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Research Article

Key Concepts for assessing claims about treatment effects and making well-informed treatment choices

[version 1; peer review: 3 approved]
PUBLISHED 12 Nov 2018
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This article is included in the Research on Research, Policy & Culture gateway.

Abstract

Background: The Informed Health Choices (IHC) Key Concepts are standards for judgement, or principles for evaluating the trustworthiness of treatment claims and treatment comparisons (evidence) used to support claims, and for making treatment choices. The list of concepts provides a framework, or starting point, for teachers, journalists and other intermediaries for identifying and developing resources (such as longer explanations, examples, games and interactive applications) to help people to understand and apply the concepts. The first version of the list was published in 2015 and has been updated yearly since then. We report here the changes that have been made from when the list was first published up to the current (2018) version.
Methods: We developed the IHC Key Concepts by searching the literature and checklists written for the public, journalists, and health professionals; and by considering concepts related to assessing the certainty of evidence about the effects of treatments. We have revised the Key Concepts yearly, based on feedback and suggestions; and learning from using the IHC Key Concepts, other relevant frameworks, and adaptation of the IHC Key Concepts to other types of interventions besides treatments.
Results: We have made many changes since the Key Concepts were first published in 2015. There are now 44 Key Concepts compared to the original 32; the concepts have been reorganised from six to three groups; we have added higher-level concepts in each of those groups; we have added short titles; and we have made changes to many of the concepts.
Conclusions: We will continue to revise the IHC Key Concepts in response to feedback. Although we and others have found them helpful since they were first published, we anticipate that there are still ways in which they can be further improved. We welcome suggestions for how to do this.

Keywords

concepts, critical thinking, critical appraisal, causal inference, treatment claims, informed decision making, epistemology

Background

You cannot make informed decisions without information. For decisions about actions to improve or maintain the health of individuals or communities (‘treatments’) to be well-informed and not misinformed, you need reliable information about the effects of treatments. Unfortunately, we are bombarded with claims about the benefits and harms of treatments, many of which are not reliable. Therefore people need to learn how to distinguish reliable from unreliable claims.

Unreliable claims about the benefits and harms of treatments are made in the mass media and social media, as well as in personal communications with family, friends, quacks, and health professionals110. They are made by governments, celebrities, journalists, advertisers, researchers, gurus, aunts, and uncles. They include claims about medicines, surgery and other types of “modern medicine”; lifestyle changes, such as changes in what you eat or how you exercise; herbal remedies and other types of “traditional” or “alternative medicine”; public health and environmental interventions; and changes in how healthcare is financed, delivered, and governed.

Many, if not most people are unable to assess the reliability of these claims. For example, in a survey of a random sample of Norwegian adults, we found that less than 20% of respondents recognized that lung cancer can be associated with drinking alcohol but not necessarily caused by it11. This mirrors misleading claims that are commonly made in the media. For instance, stories about coffee frequently use language suggesting that cause and effect has been established, such as “coffee can kill you”, when reporting on associations that have been found between drinking coffee and various health outcomes12. Personal experiences (anecdotes) are often used as a basis for treatment claims, and people are more likely to trust anecdotes than research. For example, surveys in the UK have shown that only about one third (37%) of the public trust evidence from medical research, while about two thirds (65%) trust the experiences of friends and family13. In addition, anecdotes often exaggerate the alleged benefits of treatments (for cancer, for example) and ignore or downplay harms14. At the same time, people in need or desperation hope that treatments will work and ignore potential harms.

Consequences of people’s inability to assess the reliability of treatment claims include overuse of ineffective and sometimes harmful treatments and underuse of effective treatments, both of which result in unnecessary suffering and waste15,16. For example, billions of dollars are wasted on alternative medicine and nutritional supplements for which there is no reliable evidence of benefits17,18. At the same time, millions of children die unnecessarily, in part because their parents do not seek and use effective treatments that are available to them19,20, and they don’t trust reliable claims about effective preventive treatments such as effective vaccines21.

To address this problem, the Informed Health Choices (IHC) group is developing and evaluating resources to help people learn how to assess the trustworthiness of treatment claims and make well-informed decisions about treatments22,23. The first step in this work was to identify the key concepts that people need to understand and apply to do this24,25. We refer to these as the IHC Key Concepts. We review and update this list of concepts yearly. In this article we report the changes that we have made to the IHC Key Concepts since they were first published24 and present the most recent (2018) version.

