Extracting and analysing data from general practice

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Transcription:

Extracting and analysing data from general practice PHE / NHS Health Checks webinar, 7 July 2016 Presented by Dave Roberts, Matt King and Kathryn Salt

Today s presentation is in 4 parts 1 Primary care domain and general practice data Dave Roberts Head of Primary Care Information 2 End to end process for general practice data Matt King Relationship Manager 3 Analysis and publications 4 Our work on NHS Health Checks Kathryn Salt (née Knight) Analytical Section Head 2

Part one: Primary care domain and general practice data Primary care domain & general practice data Presented by Dave Roberts End to end process Data analysis and publication Our work on NHS Health Checks 3

Background Primary Care Domain We work with: General practice data Dental data Ophthalmic data Data on eligibility for NHS Continuing Healthcare Today s focus is on general practice data 4

HSCIC GP collections We collect coded data Mainly using GPES (the General Practice Extraction Service) From general practices in England 5

GP data collections (1) GP contract services: QOF Enhanced Services INLIQ Monthly dementia diagnoses data CCG Outcomes Indicator Set 6

GP data collections (2) Accountable GP metrics (in preparation) Learning Disabilities Observatory GP2DRS NHS Health Checks (in development) Latent TB Infections (in early discussions) 7

GP data collections (3) Patient objections management Plus extensive wider interest: Arm s Length Bodies Regional and local NHS Other government departments Local government Research and academia Charities The commercial sector 8

Future opportunities To support a broad range of users PHE interest in general practice data we would like to support: Immunisations and vaccinations Real time syndromic surveillance Latent Tuberculosis Infection screening Plus ongoing discussions through PHE s Primary Care Intelligence Group 9

Areas of focus Meeting the needs of a broad range of users Making the process quicker Other process improvements 10

Primary care domain & general practice data End to end process Data analysis and publication Our work on NHS Health Checks Presented by Matt King 11

End to end process 12

Front door Receive, record and respond to initial enquiries Sharing basic information Feasibility discussions Technical expertise from HSCIC analysts Systems expertise from GPES staff Clinical expertise from HSCIC clinical informatics advisors Prioritisation Within HSCIC Cross-NIB role of NHS England s Data Commissioning Group 13

Specifications Define data collections Clear instructions to GP system suppliers Remove any ambiguity over data collection Key aspects include: Populations of patients Timescales Sequencing of events Read code clusters 14

Governance Collection of data: Health and Social Care Act 2012: statutory responsibilities Establish information systems (collect data) some are directed Notify general practices of data collections Minimise the burden of data collections on the NHS Standardisation Committee for Care Information (SCCI) Assures and approves information standards, data collections and data extractions Works closely with the Burden Advice and Assessment Service Dissemination of data: Data Access Advisory Group (DAAG) 15

Data extraction (GPES) Specifications shared with 4x GP system suppliers EMIS TPP INPS Microtest Commercial negotiations 4x GP system suppliers develop extracts Certification Notification of upcoming extracts Confirming practice participation 16

17

Primary care domain & general practice data End to end process Data analysis and publication Our work on NHS Health Checks Presented by Kathryn Salt 18

Analysis what do we do? Assure data quality Analyse data Produce publications Respond to queries: From customers From the general public Freedom of Information Parliamentary Questions 19

Analysis Data Quality Coverage - the degree to which data have been received from all expected data suppliers. Completeness - the degree to which data items include all expected values. Integrity - the degree to which data satisfy the agreed specification. 20

Analysis Data Quality Patient Preferences, May 2016, coverage summary Practices Registered Patients Number Proportion (%) Number Proportion (%) Active practices in England 7,689-57,684,496 - Data collected 1 7,383 96.02 56,257,680 97.53 Declined to participate 2 26 0.34 192,714 0.33 Data not collected for other reasons 3 280 3.64 1,234,102 2.14 1 At least one successful data collection at any time up to the end of the reporting period. 2 Declined to participate in the data collection. 3 Data may not be collected for a number of other reasons including where a practice uses an IT system from which the HSCIC cannot collect data, where a practice has yet to respond to the invitation to participate in the data collection or where technical issues occur. 21

Analysis Linking to reference data Calculations e.g. recorded prevalence, QOF achievement Statistics standardisation, confidence intervals, descriptive statistics Time time series, trends, comparability 22

Dissemination All publications are on the HSCIC website. Produce around 50 publications each year One-off, monthly, quarterly or annually Aim to cater for a wide range of users - Large.csv files (open data) - Traditional.xls spreadsheets - Accessible.pdf reports 23

Observed prevalence of recorded dementia in England by age group and gender Age 90+ 85 to 89 80 to 84 75 to 79 70 to 74 Female 65 to 69 60 to 64 55 to 59 50 to 54 45 to 49 40 to 44 35 to 39 30 to 34 0 to 29 Male 25.0% 20.0% 15.0% 10.0% 5.0% 0.0% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 24

Proportion of people in England diagnosed with dementia Quality and Outcomes Framework (QOF) dementia subset A regional look at dementia The proportion of people aged 65 and over with a recorded dementia diagnosis (prevalence rate) is greater in the north of England. Rates displayed on the map have been adjusted for age and gender, so they represent what the rates would be if the regions had the same numbers and ages of men and women. To review the data in this publication in more detail and to access monthly QOF dementia data: www.hscic.gov.uk/qofdementia Published: May 2016 Responsible Statistician: Kathryn Knight ISBN: 978-1-78386-717-2 25

Patients in England diagnosed with dementia Quality and Outcomes Framework (QOF) dementia subset Aiming to improve the national diagnosis rate for dementia, this annual report on dementia diagnosis data supports the Prime Minister s Dementia Challenge. At 31 March 2016: 427,000 People with a recorded dementia diagnosis 1 in 23 People aged 65+ have a dementia diagnosis 1 in 5 women aged 90+ 427,000 people in England (one in every 132 people registered with a GP) were recorded as having dementia. Published: May 2016 Responsible Statistician: Kathryn Knight ISBN: 978-1-78386-717-2 The group with the highest recorded dementia prevalence was women aged 90 and over, at 20.9 per cent. There is a difference between this recorded number and the number of women aged 90 and over thought to have dementia, which is estimated to be 35 per cent, based on other research. 26

Primary care domain & general practice data End to end process Data analysis and publication Our work on NHS Health Checks Presented by Kathryn Salt 27

Our work on NHS Health Checks Information Standard from July 2011 Detailed discussions since summer 2015 Updated requirement PHE are seeking record level data for everyone who has had a Health Check Next steps Business rules Governance Data asset using test data Discussions about data linkage, data provision and publication can then begin First data extract planned for January-March 2017 28

Any questions? 29

For more information These slides will be published by PHE HSCIC website GP collections pages: http://systems.hscic.gov.uk/gpcollections Contact us through by phone and email please see our details on next slide 30