dc.contributor.author | Azuara-Blanco, Augusto | |
dc.contributor.author | Banister, Katie | |
dc.contributor.author | Boachie, Charles | |
dc.contributor.author | McMeekin, Peter | |
dc.contributor.author | Gray, Joanne | |
dc.contributor.author | Burr, Jennifer | |
dc.contributor.author | Bourne, Rupert | |
dc.contributor.author | Garway-Heath, David | |
dc.contributor.author | Batterbury, Mark | |
dc.contributor.author | Hernandez, Rodolfo | |
dc.contributor.author | McPherson, Gladys | |
dc.contributor.author | Ramsay, Craig | |
dc.contributor.author | Cook, Jonathan | |
dc.date.accessioned | 2016-02-02T15:20:04Z | |
dc.date.available | 2016-02-02T15:20:04Z | |
dc.date.issued | 2016-01 | |
dc.identifier | 62147944 | |
dc.identifier | 6d147e11-90bf-47f8-b2d5-9cc43b649af3 | |
dc.identifier | 84956947587 | |
dc.identifier.citation | Azuara-Blanco , A , Banister , K , Boachie , C , McMeekin , P , Gray , J , Burr , J , Bourne , R , Garway-Heath , D , Batterbury , M , Hernandez , R , McPherson , G , Ramsay , C & Cook , J 2016 , ' Automated imaging technologies for the diagnosis of glaucoma : a comparative diagnostic study for the evaluation of the diagnostic accuracy, performance as triage tests and cost-effectiveness (GATE study) ' , Health Technology Assessment , vol. 20 , no. 8 . https://doi.org/10.3310/hta20080 | en |
dc.identifier.issn | 1366-5278 | |
dc.identifier.other | ORCID: /0000-0002-2189-3755/work/42210458 | |
dc.identifier.other | ORCID: /0000-0003-4043-7349/work/84131398 | |
dc.identifier.uri | http://hdl.handle.net/2164/5481 | |
dc.description | Funding The National Institute for Health Research Health Technology Assessment programme. Acknowledgements The authors would like to thank: Pauline Garden for her data management and secretarial support; Lara Kemp for secretarial support in producing the final report; Cynthia Fraser for literature searches and referencing the final report; Kirsty McCormack for support in setting up and initiating the study; Gladys McPherson and the programming team at the Centre for Healthcare Randomised Trials for providing and maintaining the study website; Luke Vale for invaluable advice and assistance in the development of the economic model; Ian Russell (user) and Russell Young (IGA representative) for reviewing the executive summary and lay summary; independent members of the steering committee, and research and development departments at each research centre. Particular thanks go to all the GATE study participants who gave of their time to take part in the study and staff who facilitated recruitment and data collection at Aberdeen Royal Infirmary, Bedford Hospital, Hinchingbrooke Hospital, Moorfields Eye Hospital and Royal Liverpool University Hospital. | en |
dc.format.extent | 202 | |
dc.format.extent | 14313860 | |
dc.language.iso | eng | |
dc.relation.ispartof | Health Technology Assessment | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | R Medicine | en |
dc.subject | National Institute for Health Research (NIHR) | en |
dc.subject | 09/22/111 | en |
dc.subject.lcc | R | en |
dc.title | Automated imaging technologies for the diagnosis of glaucoma : a comparative diagnostic study for the evaluation of the diagnostic accuracy, performance as triage tests and cost-effectiveness (GATE study) | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Health Services Research Unit | en |
dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
dc.contributor.institution | University of Aberdeen.Health Economics Research Unit | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.3310/hta20080 | |