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Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Run Charts

Run Charts

Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...

The R Chart

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...

Pareto Chart

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

Interpreting R Charts

Interpreting R Charts

R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...

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Streamlining the Medication Review Process by Use of a New Review Tool: CHART.

Quincy Ostrem¹, Stephen Carlson, Brady Hamilton

¹Banner Health, Phoenix, Arizona, USA.

The Consultant Pharmacist : the Journal of the American Society of Consultant Pharmacists

|January 17, 2018

Summary

The Carlson-Hamilton Adult Medication Review Tool (CHART) streamlines medication reviews for geriatric patients, reducing medication burden and increasing review requests. This tool aids pharmacists in making better recommendations for cognitive care.

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Area of Science:

Geriatric Pharmacy
Behavioral Health
Medication Management

Background:

Geriatric care requires efficient medication review to address cognitive presentations.
Behavioral health facilities often manage patients with complex medication needs.

Purpose of the Study:

To introduce the Carlson-Hamilton Adult Medication Review Tool (CHART) for improving geriatric medication review.
To streamline the medication review process and identify potential issues impacting cognitive function.

Main Methods:

CHART was developed and implemented in a 155-bed behavioral health facility with a geriatric unit.
The pharmacy team measured changes in medication burden and medication review requests.
The tool was designed to simplify and streamline medication reviews for pharmacists and student pharmacists.

Main Results:

Implementation of CHART led to a decrease in overall medication burden for geriatric patients.
There was a concurrent increase in the number of medication review requests submitted after CHART implementation.
The tool facilitated more efficient medication review and recommendation processes.

Conclusions:

CHART effectively streamlines medication review for pharmacists and student pharmacists.
The tool contributes to improved geriatric care by optimizing medication management.
CHART aids in identifying medication-related issues relevant to cognitive status and clinical decision-making.