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Revision as of 00:44, 14 November 2007


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[[User:Supten Sarbadhikari|Supten Sarbadhikari]] has nominated the version dated 00:43, 14 November 2007 (CST) of this article for approval. Two other editors currently support the approval (Robert Badgett and Harvey Frey). The Health Sciences Workgroup is overseeing this approval. Unless this notice is removed, the article will be approved on Nov 12, 2007.
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Evidence-based medicine is defined as "the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients.".[1] Alternative definitions are "the process of systematically finding, appraising, and using contemporaneous research findings as the basis for clinical decisions"[2] or "evidence-based medicine (EBM) requires the integration of the best research evidence with our clinical expertise and our patient's unique values and circumstances."[3] Better known as EBM, evidence based medicine emerged in the early 1990s.

Evidenced-based practice is not restricted to medicine among the health sciences, dentistry, nursing and other allied health science are adopting "evidence based medicine" as well.Evidence-Based Health Care or evidence-based practice extends the concept of EBM to all health professions, including purchasing and management [1].

Why do we need evidence-based medicine?

Why should such an approach to clinical medicine merit its own name, let alone another acronym in the medical literature? Don't physicians ordinarily conscientiously and judiciously use scientific evidence in treating patients? Isn't that simply routine medical care?

In fact, most of the specific practices of physicians and surgeons are based on traditional techniques learned from their seniors in the care of patients during training, that are modified with personal clinical experience and information gleaned from the medical literature and continuing education courses. Although these practices almost always have a rational basis in biology, the actual efficacy of treatments is rarely explicitly proven by experimental trials in people. Further, even when the results of experimental trials or other evidence has first been reported, there is a lag time between accepting changes in procedures, treatments and tests in medical care at centers where such research is carried out or reviewed, and establishing them as routine practice generally in clinical care.

Evidence-based medicine seeks to promote practices that has been shown, through the scientific method to have validity by empiric proof. As such, it currently encompasses only a very small minority of actual practices in clinical medicine and surgery. More often, recommendations are made on the basis of best evidence that are reasonable, but not proven. Evidence-based medicine is also a philosophy, however, that seeks to validate practices by finding proof.

Steps in evidence-based medicine

Ask

"Ask" - Formulate a well-structured clinical questions

Acquire

The ability to "acquire" evidence in a timely manner may improve healthcare.[4] Unfortunately, doctors may be lead astray when acquiring information as often as they find correct answers.[5]

A proposed structure of the evidence search is the 5S search strategy,[6] which starts with the search of "summaries" (textbooks). A randomized controlled trial supports the efficiency of this approach.[7]

Appraise

To "Appraise" the quality of the answer found is very important as one third of the results of even the most visible medical research is eventually either attenuated or refuted.[8] There are many reasons for this[9]; two of the most important reasons are publication bias[10] and conflict of interest[11].

These two problems interact as conflict of interest is predictive of publication bias.[12][10]

Publication bias

Publication bias is the tendency for negative studies not to be published; the most common reason may be due to authors choosing not to submit publications.[10][13] Publication bias may be more prevalent in industry sponsored research.[14]

In performing a meta-analyses, a file drawer[15] or a funnel plot analysis[16][17] may help detect underlying publiation bias among the studies in the meta-analysis.

Conflict of interest

Regarding the design of randomized controlled trials, industry sponsored studies may be more likely to select an inappropriate comparator group that would favor finding benefit in the experimental group.[14]

Regarding the reporting of data in randomized controlled trials, industry sponsored studies may be more likely to omit intention-to-treat analyses.[12]

Regarding the conclusions reached in randomized controlled trials, one study did not find evidence of overstatement[18]; however, a later study[19] found that industry sponsored studies are more likely to recommend the experimental drug as treatment of choice even after adjusting for the treatment effect. Similarly, industry sponsored studies may be more likely to conclude that drugs are safe, even when they have increased adverse effects.[20]

Unfortunately, the presence of authors with conflict of interests is not reliably indicated in journal articles.[21] In addition, when studied in the late 1990s, approximately 10% of some types of articles used 'ghost writers'.[22] Ghost writers mean that the credited author in the byline may not have been the real author and the real author may have a conflict of interest.

Other issues

Other issues in appraising evidence include statistical issues such as adequacy of sample size.[23]

Apply

It is important to "apply" correctly the answers found. Common problems in applying evidence are 1) difficulties with numeracy and 2) recognition of the correct population that evidence applies to.

Difficulties with health numeracy

Both patients and healthcare professionals have difficulties with health numeracy and probabilistic reasoning.[24]

Difficulties in applying evidence to the correct patient population

Studies document that extrapolating study results to the wrong patient populations (over-generalization)[25][26][27] and not applying study results to the correct population (under-utilization)[28] can both increase adverse outcomes.

