QUALITY ENHANCEMENT LEARNING
PROVIDER HANDBOOK
By aggregating data, you can more easily identify areas that are not
distinctive but more generally affect the quality of your services. When you
look at individual data (e.g., one critical incident report for a person), you
respond to the immediate safety needs and initiate strategies to reduce the
chance of a similar incident occurring in the future for that person. However,
if several similar types of critical incidents are occurring for several of the
people you support, you will need to take a more comprehensive approach,
such as developing staff training programs or changing policies and
procedures to prevent these types of critical incidents from reoccurring.
Analyzing Data
What is data analysis?
Data analysis means to process information or data that has been collected in
order to draw conclusions. It involves systematically applying logical or
statistical techniques to describe, summarize, and compare data using
narratives, charts, graphs, or tables. Analyses often involve looking for trends
and patterns.
What do we mean when we say we are looking for trends and patterns in the
data?
Trending means examining data over time to identify general drift or
tendencies for increases or decreases in the data. For example, have
mortality rates been decreasing or increasing over the past several years?
When we look for patterns, we are looking for relationships. For example, are
people reporting less satisfaction with availability of medical services in the
rural areas that you serve as compared to the urban areas? Are there
differences in satisfaction with your services depending upon which staff
members people interact with?
Another important factor to consider as you are analyzing your data for
patterns is convergence of data, that is, looking for common themes among
different data sources. For example, if survey data show that people are not
satisfied with your services, what does the data on staff turnover, attendance,
staff training, and complaints look like?
A process that may be used to help you identify underlying factors that have
contributed to or have directly caused a major adverse event or systems
failure is called Root Cause Analysis (RCA). A detailed description of
everything that happened before, during and immediately after the adverse
event occurred forms the initial stages of the RCA. Flowcharts may be used
to provide visual illustrations of the interrelationships between the activities of
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