Quiz
EBM2 MST
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Perguntas do quiz (200)
1Systematic Reviews are rated as the ‘highest level of evidence’ in the evidence hierarchy pyramid.
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2The Cochrane Library is a database of systematic reviews and meta-‐analyses.
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3Using one database to search for information is best as this ensures you don’t mix your results.
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4PubMed only provides abstracts which are useful to then search for relevant studies elsewhere.
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5Common Boolean logic terms consist of AND, WITH & OR
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6There is no need to read the whole article because abstracts provide a complete summary of the content within.
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7Searching different databases with the same terms provides the same results.
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8Because they are often conducted with blinding, Randomised Control Trials (RCTs) provide the highest level of evidence. Because of this, using the filter to restrict results to only show RCTs provides you with the best evidence.
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9The use of the ‘OR’ operator narrows the amount of titles found.
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10‘Exploding’ a heading removes that heading from the search results.
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11MeSH terms are not always picked up when entered, so it is important to check and see that relevant items are being included.
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12PICO is the most reliable format for conducting a search as it highlights the keywords that can be entered into databases.
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13Before using a database, it is a good idea to research the terms to find possible synonyms.
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14Before using a database, it is a good idea to research the terms to find possible synonyms.
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15The Cochrane Library provides access to Cochrane Systematics Reviews and to other forms of literature.
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16The library subscriptions provide access to more full text articles so logging in furthers your reach for finding good evidence.
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17Databases are a tool for finding information, but it is important to familiarise yourself with different databases to make searching as efficient as possible.
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18Using MeSH terms searches for like-terms and increases the chances that important research is captured.
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19Having a systematic approach to searching for evidence is a good way to ensure that you are not overwhelmed with information.
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20P values provide clinicians and patients with the information they most need.
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21Clinicians do not need to use confidence intervals to properly use research results in decision making processes.
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22Narrow Confidence intervals result from a large sample size and events which provide, a definitive conclusion about recommending therapy.
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23Statistical significance questions whether confidence intervals exclude the null value.
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24Statistical significance is used to inform clinical significance.
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25Treatments becomes clinically significant because the difference between treatments is statistically significant.
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26Clinical significance can be inferred from statistical significance if P value is ≥0.05
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27The P value measures the strength of the evidence that supports the null hypothesis.
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28Clinical significance asks whether any of the values in the confidence interval are big enough to care about
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29Huge samples create a more accurate P value.
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30P values are a tool for separating real effects from chance.
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31For studies with a negative result, clinicians should examine the lower boundary of the confidence interval.
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32To determine if the sample size in a study is inadequate, you examine the lower boundary of the confidence interval.
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33If the confidence interval overlaps the smallest treatment benefit, the study is not definitive and a larger study is needed.
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34P values ≤ 0.05 indicates strong evidence against the null hypothesis with 95% certainty.
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35P values ≥0.05 indicates strong evidence against the null hypothesis with 95% certainty.
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36Primary sources are the best source of information to use when conduction a search.
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37The PICO format is best technique used in evidenced based medicine to frame and answer for a clinical question.
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38Wikipedia is one of these best databases to use.
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39Combining searches is an effective way at finding relevant information to a clinical question.
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40When searching a database filters narrow the search to clinically important articles.
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41Databases allow you to choose which article types you want to search for.
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42When searching PubMed with a single term into the search box it automatically carries out both a textword and thesaurus search.
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43When having found a useful article in PubMed there is a related hyperlink that searches for similar items within the database.
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44Medline is the leading resource for systemic reviews.
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45The Cochrane library has a wide range of study types
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46The best way to search a database is to type in your complete question
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47When searching PubMed, the researcher must enter in all related terms as there is no textword or thesaurus search function
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48The P in PICO stands for population/patient.
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49Databases like PubMed, Medline and CINAHL allow you to search for studies within specific years.
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50A good literature search shouldn’t include unpublished work and studies with negative findings.
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51You only have to use 1 database when trying to answer a clinical question.
