jacobs, Benjamin M., Stow, Daniel, Hodgson, Sam, Zöllner, Julia, Samuel, Miriam, Kanoni, Stavroula, Bidi, Saeed, Walter, Klaudia, Langenberg, Claudia, Dobson, Ruth, Finer, Sarah, Morton, Caroline, Siddiqui, Moneeza K., Martin, Hilary C., Pietzner, Maik, Mathur, Rohini, and van Heel, David A.
Published: 2024
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2. Development and evaluation of an emergency department serious game for undergraduate medical students

Author: Aster, Alexandra, Hütt, Christopher, Morton, Caroline, Flitton, Maxwell, Laupichler, Matthias Carl, and Raupach, Tobias
Published: 2024
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3. Impact of vaccination on the association of COVID-19 with cardiovascular diseases: An OpenSAFELY cohort study

Author: Cezard, Genevieve I., Denholm, Rachel E., Knight, Rochelle, Wei, Yinghui, Teece, Lucy, Toms, Renin, Forbes, Harriet J., Walker, Alex J., Fisher, Louis, Massey, Jon, Hopcroft, Lisa E. M., Horne, Elsie M. F., Taylor, Kurt, Palmer, Tom, Arab, Marwa Al, Cuitun Coronado, Jose Ignacio, Ip, Samantha H. Y., Davy, Simon, Dillingham, Iain, Bacon, Sebastian, Mehrkar, Amir, Morton, Caroline E., Greaves, Felix, Hyams, Catherine, Davey Smith, George, Macleod, John, Chaturvedi, Nishi, Goldacre, Ben, Whiteley, William N., Wood, Angela M., Sterne, Jonathan A. C., and Walker, Venexia
Published: 2024
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4. Altered IL-6 signalling and risk of tuberculosis: a multi-ancestry mendelian randomisation study

Author: Akhtar, Shaheen, Anwar, Mohammad, Asgar, Omar, Ashraf, Samina, Bidi, Saeed, Breen, Gerome, Broster, James, Chung, Raymond, Collier, David, Curtis, Charles J, Chaudhary, Shabana, Colligan, Grainne, Deloukas, Panos, Durham, Ceri, Durrani, Faiza, Eto, Fabiola, Finer, Sarah, Gafton, Joseph, Angel, Ana, Griffiths, Chris, Harvey, Joanne, Heng, Teng, Hodgson, Sam, Huang, Qin Qin, Hurles, Matt, Hunt, Karen A, Hussain, Shapna, Islam, Kamrul, Iyer, Vivek, Jacobs, Benjamin M, Kalantzis, Georgios, Khan, Ahsan, Langenberg, Claudia, Lavery, Cath, Lee, Sang Hyuck, MacArthur, Daniel, Malik, Sidra, Malawsky, Daniel, Martin, Hilary, Mason, Dan, Mathur, Rohini, Mazid, Mohammed Bodrul, McDermott, John, Morton, Caroline, Newman, Bill, Owor, Elizabeth, Qureshi, Asma, Ramachandrappa, Shwetha, Raza, Mehru, Russell, Jessry, Safa, Nishat, Samuel, Miriam, Siddiqui, Moneeza, Simpson, Michael, Solly, John, Spreckley, Marie, Stow, Daniel, Taylor, Michael, Trembath, Richard C, Tricker, Karen, van Heel, David A, Walter, Klaudia, Winckley, Caroline, Wood, Suzanne, Wright, John, Zengeya, Ishevanhu, Zöllner, Julia, Schurz, Haiko, Naranbhai, Vivek, Yates, Tom A, Gilchrist, James J, Parks, Tom, Dodd, Peter J, Möller, Marlo, Hoal, Eileen G, Morris, Andrew P, Hill, Adrian V S, van Crevel, Reinout, van Laarhoven, Arjan, Ottenhoff, Tom H M, Metspalu, Andres, Magi, Reedik, Meyer, Christian G, Ellis, Magda, Thye, Thorsten, Mahasirimongkol, Surakameth, Pasomsub, Ekawat, Tokunaga, Katsushi, Omae, Yosuke, Yanai, Hideki, Mushiroda, Taisei, Kubo, Michiaki, Takahashi, Atsushi, Kamatani, Yoichiro, Alisjahbana, Bachti, Liu, Wei, Sheng, A-dong, Yang, Yurong, Hamilton, Fergus, Ghazal, Peter, Timpson, Nicholas J, and Pollara, Gabriele
Published: 2025
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5. Incidence of diabetes after SARS-CoV-2 infection in England and the implications of COVID-19 vaccination: a retrospective cohort study of 16 million people

Author: Al Arab, Marwa, Almaghrabi, Fatima, Andrews, Colm, Badrick, Ellena, Baz, Sarah, Beckford, Chelsea, Berman, Samantha, Bolton, Tom, Booth, Charlotte, Bowyer, Ruth, Boyd, Andy, Bridger-Staatz, Charis, Brophy, Sinead, Campbell, Archie, Campbell, Kirsteen C, Carnemolla, Alisia, Carpentieri, Jd, Cezard, Genevieve, Chaturvedi, Nishi, Cheetham, Nathan, Costello, Ruth, Cowling, Thomas, Crane, Matthew, Cuitun Coronado, Jose Ignacio, Curtis, Helen, Denaxas, Spiros, Denholm, Rachel, Di Gessa, Giorgio, Dobson, Richard, Douglas, Ian, Evans, Katharine M, Fang, Chao, Ferreira, Vanessa, Finnigan, Lucy, Fisher, Louis, Flaig, Robin, Folarin, Amos, Forbes, Harriet, Foster, Diane, Fox, Laura, Freydin, Maxim, Garcia, Paz, Gibson, Andy, Glen, Fiona, Goldacre, Ben, Goncalves Soares, Ana, Greaves, Felix, Green, Amelia, Green, Mark, Green, Michael, Griffith, Gareth, Hamill Howes, Lee, Hamilton, Olivia, Herbet, Annie, Herrett, Emily, Hopcroft, Lisa, Horne, Elsie, Hou, Bo, Hughes, Alun, Hulme, William, Huntley, Lizzie, Ip, Samantha, Jacques, Wels, Jezzard, Peter, Jones, Louise, Kanagaratnam, Arun, Karthikeyan Suseeladevi, Arun, Katikireddi, Vittal, Kellas, John, Kennedy, Jonathan I, Kibble, Milla, Knight, Rochelle, Knueppel, Anika, Kopasker, Daniel, Kromydas, Theocharis, Kwong, Alex, Langan, Sinead, Lemanska, Agnieszka, Lukaschuk, Elena, Mackenna, Brain, Macleod, John, Maddock, Jane, Mahalingasivam, Viyaasan, Mansfield, Kathryn, McArdle, Fintan, McCartney, Daniel, McEachan, Rosie, McElroy, Eoin, McLachlan, Stela, Mitchell, Ruth, Moltrecht, Bettina, Morley, Jess, Nab, Linda, Neubauer, Stefan, Nigrelli, Lidia, North, Teri, Northstone, Kate, Oakley, Jacqui, Palmer, Tom, Park, Chloe, Parker, Michael, Parsons, Sam, Patalay, Praveetha, Patel, Kishan, Perez-Reche, Francisco, Piechnik, Stefan, Piehlmaier, Dominik, Ploubidis, George, Rafeti, Elena, Raman, Betty, Ranjan, Yatharth, Rapala, Alicja, Rhead, Rebecca, Roberts, Amy, Sampri, Alexia, Sanders, Zeena-Britt, Santorelli, Gillian, Saunders, Laura C, Shah, Anoop, Shah, Syed Ahmar, Sharp, Steve, Shaw, Richard, Sheard, Laura, Sheikh, Aziz, Silverwood, Richard, Smeeth, Liam, Smith, Stephen, Stafford, Jean, Steptoe, Andrew, Sterne, Jonathan, Steves, Claire, Stewart, Callum, Taylor, Kurt, Tazare, John, Teece, Lucy, Thomas, Richard, Thompson, Ellen, Tilling, Kate, Timpson, Nicholas, Tomlinson, Laurie, Toms, Renin, Tunnicliffe, Elizabeth, Turner, Emma L, Walker, Alex, Walker, Venexia, Walter, Scott, Wang, Kevin, Wei, Yinghui, Whitehorn, Rebecca, Wielgoszewska, Bozena, Wild, James M, Willan, Kathryn, Willans, Robert, Williams, Dylan, Wong, Andrew, Wood, Angela, Woodward, Hannah, Wright, John, Yang, Tiffany, Zaninotto, Paola, Zheng, Bang, Zhu, Jingmin, Eastwood, Sophie, Horne, Elsie M F, Massey, Jon, Hopcroft, Lisa E M, Cuitun Coronado, Jose, Davy, Simon, Dillingham, Iain, Morton, Caroline, and Sterne, Jonathan A C
Published: 2024
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6. Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: An observational cohort study using the OpenSAFELY platform

