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Title to go here By Peter Deacon & Mel Parekh The GP Patient Survey - Managing the largest healthcare study in the UK.

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Presentation on theme: "Title to go here By Peter Deacon & Mel Parekh The GP Patient Survey - Managing the largest healthcare study in the UK."— Presentation transcript:

1 Title to go here By Peter Deacon & Mel Parekh The GP Patient Survey - Managing the largest healthcare study in the UK

2 – Ipsos Mori – Who are Data Delivery – What is the GP Patients Survey – The work we do – Reporting – Close – Q & A Introduction

3 Ipsos Mori “Ipsos MORI, part of the Ipsos Group, is a leading UK research company with global reach.”

4 Who are Data Delivery? Data Delivery SPSS data management Online portals Dashboards Excel Reports Report Automation

5 The GP Patients Survey 1.3 million Questionnaires are sent out each wave It is currently run twice a year Each wave has two sets of reminders The current questionnaire contains 58 questions It’s broken into 12 Sections Response Rate of roughly 36% Assess the performance of practices

6 GP Patients Survey Team Exec Team Data Delivery Comms Team CATI Team Online Team Sampling Team Stats Team

7 Data Collection Scanned – From the scanned we get around 450,000 questionnaires back – which is approximately 95.5% of the total response Online – From Online we get around 20,000 responses – which is approximately 4.5% of the total response CATI – From CATI we get around 50 responses – which is approximately 0.001% of the total response

8 HOW WE USE SPSS TO SOLVE THE DATA ISSUES What we do?

9 – Data cleaning – Merge – Weighting – Reporting Variables – Aggregation – Reports What we do?

10 HOW DO WE MAKE THREE DIFFERENT FILES THE SAME? The Raw Data

11 Issues with the Raw data The Data files are all different We need to remove any incorrect responses There may be multiple responses from the same respondent We need to make sure all the variables and values are present

12 Raw Data Files The structure of the files Three data files – Scanned – CATI – Online Each need to be cleaned separately to be matched to each other Error Codes, when are they used Duplicate records Frequencies and checking

13 HOW DO WE BRING THE FILES TOGETHER WITH THE METADATA? Merging the data

14 The size of the files, each wave we have 500,000 cases A years data is nearly 2 million cases, with over 200 variables 1 gig worth of data We have to bring in meta-data from 6 different files Problems faced when merging

15 SHA level – Names of the SHA’s, old codes and new ONS codes GOR data – Government Office Region codes – Names of the GOR’s, the population within each and the amount of questionnaires we distributed in each region LA data – Local Authority names and codes, as well as the populations of each and the number of questionnaires distributed within each We bring in sample data in the merge from several different files Patient Level – Postcode, practice code they apply to, PCT codes and SHA codes as well as IMD scores Practice level – Name of the practices the population of their catchment area, the number of people signed up to attend the practice PCT level – Names of the PCT, old codes and new ONS codes Sample Data

16 Merge, bringing all three files together Matching in Sample data Using ‘Break’ files, to save data at certain points Weights Master Patient Level Data Merging Files

17 WE CAN’T REPORT ON THE DATA AS IT IS Preparing the data for reporting

18 Issues with reporting We need to show the data at different levels of order We need to able to produce percentages for each question We need to be able to calculate confidence intervals We need to put the data into excel templates

19 Preparing data for reports We create Reporting Variables where we break all the variables down again Creating base values Creating top 2 figures Distpop syntax files – Bring patient and practice sample files – Create aggregation files that contain the number of questionnaires distributed and the population sizes at the National, SHA, PCT and practice levels

20 Aggregating the data Aggregation files we can create multiple excel datasets based on what level of order we require Percentage and CI files Practice and PCT Un-weighted data and weighted data files Export to Excel for reporting Excel data is then loaded into the reports

21 Reporting SPSS Dataset at the Patient level Excel Data files – National – PCT – Practice Checked and signed off by the exec team Data gets uploaded to the website

22 THANK YOU peter.deacon@ipsos.competer.deacon@ipsos.com; mel.parekh@ipsos.com;mel.parekh@ipsos.com


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