1/56
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Mixed Method Research
Using both qualitative and quantitative data to understand something
Qualitative data is helpful for these three factors that influence health outcomes
Cultural, social, and contextual
Quantitative data is helpful for these three things
Quantifying the prevalence of a health issue, identifying risk factors assessing the effectiveness of interventions
Research design process (9 steps)
Identify the problem and define a question/specific aims/hypothesis
Review literature
Revise question/aims/hypothesis
Select study design
Plan data analysis
Develop and submit the project description to an Institutional Review Board for approval
Collect data
Analyze data
Present results
Descriptive Research and what it can be used for
Providing a detailed account and summary of the characteristics, behaviors, or patterns within a given population.
Prevalence of a disease, distribution of health behaviors, and demographics of a community
Exploratory research
Investigating new and uncharted areas within public health. Goal is to provide pathways for future research.
Identifying potential risk factors
Relational and casual research
Aims to explain the relationship between variables and investigate if changing a variable modifies a behavior. Helps us understand how interventions impact health
PICOT
Patient/Population/Problem (who/what)
Intervention (action/treatment that will be tested)
Comparison/Control (what you are comparing to)
Outcome (what is the desired result)
Time Frame (how long to reach the outcome)
Specific aims
The purpose of a specific research study that establishes well defined parameters
Generalizability
the capacity of a study’s methods to produce comparable results across different populations and contexts. This is why random sampling is important, otherwise findings can’t be applied to a larger population.
Phenomenology
Seeks to uncover the essence of phenomenon’s experienced by people
Grounded theory
Aims to develop theories grounded in the data collected, allowing new concepts and insights to emerge
True or False: Study design choice is crucial to conducting a study that meets the specific aims
True
True or False: research questions have to be entirely novel
False - research can sometimes be replicated in a new population
Randomized controlled trials
Randomly assigning individuals to an intervention or control group
Single Blind
Participants do not know which treatment they are receiving
Double blind
Participants and the researchers don’t know who is receiving what treatment
Saturation
When new data ceases to provide additional insights or perspectives. This means the researcher has gathered a sufficiently rich amount of information.
Privacy/Confidentiality and who ensures it
protection of personal information, ensuring the participants choose what information they want to share, no identifying information is shared. Ethical guidelines and IRBs are responsible for providing protection through evaluation research protocols.
Descriptive statistics
summarizes key features. Central tendencies, variability, distribution of variables, means, max/min, graphing, tables
Inferential statistics
allows researchers to make inferences and draw conclusions based on a sample of data.
Hypothesis testing, regression analysis, analysis of variance
Spatial analysis
Helps researchers examine geographic patterns of health outcomes and explore potential environmental/social determinants
Data immersion
Researchers familiarizing themselves with the data through repeated readings/viewings
Coding
Labeling and categorizing segments of data based on recurring themes or concepts
True or False: statistics has developed various concepts that can indicate the quality of a study or test the degree of certainty that can be expected of its results
True
In order for screening tests to be beneficial they need to be:
highly sensitive and highly specific
Statistics are used in public health to analyze the following situations: (3 things)
Risks, benefits, and costs
The National Center for Health Statistics (NCHS)
the primary agency that collects, analyzes, and reports data on the health of Americans. They collect data from local and state records and they conduct surveys
True or false: contradictory results from epidemiologic studies are uncommon
False
Overdiagnosis bias
when tumors detected by screening are not likely to progress to a stage that causes symptoms and becomes life threatening
Crude rate
Raw exact rate
Adjusted rate
Adjusts the rate with a statistical calculation to be able to compare two rates with equivalence
Vital statistics
Birth, death, marriage, divorce, spontaneous fetal deaths, and abortions
American Community Survey
Collects information about education, housing, employment, transportation, language, ancestry, and more
Behavioral Risk Factor Surveillance Survey
A self-reported survey conducted by the federal government that obtains information on health-related behaviors
Publication bias
trials with positive results were published but trials with negative results were not
Cohort study
Asking a large group of people detailed questions, tracking them for 5 years, and comparing them with another group that has been living a different kind of lifestyle
Case control study
Interviewing two different types of people and trying to determine what causes their differences
Selection bias
When the control group is too similar to the treatment group
Recall bias
When the case and control groups systematically report data differently even if they had the same exposure
YPLL
Years of potential life lost. Measures premature mortality
Epidemiology
The study of patterns of disease occurrence in human populations and the factors that influence these patterns.
Endemic rate
The anticipated level of a disease in a population
John Snow
He figured out that cholera was tied to drinking water by analyzing where cholera deaths occurred and determining where each household received their water from.
Epidemiological surveillance
Requiring certain notifiable diseases to be reported as soon as they are diagnosed. This allows providers to take action.
Tuberculosis, hepatitis, measles, and syphilis
Epidemiologic Investigation
Determining where a disease outbreak originated. The who, what, where, and when. Also known as shoe leather epidemiology.
Incubation period
The period of time between exposure and the appearance of symptoms
This disease has been the leading cause of death in the US since the 1920s
heart disease
Epidemiologists use this to study and measure health
Health outcomes, not disease and illness
Incidence
The rate of new cases of a disease in a defined population over a specified period. The probability that a healthy person will get that disease
Prevalence
The total number of causes in a defined population during a specific time period
Descriptive epidemiology, prospective studies, and retrospective studies
Generates hypotheses that formal epidemiologic studies aim to confirm or disprove.
Happen in the present and monitor groups into the future
Dive into the past to identfy causes of diseases that currently affect people
Intervention Studies
Laboratory experiments that aim to assess the efficacy of a new treatment or preventive measure
For a drug to be considered effective it has to have:
a higher response rate than the placebo
Relative Risk
The ratio of the incidence rate for persons exposed to the factor to the incidence rate for persons in the unexposed groups. Risk of 1 means there is no association between exposure and result. Greater thank 1 indicates an increased risk
Case Control Studies
Starting with people who are already ill and looking back in time to determine their exposure. Tend to be more efficient than cohort studies because they focus on fewer people.
Odds ratio
A ratio of two ratios that estimates the strength of the association between exposure and disease