Complexity in Medicine

What is “Complexity”?

We all have a lay understanding of complexity – the word describes a system or object that has many parts, the workings of which may be difficult to understand. But many systems that appear complex are merely “complicated” – their many components are well described and understood, at least by someone. A Smartphone is such a system. A system that is “complex” is one that is comprised of many interacting components or systems which behave and affect each other in unpredictable ways. In our world there are many such systems such the weather, the economy, and large software projects as discussed in previous posts. We use mathematics to describe, analyse and design many of the objects and systems in use in our world today. But “Complex” systems are nonlinear and unpredictable – they are not easily amenable to mathematical analysis. (See my article on Complexity and Software design)

Another approach to Complexity is to consider that systems , clinical issues, or even patients can be regarded as an interconnected web with components that affect each other.

““Everything hangs together” defines complexity; the Latin word complexus literally means interwoven—studying complex problems thus is the study of interconnectedness and interdependence.

This notion is reflected in the definition of a complex (adaptive) system: A complex (adaptive) system is “a whole consisting of two or more parts (a) each of which can affect the performance or properties of the whole, (b) none of which can have an independent effect on the whole, and (c) no subgroup of which can have an independent effect on the whole.””(ref)

Most current protocols and research are based on a convergent, “reductionist” approach to diagnosis and treatment. Indeed much of of our Clinical Reasoning uses such a process. While this approach may help to “solve” a particular clinical presentation or issue, it often does not describe or capture the essential elements of the whole patient. As Primary Care Practitioners, we all are familiar with the patient with multiple issues whose condition does not improve in spite of our best efforts over time. A complex system is at the root of most “wicked” problems – could Complex System thinking improve our management of these clients?

In recent years there has been increasing interest in studying complexity in Health and developing some techniques for approaching these problems.

The Principles of dealing with “Complex” problems

“Start with Awareness”

If we recognize that a problem is Complex as defined above, we can then adopt a different approach. The first revelation is to accept that we may not be able to “solve” the problem but there may be elements that we can change.

Elucidate relevant issues and their connections

To understand the problem we must map out and model relevant issues and how they affect each other. There may be feedback “loops” – changing one issue will affect another which in turn will affect the first issue.

In most “wicked” problems there are multiple layers of issues which can be arranged in a hierarchy. Some are in our immediate sphere of influence, some are “high level” issues over which we can have no effect. Many of these issues are “wicked” problems in themselves. Of course, this map will always be approximate and imperfect, but it is a useful exercise to improve our understanding and document the problem.

Identify issues or connections that may be amenable to intervention

Evolutionary rather than revolutionary change

In the study of large “complex” IT systems, Bar Yam (ref) advocated incremental change in different areas of the system over time rather than a “Big Bang” revolutionary change. This principle can be applied to all Complex problems, even down to managing individual patients in Primary Care

Ongoing review, testing and adjustment of our interventions

Of course this requires continuity. This may be achieved by an individual relationship or by a well structured means of communication between members of a team.

Applying these principles to “Wicked” problems

The Primary HealthCare System as a Whole

At the recent WONCA conference in Sydney one of the Keynote speakers (Prof Trish Greenhalgh) described Primary Health as a “Sector Suffering”.

Could we apply Complex System thinking to this “wicked” problem?

To start to understand the issues, she outlined three broad areas where the Primary Health sector is suffering using the Buddhist “Three Poisons” as an analogy – Greed, Hatred/anger and ignorance/delusion.

Greed as epitomized by the pig describes the “Commercialization of Health” which now dominates and corrupts policy, research and indeed the evidence on which our practice is based. In my view, this is an “Elephant in the Room” which we should acknowledge and start to address.

Anger/hatred is epitomized by the snake. Many in the sector are burnt out and disillusioned, politics is combative and paralysed by vested interests. Anger can be negative and destructive, but it can also be harnessed to create positive change.

The Rooster epitomizes ignorance and delusion. Those managing the sector such as bureaucrats and politicians are either ignorant or choose to ignore the advice from those working in the sector. In the workplace of organizations we should build a positive team culture with active communication between all members

Clearly this analysis is only the start of deconstructing the issues, but it gives a framework to work from. There are many layers of issues and interconnections, some of which may be amenable to evolutionary change.

