Research

New! Awesome! Better! (Learning a new approach)


With all the attention being given to cognitive functional therapy (and deservedly so, IMHO) it’s tempting to leap aboard the modality train and go take a course, isn’t it?

Although I’ve picked on CFT today, it could just as easily have been any of the New! Awesome! Better! therapies that hit the clinical headlines on a frequent basis. The temptation to go “Look! Shiny!” and learn about the latest thing isn’t confined to teenagers following some social media trend. Yup, even sober-sides nearly 60-year-olds like me still want to go on learning, getting better at what I do, keeping up with what’s popular…

And yet I worry just a tad when I see the number of therapies that have kicked off with a hiss and a roar but later don’t seem nearly as promising as they did when they started. Why is that? What am I worrying about?

New ideas can often get picked up without critique, as if a new idea comes fully birthed and complete. The slow decades of development, the theory that underpins an approach, and the careful ways researchers couch their conclusions can be completely ignored in the rush to show that ‘I’m up-to-date’ – and that’s a problem. Why? Because while a hallmark of an expert is in describing complex concepts in a very simple way, when we learn a new therapy we are most certainly not expert. So we’re likely to pick up on superficial and relatively black and white ideas, but fail to be aware of how these ideas are scaffolded by theory (Paas & van Merrienboer, 2020).

The difference between a technician and a professional is, I believe, in how deeply a professional will understand the theory. Theoretical knowledge teaches principles, and principles allow us to be versatile as we apply theory to different settings (Kirk, 2022). It takes time to move from superficial to deep understanding, something we expect during undergraduate learning as we develop epistemic cognition (the process of acquiring, understanding, employing and adapting knowledge to specific contexts) – and mostly, we will have had highly structured learning experiences during our training that will have made this process almost invisible to us as we learned them (Yeung, et al., 2021).

I think this makes postgraduate ‘lifelong learning’ tend towards reinforcing known assumptions – clinicians search for habitus (a set of dispositions that ‘incline’ people towards particular practices) because these fit with ‘things the way they are.’ Yeung and colleagues argue that it’s important to develop epistemic reflexivity, or ‘making strange’ the assumptions that go to make up clinical practice, so we can begin to recognise how these assumptions influence clinical reasoning. This process, however, might not be included in our professional training because it can lead to awkward questions – ones like ‘why’ and ‘what if’ and ones without satisfactory answers. Oh darn.

We can blame limited attention to epistemic reflexivity for the superficial way in which Explain Pain has been adopted. Explain Pain is a great way to begin learning about pain mechanisms, and when delivered in the way that the authors hoped it would, offers people with pain a way in to engaging in therapy that might not look much like what they’d thought they’d get. BUT too many people get the book shoved under their noses as ‘therapy’ in the mistaken hope that (a) the person’s pain will magically reduce simply because they know pain is ‘an output of the brain’; and (b) it works as a stand-alone treatment. It does not, except perhaps for fellow nerds like me.

You see, if your world view of therapy is that people are blank slates on which new information is thought to fix things, or that your job is to ‘correct’ abnormalities, and that you are the Holder of Truth, then a therapeutic innovation like Explain Pain can get picked up and bolted on to everyday practice as if it’s just another modality or technique. All the theory underpinning how and why information and learning might be useful (whether this is from a cognitive behavioural approach, or an educational one) gets lost. And the effectiveness either diluted, or at times, negated.

With CFT, built as it is on psychological principles (operant, classical conditioning, cognitive therapy, experiential learning) and delivered by confident therapists who understand movement and aren’t afraid of pain, the results are great. There is something inherently safe in being in a clinical setting with a confident clinician, exploring previously avoided movements in new and gently graded ways.

What CFT is not, however, is a recipe for correcting wrong beliefs, for pushing people into movements they’re afraid of and before they’re ready, by clinicians who themselves are uncertain, and who are looking for ‘movement dysfunctions’ or ‘deficits.’ It’s not intended to be bolted on to ‘usual practice’ which, as we can readily see from the diverse beliefs and practice about back pain in therapists in the ‘usual care’ arm of just about any RCT we care to review, is pretty messy.

To learn a new approach means making existing practice ‘strange.’ It means feeling awkward. Assumptions about ‘the problem’ and what we should do about it can get questioned. It means starting as a novice – therapy takes longer at first because we have to think harder. Our slick competence gets rattled as we can’t just reach for the things we usually (and automatically) reach for.

I’ve learned three forms of therapy that deviate a long way from my original occupational therapy practice. CBT meant I needed to learn cognitive theory, behavioural theory, how to elicit thoughts and beliefs, and link these to actions the person did. The hardest part of CBT was delaying my problem identification until I’d collected enough information to develop a formulation. Then I learned Motivational Interviewing, with its focus on values and eliciting personal reasons for change. Being willing to employ small sets of phrases and summarising then putting the question back to the person for their decision was hard after having spent so long thinking that I knew best. Finally I started learning ACT, and plunged into the complex world of understanding relational frame theory, the power of a behavioural and experiential way of learning that circumvents words (which are my natural home).

In each case, I’ve had to question the assumptions I’d developed as I delved into the theory underlying these approaches. I’ve really had to challenge myself to relate each new concept to what I already thought of as ‘truth.’ The origins of even starting to poke into ‘psychological’ approaches were embedded in my initial biopsychosocial learning that was inherent in my occupational therapy training – and I was lucky enough to have learned these ideas when they were relatively new and just being introduced by Engel. But I have had to question this perspective as well – and the way I view Engel and his work is quite different today from the way I first understood it.

Parting shot: Being attracted to a new and groovy practice is part of being a human. We’re nothing if we’re not curious (see this post from a few months ago). Let’s keep in mind, though, the need for ongoing critical analysis. Ask questions like: What are we trying to do here? What is the purpose of this approach? What are the theories underpinning this approach? What strategies or means are being carried out to achieve the results? What are the assumptions of this approach? Who benefits from these assumptions? Who is most directly affected by this? Are there alternative perspectives? What else might need to change for this to work? How would we know it had worked? – click here for one of the easily accessed critical thinking worksheets, this one from National Geographic.

Kirk, A. (2023). How physiotherapy students approach learning and their clinical reasoning capability (Doctoral dissertation, University of Otago).

Paas, F., & van Merriënboer, J. J. (2020). Cognitive-load theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29(4), 394-398.

Tremblay, M. L., Leppink, J., Leclerc, G., Rethans, J. J., & Dolmans, D. H. (2019). Simulation‐based education for novices: complex learning tasks promote reflective practice. Medical Education, 53(4), 380-389.

Yeung, E., Gibson, B., Kuper, A., Shaw, J., & Nixon, S. (2019). Making strange’: exploring the development of students’ capacity in epistemic reflexivity. Journal of Humanities in Rehabilitation, 1-15.

Why I’m not fazed by unremarkable results in therapy trials


Remember the old ‘pareto principle’? 80% of the results come from 20% of the input, or as Wikipedia informs me, “the principle of factor sparsity”

I think we’ve got there with musculoskeletal pain, especially low back pain.

The other ‘law’ that might apply is that of diminishing returns.

We’ve learned a great deal about low back pain over my clinical career. We’ve essentially learned what not do to. In the name of progress, thousands of people have put their pain (their bodies) on the line. And progress has not exactly been great right? We’ve learned that paracetamol (acetaminophen) does diddly squat for acute low back pain, and this doesn’t change as pain hangs around (Williams, et al., 2014). We’ve also found out that doing surgery for most back pain isn’t a great thing (except for radicular pain where surgery is better for leg pain than back pain itself) (Chou et al., 2009). We’ve found out that all forms of exercise are great – loads and loads of studies showing this – BUT effect sizes (in other words, how effective it is) are small to modest for both pain and disability. And the most recent study of cognitive functional therapy, while absolutely wonderful and pragmatic and all, is not much different from what has been advocated for at least 30 years while I’ve been in practice (Kent et al., 2023).

