11 4 mean of ppis 7 95 mean of alginate 73 33 percentage with more tha
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11.4= mean of ppis
7.95 mean of alginate
73.33%= percentage with more than 2 alginate prescriptions/n 19:12
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Audit Report Template PHA5015.d...
PHA5015 - Integrated Pharmacy
Science & Practice
Research & Scientific Dissemination
UB Number:
Audit Report
Faculty of Life Sciences
Audit Report Proforma
Delete all text in GREY before submission
1. Introduction
Provide details on the problem, the urgency and the relevant
standards for this audit.
2. Method
Describe how you will collect and analyse the data.
3. Results
Provide appropriate analysed data in tables, graphs or other
suitable format with some description of your results.
4. Discussion
Compare your results with the quality standards. Explore
potential explanations for your results.
5. Action plan and recommendations
Provide a bullet point list of your recommendations that must be
related to your data and interpretation.
6. References
Provide at least TWO references to support your proposal. These
must be provided in the BRADFORD HARVARD format
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Inbox This page contains the key information for the Audit
Report, which is component 005 of the PHA5015
module and contributes 5% to your overall module
mark. You must pass this assignment (at minimum
40%) in order to pass the module.
You will need to to complete a 1000 word audit
report, using pre-defined datasets. You will analyse
and interpret the data, and determine an action plan
of what the appropriate steps should be based on
your findings.
Your instructions are provided in the brief below,
and will be supported with an introductory lecture.
You will also be expected to attend a workshop
(please see your timetables) which will give you
practical support in analysing your data. 19:12
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PHA5015 Audit Report
2023-4_ACYR Integrated Pharmacy Science and Practice
ASSIGNMENT BRIEF:
You must prepare a 1000 word audit report using
the template provided. This is an individual
assignment. Your team will be given a dataset, and
you can work together on the analysis of this
dataset, but the assignment you submit must
be your own individual work. It will be
processed through a similarity checker (Turltin).
Background
The national NHS England team have asked
Integrated Care Systems (ICSs) to review their drug
budget for the current financial year and your ICS
has announced several projects in their "Quality,
Innovation, Productivity and Prevention" (QIPP)
programme for the current financial year.
One of the priority areas identified by NHS England
has been around management of reflux. Recent
data has found that many patients are being co-
prescribed Proton Pump Inhibitors (PPIs) in
addition to alginate antacids (e.g. GavisconⓇ) when
there is no clinical need.
Preliminary data would suggest that on average,
practices within your ICS are within the highest
quintile (top 20%) of practices in England for this
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PHA5015 Audit Report
2023-4_ACYR Integrated Pharmacy Science and Practice
practices within your ICS are within the highest
quintile (top 20%) of practices in England for this
practice which may be wasteful, or suggest that
patients with reflux are inadequately managed.
Task 1: Analyse the data
All practices within the local ICS have reported on
patients who are prescribed PPI and/or alginate
antacids within the last 12 months. You have been
provided a data set for one of the practices.
Complete the following audit activity in class,
working with your team to process the data. We
anticipate that you will work on this during
the TBL workshop (on either 24th or 25th
January, depending on your team). You can do
the analysis any time, but we recommend making
use of these sessions for the analysis as staff will be
present to help with any issues.
1. Calculate the mean number of PPI issues in 12
months.
2. Calculate the mean number of alginate
antacid issues in 12 months.
3. Determine the percentage of patients who
order more than TWO alginate prescriptions
in 12 months.
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Introduction - set the scene; what are we
looking at, why is this an issue worth carrying
out an audit for?
Methods - Imagine you were doing this audit
completely yourself, not that we gave you the
data. Set out what data was collected in order
to carry out the audit, and how you analysed
this (note this is not the results of your
analysis, but the methods of how to do the
analysis).
You should probably also set out here what the
target is you are aiming for; if you remember
we said in the introduction session that a key
thing about audits is that you are assessing
performance against a set standard, so what is
the standard that you are aiming for? Note that
we've not told you a set standard you are
aiming for, we are looking for you to set a
sensible standard. We've given you some clues
in the questions we asked you to find answers
to:
What is the MEAN number of PPI issues
over 12 months?
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