This DATSETNAMEreadme.txt file was generated on [20210804] by [Helen Cooper]

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GENERAL INFORMATION
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1. Title of Dataset: A cluster randomised control trial to evaluate the effectiveness and cost-effectiveness of the Italian Medicines Use Review (I-MUR) for asthma patients 

2. Author Information

  Principal Investigator Contact Information
  Name: Manfrin, Andrea
  Institution: Medway School of Pharmacy, Universities of Greenwich and Kent at Medway,     
  Address: Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK
  Email: a.manfrin@kent.ac.uk

  Associate or Co-investigator Contact Information
  Name:
  Institution:
  Address:
  Email:

  Alternate Contact Information
           Name:
           Institution:
           Address:
           Email:

3. Date of data collection (single date, range, approximate date) 20180413

4. Geographic location of data collection (where was data collected?): 

5. Information about funding sources that supported the collection of the data: Italian Pharmacists' Federation (FOFI) 

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DATA & FILE OVERVIEW
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1. File List
   A. Filename: I-MUR Economic analysis var code 26.01.2016 GBT3 repeated.xls      
      Short description: Data set used for the economic analysis of the I-MUR study       

        
   B. Filename:        
      Short description:        

        
   C. Filename:        
      Short description:

2. Relationship between files:        

3. Additional related data collected that was not included in the current data package:

4. Are there multiple versions of the dataset? yes/no
   If yes, list versions:
           Name of file that was updated:
                     i. Why was the file updated? 
                ii. When was the file updated?
           Name of file that was updated:
                      i. Why was the file updated?
                    ii. When was the file updated?

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>

3. Instrument- or software-specific information needed to interpret the data:

4. Standards and calibration information, if appropriate:

5. Environmental/experimental conditions:

6. Describe any quality-assurance procedures performed on the data:

7. People involved with sample collection, processing, analysis and/or submission:

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DATA-SPECIFIC INFORMATION FOR: [FILENAME]
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<create sections for each dataset (or file if appropriate) included>

1. Number of variables:

2. Number of cases/rows: 

3. Variable List
    A. Name: [variable name]
       Description: [description of the variable]
                    Value labels if appropriate

    B. Name: [variable name]
       Description: [description of the variable]
                    Value labels if appropriate

4. Missing data codes:
        Code/symbol        Definition
        Code/symbol        Definition

5. Specialized formats of other abbreviations used