Remaining connected: The pragmatic physiotherapist.

Clinical decision-making; we all do it every day. Researchers have tried to define it across and within professions, mentors try to instil it and students grapple with it. Our profession has tried to make it less challenging; sub-grouping, clinical prediction, stratification are just a few of the algorithmic processes designed to make clinical life a little bit easier and safer.

Experience and knowledge, meta-cognition, synthesis, hypothesis testing, recognising patterns, narrative and collaborative processes are just a few examples of the theoretical models that are also designed to help explain our thinking, but often just leave us more confused.

Then of course we remember we are dealing with a patient who has thoughts, feelings, considerations and beliefs that we have to interpret. Algorithms don’t really deal with this very well.  Combine this with our own clinician “yellow-flags”(1), and how these affects our thoughts and behaviour and the subsequent decision, and we have a heady mix of psychological, behavioural, biological and cognitive challenges to deal with.

Trying to formalise this has led to counter suggestions that N=1 and so many of these “groups”, “patterns” and presentations should be individualised and so suggesting we must maintain a bespoke treatment package for patients. I have read that some will then challenge this as they believe this gives therapists the cart Blanche to then do just as the patient wants and they must remain within the evidence base irrespective of what may have worked before. All very reasonable arguments and dependent on your standpoint something to consider when looking ahead at the challenges our profession has in the battle to ensure we remain grounded, ethical, scientific and caring.

Evidence led Patient led

I have found these discussions fascinating as with many interactions they can lead to an end of the spectrum debate, opposites being forceful in their views and perhaps the complexity of the clinical decision is the key reason why this provides so much interest. It also sparks debate as it addresses many of our own ethical challenges in treatments to offer and the professionalism behind that call.

The clinical diagnosis in the past has housed numerous methods, words, meanings. Pathological models, tissue-based approaches, neuro-biological, behavioural and cognitive designs are some of the models we choose to summarise our findings. I would propose that the diagnosis has a number of requirements to give it clinical validity. It should be made clear, it should inform the management plan; it should be transferable within the profession and across professions and it should cover the barriers to recovery. So, in essence it could describe the symptoms, it can cover why the condition may not be recovering and what the barriers are and also the particular needs of the patient.  So we have processes and pathways and clinical reasoning within the spectrum. Algorithms/ process therefore can be described as thinking that is somewhat convergent (narrowing to one answer), whilst the clinician with reasoning is possibly more divergent (able to offer multiple perspectives/solutions).

Divergent convergent thinking

So, our divergent thinker still needs to follow a reasoning approach that will lead to a diagnosis and the multiple factors need to be translated into an end-point that makes sense and is transferable. The initial part of the process starts with a diagnosis of exclusion, no red flags, no signs of a major pathology are assumed and so there is specificity to this and so easily defined. This thinking approach then broadens into whatever model the clinician then follows, and the practitioner describes the area of symptom, barrier (s) to recovery, and then potentially how they link. For example in low back pain, see below;

NL factors 1

In this small limited model observations are made, based on the limitations noted, treatment choices are considered, they then should be contextualised within their evidence base, and then it is down to the clinical acumen to make it relevant for the individual. So, this is not about N=1 versus evidence based medicine, it is about the use of clinical acumen and pragmatic decision-making, in essence the clinician would be unwise and unethical to choose a treatment that is not;

  1. Based on the physical/cognitive/behavioural limitations to recovery.
  2. Based on what the evidence in the literature supports.
  3. Based on the clinical agreement of the clinician and patient as collaboration.
  4. Based on a bespoke package for that particular patient (not their condition)

This is not the clinician forcing their views, nor the patient demanding their needs. This is about the best use of the available evidence along the spectrum.  The picture below highlights that acumen and skill are about taking the evidence and placing it along the spectrum of reasoning and ensuring a broad method of enquiry is applied.

NL Context

Placing ourselves at one end of a spectrum of reasoning lowers clinical flexibility and reflexivity, such as;

  1. We only do what we have always done.
  2. We rigidly follow our interpretation of scientific evidence.
  3. We only do what the patient wants.
  4. We just follow algorithms.

The interpretation and acumen therefore will be shrouded in the rhetoric of those that that continue to hold views that stop them moving around a spectrum of reasoning – the counter to this is the pragmatic physiotherapist who has the innate ability to consider all evidence sensibly and contextualise it clearly.

So, my thinking for what it is worth is that maintaining a critical view of the evidence and subsequently applying it is not in conflict with providing a bespoke, person-centred plan. It is inherently combined, and allows for the clinician to translate all available evidence into a diagnosis that quite rightly is contextualised, pragmatic, evidence based and individualised and to this end, that’s probably the best we can do for now.

Neil Langridge.  Consultant Physiotherapist.