Now before Defenders of the Faith accuse me of complete nihilism when it comes to therapy for back pain, let’s do some deconstruction. CFT is an approach where well-trained physiotherapists learn how to carry out guided discovery and graded movements to help people with low back pain explore and gradually expand their movement repertoire. The training is a good 90 hours, apparently, and therapists say they come out of it with greater confidence to: listen, ask open-ended questions, probe for concerns, generate helpful interpretations, then begin to help the person test out movements they may have been less than enthusiastic to do for quite some time. The excellent things about this approach, and the research O’Sullivan and colleagues have done, is that they’ve replicated the ‘method’ (guided discovery, graded movement, really good listening) in different countries, with different researchers, different therapists (though mainly physiotherapists), and in people with different durations of pain.

The outcomes are pretty good. I like that participants were monitored for 52 weeks, so there’s hope the gains they made are durable. I like that they measured patient-specific function rather than ‘standardised’ outcomes. I like that psychosocial factors such as pain self-efficacy, and pain catastrophising and fear-avoidance beliefs were monitored and all show pleasing changes over time.

BUT let’s temper the enthusiasm with some realism, OK? And please, I’m agnostic about what is being done, I care about people. Here’s the thing – pain reduced by around 2 on a 0 – 10 NRS to a mean of 4/10; people felt they could do more by about 15 points on the RMDQ; pain catastrophising reduced by 4 points on the PCS. In other words, although these are statistically significant and better than ‘usual care’ (whatever that means), people with low back pain continue to have ongoing pain at 4/10 on this (stupid) numeric rating scale.

Cutting to the chase, good therapeutic relationship (the ingredients of which are built on empathic and reflective listening, collaboration, warmth, trustworthiness, a sense of competence – see Kinney et al., 2020 for a systematic review of therapeutic alliance in physiotherapists), and therapist confidence when helping someone do a hard thing is critical. Combine this with gentle graded movements to nudge into those areas of mistrust in the body and you have a winning combination. And guess what? It has been core within pain management programmes following a cognitive behavioural approach for most of my 30 years in practice.

The thing is, being confident when you know you are asking people to do the very things that are hard for them to do is not something we learn easily. Most clinicians don’t like seeing people distressed, tearful, angry, frustrated or scared. In a climate where pain has been seen as ‘the enemy’ and eliminating or reducing pain has been the focus, therapists have been just as worried about pain as the people they hope to help.

What do these small reductions in pain intensity and disability despite decades of research tell me?
I have a kind of optimistic view of it all. If the ‘what’ we do (ie movement forms) isn’t super crucial, but the ‘how’ we do it is, then shouldn’t we focus a whole lot more on two important legs of the infamous evidence-based healthcare triad? That is, if movement is a good thing, then that’s our ‘evidence from research’. The other two legs are – clinician’s experience and skills, and the person’s own values and preferences.

If we agree that movement is a good thing, and avoiding is not, then the form of movement a person does isn’t nearly as important as the clinician being able to convey that they are listening and care about the person and that they are safe.

And finally, the person can decide what kind of movement practice suits them! Finally we get to the person in the person-centred care model!

As a person who does not like boring, I demand variety in my movement repertoire. I want to be able to explore movements that interest me, that are demanding but not just focus on my body – I’m happy to push hard to do things that intrigue me, like climbing up a hill to take photographs from the tops, or to dance a complex set to music that sets my heart on fire, or to paddle serenely along the length of a lake with the still water like glass. I want to relish the strength of my body as I lift bags of compost and fertiliser and I rake leaves and dig weeds and prune my damned wisteria yet again.

Because, you see, humans don’t mind doing hard things if it’s worth it, and with the support of a caring person who shows that they’ll be there, waving the flag, as they go for it. And really, that’s what I hold onto when it comes to movement and pain. Be the trustworthy clinician. Be humble about the results. Don’t oversell and hype what isn’t terribly technical but IS hard to do.

If all we learn from the RESTORE trial is that when therapists get confident to listen well, and guide discovery in movement, people begin their own journey to wellbeing, then I’m perfectly happy. Let’s just not trademark this practice. It should be fundamental to practice.

ps for the avoidance of doubt, I’m NOT suggesting that CFT is being ‘trademarked’ – I’m warning against anyone who is thinking of branding or trademarking these strategies (it’s happened before with ways to use good communication in musculoskeletal pain).

Chou, Roger; Baisden, James; Carragee, Eugene J.; Resnick, Daniel K. ; Shaffer, William O.; Loeser, John D. . Surgery for Low Back Pain: A Review of the Evidence for an American Pain Society Clinical Practice Guideline. Spine 34(10):p 1094-1109, May 1, 2009. | DOI: 10.1097/BRS.0b013e3181a105fc

Kent, P., Haines, T., O’Sullivan, P., Smith, A., Campbell, A., Schutze, R., Attwell, S., Caneiro, J. P., Laird, R., O’Sullivan, K., McGregor, A., Hartvigsen, J., Lee, D. A., Vickery, A., Hancock, M., & team, R. t. (2023). Cognitive functional therapy with or without movement sensor biofeedback versus usual care for chronic, disabling low back pain (RESTORE): a randomised, controlled, three-arm, parallel group, phase 3, clinical trial. Lancet. https://doi.org/10.1016/S0140-6736(23)00441-5

Kinney, M., Seider, J., Beaty, A. F., Coughlin, K., Dyal, M., & Clewley, D. (2020). The impact of therapeutic alliance in physical therapy for chronic musculoskeletal pain: A systematic review of the literature. Physiother Theory Pract, 36(8), 886-898. https://doi.org/10.1080/09593985.2018.1516015

Williams CM, Maher CG, Latimer J, et al. Efficacy of paracetamol for acute low-back pain: a double-blind, randomised controlled trial. Lancet 2014; 384: 1586–1596.

“… someone needs to find the cause of my pain, then fix it.” What to do with sticky beliefs


I think most clinicians, and certainly a lot of people living with pain, want to know ‘what’s going on’ – with the hope that, once identified, ‘something’ can be done. Tricky stuff to navigate both as a person living with pain, and as a clinician – because for so many chronic pains, a diagnosis does very little.

Having a label has some benefits, for sure: it acts as a short-hand when talking about what’s going on with others; it can validate that the mysterious problems a person has been having are ‘real’ (though I could say more about that!); it can help people find others with similar problems; and there’s always hope that by giving the problem a name it might lead to effective treatment. In the case of pains involving neuropathic or nociplastic mechanisms however, effective therapies are few, far between, and not terribly effective.

From a clinician’s perspective one of the most challenging situations is knowing what to do when someone is really convinced that there is a ‘something’ to be found, because many know how little diagnoses actually help. After all, each person with ‘lateral elbow pain’ might have pain in their lateral elbow, but how it affects them differs wildly depending on what they want to, and need to do in daily life.

For the person with pain who knows their own body and knows what their ‘normal’ feels like, finding the cause seems utterly logical and the necessary requirement before being able to get better.

Clinicians have used many ways to ‘explain pain’ or otherwise give people a handle on what might be going on. Almost all of our strategies aim to help people feel OK to move even with pain and emphasise that when pain persists, it’s less about harm and ‘alarm signals’ and more about problems in the nociceptive system. The rationale for these explanations is to encourage people to engage with therapy and begin rehab.

Problem is that for the person living with pain this can feel dismissive. Like their worries about what might be going on are trivialised, and they’re being kept in the dark almost as a show of power (or to confirm how useless medicine is).

From an ACT perspective, we have a few options, beginning by first looking at the function of getting a diagnosis. I pointed out some of the benefits of diagnoses in the second paragraph above. These show how diagnoses can function in people’s lives. When a person doesn’t have a diagnosis, the converse can apply: people can feel invalidated, that their pain is mysterious (and usually means something scary), that there is no answer and they’re on their own trying to deal with it, that the people around them may never know what it’s like to deal with it, and that this might be their life forever. I can see why the search for a label continues.

The good thing is, clinicians can help someone with those feelings even without giving a diagnosis. And clinicians will likely still have to help people in the same way even with a diagnosis.

As clinicians we have ways to work with people at this stage in their life with pain. My go-to is to ask the person to tell me the good things about continuing to look for a diagnosis from their perspective. I listen very carefully because this matters, this tells me about what the person is yearning for (even if I need to go below the words and explore the meaning behind them). For example, if a person says “I keep looking because I’m sure it will lead to the right treatment” or “I feel the doctors don’t take me seriously because they can’t find anything” or “I know [insert name] who had the same things going on and eventually they found what’s wrong but too late”, I hear a yearning for ‘life to return to normal’, ‘I want respect and affirmation’, ‘I’m scared this might go on and on and I’ll be stuck like this for life.’ I check my interpretations out with the person as I summarise the ‘good things’ about looking for a diagnosis.

