1. CRITICAL EVALUATION OF DRUG INFORMATION AND
LITERATURE
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DRUG LITERATURE EVALUATION:
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Among the skills of drug Information is knowledge of drug literature
evaluation which allows one to provide a critical analysis of the
literature and have a better understanding of the studies done in health
and medicine.
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It is a key component to provide a good quality answer to a requester.
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Being able to separate good data from poor data is essential.
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Knowing the limitations of any study can help in evaluating the
usability of its data.
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Drug information specialists will often use some standard questions to
help in this process.
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Several references provide guides to evaluate the medical and
pharmacy literature.
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NEED OF THE LITERATURE EVALUATION:
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Increasing sophisticated patient population who
educate themselves about drug therapy (from various
sources such as healthcare professionals, purveyors
of alternative meds, family and friends), internet and
reading some medical literatures and lay press.
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The physicians and other health care often contact
the pharmacist for opinion on various aspects of the
therapy.
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Addition and deletion of the drugs from the
formulary.
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These responses can only be made after careful
analysis of the available studies by the pharmacist.
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REASON OF FLAWS AND BIAS IN THE LITERATURES
PUBLISHED:
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Quantity of publication to become tenured academicians may
lead to an attempt to publish suboptimal quality publication or
same study in more than one journal orNportions ofthe same
study in multiple journals.
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Researchers may have lack of knowledge in study design and
statistical analysis to perform well conducted study. Or maybe
the reviewers of the journal may be deficient in such
knowledge.
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Even if the peer reviewers recognize the flaw they may
consider it worthy of publication if the research is in an area of
importance and its publication may stimulate further
investigations.
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LITERATURE EVALUATION:
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l. Title/ Abstract:
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Title of the article should be brief and catch the attention of the readers
interested in the topic. And it should not be biased or indicate the
authors preference's viz., "study on the superiority of drug A against
drug B in xyz diseased patients.
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Abstract is the road map of a study. It is less time consummg and by
scaning the abstracts, readers should be able to determme whether the
study is of interest and deserves further reading.
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Some discrepancies regularly seen in the abstracts is that some data or
numerical values mentioned in the abstract will not be discussed in the
body of the article or will not be the same as the one given in the
results of the study.
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Structured abstracts for clinical studies include the following sections:
objective, research design, clinical setting, participants, Interventions,
main outcome measurements, results, and discussion.
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2. Introduction:
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This will contain the background information for the
study and states study objectives and hypotheses.
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The background information states that the study is
important and ethical. It familiarizes the readers with
the research subject. Previous investigations and their
limitations; need of the present study; and should
clarify that the benefits of the study outweighs the
risks tot eh patients entering the study. Superscriptions
of references made for cross references.
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Study objectives or goals should be precise and clearly
stated that it Will not confuse the readers and come to
an erroneous conclusion regarding study results.
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The ill stated objective shows that the study was
not well planned.
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Some studies state the null hypothesis and
research hypothesis (researchers expect to find
durmg the course of their study) in the
introduction part.
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Ethical issues are either addressed in the
introduction part or in the methodology part.
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This is to ensure that the risks to subjects are
minimal and they know about the possible
benefits and hazards of the study. Also mention
regarding the Informed consent form if necessary.
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3. Methodology:
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The most important section of a clinical study.
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Results of studies that show methodological
flaws are unreliable.
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The main contents of the methodology can
include: the research site, study period, ethical
committee approval statement, study design,
study population, instrumentation, and statistics
used for the investigation.
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4. Study Design:
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Two major types of study design seen in the true
experiments: Parallel studies and Cross - Over studies.
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In parallel study the patients/ subjects (either the control or
the treatment group) receives only one treatment throughout
the study. Whereas In case of cross-over study subjects
receive all study drugs.
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Parallel studies are appropriate in case when therapies are
definitive or when disease states are self limited (e.g.,
antimicrobials for infectious diseases).
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Cross -over studies are appropnate in case diseases are
chronic and/or variable (e.g.,glaucoma, migraine headache).
In this study the error caused by variability among subjects
are minimized since the each subject serves as his or her own
control
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5. Study Criteria:
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Inclusion criteria:
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List the subject characteristics that must be present for
enrolment into the study.
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Exclusion criteria:
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List the characteristics in the target population that should not
be included In the study.
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Subjects who are harmed by the therapy or who may confound
the results of the study.
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Diagnosis criteria for the disease state should be clearly defined.
(Climcal, laboratory and demographic criteria that justifies the
diagnosis).
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The reader should check whether the enrolled subjects represent
the patients routinely encountered in the clinical practice
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6. Sample size:
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A sample is a subgroup from the entire population
of patients With a particular disease state.
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Samples are used because of logistic, financial,
and resource constraints that prohibit studying an
entire population.
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The study needs a relevant sample size. Depends
on the study objectives and design.
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Can be confident about the study in case the
number of patients who completed the study
equals the investigator's initial sample size
calculations presented n the methodology.
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A discussion on the sample size calculation should be
made by the investigator and whether the final
number of subjects equals this calculation.
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Many Investigators add 10 20% ofthe sample size
calculation keeping In mind about the drop outs or
death of the subject that can happen during the study.
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In case of multicentre study it should be mentioned
and make sure that the all the centres understand the
protocol and receives adequate training in the conduct
of trial.
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A minimum level of sample can be presented as pilot
study that give nse to further research or hypotheses.
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Controls or Control groups:
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?Two types of controls mainly used in the clinical
trials: a) placebo control, and b)active control.
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Historical controls (retrospective data) are used In
case the use of the previously used drug is no longer
ethical.
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The criteria's and variables of the historical control
should be similar to the current study. Time of data
collection effects the patient response.
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All the interventions and care should be smilar in both
the control and treatment group.
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Outcome variables:
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The variables to be measured and amount of difference
between the treatment and control groups that the study
is designed to detect should be clearly defined.
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The clinical outcomes should be relevant, clearly
defined, objective, and clinically and biologically
significant
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Instruments used to measure outcome variables should
be justified. E.g., questionnaires, sensitivity and
specificity of the instruments or techniques used, etc.,
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Follow up time and length ofthe study should be
mentioned.
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Randomization and Blinding:
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By randomization the subjects have an equal and
independent chance of receiving any of the treatment
modalities.
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Similar in regard to clinical and socioeconomic
factors that may affect the treatment outcome. And
diminishes the investigator and patient bias.
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Blinding: Single, Double or Triple blinding. This
Improves the validity ofthe study.
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Statistical analysis:
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Errors in statistical analysis of data ate commonly
encountered and invalidate the study
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7. Results:
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Data should be presented in a clear and understandable
format.
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Original data should be presented in case ofrequest from
the reader.
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Data should present the actual numbers rather than
percentage values since this can be use for the
calculation purposes or the readers own analysis.
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Reasons for termination of study or reason of drop outs
can be mentioned.
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Study validity whether the result was actual treatment
related consequence and can it be generalized.
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8. Conclusions/ Discussions:
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Interpretation of data and how it relates to the clinical practice.
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Consistent to the results and the initial study question.
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Study limitations can be mentioned
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9. References:
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Used by the authors for support of the study.
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Limit the citing of own research efforts and publications.
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10. Acknowledgments:
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Sources of funding and other support.
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Individuals who contributed to the research effort but do not
qualify for authorship.
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Multicentre trials the investigational sites participating in the
study should be listed.