Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jens Jap"'
Publikováno v:
Systematic Reviews, Vol 8, Iss 1, Pp 1-12 (2019)
Abstract Background Conducting systematic reviews (“reviews”) requires a great deal of effort and resources. Making data extracted during reviews available publicly could offer many benefits, including reducing unnecessary duplication of effort,
Externí odkaz:
https://doaj.org/article/276332f6edac4eb68a7026909de41378
Autor:
Ian J. Saldanha, Christopher H. Schmid, Joseph Lau, Kay Dickersin, Jesse A. Berlin, Jens Jap, Bryant T. Smith, Simona Carini, Wiley Chan, Berry De Bruijn, Byron C. Wallace, Susan M. Hutfless, Ida Sim, M. Hassan Murad, Sandra A. Walsh, Elizabeth J. Whamond, Tianjing Li
Publikováno v:
Systematic Reviews, Vol 5, Iss 1, Pp 1-11 (2016)
Abstract Background Data abstraction, a critical systematic review step, is time-consuming and prone to errors. Current standards for approaches to data abstraction rest on a weak evidence base. We developed the Data Abstraction Assistant (DAA), a no
Externí odkaz:
https://doaj.org/article/3b73b29a64e8480db248cf2deb722103
Publikováno v:
Systematic Reviews, Vol 7, Iss 1, Pp 1-2 (2018)
Abstract ᅟ This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotat
Externí odkaz:
https://doaj.org/article/85d793c6acea4507a5be3f3f0b4abba2
Publikováno v:
Systematic Reviews, Vol 8, Iss 1, Pp 1-12 (2019)
Systematic Reviews
Systematic Reviews
Background Conducting systematic reviews (“reviews”) requires a great deal of effort and resources. Making data extracted during reviews available publicly could offer many benefits, including reducing unnecessary duplication of effort, standardi
Publikováno v:
Research Synthesis Methods. 10:2-14
INTRODUCTION: During systematic reviews, data abstraction is labor- and time-intensive and error-prone. Existing data abstraction systems do not track specific locations and contexts of abstracted information. To address this limitation, we developed
Autor:
Stacey Springs, Lionel L Bañez, Birol Senturk, Thomas A Trikalinos, Mary Butler, Kathryn R Lallinger, Elise Berliner, Aysegul Gozu, Michelle Brasure, Gaelen P Adam, Gillian D. Sanders-Schmidler, Ethan M Balk, Jens Jap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebae660c11127f24335f05e8b480c870
https://doi.org/10.23970/ahrqepcmethengageinteractive
https://doi.org/10.23970/ahrqepcmethengageinteractive
Autor:
Berry de Bruijn, Joseph K. Canner, Simona Carini, Christopher H. Schmid, Tianjing Li, Kay Dickersin, Wiley Chan, Jesse A. Berlin, Ian J. Saldanha, Bryant T Smith, Elizabeth J. Whamond, Vernal Branch, Byron C. Wallace, Susan Hutfless, Joseph Lau, Ida Sim, Sandra A. Walsh, M. Hassan Murad, Jens Jap
Publikováno v:
Journal of clinical epidemiology. 115
Objectives Data Abstraction Assistant (DAA) is a software for linking items abstracted into a data collection form for a systematic review to their locations in a study report. We conducted a randomized cross-over trial that compared DAA-facilitated
Autor:
Ethan M Balk, Gillian D. Sanders-Schmidler, Michelle Brasure, Kathryn R Lallinger, Mary Butler, Birol Senturk, Thomas A Trikalinos, Gaelen P Adam, Jens Jap
Publikováno v:
Joint Commission journal on quality and patient safety. 45(9)
Background Systematic reviews are used by a diverse range of users to address an ever-expanding set of questions and needs. It is unlikely that a single static report will efficiently satisfy the different needs of diverse users. Methods An open-sour
Publikováno v:
Systematic Reviews
Systematic Reviews, Vol 7, Iss 1, Pp 1-2 (2018)
Systematic Reviews, Vol 7, Iss 1, Pp 1-2 (2018)
ᅟ This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, desc