Then I ask the person to tell me the not-so-good-things about looking for a diagnosis. Sometimes I’ll prompt them with examples they’ve already told me: like the hope then despair of going through investigations; the financial and life burden of continuing to look; the endless waiting and waiting for results; the dismissive attitude if nothing is found… The list can be very long indeed. And heartbreakingly sad. The search may have been going on for years. Again, I’ll summarise, and ask the person how this affects them as people. I have such compassion for people who have gone through this for so long. The yearning for making sense is strong in all of us!

By summarising both the good and the not-so-good of looking for a definitive diagnosis, and asking the person what sense they make of it all, the aim is to take a long look at how this search is functioning in the person’s life. For some people it hasn’t stopped them from doing what matters, and the search is almost like a scavenger hunt. Life has carried on. They do the important things for them, and that’s fine. For others, taking a stocktake like this has significant impact. Remember, doing this is not in the service of what I want as a clinician. This exercise aims to find out how the search is working for the person and what matters to them.

Once I’ve gone through this process, I begin looking at whether the person is ready for an alternative approach. Of course, this is only considered if they identify that the costs of continuing to search for a diagnosis are too high, and they recognise that it’s been having a negative impact on them. If it is time to switch things up, I can use the fingertrap example , I might talk about how natural and normal it is to want to make sense of things (we’re in this together, we’re all human and want a sense of coherence), I could draw on the digging a hole metaphor or ‘drop the rope’ metaphor. The aim is to help people recognise that stopping the search is a valid way of responding to this need for coherence.

Truth is, though, I don’t usually use these metaphors but instead ask the person ‘if your pain wasn’t as much of a problem for you, what would you be doing?’ and collaborate with the person to understand the values underneath that desire. Working with positive directions (appetitive motivation rather than aversive motivation) helps people pick up on what makes their life worthwhile.

All and any of the processes in the hexaflex can be used to help someone who has got stuck in the pursuit of finding a diagnosis. What matters for us as clinicians is: (1) to be mindful of how this search is functioning (don’t mess with something that isn’t getting in the way of living a meaningful life, but just as importantly, don’t buy into the search for coherence without considering how this may be interfering with helping the person do what matters to them); (2) to explore this process with compassion, knowing that we all do this – and that it has at times led us to develop unhelpful explanations and diagnostic labels, use metaphors that don’t hold much meaning to the person, and leave the person feeling like we don’t take their concerns seriously and don’t care.

Want resources for this? My go-to books are: A liberated mind – https://contextualscience.org/publications/a_liberated_mind_how_to_pivot_toward_what_matters

Learning ACT – https://www.newharbinger.com/9781626259492/learning-act/

Westrup, D., & Wright, M. J. (2017). Learning ACT for Group Treatment: An Acceptance and Commitment Therapy Skills Training Manual for Therapists. Context Press.

Radical relief – https://www.optp.com/Radical-Relief-A-Guide-to-Overcome-Chronic-Pain

There are so many ACT research papers available – with nearly 1000 RCTs, many conducted with people living with chronic pain, ACT is one of the most well-researched therapies across diverse populations of any therapy. The processes of ACT have been validated in people with chronic pain, and you can take confidence both as a person with pain, and clinicians, that ACT has shown highly effective and longlasting effects. Clinicians from any therapeutic background can learn ACT and use it without stepping over ‘scope of practice’ issues. I’ve been using ACT as an occupational therapist for around 19, maybe 20 years. I’d love for more clinicians to learn ACT and bring this into their clinical practice because it’s liberating for us too.

‘Women’s pain’ – not just ‘women’s pain’


Women really do get a rough deal when it comes to pain. We live with the myth that because women experience pain in childbirth and (often) with periods of course women can ‘deal with it.’

Until recently women and female animals haven’t been included in pain research, and guess what? Women and female animals don’t have the same biological system for processing nociception.

Men are told ‘don’t be a girl’ about their pain.

Women are told they ‘look too good’ to be experiencing pain.

Women don’t get taken seriously when they ask for help with their pain – and get given more psychological labels and help instead of appropriate investigations and effective analgesia.

I’ve just reviewed a whole heap of research papers looking at the differences between men and women, boys and girls and pain. It doesn’t make for happy reading, and even though I was fully aware of the disparity I have been thunderstruck at how pervasive pain in women is dismissed.

Let’s look at some facts for women in New Zealand.

https://minhealthnz.shinyapps.io/nz-health-survey-2021-22-annual-data-explorer/_w_37711963/#!/explore-indicators

This survey asks the question: Do you have chronic pain that is present almost every day, but the intensity of the pain may vary, and has lasted, or is expected to last, more than six months. This includes chronic pain that is reduced by treatment?

By comparison, Asthma (diagnosed and treated) – 11.4%; Diabetes – 5.2%; Chronic Pain – 22.6%

BUT there is NO national priority for chronic pain, and more women than men report it.

Want more? What’s the major area of pain for women in Aotearoa? According to the Global Burden of Disease, the most significant contributor to years lived with disability for women in New Zealand is – no, not endometriosis, not menstrual pain, but low back pain, followed by migraine. We hear a lot about endometriosis, but rather less about the overall problem of pain for women.

https://vizhub.healthdata.org/gbd-compare/

In reviewing international data I came across this study looking at 11,000 patient records, and evaluating the differences in reported pain intensity between men and women receiving care for the same diagnoses (Ruau et al., 2012).

This was gobsmacking to me. We KNOW that women are more likely to develop chronic pain (many of the studies show a 2:1 prevalence for women with chronic pain – see Fitzcharles et al., 2021) – but are clinicians aware that women report higher pain intensity, lower pain threshold and lower pain tolerance than men in acute pain? For an excellent review of sex differences in neurobiology, take a look at this paper by Presto and colleagues (2022).

But wait, sadly there’s more.

When women seek help for their pain, from childhood their pain is minimised and managed less assertively than men. Here are some examples from my recent wandering through the literature.

Girls are thought to be experiencing less pain than boys…

Earp et al., (2019) replicated a previous study showing that when clinicians were asked to watch a video and rate how much pain a child was experiencing when having a fingerprick blood test. The child’s gender was considered ‘ambiguous’ (so not easily identified as either a boy or a girl) but the participants were told either a boy’s name or a girl’s name, and asked to rate the pain. There were a whole bunch of other questions asked, but I’ll cut to the chase. No, Virginia, your pain is not as bad as Larry’s, and the gender of the observer was irrelevant. The authors said: “if the belief that boys tend to display less pain than girls is what is driving the relevant inferential process—that is, that this particular “boy” must really be in pain—then controlling for that belief should make the between-subjects difference in pain sensation ratings diminish or disappear. Indeed, this is what we find.”

Naamany and colleagues (2019) found that women attending the emergency department with acute renal colic (nasty pain for sure) reported higher pain intensity BUT men were given analgesics more frequently including opioids and more drugs overall than women.

Men reporting cardiovascular-related chest pain were 2.5 times more likely to be referred to a cardiologist than women….(Liaudat et al., 2018).

AND I wasn’t aware that one in three women quit doing daily activities because of menstrual symptoms, but 50% of them never mention this to family/friends or seek healthcare (Schoep et al., 2019).

Folks, it doesn’t get any better and actually gets a whole lot worse when we’re talking about chronic pain…

Samulowitz and colleagues (2018) carried out an exhaustive review of gender disparity in pain literature. It’s well worth a read (but keep the tissues handy, and watch your blood pressure if you are of ‘gentle disposition’). Essentially the findings show that women are actually biologically more sensitive to nociception, are more willing to report pain and apparently it’s more socially acceptable for women to be experiencing pain. BUT women are assigned ‘psychological’ rather than somatic causes for their pain, struggle for legitimacy, have their appearance scrutinized (‘you look too well to be in pain’), are prescribed less and when given analgesia are given less effective pain relief, fewer opioids but more antidepressants (though that could be because women are 2:1 more likely to have nociplastic pains), and give more mental health referrals instead of active rehabilitation. Even the recommendations for rehabilitation differ depending on gender (Wiklund et al., 2016).

