Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Claire L. Chan"'
Autor:
Mohammed I.U. Khan, Lawrence Mbuagbaw, Matthew Holek, Faris Bdair, Zoha H. Durrani, Katie Mellor, Saskia Eddy, Sandra M. Eldridge, Claire L. Chan, Michael J. Campbell, Christine M. Bond, Sally Hopewell, Gillian A. Lancaster, Lehana Thabane
Publikováno v:
Pilot and Feasibility Studies, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract Background Pilot and feasibility studies (PAFS) often have complex objectives aimed at assessing feasibility of conducting a larger study. These may not be clear to participants in pilot studies. Methods Here, we aimed to assess the transpar
Externí odkaz:
https://doaj.org/article/28f1b0a72548493292390b82acf3abe5
Autor:
Claire L. Chan, Melanie Smuk, Ratna Sohanpal, Hilary Pinnock, Stephanie J. C. Taylor, On behalf of the TANDEM Investigators
Publikováno v:
Trials, Vol 21, Iss 1, Pp 1-9 (2020)
Abstract Background The aim of the TANDEM trial is to evaluate whether a tailored, psychological cognitive behavioural approach intervention, which links into, and optimises the effects of routine pulmonary rehabilitation (PR), leads to a reduction i
Externí odkaz:
https://doaj.org/article/9db00930549048bbb6e9bf7b4d222500
Autor:
Karen Heslop, Chris Warburton, Steph Taylor, Sarah Saqi-Waseem, Ratna Sohanpal, Sally Singh, Hilary Pinnock, Martin Underwood, C Michael Roberts, Elizabeth Steed, Claire L Chan, Patrick White, Andrew Healey, Richard Hooper, Stefan Priebe, Moira Kelly
Publikováno v:
Airway pharmacology and treatment.
Autor:
Faris Bdair, Sandra Eldridge, Lehana Thabane, Saskia Eddy, Matthew Holek, Claire L Chan, Lawrence Mbuagbaw, Sally Hopewell, Zoha H Durrani, Michael J. Campbell, Gillian Lancaster, Christine Bond, Mohammed Inam Ullah Khan, Katie Mellor
Publikováno v:
Pilot and Feasibility Studies
Pilot and Feasibility Studies, Vol 7, Iss 1, Pp 1-10 (2021)
Pilot and Feasibility Studies, Vol 7, Iss 1, Pp 1-10 (2021)
Background Pilot and feasibility studies (PAFS) often have complex objectives aimed at assessing feasibility of conducting a larger study. These may not be clear to participants in pilot studies. Methods Here, we aimed to assess the transparency of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae29481dbb1c1e181a91647e2e55daa0
Publikováno v:
J Clin Epidemiol
Background and objective Feasibility studies are increasingly being used to support the development of, and investigate uncertainties around, future large-scale trials. The future trial can be designed with either a pragmatic or explanatory mindset.
