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1 #DEA2019 DES Stars – the past and the future David Best Senior Policy Officer Disability Employment Australia

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Page 1: DES Stars – the past - Conference Worksdea.conferenceworks.com.au/wp-content/uploads/sites/20/...The Future – telling a story #DEA2019 1. Telling a story about the number of outcomes

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#DEA2019

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#DEA2019

DES Stars – the past and the futureDavid BestSenior Policy OfficerDisability Employment Australia

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#DEA2019The past and the future?

4 objectives: • What are the star ratings?• Brief history applying to DES / DEN / DOES• Impacts, outcomes and provider feedback• Discussion around the possible future!

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#DEA2019What are the stars?

• Comparing outcome rates of services against an expected level of performance

• Relative method assessment• The DES sites/contracts are then ranked

depending on how near or far they are from the national average!

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#DEA2019What are the stars?

• Expected performance! • Regression – a statistical process to control

different variables - like unemployment duration / participant characteristics and the local unemployment rate / labour market conditions

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#DEA2019What are the stars?

Level of disadvantage

of participants

Strength of labour market

Expected Performance

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#DEA2019What are the stars?

• Every three months, the star ratings are released to providers / publically!

• Based on two years of previous rolling outcome data (previously 3 year rolling)

• Effects business reallocation and tenders

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#DEA2019History of the Stars and DES

Once upon a time… • DEN / DOES program transferred to DEWR

in 2004• Decision makers aligned performance

framework similar to Job Network type

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#DEA20194 versions since 2006

• Disability Employment Network (DEN) and Vocational Rehabilitation Services (VRS) Stars Ratings from 2006 to 2009

• First DES Performance Framework 2010 to 2012

• Second DES Performance Framework 2013 to June 2018

• Third DES Performance Framework July 2018 to current

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#DEA2019History of the Stars and DES

1st iteration: 2006-09: three components• Capped stream – Employment Assistance• Capped stream – Workers in Maintenance• Uncapped stream

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#DEA2019History - an efficiency measure?

2 components = 10%

(1) Proportion of referrals who commence in the program.

(2) Average time from commencement to the achievement of a 13 week full employment outcome.

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#DEA2019Reviews - 2009

“the new framework does not include a fixed distribution and that the performance of an individual provider be measured and reported relative to the performance of other similar providers” (DSS, 2009)

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#DEA2019New version 2010

2010 DMS and ESS ratings • Efficiency measure = total 10%• Effectiveness measure = total 90%

• Ongoing support = 5% DMS• Ongoing support = 15% ESS

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#DEA2019New version 2013

2013 Review Efficiency measure = GONE! • Now efficiency and effectiveness measure =

total 90%• New 52 week sustainability indicator

included = 10%

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#DEA2019Reviews - 2014

“The Star Ratings model is used by the Department as a result of the numerous advantages it offers in measuring provider performance. These benefits include statistically adjusting for external factors affecting provider performance, the use of ex-post data, reducing the incentive to cream and park participants and using the performance rankings to inform business reallocation decisions” (DSS, 2014)

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#DEA2019Why the change?

Why did the efficiency measure go? 2013 review?• Can be measured in regression• Needed the 10% for 52 week indicator

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#DEA2019Impacts – DEA perspective

- Outcome requirements must be met and can be quite narrow (program assurance)- The worst thing that can happen to your performance is for people to come through the doors and achieve nothing at all- Research ‘People stay in jobs that reflect their preferences twice as long’

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#DEA2019Impacts –DEA training - how to perform? • “The star ratings system means you need to

place as many people as you can, a quickly as you can, every three months in time for the next public ranking”

• “high volume, quick throughput”• “You always want to try to get full outcomes

(with bonuses if you can) for as many people as possible”

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#DEA2019Impacts - Quotes

“Then there was a surprise called regression. No one can explain that to date so let’s not talk

about that….”

“the ratings works for us – its gives us an idea of how we are performing. Poor performers

should be have business take away and good performers rewarded”

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#DEA2019Impacts of the framework

• Major change in practice since 2004• Continual program and policy changes • Reducing number of providers over time• More and more numbers into the DES

program• Relationship to contract human service

delivery trend• Questions – quality service, incentives and

competition

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#DEA20192018 changes and the Future!

• Taylor Fry review • Relative performance model • Changes to regression• 52 week outcome measure• 2 year rolling

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#DEA2019Regression transparency

“the expected performance results (as calculated by the statistical regression model) would be made available to DES providers for each DES Star Ratings period”(DSS,2018).

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#DEA2019The future - 2018 and beyond

• Where are we now! • March 2019 Stars - 30% were without data • Sector cannot ignore the stars • Need to realise how DES is going to shape

over the next two years to five years

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#DEA2019The future - 2018 and beyond

Other challenges… Risk adjusted outcome model – is it

working? Market model – 136 providers to less than

120 Choice and control – how are participants

making choices now? Panel refresh policy

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#DEA2019The Future - Benchmarking?

Discussion over a time about benchmarking but never embraced by Government

Literature reviews of benchmarking – All star ratings reviews ‘a benchmarking approach would not be feasible’

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#DEA2019The Future – telling a story

1. Telling a story about the number of outcomes to participants and job placements

2. A story quality service offer and feedback 3. ‘Word of mouth’ in choice and model!

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#DEA2019Future - Nevile research

- Star ratings of little use to service users –only interested in services in their own city / region

- “the star ratings system has significantly reduced the number of agencies providing DES”

- Nevile (2016) recommended that DES be ‘substantially deregulated’

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#DEA2019Future - Marketing

• Marketing of outcomes (Nevile, 2016)• Number of participants placed• Sustainable jobs lasting more than 13 weeks• Sustainable jobs lasting more than 26 weeks• ‘Word of mouth’ will become more powerful

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#DEA2019Future - what is driving change?

A market model, client choice, porous ESA boundaries, may lead to the stars as a secondary factor to Government check of program

Change in service / outcome fee impacts Risk adjusted outcome payments 52 week outcomes means a change in

practice

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#DEA2019Discussion questions

- Do you think the relative model performance is effective?

- Market model and government policy – what does this mean for DES?

- Future government policy around broader ‘disability employment’?

- What will be discussing ‘performance framework review 2023’ in a few years time?

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#DEA2019And what do I think….

We still need to work within the performance framework as it is

Level of control of Government re service delivery

The market model and choice control ultimately lead to change

But would need program change Service fee question – and outcome rates!

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#DEA2019Conclusion

Star ratings for almost 15 years following various reviews

Has changed the program, impacted on providers and number of providers

The market model will change the impact of the stars

Question is how long for change to occur?

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#DEA2019Thankyou

- Tony Cameron from Mylestones / CPL- Dr Ann Nevile from ANU - David Turnbull from DSS- Quotes from various providers!