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- Scope of the Problem
-
1. Current thinking in back pain management - introduction
- Ms. Anna Hlavsova MSc, MCSP, HPC
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2. Genetic epidemiology of low back pain and intervertebral disc degeneration
- Dr. Frances Williams
- Biomechanics, Spinal Surgery and Research Methods
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3. The biomechanics of back pain: what we know so far
- Prof. Michael Adams
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4. Low back pain: a composite of interacting systems?
- Prof. Alison McGregor
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5. What does physiotherapy teach us about back pain?
- Ms. Josephine O'Callaghan
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6. How we currently measure back pain
- Prof. Rob Froud
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7. Back pain: are we measuring the right things?
- Prof. Rob Froud
- Chronic Pain and Current Challenges
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8. The psychosocial flags framework: overcoming obstacles to work
- Prof. Kim Burton
- Current Therapies and Treatments
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9. Psychological treatment for people with musculoskeletal pain 1
- Prof. Tamar Pincus
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10. Psychological treatment for people with musculoskeletal pain 2
- Prof. Tamar Pincus
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11. Current thinking in pain medicine and some thoughts on back pain
- Dr. Nick Hacking
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12. Combined physical and psychological programmes plus alternative therapies for back pain
- Ms. Anna Hlavsova MSc, MCSP, HPC
Printable Handouts
Navigable Slide Index
- Introduction
- Overview
- Review - previous talk
- Current measures
- What is important to patients?
- Activities
- Relationships
- Work
- Stigma
- Changing outlook
- Synthesis
- Does this match what we measure?
- Recent recommendations
- Round-three Delphi ratings
- The ‘primary outcome’
- Roland-Morris questionnaire
- Transition questions
- Binary opposition thought process
- People think differently
- Five thought pathways for a global response
- Discordance patters and participant characteristics
- Where is the discordance?
- What does this tell us?
- What are the implications?
- Next-generation measurement
- Acknowledgement
Topics Covered
- Concerns about existing measurement instruments
- What is important to patients
- Issues with current approaches to back pain measurement
- How back pain measurement might be improved
Talk Citation
Froud, R. (2015, December 31). Back pain: are we measuring the right things? [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/UKJZ5668.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Rob Froud has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Clinical Practice
Transcript
Please wait while the transcript is being prepared...
0:00
Hi, welcome to Back Pain:
Are we Measuring
the Right Things?
A talk in the series
"Current Thinking
in Back Pain Management."
I'm Robert Froud.
I originally trained
as a manual therapist
before going to read
medical statistics
and epidemiology.
I split my time between
the Norwegian School
of Health Sciences in Oslo,
and Warwick Medical School
in the UK.
0:25
So here's just
a running order of the topics
I'm going
to cover in this talk.
First of all I'm gonna do
a very brief review
of things we looked at
in the previous talk entitled
"How do we currently
measure back pain?"
It's not necessary to have
seen that previous talk
to understand
or to follow this talk.
I'm going to explore
what's important to patients,
what they value
in terms of improvement
in their back pain.
Then I'm gonna look at
some of the issues
with their current
outcome measures
and things we measure,
before going on to consider
how we might improve
outcome measurement
more generally.
1:01
So in the previous talk
we saw the most common
outcome measures
that are used
in back pain trials.
We saw that
the visual analogue scale
for pain is very commonly used,
as is the Roland Morris
Disability Questionnaire,
and Oswestry
Disability Questionnaire,
and also the numerical
rating scale for pain.
We reviewed some
of the ideal properties
of these instruments.
We looked at
some of the thinking
that goes into
making an instrument,
and then how we ensure
that it does what
we need it to do.
And primarily that is
to remain stable
when there is no change
in the health
domain of interest
and to actually detect changes
when there are
important changes over time.