Author: Samuel, Miriam, Park, Robin Y., Eastwood, Sophie V., Eto, Fabiola, Morton, Caroline E., Stow, Daniel, Bacon, Sebastian, Mehrkar, Amir, Morley, Jessica, Dillingham, Iain, Inglesby, Peter, Hulme, William J., Khunti, Kamlesh, Mathur, Rohini, Valabhji, Jonathan, MacKenna, Brian, and Finer, Sarah
Subjects: Epidemics -- Complications and side effects -- Social aspects -- Control -- United Kingdom, Weight gain -- Forecasts and trends -- Health aspects -- Causes of, Market trend/market analysis, Biological sciences
Abstract: Background Obesity and rapid weight gain are established risk factors for noncommunicable diseases and have emerged as independent risk factors for severe disease following Coronavirus Disease 2019 (COVID-19) infection. Restrictions imposed to reduce COVID-19 transmission resulted in profound societal changes that impacted many health behaviours, including physical activity and nutrition, associated with rate of weight gain. We investigated which clinical and sociodemographic characteristics were associated with rapid weight gain and the greatest acceleration in rate of weight gain during the pandemic among adults registered with an English National Health Service (NHS) general practitioner (GP) during the COVID-19 pandemic. Methods and findings With the approval of NHS England, we used the OpenSAFELY platform inside TPP to conduct an observational cohort study of routinely collected electronic healthcare records. We investigated changes in body mass index (BMI) values recorded in English primary care between March 2015 and March 2022. We extracted data on 17,742,365 adults aged 18 to 90 years old (50.1% female, 76.1% white British) registered with an English primary care practice. We estimated individual rates of weight gain before ([delta]-prepandemic) and during ([delta]-pandemic) the pandemic and identified individuals with rapid weight gain (>0.5 kg/m.sup.2 /year) in each period. We also estimated the change in rate of weight gain between the prepandemic and pandemic period ([delta]-change = [delta]-pandemic-[delta]-prepandemic) and defined extreme accelerators as the 10% of individuals with the greatest increase in their rate of weight gain ([delta]-change [greater than or equal to]1.84 kg/m.sup.2 /year) between these periods. We estimated associations with these outcomes using multivariable logistic regression adjusted for age, sex, index of multiple deprivation (IMD), and ethnicity. P-values were generated in regression models. The median BMI of our study population was 27.8 kg/m.sup.2, interquartile range (IQR) [24.3, 32.1] in 2019 (March 2019 to February 2020) and 28.0 kg/m.sup.2, IQR [24.4, 32.6] in 2021. Rapid pandemic weight gain was associated with sex, age, and IMD. Male sex (male versus female: adjusted odds ratio (aOR) 0.76, 95% confidence interval (95% CI) [0.76, 0.76], p < 0.001), older age (e.g., 50 to 59 years versus 18 to 29 years: aOR 0.60, 95% CI [0.60, 0.61], p < 0.001]); and living in less deprived areas (least-deprived-IMD-quintile versus most-deprived: aOR 0.77, 95% CI [0.77, 0.78] p < 0.001) reduced the odds of rapid weight gain. Compared to white British individuals, all other ethnicities had lower odds of rapid pandemic weight gain (e.g., Indian versus white British: aOR 0.69, 95% CI [0.68, 0.70], p < 0.001). Long-term conditions (LTCs) increased the odds, with mental health conditions having the greatest effect (e.g., depression (aOR 1.18, 95% CI [1.17, 1.18], p < 0.001)). Similar characteristics increased odds of extreme acceleration in the rate of weight gain between the prepandemic and pandemic periods. However, changes in healthcare activity during the pandemic may have introduced new bias to the data. Conclusions We found female sex, younger age, deprivation, white British ethnicity, and mental health conditions were associated with rapid pandemic weight gain and extreme acceleration in rate of weight gain between the prepandemic and pandemic periods. Our findings highlight the need to incorporate sociodemographic, physical, and mental health characteristics when formulating research, policies, and interventions targeting BMI in the period of post pandemic service restoration and in future pandemic planning., Author(s): Miriam Samuel 1,*, Robin Y. Park 2, Sophie V. Eastwood 3, Fabiola Eto 1, Caroline E. Morton 1,2, Daniel Stow 1, Sebastian Bacon 2, Amir Mehrkar 2, Jessica Morley [...]
Published: 2024
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7. An LGR6 frameshift variant abrogates receptor expression on select leukocyte subsets and is associated with viral infections

Author: Akhtar, Shaheen, Anwar, Mohammad, Arciero, Elena, Asgar, Omar, Ashraf, Samina, Bidi, Saeed, Breen, Gerome, Broster, James, Chaudhary, Shabana, Chung, Raymond, Clinch, Megan, Collier, David, Colligan, Grainne, Curtis, Charles J., Deloukas, Panos, Durham, Ceri, Durrani, Faiza, Eto, Fabiola, Finer, Sarah, Gafton, Joseph, Angel Garcia, Ana Cristina, Griffiths, Chris, Harvey, Joanne, van Heel, David A., Heng, Teng, Hodgson, Sam, Huang, Qin Qin, Hurles, Matt, Hunt, Karen A, Hussain, Shapna, Islam, Kamrul, Iyer, Vivek, Jacobs, Benjamin M., Khan, Ahsan, Langenberg, Claudia, Lavery, Cath, Lee, Sang Hyuck, MacArthur, Daniel, Malik, Sidra, Malawsky, Daniel, Martin, Hilary, Mason, Dan, Mathur, Rohini, Mazid, Mohammed Bodrul, McDermott, John, Morton, Caroline, Newman, Bill, Owor, Elizabeth, Qureshi, Asma, Ramachandrappa, Shwetha, Raza, Mehru, Russell, Jessry, Safa, Nishat, Samuel, Miriam, Simpson, Michael, Solly, John, Spreckley, Marie, Stow, Daniel, Taylor, Michael, Trembath, Richard C., Tricker, Karen, Walter, Klaudia, Winckley, Caroline, Wood, Suzanne, Wright, John, Zengeya, Ishevanhu, Zöllner, Julia, Gomez, Esteban A., De Matteis, Roberta, Udomjarumanee, Palita, Munroe, Patricia B., and Dalli, Jesmond
Published: 2024
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8. Clinical coding of long COVID in primary care 2020–2023 in a cohort of 19 million adults: an OpenSAFELY analysis

Author: Walker, Alex, Green, Amelia, Mehrkar, Amir, Schaffer, Andrea, Brown, Andrew, Goldacre, Ben, Butler-Cole, Ben, MacKenna, Brian, Morton, Caroline, Walters, Caroline, Stables, Catherine, Cunningham, Christine, Wood, Christopher, Andrews, Colm, Evans, David, Hickman, George, Curtis, Helen, Drysdale, Henry, Dillingham, Iain, Morley, Jessica, Massey, Jon, Nab, Linda, Hopcroft, Lisa, Fisher, Louis, Bridges, Lucy, Wiedemann, Milan, DeVito, Nicholas, Macdonald, Orla, Inglesby, Peter, Smith, Rebecca, Croker, Richard, Park, Robin, Higgins, Rose, Bacon, Sebastian, Davy, Simon, Maude, Steven, O'Dwyer, Thomas, Ward, Tom, Speed, Victoria, Hulme, William, Hart, Liam, Stokes, Pete, Bhaskaran, Krishnan, Costello, Ruth, Cowling, Thomas, Douglas, Ian, Eggo, Rosalind, Evans, Stephen, Forbes, Harriet, Grieve, Richard, Grint, Daniel, Herrett, Emily, Langan, Sinead, Mahalingasivam, Viyaasan, Mansfield, Kathryn, Mathur, Rohini, McDonald, Helen, Parker, Edward, Rentsch, Christopher, Schultze, Anna, Smeeth, Liam, Tazare, John, Tomlinson, Laurie, Walker, Jemma, Williamson, Elizabeth, Wing, Kevin, Wong, Angel, Zheng, Bang, Bates, Christopher, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, O'Hanlon, Shaun, Eavis, Alex, Jarvis, Richard, Avramov, Dima, Griffiths, Paul, Fowles, Aaron, Parkes, Nasreen, Perera, Rafael, Harrison, David, Khunti, Kamlesh, Sterne, Jonathan, Quint, Jennifer, Henderson, Alasdair D., Butler-Cole, Ben FC., Tomlinson, Laurie A., Marks, Michael, Jit, Mark, Briggs, Andrew, Lin, Liang-Yu, Carlile, Oliver, Bates, Chris, Bacon, Sebastian CJ., Dennison, William A., Costello, Ruth E., Wei, Yinghui, Walker, Alex J., and Eggo, Rosalind M.
Published: 2024
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9. Impact of long COVID on health-related quality-of-life: an OpenSAFELY population cohort study using patient-reported outcome measures (OpenPROMPT)

Author: Walker, Alex, Green, Amelia, Mehrkar, Amir, Schaffer, Andrea, Brown, Andrew, Goldacre, Ben, Butler-Cole, Ben, MacKenna, Brian, Morton, Caroline, Walters, Caroline, Stables, Catherine, Cunningham, Christine, Wood, Christopher, Andrews, Colm, Evans, David, Hickman, George, Curtis, Helen, Drysdale, Henry, Dillingham, Iain, Morley, Jessica, Massey, Jon, Nab, Linda, Hopcroft, Lisa, Fisher, Louis, Bridges, Lucy, Wiedemann, Milan, DeVito, Nicholas, Macdonald, Orla, Inglesby, Peter, Smith, Rebecca, Croker, Richard, Park, Robin, Higgins, Rose, Bacon, Sebastian, Davy, Simon, Maude, Steven, O'Dwyer, Thomas, Ward, Tom, Speed, Victoria, Hulme, William, Hart, Liam, Stokes, Pete, Bhaskaran, Krishnan, Costello, Ruth, Cowling, Thomas, Douglas, Ian, Eggo, Rosalind, Evans, Stephen, Forbes, Harriet, Grieve, Richard, Grint, Daniel, Herrett, Emily, Langan, Sinead, Mahalingasivam, Viyaasan, Mansfield, Kathryn, Mathur, Rohini, McDonald, Helen, Parker, Edward, Rentsch, Christopher, Schultze, Anna, Smeeth, Liam, Tazare, John, Tomlinson, Laurie, Walker, Jemma, Williamson, Elizabeth, Wing, Kevin, Wong, Angel, Zheng, Bang, Bates, Christopher, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, O'Hanlon, Shaun, Eavis, Alex, Jarvis, Richard, Avramov, Dima, Griffiths, Paul, Fowles, Aaron, Parkes, Nasreen, Perera, Rafael, Harrison, David, Khunti, Kamlesh, Sterne, Jonathan, Quint, Jennifer, Carlile, Oliver, Briggs, Andrew, Henderson, Alasdair D., Butler-Cole, Ben F.C., Tomlinson, Laurie A., Marks, Michael, Jit, Mark, Lin, Liang-Yu, Bates, Chris, Bacon, Sebastian C.J., Dennison, William A., Costello, Ruth E., Walker, Alex J., and Eggo, Rosalind M.
Published: 2024
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10. [Secondary scene : Gore High School]; A locked door and heavy curtain keep worlds apart; Raising the driving age to 16 will not reduce road toll; Landmarks; Practice pays

Author: Gilkison, Laura, Davie, Eleanor, and Morton, Caroline
Published: 2011

11. Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis

Author: Morley, Jessica, Morton, Caroline, Karpathakis, Kassandra, Taddeo, Mariarosaria, and Floridi, Luciano
Subjects: Computer Science - Artificial Intelligence
Abstract: The potential presented by Artificial Intelligence (AI) for healthcare has long been recognised by the technical community. More recently, this potential has been recognised by policymakers, resulting in considerable public and private investment in the development of AI for healthcare across the globe. Despite this, excepting limited success stories, real-world implementation of AI systems into front-line healthcare has been limited. There are numerous reasons for this, but a main contributory factor is the lack of internationally accepted, or formalised, regulatory standards to assess AI safety and impact and effectiveness. This is a well-recognised problem with numerous ongoing research and policy projects to overcome it. Our intention here is to contribute to this problem-solving effort by seeking to set out a minimally viable framework for evaluating the safety, acceptability and efficacy of AI systems for healthcare. We do this by conducting a systematic search across Scopus, PubMed and Google Scholar to identify all the relevant literature published between January 1970 and November 2020 related to the evaluation of: output performance; efficacy; and real-world use of AI systems, and synthesising the key themes according to the stages of evaluation: pre-clinical (theoretical phase); exploratory phase; definitive phase; and post-market surveillance phase (monitoring). The result is a framework to guide AI system developers, policymakers, and regulators through a sufficient evaluation of an AI system designed for use in healthcare.
Published: 2021

12. Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform

Author: Chaturvedi, Nishi, Park, Chloe, Carnemolla, Alisia, Williams, Dylan, Knueppel, Anika, Boyd, Andy, Turner, Emma L., Evans, Katharine M., Thomas, Richard, Berman, Samantha, McLachlan, Stela, Crane, Matthew, Whitehorn, Rebecca, Oakley, Jacqui, Foster, Diane, Woodward, Hannah, Campbell, Kirsteen C., Timpson, Nicholas, Kwong, Alex, Soares, Ana Goncalves, Griffith, Gareth, Toms, Renin, Jones, Louise, Annie, Herbert, Mitchell, Ruth, Palmer, Tom, Sterne, Jonathan, Walker, Venexia, Huntley, Lizzie, Fox, Laura, Denholm, Rachel, Knight, Rochelle, Northstone, Kate, Kanagaratnam, Arun, Horne, Elsie, Forbes, Harriet, North, Teri, Taylor, Kurt, Arab, Marwa A.L., Walker, Scott, Coronado, Jose I.C., Karthikeyan, Arun S., Ploubidis, George, Moltrecht, Bettina, Booth, Charlotte, Parsons, Sam, Wielgoszewska, Bozena, Bridger-Staatz, Charis, Steves, Claire, Thompson, Ellen, Garcia, Paz, Cheetham, Nathan, Bowyer, Ruth, Freydin, Maxim, Roberts, Amy, Goldacre, Ben, Walker, Alex, Morley, Jess, Hulme, William, Nab, Linda, Fisher, Louis, MacKenna, Brian, Andrews, Colm, Curtis, Helen, Hopcroft, Lisa, Green, Amelia, Patalay, Praveetha, Maddock, Jane, Patel, Kishan, Stafford, Jean, Jacques, Wels, Tilling, Kate, Macleod, John, McElroy, Eoin, Shah, Anoop, Silverwood, Richard, Denaxas, Spiros, Flaig, Robin, McCartney, Daniel, Campbell, Archie, Tomlinson, Laurie, Tazare, John, Zheng, Bang, Smeeth, Liam, Herrett, Emily, Cowling, Thomas, Mansfield, Kate, Costello, Ruth E., Wang, Kevin, Mansfield, Kathryn, Mahalingasivam, Viyaasan, Douglas, Ian, Langan, Sinead, Brophy, Sinead, Parker, Michael, Kennedy, Jonathan, McEachan, Rosie, Wright, John, Willan, Kathryn, Badrick, Ellena, Santorelli, Gillian, Yang, Tiffany, Hou, Bo, Steptoe, Andrew, Giorgio, Di Gessa, Zhu, Jingmin, Zaninotto, Paola, Wood, Angela, Cezard, Genevieve, Ip, Samantha, Bolton, Tom, Sampri, Alexia, Rafeti, Elena, Almaghrabi, Fatima, Sheikh, Aziz, Shah, Syed A., Katikireddi, Vittal, Shaw, Richard, Hamilton, Olivia, Green, Michael, Kromydas, Theocharis, Kopasker, Daniel, Greaves, Felix, Willans, Robert, Glen, Fiona, Sharp, Steve, Hughes, Alun, Wong, Andrew, Howes, Lee Hamill, Rapala, Alicja, Nigrelli, Lidia, McArdle, Fintan, Beckford, Chelsea, Raman, Betty, Dobson, Richard, Folarin, Amos, Stewart, Callum, Ranjan, Yatharth, Carpentieri, Jd, Sheard, Laura, Fang, Chao, Baz, Sarah, Gibson, Andy, Kellas, John, Neubauer, Stefan, Piechnik, Stefan, Lukaschuk, Elena, Saunders, Laura C., Wild, James M., Smith, Stephen, Jezzard, Peter, Tunnicliffe, Elizabeth, Sanders, Zeena-Britt, Finnigan, Lucy, Ferreira, Vanessa, Green, Mark, Rhead, Rebecca, Kibble, Milla, Wei, Yinghui, Lemanska, Agnieszka, Perez-Reche, Francisco, Piehlmaier, Dominik, Teece, Lucy, Parker, Edward, Walker, Alex J., Inglesby, Peter, Curtis, Helen J., Morton, Caroline E., Morley, Jessica, Mehrkar, Amir, Bacon, Sebastian C.J., Hickman, George, Croker, Richard, Evans, David, Ward, Tom, DeVito, Nicholas J., Green, Amelia C.A., Massey, Jon, Smith, Rebecca M., Hulme, William J., Davy, Simon, Andrews, Colm D., Hopcroft, Lisa E.M., Drysdale, Henry, Dillingham, Iain, Park, Robin Y., Higgins, Rose, Cunningham, Christine, Wiedemann, Milan, Maude, Steven, Macdonald, Orla, Butler-Cole, Ben F.C., O'Dwyer, Thomas, Stables, Catherine L., Wood, Christopher, Brown, Andrew D., Speed, Victoria, Bridges, Lucy, Schaffer, Andrea L., Walters, Caroline E., Rentsch, Christopher T., Bhaskaran, Krishnan, Schultze, Anna, Williamson, Elizabeth J., McDonald, Helen I., Tomlinson, Laurie A., Mathur, Rohini, Eggo, Rosalind M., Wing, Kevin, Wong, Angel Y.S., Grieve, Richard, Grint, Daniel J., Mansfield, Kathryn E., Douglas, Ian J., Evans, Stephen J.W., Walker, Jemma L., Cowling, Thomas E., Herrett, Emily L., Parker, Edward P.K., Bates, Christopher, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, O'Hanlon, Shaun, Eavis, Alex, Jarvis, Richard, Avramov, Dima, Griffiths, Paul, Fowles, Aaron, Parkes, Nasreen, Nicholson, Brian, Perera, Rafael, Harrison, David, Khunti, Kamlesh, Sterne, Jonathan AC., Quint, Jennifer, Henderson, Alasdair D., Carreira, Helena, Bidulka, Patrick, Warren-Gash, Charlotte, Hayes, Joseph F., Quint, Jennifer K., Katikireddi, Srinivasa Vittal, and Langan, Sinéad M.
Published: 2023
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13. Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022: a retrospective cohort study using the OpenSAFELY platform

Author: Nab, Linda, Parker, Edward P K, Andrews, Colm D, Hulme, William J, Fisher, Louis, Morley, Jessica, Mehrkar, Amir, MacKenna, Brian, Inglesby, Peter, Morton, Caroline E, Bacon, Sebastian C J, Hickman, George, Evans, David, Ward, Tom, Smith, Rebecca M, Davy, Simon, Dillingham, Iain, Maude, Steven, Butler-Cole, Ben F C, O’Dwyer, Thomas, Stables, Catherine L, Bridges, Lucy, Bates, Christopher, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, Zheng, Bang, Williamson, Elizabeth J, Eggo, Rosalind M, Evans, Stephen J W, Goldacre, Ben, Tomlinson, Laurie A, and Walker, Alex J
Published: 2023
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14. Risk of severe COVID-19 outcomes associated with immune-mediated inflammatory diseases and immune-modifying therapies: a nationwide cohort study in the OpenSAFELY platform

Author: MacKenna, Brian, Kennedy, Nicholas A, Mehrkar, Amir, Rowan, Anna, Galloway, James, Matthewman, Julian, Mansfield, Kathryn E, Bechman, Katie, Yates, Mark, Brown, Jeremy, Schultze, Anna, Norton, Sam, Walker, Alex J, Morton, Caroline E, Harrison, David, Bhaskaran, Krishnan, Rentsch, Christopher T, Williamson, Elizabeth, Croker, Richard, Bacon, Seb, Hickman, George, Ward, Tom, Davy, Simon, Green, Amelia, Fisher, Louis, Hulme, William, Bates, Chris, Curtis, Helen J, Tazare, John, Eggo, Rosalind M, Evans, David, Inglesby, Peter, Cockburn, Jonathan, McDonald, Helen I, Tomlinson, Laurie A, Mathur, Rohini, Wong, Angel Y S, Forbes, Harriet, Parry, John, Hester, Frank, Harper, Sam, Douglas, Ian J, Smeeth, Liam, Lees, Charlie W, Evans, Stephen J W, Goldacre, Ben, Smith, Catherine H, and Langan, Sinéad M
Published: 2022
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15. How Should Meaningful Evidence Be Generated From Datasets?

Author: Morton, Caroline E. and Rentsch, Christopher T.
Abstract: Datasets are often considered "ideal" when they are large and contain longitudinal and representative data. But even research that uses ideal datasets might not generate high-quality evidence. This article emphasizes the roles that transparency plays in enhancing observational epidemiological findings' credibility and relevance and argues that epidemiological research can produce high-quality evidence even when datasets are not ideal. This article also summarizes strategies for bolstering transparency in key phases of research planning and application. [ABSTRACT FROM AUTHOR]
Published: 2025
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16. Weight trends among adults with diabetes or hypertension during the COVID-19 pandemic: an observational study using OpenSAFELY.

Author: Samuel, Miriam, Park, Robin Y, Eastwood, Sophie V, Eto, Fabiola, Morton, Caroline E, Stow, Daniel, Bacon, Sebastian, Goldacre, Ben, Mehrkar, Amir, Morley, Jessica, Dillingham, Iain, Inglesby, Peter, Hulme, William J, Khunti, Kamlesh, Mathur, Rohini, Valabhji, Jonathan, MacKenna, Brian, and Finer, Sarah
Subjects: COVID-19 pandemic, TYPE 2 diabetes, WEIGHT gain, BODY mass index, PRIMARY health care
Abstract: Background: COVID-19 pandemic restrictions may have influenced behaviours related to weight. Aim: To describe patterns of weight change among adults living in England with type 2 diabetes (T2D) and/or hypertension during the pandemic. Design and setting: An observational cohort study using the routinely collected health data of approximately 40% of adults living in England, accessed through the OpenSAFELY service inside TPP. Method: Clinical and sociodemographic characteristics associated with rapid weight gain (>0.5 kg/m2/year) were investigated using multivariable logistic regression. Results: Data were extracted on adults with T2D (n = 1 231 455, 43.9% female, and 76.0% White British) or hypertension (n = 3 558 405, 49.7% female, and 84.3% White British). Adults with T2D lost weight overall (median δ = −0.1 kg/m2/year [interquartile range {IQR} −0.7–0.4]). However, rapid weight gain was common (20.7%) and associated with the following: sex (male versus female: adjusted odds ratio [aOR] 0.78 [95% confidence interval {CI} = 0.77 to 0.79]); age (older age reduced odds, for example, aged 60–69 years versus 18–29 years: aOR 0.66 [95% CI = 0.61 to 0.71]); deprivation (least deprived Index of Multiple Deprivation [IMD] quintile versus most deprived IMD quintile: aOR 0.87 [95% CI = 0.85 to 0.89]); White ethnicity (Black versus White: aOR 0.95 [95% CI = 0.92 to 0.98]); mental health conditions (for example, depression: aOR 1.13 [95% CI = 1.12 to 1.15]); and diabetes treatment (non-insulin treatment versus no pharmacological treatment: aOR 0.68 [95% CI = 0.67 to 0.69]). Adults with hypertension maintained stable weight overall (median δ = 0.0 kg/m2/year [IQR −0.6–0.5]); however, rapid weight gain was common (24.7%) and associated with similar characteristics as in T2D. Conclusion: Among adults living in England with T2D and/or hypertension, rapid pandemic weight gain was more common among females, younger adults, those living in more deprived areas, and those with mental health conditions. [ABSTRACT FROM AUTHOR]
Published: 2024
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17. Mortality among Care Home Residents in England during the first and second waves of the COVID-19 pandemic: an observational study of 4.3 million adults over the age of 65

