EBP final Flashcards

1
Q

evidence based practice

A

practice using best available evidence, patient preference and clinical judgement

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2
Q

EBP components

A
  1. research based information
  2. clinical expertise
  3. patient preference
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3
Q

EBP barriers

A
  1. individual
  2. organizational
  3. research related
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4
Q

individual EBP barriers

A

resistant to change
lack value / knowledge of EBP
lack of skills to obtain evidence

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5
Q

organizational EBP barriers

A

resistant to change
lack resources to access evidence

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6
Q

research related EBP barriers

A

communication gap b/t researcher and clinician
writing associated with reports
lack of telling research findings

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7
Q

research

A

systematic study that leads to new knowledge / solutions to problems or questions

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8
Q

quality improvement project

A

structured continuous activity designed to improve how care is delivered to pts

-change at systematic level

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9
Q

research difference

A

-generates new knowledge
-research question
-participants
-describe phenomenon, find relationship, test intervention
-evaluates findings in light of research question

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10
Q

EBP difference

A

-applies new knowledge to care
-based on literature evidence
-clinical question
-patients
-change practice in clinical setting
-evaluates change based on pt outcomes

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11
Q

impetus for change

A
  1. new knowledge
  2. safety concern
  3. healthcare outcomes
  4. healthcare cost
  5. societal need for professional nursing
  6. conferring with others
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12
Q

overcoming change barriers

A
  1. engage stakeholders
  2. engage admin
  3. culture of safety
  4. care bundles
  5. interprofessional collaboration
  6. overcome research barriers
  7. ensure nurses meet EBP competencies
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13
Q

knowledge translation

A

collaborative process that includes
-synthesis
-dissemination
-exchange
-ethically sound application of knowledge

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14
Q

change process attributes

A
  1. collaboration
  2. action
  3. receptivity
  4. process
  5. translation
  6. improved health outcomes
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15
Q

hierarchy of evidence

A

seven level scale used to rate strength of evidence

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16
Q

level I

A

highest quality of evidence

-summarizes more than one study
-synopses
-meta-analysis
-systematic reviews
-clinical practice guidelines

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17
Q

level II

A

randomized control trials

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18
Q

level III

A

quasi-experimental designs

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19
Q

level IV

A

no manipulation of IV

-correlational design
-cohort study
-case control study
-quantitive findings from mixed method

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20
Q

level V

A

consists of synthesis

-integrative reviews
-metasynthesis

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21
Q

level VI

A

descriptive research

-descriptive survey design
-qualitative findings from mixed method
-single qualitative studies
-EBP projects
-quality improvement projects
-case studies
-concept analysis

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22
Q

level VII

A

evidence from authority opinions, reports of expert committees, manufacturer’s recommendation

-narrative reviews

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23
Q

meta-analysis

A

estimates effect of intervention by using statistical methods to analyze data from published and unpublished studies

**study about studies!!

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24
Q

systematic review

A

systematic synthesis of research findings from experimental and quasi-experimental studies on a clinical problem

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25
Q

quasi-experimental

A

has manipulation of the IV but lacks randomization of experimental and control groups

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26
Q

mixed method design

A

combines quantitative and qualitative data

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27
Q

correlational design

A

nonexperimental design used to study relationships b/t two or more variables

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28
Q

cohort study

A

participants are selected based on their exposure to a particular factor

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29
Q

case control

A

participants are grouped on presence / absence of particular disease

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30
Q

integrative review

A

scholarly papers that include published nonexperimental studies to answer clinical question

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31
Q

metasynthesis

A

systematic review of qualitative studies

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32
Q

narrative review

A

papers based on common / uncommon elements of work without concern for research methods, design, or setting

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33
Q

research types by aims

A

descriptive
explanatory
predictive

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34
Q

descriptive research

A

no intervention, description of natural setting

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35
Q

explanatory research

A

explains relationships among variables

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36
Q

predictive research

A

predicts differences with intervention

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37
Q

research types by method

A

qualitative
quantitative
mixed method

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38
Q

qualitative research

A

non-numerical, gets meaning from words

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39
Q

quantitative research

A

uses statistics, presented in graphs / tables

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40
Q

mixed method research

A

combines quantitative + qualitative

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41
Q

research types by time

A

longitudinal
cross sectional

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42
Q

longitudinal research

A

data is collected at multiple points

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43
Q

cross sectional research

A

data is gathered once / period of days

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44
Q

inductive reasoning

A

moves from particular to general

ex: daisy is a swan and white, danny is a swan and white, dante is a swan and white —–> all swans are white

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45
Q

deductive reasoning

A

moves from general to particular

ex: all swans are white –> daisy is a swan —-> daisy is white

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46
Q

research article

A
  1. title
  2. abstract
  3. keywords
  4. introduction
  5. literature review
  6. method
  7. result
  8. discussion
  9. conclusion
  10. references
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47
Q

abstract

A

100-150 words , brief overview of study

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48
Q

keywords

A

5-10 keywords that represent the article

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49
Q

introduction

A

background of research problem
purpose of study - address significance of study

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50
Q

literature review

A

previous recent studies - what is known about the problem

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51
Q

method

A

study design
sample
measurement / tool
process of data collection
analysis method

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52
Q

results

A

findings from data analysis

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53
Q

discussion

A

interpretation of results, any limitations

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54
Q

conclusion

A

summary of findings, suggestions, implications

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55
Q

in APA citation what is italicized….

