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What can badgers teach us about implementing implementation science? Science, politics and policies . Sharon Witherspoon Deputy Director. www.nuffieldfoundation.org. The Nuffield Foundation. Endowed charitable trust, annual spend £12m (about $18m) General objective:
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What can badgers teach us about implementing implementation science? Science, politics and policies Sharon Witherspoon Deputy Director www.nuffieldfoundation.org
The Nuffield Foundation • Endowed charitable trust, annual spend £12m (about $18m) • General objective: “The advancement of social well-being particularly by means of scientific research”
Randomised Badger Culling Trial Background: • 25,000 cattle die of bovine TB each year in GB • Compensation of £100m p.a. • Half of all cattle infections come from badgers • Trial launched, 1998 -2007
Randomised Badger Culling Trial Trial: • Triplets of areas, 100km2 each • Proactive cull, each year • Reactive cull, only after TB outbreaks • Control zone, no cull www.nuffieldfoundation.org
Randomised Badger Culling Trial Results: • Reactive cull stopped as TB rates rose by 20% • Explanation: perturbation • Proactive cull: within zone, TB infections fell by 25%, but rose in the 2km ring around culling zone, because of ‘perturbation’ • Had to think through system effect: link between size of zone and size of ring effect
Randomised Badger Culling Trial Implications: • Larger rings (scaling up) would save money if proactive cull • To enhance cost-effectiveness, killing method changed (without new pilot) • Now have “real world” trial (aka scaling up)
Technical issues: fidelity, size of effects, scaling up, and value for moneyBut also controversy and values......
Why relevant to human services implementation in UK? • Experience of Multidimensional Treatment Foster Care • Sure Start • Youth justice reforms • School reforms
Other badger issues CONTEXT of TB in cattle in Southwest: • greater density of cattle, larger barns etc. • institutional organisation underestimated in early discussions. • But given pressures (economics, population growth etc), unlikely to change structures. • Implementation science needs to appreciate structural issues too
Implementation programs on continuum with evidence-based wider policy change? • When is universal intervention a structural policy change? • And how context specific is this? • Why we need to understand moderators and mediators • UK family policy: shift from child outcomes to family form
IFS study of selection and causality of ‘marriage effect’ • Actively commissioned by Foundation • Longitudinal data show that most differences in 2 outcomes for children (cognitive and social/behavioural) between married and cohabiting parents in UK are selection effects • Longer term analysis suggests virtually alldifference due to pre-existing differences
Some general issues in policy brokerage • Size of effects usually modest ( tho’ meaningful ) • Greater effects more costly (up front at least): dose response • Timescale for implementation vs. political cycle (ministerial career or parties)
Some general issues in policy brokerage II • Values, and disagreement about aims (much less means) • Self-interest but also ideology • Politics: intermediaries and stakeholders: advocates of change
And some larger questions • Is ultimate aim more and better interventions? • Targeted or universal? • If universal, is the game system change.... • And at what point does intervention implementation require building capacity and internal drivers for improvement.....
Two tough questions • Is there a ‘science’ of implementation or are there some general abstract features we can understand but not predict a priori? • Why would politicians ever relinquish control of means, or agree about aims when they are value-laden (as well as politically-important)?
Political science not implementation science? • Norway – longer-term commitment, development and funding • Anglo Saxon countries more ideologically riven on aims ? • Longer-term planning more difficult: US veto model, UK and other parliamentary systems have ‘pendulum swings’
But not counsel of despair Features already know to be important • Centres of substantive expertise, with longer-term engagement (foundation funders can help bridge) • Intermediary bodies and strategic practitioners • Political stakeholders (NGOs, parents, etc) • Active PUSH for scaling: and communication
But not counsel of despair Features already know to be important – II • Government advisers on inside (civil service, special advisers, research funding) • Culture of evaluation spending (mandate is good: by law or political oversight) • Longer term capacity building of ‘humans’ • Economic evaluations
But.... Isn’t this just the politics of creating critical mass and drivers to make implementation science and use of evidence more self-sustaining? Or at least ensuring that there is enough power to embarrass?