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Developing Your Concept. Thomas F. Hilton, Ph.D. Program Official for Organization & Mgt. Science Nat’l. Inst. on Drug Abuse/NIDA. Think – before you act. NIH applications require all your thinking and planning up front. Theory Development Research Design Research Team and Budget
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Developing Your Concept Thomas F. Hilton, Ph.D. Program Official for Organization & Mgt. Science Nat’l. Inst. on Drug Abuse/NIDA
Think – before you act. NIH applications require all your thinking and planning up front. • Theory Development • Research Design • Research Team and Budget • Sampling and Population Access Thus, Grant Applications are Expensive!
Probe – before you plunge. Test the waters before you invest time and resources, or you risk getting soaked. • Is this this right institute – right branch – right PO? • Does my project align with the institute’s mission? • Does my planned level of effort exceed the value of the problem I want to address?
Contact a Program Official. What do they call it when you want a million dollars just for sending in a form? A Lottery!
Contact a Program Official. POs are an applicant’s insider advocate. • POs can tell you how welcome your idea will be. • POs help you align your application with the institute’s mission. • POs can advise you on they kinds of questions that are likely to arise on grants like yours. • POs advocate for funding after peer review. • POs advise you about resubmissions.
Use of Concept Paper • Allows assessment of potential for success as a grant – by colleagues as well as POs. • Forces you to think through the project before you talk about it to others – no loose ends. • Forms the basis for application development – keeps you focused. • Helps collaborators stay on same channel you are tuned into – keeps your team focused.
Grant Purpose • You want a grant for a how-many-year period? • To do what? • At what cost/level of effort? I want a grant for 3 years to find out the best ways to implement service orientation in drop-in clinics. I was thinking that this would involve 30 clinics and run about $250K a year.
Problem / Background Explain why the literature or your research leads you to think this topic needs study. There are at least a dozen studies showing that drop-in clinic patients who drop out of treatment mention lack of staff concern as a contributing factor.
Significance What is the payoff to science AND to public health? Jones & Smith showed in their 2003 study that retaining drop-in clinic patients in treatment could save $1,100 per incident in reduced need for re-treatment and lowered contagion.
Question Derived from the background literature, what model will guide your hypotheses and what hypotheses will you test? I think that ASA theory will explain why patients will stay when service orientation is high, and what will re-engage patients who have left.
Design • What is the study design that will enable testing your hypotheses? • Sample (power, population) • Intervention (Hi, Med, Lo impact; nature) • Controls • Measures, etc.
Analyses What statistical approach will ensure a fair test based on your data? I want to run a lagged panel correlation and SEMs comparing dropouts, re-engagers, and stayers within and between clinics with SO training and without it.
Team Who do you envision as helping on the project? • Disease experts • Statisticians • Economists • Field colleagues • Theory consultant
Feedback • With a good concept of your project, you PO can provide the most accurate advice. • Ask the right questions to guide your application • Make you aware of related projects • Point out significant barriers/opportunities • Suggest the best grant program and mechanism • Your PO interactions help to build I/C enthusiasm for your project.
Overview • Grant Purpose (Briefly, you want a grant for a #-year period to do what? At what cost/level of effort?) • Problem/Background (Explain why the literature/your research leads you to think this topic needs study.) • Significance (What is the payoff to science AND to public health?) • Question (Derived from the background literature, what model will guide your hypotheses and what hypotheses will you test?) • Design (What is the study design that will enable testing your hypotheses? Sample, intervention, controls, measures, etc.) • Analysis (What statistical approach will ensure a fair test based on your data?) • Team (Who do you envision as helping on the project?)