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A Review of Online Evidence-based Practice Point-of-Care Information Summary Providers

A Review of Online Evidence-based Practice Point-of-Care Information Summary Providers

IntroductionIn 1996, Richard Smith sought to identify the main characteristics that medical information sources developed over the next decade should have to guide doctors in their practice [1,2].

Rita Banzi, Alessandro Liberati, Ivan Moschetti, Ludovica Tagliabue, Lorenzo Moja

J Med Internet Res 2010;12(3):e26

Correction: Non-Hispanic White Mothers’ Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel

Correction: Non-Hispanic White Mothers’ Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel

Authors were listed as follows on the published manuscript:Adam Bouras1,2, MSHI, MHA, MSc; Eduardo Simoes1,2, MD, MPH; Suzanne Boren1,2, PhD; Lanis Hicks1,2, PhD; Iris Zachary1, PhD; Satvinder Dhingra3, MPH; Richard Ellis3, BScThis was incomplete, and has been

Adam Bouras, Eduardo J Simoes, Suzanne Boren, Lanis Hicks, Iris Zachary, Christoph Buck, Satvinder Dhingra, Richard Ellis

J Participat Med 2020;12(4):e24183

Correction: Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

Correction: Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

The precision of the original report of the Haynes 1994 filter should be 22% and not 0.22. This leads to the F-measure being 36 and the NNR being 4.5.

Robert Badgett, Nader Shaikh, Mini Pi, Nancy L Wilczynski, K. Ann McKibbon, Andrea M. Ketchum, R. Brian Haynes

J Med Internet Res 2012;14(4):e108

Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

For example, the label “Haynes-2004-Sensitive” refers to the filter described by Haynes et al in their 2004 publication with the highest sensitivity (ie, the filter with the highest recall).

Nader Shaikh, Robert G. Badgett, Mina Pi, Nancy L. Wilczynski, K. Ann McKibbon, Andrea M. Ketchum, R. Brian Haynes

J Med Internet Res 2011;13(4):e82

Type of Evidence Behind Point-of-Care Clinical Information Products: A Bibliometric Analysis

Type of Evidence Behind Point-of-Care Clinical Information Products: A Bibliometric Analysis

Haynes’ 6S pyramid model of preappraised resources, a modification of the 5S model, describes these products as summaries [8,9]. Many of these resources do claim to be evidence based in their descriptions or policy statements.

Andrea M. Ketchum, Ahlam A. Saleh, Kwonho Jeong

J Med Internet Res 2011;13(1):e21

eHealth Technologies, Multimorbidity, and the Office Visit: Qualitative Interview Study on the Perspectives of Physicians and Nurses

eHealth Technologies, Multimorbidity, and the Office Visit: Qualitative Interview Study on the Perspectives of Physicians and Nurses

For example, Jocelyn mentioned the necessity of building patient understanding of their health conditions to improve treatment adherence (Textbox 4).Richard and Donna saw this approach as essential for countering misconceptions about a medication that was frightening

Graham G Macdonald, Anne F Townsend, Paul Adam, Linda C Li, Sheila Kerr, Michael McDonald, Catherine L Backman

J Med Internet Res 2018;20(1):e31