Frankly, it’s outrageous.

It sucks to find that women’s pain continues to be trivialised, and women get given poorer treatment. We must change this because, duh, it’s a fundamental human right to be given access to pain management. It’s also a fundamental right to be treated with the same respect and diligence irrespective of your sex or gender. The flow-on effects of ineffective, inappropriate and inadequate pain management on women are profound.

Begin by getting loud about this. Look at your own assumptions. Be willing to question your treatment if you’re a woman. Be willing to review your practice, both men and women.

Earp, B. D., Monrad, J. T., LaFrance, M., Bargh, J. A., Cohen, L. L., & Richeson, J. A. (2019). Featured Article: Gender Bias in Pediatric Pain Assessment. Journal of Pediatric Psychology, 44(4), 403-414. https://doi.org/10.1093/jpepsy/jsy104

Fitzcharles, M.-A., Cohen, S. P., Clauw, D. J., Littlejohn, G., Usui, C., & Häuser, W. (2021). Nociplastic pain: towards an understanding of prevalent pain conditions. The Lancet, 397(10289), 2098-2110. https://doi.org/10.1016/s0140-6736(21)00392-5

Clerc Liaudat, C., Vaucher, P., De Francesco, T., Jaunin-Stalder, N., Herzig, L., Verdon, F., Favrat, B., Locatelli, I., & Clair, C. (2018). Sex/gender bias in the management of chest pain in ambulatory care. Womens Health (Lond), 14, 1745506518805641. https://doi.org/10.1177/1745506518805641

Naamany, E., Reis, D., Zuker-Herman, R., Drescher, M., Glezerman, M., & Shiber, S. (2019). Is There Gender Discrimination in Acute Renal Colic Pain Management? A Retrospective Analysis in an Emergency Department Setting. Pain Management Nursing, 20(6), 633-638. https://doi.org/https://doi.org/10.1016/j.pmn.2019.03.004

Presto, P., Mazzitelli, M., Junell, R., Griffin, Z., & Neugebauer, V. (2022). Sex differences in pain along the neuraxis. Neuropharmacology, 210, 109030. https://doi.org/10.1016/j.neuropharm.2022.109030

Ruau, D., Liu, L. Y., Clark, J. D., Angst, M. S., & Butte, A. J. (2012). Sex differences in reported pain across 11,000 patients captured in electronic medical records. Journal of Pain, 13(3), 228-234. https://doi.org/10.1016/j.jpain.2011.11.002

Samulowitz, A., Gremyr, I., Eriksson, E., & Hensing, G. (2018). “Brave Men” and “Emotional Women”: A Theory-Guided Literature Review on Gender Bias in Health Care and Gendered Norms towards Patients with Chronic Pain. Pain Research and Management, 2018. https://doi.org/https://doi.org/10.1155/2018/6358624

Schoep, M. E., Nieboer, T. E., van der Zanden, M., Braat, D. D. M., & Nap, A. W. (2019). The impact of menstrual symptoms on everyday life: a survey among 42,879 women. American Journal of Obstetrics & Gynecology, 220(6), 569 e561-569 e567. https://doi.org/10.1016/j.ajog.2019.02.048

Wiklund, M., Fjellman-Wiklund, A., Stalnacke, B. M., Hammarstrom, A., & Lehti, A. (2016). Access to rehabilitation: patient perceptions of inequalities in access to specialty pain rehabilitation from a gender and intersectional perspective. Glob Health Action, 9, 31542. https://doi.org/10.3402/gha.v9.31542

On not being an arse


Humans are judgemental beings. All of us are. It’s part of having a big brain and wanting to know who’s ‘in’ and who’s ‘out’. Judgements help us make decisions, they’re surprisingly resistant to change, and they can inadvertently trap us into doing things we would never countenance were we able to stand back from what our minds want us to know (and feel).

My post today is prompted by a couple of conversations recently. One was with a clinician, new to a pain team, who found that experienced members of that team thought actions taken by a person with pain were a sign of ‘catastrophising’ and ‘failing to accept’ and worse – ‘not engaging in the programme.’ He’d thought the very same actions were an indication of someone trying very hard to improve their situation, of being motivated to learn and experiment, of being a self-advocate.

The other conversation was with someone who had not been referred for investigations for a new pain she had developed, on the basis that ‘hurt doesn’t equal harm’ and because she already had a chronic pain problem. She went through many years of distress and disability because her new pain was not investigated – but once it was, she got a diagnosis and the treatment that reduced that pain and relieved her distress. Sadly the psychological distress of not having her concerns addressed lives on.

How can we get it so wrong? How is it that good clinicians with the best of intentions (my assumption) make judgements about a person, their pain, and what they do about it and paint the person with pain in such negative ways?

Perhaps clinicians can be excused for holding negative attitudes towards people with chronic pain because the prevailing belief in our clinical communities is that ‘we, the professionals, know what’s right.’ We know this because we have the randomised controlled trials that show us Truth about What Works and What Does Not. I write these in capitals because while health professionals embrace evidence-based health care, I’m not sure we’re all that au fait with the original model of EBHC and its three-part definition: “a systematic approach to clinical problem solving which allows the integration of the best available research evidence with clinical expertise and patient values (Sackett, et al., 1996).” Note those last two points: clinical expertise and patient values.

We’re also not very good at being critical about research. Well, I take that back, we pull research apart when the results don’t equate with our experience or preferences, and gulp down whole the research that does… but what we don’t do nearly as well is to be critical of implicit issues with research paradigms. What I mean by this is we don’t ask ourselves whether the assumptions used in statistical analyses hold true (I’ve discussed ergodicity before); whether the participants recruited to studies are anything like the people we see (research participants are selected to reflect a ‘pure’ construct for testing, so people with multiple comorbidities, who might have difficulty with language or who might not even engage with healthcare and those who are not from high income countries aren’t represented); whether the treatment/s studied in research look anything like what is actually delivered in daily clinical practice, even how long the follow-ups are and what happens once a person is not part of a research project.

Limited critical analysis means results from research reach practice quite quickly (even though the nuances reported by the researchers in those papers often do not) and what’s worse, help to reinforce a hierarchy separating the person seeking help and us as clinicians. After all, us clinicians spend years learning all this stuff so it should count for something, shouldn’t it?

Well… not as much as we’d like it to, perhaps.

Because if clinicians judge a person based on erroneous beliefs about the superiority of what we know in theory (because quantitative research represents only a ‘failure to reject the null hypothesis‘ not definitive support for a theoretical prediction) we’re not inclined to be curious about what the person brings into our communication. Walt Whitman apparently said “Be curious, not judgemental” – and curiosity allows clinicians to suspend judgement in order to explore, to dive more deeply into detail and context, and ultimately, to be more compassionate. Don’t believe me? Take a look at this paper by Shields, et al., (2013).

“Physicians who used more certainty language engaged in less thorough assessment of pain (β = -0.48, p < .05). Conversely, physicians who engaged in more exploring and validating of patient concerns (β = 0.27, p < .05) had higher ratings on anxiety/concerned voice tone (β = 0.25, p <.01) and engaged in more thorough assessment of pain. Together, these three factors accounted for 38% of the variance in pain assessment. Physicians who convey certainty in discussions with patients suffering from pain may be more likely to close prematurely their assessment of pain. We found that expressions of physician concern and responsiveness (curiosity) were associated with superior pain assessment.”

We could replace ‘physician’ with any other healthcare professional, and my bet is we’d find the same thing.

Why does this matter?

Well, after being part of a number of “experts by experience” conversations over the years, the message coming through loud and clear is that clinicians who judge people negatively and fail to respond to what it is the person intends or needs, but instead dismiss their concerns as ‘catastrophising’ or ‘maladaptive thinking’ or even ‘not motivated to engage’ leave people with pain in distress. The psychological impact of feeling that your concerns are not important, of being dismissed, of not being heard is long-lasting. One person I’ve spoken to described her anxiety about seeking help from a clinician after a single time where her concerns weren’t acknowledged.

We might not intend to do it. We may think we’re doing the right thing – and possibly we are doing the right thing but doing it in a ham-fisted and damaging way.

