Our library of evidence-based nursing resources features links to a range of resources that can help student nurses get to grips with various aspects of evidence-based practice. This page is continually updated, so do let us know if you know of resources that are missing.
If you’d like to blog for Students 4 Best Evidence, but are feeling unsure where to start, have a look at this list of suggested blog topics.
Here are 34 key concepts that are crucial to understand to be able to critically appraise the claims that people make about treatments. And here are lots of resources that explain each key concept. Students, we need your help reviewing them!
Our library features links to a range of resources that can help you get to grips with various aspects of evidence-based healthcare. From statistics tutorials to guidance on how to critically appraise a paper. This page is continually updated, so do let us know if you know of resources that are missing.
Keep up to date with the latest Cochrane evidence by following our sister blog, Evidently Cochrane. Evidently Cochrane posts weekly blogs, which usually feature new or updated Cochrane reviews on a health topic. It is for everyone interested in finding and using the best quality evidence to inform decisions about health.
This is the twenty-second blog in a series of 36 blogs explaining 36 key concepts we need to be able to understand to think critically about treatment claims.
Even though a comparison of treatments has been published in a prestigious journal, it may not be a fair comparison and the results may not be reliable. Peer review (assessment of a study by others working in the same field) does not guarantee that published studies are reliable. Assessments vary and may not be systematic.
Critical appraisal tools (CATs) are commonly used by students and researchers alike, as a way of judging a study’s quality. In this blog, Dennis Neuen addresses the need to appraise these tools and has also collated a list of 12 CATs from all over the world.
This is a Portuguese translation of the second in a series of 36 blogs explaining 36 Key Concepts we need to be able to understand to think critically about treatment claims. With thanks to Felipe Medauar and Cochrane Brazil for the translation.
This blog explains that claims about the effects of a treatment may be misleading if they are based on stories about how a treatment helped individual people, or if those stories attribute improvements to treatments that have not been assessed in systematic reviews of fair comparisons.
This is the twenty-first blog in a series of 36 blogs explaining 36 key concepts we need to be able to understand to think critically about treatment claims.
Reviews that do not use systematic methods may result in biased or imprecise estimates of the effects of treatments because the selection of studies for inclusion may be biased or the methods may result in some studies not being found. In addition, the appraisal of some studies may be biased, or the synthesis of the results of the selected studies may be inadequate or inappropriate.
Canada is in the midst of an opioid crisis and prescriptions have something to do with it. The question is, what? Lauren Gorfinkel discusses the need for new research which adequately investigates the ways in which prescription opioids enter and influence the lives of not only those who are prescribed opioids, but those that are not.
This is the twentieth blog in a series of 36 blogs explaining 36 key concepts we need to be able to understand to think critically about treatment claims.
A single comparison of treatments rarely provides conclusive evidence and results are often available from other comparisons of the same treatments. These other comparisons may have different results or may help to provide more reliable and precise estimates of the effects of treatments.
This is a Portuguese translation of the first in a series of 36 blogs explaining 36 Key Concepts we need to be able to understand to think critically about treatment claims. With thanks to Carlos Henrique dos Santos Oliveira and Cochrane Brazil for the translation. This blog explains that people often exaggerate the benefits of treatments and ignore or downplay potential harms. However, few effective treatments are 100% safe. Always consider the possibility that a treatment may have harmful effects.
Saul Crandon provides an overview of Case-control and Cohort studies: what are they, how are they different, and what are the pros and cons you need to consider in each study design.
In this blog, Sasha Lawson-Frost explores what moral values underpin or justify the practice of Evidence-Based Medicine, specifically in response to a recent article which stated “the policy side of evidence-based medicine is basically a form of rule utilitarianism”.
In this blog, Leonardo provides 5 interpretations that you should consider when you read or hear about a reported association in observational studies.
This is the nineteenth blog in a series of 36 blogs explaining 36 key concepts we need to be able to understand to think critically about treatment claims.
People in treatment comparisons who are not followed up to the end of the study may have worse outcomes than those who are followed up. For example, they may have dropped out because the treatment was not working or because of side effects. If those people are excluded, the findings of the study may be misleading.
Is evidence-based medicine a fairy tale? With this in mind, Foo Wee brings her personal experience into a review of the evidence available for analgesic treatment of G6PD deficient children. This blog won 2nd prize in the recent Cochrane Malaysia blog writing competition.
In this blog, Kamal Pandit discusses the findings of three recent Cochrane reviews which assessed the effectiveness of treatments for Coronary heart disease (CHD). He adds personal experience to provide context to treatment of a condition which is the single leading cause of death globally (WHO 2014).
This blog provides a detailed overview of the Delphi Technique, a method of congregating expert opinion through a series of iterative questionnaires, with a goal of coming to a group consensus. It covers what it is, the process involved, pros and cons and when you would consider using it.
This is the eighteenth blog in a series of 36 blogs explaining 36 key concepts we need to be able to understand to think critically about treatment claims.
If an outcome is measured differently in two comparison groups, differences in that outcome may be due to how the outcome was measured rather than because of the treatment received by people in each group. For example, if outcome assessors believe that a particular treatment works and they know which patients have received that treatment, they may be more likely to observe better outcomes in those who have received the treatment.