Autor:
Louise C. Kenny, Gordon C. S. Smith, Richard Hooper, Kym I E Snell, Ahmet Baschat, Jenny Myers, Louise Bjørkholt Andersen, Alice R. Rumbold, George Daskalakis, Shakila Thangaratinam, Lucilla Poston, Diane Farrar, Basky Thilaganathan, Seppo Heinonen, Lucy C Chappell, Lionel Carbillon, Per Magnus, Anne Cathrine Staff, Chie Nagata, Kjell Å. Salvesen, Sohinee Bhattacharya, Wessel Ganzevoort, SeonAe Yeo, Melanie Smuk, Camilla Haavaldsen, Lisa M. Askie, Javier A Ramírez, Jane E. Norman, Pia M. Villa, Christina Anne Vinter, Claire L Chan, Joyce L. Browne, Richard D Riley, Akihide Ohkuchi, Asif Ahmed, Fabricio da Silva Costa, Fionnuala M. McAuliffe, Henk Groen, Asma Khalil, Alberto Galindo, Karel G. M. Moons, Peter von Dadelszen, Marcus Green, Khalid S. Khan, Luc J.M. Smits, Jacques Massé, Ignacio Herraiz, Julie Dodds, Kerstin Klipstein-Grobusch, Ben W.J. Mol, Ragnhild Bergene Skråstad, Kajantie Eero, Anne Karen Jenum, Anthony Odibo, John Kingdom, Anne Eskild, François Audibert, Hannele Laivuori, Helena J. Teede, Paul T. Seed, Federico Prefumo, John Allotey
Publikováno v:
Health Technology Assessment, 24(72), 1-284. NIHR JOURNALS LIBRARY
Allotey, J, Snell, K I E, Smuk, M, Hooper, R, Chan, C L, Ahmed, A, Chappell, L C, von Dadelszen, P, Dodds, J, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Ramirez, J A, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, Costa, F D S, Groen, H, Audibert, F, Masse, J, Skrastad, R B, Salvesen, K A, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P M, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A & IPPIC Collaborative Network 2020, ' Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia : an individual participant data meta-analysis ', Health Technology Assessment, vol. 24, no. 72 . https://doi.org/10.3310/hta24720
Health Technology Assessment
Health Technol Assess
Health technology assessment (Winchester, England), 24(72), 1-290. National Co-ordinating Centre for HTA
Health Technology Assessment, Vol 24, Iss 72 (2020)
Allotey, J, Snell, K I E, Smuk, M, Hooper, R, Chan, C L, Ahmed, A, Chappell, L C, von Dadelszen, P, Dodds, J, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Ramirez, J A, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, Costa, F D S, Groen, H, Audibert, F, Masse, J, Skrastad, R B, Salvesen, K A, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P M, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A & IPPIC Collaborative Network 2020, ' Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia : an individual participant data meta-analysis ', Health Technology Assessment, vol. 24, no. 72 . https://doi.org/10.3310/hta24720
Health Technology Assessment
Health Technol Assess
Health technology assessment (Winchester, England), 24(72), 1-290. National Co-ordinating Centre for HTA
Health Technology Assessment, Vol 24, Iss 72 (2020)
Background Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. Objectives To assess the performance of existing pre-eclampsia prediction models and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3482cc2cd39eb183bcceb2b73ee13648
http://hdl.handle.net/10138/324931
http://hdl.handle.net/10138/324931
Autor:
Gordon C. S. Smith, Diane Farrar, François Audibert, Hannele Laivuori, Wessel Ganzevoort, Alberto Galindo, Khalid S. Khan, Luc J.M. Smits, Javier A Ramírez, Kerstin Klipstein-Grobusch, Anne Eskild, Federico Prefumo, Jacques Massé, Christina Anne Vinter, Lionel Carbillon, SeonAe Yeo, Per Magnus, Ignacio Herraiz, Asma Khalil, Anthony Odibo, Claire L Chan, Ragnhild Bergene Skråstad, Richard Hooper, Louise Bjørkholt Andersen, Kjell Å. Salvesen, Henk Groen, Anne Karen Jenum, Karel G. M. Moons, Jane E. Norman, Richard D Riley, Kym I E Snell, Camilla Haavaldsen, Joyce L. Browne, B. Thilaganathan, Peter von Dadelszen, Pia M. Villa, Asif Ahmed, Ben W.J. Mol, Lucy C Chappell, Paul T. Seed, John Kingdom, Marcus Green, Fionnuala M. McAuliffe, Louise C. Kenny, Seppo Heinonen, Lucilla Poston, Anne Cathrine Staff, Jenny Myers, Chie Nagata, Shakila Thangaratinam, Sohinee Bhattacharya, Ahmet A. Baschat, Lisa M. Askie, Melanie Smuk, John Allotey, Kajantie Eero, Akihide Ohkuchi, Fabricio da Silva Costa, Alice R. Rumbold, George Daskalakis
Publikováno v:
BMC Medicine