Methods

The IHC Key Concepts are standards for judgment, or principles for evaluating the trustworthiness of treatment claims and treatment comparisons (research) used to support claims, and for making treatment choices. The list is intended to be relevant to people everywhere and to any type of treatment. Many of the concepts can be learned and used successfully by primary school children22,26,27. Although we have developed and framed the Key Concepts to address treatment claims, people in other fields have also found them relevant. Work to adapt these concepts to apply to interventions in other fields is ongoing, including agricultural, economic, educational, environmental, international development, management, nutrition, policing, social welfare, and veterinary interventions.

The IHC Key Concepts are a starting point for developing learning resources to help people make judgements about the trustworthiness of claims about the effects of treatments (and other interventions), and to make well-informed decisions about treatments. They are also the basis for a database of multiple-choice questions that can be used to assess people’s abilities to assess treatment claims and make treatment choices28. We have written the concepts and explanations in plain language. However, some of them may be unfamiliar and difficult to understand. The Key Concepts list is not intended to be a learning resource. It is a framework that can be used by teachers and others to identify and develop learning resources.

To develop the IHC Key Concepts, we first extracted all of the concepts addressed in Testing Treatments29, a book that was written to promote more critical public assessment of claims about the effects of treatments. We then searched the literature for other relevant material, including books and checklists for the public, journalists, and health professionals24. We also considered concepts related to making judgements about the certainty of evidence of the effects of treatments30.

Our aim has been to include all concepts that are important for people to consider. At the same time, we have tried to minimise redundancy. We have organised the concepts in a way that we believe is logical, and we have sought feedback on this logic. The concepts are not organised based on how complex or difficult they are to understand and apply, or in the order in which they should be taught.

We have collected structured written feedback on the Key Concepts using a form with four questions (Box 1). We initially obtained feedback from 29 members of an international advisory group24. We have subsequently obtained responses to these questions at three workshops:

  • Global Evidence Summit, Cape Town, South Africa, 14 September 2017

  • Evidence Live, Oxford, UK, 20 June 2018

  • 25th Cochrane Colloquium, Edinburgh, UK, 17 September 2018

Box 1. Questions used to elicit feedback on the Informed Health Choices (IHC) Key Concepts

1. Are concepts included that should not be?

2. Are there important concepts that are missing?

3. Are the concepts organised in a logical way?

4. Do you have any other comments regarding the concepts?

In addition, we have sought feedback and suggestions from colleagues when we have presented the Key Concepts, and on our website. The Key Concepts are updated yearly, and once or twice each year the three authors review and discuss each new suggestion and feedback from workshops, and we reach a consensus on which, if any, changes to make to the Key Concepts. For each suggestion, we record our response and the rationale for it. We invite comments on planned revisions from the IHC group and others prior to finalising each update.

Three other sources of input have contributed to changes that we have made to the IHC Key Concepts. First, experience from developing learning resources and teaching has led to changes. For example, development of primary school resources31 led to reorganising the concepts into three groups from the original six groups24.

Second, we are reviewing related frameworks for critical thinking32, including frameworks for teaching and learning critical thinking3337; scientific reasoning, literacy, and thinking3841; epistemic cognition42; causal inference43, problem solving44, and meta-cognition45; health literacy4648; and evidence-informed decision making and evidence-based practice4951. In addition to ideas for new concepts, this review has contributed to the development of lists of competences (required skills, knowledge, or capacity to do something) and dispositions (frequent and voluntary habits of thinking and doing) for thinking critically about treatments. We added these to the IHC Key Concept list in 2018.

Third, adaptation of the IHC Key Concepts to claims and decisions about other types of interventions (such as educational, economic, and environmental interventions) has contributed to changes that we have made, including the decision to reorganise the Key Concept list in 2018.

Results

The 2018 version of the IHC Key Concepts is the most recent version. It can be found as Supplementary File 1 and online52. Before reporting the changes that we made in this version and the reasons for those changes, we summarise the changes that we made to the IHC Key Concepts in 2016 and 2017.

The first version of the IHC Key Concepts, published in 201524, included 32 concepts in the following six groups:

  • Recognising the need for fair comparisons of treatments

  • Judging whether a comparison of treatments is a fair comparison

  • Understanding the role of chance

  • Considering all the relevant fair comparisons

  • Understanding the results of fair comparisons of treatments

  • Judging whether fair comparisons of treatments are relevant

In 201653, we added two new concepts and reorganised the concepts into three groups. The two new concepts were:

  • Unpublished results of fair comparisons may result in biased estimates of treatment effects.

  • A lack of evidence is not the same as evidence of “no difference”.

The decision to reorganise the concepts into three groups grew out of our efforts to simplify the concepts and teach them to primary school children. The suggestion to use three groups - claims, comparisons, and choices - came from Matt Oxman, who had primary responsibility for writing the text for The Health Choices Book for primary school children54. The book, which has been shown to be an effective learning resource in a randomised trial with over 10,000 children in Uganda, is a story in comic book format which introduces and explains 12 Key Concepts.