Complex system thinking on a population level – eg “Obesity”

The developed world is getting fatter and this issue underlies many Chronic Diseases. Obesity appears to be a “wicked” intractable problem at both population and individual levels.

At another session of the WONCA conference, the participants were invited to describe the population problem of obesity using the principles of complex system analysis. It soon became clear that there are many layers to the problem with many interconnected issues. Currently our approach is to exhort the patient to “eat less” and “exercise more”. But from even a cursory analysis it becomes clear that it is simplistic to rely on the individual to remedy the issue – this alone is a useful conclusion.

The individual patient encounter

Is this approach applicable at an individual patient/consult level? Are patient encounters “Complex”?

In Medical School we were trained to recognize and manage the patterns of single issue illness. Most of our education since has been also on individual conditions and medications with little emphasis on managing the whole patient. Yet much of Primary Care Medicine now is involved with managing Multimorbidity (see my previous article). In addition to the multiple medical issues and client factors such as language, there are social and family pressures, and resource and financial limitations imposed by payors. In my view these encounters are indeed “complex”.

Managing individual multimorbid clients using the principles of complex thinking outlined above would mean:

Identifying the issues and the connections between them, particularly those that are amenable to intervention and that positively affect others. eg Weight loss improving Diabetes and Hypertension. General Practitioners have been doing this intuitively for a long time using the Problem Oriented Medical Record is a mechanism. A good record can overcome many of the problems associated with lack of continuity. But Electronic Medical Records suffer from poor interface design, administrative “noise” cluttering the record and imperfect utilization. (see Software Design in Health )

Recognizing that there is no single discrete solution to the patient’s problems.

Aiming for evolutionary change

Testing our interventions over time. Here we must recognize the value of continuity and a professional relationship.

If we accept that the management of an individual multimorbid patient is a “Complex” problem, then prediction of their progress and the interventions required becomes difficult or impossible, particularly in the long term. Our current systems of Chronic Disease management rely on “Careplans” of scheduled interventions, often years ahead, by relatively unskilled and often “anonymous” practitioners. This approach is especially prevalent in Australia in settings where there is high staff turnover and/or a disadvantaged population, such as Remote Health, Corrections, or Refugee Health. These clients have a high burden of Chronic Disease and Multimorbidity.

If we were to adopt a “Complex Systems Thinking” approach, it is likely in my view that their care could be improved.

References

Approaching Complexity – start with awareness

Joachim P. Sturmberg MBBS, DORACOG, FRACGP, MFM, PhD

https://onlinelibrary.wiley.com/doi/10.1111/jep.13355

Josephine Borghi, Sharif Ismail, James Hollway, Rakhyun E. Kim, Joachim Sturmberg, Garrett Brown, Reinhard Mechler, Heinrich Volmink, Neil Spicer, Zaid Chalabi, Rachel Cassidy, Jeff Johnson, Anna Foss, Augustina Koduah, Christa Searle, Nadejda Komendantova, Agnes Semwanga, Suerie Moon, Viewing the global health system as a complex adaptive system – implications for research and practice, F1000Research, 10.12688/f1000research.126201.1, 11, (1147), (2022).

Multimorbidity – the New Epidemic

Multimorbidity is a relatively new word in the clinical lexicon – what is it?

It is commonly defined as the presence of two or more chronic medical conditions in an individual. It can present challenges in care particularly with higher numbers of coexisting conditions and related polypharmacy.

These conditions may include recognized Chronic Disease problems such as Diabetes, Heart disease, Chronic Airways Disease and Osteoarthritis, but also

Mental Health problems

•ongoing conditions such as learning disability

•symptom complexes such as frailty or chronic pain

•sensory impairment such as sight or hearing loss

•alcohol and substance misuse.

How common is it?

A 2008–2009 BEACH sub-study that measured the prevalence of multiple chronic condition at GP consultations found that of the 8707 patients sampled from 290 GPs, approximately half (47.4%, 95% CI: 45.2–49.6) had two or more chronic conditions. Figure 1 shows that the proportion of patients with multiple chronic conditions at encounters rises significantly with age; about 90% of patients aged 80 years or more had two or more chronic conditions, while nearly 30% had seven or more. (Ref 1)

Figure 1. Proportion of patients with different numbers of multiple chronic conditions at GP encounters by patient age

This suggests that we should reconsider our current health care system’s focus on single diseases.