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52Confidence intervals are the range within which the true treatment effect might plausibly lie, when given the trial data.
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53In regards to confidence intervals, greater precision results from smaller sample sizes and small numbers of events.
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54When clinicians are trying to determine whether a trial with a positive effect is sufficiently large, they should focus on the upper boundary of the confidence interval.
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55A P value of equal to or less than 0.05 tells us that we can rule out the null effect/hypothesis with 95% certainty.
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56P values are not usually helpful for studies with large sample sizes.
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57Clinical significance asks whether any of the values in the confidence interval are big enough to care about.
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58Statistical significance can be inferred from clinical significance.
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59If the statistical power of a study is increased, the sample size is also increased.
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60The “Number-needed-to-treat” is an estimation of the number of patients that need to be treated in order to have an impact on one person.
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61Big sample sizes in trials means that small discrepancies will go undetected.
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62The Pearson correlation coefficient is a measure of strength of the association between 3 variables.
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63Differences in treatment groups less than the smallest effect of clinical interest are more like to be found statistically significant when the sample size is increased.
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64Is it important for clinicians to think about the smallest amount of benefit that would justify therapy when examining a new study?
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65In some cases, outcomes of a study and research may not be considered significant by the patients, especially if the new/changed intervention involves a considerable amount of time and effort on their behalf.
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66When calculating the sample size in clinical trials, the minimum power usually recommended to have is 70% or above.
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67Whenever an effect is insignificant, all values within the confidence interval will be on the same side of zero.
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68Case reports are high quality literature, according to most levels of evidence
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69It is not important for a researcher or clinician to know the difference between levels of evidence
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70Clinical trials are always the best type of study design in medical experiments
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71Exposure to confounding variables does not increase the potential risk of bias in a study design
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72Systematic reviews are often unreliable sources of information and should not be relied upon for clinical decision making
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73A researcher does not need to consider which study design is the most appropriate to answer their question when planning their investigation
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74Sources of evidence higher on the hierarchy of evidence usually only investigate small populations of patients for a particular outcome
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75Those sources higher up on the hierarchy of evidence are always superior to those below them
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76Levels of evidence are a method of grading literature quality
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77Debate exists about the rigidity of the hierarchy of evidence
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78Different levels of evidence are appropriate for use depending on the setting and intended audience involved
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79Each study design must be considered for its own strengths and weaknesses prior to selection
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80Several models exist for the hierarchy of evidence
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81Expert opinions are considered to be poorer quality evidence, according to most hierarchies
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82The design of a study affects its position on the hierarchy of evidence
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83The term 'levels of evidence' was first used and described within a 1979 report by the Canadian Health Task Force on Periodic Health Examination
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84CINAHL stands for ‘Cumulative Index to Nursing and Allied Health Literature’.
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85Systematic reviews and meta-analyses are the most reliable forms of evidence.
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86Randomised controlled trials are the best form of evidence in non-synthesised medical information.
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87Expert opinion has a lot of bias and is therefore located at the bottom of the hierarchy of evidence.
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88Studies that limit bias to a greater extent are considered to be better sources of evidence compared to those which don’t.
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89Randomised control trials aren't always practical or feasible.
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90A randomised control study in which participants and researchers are blinded gives a higher level of evidence and is a more reliable source.
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91Cochrane Reviews are systematic reviews of primary research in the health industry and are recognised as the highest standard and most reliable of sources in evidence-based health care resources.
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92Clinical trials and cohort studies are more reliable sources than expert opinion.
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93Double blinding lowers a sources evidence strength.
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94Randomising participants in a randomised control study makes the study less reliable as a source.
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95The levels of evidence hierarchy is very rigid and studies which are higher on the hierarchy are always better than those which are lower.
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96Meta-analyses tend to have more bias than cohort studies.
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97Meta-analyses tend to have more bias than case studies.
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98Study design has no effect on a studies’ evidence strength.
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99Expert opinion is the most reliable form of evidence.
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100There are more meta-analyses available than there are randomised control studies.