  • First listen, be curious and understand why a person has done what they’ve done. People don’t get up in the morning to do dumb things. There’s always some underlying reason a person does what they do.
  • Then reflect in a compassionate and empathetic way – show the person you’ve heard them. Let them know what it is you’ve understood – let them correct you if you’ve got it wrong and remember that taking the time to do this saves time.
  • Ask them how well their approach is working for them. Aim to understand the benefits from their perspective. Normalise their approach – humans do what humans do, try to solve a problem using the tools at their disposal, just the same way we do as clinicians. Ask about the short-term effects, and the long-term impact. Ask about the good and not-so-good of their approach. BE CURIOUS!
  • Involve the person in your decision-making. Be honest about your reasoning and be real about the level of uncertainty that exists in our knowledge about pain. This person is an individual, not a number in an RCT, this person probably doesn’t even look like a participant in an RTC.
  • Be specific with your reassurance. Don’t dismiss someone’s concern about a new pain: find out what it is they’re concerned about and ensure you clearly address that concern. Don’t be patronising – be authentic and real.

There is so much harm we clinicians inadvertently do because we’re not flexible, we don’t take time to really hear how a person gets to where they are in their journey with pain, and we really need to be more critical about our own assumptions.

Sackett, D. L., Rosenberg, W. M., Gray, J. M., Haynes, R. B., & Richardson, W. S. (1996). Evidence based medicine: what it is and what it isn’t. Bmj, 312(7023), 71-72.

Shields, C. G., Finley, M. A., Elias, C. M., Coker, C. J., Griggs, J. J., Fiscella, K., & Epstein, R. M. (2013). Pain assessment: the roles of physician certainty and curiosity. Health Communication, 28(7), 740-746. https://doi.org/10.1080/10410236.2012.715380

What do people want from pain management?


The short answer is often “take my pain away” – and we’d be foolish to ignore the impact of pain intensity on distress and disability. At the same time there’s more than enough research showing that if treatment only emphasises pain intensity (1) it may not be achievable for many, especially if we take into account the small effect sizes on pain intensity from exercise, medications and psychological therapies; and (2) even if pain is reduced, it may not translate into improvements in daily life.

The slightly more complex answer lies behind the desire to “take my pain away.” We need to be less superficial in our responses to this simple answer – and take a hard look at what people believe pain represents to them, and what they want to be able to do if pain is reduced.

A paper in the current issue of Pain piqued my interest as the authors explored what people with ongoing pain chose as treatments when given the choice. The paper itself is a systematic review of research papers using discrete choice experiments to determine preferences of people with pain when deciding on treatment.

Discrete choice experiments assume that treatments can be described by their important features, such as where therapy is administered, how often, the target outcome, adverse effects and so on. The approach also assumes that people make choices based on their personal weighting or the value they place on those features. As the experiment progresses, participants are asked to weight each attribute and choose their preferences as they gradually narrow the number of choices. (This open access paper outlines DCE in health in a little more detail – click, or you can take a look at this YouTube video summarising DCE – click).

Now there are some issues I have about this approach, because it also assumes that people make logical choices, that they have freedom to choose independently of other influences (like medico-legal requirements or cultural factors), and it also assumes that people make decisions in the same way that economic modeling finds – and I’m not so sure of that! Having said this, the methodology does shed some light on what people might value provided these assumptions hold true.

Following a systematic search of the databases, the authors identified 51 studies with a total of 4065 participants included, and were published between 2004 and 2021. Most of the studies looked at low back pain and/or osteoarthritis (high prevalence = lots of participants = easy to access). When analysing the attributes participants were asked to choose from, the authors identified the following (not all listed):

  • Capacity to realise daily life activities – walking, domestic activities, social activities, activities of daily living, difficulties doing daily tasks etc
  • Risk of adverse events – side effects, cardiovascular events, upper gastrointestinal problems etc
  • Effectiveness on pain reduction – maximum pain intensity, improvement in pain, pain intensity, reduction in pain etc
  • Out of pocket costs – direct payment, premium reduction, cost etc
  • Treatment frequency – schedule, frequency, time
  • Onset of treatment efficacy – waiting time for effect, time before able to exercise
  • Design – individual, group, supervised
  • Travel time
  • Relapse risk
  • Duration of effectiveness

What did they find?

Unsurprisingly, they identified that reduced pain was highly desired, and again, unsurprisingly, they found that the risk of adverse events was pretty darned important. What might be surprising is the capacity to realise daily life activities was the third most frequently rated attribute! In other words, while pain reduction and not having harmful effects was important, the capacity to do what matters is absolutely crucial!

Something I found rather interesting, though, is located deep in the manuscript: neither psychological interventions nor manual therapy have been investigated with this methodology. Now that is odd. And something that sorely needs to be examined because, at least in New Zealand, ‘psychology’ for pain is (almost) obligatory for pain programmes, at least those provided under the auspices of our national compensation organisation. What this means is, we don’t know whether people would choose psychological approaches over other forms of treatment for pain… and isn’t it time we did?

The authors point out that IMMPACT (Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials) recommends six core outcomes when evaluating the effectiveness of treatments for chronic pain. These are pain, physical function, emotional functioning, participant ratings of global improvement and satisfaction with treatment, adverse events, and participant disposition. Interestingly, there’s no specific mention of enhanced capacity to do daily life – it’s assumed, I suppose, that improved physical and emotional functioning translate to improved daily life, but they’re not a direct equivalent (it’s an assumption, right?). Given the differences found between what people do in a treatment setting, vs what they do do in their own life contexts, maybe this is something we should pay far more attention to.

I also note that the attributes don’t include in the need to adopt lifelong changes in routines, choices, activities, participation. Things like exercise, for example, along with medications, often need to be carried out over long periods of time – years, even. And research doesn’t manage to follow people over long periods because it’s very expensive and people drop out. And yet – this is exactly what people with pain must do.

Sensitively, the authors also point out that people at different life ages and stages may make different choices. If I’m nearing the end of my life, I might be more willing to ‘take the risk’ of an adverse event over the need to make long-lasting changes to my daily routine – the quick fix beckons! Concurrently, I’m curious that something clinicians consistently complain about: the desire people have for ‘quick fixes’ or immediate results ranked relatively low on the frequency table – at 1/3 of the ranking frequency. It’s the hope that treatment will enable people to do what matters in their life that seems so important! Who would have guessed…

Now my question is: do currently popular treatments (at least in New Zealand) like exercise and ‘psychological therapies’ have a useful impact on what people with pain rate so highly? Do they actually translate into enhanced capacity to engage in what matters to individuals? If they do – how is this measured? Does a ‘disability’ measure capture what’s important? Does a ‘quality of life’ measure do that well? When I value being able to do some things that really matter to me, but don’t matter to my partner or my next-door-neighbour, are we measuring these individual differences? And in what contexts? I might be happy to compromise on my ability to walk quickly over rough ground in the weekend, but what about my willingness to compromise on my walking at work? How about my ability to sit? What if I’m OK sitting with a soft cushion under my butt at home, but can’t carry that thing around with me to work or the movies or the restaurant or church?

Daily life activities are THE area of expertise of occupational therapists. If being able to do daily life is what people want, why oh why are so few occupational therapists included in pain programmes – even a tertiary level provider here in my home city? Come on, let’s get real about what occupational therapists know about! (end of rant!).

Zhu, M., Dong, D., Lo, H. H., Wong, S. Y., Mo, P. K., & Sit, R. W. (2022). Patient preferences in the treatment of chronic musculoskeletal pain: a systematic review of discrete choice experiments. Pain. 164(4). 675-689. https://doi.org/10.1097/j.pain.0000000000002775

N of 1 studies – great examples


It’s true that ‘unconventional’ studies of any kind don’t get published as readily as conventional RCTs even if those studies are under-powered, have errors in their construction and don’t tell us much of anything. Grrr. Publishing studies from my PhD has been fraught because I chose a form of grounded theory that doesn’t conform to the conventional constructivist or Straussian approach. What, then are we to do?