“The Single Condition Model” in medicine

Most research is designed to show the effect of interventions in single conditions. Those with multiple conditions are excluded to avoid confounding the data. Guidelines are designed in general to guide management in single conditions. But if we follow these guidelines in multimorbid clients and sum all the interventions together, we end up with a significant “treatment burden”.

As an example – consider the following situation:

Mrs F• 79 years old with multiple conditions including:

• osteoporosis

• osteoarthritis

• diabetes type II

• COPD

• hypertension

If evidence based “Best Practice” treatment were followed, she would require:

• 12 different drugs in 19 dosages at five points in a day

• 14 different non-pharmacological interventions (rest,exercise, shoes, avoid exposure to allergens)

• nutrition: reduce intake of salt, potassium, cholesterol, Magnesium, Calcium, calories, alcohol

at least 5 doctor visits per year.

These multiple interventions are complex, difficult for both client and providers to deliver, are expensive and carry the risk of interactions which may cause harm.

Due to the “single condition” model of most research, we have little or no evidence that the interventions will be beneficial in this specific situation.

Multimorbidity and Clinical Reasoning

The study of Clinical Reasoning attempts to analyse the thought processes of a clinician when dealing with clinical problems. The “single issue” presentation is well studied – the potential traps and cognitive biases are well understood. One Clinical Reasoning framework was described by Murtagh (Ref 2 ). But the research quoted above would suggest that a single issue “diagnostic” presentation is increasingly uncommon. Many presentations involve managing multiple known problems and balancing priorities. This appears to be a “higher order” task – it has been generally left to sophisticated clinicians. The General Practitioner is uniquely qualified for this role. A broad medical knowledge and a long term relationship with the client combined with the relevant legal authority makes him/her an “Expert Generalist”.

But there appears to be little relevant research – the GP is making these decisions intuitively. Should we develop a formal model of Clinical Reasoning in this space?

The Rise of Machine Driven Care

In recent years there has been a view among many that treating long term conditions such as Hypertension, Diabetes and raised Cholesterol “to target” results in reduced Cardiovascular risk.

If a programme of interventions such as measuring blood pressure, testing blood sugar and measuring weight is delivered on a regular basis outcomes are improved. But there is “Therapeutic Inertia” which must be overcome – the measurements must be “treated to target” regardless of side effects or other reasons for not doing so. Doctors in particular have been regarded as being responsible for “Therapeutic Inertia”.

This idea is attractive because it can be delivered by less sophisticated clinicians. Careplans are devised with schedules of interventions – if they are followed there will be less emergency attendances. There is reasonably good evidence for this approach. (Ref 3)

But what about the Multimorbid clients? Can we devise Careplans to suit them? If we sum together all the interventions suggested by “Best Practice”, we create a complex matrix which in practice often is not delivered. Whats more, every client seems to have a different combination of Chronic Problems – it is impossible to devise “off the shelf” careplans to fit all. The electronic record systems that create these Careplans are not sophisticated enough to allow easy editing or to devise individualized Careplans.

Again it falls to the “Expert Generalist” GP to rationalize these complex plans and to reduce the medication and intervention burden that seems to build up like barnacles encrusting an old boat.

In my view we need to recognize the limitations of our “single issue” approach, develop electronic systems to manage multiple problems in a rational way and study the impacts of complexity and “noise” on safety and outcomes.

We should also develop models of Clinical Reasoning for this mode of practice.

References

  1. Australian Family Physician Volume 42, No.12, December 2013 Pages 845-845
  2. A Safe Diagnostic Model Ch 9 John Murtagh’s General Practice
  3. The cost-effectiveness of primary care for Indigenous Australians with diabetes living in remote Northern Territory communities Susan L Thomas, Yuejen Zhao, Steven L Guthridge and John Wakerman Med J Aust 2014; 200 (11): 658-662. || doi: 10.5694/mja13.11316