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101Systematic Reviews are rated as the ‘highest level of evidence’ in the evidence hierarchy pyramid.
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102The Cochrane Library is a database of systematic reviews and meta-‐analyses.
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103CINAHL stands for ‘ Cumulative Index to Nursing and Allied Health Literature’.
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104The ‘C’ term within ‘PICO’ stands for comparison.
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105The TRIP database has a ‘PICO’ search option, which allows users to create a structured clinical question.
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106To conduct a comprehensive search more than one database should be used.
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107The ‘wildcard’ symbol can be used to find words with the same stem in order to increase the scope of successful searching.
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108‘MeSH’ is an indexing feature that stands for Medical Subject Headings.
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109‘AND’, ‘ OR’ and ‘NOT’ are terms that should never be used while searching medical databases
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110It is often only necessary to use one database, as they are all linked and have the same results.
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111Cohort studies are rated as the ‘highest level of evidence’ in the evidence hierarchy
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112Randomized Control Trials often provide unreliable evidence and should be overlooked when conducting searches.
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113It is always necessary to have a comparison when conducting a ‘PICO’ search.
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114Conducting a thorough search should only take around half an hour.
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115‘MeSH’ is the abbreviation for methanethiol and is irrelevant to the field of evidence-‐based medicine.
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116Online databases are updated infrequently and as a result textbooks are often more reliable when searching for examples.
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117The P in PICO stands for Patient.
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118In PICO the outcome is the end point of interest to you or your patient.
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119In PICO the comparison is the intervention against which the intervention is measured
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120A fifth element time is often added to the PICO list.
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1215. The strongest design for evaluation of a clinical question is a systematic review of multiple randomised clinical trials.
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1226. You can further filter your search by language, year, or age group.
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1237. Choosing the right key words and search strategy and using appropriate databases are essential starting points. 8. Advanced searching includes the use of the medical subject headings thesaurus and other strategies to refine and focus the search.
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124What matters to the practitioner are the most important outcomes.
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125PICO stands for Patient, Interaction, Comparison and Outcome.
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126PubMed is not a credible source when researching an article.
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127Using Mesh headings are irrelevant to the search strategy.
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128CINAHL is not useful when studying nursing as a prime database.
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129Having the same search strategy across databases is not necessary.
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130Endnote is a good database when looking for a systematic review.
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131When searching for a article filters are unnecessary and time consuming.
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132The database for nursing and allied health studies is called CINAHL.
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133The outcome in the ‘P I C O’ principle refers to patient-‐relevant consequences of the intervention.
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134The AND operator is used when you wish to recall those records containing both search terms.
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135The intervention in the ‘P I C O’ principle refers to the management strategy of interest.
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136Medical subject headings (MeSH terms) are a controlled vocabulary device used by the National Library of Medicine to cross-‐reference every Medline article.
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137The OR operator is used when at least one of the terms must appear in the record, broadening the search and increasing the number of citations received.
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138The wildcard symbol can be used to find all of the words with the same stem.
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139Boolean instructions, such as AND, OR, and NOT, operate within most databases and must be typed in upper case.
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140Finding all relevant studies that have addressed a single question is an easy task.
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141The NOT operator is used to retrieve records containing both search terms.
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142PubMed does not retain previous search results on the ‘history’ function on the features bar.
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143Additional terms cannot be added to an existing search, and therefore multiple searches cannot be combined.
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144The population in the ‘P I C O’ principle refers to the total population in the patient’s household.
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145The abstract must not be used as a ‘starting point’ to assist the reader in determining the relevance of the study.
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146All research questions must contain the comparison component of the ‘P I C O’ principle.
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147There is no database for psychological studies.
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148Statistical significance tells us how confident we can be when an effect of an intervention is true/real.
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149Statistical significance does not tell us if the impact is large enough to be implemented.
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150Statistical significance is a mathematical phenomenon.
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151Statistical significance depends on sample size, precision of data and effect size.
