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Focuses on the interaction between people and their physical and sociocultural environments
socioecological model
5 levels of the socioecological model
1. intrapersonal/individual
2. interpersonal
3. organizational
4. community
5. policy
intrapersonal/individual level
knowledge, attitudes, beliefs
interpersonal level
family, friends, social networks
organizational level
businesses, schools, workplaces
community level
norms, cultures, availability of resources/opportunities
policy level
state, and national laws and policies
ecological perspective
health equity
Everyone has a fair and just opportunity to be as healthy as possible
health disparities
Population or group level differences in health
What are the root causes of health disparities?
Result of historic and ongoing interplay of inequity structures, policies, and norms that shape lives
Social determinants of health
The conditions in which people are born, grow, live, work, and age
5 SDOH
1. Economic stability
2. Education access and quality
3. Healthcare access and quality
4. Neighborhood and built environment
5. Social and community context
Needs assessment
-a way to understand the needs and strengths of a population
-shows the gap between current conditions and where we want to be
Assets assessment
identifies stregnths/resources/supports that are already in place, highlights stregnths (eg. mapping existing parks and recreation facilities)
Generalizability
How well does the study sample represent the selected population?
Primary data
Information that stems from its original source, such as a first-hand account
Examples of primary data
letters, autobiographies, focus groups, blogs, speeches, stories, photographs
Secondary data
Information that is not first-hand; it is information that is drawn from an unoriginal source
Examples of secondary data
county health reports, hospital discharge data, national databases
Intangible concepts
non-physical qualities or ideas that you can't physically hold but still have value
Tangible concepts
physical things you can touch and see
Objective needs
needs are based on evidence of incidence and prevalence data
Subjective needs
what individuals report based on their personal experience and views
Ex. a neighborhood walkability score is constructed using traffic patterns, crime stats, and mapping data
objective needs
Ex. residents are asked, "how walkable is your neighborhood?"
subjective needs
Variable
single measure that can take on more than 1 value
4 types of variables
nominal, ordinal, interval, ratio
variables can be placed in a category or not; variables are sorted into categories
nominal
the variables are ranked along a continuum, but the distance between the ranks are not necessarily equal
ordinal
variables are continuous and not based on categories. Distance (intervals) between the variables are equal
interval
measurements with a true zero point
ratio
Ex. eye color, marital status, type of animal
nominal
Ex. health status- excellent, very good, good, fair, poor
ordinal
Ex. SAT scores, dates, IQ scores
interval
Ex. height, weight, age
ratio
Reliability
measure consistently provides virtually the same answer every time it’s used
How to determine reliability?
-test-retest reliability
-internal reliability
-split-half
scores on a measure are consistent over at least 2 distinct points in time
test-retest reliability
computing the inter-item correlation between all items constituting the scale
internal reliability (consistency)
items from the scale are randomly "split" into sets and then scores from one set are correlated with scores from the other set
split-half method
Validity
extent to which the measure actually captures the intended construct (accuracy)
Ex. The dog weighs 24 pounds
1. The scale reads- 17, 18, 17
reliable, not valid
Ex. The dog weighs 24 pounds
2. The scale reads- 23, 24, 24
reliable, valid
How to determine validity
-face validity
-content validity
-construct validity
-criterion validity
Measures whether a test looks like it tests what it is supposed to test.
face validity
Does it fully measure the construct, how much does it measure
content validity
Ability of a measure to provide actual findings that are consistent with underlying theory
construct validity
Compare assessed construct to an actual behavior outcome, most demanding of the four methods
criterion validity
first step to measurement=
define what is being studied (concept)
generalized properties or characteristics associated with objects, events, people
concept
Example of a concept
characteristics of a person
measure someone's weight, height, physical activity levels, record the color of eyes or hair color; Likely to yield better precision
direct observations
use a questionnaire with questions about weight, height, etc.
indirect observations
variables are assessed through official records
records review
variables measured by means of biological methods or "biomarkers"
biologically assessed variables
a person's own accounting of their beliefs
self report
collects real-time data from individuals in their natural environment, which provides a more accurate reflection of their behavior and experiences
ecological momentary assessment
assessments designed to capture stressors, smoking behavior, withdrawal, and craving scores
daily electronic diary methods
a rich and complex understanding of a topic from the perspectives of the people experiencing the issue
qualitative research
What is the purpose of qualitative research?
to understand the participant's perspective
Qualitative data collection methods-
observations, interviews, focus groups
Areas to include in a budget:
-personnel
-materials
-incentives
-equipment
-travel or space rental
portion of the cost that is directly expended in providing a product or service; expressed as the actual # of dollars expected to be spent
direct cost
portion of cost that is indirectly expended in providing a product or service.
indirect cost
Ex. wages, salaries, supplies
direct cost
Ex. cost of telephones, utilities, insurance, space, equipment maintenance
indirect cost
the systematic process of assessing the quality, coherence, and usefulness of your needs-assessment design and outcomes
evaluation
Purpose of an evaluation in a needs assessment
to ensure your assessment produces reliable, valid, and actionable data that accurately reflect community needs
5 lens of evaluation
1. alignment
2. feasibility
3. data quality
4. representation
5. utility
Alignment
do goals, objectives, and tools match?
Feasibility
is the plan realistic?
Data quality
are the responses trustworthy and complete?
Representation
did you reach the people you needed?
Utility
will results be useful to others?
Illustrate the connection between your group's resources, planned intervention, and expected outcomes
logic models
resources, funding, staff, facilities, volunteers
inputs
community engagement activities, recruitment, data collection
activities
direct results of activities, measurable and tangible
outputs
short term, intermediate, long term
outcomes
long term changes
impact
2 psychometric properties
reliability and validity
a decision-making method that begins and ends by having group members quietly write down and evaluate ideas to be shared with the group
nominal group technique
May not remember the frequency of these behaviors or even if they have engaged in the behavior at all
inaccurate recall bias
Recalling how often behaviors occurred based on a personally created reality
selective recall bias
Qualitative data results are used to:
-Formulate research questions
-Build knowledge
-Design policies
-Generate hypotheses
-Lay the foundation for further research
Concerned with discovering facts, assumes fixed measurable reality, collected through measurements
quantitative research
Quantitative data will help us answer:
-Descriptive questions
-Relationship questions
-Comparison questions
-Evaluative questions
Qualitative data will help us answer:
-Experiences and perspectives
-Motivations and reasonings
-Processes and social interactions and relationships
-Context and social factors
Characteristics of qualitative research:
-naturalistic
-descriptive data
process focused
-inductive approach (patterns)
-finding meaning is the goal
Why qualitative research?
-Exploratory
-Formative (understand target population, guide interventions)
-Supplement or interpret data
a structured technique used to generate creative and innovative alternatives or ideas. generate ideas
nominal group
A small group of individuals who are led in discussion by a professional consultant in order to gather opinions on and responses to candidates and issues. attitudes and beliefs
focus group
descriptive word or short phrase used as a label and attached to units of data
code
an idea or notion that is suggestive of the data
concept (codebook)
codebook built from ground up, grounded theory
inductive coding scheme
codebook built from a priority category, theory driven
deductive coding scheme
Parts of a data collection plan
what, how, who, when, where, quality and ethics