In 201755, we added short titles for all the concepts and two new concepts:

  • Peer-reviewed and published treatment comparisons may not be fair comparisons.

  • Comparisons designed to evaluate whether a treatment can work under ideal circumstances may not reflect what you can expect under usual circumstances.

The suggestion to add the short titles came from Douglas Badenoch, the project manager for the Testing Treatments websites54. The short titles were needed for the Critical thinking and Appraisal Resources Library (CARL) on the Testing Treatments - English website. CARL is a database of learning resources for teachers and others who are responsible for encouraging critical thinking about treatment claims56. It contains over 500 open-access learning resources in a variety of formats, including text, audio, video, webpages, cartoons, and lesson materials. Each resource is relevant to at least one IHC Key Concept and CARL can be searched or browsed using the Key Concepts.

In the 2018 version (Supplementary File 1), we merged two Key Concepts and added nine new concepts. We reorganised the concepts within each of the three main groups and added three subgroups to each of the three main groups of concepts. We also replaced all of the short titles and introduced emojis.

We removed the concept that “hope or fear can lead to unrealistic expectations about the effects of treatments” and incorporated this in the explanation of the concept “treatments may be harmful”. The explanation begins with “People often exaggerate the benefits of treatments and ignore or downplay potential harms.” We added: “Similarly, people in need or desperation hope that treatments will work and ignore potential harms.”

The nine new concepts were:

  • We can rarely, if ever, be 100% certain about the effects of treatments.

  • People often recover from illness without treatment.

  • More data is not necessarily better data, whatever the source.

  • It is rarely possible to know in advance who will benefit, who will not, and who will be harmed by using a treatment.

  • Indirect comparisons of treatments can be misleading.

  • Outcomes should be assessed reliably in treatment comparisons.

  • Treatment comparisons may be sensitive to assumptions that are made.

  • Verbal descriptions of treatment effects can be misleading.

  • The problem and the treatment options being considered may not be the right ones.

We introduced three higher level concepts within each of the three groups of Key Concepts and reframed the titles of the three groups as shown in Box 2.

Box 2. Higher-level concepts used to reorganise the Informed Health Choices (IHC) Key Concepts in 2018

1. Beware of treatment claims like these

  • 1.1 Beware of claims that are too good to be true.

  • 1.2 Beware of claims based on faulty logic.

  • 1.3 Beware of claims based on trust alone.

2. Check the evidence from treatment comparisons

  • 2.1 Don’t be misled by unfair comparisons.

  • 2.2 Don’t be misled by unreliable summaries of treatment comparisons.

  • 2.3 Don’t be misled by how treatment effects are described.

3. Make well-informed treatment choices

  • 3.1 What is the problem and what are the options?

  • 3.2 Is the evidence relevant?

  • 3.3 Do the advantages outweigh the disadvantages?

We did this in response to feedback that the organisation of concepts within the three main groups was not logical, and that having long lists of concepts was overwhelming. The subgroups of concepts, using these higher-level concepts, provides a more transparent logic for how the concepts are organised in each main group. Having just three higher level concepts for each group may also make it easier to get the gist of the concepts and make the list less overwhelming and easier to remember.

There were three reasons for changing the short titles used for each of the Key concepts. First, we had received feedback that the short titles were not consistent with some of the concepts and that some were not short; and it was difficult to come up with a short, catchy title that accurately reflected each concept. Second, we wanted short titles that were consistent with the new organisation of the concepts. Third, short titles that we were developing for posters and a website targeted at school children seemed to be a solution to this problem. We added emojis to make the poster and website that we are developing more appealing. When presenting these to colleagues and others, the emojis appeared to appeal across age groups and to reflect the content accurately, which also may help to convey the gist of the concepts. The full list of short titles for the Key Concepts and the emojis are shown in Box 3.