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152Statistical significance looks at the 95% confidence interval.
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153p values and confidence intervals (CI) are the most commonly used measures of statistical significance.
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154If a small effect size is found, the treatment may not be clinically important.
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155The null hypothesis is the basis for formal testing of statistical significance
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156Clinical significance does not measure how large the differences in treatment effects in clinical practice.
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157The 35% CI is used to measure statistical significance.
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158If the sample size is large, the clinical significance will always be large.
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159The higher the statistical significance the higher the clinical outcome.
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160Clinical significance is not of importance to a treatment effect.
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161Statistical significance equates to clinical usefulness.
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162To be clinically useful, the therapy must do more harm than good.
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163If a hazard ratio is less than 1,it is not statistically significant.
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164When a sample size is large, differences that are minute can be detected.
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165When judging clinical significance 95% confidence intervals should be considered over p-‐ values for large sample sizes.
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166Clinical significant results make enough of a difference to change the method of practice.
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167Clinical significance is judging whether the values in the confidence intervals are large enough to care about.
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168When studies have very large sample sizes, p-‐values can be considered almost obsolete.
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169Any effect no matter how small, can be seen as statistically significant if the sample size is large enough.
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170A clinician should decide that the study was large enough and the confidence intervals were small enough to warrant clinical significance.
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171To determine whether a positive result is clinically significant, the lower boundary of the confidence interval should be looked at.
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172When a p-‐value is <0.05 the result is considered clinically significant.
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173A clinical board must reach a unanimous decision to define a result as clinically significant.
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174Statistical significance shows whether confidence intervals include the null value.
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175Statistical p-‐values are most helpful for finding clinical significance, when looking at huge sample sizes.
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176The larger a sample size is the wider a confidence interval becomes, reducing the relevance of statistical significance.
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177P-‐values depend on the overall sample size, proving clinical significance with large enough numbers.
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178As huge studies become more prevalent, the difference between clinical significance and statistically significance are becoming irreverent.
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179Thresholds which patients would consider important in terms of treatment, can not define whether a result is clinically significant.
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180RCT’s are not always practical. This may be due to ethical issues.
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181An example of a retrospective study design is a case-‐control study.
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182The hierarchy of evidence provides a guide towards categorising clinical research.
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183Studies that limit bias to the greatest extent are higher levels of evidence.
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184The first step in assessing the validity of a research study is to determine study design.
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185A systematic review would be an effective trial design to research which NSAID is the least likely to cause a heart attack.
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186Strengths of case reports and case series study designs are that they are cheap and relatively easy do with existing medical records.
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187A limitation when using a cohort study design for rare diseases may be that there are not enough patients to be statistically or clinically significant.
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188RCT’s are generally very inexpensive study designs.
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189Expert opinion is a higher level of evidence than a case report.
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190The strength of a case-‐control study design is that you can study a number of diseases and outcomes at any given time.
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191Cohort studies are not ideal for etiology, harm or prognosis.
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192Using the term 'safe' to a consumer is preferred rather than using the term 'low risk' as it gives consumer 100% confidence.
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193It is not appropriate to ask a patient if there is a particular side effect they are concerned about, always list every possible side effect.
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194Clinical trials never involve human experiments.
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195Case reports, case series and cross-‐sectional studies are all longitudinal studies.
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196Systematic reviews is used as a stronger evidence as compared to the expert opinions.
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197All health professionals should use appropriate language for communication that is understandable to all level of patients.
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198Visual demonstration is the convenient way to convey the health message across the patients with poor literacy level.
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199It is the responsibility of the health care provider to provide the effective treatment to the patient.
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200Strong research method will not only help to get the better outcomes but it also prevent from getting the misleading result, which might be harmful for the patient.
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Informações
- Descrição
- Just a bit of a warm up for the exam tomorrow. 30 seconds per question. True or false.
- Autor
- Jack Milton
- Idioma
- English
- Visualizações
- 29
- Etiquetas
- Avaliação
- Ainda sem avaliações Avalie este quiz