Andrew D Oxman

ORCID: 0000-0002-5608-5061
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About
Contact & Profiles
Research Areas
  • Health Systems, Economic Evaluations, Quality of Life
  • Health Policy Implementation Science
  • Meta-analysis and systematic reviews
  • Clinical practice guidelines implementation
  • Primary Care and Health Outcomes
  • Health Sciences Research and Education
  • Healthcare cost, quality, practices
  • Healthcare Policy and Management
  • Health Literacy and Information Accessibility
  • Patient-Provider Communication in Healthcare
  • Pharmaceutical industry and healthcare
  • Global Maternal and Child Health
  • Delphi Technique in Research
  • Pharmaceutical Economics and Policy
  • Education and Critical Thinking Development
  • School Health and Nursing Education
  • Healthcare Systems and Technology
  • Global Public Health Policies and Epidemiology
  • Innovations in Medical Education
  • Clinical Reasoning and Diagnostic Skills
  • Mental Health and Patient Involvement
  • Behavioral Health and Interventions
  • Evaluation and Performance Assessment
  • Healthcare Systems and Reforms
  • Public Health Policies and Education

Norwegian Institute of Public Health
2016-2025

Tropical Institute Of Community Health And Development
2022

University of Rwanda
2022

OsloMet – Oslo Metropolitan University
2022

Makerere University
2019-2022

Nasjonalt Kunnskapssenter for Helsetjenesten
2009-2021

University of Oslo
2018-2020

South African Medical Research Council
2019

Nasjonalforeningen for Folkehelsen
2019

Royal Australasian College of Surgeons
2017

Flaws in the design, conduct, analysis, and reporting of randomised trials can cause effect an intervention to be underestimated or overestimated. The Cochrane Collaboration's tool for assessing risk bias aims make process clearer more accurate

10.1136/bmj.d5928 article EN cc-by-nc BMJ 2011-10-18

Guidelines are inconsistent in how they rate the quality of evidence and strength recommendations. This article explores advantages GRADE system, which is increasingly being adopted by organisations worldwide

10.1136/bmj.39489.470347.ad article EN BMJ 2008-04-24

The GRADE system classifies recommendations made in guidelines as either strong or weak. This article explores the meaning of these descriptions and their implications for patients, clinicians, policy makers

10.1136/bmj.39493.646875.ae article EN BMJ 2008-05-08

<b>Background</b> The CONSORT statement is intended to improve reporting of randomised controlled trials and focuses on minimising the risk bias (internal validity). applicability a trial's results (generalisability or external validity) also important, particularly for pragmatic trials. A trial (a term first used in 1967 by Schwartz Lellouch) can be broadly defined as whose purpose inform decisions about practice. This extension such applicability. <b>Methods </b>At two, two-day meetings...

10.1136/bmj.a2390 article EN BMJ 2008-11-11

The GRADE system can be used to grade the quality of evidence and strength recommendations for diagnostic tests or strategies. This article explains how patient-important outcomes are taken into account in this process

10.1136/bmj.39500.677199.ae article EN BMJ 2008-05-15

A number of approaches have been used to grade levels evidence and the strength recommendations. The use many different detracts from one main reasons for having explicit approaches: concisely characterise communicate this information so that it can easily be understood thereby help people make well-informed decisions. Our objective was critically appraise six prominent systems grading recommendations as a basis agreeing on characteristics common, sensible approach recommendations.Six were...

10.1186/1472-6963-4-38 article EN cc-by BMC Health Services Research 2004-12-22

#### Summary points Healthcare decision making is complex. Decision-making processes and the factors (criteria) that makers should consider vary for different types of decisions, including clinical recommendations, coverage health system or public recommendations decisions.1 2 3 4 However, some criteria are relevant all these anticipated effects options being considered, certainty evidence those (also referred to as quality confidence in effect estimates), costs feasibility options....

10.1136/bmj.i2016 article EN BMJ 2016-06-28
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