Module 2 Flashcards

1
Q

Level 1 hierarchy of evidence

A

Level I evidence summarizes more than one study.
Level I includes summaries, synopses, meta-analyses, systematic reviews of randomized controlled trials (RCTs), and clinical practice guidelines.

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2
Q

Summaries

A

Level I
Best practice recommendations based on an appraisal of information about a particular practice question.
After stating a clinical question, key findings are identified and ranked.
Summaries end with best practice recommendations. Usually limited to one to three pages, summaries are particularly helpful for nurses to quickly find evidence for practice in their clinical settings.

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3
Q

Synopses

A

Level I
A brief description of evidence that provides an overview of key points of evidence from multiple sources. Basically, a synopsis is a shorter version of a summary.
Synopses look like abstracts and are typically only a paragraph. The difference between an abstract and a synopsis is that an abstract summarizes a single study, whereas a synopsis is about more than one study.

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4
Q

Meta-analysis

A

Level I
A research method that estimates the effect of an intervention by using statistical methods to analyze data from both published and unpublished single studies.
Because a meta-analysis involves statistical analysis, it is unique from other types of evidence in Level I. Another unique factor is that a meta-analysis can include unpublished studies, making for a more robust sample of evidence.

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5
Q

Systematic Review

A

Level I
A rigorous and systematic synthesis of research findings from experimental and quasi-experimental studies about a clinical problem.
In a systematic review, the authors will provide a very detailed account about how they searched the literature and selected studies to be included in their review. However, systematic reviews are different from meta-analyses because only published works are used and there is no statistical analysis.

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6
Q

Clinical Practice Guidelines

A

Level I
Clinical practice guidelines are statements that include recommendations intended to optimize patient care that are informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options
Various care options are based on patient subgroups and patient preferences.

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7
Q

Level II hierarchy of evidence

A

Includes one type of evidence: randomized controlled trials (RCTs).
Defined as designs involving random assignment to groups and manipulation of the independent variables, RCTs are considered the highest quality for study designs.
RCT: Clinical experimental studies that typically involve large samples and are sometimes conducted in multiple sites
The hallmark of this type of design is that participants are assigned to groups by chance, and thus the groups are equal on various characteristics.

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8
Q

Level III hierarchy of evidence

A

Includes one type of evidence: quasi-experimental designs.
Definition: Research designs involving the manipulation of the independent variable but lacking random assignment to experimental and comparison groups.
What distinguishes them from RCTs is the lack of random assignment of participants to experimental and comparison groups.
Also known as controlled trials without randomization, comparison studies, or cohort designs.

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9
Q

Level IV hierarchy of evidence

A

The evidence in Level IV does not involve manipulation of an independent variable
Includes correlational designs, epidemiological cohort and case-control studies, as well as quantitative data from mixed methods studies

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10
Q

Correlational designs

A

Level IV
Nonexperimental designs used to study relationships among two or more variables
Designed to answer the question, “Is there a relationship among the variables?”
Because there are no comparison groups and no random assignment, one cannot make claims about causality.

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11
Q

Cohort studies

A

Level IV
Epidemiological designs in which participants are selected based on their exposure to a particular factor
Designed to observe patterns of disease in populations.
Like experimental and quasi-experimental designs, cohort studies have two or more groups, but differ because there is no manipulation of an independent variable.

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12
Q

Case-control studies

A

Level IV
Epidemiological studies whereby participants are grouped on the presence or absence of a particular disease or condition and are then compared for similarities and differences
There is only observation without any intervention; therefore, researchers do not measure the amount of the exposures, nor do they manipulate individuals or the environment.

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13
Q

Mixed methods design

A

Level IV
A design that combines both quantitative and qualitative data gathering and evaluation
Findings from the quantitative part of the study would be considered Level IV, and findings from the qualitative portion of the study would be in a lower level.

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14
Q

Level V Hierarchy of Evidence

A

Evidence in Level V, like the evidence in Level I, consists of syntheses. What makes this level different from Level I is that evidence included for synthesis is lower-level evidence.
This level includes integrative reviews and metasyntheses.

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15
Q

Integrative review

A

Level V
Scholarly papers that include published nonexperimental studies in the synthesis to answer clinical questions
A strength of integrative reviews is that they involve a systematic search of the literature and include stringent criteria for selecting studies for synthesis. Through analysis and synthesis, themes and categories can be developed to answer the clinical question.

