Clinical Reasoning in Veterinary Practice (eBook)

Problem Solved!

David B. Church, Jill E. Maddison, Holger A. Volk (Herausgeber)

eBook Download: EPUB

2022 | 2. Auflage
448 Seiten
Wiley (Verlag)
978-1-119-69821-0 (ISBN)

Infos

The new edition of this innovative textbook on clinical reasoning in veterinary medicine, provides a simple and logical approach for solving a wide range of clinical problems

Clinical Reasoning in Veterinary Practice: Problem Solved! 2^nd Edition continues to provide a revolutionary approach for rapidly and efficiently solving clinical problems encountered in veterinary medicine.

Featuring new problem-based clinical reasoning examples, the second edition expands its problem-based approach to cover new problems of the eye, of exotic pets, and in equine practice. Another new chapter describes the principles of professional reasoning and decision making. The text content and format is fully revised based on universal design principles and will make clinical reasoning simpler to understand for readers with different learning styles.

• Provides a logical approach to common clinical problems in small animal practice such as vomiting, diarrhoea, weight loss, weakness, gait abnormalities, bleeding and more
• Includes examples of common problems in exotic and equine practice and how to assess them using a problem-solving approach
• Offers the logical rationale for selecting diagnostic tests
• Features contributions by internationally recognised clinicians and educators in clinical and professional reasoning
• Helps veterinary practitioners clearly communicate their decision-making to animal owners
• Contains flowcharts and key step markers that illustrate the decision-making process

Clinical Reasoning in Veterinary Practice: Problem Solved! 2^nd Edition is the perfect textbook for undergraduate veterinary students and an invaluable resource for new graduates and experienced veterinary practitioners alike.

Jill E. Maddison, Professor of General Practice, Royal Veterinary College, UK. She contributes to the RVC's teaching program for veterinary students and veterinary nurses in the areas of small animal medicine, clinical reasoning, and clinical pharmacology as well as to national and international continuing education programmes.

David B. Church, Professor of Small Animal Studies, Royal Veterinary College, UK. He contributes to the RVC's teaching program for veterinary students and in the areas of clinical reasoning, small animal medicine in general and endocrinology as well as continuing education programmes around the world.

Holger A. Volk, Professor of Small Animal Diseases, University of Veterinary Medicine Hannover, Germany. He is a specialist in veterinary neurology and teaches clinical neurology and problem solving to undergraduates and graduates both nationally and internationally.

Textauszug

CHAPTER 2
Introduction to logical clinical problem‐solving

Jill E. Maddison1 and Holger A. Volk2

1 Department of Clinical Science and Services, The Royal Veterinary College, London, UK

2 Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany

The why

• The aim of this book is to assist you to develop a structured and pathophysiologically sound approach to the diagnosis of common clinical problems in small animal practice.
• The development of a sound basis for clinical problem‐solving provides you, a current or future veterinarian, with the foundation and scaffolding to allow you to potentially reach a diagnosis regardless of whether you have seen the disorder before.
• Furthermore, the method presented in this book will help you avoid being stuck trying to remember long differential lists and hence free your thinking skills to solve complex medical cases.
• The aim of the book is not to bombard you with details of different diseases – there are many excellent textbooks and other resources that can fulfil this need. What we want to provide you with is a framework by which you can solve clinical problems and place your veterinary knowledge into an appropriate problem‐solving context.

Introduction to clinical reasoning

We all remember our first driving lessons, which may have been quite challenging – for us and/or our instructors! We had to think actively about many factors to ensure we drove safely. The more experienced we became at driving, the more non‐driving‐associated tasks, such as talking to our passengers, listening to the radio and changing the radio channels, we were able to do while driving. If we had attempted any of these tasks at the beginning of our driver training, we might have had an accident. As we become more experienced at a task, we need to think less about it, as we move to what is known as unconscious competence (Figure 2.1).

Figure 2.1 Skill acquisition pathway. (This pathway can apply to the acquisition of any skill.)

We see a similar process in clinical education. During the progression from veterinary student to experienced clinician, knowledge and skills are initially learnt in a conscious and structured way. Veterinary undergraduate education in most universities is therefore based on systems teaching, discipline teaching, species teaching or a mixture of all three. These are excellent approaches to help develop a sound knowledge base and understanding of disease processes and treatments.

However, when an animal or group of animals becomes unwell, the clinical signs they exhibit can be caused by a number of disorders of a range of different body systems – the list may seem endless. They do not present to the veterinarian with labels on their heads stating the disease they have (more’s the pity!). Therefore, for veterinarians to fully access their knowledge bank about disorders and their treatment, they need to have a robust method of clinical reasoning they can rely on. This method allows them to consolidate and relate their knowledge to the clinical case and progress to a rational assessment of the likely differential diagnoses. This makes it easier to determine appropriate diagnostic and/or management options for the patient. Because you have a clear path, communication with the client becomes easier.

