The DQMI is a quarterly publication about data quality in the NHS, which provides data submitters with timely and transparent information.
The DQMI is a quarterly publication about data quality in the NHS, which provides data submitters with timely and transparent information.
Links to all of the DQMI publications, the associated methodology documents and the interactive report can be found below:
DQMI-10 (2017-18 Q4)
DQMI-10 Methodology
DQMI 10 CSV
Power BI Interactive Report
DQMI Power BI User Guide
Diagnostic codes for conditions that do not remit should not be lost from patient records over time - this "diagnostic persistence" is a measure of data quality. The below factsheet highlights the proportion of patient episodes that include, or omit, a code for one of five clinical diagnoses where there is reason to expect that a code should continue to be recorded. We reviewed diagnostic codes for all episodes of hospital care over a three month period, and then looked back to compare whether a relevant code was previously recorded.
DQMI Comorbidity Outputs 17-18 Q2 Jul to Sep v1.0 Final [859kb](Opens in a new window)
February Diagnostic Persistence Infographic_FINAL v0.1 [518kb](Opens in a new window)
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.
DQMI Comorbidity Outputs Q1 Apr to Jun 17-18 v1.0 Final [209kb](Opens in a new window)
November Diagnostic Persistence Infographic_FINAL [519kb](Opens in a new window)
Comorbidities analysis raw data [166kb](Opens in a new window)
Comorbidities analysis Infographic [517kb](Opens in a new window)
DQMI_8_CSV [2Mb](Opens in a new window)
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)
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 (2016-17 Q4) [730kb](Opens in a new window)
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 24/05/2017 due to duplicates in the original file.
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)
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)
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.
Data Quality Assurance (DQA) activity is governed by the DQA Steering Group who meet every two months to provide overall strategic direction for DQA. The group is made up of internal members, as well as external representatives from Care Quality Commission, Department of Health, NHS England and NHS Improvement. We are working to ensure that the provider community are also represented at the DQA Steering Group. The group's Terms of Reference are available for reference, and any queries about the group should be directed to DQAteam@nhs.net.
The DQA user forum meets quarterly with representatives from a number of Clinical Commissioning Groups (CCGs), Commissioning Support Units (CSUs), NHS England and the Care Quality Commission (CQC). The forum is in its early stages but has already seen some very positive actions come out of the first meeting to proactively support the improvement of data quality.
A DQA provider forum meets quarterly with representatives from 20 provider organisations from around the country. The forum is supported by a national provider E-forum enabling further engagement from over 100 active members.
NHS Digital recommends the use of a supportive performance evidence delivery framework (version 2) designed to help data providers to improve their level of data quality by enhancing their own local processes. Aspects of the framework have been used successfully in an Acute Trust environment, leading to an improved understanding of the importance of data quality alongside an improvement in the quality of data itself.
