Definition/Introduction

Evidence-based medicine (EBM) uses the scientific method to organize and apply current data to improve healthcare decisions. Thus, the best available science is combined with the healthcare professional's clinical experience and the patient's values to arrive at the best medical decision for the patient. There are 5 main steps for applying EBM to clinical practice:

• Defining a clinically relevant question
• Searching for the best evidence
• Critically appraising the evidence
• Applying the evidence
• Evaluating the performance of EBM  [1][2][3]

EBM starts with a clinical question. The clinical question is an issue that the healthcare provider addresses with the patient. After the clinical question is formulated, relevant scientific evidence is sought, which relates to the clinical question. Scientific evidence includes study outcomes and opinions. Not all data has the same strength. Recommendations from an expert are not as robust as the results of a well-conducted study, which is not as good as those of a set of well-conducted studies. Thus in evidence-based medicine, the levels of evidence or data should be graded according to their relative strength. Stronger evidence should be given more weight when making clinical decisions.

The evidence is commonly stratified into six different levels: 

• Level IA evidence is obtained from a meta-analysis of multiple well-conducted and well-designed randomized trials. Randomized trials provide some of the strongest clinical evidence, and if these are repeated and the results are combined in a meta-analysis, then the overall results are assumed to be even stronger.

• Level IB evidence is obtained from a single well-conducted and well-designed randomized controlled trial. When well-designed and well-conducted, the randomized controlled study is a gold standard for clinical medicine.

• Level IIA evidence is from at least one well-designed, executed, non-randomized controlled study. When randomization does not occur, there may be more bias introduced into the study. 

• Level IIB evidence is from at least one well-designed case-control or cohort study. A randomized controlled study cannot effectively or ethically study all clinical questions. 

• Level III evidence is from at least one non-experimental study. Typically, it would include case series, not well-designed case-control or cohort studies.   

• Level IV includes expert opinions from respected authorities on the subject based on their clinical experience.

All clinical studies or scientific evidence can be classified into one of the above categories. The clinician must then use their professional, clinical experience to extrapolate the scientific evidence as it applies to the specific patient. Most clinical studies have specific inclusion and exclusion criteria and the specific population studied. More often than not, the patient being treated by the clinician will have one or more substantial differences from the population in the study. The medical provider must then use their clinical judgment to determine how the variations between the patient and the study population are important or not and how they affect applying the study results to the specific patient.

For example, a specific patient may be a 70-year-old female with a history of hyperlipidemia and a new diagnosis of hypertension, looking at hypertension treatment options. The clinician may find a good randomized controlled trial looking at medications to control hypertension, but the study's inclusion criteria were a population of 18 to 65-year-olds. Should the clinician ignore the results as the specific patient does not meet the study demographics? Should the clinician ignore the age difference between the specific patient and the study population? This is where the clinical judgment helps bridge the gap between the relevant scientific evidence and the specific patient being treated.

Finally, clinicians using evidence-based medicine must put all of the information in the context of the patient's values or preferences. The patient's values or preferences may conflict with some of the possible options. Even strong evidence supporting a specific treatment may not be compatible with the patient's preferences, and thus, the clinician may not recommend the treatment to the patient. Also, the treatment might not apply to the specific patient. As an example, a patient may have a particular form of cancer. Level IA evidence may suggest life expectancy can double from 8 to 16 months with chemotherapy. Chemotherapy has significant side effects. The patient may find those side effects not acceptable and elect not to pursue chemotherapy secondary to the specific patient's preferences and values.

The outcome must be evaluated once the clinical question is formulated, relevant scientific information is evaluated, and clinical judgment is used to apply the relevant scientific evidence to the specific patient and their values. The final step is a re-evaluation of the patient and clinical outcome after the application of the applied information. Did the intervention help? Were the outcomes as expected? What new information is obtained? How can this information be applied to future situations and patients? Evidenced-based medicine starts with the clinical question and returns to the clinical question at the end to see how the process works. Without continuous re-evaluation, the medical provider will be unsure if their impact is positive or negative. Evidence-based medicine is a perpetual wheel of improvement rather than a one-time linear process.