Author: Schultze, Anna, Nightingale, Emily, Evans, David, Hulme, William, Rosello, Alicia, Bates, Chris, Cockburn, Jonathan, MacKenna, Brian, Curtis, Helen J, Morton, Caroline E, Croker, Richard, Bacon, Seb, McDonald, Helen I, Rentsch, Christopher T, Bhaskaran, Krishnan, Mathur, Rohini, Tomlinson, Laurie A, Williamson, Elizabeth J, Forbes, Harriet, Tazare, John, Grint, Daniel, Walker, Alex J, Inglesby, Peter, DeVito, Nicholas J, Mehrkar, Amir, Hickman, George, Davy, Simon, Ward, Tom, Fisher, Louis, Green, Amelia CA, Wing, Kevin, Wong, Angel YS, McManus, Robert, Parry, John, Hester, Frank, Harper, Sam, Evans, Stephen JW, Douglas, Ian J, Smeeth, Liam, Eggo, Rosalind M, Goldacre, Ben, and Leon, David A
Published: 2022
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18. Describing the population experiencing COVID-19 vaccine breakthrough following second vaccination in England: a cohort study from OpenSAFELY

Author: Green, Amelia, Curtis, Helen, Hulme, William, Williamson, Elizabeth, McDonald, Helen, Bhaskaran, Krishnan, Rentsch, Christopher, Schultze, Anna, MacKenna, Brian, Mahalingasivam, Viyaasan, Tomlinson, Laurie, Walker, Alex, Fisher, Louis, Massey, Jon, Andrews, Colm, Hopcroft, Lisa, Morton, Caroline, Croker, Richard, Morley, Jessica, Mehrkar, Amir, Bacon, Seb, Evans, David, Inglesby, Peter, Hickman, George, Ward, Tom, Davy, Simon, Mathur, Rohini, Tazare, John, Eggo, Rosalind, Wing, Kevin, Wong, Angel, Forbes, Harriet, Bates, Chris, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, Douglas, Ian, Evans, Stephen, Smeeth, Liam, and Goldacre, Ben
Published: 2022
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19. Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform

Author: Williamson, Elizabeth J., Tazare, John, Bhaskaran, Krishnan, McDonald, Helen I., Walker, Alex J., Tomlinson, Laurie, Wing, Kevin, Bacon, Sebastian, Bates, Chris, Curtis, Helen J., Forbes, Harriet J., Minassian, Caroline, Morton, Caroline E., Nightingale, Emily, Mehrkar, Amir, Evans, David, Nicholson, Brian D., Leon, David A., Inglesby, Peter, MacKenna, Brian, Davies, Nicholas G., DeVito, Nicholas J., Drysdale, Henry, Cockburn, Jonathan, Hulme, William J., Morley, Jessica, Douglas, Ian, Rentsch, Christopher T., Mathur, Rohini, Wong, Angel, Schultze, Anna, Croker, Richard, Parry, John, Hester, Frank, Harper, Sam, Grieve, Richard, Harrison, David A., Steyerberg, Ewout W., Eggo, Rosalind M., Diaz-Ordaz, Karla, Keogh, Ruth, Evans, Stephen J. W., Smeeth, Liam, and Goldacre, Ben
Published: 2022
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20. OpenSAFELY: A platform for analysing electronic health records designed for reproducible research

Author: Nab, Linda, primary, Schaffer, Andrea L., additional, Hulme, William, additional, DeVito, Nicholas J., additional, Dillingham, Iain, additional, Wiedemann, Milan, additional, Andrews, Colm D., additional, Curtis, Helen, additional, Fisher, Louis, additional, Green, Amelia, additional, Massey, Jon, additional, Walters, Caroline E., additional, Higgins, Rose, additional, Cunningham, Christine, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Hart, Liam, additional, Davy, Simon, additional, Evans, David, additional, Hickman, George, additional, Inglesby, Peter, additional, Morton, Caroline E., additional, Smith, Rebecca M., additional, Ward, Tom, additional, O'Dwyer, Thomas, additional, Maude, Steven, additional, Bridges, Lucy, additional, Butler‐Cole, Ben F. C., additional, Stables, Catherine L., additional, Stokes, Pete, additional, Bates, Chris, additional, Cockburn, Jonny, additional, Hester, Frank, additional, Parry, John, additional, Bhaskaran, Krishnan, additional, Schultze, Anna, additional, Rentsch, Christopher T., additional, Mathur, Rohini, additional, Tomlinson, Laurie A., additional, Williamson, Elizabeth J., additional, Smeeth, Liam, additional, Walker, Alex, additional, Bacon, Sebastian, additional, MacKenna, Brian, additional, and Goldacre, Ben, additional
Published: 2024
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21. Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform

Author: Bhaskaran, Krishnan, Bacon, Sebastian, Evans, Stephen JW, Bates, Chris J, Rentsch, Christopher T, MacKenna, Brian, Tomlinson, Laurie, Walker, Alex J, Schultze, Anna, Morton, Caroline E, Grint, Daniel, Mehrkar, Amir, Eggo, Rosalind M, Inglesby, Peter, Douglas, Ian J, McDonald, Helen I, Cockburn, Jonathan, Williamson, Elizabeth J, Evans, David, Curtis, Helen J, Hulme, William J, Parry, John, Hester, Frank, Harper, Sam, Spiegelhalter, David, Smeeth, Liam, and Goldacre, Ben
Published: 2021
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22. Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform

Author: Mathur, Rohini, Rentsch, Christopher T, Morton, Caroline E, Hulme, William J, Schultze, Anna, MacKenna, Brian, Eggo, Rosalind M, Bhaskaran, Krishnan, Wong, Angel Y S, Williamson, Elizabeth J, Forbes, Harriet, Wing, Kevin, McDonald, Helen I, Bates, Chris, Bacon, Seb, Walker, Alex J, Evans, David, Inglesby, Peter, Mehrkar, Amir, Curtis, Helen J, DeVito, Nicholas J, Croker, Richard, Drysdale, Henry, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, Douglas, Ian J, Tomlinson, Laurie, Evans, Stephen J W, Grieve, Richard, Harrison, David, Rowan, Kathy, Khunti, Kamlesh, Chaturvedi, Nishi, Smeeth, Liam, and Goldacre, Ben
Published: 2021
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23. Effect of pre-exposure use of hydroxychloroquine on COVID-19 mortality: a population-based cohort study in patients with rheumatoid arthritis or systemic lupus erythematosus using the OpenSAFELY platform

Author: Rentsch, Christopher T, DeVito, Nicholas J, MacKenna, Brian, Morton, Caroline E, Bhaskaran, Krishnan, Brown, Jeremy P, Schultze, Anna, Hulme, William J, Croker, Richard, Walker, Alex J, Williamson, Elizabeth J, Bates, Chris, Bacon, Seb, Mehrkar, Amir, Curtis, Helen J, Evans, David, Wing, Kevin, Inglesby, Peter, Mathur, Rohini, Drysdale, Henry, Wong, Angel Y S, McDonald, Helen I, Cockburn, Jonathan, Forbes, Harriet, Parry, John, Hester, Frank, Harper, Sam, Smeeth, Liam, Douglas, Ian J, Dixon, William G, Evans, Stephen J W, Tomlinson, Laurie, and Goldacre, Ben
Published: 2021
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24. HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform

Author: Bhaskaran, Krishnan, Rentsch, Christopher T, MacKenna, Brian, Schultze, Anna, Mehrkar, Amir, Bates, Chris J, Eggo, Rosalind M, Morton, Caroline E, Bacon, Sebastian C J, Inglesby, Peter, Douglas, Ian J, Walker, Alex J, McDonald, Helen I, Cockburn, Jonathan, Williamson, Elizabeth J, Evans, David, Forbes, Harriet J, Curtis, Helen J, Hulme, William J, Parry, John, Hester, Frank, Harper, Sam, Evans, Stephen J W, Smeeth, Liam, and Goldacre, Ben
Published: 2021
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25. Sharing Is Caring? International Society for Pharmacoepidemiology Review and Recommendations for Sharing Programming Code.

Author: Tazare, John, Wang, Shirley V., Gini, Rosa, Prieto‐Alhambra, Daniel, Arlett, Peter, Morales Leaver, Daniel R., Morton, Caroline, Logie, John, Popovic, Jennifer, Donegan, Katherine, Schneeweiss, Sebastian, Douglas, Ian, and Schultze, Anna
Abstract: Purpose: There is increasing recognition of the importance of transparency and reproducibility in scientific research. This study aimed to quantify the extent to which programming code is publicly shared in pharmacoepidemiology, and to develop a set of recommendations on this topic. Methods: We conducted a literature review identifying all studies published in Pharmacoepidemiology and Drug Safety (PDS) between 2017 and 2022. Data were extracted on the frequency and types of programming code shared, and other key open science practices (clinical codelist sharing, data sharing, study preregistration, and stated use of reporting guidelines and preprinting). We developed six recommendations for investigators who choose to share code and gathered feedback from members of the International Society for Pharmacoepidemiology (ISPE). Results: Programming code sharing by articles published in PDS ranged from 1.8% in 2017 to 9.5% in 2022. It was more prevalent among articles with a methodological focus, simulation studies, and papers which also shared record‐level data. Conclusion: Programming code sharing is rare but increasing in pharmacoepidemiology studies published in PDS. We recommend improved reporting of whether code is shared and how available code can be accessed. When sharing programming code, we recommend the use of permanent digital identifiers, appropriate licenses, and, where possible, adherence to good software practices around the provision of metadata and documentation, computational reproducibility, and data privacy. [ABSTRACT FROM AUTHOR]
Published: 2024
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26. Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform

Author: Schultze, Anna, Walker, Alex J, MacKenna, Brian, Morton, Caroline E, Bhaskaran, Krishnan, Brown, Jeremy P, Rentsch, Christopher T, Williamson, Elizabeth, Drysdale, Henry, Croker, Richard, Bacon, Seb, Hulme, William, Bates, Chris, Curtis, Helen J, Mehrkar, Amir, Evans, David, Inglesby, Peter, Cockburn, Jonathan, McDonald, Helen I, Tomlinson, Laurie, Mathur, Rohini, Wing, Kevin, Wong, Angel Y S, Forbes, Harriet, Parry, John, Hester, Frank, Harper, Sam, Evans, Stephen J W, Quint, Jennifer, Smeeth, Liam, Douglas, Ian J, and Goldacre, Ben
Published: 2020
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27. Sharing is caring? International Society of Pharmacoepidemiology review and recommendations for sharing of programming code

Author: Tazare, John, primary, Wang, Shirley, additional, Gini, Rosa, additional, Alhambra, Daniel Prieto, additional, Arlett, Peter, additional, Morales, Daniel, additional, Morton, Caroline, additional, Logie, John, additional, Popovic, Jennifer, additional, Donegan, Katherine, additional, Schneeweiss, Sebastian, additional, Douglas, Ian, additional, and Schultze, Anna, additional
Published: 2024
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28. Ethnic differences in depression and anxiety among adults with atopic eczema: Population‐based matched cohort studies within UK primary care

Author: Adesanya, Elizabeth I., primary, Henderson, Alasdair, additional, Hayes, Joseph F., additional, Lewin, Alexandra, additional, Mathur, Rohini, additional, Mulick, Amy, additional, Morton, Caroline, additional, Smith, Catherine, additional, Langan, Sinéad M., additional, and Mansfield, Kathryn E., additional
Published: 2024
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29. Why researchers should share their analytic code

Author: Goldacre, Ben, Morton, Caroline E, and DeVito, Nicholas J
Published: 2019

30. Factors associated with COVID-19-related death using OpenSAFELY

Author: Williamson, Elizabeth J., Walker, Alex J., Bhaskaran, Krishnan, Bacon, Seb, Bates, Chris, Morton, Caroline E., Curtis, Helen J., Mehrkar, Amir, Evans, David, Inglesby, Peter, Cockburn, Jonathan, McDonald, Helen I., MacKenna, Brian, Tomlinson, Laurie, Douglas, Ian J., Rentsch, Christopher T., Mathur, Rohini, Wong, Angel Y. S., Grieve, Richard, Harrison, David, Forbes, Harriet, Schultze, Anna, Croker, Richard, Parry, John, Hester, Frank, Harper, Sam, Perera, Rafael, Evans, Stephen J. W., Smeeth, Liam, and Goldacre, Ben
Published: 2020
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31. Effectiveness of a serious game addressing guideline adherence: cohort study with 1.5-year follow-up

Author: Raupach, Tobias, de Temple, Insa, Middeke, Angélina, Anders, Sven, Morton, Caroline, and Schuelper, Nikolai
Published: 2021
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32. Incidence of diabetes after SARS-CoV-2 infection in England and the implications of COVID-19 vaccination: a retrospective cohort study of 16 million people

Author: Taylor, Kurt, Eastwood, Sophie, Walker, Venexia, Cezard, Genevieve, Knight, Rochelle, Al Arab, Marwa, Wei, Yinghui, Horne, Elsie M F, Teece, Lucy, Forbes, Harriet, Walker, Alex, Fisher, Louis, Massey, Jon, Hopcroft, Lisa E M, Palmer, Tom, Cuitun Coronado, Jose, Ip, Samantha, Davy, Simon, Dillingham, Iain, Morton, Caroline, Greaves, Felix, Macleod, John, Goldacre, Ben, Wood, Angela, Chaturvedi, Nishi, Sterne, Jonathan A C, Denholm, Rachel, Al Arab, Marwa, Almaghrabi, Fatima, Andrews, Colm, Badrick, Ellena, Baz, Sarah, Beckford, Chelsea, Berman, Samantha, Bolton, Tom, Booth, Charlotte, Bowyer, Ruth, Boyd, Andy, Bridger-Staatz, Charis, Brophy, Sinead, Campbell, Archie, Campbell, Kirsteen C, Carnemolla, Alisia, Carpentieri, Jd, Cezard, Genevieve, Chaturvedi, Nishi, Cheetham, Nathan, Costello, Ruth, Cowling, Thomas, Crane, Matthew, Cuitun Coronado, Jose Ignacio, Curtis, Helen, Denaxas, Spiros, Denholm, Rachel, Di Gessa, Giorgio, Dobson, Richard, Douglas, Ian, Evans, Katharine M, Fang, Chao, Ferreira, Vanessa, Finnigan, Lucy, Fisher, Louis, Flaig, Robin, Folarin, Amos, Forbes, Harriet, Foster, Diane, Fox, Laura, Freydin, Maxim, Garcia, Paz, Gibson, Andy, Glen, Fiona, Goldacre, Ben, Goncalves Soares, Ana, Greaves, Felix, Green, Amelia, Green, Mark, Green, Michael, Griffith, Gareth, Hamill Howes, Lee, Hamilton, Olivia, Herbet, Annie, Herrett, Emily, Hopcroft, Lisa, Horne, Elsie, Hou, Bo, Hughes, Alun, Hulme, William, Huntley, Lizzie, Ip, Samantha, Jacques, Wels, Jezzard, Peter, Jones, Louise, Kanagaratnam, Arun, Karthikeyan Suseeladevi, Arun, Katikireddi, Vittal, Kellas, John, Kennedy, Jonathan I, Kibble, Milla, Knight, Rochelle, Knueppel, Anika, Kopasker, Daniel, Kromydas, Theocharis, Kwong, Alex, Langan, Sinead, Lemanska, Agnieszka, Lukaschuk, Elena, Mackenna, Brain, Macleod, John, Maddock, Jane, Mahalingasivam, Viyaasan, Mansfield, Kathryn, McArdle, Fintan, McCartney, Daniel, McEachan, Rosie, McElroy, Eoin, McLachlan, Stela, Mitchell, Ruth, Moltrecht, Bettina, Morley, Jess, Nab, Linda, Neubauer, Stefan, Nigrelli, Lidia, North, Teri, Northstone, Kate, Oakley, Jacqui, Palmer, Tom, Park, Chloe, Parker, Michael, Parsons, Sam, Patalay, Praveetha, Patel, Kishan, Perez-Reche, Francisco, Piechnik, Stefan, Piehlmaier, Dominik, Ploubidis, George, Rafeti, Elena, Raman, Betty, Ranjan, Yatharth, Rapala, Alicja, Rhead, Rebecca, Roberts, Amy, Sampri, Alexia, Sanders, Zeena-Britt, Santorelli, Gillian, Saunders, Laura C, Shah, Anoop, Shah, Syed Ahmar, Sharp, Steve, Shaw, Richard, Sheard, Laura, Sheikh, Aziz, Silverwood, Richard, Smeeth, Liam, Smith, Stephen, Stafford, Jean, Steptoe, Andrew, Sterne, Jonathan, Steves, Claire, Stewart, Callum, Taylor, Kurt, Tazare, John, Teece, Lucy, Thomas, Richard, Thompson, Ellen, Tilling, Kate, Timpson, Nicholas, Tomlinson, Laurie, Toms, Renin, Tunnicliffe, Elizabeth, Turner, Emma L, Walker, Alex, Walker, Venexia, Walter, Scott, Wang, Kevin, Wei, Yinghui, Whitehorn, Rebecca, Wielgoszewska, Bozena, Wild, James M, Willan, Kathryn, Willans, Robert, Williams, Dylan, Wong, Andrew, Wood, Angela, Woodward, Hannah, Wright, John, Yang, Tiffany, Zaninotto, Paola, Zheng, Bang, and Zhu, Jingmin
Abstract: Some studies have shown that the incidence of type 2 diabetes increases after a diagnosis of COVID-19, although the evidence is not conclusive. However, the effects of the COVID-19 vaccine on this association, or the effect on other diabetes subtypes, are not clear. We aimed to investigate the association between COVID-19 and incidence of type 2, type 1, gestational and non-specific diabetes, and the effect of COVID- 19 vaccination, up to 52 weeks after diagnosis.
Published: 2024
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33. During the COVID‐19 pandemic 20 000 prostate cancer diagnoses were missed in England.

Author: Lemanska, Agnieszka, Andrews, Colm, Fisher, Louis, Bacon, Seb, Mehrkar, Amir, Inglesby, Peter, Davy, Simon, Goldacre, Ben, MacKenna, Brian, Walker, Alex J., Rentsch, Christopher T., Curtis, Helen J., Morton, Caroline E., Morley, Jessica, Hickman, George, Bates, Chris, Croker, Richard, Evans, David, Ward, Tom, and Cockburn, Jonathan
Subjects: COVID-19 pandemic, CANCER diagnosis, PROSTATE cancer, PROSTATE cancer patients, OLDER men
Abstract: Objectives: To investigate the effect of the COVID‐19 pandemic on prostate cancer incidence, prevalence, and mortality in England. Patients and Methods: With the approval of NHS England and using the OpenSAFELY‐TPP dataset of 24 million patients, we undertook a cohort study of men diagnosed with prostate cancer. We visualised monthly rates in prostate cancer incidence, prevalence, and mortality per 100 000 adult men from January 2015 to July 2023. To assess the effect of the pandemic, we used generalised linear models and the pre‐pandemic data to predict the expected rates from March 2020 as if the pandemic had not occurred. The 95% confidence intervals (CIs) of the predicted values were used to estimate the significance of the difference between the predicted and observed rates. Results: In 2020, there was a drop in recorded incidence by 4772 (31%) cases (15 550 vs 20 322; 95% CI 19 241–21 403). In 2021, the incidence started to recover, and the drop was 3148 cases (18%, 17 950 vs 21 098; 95% CI 19 740–22 456). By 2022, the incidence returned to the levels that would be expected. During the pandemic, the age at diagnosis shifted towards older men. In 2020, the average age was 71.6 (95% CI 71.5–71.8) years, in 2021 it was 71.8 (95% CI 71.7–72.0) years as compared to 71.3 (95% CI 71.1–71.4) years in 2019. Conclusions: Given that our dataset represents 40% of the population, we estimate that proportionally the pandemic led to 20 000 missed prostate cancer diagnoses in England alone. The increase in incidence recorded in 2023 was not enough to account for the missed cases. The prevalence of prostate cancer remained lower throughout the pandemic than expected. As the recovery efforts continue, healthcare should focus on finding the men who were affected. The research should focus on investigating the potential harms to men diagnosed at older age. [ABSTRACT FROM AUTHOR]
Published: 2024
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34. Weight trends amongst adults with diabetes or hypertension during the COVID-19 pandemic: an observational study using OpenSAFELY