Box 3. Overview of the 2018 version of the Informed Health Choices (IHC) Key Concepts (short titles)

8c656505-243f-4783-b30a-4e58d5900f1f_B1.gif  1. Beware of treatment claims like these
We hear claims about the effects of treatments all the time. Many of these are not trustworthy. When you hear someone use one of these reasons
to support a claim about the effects of a treatment, you should beware and ask where the evidence is.
1.1 Beware of claims that are too good to be true.
    a)  “100% safe!”
    b)  “100% effective!”
    c)  “100% certain!”
1.2 Beware of claims based on faulty logic.
    a)  “Treatment needed!”
    b)  “It works like this!”
    c)  “Associated with!”
    d)  “Real world data!”
    e)  “No comparison needed!”
    f)  “A study shows!”
    g)  “Old is better!”
    h)  “New is better!”
    i)  “More is better!”
    j)  “Early is better!”
    k)  “Personalised medicine!”
    1.3  Beware of claims based on trust alone.
    a)  “As advertised!”
    b)  “It worked for me!”
    c)  “Recommended by experts!”
    d)  “Peer reviewed!”
8c656505-243f-4783-b30a-4e58d5900f1f_B2.gif2. Check the evidence from treatment comparisons
A treatment has to be compared to something else to know what would happen without the treatment. For treatment comparisons to be FAIR,
the only important difference between comparison groups should be the treatments they receive. Unfair treatment comparisons and unsystematic summaries of treatment
comparisons can be misleading. The way that treatment effects are described can also be misleading.
2.1 Don’t be misled by unfair comparisons!
    a)  Dissimilar comparison groups
    b)  Indirect comparisons
    c)  Dissimilar attention and care
    d)  Dissimilar expectations or behaviours
    e)  Dissimilar assessment of outcomes
    f)  Unreliable assessment of outcomes
    g)  Lots of people not followed-up
    h)  Outcomes counted in the wrong group

2.2 Don’t be misled by unreliable summaries of treatment
comparisons!
    a)  Unsystematic summaries
    a)  Selective reporting
    c)  Unfounded assumptions

2.3 Don’t be misled by how treatment effects
are described!
    a)  Just words
    b)  Relative effects
    c)  Average effects
    d)  Few people or events
    ae)  Subgroup analyses
    f)  Statistically significant
    g)  No confidence interval
    h)  No evidence
8c656505-243f-4783-b30a-4e58d5900f1f_B3.gif3. Make well-informed treatment choices
Deciding what to do requires judgements about the relevance of the evidence, how important the good and bad outcomes are to you, and how sure you can be about the treatment effects.
3.1 What is the problem and what are the options?
    a)  What is your health problem and what are your
    options?

3.2    Is the evidence relevant?
    a)  What outcomes matter to you?
    b)  Are the people (or animals) very different from you?

    c)  Are the treatments different from those available to you?
    d)  Are the circumstances different from yours?

Do the advantages outweigh the disadvantages?
    d)  Do the advantages outweigh the disadvantages for you?
    d)  How sure are you about the treatment effects?

Other changes made to the IHC Key Concepts

In addition to adding 13 new Key Concepts and removing one since the first version was published in 2015, and reorganising the concepts, we have modified several of them. Most of these changes have been in response to suggestions to add new concepts when we concluded that it made more sense to incorporate the suggestion in an existing concept. These changes are summarised in Table 1.

Table 1. Changes made to IHC Key Concepts in response to suggestions.

