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Combining health and social protection measures to reach the ultra ...

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Decision-makingdesire <strong>to</strong> publish. The core of <strong>the</strong> issue in using evidencedifferently lies in <strong>the</strong> differences in decision-makingimperatives. Not only might scientific evidence conflict withvalues <strong>and</strong> beliefs of policy-makers, but <strong>the</strong> policy-makeruses evidence in <strong>the</strong> battle <strong>to</strong> control problem definition <strong>and</strong>policy solutions. Policy-makers thus look for evidence<strong>to</strong> support <strong>the</strong>ir claims, <strong>and</strong> thus systematic bias occurs in<strong>the</strong> way that policy-makers look for <strong>and</strong> use data. Ano<strong>the</strong>rfacet of this issue is that policy-makers are often concernedthat highlighting knowledge gaps will reduce supportfor <strong>the</strong>ir programmes. They thus end up making uninformeddecisions.Fur<strong>the</strong>r complicating <strong>the</strong> issues are <strong>the</strong> weaknesses in logicin both scientific <strong>and</strong> policy-making approaches <strong>to</strong> settingpriorities <strong>and</strong> achieving outcomes. Science <strong>and</strong> policy-makingare chaotic in different ways. Most scientific research isderivative, <strong>and</strong> unhelpful from a policy perspective. The 23rdpaper on smoking <strong>and</strong> a certain disease may still bepublished, but it is not really advancing science unless <strong>the</strong>study is somehow markedly better than previous studies; <strong>to</strong>ooften, it is not. In o<strong>the</strong>r words, <strong>the</strong>re is a lot of indifferent or“junk” science out <strong>the</strong>re, <strong>and</strong> policy-makers are cleverenough <strong>to</strong> recognize this. Policy-making is built on a his<strong>to</strong>ryof related policies, but is also reactive <strong>to</strong> numerous <strong>and</strong>competing stakeholder dem<strong>and</strong>s. At <strong>the</strong> end of <strong>the</strong> day,policies are <strong>the</strong> result of compromises <strong>and</strong> are constantlyframed <strong>and</strong> re-framed in response <strong>to</strong> changing contexts.Also, researchers are always wanting <strong>to</strong> hedge <strong>the</strong>irfindings – <strong>the</strong>y recognize <strong>the</strong> limitations of <strong>the</strong>ir data <strong>and</strong> arestriving <strong>to</strong> provide proof “beyond reasonable doubt” –however, policy-makers need a simple one-line answer <strong>to</strong>what are often, at least <strong>to</strong> <strong>the</strong> researchers, complex issues. Inpresenting <strong>the</strong>ir results, researchers traditionally rely on somany caveats that policy-makers do not know what <strong>to</strong>believe. Policy-makers frequently have <strong>to</strong> exercise moralFacilita<strong>to</strong>rsNumber of studiesPersonal contact between researchers<strong>and</strong> policy-makers 13Timeliness <strong>and</strong> relevance of <strong>the</strong> research 13Research that includes a summary withclear recommendations 11Research that confirms current policy orendorses self-interest 6Good quality research 6Community pressure or client dem<strong>and</strong> for research 4Inclusion of effectiveness data 3TOTAL studies 24BarriersNumber of studiesAbsence of personal contact betweenresearchers <strong>and</strong> policy-makers 11Lack of timeliness <strong>and</strong> relevance of research 9Mutual mistrust between researchers <strong>and</strong> policy-makers 8Power <strong>and</strong> budget struggles 7Poor quality of research 6Political instability or high turnover of policy-making staff 5TOTAL studies 24Table 2: Facilita<strong>to</strong>rs <strong>and</strong> barriers <strong>to</strong> use of research by policymakers,identified in a systematic review of 24 interview studies(tabulation of data provided by Innvaer et al., 2002 7 )judgements in <strong>the</strong> face of uncertainty, so decisions are taken“on <strong>the</strong> balance of probabilities”. They usually have plenty on<strong>the</strong>ir plates, <strong>and</strong> gravitate <strong>to</strong>wards evidence that speaks <strong>to</strong><strong>the</strong>ir