A

name of periodical
volume #

***do not italicize the issue number

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56
Q

research question

A

comes from…
1. personal clinical experience
2. professional literature / previous evidence
3. current nursing theories
4. national initiatives

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57
Q

research question W5H1

A
  1. who
  2. what
  3. when
  4. where
  5. how
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58
Q

formulating a research question

A

-population
-setting
-problem
-intervention / solution
-method

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59
Q

hypotheses

A

formal statement about expected / predicted relationships b/t two or more variables

**must be testable and measurable

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60
Q

associative relationship

A

type of relationship where one variable changes the other one does as well

**can be positive or negative

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61
Q

causal relationship

A

when one variable determines the presence / change in another

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62
Q

simple hypothesis

A

describes relationship b/t only TWO variables

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63
Q

complex hypothesis

A

describes relationship b/t THREE or more variables

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64
Q

null hypothesis

A

no relationship between variables exists

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65
Q

research hypothesis (alternative)

A

there is a existing relationship between variables

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66
Q

variables

A

can be measured
-directly : BP, WBC count, RR
-indirectly : questionnaires or scales

67
Q

independent variable

A

influences the DV

68
Q

dependent variable

A

is influenced by the IV

69
Q

confounding variable

A

interferes with the relationship between the IV and DV

70
Q

population

A

refers to all members of a group of interest whom you intend to generalize the results of your study

71
Q

accessible population

A

part of population you can access

72
Q

sample

A

part of population that you will investigate

73
Q

sampling frame

A

list of all possible elements in the accessible population

74
Q

sample must represent…

A

the population to maximize generalizability and reliability

75
Q

probability sampling methods

A
  1. simple random
  2. systematic sample
  3. stratified sample
  4. cluster sample
76
Q

simple random sampling

A

randomly selecting elements from accessible population

77
Q

probability sampling

A

occurs when elements in accessible population have equal chance of being selected for the study

78
Q

stratified random sampling

A

selecting elements from accessible population that has been divided into groups (strata)

79
Q

cluster sampling

A

selecting elements from larger to smaller subsets of accessible population

80
Q

systematic random sampling

A

every “kth” element is selected from a numbered list of accessible population , starting point on list is randomly selected

81
Q

nonprobability sampling methods

A
  1. convenience sampling
  2. quota sampling
  3. snowball sampling
  4. purposive sampling
82
Q

convenience sampling

A

elements are selected because they are easy to access

83
Q

nonprobability sampling

A

does not require random selection of elements

84
Q

quota sampling

A

selection of elements from accessible population that has been divided into groups

85
Q

purposive sampling

A

used in qualitative studies to select distinct group of people who have lived the experience or expertise in what is being studied

86
Q

snowball sampling

A

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

87
Q

recruitment

A

process of contacting / enrolling participants in a study

88
Q

recruitment process

A

-must screen participants based on inclusion / exclusion criteria
-methods such as flyers, ads, emails, letters
-participants must represent population
-maximize retention
-check why some individuals did not participate

89
Q

research process steps

A
  1. identify question
  2. conduct literature review
  3. identify theoretical framework
  4. select research design
  5. implement study
  6. analyze data
  7. draw conclusion
  8. tell findings
90
Q

level I-IV studies

A

quantitative studies

91
Q

level V-VII

A

qualitative / descriptive studies

92
Q

level I and V

A

synthesis (secondary) study

93
Q

level II, III, IV, VII

A

individual (primary) study

94
Q

effective searching

A

-database : NO sentences
-major concepts : keywords / PICO
-synonyms
-subject headings
-limits

95
Q

qualitative research characteristics

A
  1. extensive data collection : months - years
  2. occurs in natural setting
  3. researcher is key instrument
  4. data obtained via multiple methods
  5. emergent design
  6. holistic account
96
Q

qualitative data collection

A

-interviews
-observation
-documents

97
Q

purposive sampling

A

method to recruit specific persons who could provide inside information

**qualitative data

98
Q

phenomenology

A

qualitative research describing lived experiences to achieve understanding from participants perspective

99
Q

grounded theory

A

develop a theory grounded from data in the field
-studies a process, interaction, action involving many individuals
-no set sample size

100
Q

ethnographic research

A

describes a culture, study groups (immersing yourself into culture)

101
Q

historical research

A

based on documentation of sources, used to examine events / people to understand the past

102
Q

qualitative interviews

A

structured vs. semistructured

103
Q

structured interview

A

going in with a script and cannot go off of it

104
Q

semi-structured interview

A

going in with a plan but can branch off and ask your own questions

105
Q

qualitative research ethics

A

-do not pressure participants
-respect cultures
-respect sites
-do not “use” participants

