
Informed Health Choices Primary School Resources
A textbook and a teachers’ guide for 10 to 12-year-olds. The textbook includes a comic, exercises and classroom activities.
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MMR: the facts in the case of Dr Andrew Wakefield
This 15-page cartoon explains the events surrounding the MMR controversy, and provides links to the relevant evidence.
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Watson en busca de la evidencia
Cómic acerca de conflictos de intereses y búsqueda de información.
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Annals Graphic Medicine: How screening is portrayed in the media
A cartoon series addressing the theme "Earlier is not necessarily better".
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Effectiveness Delusions
Cherry picking the results of people in sub-groups can be misleading.
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Cecil and those pellets again…
If possible, participants in clinical trials should not know which treatment they are receiving.
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Catch 22 – clinical trials edition
Fair comparisons of treatments in animals or highly selected groups of people may not be relevant.
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House Calls Please
Beware reliance on 'experience' without reference to relevant evidence.
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Composite Outcomes
Fair comparisons of treatments should measure important outcomes and avoid dependence on surrogate outcome measures.
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Biomarkers unlimited
Fair comparisons of treatments should measure important outcomes and avoid dependence on surrogate outcome measures.
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Department of Epidemiology
Presenting relative measures of treatment effects without presenting absolute measures can be misleading.
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Goldilocks
Cartoon and blog about how poorly performed systematic reviews and meta-analyses may misrepresent the truth.
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House of tottering cards
Poorly performed systematic reviews and meta-analyses may misrepresent the truth.
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Cherry Picking
Cherry-picking results that only support your own conclusion may mean ignoring important evidence that refutes a treatment claim.
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Secret life of trials
The results of single comparisons of treatments can be misleading.
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Desert Island Medical Journal
Small studies with few outcome events are usually not informative and can be misleading.
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Forest Plot Trilogy
Synthesising the results of similar but separate fair comparisons (meta-analysis) may help by yielding statistically more reliable estimates
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Significant Others
Statistical significance does not always mean meaningful or practical significance.
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False Precision
The use of p-values to indicate the probability of something occurring by chance may be misleading.
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Personal “No Worse”
People with vested interests may use misleading statistics to support claims about the effects of new treatments.
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Lisa luxuriant hair
If possible, participants in clinical trials should not know which treatment they are receiving.
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Suzie in despair
Apart from the treatments being compared, the comparison groups need to be similar.
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World without bias
Overcoming biases is difficult but important. Treatment comparisons must be fair.
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Avoid despair about biases
People who choose to ignore biases may do themselves and others harm.
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Does it work?
People with vested interests may use misleading statistics to support claims about the efects of new treatments.
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Thousand dollar placebo
People with vested interests may take advantage of peoples' fears or hopes..
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Promising treatments
'Promising' treatments greatly outnumber actual advances in treatment.
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Right to remain anxious
Earlier testing is not always better, and can lead to overdiagnosis, overtreatment and anxiety.
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De-awareness day
Earlier testing is not always better, and can lead to overdiagnosis and overtreatment.
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Alicia
Earlier testing is not always better, and can lead to overdiagnosis and overtreatment.
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Peer-Review
Even quality control steps, such as peer-review, can be affected by conflicts of interest.
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Gertrud
Exaggeration and hopes or fears can lead to unrealistic expectations about treatment effects.
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Blackboard Professor
Beware reliance on 'experience' with no reference to relevant evidence.
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Soy Lattes
Just because two things are associated, doesn't mean one thing caused the other.
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Cause and Effect
Just because two things are associated, doesn't mean one thing caused the other.
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Space-Diving Safety
Small studies with few outcome events are usually not informative and can be misleading.
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Significus the Obscure
Cherry picking the results of people in sub-groups can be misleading.
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More than average confusion about what mean means mean
Cartoon and blog about how averages can hide important variations in effects.
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Big data and finding the evidence
“Big data” is large-scale data processing technologies intended to generate insights into performance, behaviour and trends.
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Pre-diabetes screening
Earlier detection is not always better and can lead to overdiagnosis and overtreatment.
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