Experiment and Insight Liz Milewicz & Will Shaw (DSS) Cheryl Thomas (RIS)
Presentation liz thomas
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Transcript of Presentation liz thomas
Why data quality How we monitor equality and diversity data
Woven eWIN
Data quality update Equality and diversity data error count High impact data errors
Staff survey Headline North West statistics Population and workforce comparison Example: age profiling tool
Why is data quality important? What is your data used for? What impact does this use have on decision making? For example, data is used to populate current position of
workforce and forecast future workforce What impact would incorrect data have?
Ensuring accuracy minimising risk in data modelling and mapping
Ensuring accuracy provides confidence in robust data and consequent decision making
Ensuring accuracy enables accurate reporting
Why is equality and diversity data quality important? Knowledge of your workforce Level of disclosure Does our workforce represent our community? Action planning
Importance of data collection and validation processes Need to know our data is collected and recorded Need to know our data is accurate Some equality and diversity fields in ESR are not
mandatory fields to complete – can be left blank
Monthly report produced by Health and Social Care Information Centre
Every trust receives report
ESR system interrogated for “errors” as identified by coded queries Date of Birth is blank Ethnic Origin is blank Religious Belief is blank Sexual Orientation is blank Disability is blank
Validation query – not data accuracy
4 data quality reports on eWIN
Trust ranking Your Woven report Regional comparison National ranking
Guidelines
https://northwest.ewin.nhs.uk/benchmarking Select QIPP Dashboard
https://northwest.ewin.nhs.uk/qipp/
Navigate to the Woven Data Quality Reporting “speed-o-meter” and select graph
https://northwest.ewin.nhs.uk/qipp/data_quality_reporting/ranking_table
• 4 data reports are available and a data guidance page
• All reports can be exported to PDF
• We can provide WebEx tutorials on request for all eWIN services or specific reports e.g. the data quality reports
https://northwest.ewin.nhs.uk/qipp/data_quality_reporting/ranking_table
• Select errors to look at specific query IDs
• NW retained first place Dec ‘11 to May ‘12
• Overall error count from Sep11-May12 reduced by 25,234 errors (57%)
• Error count reduced by 1.8% (-356 errors) Apr-May 2012
SHA Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 Feb-12 Mar-12 Apr-12 May-12 Rank
Position from previous month
NHS East Midlands 6,230 6,360 6,640 6,710 6,725 6,750 0 6,950 6,970 7,180 9 ↑NHS East of England 6,220 6,410 6,430 6,660 6,790 6,880 0 7,030 7,055 7,105 10 ↓NHS London 6,360 6,445 6,510 6,735 6,845 6,935 0 7,130 7,200 7,230 8 →NHS North East 7,425 7,585 7,650 7,945 7,990 8,135 0 8,210 8,430 8,545 3 ↑NHS North West 7,375 7,480 7,795 8,195 8,540 8,785 0 9,095 9,160 9,240 1 →NHS South Central 7,290 7,390 7,580 7,660 7,960 8,060 0 8,005 8,160 8,115 6 →NHS South East Coast 6,695 6,835 7,140 7,485 7,960 8,185 0 8,415 8,440 8,465 4 ↓NHS South West 7,595 7,835 8,055 8,320 8,515 8,580 0 8,740 8,800 8,905 2 →NHS West Midlands 6,920 6,875 7,185 7,395 7,510 7,580 0 7,660 7,715 7,625 7 →NHS Yorkshire and Humber 7,360 7,505 7,425 7,745 8,000 8,045 0 8,175 8,345 8,445 5 →
Source: Woven reports,Health and Social Care Information Centre
Date of birth is blank: low error count, increase Apr-May
Ethnic origin is blank: consistent reduction until April – large increase Apr-May (81.7%)
Religious belief is blank: consistent reduction, error count remains in thousands
Sexual orientation is blank: consistent reduction, error count remains in thousands
Disability is blank: consistent reduction, error count remains in thousands – increase Apr-May