Author: Samuel, Miriam, primary, Park, Robin Y, additional, Eastwood, Sophie V, additional, Eto, Fabiola, additional, Morton, Caroline, additional, Stow, Daniel, additional, Bacon, Sebastian, additional, Goldacre, Ben, additional, Mehrkar, Amir, additional, Morley, Jessica, additional, Dillingham, Iain, additional, Inglesby, Peter, additional, Hulme, William J, additional, Khunti, Kamlesh, additional, Mathur, Rohini, additional, Valabhji, Jonathan, additional, MacKenna, Brian, additional, and Finer, Sarah, additional
Published: 2023
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35. Impact of the COVID-19 pandemic on antipsychotic prescribing in individuals with autism, dementia, learning disability, serious mental illness or living in a care home: a federated analysis of 59 million patients’ primary care records in situ using OpenSAFELY

Author: Macdonald, Orla, primary, Green, Amelia, additional, Walker, Alex, additional, Curtis, Helen, additional, Croker, Richard, additional, Brown, Andrew, additional, Butler-Cole, Ben, additional, Andrews, Colm, additional, Massey, Jon, additional, Inglesby, Peter, additional, Morton, Caroline, additional, Fisher, Louis, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Sebastian, additional, Davy, Simon, additional, Evans, David, additional, Dillingham, Iain, additional, Ward, Tom, additional, Hulme, William, additional, Bates, Chris, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, O'Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Parkes, Nasreen, additional, Wood, Ian, additional, Goldacre, Ben, additional, and Mackenna, Brian, additional
Published: 2023
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36. Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: A cohort study using linked primary care, secondary care, and death registration data in the OpenSAFELY platform

Author: Bhaskaran, Krishnan, Rentsch, Christopher T., Hickman, George, Hulme, William J., Schultze, Anna, Curtis, Helen J., Wing, Kevin, Warren-Gash, Charlotte, Tomlinson, Laurie, Bates, Chris J., Mathur, Rohini, MacKenna, Brian, Mahalingasivam, Viyaasan, Wong, Angel, Walker, Alex J., Morton, Caroline E., Grint, Daniel, Mehrkar, Amir, Eggo, Rosalind M., Inglesby, Peter, Douglas, Ian J., McDonald, Helen I., Cockburn, Jonathan, Williamson, Elizabeth J., Evans, David, Parry, John, Hester, Frank, Harper, Sam, Evans, Stephen JW, Bacon, Sebastian, Smeeth, Liam, and Goldacre, Ben
Subjects: Hospital care -- Patient outcomes -- Risk factors, Biological sciences
Abstract: Background There is concern about medium to long-term adverse outcomes following acute Coronavirus Disease 2019 (COVID-19), but little relevant evidence exists. We aimed to investigate whether risks of hospital admission and death, overall and by specific cause, are raised following discharge from a COVID-19 hospitalisation. Methods and findings With the approval of NHS-England, we conducted a cohort study, using linked primary care and hospital data in OpenSAFELY to compare risks of hospital admission and death, overall and by specific cause, between people discharged from COVID-19 hospitalisation (February to December 2020) and surviving at least 1 week, and (i) demographically matched controls from the 2019 general population; and (ii) people discharged from influenza hospitalisation in 2017 to 2019. We used Cox regression adjusted for age, sex, ethnicity, obesity, smoking status, deprivation, and comorbidities considered potential risk factors for severe COVID-19 outcomes. We included 24,673 postdischarge COVID-19 patients, 123,362 general population controls, and 16,058 influenza controls, followed for [less than or equal to]315 days. COVID-19 patients had median age of 66 years, 13,733 (56%) were male, and 19,061 (77%) were of white ethnicity. Overall risk of hospitalisation or death (30,968 events) was higher in the COVID-19 group than general population controls (fully adjusted hazard ratio [aHR] 2.22, 2.14 to 2.30, p < 0.001) but slightly lower than the influenza group (aHR 0.95, 0.91 to 0.98, p = 0.004). All-cause mortality (7,439 events) was highest in the COVID-19 group (aHR 4.82, 4.48 to 5.19 versus general population controls [p < 0.001] and 1.74, 1.61 to 1.88 versus influenza controls [p < 0.001]). Risks for cause-specific outcomes were higher in COVID-19 survivors than in general population controls and largely similar or lower in COVID-19 compared with influenza patients. However, COVID-19 patients were more likely than influenza patients to be readmitted or die due to their initial infection or other lower respiratory tract infection (aHR 1.37, 1.22 to 1.54, p < 0.001) and to experience mental health or cognitive-related admission or death (aHR 1.37, 1.02 to 1.84, p = 0.039); in particular, COVID-19 survivors with preexisting dementia had higher risk of dementia hospitalisation or death (age- and sex-adjusted HR 2.47, 1.37 to 4.44, p = 0.002). Limitations of our study were that reasons for hospitalisation or death may have been misclassified in some cases due to inconsistent use of codes, and we did not have data to distinguish COVID-19 variants. Conclusions In this study, we observed that people discharged from a COVID-19 hospital admission had markedly higher risks for rehospitalisation and death than the general population, suggesting a substantial extra burden on healthcare. Most risks were similar to those observed after influenza hospitalisations, but COVID-19 patients had higher risks of all-cause mortality, readmission or death due to the initial infection, and dementia death, highlighting the importance of postdischarge monitoring., Author(s): Krishnan Bhaskaran 1,*, Christopher T. Rentsch 1, George Hickman 2, William J. Hulme 2, Anna Schultze 1, Helen J. Curtis 2, Kevin Wing 1, Charlotte Warren-Gash 1, Laurie Tomlinson [...]
Published: 2022
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37. Eleven key measures for monitoring general practice clinical activity during COVID-19: A retrospective cohort study using 48 million adults’ primary care records in England through OpenSAFELY

Author: Fisher, Louis, primary, Curtis, Helen J, additional, Croker, Richard, additional, Wiedemann, Milan, additional, Speed, Victoria, additional, Wood, Christopher, additional, Brown, Andrew, additional, Hopcroft, Lisa EM, additional, Higgins, Rose, additional, Massey, Jon, additional, Inglesby, Peter, additional, Morton, Caroline E, additional, Walker, Alex J, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Seb, additional, Hickman, George, additional, Macdonald, Orla, additional, Lewis, Tom, additional, Wood, Marion, additional, Myers, Martin, additional, Samuel, Miriam, additional, Conibere, Robin, additional, Baqir, Wasim, additional, Sood, Harpreet, additional, Drury, Charles, additional, Collison, Kiren, additional, Bates, Chris, additional, Evans, David, additional, Dillingham, Iain, additional, Ward, Tom, additional, Davy, Simon, additional, Smith, Rebecca M, additional, Hulme, William, additional, Green, Amelia, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Cockburn, Jonathan, additional, O'Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, MacKenna, Brian, additional, and Goldacre, Ben, additional
Published: 2023
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38. Impact of vaccination on the association of COVID-19 with arterial and venous thrombotic diseases: an OpenSAFELY cohort study using linked electronic health records

Author: Cezard, Genevieve, primary, Denholm, Rachel, additional, Knight, Rochelle, additional, Wei, Yinghui, additional, Teece, Lucy, additional, Toms, Renin, additional, Forbes, Harriet, additional, Walker, Alex, additional, Fisher, Louis, additional, Massey, Jon, additional, Hopcroft, Lisa, additional, Horne, Elsie, additional, Taylor, Kurt, additional, Palmer, Tom, additional, Arab, Marwa Al, additional, Coronado, Jose Cuitun, additional, Ip, Samantha, additional, Davy, Simon, additional, Dillingham, Iain, additional, Bacon, Sebastian, additional, Mehrkar, Amir, additional, Morton, Caroline, additional, Greaves, Felix, additional, Hyams, Catherine, additional, Smith, George Davey, additional, MacLeod, John, additional, Chaturvedi, Nishi, additional, Goldacre, Ben, additional, Whiteley, William, additional, Wood, Angela, additional, Sterne, Jonathan, additional, and Walker, Venexia, additional
Published: 2023
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39. Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform

Author: Costello, Ruth E., primary, Tazare, John, additional, Piehlmaier, Dominik, additional, Herrett, Emily, additional, Parker, Edward P.K., additional, Zheng, Bang, additional, Mansfield, Kathryn E., additional, Henderson, Alasdair D., additional, Carreira, Helena, additional, Bidulka, Patrick, additional, Wong, Angel Y.S., additional, Warren-Gash, Charlotte, additional, Hayes, Joseph F., additional, Quint, Jennifer K., additional, MacKenna, Brian, additional, Mehrkar, Amir, additional, Eggo, Rosalind M., additional, Katikireddi, Srinivasa Vittal, additional, Tomlinson, Laurie, additional, Langan, Sinéad M., additional, Mathur, Rohini, additional, Chaturvedi, Nishi, additional, Park, Chloe, additional, Carnemolla, Alisia, additional, Williams, Dylan, additional, Knueppel, Anika, additional, Boyd, Andy, additional, Turner, Emma L., additional, Evans, Katharine M., additional, Thomas, Richard, additional, Berman, Samantha, additional, McLachlan, Stela, additional, Crane, Matthew, additional, Whitehorn, Rebecca, additional, Oakley, Jacqui, additional, Foster, Diane, additional, Woodward, Hannah, additional, Campbell, Kirsteen C., additional, Timpson, Nicholas, additional, Kwong, Alex, additional, Soares, Ana Goncalves, additional, Griffith, Gareth, additional, Toms, Renin, additional, Jones, Louise, additional, Annie, Herbert, additional, Mitchell, Ruth, additional, Palmer, Tom, additional, Sterne, Jonathan, additional, Walker, Venexia, additional, Huntley, Lizzie, additional, Fox, Laura, additional, Denholm, Rachel, additional, Knight, Rochelle, additional, Northstone, Kate, additional, Kanagaratnam, Arun, additional, Horne, Elsie, additional, Forbes, Harriet, additional, North, Teri, additional, Taylor, Kurt, additional, Arab, Marwa A.L., additional, Walker, Scott, additional, Coronado, Jose I.C., additional, Karthikeyan, Arun S., additional, Ploubidis, George, additional, Moltrecht, Bettina, additional, Booth, Charlotte, additional, Parsons, Sam, additional, Wielgoszewska, Bozena, additional, Bridger-Staatz, Charis, additional, Steves, Claire, additional, Thompson, Ellen, additional, Garcia, Paz, additional, Cheetham, Nathan, additional, Bowyer, Ruth, additional, Freydin, Maxim, additional, Roberts, Amy, additional, Goldacre, Ben, additional, Walker, Alex, additional, Morley, Jess, additional, Hulme, William, additional, Nab, Linda, additional, Fisher, Louis, additional, Andrews, Colm, additional, Curtis, Helen, additional, Hopcroft, Lisa, additional, Green, Amelia, additional, Patalay, Praveetha, additional, Maddock, Jane, additional, Patel, Kishan, additional, Stafford, Jean, additional, Jacques, Wels, additional, Tilling, Kate, additional, Macleod, John, additional, McElroy, Eoin, additional, Shah, Anoop, additional, Silverwood, Richard, additional, Denaxas, Spiros, additional, Flaig, Robin, additional, McCartney, Daniel, additional, Campbell, Archie, additional, Smeeth, Liam, additional, Cowling, Thomas, additional, Mansfield, Kate, additional, Costello, Ruth E., additional, Wang, Kevin, additional, Mansfield, Kathryn, additional, Mahalingasivam, Viyaasan, additional, Douglas, Ian, additional, Langan, Sinead, additional, Brophy, Sinead, additional, Parker, Michael, additional, Kennedy, Jonathan, additional, McEachan, Rosie, additional, Wright, John, additional, Willan, Kathryn, additional, Badrick, Ellena, additional, Santorelli, Gillian, additional, Yang, Tiffany, additional, Hou, Bo, additional, Steptoe, Andrew, additional, Giorgio, Di Gessa, additional, Zhu, Jingmin, additional, Zaninotto, Paola, additional, Wood, Angela, additional, Cezard, Genevieve, additional, Ip, Samantha, additional, Bolton, Tom, additional, Sampri, Alexia, additional, Rafeti, Elena, additional, Almaghrabi, Fatima, additional, Sheikh, Aziz, additional, Shah, Syed A., additional, Katikireddi, Vittal, additional, Shaw, Richard, additional, Hamilton, Olivia, additional, Green, Michael, additional, Kromydas, Theocharis, additional, Kopasker, Daniel, additional, Greaves, Felix, additional, Willans, Robert, additional, Glen, Fiona, additional, Sharp, Steve, additional, Hughes, Alun, additional, Wong, Andrew, additional, Howes, Lee Hamill, additional, Rapala, Alicja, additional, Nigrelli, Lidia, additional, McArdle, Fintan, additional, Beckford, Chelsea, additional, Raman, Betty, additional, Dobson, Richard, additional, Folarin, Amos, additional, Stewart, Callum, additional, Ranjan, Yatharth, additional, Carpentieri, Jd, additional, Sheard, Laura, additional, Fang, Chao, additional, Baz, Sarah, additional, Gibson, Andy, additional, Kellas, John, additional, Neubauer, Stefan, additional, Piechnik, Stefan, additional, Lukaschuk, Elena, additional, Saunders, Laura C., additional, Wild, James M., additional, Smith, Stephen, additional, Jezzard, Peter, additional, Tunnicliffe, Elizabeth, additional, Sanders, Zeena-Britt, additional, Finnigan, Lucy, additional, Ferreira, Vanessa, additional, Green, Mark, additional, Rhead, Rebecca, additional, Kibble, Milla, additional, Wei, Yinghui, additional, Lemanska, Agnieszka, additional, Perez-Reche, Francisco, additional, Teece, Lucy, additional, Parker, Edward, additional, Walker, Alex J., additional, Inglesby, Peter, additional, Curtis, Helen J., additional, Morton, Caroline E., additional, Morley, Jessica, additional, Bacon, Sebastian C.J., additional, Hickman, George, additional, Croker, Richard, additional, Evans, David, additional, Ward, Tom, additional, DeVito, Nicholas J., additional, Green, Amelia C.A., additional, Massey, Jon, additional, Smith, Rebecca M., additional, Hulme, William J., additional, Davy, Simon, additional, Andrews, Colm D., additional, Hopcroft, Lisa E.M., additional, Drysdale, Henry, additional, Dillingham, Iain, additional, Park, Robin Y., additional, Higgins, Rose, additional, Cunningham, Christine, additional, Wiedemann, Milan, additional, Maude, Steven, additional, Macdonald, Orla, additional, Butler-Cole, Ben F.C., additional, O'Dwyer, Thomas, additional, Stables, Catherine L., additional, Wood, Christopher, additional, Brown, Andrew D., additional, Speed, Victoria, additional, Bridges, Lucy, additional, Schaffer, Andrea L., additional, Walters, Caroline E., additional, Rentsch, Christopher T., additional, Bhaskaran, Krishnan, additional, Schultze, Anna, additional, Williamson, Elizabeth J., additional, McDonald, Helen I., additional, Tomlinson, Laurie A., additional, Wing, Kevin, additional, Grieve, Richard, additional, Grint, Daniel J., additional, Douglas, Ian J., additional, Evans, Stephen J.W., additional, Walker, Jemma L., additional, Cowling, Thomas E., additional, Herrett, Emily L., additional, Bates, Christopher, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, O'Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, Nicholson, Brian, additional, Perera, Rafael, additional, Harrison, David, additional, Khunti, Kamlesh, additional, Sterne, Jonathan AC., additional, and Quint, Jennifer, additional
Published: 2023
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40. Challenges in Estimating the Effectiveness of COVID-19 Vaccination Using Observational Data

Author: Hulme, William J., primary, Williamson, Elizabeth, additional, Horne, Elsie M.F., additional, Green, Amelia, additional, McDonald, Helen I., additional, Walker, Alex J., additional, Curtis, Helen J., additional, Morton, Caroline E., additional, MacKenna, Brian, additional, Croker, Richard, additional, Mehrkar, Amir, additional, Bacon, Seb, additional, Evans, David, additional, Inglesby, Peter, additional, Davy, Simon, additional, Bhaskaran, Krishnan, additional, Schultze, Anna, additional, Rentsch, Christopher T., additional, Tomlinson, Laurie, additional, Douglas, Ian J., additional, Evans, Stephen J.W., additional, Smeeth, Liam, additional, Palmer, Tom, additional, Goldacre, Ben, additional, Hernán, Miguel A., additional, and Sterne, Jonathan A.C., additional
Published: 2023
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41. Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics

Author: Fisher, Louis, primary, Hopcroft, Lisa EM, additional, Rodgers, Sarah, additional, Barrett, James, additional, Oliver, Kerry, additional, Avery, Anthony J, additional, Evans, Dai, additional, Curtis, Helen, additional, Croker, Richard, additional, Macdonald, Orla, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Sebastian, additional, Davy, Simon, additional, Dillingham, Iain, additional, Evans, David, additional, Hickman, George, additional, Inglesby, Peter, additional, Morton, Caroline E, additional, Smith, Becky, additional, Ward, Tom, additional, Hulme, William, additional, Green, Amelia, additional, Massey, Jon, additional, Walker, Alex J, additional, Bates, Christopher, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, O’Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, Goldacre, Ben, additional, and MacKenna, Brian, additional
Published: 2023
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42. Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY

Author: Walker, Alex, primary, MacKenna, Brian, additional, Inglesby, Peter, additional, Rentsch, Christopher, additional, Curtis, Helen, additional, Morton, Caroline, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Seb, additional, Hickman, George, additional, Bates, Chris, additional, Croker, Richard, additional, Evans, David, additional, Ward, Tom, additional, Cockburn, Jonathan, additional, Davy, Simon, additional, Bhaskaran, Krishnan, additional, Schultze, Anna, additional, Williamson, Elizabeth, additional, Hulme, William, additional, McDonald, Helen, additional, Tomlinson, Laurie, additional, Mathur, Rohini, additional, Eggo, Rosalind, additional, Wing, Kevin, additional, Wong, Angel, additional, Forbes, Harriet, additional, Tazare, John, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, OHanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, Douglas, Ian, additional, Evans, Stephen, additional, Smeeth, Liam, additional, and Goldacre, Ben, additional
Published: 2021
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43. Open letter on nurse education: ‘Mental health deserves better’

Author: Connell, Chris, Jones, Emma, Haslam, Michael, Wright, Karen Margaret, Firestone, Jayne, Fisher, Jane, Bell, Gareth, Edwards, Mark Anthony, Thomson, Christine, Pope, Gillian, Warrender, Dan, Rooney, Greg, Nute, Alex, Glascott, Michelle, Hallett, Nutmeg, Cadogan, Hannah, Monteux, Sebastian, Callaghan, Patrick, Lamont, Emma, Prince, Darren, McKenna Lawson, Stephen, Carlin, Romley, Atkinson, Lucy, McShane, Dean, Hale, Zoe, McCarthy-Grunwald, Steve, Huggett, Michael, Wroe, Lynn M, Crofts, Marie, Guildford, Anna, Kelly, Jude, Simbani, Niki, Finch, Natalie, Stott, Kerry, Mulhern, Ruairi, Richardson, Angela, Hough, Shaun, Hopkins, Dawn, Macpherson, Scott, Burnley, Caroline, Lacny, Anthony, Sayles, Katie, Deering, Kris, Terry, Julia, Mercer, Andy, Lambert, Nicky, Jones, Emily, Wagstaff, Christopher, Ashmore, Russell, Kennedy, Abbey, Sin, Jacqueline, Hodgson, Katy, Hughes, Cat, Rees, Helen., Craven, Rachael, Brennan, Gearóid, Frawley, Timmy, Addyman, Berni, Hosie, Leah, Hart, Naomi, Stephenson, Michelle, Wiilliams, Stephen, Roberts, Seren Haf, Morton, Caroline, Banks, Debbie, Gadsby, Jonathan, Felton, Anne, Rawcliffe, David, Havelock, Rose, Lindsay, Tracy, Paterson, Brodie, Hallett, Cheralyn, Corless, Louise, Gamble, Catherine, Chambers, Mary, Betty, Rachael, McIntosh, Gwenne, Martin, Stuart, Cawthorne, Patricia, Reid, Angus, Lord, Ed, Le Poidevin, Emma, Thomas, Greg, Bye, Christopher, Warrilow, Alexis, Roderick, Emma, Connell, Chris, Jones, Emma, Haslam, Michael, Wright, Karen Margaret, Firestone, Jayne, Fisher, Jane, Bell, Gareth, Edwards, Mark Anthony, Thomson, Christine, Pope, Gillian, Warrender, Dan, Rooney, Greg, Nute, Alex, Glascott, Michelle, Hallett, Nutmeg, Cadogan, Hannah, Monteux, Sebastian, Callaghan, Patrick, Lamont, Emma, Prince, Darren, McKenna Lawson, Stephen, Carlin, Romley, Atkinson, Lucy, McShane, Dean, Hale, Zoe, McCarthy-Grunwald, Steve, Huggett, Michael, Wroe, Lynn M, Crofts, Marie, Guildford, Anna, Kelly, Jude, Simbani, Niki, Finch, Natalie, Stott, Kerry, Mulhern, Ruairi, Richardson, Angela, Hough, Shaun, Hopkins, Dawn, Macpherson, Scott, Burnley, Caroline, Lacny, Anthony, Sayles, Katie, Deering, Kris, Terry, Julia, Mercer, Andy, Lambert, Nicky, Jones, Emily, Wagstaff, Christopher, Ashmore, Russell, Kennedy, Abbey, Sin, Jacqueline, Hodgson, Katy, Hughes, Cat, Rees, Helen., Craven, Rachael, Brennan, Gearóid, Frawley, Timmy, Addyman, Berni, Hosie, Leah, Hart, Naomi, Stephenson, Michelle, Wiilliams, Stephen, Roberts, Seren Haf, Morton, Caroline, Banks, Debbie, Gadsby, Jonathan, Felton, Anne, Rawcliffe, David, Havelock, Rose, Lindsay, Tracy, Paterson, Brodie, Hallett, Cheralyn, Corless, Louise, Gamble, Catherine, Chambers, Mary, Betty, Rachael, McIntosh, Gwenne, Martin, Stuart, Cawthorne, Patricia, Reid, Angus, Lord, Ed, Le Poidevin, Emma, Thomas, Greg, Bye, Christopher, Warrilow, Alexis, and Roderick, Emma
Published: 2023

44. Implementing Germ Defence digital behaviour change intervention via all primary care practices in England to reduce respiratory infections during the COVID-19 pandemic: an efficient cluster randomised controlled trial using the OpenSAFELY platform.