Over-generalization
The problem in over-generalization of study results may be more common among specialist physicians.[29] Two studies found specialists were more likely to adopt COX-2 drugs before the drugs were recalled by the FDA [30][31]. One of the studies went on to state "using COX-2s as a model for physician adoption of new therapeutic agents, specialists were more likely to use these new medications for patients likely to benefit but were also significantly more likely to use them for patients without a clear indication".[31] Similarly, orthopedists may provide more intensive care for back pain, but without benefit from the increased care.[32] Specialists may be less discriminating in their choice of journal reading. [33]

Under-utilization
The problem of under-utilizing study results may be more common when physicians are practicing outside of their expertise. For example, specialist physicians are less likely to under-utilize specialty care[34][35], while primary care physicians are less likely to under-utilize preventive care[36][37].

Assess

"Assess". Evaluate one's performance

Classification

Two types of evidence-based medicine have been proposed.[38]

Evidence-based guidelines

Evidence-based guidelines (EBG) is the practice of evidence-based medicine at the organizational or institutional level. This includes the production of guidelines, policy, and regulations.

Evidence-based individual decision making

Evidence-based individual decision (EBID) making is evidence-based medicine as practiced by the individual health care provider and an individual patient. There is concern that current evidence-based medicine focuses excessively on EBID.[38]

Evidence-based individual decision making can be further divided into three modes, "doer", "user", "replicator" by the intensity of the work by the individual.[39]

This categorization somewhat parallels the theory of Diffusion of innovations, but without pejorative terms, in which adopters of innovation are categorized as innovators (2.5%), early adopters (13%), early majority(33%), late majority(33%), and laggards(16%).[40] This categorization for doctors is supported by a preliminary empirical study of Green et al that grouped doctors into Seekers, Receptives, Traditionalists, and Pragmatists.[41] The study of Green et al has not been externally validated.

The same doctors may vary which group they resemble depending on how much time is available to seek evidence during clinical care.[42] Medicine residents early in training tend to prefer being taught the practitioner model, whereas residents later in training tended to prefer the user model.[43]

Doer

The "doer"[39] or "practitioner"[44] of evidence-based medicine does at least the first four steps (above) of evidence-based medicine are performed for "self-acquired"[42] knowledge.

If the Doers are the same as the "Seekers" in the study of Green, then this group may be 3% of physicians.[41]

This group may also be the similarly small group of doctors who use formal Bayesian calculations[45] or MEDLINE searches[46].

User

For the "user" of evidence-based medicine, "[literature] searches are restricted to evidence sources that have already undergone critical appraisal by others, such as evidence-based guidelines or evidence summaries"[39]. More recently, the 5S search strategy,[6] which starts with the search of "summaries" (evidence-based textbooks) is a quicker approach.[7]

If the Users are the same as the "Receptives" in the study of Green, then this group may be 57% of physicians.[41]

Replicator

For the "replicator", "decisions of respected opinion leaders are followed"[39]. This has been called "'borrowed' expertise".[42]

If the Replicators are the same as the "Traditionalists" and "Pragmatists" combined in the study of Green, then this group may be 40% of physicians.[41] This is a very broad group of doctors. Possibly the lowest end of this group may be equivalent to the laggards of Rogers. This much smaller group of doctors, ones who have "severely diminished capacity for self-improvement", may be at increased risk of disciplinary action by medical boards.[47]

Metrics used in evidence-based medicine

Diagnosis

  • Sensitivity and specificity
  • Likelihood ratios

Interventions

Relative measures

  • Relative risk ratio
  • Relative risk reduction

Absolute measures

  • Absolute risk reduction
  • Number needed to treat
  • Number needed to screen
  • Number needed to harm

Health policy

  • Cost per year of life saved[48]
  • Years (or months or days) of life saved. "A gain in life expectancy of a month from a preventive intervention targeted at populations at average risk and a gain of a year from a preventive intervention targeted at populations at elevated risk can both be considered large."[49]

Experimental trials: producing the evidence

For more information, see: Randomized controlled trial.


Evidence synthesis: summarizing the evidence

Systematic review

For more information, see: Systematic review.


Meta-analysis

Systematic reviews that quantitatively pool results from research studies are called meta-analyses.

Clinical practice guidelines

For more information, see: Clinical practice guideline.


Incorporating evidence into clinical care

Practicing clinicians usually cite the lack of time for reading newer textbooks or journals. However, the emergence of new types of evidence can change the way doctors treat patients. Unfortunately the recent scientific evidence gathered through well controlled clinical trials usually do not reach the busy clinicians in real time. Another potential problem lies in the fact that there may be numerous trials on similar interventions and outcomes but they are not systematically reviewed or meta-analyzed.