The next part of the journey to becoming an experienced clinician is that clinical judgement and decision‐making processes become unconscious or intuitive. The rapid, unconscious process of clinical decision‐making by experienced clinicians is referred to in medical literature as intuition or the ‘art’ of medicine. The conscious thinking process is often referred to as ‘science’ (evidence based) or analytic. Intuition is context‐sensitive, influenced by the level of the clinician’s experience, context‐dependent and has no obvious cause‐and‐effect logic. Why is this important? We have all thought ‘I just know that the animal has …’ The unconscious mind will pretend to the conscious mind that the clinical decision was based on logical assumptions or causal relationships. This is not a problem as long the intuition or ‘pattern recognition’ has resulted in a correct diagnosis. However, when it does not, we need to understand why it failed and have a system in place to rationally progress our clinical decision‐making.

This book will provide you with the tools and thinking framework needed to unravel any clinical riddle, unleashing the potential of your unconscious mind rather than blocking your working memory as you try to recall all of the facts you may have once known.

Why are some cases frustrating instead of fun?

Reflect on a medical case that you have recently dealt with that frustrated you or seemed difficult to diagnose and manage. Can you identify why the case was difficult?

There can be a multitude of reasons why complex medical cases are frustrating instead of fun.

• Was it due to the client (e.g. having unreal expectations that you could fix the problem at no cost to themselves? Unwilling or unable to pay for the diagnostic tests needed to reach a diagnosis? Unable to give a coherent history?)
• Was the case complex and didn’t seem to fit any recognisable pattern?
• Were you unable to recall all of the facts about a disease, and this biased your thinking?
• Did the signalment, especially breed and age, cloud your clinical reasoning, resulting in an incorrect differential list?
• Did the case seem to fit a pattern, but subsequent testing proved your initial diagnosis wrong?
• Did you seem to spend a lot of the client’s money on tests that weren’t particularly illuminating?

Can you add any other factors that have contributed to frustrations and difficulties you may have experienced with medical cases?

Apart from the client issues (and as discussed later, we may be able to help a little bit here as well), we hope that by the end of this book, we will have gone some way towards removing the common barriers to correct, quick and efficient diagnosis of medical cases and have made unravelling medical riddles fun rather than frustrating.

Solving clinical cases

When a patient presents with one or more clinical problems, there are various methods we can use to solve the case and formulate a list of differential diagnoses. One method involves pattern recognition – looking at the pattern of clinical signs and trying to match that pattern to known diagnoses. This is also referred to as developing an illness script. Another method can involve relying on blood tests to tell us what is wrong with the patient – also referred to as the minimum database. Or we can use problem‐based clinical reasoning. Often, we may use all three methods.

Let’s consider three cases. Each of these will trigger thoughts and ideas about possible diagnoses depending on your knowledge and experience.

Case 1: ‘Sundance’

Sundance is a 17‐year‐old female (neutered) domestic short‐haired cat with a 1‐month history of increased appetite (polyphagia) and increased drinking (polydipsia). Obvious weight loss had been noted by owner over this period of time. Sundance has seemed more agitated and demanding of food and attention.

On physical examination she was obviously thin with a body condition score (BCS) 3/9 and an elevated heart rate (tachycardia) of 240 beats per minute (bpm). There were no other significant findings.

Case 2: ‘Brutus’

Brutus is a 10‐year‐old male neutered Dalmatian with a 3‐day history of vomiting bile and excessive urinating and drinking (polyuria/polydipsia) for 10 days. His appetite has been much reduced for about 10 days as well. On physical examination he was found to be depressed and dehydrated with no other significant abnormalities noted.

Case 3: ‘Erroll’

Erroll is a 4‐year‐old neutered male Burmese cat. He has a 2‐week history of intermittently vomiting bile‐stained material. Over the last 4–5 days he has become progressively anorexic and depressed. 24 hours prior to presentation he had started straining to urinate, and the urine was blood stained. No diarrhoea had been noted by the owners. His water intake was normal until the past 24 hours, when it may have been reduced.

On physical examination he was noted to be very depressed and dehydrated. His rectal temperature was normal (38.1°C). Heart rate was elevated at 220 bpm. Mucous membrane colour was poor and the capillary refill time (CRT) was greater than 3 seconds. Abdominal palpation was unremarkable – the kidneys felt normal and were not painful. The bladder contained some urine but felt normal and could be easily expressed.

So – can we solve all of these cases in the same way? Do we need to? What are the challenges? Let’s consider the tools we use to clinically reason.

Pattern recognition

Pattern recognition involves trying to remember all diseases that fit the ‘pattern’ of clinical signs/pathological abnormalities that the animal presents with. This may be relatively simple (but can also lead to...

Produkt-Details

• Erscheint lt. Verlag: 15.3.2022
• Sprache: englisch
• Themenwelt: Veterinärmedizin
• ISBN-10: 1-119-69821-9 / 1119698219
• ISBN-13: 978-1-119-69821-0 / 9781119698210