Snell, K I E, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, L C, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, R B, Salvesen, K, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A, Bhattacharya, S & IPPIC Collaborative Network 2020, ' External validation of prognostic models predicting pre-eclampsia : individual participant data meta-analysis ', BMC Medicine, vol. 18, 302 . https://doi.org/10.1186/s12916-020-01766-9
18:302
BMC Medicine, 18(1):302. BioMed Central Ltd
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Snell, K I E, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, L C, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, R B, Salvesen, K Å, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, F M, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, S A, Browne, J L, Moons, K G M, Riley, R D & Thangaratinam, S 2020, ' External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis ', BMC Medicine, vol. 18, no. 1, pp. 302 . https://doi.org/10.1186/s12916-020-01766-9
BMC Medicine, 18(1):302. BMC
BMC medicine, 18(1). BioMed Central
BMC Medicine, Vol 18, Iss 1, Pp 1-18 (2020)
Snell, K I E, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, L C, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, R B, Salvesen, K, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A, Bhattacharya, S & IPPIC Collaborative Network 2020, ' External validation of prognostic models predicting pre-eclampsia : individual participant data meta-analysis ', BMC Medicine, vol. 18, 302 . https://doi.org/10.1186/s12916-020-01766-9
18:302
BMC Medicine, 18(1):302. BioMed Central Ltd
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Snell, K I E, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, L C, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, K S, Mol, B W, Myers, J, Poston, L, Thilaganathan, B, Staff, A C, Smith, G C S, Ganzevoort, W, Laivuori, H, Odibo, A O, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, A A, Seed, P T, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, R B, Salvesen, K Å, Haavaldsen, C, Nagata, C, Rumbold, A R, Heinonen, S, Askie, L M, Smits, L J M, Vinter, C A, Magnus, P, Eero, K, Villa, P M, Jenum, A K, Andersen, L B, Norman, J E, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, F M, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, S A, Browne, J L, Moons, K G M, Riley, R D & Thangaratinam, S 2020, ' External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis ', BMC Medicine, vol. 18, no. 1, pp. 302 . https://doi.org/10.1186/s12916-020-01766-9
BMC Medicine, 18(1):302. BMC
BMC medicine, 18(1). BioMed Central
BMC Medicine, Vol 18, Iss 1, Pp 1-18 (2020)
Background Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk during pregnancy is required to plan management. Although there are many published prediction models for pre-eclampsi
Autor:
Mohammed Inam Ullah Khan, Matthew Holek, Gillian Lancaster, Sally Hopewell, Claire L Chan, Faris Bdair, Michael J. Campbell, Lawrence Mbuagbaw, Christine Bond, Sandra Eldridge, Lehana Thabane
Publikováno v:
BMJ Open, Vol 10, Iss 6 (2020)
BMJ Open
BMJ Open
IntroductionPilot/feasibility studies assess the feasibility of conducting a larger study. Although researchers ought to communicate the feasibility objectives to their participants, many research ethics guidelines do not comment on how informed cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3d59ad5f250c69357e63712fec1dce
https://ora.ox.ac.uk/objects/uuid:143800ab-a625-4034-810d-a27796372b92
https://ora.ox.ac.uk/objects/uuid:143800ab-a625-4034-810d-a27796372b92
Autor:
Sally Hopewell, Sandra M Eldridge, Mohammed I Khan, Matthew Holek, Faris Bdair, Claire L Chan, Christine M Bond, Gillian A Lancaster
Publikováno v:
BMJ Open
BMJ Open, Vol 10, Iss 6 (2020)
BMJ Open, Vol 10, Iss 6 (2020)
IntroductionThe Roy adaptation model provides a basis for developing the science of nursing. Its theoretical assumptions have been tested in empirical studies. Although several works have historically reviewed the development of this model, a refinem
Autor:
Claire L Chan
Publikováno v:
Pilot and Feasibility Studies, Vol 5, Iss 1, Pp 1-3 (2019)
Pilot and Feasibility Studies
Pilot and Feasibility Studies
This editorial introduces a website for pilot and feasibility studies. Pilot and feasibility studies are about giving research the best chance of success, but must be performed well to have the greatest benefit. The website was developed by the Pilot