Two things strike me: first we always need to select a research method to give us the best answer to our research question, not something that will ‘get published’ easily. There are many research questions and RCTs simply don’t answer them all. A quantitative method doesn’t lend itself to ‘why’ questions and inevitably require assumptions about the factors thought to be relevant, the measurement strategy, the underlying theory explaining what’s going on. This doesn’t really help us when we have a new field of study to look at, where there is no clear theoretical explanation, where measures don’t measure what’s relevant. Hence drawing on different designs like mixed methods and qualitative approaches. From a pragmatic perspective, the numbers needed for an RCT are much greater than most clinicians can find unless they’re working in a large research setting (and have a bit of funding!). Nevertheless, ‘pilot’ studies using RCT methods do get published even when they don’t have huge explanatory power, partly because they’re familiar to the reviewers.

The second thing that strikes me is: we need to have good exemplars. These give us a template of sorts to learn how to conduct good research, how to communicate why a particular ‘unconventional’ method is the best way to answer the question, and how to write the results/findings in a way that is compelling.

I’ve written before about the failure of much research in human behaviour and experience to understand that ergodic theorum is violated in grouped statistics. This means we can deeply question the results as they apply to the person we see in the clinic. Ergodicity implies that all people in a group will ultimately follow the same trajectory, develop in the same way over the same time, respond to treatment in the same way and follow the same processes. But clinicians know that some people respond very quickly to a component in a programme, while others don’t.

I recently found this example from Tarko (2005) and cited in Lowie & Verspoor (2019)

OK, ’nuff said. Ergodicity matters.

Choosing the right research strategy begins with having a good research question, and most clinicians have a very good research question: what is the best treatment I can offer this person presenting in this way at this time? The follow-up question is: is this treatment helping? or… to be more precise, which component of my treatment/s are helping?

It’s this question that N=1 or single case experimental designs are intended to answer, and they do it very well.

Here are some great examples of published studies using intensive repeated measures – and we need more of these!

Lydon-Staley, D. M., Zurn, P., & Bassett, D. S. (2020). Within-person variability in curiosity during daily life and associations with well-being. Journal of Personality, 88(4), 625-641. https://doi.org/10.1111/jopy.12515

I included this one because it’s not about pain! And yet it sheds light on something important in pain management. Curiosity is about being intrigued by novel, unfamiliar situations. Curiosity doesn’t flourish when a person is anxious, but does when people are wanting to increase their knowledge and skills, and it’s associated with greater well-being. So it’s something clinicians might want to foster – especially for someone who has become afraid to rely on their body and body sensations. In this study, people were asked to complete a daily diary and do some internet browsing (yay! my favourite thing to do!). After some fairly complex statistical analysis (described in good detail in this paper), the results from 167 people who completed 21 days of daily diary measures and a one-off set of measures showed that being consistently curious is associated with feeling good – AND that doing physical movement practices might enhance curiosity via improving mood. Now that’s worth knowing.

Mun, C. J., Thummala, K., Davis, M. C., Karoly, P., Tennen, H., & Zautra, A. J. (2017). Predictors and social consequences of daily pain expectancy among adults with chronic pain. Pain, 158(7), 1224-1233. http://dx.doi.org/10.1097/j.pain.0000000000000903

Now this study is a big one – 231 people in study one, and 220 people in study two. Cutting to the chase, these researchers found that people who expected high pain in the evening experienced greater pain the next day, even when controlling for current pain intensity. The study also found that morning pain predicted next afternoon social enjoyment but not social stress. And what this means is…. clinicians need to promote joy/fun/positive affect, and to help people reduce their expectations that their pain will inevitably increase or ‘be bad’ – it’s anticipation that seems to influence pain intensity and avoidance. These study designs allow researchers to tease apart the factors contributing to experiences over time. We need more of them!

Hollander, M. D., de Jong, J., Onghena, P., & Vlaeyen, J. W. S. (2020). Generalization of exposure in vivo in Complex Regional Pain Syndrome type I. Behaviour Research and Therapy, 124. https://doi.org/https://doi.org/10.1016/j.brat.2019.103511

And from a large study to a much smaller one with – wait for it – 8 participants! That’s more like the numbers we see in clinic, right? This study examined whether it’s more fruitful to expose people to many activities they’ve previously avoided, or instead, to limit the number of activities each person was exposed to. This is SUCH an important component of therapy where people have avoided doing things that bother them because they anticipate either that their pain will go to untolerable levels (or interfere with other important things like sleep) or because they’re worried they’ll do harm to themselves. Why? Because doing things in one safe space is not life. We do lots of activities in lots of different spaces, and most of them are unpredictable and we don’t have a ‘safe person’ to rely on. It’s perhaps one of the reasons exercise carried out in a gym might not transfer into greater reductions in disability in daily life – and why involving occupational therapists in pain management as ‘knowledge translation experts’ is such a good thing.

Caneiro, J. P., Smith, A., Rabey, M., Moseley, G. L., & O’Sullivan, P. (2017). Process of Change in Pain-Related Fear: Clinical Insights From a Single Case Report of Persistent Back Pain Managed With Cognitive Functional Therapy. Journal of Orthopaedic & Sports Physical Therapy, 47(9), 637-651. https://doi.org/10.2519/jospt.2017.7371

Lucky last – a single case study exploring the process of change experienced by one person undergoing cognitive functional therapy. While recent meta-analyses suggest CFT is ‘no better’ than any other treatment for people with persistent pain, what meta-analyses can’t show is those for whom it’s highly effective. Why? Because individual responses don’t show up in meta-analyses, and the mean or even the confidence intervals don’t show those people who do extremely well – or those who don’t do well at all. And yet as clinicians, we deal with each individual.

Now I chose these four studies because they are all published in highly respected and ‘highly ranked’ journals. I don’t care a fig about the supposed rank of a journal, but there’s no doubt that getting into one of these journals requires research of a very good standard. And somehow these ones snuck through!

Am I suggesting that RCTs shouldn’t feature in research? No – but I do think a much more careful analysis of these is needed, so we can understand the golden question: what works for whom and when? And to answer these questions we need far more detailed analysis. Oh – and evidence-based healthcare has always been a synthesis of THREE elements – research yes, clinician’s experience AND the person’s preferences and values. ALL THREE not just ‘research’ and out of research, not just RCTs.

Lowie, W. M., & Verspoor, M. H. (2019). Individual Differences and the Ergodicity Problem. Language Learning, 69, 184-206. https://doi.org/10.1111/lang.12324

Tarko, V. (2005, December 29). What is ergodicity? Individual behavior and ensembles. Softpedia News. Retrieved from https://news.softpedia.com/news/ What-is-ergodicity-15686.shtml

“N-of-1” research – A clinically relevant research strategy!


I’ve been banging on about single case experimental research designs (SCED) ever since I studied with Prof Neville Blampied at University of Canterbury. Prof Blampied (now retired) was enthusiastic about this approach because it allows clinicians to scientifically test whether an intervention has an effect in an individual – but he took it further with a very cool graphical analysis that allows multiple cases to be studied and plotted using the modified Brinley Plot (Blampied, 2017), and I’ll be discussing it later in this series. Suffice to say, I love this approach to research because it allows clinicians to study what happens especially when the group of participants might be quite unique so RCTs can’t readily be conducted. For example, people living with CRPS!

Krasny-Pacini & Evans (2018) make the case that SCED are useful when:

1. Evaluating the efficacy of a current intervention for one particular patient in daily clinical practice to provide the best treatment based on evidence rather than clinical impressions;
2. Conducting research in a clinical rehabilitation setting (outside a research team) with a single or few patients;
3. Piloting a novel intervention, or application/modification of a known intervention to an atypical case or other condition/type of patients that the intervention was originally designed for;
4. Investigating which part of an intervention package is effective;

5. working with rare conditions or unusual target of intervention, for which there would never be enough patients for a group study;

6. Impossibility to obtain a homogenous sample of patients for a group study;
7. Time limitation (e.g. a study needing to be completed within 8 months, e.g. for a master degree research. . .) or limited funding not allowing recruitment of a group.

So let’s think of how we might go about doing a single case experiment in the clinic.

First step, we need to think hard about what we want to measure. It’s not likely you’ll find an already-developed measure that is tailored to both the person and the treatment you want to use. There are key characteristics for this measure that you’ll need to consider (these come from the SCRIBE guidelines – see Tate, et al., 2016). You’ll want to look for target behaviours “relevant to the behaviour in question and that best match the intervention as well as accurate in their measurement”; “specific, observable and replicable”; “inter-observe agreement on the target behaviour is needed”.