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16
Q

Metasynthesis

A

Level V
A systematic review of qualitative studies
They shed light on patient perceptions and experiences. Like systematic reviews, metasyntheses aim to identify high-quality recommendations for patient care.

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17
Q

Level VI

A

Level VI includes descriptive research. Most studies in this level answer the question, “What is it?” Studies typically involve a single group and include observation without interventions.
Although evidence in this level can help nurses better understand clinical problems, it cannot be used to make claims about cause and effect.
Single descriptive survey studies, single qualitative studies, qualitative findings from mixed methods studies, EBP projects, quality improvement (QI) projects, case series studies (epidemiologic), case studies, and concept analysis are different types of descriptive research.

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18
Q

Descriptive survey designs

A

Level VI
Nonexperimental studies that involve asking questions of a sample of individuals who are representative of a group
May have a variety of purposes, such as describing, comparing, or correlating characteristics. This is the most commonly used design for descriptive research. Data, collected through questionnaires or personal interviews, are typically about attitudes, perceptions, or attributes of individuals.

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19
Q

Qualitative research

A

Level VI
Research that uses words to describe human behaviors
Different qualitative approaches: phenomenology, grounded theory, ethnography, and historical.
Using in-depth interviews with or without observation, thick, rich descriptions can be generated about human behaviors.
Qualitative findings can also be used to develop or refine theories

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20
Q

EBP Projects

A

Level VI
An endeavor to change practice, based on best evidence, in a clinical setting
Unlike research studies, there is no requirement to be approved by an ethics board because the risk to patients is comparable to receiving usual care. Additionally, during implementation of an EBP project there is less control over factors compared to conducting research.

21
Q

Quality Improvement Projects

A

Level VI
Structured, continuous activities designed to systematically improve the ways care is delivered to patients
The focus of QI projects is on change at the system level. They are used to address issues such as workflow processes, variations in care, administrative concerns, and efficiency

22
Q

Case Series Studies

A

Level VI
An epidemiological report used to describe rare diseases or outcomes
Because the purpose of a case series study is to understand the natural progression of disease in a population, there is no control and no intervention

23
Q

Case Study

A

Level VI
A description about a single or novel event of interest
Case studies can be about topics such as a unique patient diagnosis, an unusual organizational event, or the effect of an innovative intervention.

24
Q

Concept Analysis

A

Level VI
A process that explores the attributes and characteristics of a concept
Like a systematic integrative review, these analyses are considered scholarly works because of the rigorous steps involved in the process.
Concept analyses are aimed at providing nurses a better understanding of a concept and are often used to refine or build theory

25
Q

Level VII Hierarchy of evidence

A

The lowest level of the hierarchy of evidence
Consists primarily of evidence from sources of authority, sometimes coupled with scientific evidence. In addition to narrative reviews, Level VII contains evidence from the opinions of authorities, reports of expert committees, and manufacturer’s recommendations.

26
Q

Narrative reviews

A

Level VII
Papers based on common or uncommon elements of works without concern for research methods, designs, or settings
Narrative reviews differ from systematic and integrative reviews because the search for evidence is not systematic or described in the paper

27
Q

A research study is driven by clinical inquiry surrounding a population of interest. A population (“P” in PICOT questions) describes _________
A population tends to be very large because it includes every element. Elements are ________
When elements refer to people, they are described as _______ or ________

A

The entire group of elements that meet the study inclusion criteria
Basic units of the population such as individuals, events, experiences, or behaviors
Participants or subjects

28
Q

It may be impossible, inefficient, or cost prohibitive to include an entire population in a study. Thus, it is more useful to recruit a subset of a population representative of the entire population, which is known as the _______, or a select group of elements that is representative of all eligible elements. The process of selecting this portion of the population is called ________
Before obtaining a sample, decisions are made regarding the eligibility, size, and recruitment process, which is known as the ______

A

sample
sampling
sampling plan
The purpose of the sampling plan for a quantitative study is to maximize generalizability, whereas the purpose of the sampling plan for a qualitative study is to establish credibility.