Author: Ainsworth, Ben, Horwood, Jeremy, Walter, Scott R., Miller, Sascha, Chalder, Melanie, De Vocht, Frank, Denison-Day, James, Elwenspoek, Martha M. C., Curtis, Helen J., Bates, Chris, Mehrkar, Amir, Bacon, Seb, Goldacre, Ben, Walker, Alex J., MacKenna, Brian, Inglesby, Peter, Morton, Caroline E., Morley, Jessica, Hickman, George, and Croker, Richard
Subjects: COVID-19 pandemic, COVID-19, RESPIRATORY infections, PATIENT participation, PRIMARY care
Abstract: Background: Germ Defence (www.germdefence.org) is an evidence-based interactive website that promotes behaviour change for infection control within households. To maximise the potential of Germ Defence to effectively reduce the spread of COVID-19, the intervention needed to be implemented at scale rapidly. Methods: With NHS England approval, we conducted an efficient two-arm (1:1 ratio) cluster randomised controlled trial (RCT) to examine the effectiveness of randomising implementation of Germ Defence via general practitioner (GP) practices across England, UK, compared with usual care to disseminate Germ Defence to patients. GP practices randomised to the intervention arm (n = 3292) were emailed and asked to disseminate Germ Defence to all adult patients via mobile phone text, email or social media. Usual care arm GP practices (n = 3287) maintained standard management for the 4-month trial period and then asked to share Germ Defence with their adult patients. The primary outcome was the rate of GP presentations for respiratory tract infections (RTI) per patient. Secondary outcomes comprised rates of acute RTIs, confirmed COVID-19 diagnoses and suspected COVID-19 diagnoses, COVID-19 symptoms, gastrointestinal infection diagnoses, antibiotic usage and hospital admissions. The impact of the intervention on outcome rates was assessed using negative binomial regression modelling within the OpenSAFELY platform. The uptake of the intervention by GP practice and by patients was measured via website analytics. Results: Germ Defence was used 310,731 times. The average website satisfaction score was 7.52 (0–10 not at all to very satisfied, N = 9933). There was no evidence of a difference in the rate of RTIs between intervention and control practices (rate ratio (RR) 1.01, 95% CI 0.96, 1.06, p = 0.70). This was similar to all other eight health outcomes. Patient engagement within intervention arm practices ranged from 0 to 48% of a practice list. Conclusions: While the RCT did not demonstrate a difference in health outcomes, we demonstrated that rapid large-scale implementation of a digital behavioural intervention is possible and can be evaluated with a novel efficient prospective RCT methodology analysing routinely collected patient data entirely within a trusted research environment. Trial registration: This trial was registered in the ISRCTN registry (14602359) on 12 August 2020. [ABSTRACT FROM AUTHOR]
Published: 2023
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45. First dose COVID-19 vaccine coverage amongst adolescents and children in England: an analysis of 3.21 million patients' primary care records in situ using OpenSAFELY

Author: Hopcroft, Lisa E., primary, Curtis, Helen J., additional, Brown, Andrew D., additional, Hulme, William J., additional, Andrews, Colm D., additional, Morton, Caroline E., additional, Inglesby, Peter, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Sebastian C., additional, Eggo, Rosalind M., additional, Mahalingasivam, Viyaasan, additional, Parker, Edward P. K., additional, Tomlinson, Laurie A., additional, Bates, Christopher, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Goldacre, Ben, additional, Walker, Alex J., additional, and MacKenna, Brian, additional
Published: 2023
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46. OpenSAFELY NHS Service Restoration Observatory 2: changes in primary care activity across six clinical areas during the COVID-19 pandemic

Author: Curtis, Helen J, primary, MacKenna, Brian, additional, Wiedemann, Milan, additional, Fisher, Louis, additional, Croker, Richard, additional, Morton, Caroline E, additional, Inglesby, Peter, additional, Walker, Alex J, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Sebastian CJ, additional, Hickman, George, additional, Evans, David, additional, Ward, Tom, additional, Davy, Simon, additional, Hulme, William J, additional, Macdonald, Orla, additional, Conibere, Robin, additional, Lewis, Tom, additional, Myers, Martin, additional, Wanninayake, Shamila, additional, Collison, Kiren, additional, Drury, Charles, additional, Samuel, Miriam, additional, Sood, Harpreet, additional, Cipriani, Andrea, additional, Fazel, Seena, additional, Sharma, Manuj, additional, Baqir, Wasim, additional, Bates, Chris, additional, Parry, John, additional, and Goldacre, Ben, additional
Published: 2023
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47. The Impact of the COVID-19 Pandemic on Anti-Psychotic Prescribing in Individuals with Autism, Dementia, Learning Disability, Serious Mental Illness or Living in a Care Home: A Federated Analysis of 59 Million Patients’ Primary Care Records in Situ Using OpenSAFELY

Author: Macdonald, Orla, primary, Green, Amelia, additional, Walker, Alex, additional, Curtis, Helen, additional, Croker, Richard, additional, Brown, Andrew, additional, Butler-Cole, Ben, additional, Andrews, Colm, additional, Massey, Jon, additional, Inglesby, Peter, additional, Morton, Caroline, additional, Fisher, Louis, additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Sebastian, additional, Davy, Simon, additional, Evans, David, additional, Dillingham, Iain, additional, Ward, Tom, additional, Hulme, William, additional, Bates, Chris, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, O'Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Parkes, Nasreen, additional, Goldacre, Ben, additional, and Mackenna, Brian, additional
Published: 2023
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48. Trends, variation, and clinical characteristics of recipients of antiviral drugs and neutralising monoclonal antibodies for covid-19 in community settings: retrospective, descriptive cohort study of 23.4 million people in OpenSAFELY

Author: Green, Amelia C A, primary, Curtis, Helen J, additional, Higgins, Rose, additional, Nab, Linda, additional, Mahalingasivam, Viyaasan, additional, Smith, Rebecca M, additional, Mehrkar, Amir, additional, Inglesby, Peter, additional, Drysdale, Henry, additional, DeVito, Nicholas J, additional, Croker, Richard, additional, Rentsch, Christopher T, additional, Bhaskaran, Krishnan, additional, Tazare, John, additional, Zheng, Bang, additional, Andrews, Colm D, additional, Bacon, Sebastian C J, additional, Davy, Simon, additional, Dillingham, Iain, additional, Evans, David, additional, Fisher, Louis, additional, Hickman, George, additional, Hopcroft, Lisa E M, additional, Hulme, William J, additional, Massey, Jon, additional, MacDonald, Orla, additional, Morley, Jessica, additional, Morton, Caroline E, additional, Park, Robin Y, additional, Walker, Alex J, additional, Ward, Tom, additional, Wiedemann, Milan, additional, Bates, Christopher, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Douglas, Ian J, additional, Evans, Stephen J W, additional, Goldacre, Ben, additional, Tomlinson, Laurie A, additional, and MacKenna, Brian, additional
Published: 2023
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49. Comparative effectiveness of sotrovimab and molnupiravir for prevention of severe covid-19 outcomes in patients in the community: observational cohort study with the OpenSAFELY platform

Author: Zheng, Bang, primary, Green, Amelia C A, additional, Tazare, John, additional, Curtis, Helen J, additional, Fisher, Louis, additional, Nab, Linda, additional, Schultze, Anna, additional, Mahalingasivam, Viyaasan, additional, Parker, Edward P K, additional, Hulme, William J, additional, Bacon, Sebastian C J, additional, DeVito, Nicholas J, additional, Bates, Christopher, additional, Evans, David, additional, Inglesby, Peter, additional, Drysdale, Henry, additional, Davy, Simon, additional, Cockburn, Jonathan, additional, Morton, Caroline E, additional, Hickman, George, additional, Ward, Tom, additional, Smith, Rebecca M, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Mehrkar, Amir, additional, Eggo, Rosalind M, additional, Walker, Alex J, additional, Evans, Stephen J W, additional, Douglas, Ian J, additional, MacKenna, Brian, additional, Goldacre, Ben, additional, and Tomlinson, Laurie A, additional
Published: 2022
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50. Eleven key measures for monitoring general practice clinical activity during COVID-19 using federated analytics on 48 million adults’ primary care records through OpenSAFELY

Author: Fisher, Louis, primary, Curtis, Helen J., additional, Croker, Richard, additional, Wiedemann, Milan, additional, Speed, Victoria, additional, Wood, Christopher, additional, Brown, Andrew, additional, Hopcroft, Lisa EM, additional, Higgins, Rose, additional, Massey, Jon, additional, Inglesby, Peter, additional, Morton, Caroline E., additional, Walker, Alex J., additional, Morley, Jessica, additional, Mehrkar, Amir, additional, Bacon, Seb, additional, Hickman, George, additional, Macdonald, Orla, additional, Lewis, Tom, additional, Wood, Marion, additional, Myers, Martin, additional, Samuel, Miriam, additional, Conibere, Robin, additional, Baqir, Wasim, additional, Sood, Harpreet, additional, Drury, Charles, additional, Collison, Kiren, additional, Bates, Chris, additional, Evans, David, additional, Dillingham, Iain, additional, Ward, Tom, additional, Davy, Simon, additional, Smith, Rebecca M., additional, Hulme, William, additional, Green, Amelia, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Cockburn, Jonathan, additional, O’Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, MacKenna, Brian, additional, and Goldacre, Ben, additional
Published: 2022
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