Suggested additionKey Concept that was modifiedChange that was made
Analogies, such as drug class effects,
and causal understanding of the body
sometimes predict the direction but not
the size of treatment effects.
Beliefs about how treatments work
are not reliable predictors of the
presence or size of actual effects of
treatments
We added this to the explanation: And even
if there is plausible evidence that a treatment
works in ways likely to be beneficial, the size of
any such treatment effect, and its safety, cannot
be predicted. For example, most drugs in a
class of heart medicines called beta-blockers
have beneficial effects in reducing recurrence
of heart attacks; but one of the drugs in the
class – practolol – caused unpredicted serious
complications in patients’ eyes and abdomens.
ReplicationThe results of single comparisons of
treatments can be misleading
We clarified that this is addressed by
adding “replications” to the explanation:
Systematic reviews of these other comparisons
(replications) may yield different results from
those based on the initial studies, and these
should help to provide more reliable and
precise estimates of treatment differences.
Technology is always better.New, brand-named, technologically
impressive, or more expensive
treatments may not be better than
available alternatives
We added “technologically impressive” to the
concept that new is not necessarily better.
Disease mongeringEarlier detection of ‘disease’ is not
necessarily better
We put ‘disease’ in quotes. We also added
“statistical risk of disease” to the explanation:
People often assume that early detection
of disease and ‘treating’ people who are
at statistical risk of disease lead to better
outcomes.
Regression to the meanPersonal experiences or anecdotes
(stories) are an unreliable basis
for assessing the effects of most
treatments
We added the following to the explanation: One
reason that personal experiences - including a
series of personal experiences - are sometimes
misleading is that experiences, such as pain,
fluctuate and tend to return to a more normal or
average level. This is sometimes referred to as
"regression to the mean". For example, people
often treat symptoms such as pain when they
are very bad and would improve anyway
without treatment. The same applies to a series
of experiences. For example, if there is a spike
in the number of traffic crashes someplace,
traffic lights may be installed to reduce
these. A subsequent reduction may give the
appearance that the traffic lights caused this
change. However, it is possible that the number
of crashes would have returned to a more
normal level without the traffic lights.
Common lay opinion is also not always
right.
Opinions of experts or authorities
do not alone provide a reliable
basis for judging the benefits and
harms of treatments
We added “like anyone else” to the explanation:
Doctors, researchers, and patients – like
anyone else - often disagree about the effects
of treatments.
We can be misled by liking the expert
or person who says something.
Opinions of experts or authorities
do not alone provide a reliable
basis for judging the benefits and
harms of treatments
We addressed this suggestion in the
explanation for this concept: Who makes a
treatment claim, how likable they are, or how
much experience and expertise they have are
not a reliable basis for assessing how reliable
their claim is.
Just because evidence is widely or
easily accessible does not mean that it
is trustworthy.
Peer-reviewed and published
treatment comparisons may not be
fair comparisons
We added this to the explanation: Similarly, just
because a study is widely publicised does not
mean that it is trustworthy.
Include nocebo effectIf possible, people should not
know which of the treatments being
compared they are receiving
We added this to the explanation: People in a
treatment group may also experience harms
(for example, more pain) because of their
expectations (this is called a nocebo effect).
And we added 'or worse' here: If individuals
know that they are receiving a treatment that
they believe is better or worse . . .
Contamination People’s outcomes should be
counted in the group to which they
were allocated
We added the following to the explanation:
“Contamination“ may lead to an underestimate
of effect relative to what would have happened
if everyone had received what was intended.
Evidence can change over time.Reviews of treatment comparisons
that do not use systematic methods
can be misleading
We added up-to-date to the implication:
Whenever possible, use up-to-date systematic
reviews of fair comparisons inform decisions
ProtocolsReviews of treatment comparisons
that do not use systematic methods
can be misleading

Unpublished results of fair
comparisons may result in biased
estimates of treatment effects
We added the following to the explanation for
the first concept: To avoid these problems,
systematic reviews of fair comparisons begin
with protocols, which should be registered and
searchable in registries such as Prospero.

And we added the following to the explanation
for the second concept: Selective reporting
is an important reason why fair comparisons
of treatments should have protocols that are
registered and searchable in registries such as
clinicaltrials.gov.
Short-term effects may not reflect long-
term effects.
A systematic review of fair
comparisons of treatments should
report outcomes that are important
We added “short and long-term” to the first
sentence of the explanation: A fair comparison
may not include all outcomes - short and long-
term - that are important to you. And we added
this to the end of the explanation: Similarly,
short-term effects may not reflect long-term effects.
Patient preferenceDecisions about treatments should
not be based on considering only
their benefits
We added this to the explanation: The balance
also depends on how much people value
(how much weight they give to) the treatment
advantages and disadvantages. Different
people may value outcomes differently and
sometimes make different decisions because
of this.
The word ‘unlike’ is confusing.
‘Dissimilar’ would make more sense.
Don’t be misled by unfair
comparisons
We had changed ‘dissimilar’ to ‘unlike’
because we thought that unlike is more likely
to be understood by most English speakers,
including children. It is also consistent with
the idea of ‘comparing like with like’. However,
based on the feedback we received, we
changed unlike back to dissimilar.

Suggestions that have been made when we concluded no change was needed

In addition to feedback from three workshops over the past two years, we have received 61 suggestions for revisions over the past three years. For many of these we concluded that no change was needed. Several suggestions were similar. We summarise these suggestions and our reasons for not making any changes in Table 2.

Table 2. Suggestions for which no changes were made to the IHC Key Concepts.

SuggestionRelated IHC Key ConceptsReason for not making a change
Type 1 and type 2 errorsSmall studies in which few outcome
events occur are usually not
informative and the results may be
misleading

The use of p-values to indicate the
probability of something having
occurred by chance may be
misleading; confidence intervals are
more informative

Saying that a difference is statistically
significant or that it is not statistically
significant can be misleading
This suggestion is addressed by
these concepts. In addition, this
terminology may contribute to
misleading interpretations of statistical
significance.
Framing of effectsRelative effects of treatments alone can
be misleading
While there is evidence that relative
effects alone can be misleading57,
the effects of positive compared to
negative framing are uncertain58.
Data extrapolationA systematic review of fair comparisons
of treatments should report outcomes
that are important

A systematic review of fair comparisons
of treatments in animals or highly
selected groups of people may not be
relevant