106
Q

qualitative evaluation

A

-prolonged engagement / persistant observation
-triangulation
-peer debriefing
-member checking
-negative case analysis
-reflexivity

107
Q

control

A

ability to manipulate / regulate / statistically adjust for factors that can affect dependent variable

108
Q

manipulation

A

treatment / implementation / IV in a study to determine effect on DV

109
Q

bias

A

influence that distorts the results of the study

110
Q

random assignment

A

equal chance of being assigned to either the treatment or control group

111
Q

single blinding

A

participants do not know which study group they are in

112
Q

double blind

A

blinding both experimenter and participants

113
Q

experimental (true) research

A

designs involving random assignment to groups and manipulation of the IV

114
Q

correlational research

A

non-experimental research that is used to study relationships between two variables

115
Q

experimental design includes…

A
  1. manipulation
  2. control
  3. randomization
116
Q

experimental design strength

A

gives level II evidence
good in examining cause and effect relationship

117
Q

nonexperimental design

A

IV is not manipulated
subjects not random
no control group
no cause and effect claims

118
Q

nonexperimental design use…

A

describing
explaining
predicting

119
Q

data collection plan

A
  1. set timeline
  2. determine collection method
  3. develop data management plan
120
Q

data analysis process

A
  1. prepare data and enter into computer
  2. clean data file
  3. run descriptive stats
  4. run inferential stats
121
Q

categorical measurement

A

nominal and ordinal

122
Q

nominal

A

different in name only, CANNOT rank or order

**weakest kind of measurement

123
Q

ordinal

A

can be ranked or ordered, still in categories

124
Q

continuous measurement

A

interval and ratio

125
Q

interval

A

fixed unit of measurement WITHOUT meaningful zero

126
Q

ratio

A

fixed unit of measurement WITH meaningful zero

ex: money , age

127
Q

descriptive statistics

A

numbers that summarize data, does not generalize beyond data

-mean, median, mode, percentage, standard deviation, range

128
Q

inferential statistics

A

make predictions about a population based on sample

129
Q

chi-squared test

A

nominal and ordinal data

130
Q

t-test

A

compares the mean of the two groups

131
Q

analysis of variance

A

used for more than 3 groups

132
Q

pearson’s r test

A

two variables of interval or ratio data

133
Q

multiple regression

A

many IVs to only one DV

134
Q

alpha

A

significance level
MUST be identified before running stats

0.05 = 5%

135
Q

P-value

A

probability of obtaining results at least as extreme as results actually observed

136
Q

p < 0.05

A

statistically significant , REJECT THE NULL

137
Q

p > 0.05

A

statistically not significant , do not reject the null

138
Q

PICOT

A

-patient population
-intervention of interest
-comparison of interest
-outcome of interest
-time

139
Q

study validity

A

measure of truth / accuracy of a claim
-ability to accept result as logical, reasonable, justifiable

140
Q

internal validity

A

degree to which one can conclude that the IV produced changes in the DV

141
Q

internal validity threat

A

-selection bias
-history effect
-maturation
-mortality
-testing effect
-instrumentation

142
Q

history effect

A

effects of unexpected events that take place concurrently of IV

143
Q

instrumentation

A

inaccurate data collection / changes in methods of measurement / collector b/t two data points

144
Q

construct validity

A

if selection or measurement measures concept accurately

145
Q

construct validity threats

A

-bias
-confounding variable
-reactivity
-experimenter expectancies

146
Q

reactivity (hawthorne effect)

A

participants change their behavior or performance in response to what is being observed

147
Q

statistical conclusion validity

A

degree to which results of statistical analysis reflect true relationship among IV and DV

148
Q

type 1 errors

A

rejecting a true null hypothesis

149
Q

type 2 errors

A

accepting a false null hypothesis

150
Q

external validity

A

degree to which results of the study can be generalized to other participants, settings, times

151
Q

external validity threats

A

-selection effects
-interactions

152
Q

selection effects

A

sample does not represent population

153
Q

reliability

A

consistency of a research study or measuring test

154
Q

study appraisal

A

studies will have flaws / limitations
-evidence is powerful and effective , need to consider feasibility based on policy / pt preference / ethical issues

155
Q

belmont report

A
  1. respect for persons
  2. beneficence
  3. justice
156
Q

respect for persons

A

individuals should be treated as anonymous
-recognition that persons with diminished autonomy are entitled to protection

157
Q

beneficence

A

do no harm
-maximize possible benefits and minimize harm

158
Q

justice

A

equity or fairness in distribution of burdens and benefits

159
Q

full review

A

necessary when vulnerable populations are involved or when risks are not minimal

160
Q

expedited review

A

option when there is minimal risk to human subjects

161
Q

minimal risk

A

probability and magnitude of discomfort are not greater than those of encountered in daily life during performance of routine physical / testing

162
Q

synthesis

A

written paper including discussion from several sources

-shows connection, patterns, themes from a source that have relationship to one another

163
Q

writing a synthesis

A
  1. start with summarizing info from the sources
  2. think of similarities and differences
  3. compare and contrast their ideas giving credit to their own ideas and your own