own experiences, or that of <strong>the</strong>ir constituents. They seeka “one size fits all” or “cookie cutter” approach. Policy-makerswant a “bot<strong>to</strong>m line”, but researchers are uncomfortablegiving one.Researchers <strong>and</strong> policy-makers also tend <strong>to</strong> have differentaccountability mechanisms. Researchers are essentiallyaccountable <strong>to</strong> edi<strong>to</strong>rs of peer-reviewed journals, fellowresearchers <strong>and</strong> those who fund <strong>the</strong>ir research. They may beinterested in policy but, at <strong>the</strong> end of <strong>the</strong> day, are not required<strong>to</strong> focus on issues that have policy relevance or application.On <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>, policy-makers are usually accountable <strong>to</strong>political parties, government <strong>and</strong> taxpayers, if not <strong>the</strong> voters,<strong>and</strong> must focus on things that are consistent with politicalagendas. Complicating this however is <strong>the</strong> increasingpressure on researchers <strong>to</strong> comply with views of governmentsthat are increasingly responsible for setting priorities in <strong>the</strong>way research funds are allocated. So smart researchers willhave <strong>the</strong>ir research proposals reviewed by policy-makersbefore submitting <strong>the</strong>ir grant proposals.There is unfortunately no correlation between <strong>the</strong> quality ofscience <strong>and</strong> <strong>the</strong> policy derived from it. Good science does notalways guarantee good policy; bad or even no science doesnot necessarily lead <strong>to</strong> bad policy. It is true that good policydoes not always depend on waiting for good evidence. Forexample, condom promotion makes good common sensewhen setting policies <strong>to</strong> tackle sexually transmitted diseases.On <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>, having a policy, no matter how carefullythought out, is no guarantee that it works. Having a policy forclean water, for example, does not necessarily make <strong>the</strong> waterclean. It must be realized that science is needed both <strong>to</strong> helpdevelop <strong>the</strong> policy <strong>and</strong> <strong>to</strong> evaluate <strong>the</strong> policy.Ano<strong>the</strong>r issue is related <strong>to</strong> <strong>the</strong> public image. Researchersare often respected as “wise <strong>and</strong> objective people”, free frompolitical <strong>and</strong> economic interests <strong>and</strong> pressures. Policy-makersare often regarded as “powerful people”, but are notnecessarily respected. It is not that ei<strong>the</strong>r researchers orpolicy-makers are “wrong” or “bad”. One responds <strong>to</strong>scientific rationality, while <strong>the</strong> o<strong>the</strong>r responds <strong>to</strong> politicalpressures. Fur<strong>the</strong>rmore, <strong>the</strong> societies within which <strong>the</strong>y workalso have norms <strong>and</strong> expectations, which might beconsidered “cultural rationality”. The coming <strong>to</strong>ge<strong>the</strong>r of <strong>the</strong>secompeting rationalities is necessary <strong>to</strong> resolve <strong>the</strong> seemingincompatibilities <strong>and</strong> ultimately ending up with <strong>the</strong> adoptionof evidence-based <strong>health</strong> policies.Some suggestions on bridging <strong>the</strong> gapHow can we bridge this chasm <strong>and</strong> gap between researchers<strong>and</strong> policy-makers? Arguably, a key first step might be anattempt <strong>to</strong> underst<strong>and</strong> what may be <strong>the</strong> predic<strong>to</strong>rs of success(<strong>and</strong> failure) in <strong>the</strong> way researchers <strong>and</strong> policy-makerscommunicate <strong>and</strong> value each o<strong>the</strong>rs’ efforts. Innvaer et al.reviewed 24 interview studies with <strong>health</strong> policy-makers (a<strong>to</strong>tal of 2041 interviews) concerning <strong>the</strong>ir perceptions of <strong>the</strong>use of research evidence in <strong>health</strong> policy decisions 7 . The mostcommonly reported facilita<strong>to</strong>rs were personal contact (13/24156 ✜ Global Forum Update on Research for Health Volume 4

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