The treatments evaluated in fair
comparisons may not be relevant or
applicable

Comparisons designed to evaluate
whether a treatment can work under
ideal circumstances may not reflect
what can be expected under usual
circumstances.
This suggestion is addressed by these
concepts.
Biased reportingDon’t be misled by how treatment
effects are described
This suggestion is addressed by these
concepts.
It is not necessary to demonstrate what is true
in order to demonstrate what is false.
This suggestion is not a useful concept
for assessing the trustworthiness of
treatment claims.
Natural course of diseasePeople often recover from illness
without treatment
This suggestion is addressed in the
explanation for this concept.
Heterogeneity or risk stratificationThe results of single comparisons of
treatments can be misleading

Relative effects of treatments alone can
be misleading

Average differences between
treatments can be misleading
This suggestion is addressed by these
concepts.
IntuitionOpinions of experts or authorities do
not alone provide a reliable basis for
judging the benefits and harms of
treatments
This suggestion is addressed by this
concept.
Spill-over effectsA systematic review of fair comparisons
of treatments should report outcomes
that are important
This suggestion is addressed by this
concept - to the extent that spill-over
effects are an important consideration.
Where do I get reliable information?This suggestion is outside the scope of
the IHC Key Concepts.
Criteria of health information (parts of it are
already included)
Other criteria that are used to assess
health information - for example,
readability - are outside the scope of
the IHC Key Concepts.
Quality of systematic reviewsReviews of treatment comparisons that
do not use systematic methods can be
misleading
This suggestion is addressed by this
concept
It may be helpful to specify than advantages/
disadvantages may be different between
patients, clinicians and policy makers.
Decisions about treatments should not
be based on considering only their
benefits
We have made clear in all of the
concepts in the third group that the
focus is on judgements made from
‘your’ perspective in the new short titles
and the explanations. Although we
have not specified that policymakers
may have different perspectives than
individual patients, this is implicit and
can be included in learning-resources
when this is relevant.
Systematic reviews currently described as a
threshold of reliability but this isn't the case -
many systematic reviews are not reliable and
many other types of evidence can be reliable
or better than nothing in certain contexts.
The results of single comparisons of
treatments can be misleading

Don’t be misled by unfair comparisons

Reviews of treatment comparisons that
do not use systematic methods can be
misleading
Systematic reviews are not described
as a threshold; they are described
as the starting point for making
judgements about the certainty of the
evidence. These concepts explain why
systematic reviews are needed and
the need to assess the trustworthiness
of treatment comparisons. They do
not suggest that nothing is necessarily
better than a single study, when that
is the only evidence that is readily
available.
Clear questions are necessary for fair
comparisons.
The problem and the treatment options
being considered may not be the right
ones
This suggestion is relevant for
researchers, not for people using
research. We added the parallel
concept that is relevant for people
making decisions to the third group of
concepts.
Treatments should be provided by someone
with the necessary skills.
The treatments evaluated in fair
comparisons may not be relevant or
applicable
This suggestion is addressed by this
concept.
Beware of manipulative use of language and
pictures.
Verbal descriptions of treatment effects
can be misleading
We incorporated this suggestion in the
explanation for this new concept.
Having started and invested in a treatment
doesn’t mean that it works and you should
keep taking it.
Treatments may be harmfulThis suggestion is similar to the
concept that hope or fear can lead
to unrealistic expectations about
the effects of treatments, and does
not warrant a separate concept.
The concept about hope is now
incorporated in the explanation for the
concept that people often exaggerate
the benefits of treatments and ignore or
downplay potential harms.
Don’t be distracted by irrelevant information.Verbal descriptions of treatment effects
can be misleading
This suggestion is addressed by this
new concept, which we have added.
Was the recommendation made by a
group with an appropriate mix of skills and
perspectives?
This suggestion is outside the scope of
the IHC Key Concepts.
There should be something about the
difference between slow and fast thinking.
This is not a concept. It is addressed
as a competence - Recognise when to
go from quick to slow thinking about
treatment claims - and as a
disposition - Go from fast to slow
thinking before forming an opinion
about a treatment claim, making a
claim, or taking a decision
Not all treatments always feel comfortable.A systematic review of fair comparisons
of treatments should report outcomes
that are important
This suggestion is addressed in the
explanation for this concept
Uncertain about ‘personalised medicine’ as a
claim, having never come across this
It is rarely possible to know in advance
who will benefit, who will not, and who
will be harmed by using a treatment
Claims about personalised medicine
are widespread. And the concept that
it is rarely possible to know who will
benefit, who will not, and who will be
harmed by a treatment is fundamental.
The ability to recognise or challenge claims
that come from sources that are considered
reliable
We added this as a competence:
Communicate with others about the
advantages and disadvantages of
treatments
Be critical of the source of the claim.Beware of claims based on trust aloneThis is addressed by these concepts.
Some of these are true.Beware of claims that seem too good
to be true
We do not say that they are never true.
Unfair to compare interventions that are
apples and oranges or chalk and cheese; e.g.
by combining them in a meta-analysis
Unfair comparisonsThis is implicitly a consideration
for 'Unsystematic summaries' and
could be added explicitly to the
explanation. However, it is one of many
considerations that could be added as
concepts under 'unreliable summaries
of comparisons'. It is outside of the
scope of the IHC Key Concepts to
go into that level of detail and we do
not see a compelling argument for
adding this specific consideration and
not others that could be included in a
checklist for assessing the reliability of
a systematic review.
Dataset 1.Suggested revisions to the IHC Key Concepts and responses 2016–2018.

