Note; All the points below should be covered in this assignment.
Graph, data and table should be attached.
Length: 2000 words. (NOTE: Executive Summary, References and Appendices are not included in the word count)
The purpose of the assignment is to prepare a workforce plan for one health organization. The Health Organization Workforce Plan will have to include all of the relevant sections of a Workforce Plan as outlined in the readings links. The Workforce Plan needs to include recommendations on strategies to address key workforce issues.
The assignment will be scaffolded so that readings will support the development of the Health Organization Workforce Plan. This includes key topics relevant to the development of the workforce plan such as preparing an Environmental Scan, analyzing the organizations workforce data set, identifying critical issues and developing strategies to address the issues identified.
You will need to gain the permission of the Chief Executive Officer (or other relevant person such as Workforce Planning or Human Resources Manager) to carry out the project, including requesting a data set. This action is essential for you to gain access to the people and information that you require to successfully complete the project.
The process will include the following steps:
Any request for data should make it very clear that the University will undertake to strictly preserve the confidentiality of the data and that the University only provides access to the assignments by the Unit Co-ordinator and Subject Lecturer.
In addition, the data is not to be released for any other purpose or used by any other party including research, publications and third parties. Therefore students will also be required to abide by a confidentiality agreement, and small cell sizes under 5 will not be reported in the assignment.
It is recommended that the organisation be requested to provide a data set. The most useful extract is from a payroll data set, and you will need to request an Excel file with a pivot table of the extracted data. The data can be extracted for one payroll period, and November 2015 would be a good time to source the data as it is usually representative of the data over a calendar year.
Please request the following data items:
The two main workforce counts to be included in the data set are:
FTE (Full Time Equivalent) includes productive, non-productive and overtime hours. FTE is calculated based on an award working week and hours contributing to allocated days off are considered when taken. Most awards are 38 hours per week including junior medical officers and nurses. Senior Medical Officers such as Staff Specialists are 40 hours per week.
Headcount (based on a count of the records in the extract spreadsheet and using Employee ID as the unique count.
The Data Items to be included in the data set are:
There are differing data components including:
This includes age and gender data items
Workforce characteristics and classification:
This includes length of service, award group and award
Services descriptors or service areas.
This includes cost centres and grouped cost centres or “service areas”.
The excel file provided to students who are analysing the NSW Ministry of Health data set can be provided to staff at the organisation (Information Officer or Payroll Officer) to show how the data has been grouped. The ID number needs to be de-identified and is just for the purposes of showing the number of records.
The following table is a list of the data items and their groupings which need to be requested.
Source: NSW Ministry of Health Human Resources Information System, 2015
The original data file was created by the Workforce Planning and Performance Unit of the Workforce Planning and Development Branch of the NSW Ministry of Health, and if required I can provide a copy of the data file provided by the Ministry.
Create a further data item from the original data set called “Service Area” which adds together “like” service and organisational clusters. The Excel data file shows these groupings for an acute hospital.
The best way to do this is to understand the organisational structure of the facility and do the groupings on that basis. However to develop data sets using clinical streams you may need to move away from organisational lines of responsibility.
Follow the format of the extracted data in the Excel file to extract your own data.
The following sections provide some material on how to develop graphs and manipulate the data provided. This will be covered in the Webinars as well.
Managing small cell sizes
When data is cross-tabulated it often results in small cell sizes. No data should be reported in a table or graph with a value of less than five. Therefore data needs to be added to the nearest data range or data ranges changed to add data together.
The grouping of data uses the Autosumfunction. A link is as follows:
Copy and paste the total table so that you have another version to work with. However, you need to create empty cells to sum into so:
You will be assessed according to the following criteria, which are expanded in the Unit Learning Guide under the Rubric section for Assessment 2.
Provide your answers based on the recommended readings in Modules 3 to 5 and other references that you find (see the Rubric for details on additional readings).Review the video on the use of excel.
Write up most of the tables and graphs as an attachment to the report and then in the report use all headings linked to your data analysis and provide key findings.
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