 

The Pragmatic Therapist: 

Clinical Decision Making from Multi-factorialism to Dispositionalism

In Neil’s commentary above, he keenly evaluates the clinical decision making from gathering evidence from a wider perspective and applies it to the particular case.  He also delves into the clinical acumen required for sense-making for both the therapist and the patient.  I would like to discuss multi-factorial reasoning and move towards thinking about dispositions.  In writing my paper the most difficult task was conveying the difference between a multifactorial causal approach and a dispositional causal approach

There is a growing sense of recognising the multi-dimensional nature of clinical encounters where the utility of a whole person approach far surpasses unidimensional approaches (O’Sullivan et al, 2016).  A significant challenge to a whole person approach, despite it being grounded in common sense and resulting in improved clinical outcomes, is that when seeing a person who presents with a clinical problem, once all the evidence is gathered, by whatever means, how do we make sense of it and what do we do about it?  One way to develop a multi-factorial model of explanation, quite simply, is to consider a number of categories and start to fill in these areas with data.  An example might be using a biopsychosocial approach, whereby biomedical, psychological and social profiles are developed with the information gathered by the history and physical examination.  Each of these areas aim to move away from biomedical reductionism (Engel, 1977) but in its place lies biomedical, psychological and social reductionism.  But we have to start somewhere, do we not?

Jones, Edwards and Gifford (2002) present a classic paper applying the biopsychosocial theory to clinical practice.  They refer to Gifford’s mature organism model and to Jones’ hypothesis categories, as well as to the interpretive and insightful understanding of Edwards, to provide a great person centred approach.  This culminates in an excellent reasoning model providing epistemic (knowledge based) and therapeutic value.  The paper pays attention to both the empirico/analytical approach, such as the generation of hypothesis categories, and also to an interpretive methodology such as the way in which the categories relate to each other.

Using a multi-factorial method certainly has its advantages and appears to embrace a holistic approach.  By that I mean, identifying all the potential factors that are present to the complaint and addressing them, in turn or together, to create a critical change in the condition resulting in a positive or desirable effect (figure 1).  However, how many times do we think we have addressed this and yet no change has happened?  How disappointed are the people in our care when they have worked hard with the management plan with no change?  We might have thought that the causal mechanisms of the disorder would have been ameliorated, according to the model we agree with and find most compelling!

ML Multifactorial

Figure 1: An example of using a multi-factorial treatment and management approach

Van Ravenzwaaij et al (2010) described a number of explanatory models from the literature that may shed light on symptoms that we have no clear explanation for.  These include physical explanations (immune system sensitisation theory, endocrine dysregulation theory, autonomic nervous system dysfunction theory and abnormal proprioception theory), psychological explanations (somatosensory amplification theory, sensitivity theory) and hybrid explanations (sensitisation theory, signal filter theory and an illness behaviour model).   Surely, by using a multi-factorial model it would not matter what causal mechanism(s) could explain the condition, treatment or the management.  But by addressing all the identifiable factors would have had some effect on at least some of those proposed theories….surely!

Perhaps we should examine the underlying metaphysical theory (ontological) explanation as it might be more favourable to consider that certain powers may interrupt, counteract or simply overpower (overdispose) others so that no effect takes place.  Erikson et al (2013)in their perceptive paper examine beneath the surface of the complexity that we face every day and is certainly worth a read (maybe a few!).  This dispositional perspective examines the causal components at a deeper level.  Please consider this paragraph:

To move from monocausality to multifactorial causation does not in itself guarantee that we take the complexity seriously. If our methods are designed to treat each factor separately, the phenomenon as a whole is lost even if we include many factors and add them up. Complexity is a core idea of dispositionalism, and this is particularly clear in causation. All actual effects will be multifactorial. The flammability of a match is not alone sufficient for it to light when struck. It will also require the presence of oxygen and reasonably arid conditions. Given that all such factors contribute, and all such may be hypersensitive in relation to what they manifest, then the medical uniqueness of each patient starts to look a credible possibility. Understanding causal interaction is not only about taking into account all the factors involved and how they compose. It is also a question of magnitude or degree. On dispositionalism causes and effects come in degrees. They are not a matter of “all or nothing”.

Multi-factorial thinking is not enough!  In my paper, I attempt to describe how a dispositional approach might be a step forwards with the use of the vector model (figure 2).  The vector model describes how causation may work and be a significant contributor to clinical reasoning.  Further work in progress!

ML Vector model

Figure 2: The Vector Model (Anjum and Mumford – Getting Causes From Powers)

One of the key advantages of a dispositional approach verses a multi-factorial approach is the attention to context sensitivity and non-linearity.  For example, exercise has been shown to be beneficial for chronic musculoskeletal conditions, including exercising into pain compared to pain free exercises, certainly in the short term.  However, the adherence and compliance of exercising into pain may be a barrier to the treatment effect.  This is demonstrated, to an extent, by the relatively high attrition rates identified within studies and also the exclusion of widespread pain disorders such as fibromyalgia.  A multi-factorial approach will use exercise as a treatment but the context of when and how it is applied may not be taken into account, including the potential for exercise to have a deleterious effect.   The presence of causal factors that dispose an individual towards having reduced descending noxious inhibitory control mechanisms (e.g. poor sleep, chronic stress, anxiety and depression) have variable outcomes to exercise including making symptoms worse therefore reducing adherence to an evidence based treatment.  A dispositional account recognises the individual context and may focus treatment towards the factors that are reducing the inhibitory control mechanisms prior to exercise prescription.  Later, a graded exercise programme may be more successful, both in terms of adherence and treatment effect.  This is just one example of a well-intended treatment modality resulting in a non-desirable or negative outcome using a multifactorial approach.  Emergent phenomena, such as the manifestation of persistent pain, do not follow linear paths bereft of context and a dispositional approach may prove fruitful.

If you have the time, please have a read of the papers and give some comments below.

Matthew Low.  Consultant Physiotherapist.

 

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