Discussion

Up to now we have received much positive feedback, along with many suggestions for improvements, on the IHC Key Concepts, including positive feedback on the changes that we made in the 2018 version. Nonetheless, as can be seen from the results reported here, we have made many changes since the Key Concepts were first published in 2015. There are now 44 Key Concepts compared to the original 32; the concepts have been reorganised from six to three groups; we have added higher-level concepts within each of those groups; we have added short titles; and we have made changes to many of the concepts. We will continue to revise the IHC Key Concepts in response to feedback. Although we and others have found the concepts helpful since they were first published24, we anticipate that there will still be ways in which they can be further improved. We welcome suggestions on ways of doing this.

The most common misunderstanding in the feedback we have received is that the Key Concepts list is a learning resource intended for people with no relevant research background. As noted in the Methods section, the list of Key Concepts serves as the basis for developing learning resources. It is not designed as a learning resource. It is a framework, or starting point, for identifying and developing learning resources.

Another common misunderstanding is that the Key Concepts are organised in the order in which they should be taught or learned. We have organised the Key Concepts logically by grouping them first in three groups and then within those three groups using higher-level concepts (Box 2). This logic does not reflect the difficulty of the concepts or the order in which they should be learned.

When teaching the concepts, it may make sense to start with ones in the first group, followed by ones in the second group, followed by ones in the third group. However, it does not necessarily make sense to teach them in that order or in the order that they are organised within each group. For example, at least 24 of the Key Concepts can be understood and applied by primary school children31, whereas other concepts are likely too difficult for primary school children to understand and use. Thus, it would obviously make sense to hop over those concepts when teaching primary school children.

Also, it is important not to try to teach or learn too much at one time. We initially tried teaching 24 Key Concepts to primary school children in one go, and found that was too much to teach in a single school term31. Our efforts to teach IHC Key Concepts to both primary school children and their parents support our initial hypothesis that the time to start learning these concepts is in primary school - if not even younger59. Ideally, these concepts should be taught and learned using a spiral curriculum6062, that maps out what students should learn, where they should begin, and how they should progress to master these skills. Each cycle in a spiral curriculum reinforces what was learned previously while introducing new concepts. This can help teachers and students identify when milestones have been reached, build a foundation for later stages of learning, and guide the development of assessment tools and learning resources. We have not yet developed a spiral curriculum based on the IHC Key Concepts.

Decisions about the suggestions we have received have been based on logic and discussion. Four criteria have emerged from these discussions, which we will use explicitly in further developing the IHC Key Concepts. New Key Concepts have to:

  • be within the scope of the IHC Key Concepts - standards for judgment, or principles for evaluating the trustworthiness of treatment claims and treatment comparisons (research) used to support claims, and to inform treatment choices

  • address ways in which treatment claims and comparisons are frequently misleading or ways in which poorly informed decisions are taken

  • be useful for people without a research background to use research, not just for researchers or for doing research

  • overlap as little as possible with other Key Concepts

In addition to continuing to seek and review feedback and suggestions, we will further develop the Key Concepts by continuing to learn from using the IHC Key Concepts, other relevant frameworks, and adaptation of the IHC Key Concepts to other types of interventions. We also plan to summarise the evidence supporting each of the Key Concepts.

Conclusions

The IHC Key Concepts have proven useful in designing learning resources, evaluating them, and organising them25. The most recent version of the Key Concepts improves on previous versions by incorporating additional Key Concepts, organising the Key Concepts more logically and, we believe, making it easier to get the gist of the Key Concepts. Future improvements will be made based on feedback and suggestions, and ongoing evaluation.