Medical informatics

An essential adjunct to the practice of evidence-based medicine (EBM) is medical informatics (MI) which focuses on creating tools to access and apply the best evidence for making decisions about patient care.[3]

Before practicing EBM, informaticians (or informationists) must be familiar with medical journals, literature databases, medical textbooks, practice guidelines, and the growing number of other dedicated evidence-based resources, like the Cochrane Database of Systematic Reviews and Clinical Evidence.[50]

Similarly, for practicing medical informatics properly, it is essential to have an understanding of EBM, including the ability to phrase an answerable question, locate and retrieve the best evidence, and critically appraise and apply it.[51][52]

Studies of the effectiveness of teaching evidence-based medicine

A systematic review of the effectiveness of teaching concluded "standalone teaching improved knowledge but not skills, attitudes, or behaviour. Clinically integrated teaching improved knowledge, skills, attitudes, and behaviour."[53] A second review concluded improvements in unvalidated measures of "knowledge, skills, attitudes or behavior."[54] Neither review examined improvements in clinical care.

Two systematic reviews of provide the framework below for measuring outcomes.[55][56]

Information retrieval

Increasing use of information

A randomized controlled trial of volunteer senior medical students found that access to information portal on a handheld computer increased self-reported use of information.[57] The information portal contained multiple pre-appraised resources, including a textbook and drug resource, and would best resemble the "user" mode. The study was not able to isolate which resources in the portal had increased use. It is possible that the benefit was solely due to the textbook or drug resource.

A randomized controlled trial of teaching and encouraging use of MEDLINE by medical resident physicians showed increased searching for evidence during 6-8 weeks of observation.[58] Based on the median number of searches and hours spent searching, each search averaged 22 minutes, which may not be sustainable over long term.

Improving clinical care

Teaching "user" mode only using syntheses and synopses, without summaries, has not shown benefit in two studies. A controlled trial of teaching the "user" mode (see above) was negative.[59] However, this study encouraged the use of syntheses and synopses and did not encourage the more practical "summaries" (evidence-based textbooks) of the "5S" search strategy.[6] A quasirandomized, controlled of teaching medical students the use of studies, syntheses, and synopses using an automated search engine was negative.[60]

Information awareness

Increasing use of information

A cluster randomized trial of McMaster Premium LiteratUre Service (PLUS) led to " increased the utilization of evidence-based information from a digital library by practicing physicians."[61]

Improving clinical care

No controlled studies have addressed improving clinical care by use of information awareness strategies.

Clinical reasoning

Improving clinical care

A controlled trial of teaching Bayesian principles (probabilistic reasoning) "improves the efficiency of test ordering."[62]

Studies on how to teach evidence-based medicine

This sections includes implications based on the preceding discussion on studies of effectiveness. In addition this section includes other studies or reports of teaching methods, even though these methods have not been subjected to study of effect on clinical outcomes.

Ask

Acquire

A search strategy similar to the 5S strategy should be taught for use when the searcher has limited time available during clinical care. This is based on one positive study of its use[7] and two negative studies[59][60] of teaching the use using secondary and primary publications. In addition, indirect evidence on the time needed to search also supports the emphasis on using tertiary publications. Doctors may have two minutes available to search[46], whereas using MEDLINE may take 20 minutes or more.[63][58]

Teaching MEDLINE searching would be appropriate for "Doers' who might be willing to invest time in searching MEDLINE when not hurried by clinical care. Based on studies of common errors in searching MEDLINE, learners should be taught Medical Subject Headings (MeSH) terms and their explosion, appropriate limits, and best evidence to search for.[64] The mnemonic PEARL may guide how to each.[65] PEARL stands for:

  1. "Choose a 'Preplanned search intervention'"
  2. "Allow learners to 'Execute the search,' thus committing themselves"
  3. "'Allow learners to teach other learners' about their search process
  4. "'Review the quality of evidence' for the information found"
  5. "Discuss 'Lessons of the search.'"

Appraise

Apply

Clinical reasoning

There are various methods of clinical reasoning include probabilistic (Bayesian), causal (physiologic), and deterministic (rule-based).[66] In addition, medical experts rely more on pattern recognition which is faster and less prone to error[67]; however, clinical experts seem flexible and may use whichever method of reasoning most easily represents and solves a given problem.[68] Scales to measure clinical reasoning have been proposed.[69] Explicit Bayesian thinking with precise numbers is rarely done.[70][45] Basic science knowledge is probably "encapsulated" into clinical knowledge.[71]

Competing-hypotheses heuristic[72]
Finding Disease A Disease B
Fever 66% cell B
Rash cell C cell D
The most important missing information is cell B

Possible strategies to improve clinical reasoning have been reviewed[73][74] and using problem-based learning[74], include teaching appropriate problem representation creating a one-sentence summary of a case[73], standardized patients[75], teaching hypothetico-deductive reasoning[76][77], cognitive forcing strategies[78][79] to avoid premature closure[80], teaching the competing-hypotheses heuristic[72], and using fuzzy-trace theory[81].

Studies are inconclusive on using cognitive feedback[82] and teaching logic[83][84].

Assess

Criticisms of evidence-based medicine

Evidence-based medicine has been criticized as an attempt to define knowledge in medicine in the same way that was done unsuccessfully by the logical positivists in epistemology, "trying to establish a secure foundation for scientific knowledge based only on observed facts".[85]

Complexity theory

Complexity theory is proposed as further explaining the nature of medical knowledge.[86][87]

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