You’ll also want to think of the burden on the person completing the measures, because mostly these will be carried out intensively over a day/week or even a therapy session.

Some examples, drawn from the Krasny-Pacini & Evans (2018) paper include:

  • the number of steps a person does in a day
  • time it takes to get dressed
  • VAS for pain
  • self-rated confidence and satisfaction with an activity
  • Goal attainment scale (patient-specific goals rated on a scale between -2 and +2) – this link takes you to a manual for using GAS [click]
  • the time a person heads to bed, and the time they wake up and get out of bed

You can choose when to do the measurements, but because one of our aims is to generalise the learning, I think it’s useful to ask the person to complete these daily.

You’ll also need to include a control measure – these are measures that aren’t expected to change as a result of your therapy but are affected by the problem and help to demonstrate that progress is about the therapy and not just natural progression or regression to the mean, or attention etc. For example, if you’re looking at helping someone develop a regular bedtime and wakeup time, you might want to measure the time they have breakfast, or the number of steps they do in a day.

Generalisation measures are really important in rehabilitation because, after all, we hope that what we do in our therapy will have an effect on daily life outside of therapy! These measures should assess the intervention’s effect on ‘untrained’ tasks, for example we could measure self-rated confidence and satisfaction on driving or walking if we’ve been focusing on activity management (pacing). We’d hope that by using pacing and planning, the person would feel more confident to drive places because they have more energy and less pain. It’s not as necessary to take generalisation measures as often as the target behaviour, but that can be an option, alternatively you could measure pre and post – and of course, follow-up.

Procedural data are measures that show when a person implements the intervention, and these show the relationship between the intervention and the target we hope to influence. So, if we’ve used something like a mindfulness exercise before bed, we hope the intevention might reduce worry and the person will wake feeling refreshed, so we’d monitor (a) that they’ve done the mindfulness that night; (b) that they feel less worried in the morning; and (c) that they wake feeling refreshed. All of these can be measured using a simple yes/no (for the mindfulness), and a 0 – 10 numeric rating scale with appropriate anchors (for less worry, and feeling refreshed).

If you’re starting to think what you could measure – try one of these yourself! Start by deciding what you’d like to change, for example, feeling less worried. Decide on the intervention, for example using a mindfulness activity at night. Add in a measure of ‘feeling refreshed’. Keep a notepad by your bed and each night, record whether you did the mindfulness activity, then in the morning record your level of worry 0 = not at all worried, 10 = extremely worried; and record your feeling of refreshment 0 = not at all refreshed, 10 = incredibly refreshed.

If you want to, you can set up a Google Docs form, and graph your results for each day. At the end of each day you could include a note about how stressful your day has been as another measurement to add to the mix.

For patients, using text messaging is really helpful – if you have a clinic SMS service, you could use this to send the text messages to your client and they can text back. Many of the SMS services can automatically record a client’s response, and this makes it easy to monitor their progress (and yours if you want to try it out!).

There are some other designs you can use – and remember I mentioned you’d usually want to record a baseline where you don’t use the intervention. As a start, do this for at least a week/seven days, but you’re looking to establish any patterns so that when you do the intervention you can distinguish between random variations across a week and change that occurs in response to your therapy.

Have a go – and let me know how it works for you!

Blampied, N. M. (2017). Analyzing Therapeutic Change Using Modified Brinley Plots: History, Construction, and Interpretation. Behavior Therapy, 48(1), 115-127. https://doi.org/https://doi.org/10.1016/j.beth.2016.09.002

Krasny-Pacini, A., & Evans, J. (2018). Single-case experimental designs to assess intervention effectiveness in rehabilitation: A practical guide. Annals of Physical & Rehabilitation Medicine, 61(3), 164-179. https://doi.org/10.1016/j.rehab.2017.12.002

Tate, R. L., Perdices, M., Rosenkoetter, U., McDonald, S., Togher, L., Shadish, W., Horner, R., Kratochwill, T., Barlow, D. H., Kazdin, A., Sampson, M., Shamseer, L., & Vohra, S. (2016). The Single-Case Reporting Guideline In BEhavioural Interventions (SCRIBE) 2016: Explanation and elaboration. Archives of Scientific Psychology, 4(1), 10-31. https://doi.org/10.1037/arc0000027

Persistent pain and movement practices


Here I go, stepping into “the bio” to write about movement. Oh dear, what am I doing?

Movement practices of various kinds are part and parcel of pain management. In fact, to read some of the material in social media-land, exercise is the be-all and end-all of pain management, maybe with a dash of psychology. Can we please stop doing this?

I’ve said it often, for many forms of persistent pain, especially the most common forms – nonspecific chronic low back pain, fibromyalgia, and osteoarthritic pain – movement is a good thing, but the effect sizes are small for both pain intensity and disability (eg Jayden, et al., 2021). I’ve reproduced the author’s conclusions below:

We found moderate‐certainty evidence that exercise is probably effective for treatment of chronic low back pain compared to no treatment, usual care or placebo for pain. The observed treatment effect for the exercise compared to no treatment, usual care or placebo comparisons is small for functional limitations, not meeting our threshold for minimal clinically important difference. We also found exercise to have improved pain (low‐certainty evidence) and functional limitations outcomes (moderate‐certainty evidence) compared to other conservative treatments; however, these effects were small and not clinically important when considering all comparisons together. Subgroup analysis suggested that exercise treatment is probably more effective than advice or education alone, or electrotherapy, but with no differences observed for manual therapy treatments.

So for chronic low back pain, short-term pain intensity reduction is clinically significant, but neither functional limitations nor pain intensity reductions over the long-term reached clinical significance. Ouch! This means that we must not oversell the usefulness of exercise as a panacea for chronic pain.

Some missing bits in this meta-analysis: how many people carried on doing their exercise programmes? Why did they keep on going if they didn’t experience reduced pain or better function? How many people dropped out from follow-up?

But my biggest question is “Why does increased physical fitness and reduced pain not translate into better function in daily life?” And of course, my next question is “What might improve the daily life outcomes for people with pain?”

I might also ask why there is so much emphasis on exercise as an approach for chronic pain? Why oh why? One reason could be the assumptions made about the reasons people have trouble with daily life activities. A reasonable assumption might be that people are unfit. Another might be that people don’t have confidence to move. But if these assumptions were true, we’d see better results than this. Perhaps we need to be much more sophisticated and begin to explore what really does impact a person’s daily life activities? My plea therefore is that we cease doing RCTs comparing exercises of various forms to placebo, no treatment or usual care. Please. We know movement is a good thing, and with the enormous number of studies carried out, surely we can stop now?!*

Here are some clinical reasoning pointers when employing movement practices. I’m being agnostic with respect to what form of movement practice [insert your favourite here].

  • Find out what the person enjoys doing for movement/exercise. Aim to do this, or build towards doing this. Start low and build up intensity, load and frequency.
  • Find out why the person has stopped doing their movement/exercise practice. If pain has stopped them, be curious about what they think is going on, what they think the pain means, what happens if they experience pain doing their favourite movement practice, and find out how long and how much they’ve done before pain stops them. Then address unhelpful beliefs, re-set the starting point and progress in a gentle graded way.
  • If the person hasn’t ever been a movement/exercise person, be curious about why. Explore this in detail – beliefs about movement, movement practices they’ve tried, time available, cost, all the things that might get in the way of doing a movement practice. You might find it was a high school physical ed. practice that totally put them off – but look beyond “exercise” or “sports” and remember that movement includes walking, dancing, gardening, playing with the dog, fishing, kayaking….

When you’re starting to generate a movement practice programme, for goodness sake ask the person when they’re going to find time to do it, and don’t make it too long! Explore when might be the most convenient time, and what might make it easy to do. Use low cost, low-tech practices. Find out what might get in the way of doing the movement practice, and do some problem-solving – anticipate what goes through a person’s mind and together, come up with counter-arguments or better, think of some really important values that might underpin the reason to do what is undoubtedly difficult for this person in their life.

Think about life-long habits and routines. How might this person explore options that could fit into their life as they get older? What might they do if the weather is bad, or they have an addition to the family? How many different movement practices can you and the person think of? And remember, if it’s OK for a person at a gym to do “leg day” one day, and “arm day” another, it’s perfectly fine for someone to do gardening one day, and go for a walk up the hill the next. Don’t be boring! Invite exploration and variety.