Issues of Concern

Evidence-based medicine brings together 3 different entities: the patient's preferences, the healthcare professional's clinical judgment, and the best available, relevant, scientific information to provide improved medical care.[4] There are numerous criticisms of evidence-based medicine: 

Publication Bias

Evidence-based medicine is based on published results, giving more weight to class I and II evidence. Many studies have shown that positive results are more likely to be published than negative results. This leads to a publication bias of positive-result studies that can skew the available evidence. Additionally, studies funded by companies are more likely to get published to promote the use of the studied medication or device, which can also skew the available evidence.

Randomized, Controlled Trial Bias

Evidence-based medicine places the highest weight in randomized controlled trials. Although such randomized controlled trials may provide strong evidence, a randomized controlled trial may not always be possible or feasible. If a disease process has a very low prevalence, it may be extremely prohibitive or impossible to obtain a sufficient number of participants for a study. For example, progeria is a rare disease with an incidence of around one in 4 to 8 million live births and an average lifespan of 14 years.  With a global population of around 7.6 billion and an annual birth rate of 18.5 births per 1,000 people per year, there would only be around 100 to 400 total individuals with progeria in the world. Conducting a randomized controlled trial with so few patients and producing meaningful results is impractical.

As a second example, consider the ethical implications of randomized controlled trials. In a paper by Smith et al (2003), they argue that we take for granted that parachutes help prevent injuries and save lives after a person jumps out of an airplane. This common-sense observation has not yet been studied and proven with a randomized controlled trial. The article argues that people should accept certain common-sense ideas, and randomized, controlled trials are not always necessary. After all, can researchers easily find evidence-based medicine purists who would be willing to sign up for a randomized, cross-over, placebo-controlled trial testing the utility of parachutes to decrease injuries or death after jumping out of an airplane?

Finally, there are many, many more clinical questions than there are randomized controlled trials. The many suitable questions for a well-designed and well-conducted randomized controlled trial far exceed the available resources to conduct the trials. We must admit that resources are limited, and spending time on every possible clinical question or configuration of clinical importance may not be practical or advisable. Research should instead devote such resources to focusing on higher-impact clinical questions.

Lag Time

A well-designed and well-conducted randomized controlled trial takes time to design, carry out, and report. Significant changes in the medical landscape can occur between the trial's design and initiation and the results' publication. More than once, a study has sought to examine a chemotherapy regimen for a specific cancer, only for that chemotherapy regimen to be antiquated and supplanted by the time the trial results are published.

Values

Although patient values are explicit in the evidence-based medicine model, many healthcare practitioners omit or minimize patient values. It is not uncommon for the healthcare provider to recognize the medical issue, perform the review, evaluate and assimilate relevant scientific information, and implement an intervention without considering the patient's values. Clinicians can easliy be swept away in trying to implement the "best evidence" or "best practices" before understanding how these either fit or contradict the patient's values.[5][6][7][8][9]

Clinical Significance

Evidence-based medicine provides a framework for applying the relevant scientific evidence to the patient's condition based on the patient's values, using the clinician's clinical judgment to tailor the treatment for the patient. Evidence-based medicine aims to improve medical outcomes based on the highest quality evidence available. After the intervention is implemented, the outcome should be re-evaluated in the context of the clinical question to see what effect occurred; this can also be applied to a population to generate recommendations for the population based on current medical evidence. Population recommendations are typically graded based on the underlying science behind the guidelines. Various grading schemes exist. These schemes rank recommendations from solid evidence (to support the guidelines) to poor or no evidence (to support the guidelines with varying support levels in between).  

Nursing, Allied Health, and Interprofessional Team Interventions

Evidence-based medicine provides a roadmap for clinicians to apply valid scientific evidence to the patient's condition based on the patient's values, using the clinician's clinical judgment to tailor the treatment for the patient. Evidence-based medicine aims to improve medical outcomes based on the highest quality evidence available. Short-term data evaluation indicates that EMB may improve patient outcomes in certain disorders.[10][11][12]