Zobrazeno 1 - 10
of 337
pro vyhledávání: '"James, Rose A."'
Autor:
Mahima Venkateswaran, Jesmin Pervin, Akuba Dolphyne, Ingrid K. Friberg, Ingvild Fjeldheim, J. Frederik Frøen, Fatema Khatun, Brian O’Donnell, Monjur Rahman, A. M. Quaiyum Rahman, U Tin Nu, Christopher James Rose, Bidhan Krishna Sarker, Anisur Rahman
Publikováno v:
BMC Digital Health, Vol 2, Iss 1, Pp 1-14 (2024)
Abstract Introduction Longitudinal client tracking systems with digital health interventions are recommended for implementation in resource-limited settings but lack evidence of benefits, harms, and implementation. In the eRegMat cluster-randomized c
Externí odkaz:
https://doaj.org/article/288bb71abbd8425eba75d44c3861386e
Autor:
Ashley Elizabeth Muller, Rigmor C. Berg, Jose Francisco Meneses-Echavez, Heather M. R. Ames, Tiril C. Borge, Patricia Sofia Jacobsen Jardim, Chris Cooper, Christopher James Rose
Publikováno v:
Systematic Reviews, Vol 12, Iss 1, Pp 1-8 (2023)
Highlights Machine learning (ML) tools for evidence synthesis now exist, but little is known about whether they lead to decreased resource use and time-to-completion of reviews. We propose a protocol to systematically measure any resource savings of
Externí odkaz:
https://doaj.org/article/19d3311bf3154b00898a47a4a306d303
Publikováno v:
BMJ Open, Vol 13, Iss 8 (2023)
Objectives To systematically review and meta-analyse the evidence for effect modification by refractory status and number of treatment lines in relapsed/refractory multiple myeloma (RRMM); and to assess whether effect modification is likely to invali
Externí odkaz:
https://doaj.org/article/43a2e95465b44abfb5f04a5d04df14f8
Autor:
Patricia Sofia Jacobsen Jardim, Christopher James Rose, Heather Melanie Ames, Jose Francisco Meneses Echavez, Stijn Van de Velde, Ashley Elizabeth Muller
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Machine learning and automation are increasingly used to make the evidence synthesis process faster and more responsive to policymakers’ needs. In systematic reviews of randomized controlled trials (RCTs), risk of bias assessmen
Externí odkaz:
https://doaj.org/article/6ff612c2b4744404b5ddf27a8fa5349c
Autor:
Bin Huang, Hermine Brunner, Tingting Qiu, Prasad Devarajan, James Rose, Ellen Cody, Rebecca Hopkins, Megan Quinlan-Waters, Catherine Robben
Publikováno v:
Lupus Science and Medicine, Vol 9, Iss Suppl 3 (2022)
Externí odkaz:
https://doaj.org/article/7ceca45a671e4a0f935ff64d25a9e51b
Autor:
Chris Sampson, Eleanor Bell, Amanda Cole, Christopher B Miller, Tracey Marriott, Matt Williams, James Rose
Publikováno v:
BJGP Open, Vol 6, Iss 2 (2022)
Background: Sleepio is an automated digital program that delivers digital cognitive behavioural therapy for insomnia (dCBT-I). Sleepio has been proven effective in improving sleep difficulties; however, evidence for the possible impact of Sleepio use
Externí odkaz:
https://doaj.org/article/0e7309362a014e3ca414a008985ecfb5
Autor:
Mahima Venkateswaran, Zaher Nazzal, Buthaina Ghanem, Reham Khraiwesh, Eatimad Abbas, Khadija Abu Khader, Tamara Awwad, Taghreed Hijaz, Mervett Isbeih, Kjersti Mørkrid, Christopher James Rose, J Frederik Frøen
Publikováno v:
JMIR Formative Research, Vol 6, Iss 5, p e34021 (2022)
BackgroundDigital health interventions have been shown to improve data quality and health services in low- and middle-income countries (LMICs). Nonetheless, in LMICs, systematic assessments of time saved with the use of digital tools are rare. We ran
Externí odkaz:
https://doaj.org/article/c8b3adca27384b9db79f284fa79164ca
Autor:
Brandon Michael Henry, Maria Helena Santos de Oliveira, Isaac Cheruiyot, Justin Benoit, James Rose, Emmanuel J. Favaloro, Giuseppe Lippi, Stefanie Benoit, Naomi Pode Shakked
Publikováno v:
Mediators of Inflammation, Vol 2022 (2022)
Introduction: Neutrophil extracellular traps (NETs) release (i.e., NETosis) has been recently implicated in the pathomechanism underlying severe end-organ damage in Coronavirus Disease 2019 (COVID-19) and could present a novel therapeutic target. We
Externí odkaz:
https://doaj.org/article/438ba7f854f748fb841c982e3dd360aa
Publikováno v:
F1000Research, Vol 9 (2021)
Background: Few studies have evaluated the ability of the general public to assess the trustworthiness of claims about the effects of healthcare. For the most part, those studies have used self-reported measures of critical health literacy. Methods:
Externí odkaz:
https://doaj.org/article/eae69b00b0e04217b6c57720f774804c
Autor:
Matt Oxman, Lillebeth Larun, Giordano Pérez Gaxiola, Dima Alsaid, Anila Qasim, Christopher James Rose, Karin Bischoff, Andrew David Oxman
Publikováno v:
F1000Research, Vol 10 (2021)
Background Many studies have assessed the quality of news reports about the effects of health interventions, but there has been no systematic review of such studies or meta-analysis of their results. We aimed to fill this gap (PROSPERO ID: CRD4201809
Externí odkaz:
https://doaj.org/article/fd2f869ee010422e887fd28c1e233add