29
Q

To determine the sample of the study, the target population must be identified, which is _______
An accessible population is _______

A

The target population is the population of interest in its entirety that meets the sampling criteria. (Ex: people with diabetes)
The group of elements to which the researcher has reasonable access

30
Q

The representativeness of a sample is vital to a study. This is…
The higher the degree of representativeness, the more generalizable the results of the study will be. Being able to apply findings from a sample to the population is crucial for EBP. Generalizability, also called external validity, is…

A

The degree to which elements of the sample are like elements in the population
The applicability of the results of the study to the target population.
External validity: The degree to which the results of the study can be generalized to other participants, settings, and times

31
Q

Internal validity

A

The degree to which one can conclude that the independent variable produced changes in the dependent variable
Internal validity refers to the confidence that the independent variable caused a change in the outcome rather than other factors

32
Q

Sampling bias

A

Threat to internal validity
A threat to external validity when a sample includes elements that over- or underrepresent characteristics when compared to elements in the target population
Can introduce sampling error

33
Q

Sampling error

A

Error resulting when elements in the sample do not adequately represent the population
Sampling error is defined as the difference between data obtained from the sample and data from the entire population. This occurs when participants do not adequately represent the population, which is often the result of a sample size that is too small to represent all elements of the population

34
Q

Inclusion criteria

A

When conducting a study, researchers establish strict criteria, or rules, for determining whether an element should be included in the study. These are referred to as inclusion criteria or eligibility criteria
Inclusion criteria: Characteristics that each element must possess to be included in the sample

35
Q

Exclusion criteria

A

Characteristics of elements that will not be included in the sample
Exclusion criteria are characteristics that make such participants ineligible to participate in the study even if they meet all the inclusion criteria

36
Q

Probability sampling
Methods include…

A

Sampling method in which elements in the accessible population have an equal chance of being selected for inclusion in the study
Include: simple random sampling, stratified random sampling, cluster sampling, systematic sampling

37
Q

Sampling frame

A

A list of all possible elements in the accessible population. Elements from the sampling frame are selected at random to yield an unbiased and representative sample, making probability sampling the most well-respected type of sampling

38
Q

When researchers use randomization, which is ________, they reduce the threat of sampling bias and increase the probability that the characteristics of elements in the sample will be similar to elements of the population.

A

The selection, assignment, or arrangement of elements by chance

39
Q

Simple Random Sampling

A

Probability sampling
Randomly selecting elements from the accessible population
The most common way is using a computer program to randomly select a sample from the sampling frame.
Considered the gold standard because it is the method most likely to yield a representative sample.

40
Q

Stratified Random Sampling

A

Probability sampling
Selecting elements from an accessible population that has been divided into groups or strata
Strata must be mutually exclusive, meaning each element can only belong to one group, or stratum. Researchers identify characteristics in the population that are necessary for representativeness, typically using what is known about the population elements.
When sampling, researchers must first assign participants of the accessible population into strata. Next, participants are randomly selected from each stratum to yield a representative sample.

41
Q

Clustered Sampling

A

Probability Sampling
Random sampling method of selecting elements from larger to smaller subsets of an accessible population; multistage sampling
Useful for large geographic areas
The first step in cluster sampling involves the random selection of entire groups, or large clusters of a population, which may include schools, hospitals, counties, or states.
The final step includes random selection of participants from only those groups.

42
Q

Systematic random sampling
Determine sampling interval:

A

Probability sampling
Sampling method in which every kth element is selected from a numbered list of all elements in the accessible population; the starting point on the list is randomly selected
Sampling interval: The interval (k) between each element selected when using systematic random sampling
k = Size of sampling frame/size of sample

43
Q

Nonprobability Sampling
Methods include…

A

Sampling methods that do not require random selection of elements
Include: convenience sampling, quota sampling, purposive sampling, and theoretical sampling

44
Q

Convenience Sampling

A

Nonprobability sampling method in which elements are selected because they are easy to access
For example, a researcher who desires to conduct a study involving women who did not receive prenatal care and present for delivery at a hospital will not know in advance who these women will be.

45
Q

Quota Sampling

A

Nonprobability sampling method involving selection of elements from an accessible population that has been divided into groups or strata
Quota sampling is also a two-step process. What distinguishes quota sampling from a systematic sampling method is that during the second step, elements are not randomly selected from the strata.

46
Q

Purposive Sample

A

Nonprobability sampling method used in qualitative studies to select a distinct group of individuals who either have lived the experience or have expertise in the event or experience being studied; sampling method to recruit specific persons who could provide inside information

47
Q

Researchers often use snowball sampling, also known as network sampling or chain sampling to obtain a purposive sample. This is…

A

Recruitment of participants based on word of mouth or referrals from other participants

48
Q

Theoretical sampling is another type of purposive sampling. It is…

A

Purposive sampling method used in grounded theory to collect data from an initial group of participants