Data availability

Dataset 1: Suggested revisions to the IHC Key Concepts and responses 2016-2018 https://dx.doi.org/10.5256/f1000research.16771.d22353263

Comments on this article Comments (2)

Version 2
VERSION 2 PUBLISHED 23 Jan 2019
Revised
Version 1
VERSION 1 PUBLISHED 12 Nov 2018
Discussion is closed on this version, please comment on the latest version above.
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you. We have removed the simplified explanation of p-values from the sentence in question.
    Competing Interests: No competing interests were disclosed.
  • Reader Comment 02 Jan 2019
    David Colquhoun, UCL, UK
    02 Jan 2019
    Reader Comment
    Very nice summary.

    But Table 2 says "The use of p-values to indicate the probability of something having occurred by chance may be misleading;" 

    Not "misleading" but downright ... Continue reading
  • Discussion is closed on this version, please comment on the latest version above.
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Oxman AD, Chalmers I, Austvoll-Dahlgren A and Informed Health Choices group. Key Concepts for assessing claims about treatment effects and making well-informed treatment choices [version 1; peer review: 3 approved] F1000Research 2018, 7:1784 (https://doi.org/10.12688/f1000research.16771.1)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
VERSION 1
PUBLISHED 12 Nov 2018
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Reviewer Report 13 Dec 2018
David Henry, Centre for Research in Evidence Based Practice, Bond University, Gold Coast, Queensland, Australia 
Paulina Stehlik, Centre for Research in Evidence Based Practice, Bond University, Gold Coast, Queensland, Australia 
Approved
VIEWS 23
A very useful list and teaching aid but make sure you read the book

The Informed Health Choices (IHC) group performs a critical role in creating and regularly updating a framework of concepts that should underpin the ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Henry D and Stehlik P. Reviewer Report For: Key Concepts for assessing claims about treatment effects and making well-informed treatment choices [version 1; peer review: 3 approved]. F1000Research 2018, 7:1784 (https://doi.org/10.5256/f1000research.18334.r40587)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you for these comments.

    1. Did the authors use rigorous methods to develop the concepts? If not, does it matter?

    This is an interesting question, for which ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you for these comments.

    1. Did the authors use rigorous methods to develop the concepts? If not, does it matter?

    This is an interesting question, for which ... Continue reading
Views
23
Cite
Reviewer Report 10 Dec 2018
Richard Lehman,  Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK 
Approved
VIEWS 23
This description of the development of Key Concepts is clear and comprehensive. It is a real pleasure to read such strong and well-chosen English in a biomedical paper. The authors' sensitivity to language and meaning is also clear from the ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Lehman R. Reviewer Report For: Key Concepts for assessing claims about treatment effects and making well-informed treatment choices [version 1; peer review: 3 approved]. F1000Research 2018, 7:1784 (https://doi.org/10.5256/f1000research.18334.r40589)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you.
    Competing Interests: No competing interests were disclosed.
COMMENTS ON THIS REPORT
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you.
    Competing Interests: No competing interests were disclosed.
Views
27
Cite
Reviewer Report 26 Nov 2018
Catherine Mathews, South African Medical Research Council, Cape Town, South Africa 
Approved
VIEWS 27
This is a manuscript describing the refining of the key concepts which will ideally be used as a basis for developing interventions to help people discern between what are true and false healthcare claims. This manuscript describes the methods and rationale for revising the classification ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Mathews C. Reviewer Report For: Key Concepts for assessing claims about treatment effects and making well-informed treatment choices [version 1; peer review: 3 approved]. F1000Research 2018, 7:1784 (https://doi.org/10.5256/f1000research.18334.r40591)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you.

    1. We have clarified that it is feedback from those who have adapted the Key Concepts that has contributed to changes.

    2. The advisory group did ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you.

    1. We have clarified that it is feedback from those who have adapted the Key Concepts that has contributed to changes.

    2. The advisory group did ... Continue reading

Comments on this article Comments (2)

Version 2
VERSION 2 PUBLISHED 23 Jan 2019
Revised
Version 1
VERSION 1 PUBLISHED 12 Nov 2018
Discussion is closed on this version, please comment on the latest version above.
  • Author Response 23 Jan 2019
    Andrew David Oxman, University of Oslo, Oslo, Norway
    23 Jan 2019
    Author Response
    Thank you. We have removed the simplified explanation of p-values from the sentence in question.
    Competing Interests: No competing interests were disclosed.
  • Reader Comment 02 Jan 2019
    David Colquhoun, UCL, UK
    02 Jan 2019
    Reader Comment
    Very nice summary.

    But Table 2 says "The use of p-values to indicate the probability of something having occurred by chance may be misleading;" 

    Not "misleading" but downright ... Continue reading
  • Discussion is closed on this version, please comment on the latest version above.
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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