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December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
DQMI-19 (April 2019) (Updated 20 February 2020 to include MSDS data)
DQMI-19 CSV (Updated 20 February 2020 to include MSDS data)
June 2019
Updated 26 July 2019 to include DID data
DQMI-18 (March 2019) (Updated 21 August 2019 with changes made to the default in excess calculation)
DQMI-18 CSV (Updated 21 August 2019 with changes made to the default in excess calculation)
May 2019
April 2019
DQMI-16 (January 2019) (Updated 20 February 2020 to include MSDS Data)
DQMI-16 CSV (Updated 20 February 2020 to include MSDS Data)
February 2019
DQMI-12 (2018-19 Q2) - covers data for the period of July – September 2018
DQMI Power BI User Guide February 2019
November 2018
DQMI Power BI User Guide November 2018
August 2018
DQMI Power BI User Guide August 2018
May 2018
DQMI Power BI User Guide May 2018
February 2018
DQMI_8_CSV [2Mb](Opens in a new window)
DQMI Power BI User Guide February 2018
November 2017
There are missing records for a number of providers (predominantly independent sector) in the CDS (APC, A&E, OP) data. This was caused by a change introduced by SUS+ in August which resulted in these missing records.
DQMI-7_(2017-18_Q1) [689kb](Opens in a new window)
DQMI-7 Methodology [1Mb](Opens in a new window)
DQMI 7 CSV [1Mb](Opens in a new window)
DQMI Power BI User Guide November 2017
Note: The Analysis is to show diagnostic coding for conditions that do not remit should not be lost from patient records over time - this "diagnostic persistence" is a measure of data quality, it is not to show poor diagnosis or treatment of conditions.
August 2017
DQMI-6 (2016-17 Q4) [730kb](Opens in a new window) covers data for the period of January - March 2017.
DQMI-6 Methodology [977kb](Opens in a new window)
DQMI-6 CSV (Opens in a new window)
DQMI Power BI User Guide August 2017
May 2017
DQMI-5 (2016-17 Q3) [723kb](Opens in a new window) covers data for the period of October - December 2016.
DQMI-5 Methodology [1018kb](Opens in a new window)
DQMI-5 CSV file [1Mb](Opens in a new window) CSV reissued on 24 May 2017 due to duplicates in the original file.
Power BI Report user guide May 2017
February 2017
DQMI-4 (2016-17 Q2) [643kb](Opens in a new window) covers data for the period of July - September 2016
DQMI-4 (2016-17 Q2) [643kb](Opens in a new window)
DQMI-4 Methodology [1Mb](Opens in a new window)
DQMI-4 CSV [1Mb](Opens in a new window)
Power BI Report User Guide February 2017
November 2016
DQMI-3 (2016-17 Q1) [683kb](Opens in a new window) covers data for the period of April - June 2016
DQMI-3 Methodology [1Mb](Opens in a new window)
DQMI-3 CSV [1Mb](Opens in a new window)
Power BI Report User Guide November 2016
August 2016
DQMI-2 (2015-16 Q4) covers data for the period of January - March 2016
DQ_maturity_index_introduction_and_methodology__15_8_16
May 2016
DQMI-1 (2015 Annual) covers data for the period of January - December 2015
The Health and Social Care Act 2012 (section 266) states that our statutory data quality role is to assess the extent to which the data we collect meets defined national standards and to publish the results of the assessments. In addition, we may give advice or guidance on data quality relating to the collection, analysis, publication or other dissemination of data and information.
Our Data Quality Assurance Strategy 2018-2020 sets out how we will fulfil these responsibilities.
The Health and Social Care Act 2012 (section 266) states that our statutory data quality role is to assess the extent to which the data we collect meets defined national standards and to publish the results of the assessments. In addition, we may give advice or guidance on data quality relating to the collection, analysis, publication or other dissemination of data and information.
Our Data Quality Assurance Strategy 2018-2020 sets out how we will fulfil these responsibilities.