QUERY DESCRIPTION Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 Mar-12 Apr-12 May-12
Aug11-May12 Change
% Change
Month Change % Change
Date of birth is blank 0 0 1 2 0 0 2 2 7 7 - 5 250.0%Ethnic origin is blank 507 571 506 385 333 340 270 229 416 -91 -17.9% 187 81.7%Religious belief is blank 6893 7533 6952 5878 4017 3103 2681 2498 2016 -4877 -70.8% -482 -19.3%Sexual orientation is blank 6888 7525 6932 5850 4023 3119 2704 2474 2030 -4858 -70.5% -444 -17.9%Disability is blank 8460 9385 8430 6565 5234 4011 3552 3376 3539 -4921 -58.2% 163 4.8%
40.1 Recruitment Source is Blank: 23.1% of total errors
19.1 Sexual Orientation is Blank: 10.7% of total errors
31.1 Disability is Blank: 18.6% of total errors 16.1 Religious Belief is Blank: 10.6% of total
errors 30.1 Destination on Leaving is Blank: 18.3% of total
errors 2.1 Area of Work is Blank: 7.8% of total errors 89.1% of total errors drawn from high impact priority
areasSource: Woven reports,
Health and Social Care Information Centre
Equality and diversity data remains a challenge in the North West
Where is your trust? Use eWIN to find out
This identifies the null entries, but not the whole story
Staff Survey – North West Figures
Gender: 21% male, 79% female
Age: <1% 16-20, 13% 21-30, 18% 31-40, 28% 41-50, 36% 51-65, 4% 66+
Ethnic background: 94% White, 1% Mixed, 4% Asian/Asian British, 1% Black/Black British, 1% Chinese or other ethnic group
Sexual orientation: 93% heterosexual, 1% gay man, 1% gay woman, <1% bisexual, <1% other, 5% did not disclose
Source: NHS Staff Survey 2011,Amalgamated results
http://www.nhsstaffsurveys.com/cms/
Staff Survey – North West Figures
Religious Belief: 24% no religion, 67% Christian, <1% Buddhist, 1% Hindu, <1% Jewish, 2% Muslim, <1% Sikh, 1% any other religion, 4% did not disclose
Disability: 17% yes, 83% No
Null returns not recorded
Data available at Trust level
Source: NHS Staff Survey 2011,Amalgamated results
http://www.nhsstaffsurveys.com/cms/
Staff survey might provide data to fill some of the gaps on ESR
Other elements of the staff survey might provide more information on staff well-being
Organisation profile – how does this relate to the population we serve?
North West mid-year population estimates 6.9m in 2010
Highest regional population density outside of London Projected to reach 7.5m by 2033 87% of the population live in urban areas People from non-white groups make up 8% of NW
population Asian/Asian British were >4% of NW population
Source: Portrait of the North West,Regional Trends 43, ONS,
2010/11
Source: NW Workforce data, ESR Data Warehouse Mar-12NW Population data, Guardian mid-year estimates 2009
http://www.guardian.co.uk/news/datablog/2011/may/18/ethnic-population-england-wales#data https://docs.google.com/spreadsheet/ccc?key=0AonYZs4MzlZbdFJ6OVF1U3JZTXEyYnFjb0k1clJvOFE&hl=en#gid=0
Basic comparison of workforce against population provides understanding of if we represent the population we serve
Looking in more detail at workforce can provide further intelligence around how our workforce is effected by equality and diversity issues
For example: Ethnicity & pay progression Age profiling/areas of deprivation & pay progression Ethnicity & turnover Sickness absence & age SA & ethnicity
Age profile tool being developed – contact [email protected]
Identifies number of staff in specified age bands Calculates estimated cost of staff by age bands Calculates average cost per employee Forecast retirement
Age profile tool being developed
Compares to local demographics
Age profile tool being developed
Afc band analysis: skill mix of selected age bands
Work with you to develop tools
Adapt current tools for other metrics
Help share good practice via case studies
Provide WebExes to teach you about our resources