Work on translating the movement practices you and the person do in clinic into the daily life movements the person is having trouble doing. This might mean asking the person about their daily life and what’s most difficult for them to do right now. If it’s bending to load/unload the dishwasher, ask them what’s going on, what comes up for them when they do this? Is the problem about physical capability – or is it because it’s at the end of a long day at work, they’re tired and haven’t been sleeping and they’re worrying about how the pain in their back is going to affect their sleep tonight? If it’s the latter – guess what, physical exercise isn’t going to change this! So talk about what they can do to help with their sleep, or if that’s not your forte, talk to another team member (occupational therapist, psychologist) about what might help.

Note that as clinicians, we have no right to dictate what a person’s life looks like. This means we can’t judge a person for their choice of movement practice. We also can’t dictate how often or how intense their “workout” should be. It’s going to vary, depending on all the things this person in front of you values most. And we must respect this – don’t be judgemental, their values may be very different from yours, and this is perfectly OK. Just help them explore the good – and not so good – of their choices.

Finally, don’t be afraid to have fun with movement! Play a little. If disc golf is the person’s thing – go try it out! If jive dance is their thing, maybe it’s time you gave that a go. If they like hiking to a quiet spot to do a little bird photography, go with them and carry your own camera gear. If their life is so busy that movement practice gets squeezed out, work with them to find ways to get movement snacks into their day. Don’t be boring. And worry a little less about “prescribing” movement, and much more about experiencing your body as a living sensory being – get in the moment and enjoy what your body is able to do. That is really what we’re encouraging in movement practices for chronic pain.

*A couple of other guesses for why exercise gets seen as The Best Thing – it’s “cheap” in comparison with other options, people can do it reasonably easily after therapy, there are LOTS of physiotherapists and others who offer this, it appeals to our “simple” (but wrong) beliefs about pain, psychological approaches are more expensive (though don’t offer better outcomes), daily life occupational therapy approaches are really hard to conduct as RCTs….

Hayden JA, Ellis J, Ogilvie R, Malmivaara A, van Tulder MW. Exercise therapy for chronic low back pain. Cochrane Database of Systematic Reviews 2021, Issue 9. Art. No.: CD009790. DOI: 10.1002/14651858.CD009790.pub2. Accessed 18 December 2022.

The joy of having many data points


Researchers and clinicians are drawn to studies with many participants. Especially randomised controlled trials, where two groups are randomly divided and one gets “the real thing” while the other does not. The joy comes from knowing that results from these kinds of studies suggest that, all things being equal, the differences between the groups is “real” and not just by chance.

When we come to analyse the graphs from these kinds of studies, what we hope to see are two nice bell-shaped curves, with distinct peaks (the arithmetic mean) and long tails either side – and a clear separation between the mean of one group (the experimental one) and the control group.

It should look a bit like this:

Now one of the problems in doing research is that we can’t always guarantee a large sample – for example, it’s difficult to find enough people with a relatively rare problem like complex regional pain syndrome to randomly split the groups to iron out major differences between them. And, this kind of research design presumes the principle of ergodicity – here for more information from Wikipedia, or here for a more detailed examination relating to generalising from groups to individuals.

This research design also struggles to deal with distributions that don’t conform to the lovely bell curve – things like bimodal distributions, or skewed distributions. And if we draw only on the mean – we don’t get to see these delightful peaks and troughs – or the people at either end of the curves.

The more variables we add to analysis, the more complex the statistics needed – so in the case of pain research, we often have to simplify the research question, do complex maths to “normalise” the results, and ultimately we get research that doesn’t look the slightest bit like the people we see in clinical practice. No wonder we get results that don’t look nearly as nice as the research studies!

Now I don’t mind statistics at all, but I do mind research papers that don’t declare the assumptions made when using analyses. Many papers assume the reader knows these assumptions – unlike qualitative research where the authors philosophical assumptions are openly stated, and where epistemology and ontology are considered part of the research design.

So why might lots of data points be cool?

Most of us working in a clinic will be seeing an individual. One person, with all their unique history, attributes, vulnerabilities, preferences and values. When we extrapolate the findings from RCTs especially, and apply them to this unique person, we risk failing to acknowledge that we’re violating the principle of ergodicity, and that our person may be one of those falling at the tails of that bell curve: or worse, in the middle of a bimodal distribution. Given that most pain problems, particularly persistent pain, are multifactorial, applying a single “solution” no matter how many studies showing a positive effect there are, may not cut it.

For years I’ve been pointing out the value, both in research and in clinical practice, of single case experimental designs. There are loads of reasons for using this approach, and it’s a method with a long history. Essentially, the person serves as their own control, they take lots of measurements before introducing a treatment, the treatment is applied and changes in the measurements are closely monitored. If there’s a change in the expected direction, we can test whether it was the treatment by withdrawing said treatment, and closely monitoring any changes in the measurements. Of course, there are challenges to using this approach – we have to be able to withdraw the treatment, and that doesn’t work if it’s something like “information”. But there are ways around this – and the method of intensive longitudinal repeated measures is becoming a rich source of information about change processes.

Change processes are changes that mediate the final outcome. In other words, when we do a treatment, either the treatment directly causes the end outcome – eg give someone a raised toilet seat, and they can get off the toilet because the toilet is at a good height for them – or via some other process – eg by giving the raised toilet seat, the person gains confidence to get on and off the toilet so it’s not the toilet seat per se, but enhanced confidence that mediates the outcome.

Change processes matter because once we’ve identified them, we can develop ways to work with them more effectively. We can also measure the progress a person makes on more than one change process, and refine what we do in our treatments in response. The more data points we collect from that one person, the more we can track their trajectory – and the better we can understand what’s going on in their world to influence their responses.

Technology for repeated measures in real time has become much smarter and more invisible than it used to be. We can still employ some of the simpler techniques – a pen and paper diary still has used! But we then have to rely on the person remembering to fill them in. Passive data collection using wearable technology is something many of us use to track fitness, diet, sleep, travel, heart rate variability and so on. Set the parameters, and as long as you’re wearing the gadget, your data is captured.

Before anyone leaps in to tell me the gadgets are prone to measurement error, believe me I know! For example, monitoring sleep using a phone (or even a smartwatch) doesn’t monitor sleep depth, it monitors movement (and records snoring LOL). However – and this is important – it is more likely to get used than anything requiring me to do something extra in my day. And we can integrate both passive data collection and active data collection using similar technologies. For example, it’s not difficult to send an SMS (instant text message) at random times during the day to ask someone a brief and simple question.

Where these repeated measures approaches get a bit gnarly is in analysing the data – but even this doesn’t mean it can’t be done. The analyses require a good understanding of what it is being measured (and why), and how best to use complex statistical analyses to understand how one factor (variable) might influence another.

The advantages of using intensive measures in clinic lie with understanding how, for example, one day of additional activity (measured using the step counter combined with GPS tracking) might directly influence mood the next day (or pain, or energy levels or whatever). We still need to apply critical thinking to uncover the causal mechanisms (is it plausible for factor X to directly cause a change in factor Y?) and to check whether the results are stable over time (or just a chance fluctuation). Another advantage is that we can quickly step in to experiment with an intervention – and watch what happens. For example, if we think being very active on one day has an effect on mood the following day, we can test this out: try experimenting with a day of lots of activity, and monitor what happens the next day, or the converse, do very little and monitor what happens with mood the following day. Rinse and repeat until we’re certain that for this person, activity level has an effect on mood.

And the study that made me think about all this? It’s this one by Whibley, Williams, Clauw, Sliwinski and Kratz (2022) – click

If we want to really develop excellent clinically-relevant research-based ways to understand what might be going on for the one person in front of us, and not for the large mixed group of people included in a randomised controlled trial, we could be inspired to look at intensive repeated “micro-longitudinal” research strategies as models for clinic-based research.

Whibley, D., Williams, D. A., Clauw, D. J., Sliwinski, M. J., & Kratz, A. L. (2022). Within-day rhythms of pain and cognitive function in people with and without fibromyalgia: synchronous or syncopated? Pain, 163(3), 474-482. https://doi.org/10.1097/j.pain.0000000000002370