1. Grants Academy Session Three
Prepared for Samuel Merritt University
February 26, 2018

2. Biography Sarah Ott, Grants Consultant, Hanover Research
Joined Hanover as a Grants Consultant in April 2013
Began grant writing career at West Virginia University Health Sciences Center
Continued career at University of Texas Health Science Center San Antonio
Extensive experience and success with basic and clinical science grant proposals
Has helped clients obtain more than $30 million in funding from government agencies and private foundations including NIH, PCORI, HRSA, CDC, the Department of Education, other federal agencies, and private funders

3. Logic Models

4. WHAT IS A LOGIC MODEL?
Flowchart/Visual summary of your theory of change
Planning Tool & Communication Tool
Logic Model Development Guide (Kellogg Foundation)
Theory of Change materials (Annie E. Casey Foundation)

5. WHAT GOES INTO A LOGIC MODEL?
Inputs
Activities
Outputs
Outcomes
Inputs
Resources invested in the project
Activities
Processes/actions the project will perform
Outputs
Expected results from the project
Outcomes
Expected impact of the project

6. SHORT/MEDIUM/LONG-TERM OUTCOMES
SOURCE

7. Methods/Materials, Outcome Measures, Data Analysis and Management, and Results Analysis

8. Section Scoring Criteria
Methods/Materials, Outcome Measures, Data Analysis and Management, and Results Analysis: [rubric: Category 4 - (45%)] To what extent is the research design and methods/materials appropriate and adequately explained/justified for the proposed research? To what extent are the subject sampling/selection/recruitment methods appropriate for the proposed research? To what extent are the selected outcome measure(s) appropriate and justified for the proposed research? To what extent are the proposed methods of data collection, reduction, and analysis or evaluation/assessment appropriate for the proposed research (and for quantitative studies, to what extent have the authors described the validity and reliability of the measurement tools)? To what extent are the methods, including subject recruitment and data collection and analysis, feasible within the proposed timeline of the study?
Research design and methods/materials appropriate and justified [rubric: Category 4A]
Appropriate sampling method [rubric: Category 4B]
Outcome measures appropriate and justified [rubric: Category 4C]
Data management appropriate. Quantitative data are valid and reliable [rubric: Category 4D]
Methods are feasible within proposed timeline [rubric: Category 4E]

9. Study Design Study Design Identify the design of the study
e.g. descriptive, comparative, longitudinal, case-control, quasi-experimental, randomized
Provide a rationale for why you chose this design using citations from the literature

10. Study Setting and Population
Where will the study take place?
i.e. community clinic, in participants’ homes
Are there unique aspects?
Urban vs. rural
If there are multiple locations for different tasks, make the number and types of sites clear
Note: Different settings may be associated with recruitment and attrition issues. This section offers context for applicability of future results and generalizability to other populations
Population
Demographic characteristics (gender, age, ethnicity etc.)
Sample

11. Recruitment and Retention
Where will participants be recruited?
By whom? When? How?
Expected recruitment rates
Main goal is to meet target sample size
Criteria for defining attrition
Duration of recruitment period
Plans to monitor
Incentives
Contact plan
Re-engagement plan
Eligibility criteria
Inclusion and exclusion criteria
Relate to demographic information; type of health condition, treatment/intervention received, diagnostic procedures, pregnancy etc.
Enrollment and consenting process
Note: Eligibility criteria can affect retention, attrition and generalizability
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12. Intervention
Staff training or other preliminary work to be completed prior to intervention
Intervention development (if appropriate)
Who, what, when
Theory
Prior work and foundational approaches
Stakeholder involvement
Description of the intervention
Treatment details (timing, dose, content, etc.)
Differences in treatment across groups
Attention to fidelity
Feasibility and validity
Don’t over promise
Use your preliminary research and scientific evidence base to justify your approach

13. Validated Measures Name and description of measure Purpose/rationale
i.e. interviews, surveys, measures of physical characteristics
Purpose/rationale
Citations and statistics related to reliability and validity – must be relevant to the target population
Number of items included in measure
How are they scored?
What constitutes a high/low score?
This Photo by Unknown Author is licensed under CC BY-NC

14. Expected Outcomes Primary Outcomes Secondary Outcomes
Of main interest
Indicate measure
Analysis metric (change from baseline, time to event)
Secondary Outcomes
Rationale for outcome choice
Note: Outcomes should be valid, reproducible, relevant to the population and directly linked to changes being studied
This Photo by Unknown Author is licensed under CC BY

15. Data Collection and Management
How and in what format will data be collected?
Who will collect data?
What procedures will be used?
Data Management
Who is responsible for managing the data?
How will the data be managed and stored?
What file formats will be used?
What are your local storage and backup procedures? Will this data require secure storage? If so, what security measures will be put in place?
How long should the data be retained?

16. Healthcare Development Center
Data Analysis
Examine analysis used in high quality studies similar to yours
Justify your chosen method as the best available
Proposed analyses (appropriate to the complexity of the project and the nature of the hypotheses)
Tie back to specific aims
Make a case that your analyses will detect effects including that it is sufficiently powered
Sample size and power calculations
Note: Early consultation with a statistician is recommended
This Photo by Unknown Author is licensed under CC BY-SA
Healthcare Development Center

17. Project Timeline
Even if it is not required, it can be helpful for clarifying what will happen when
Especially important if grant funds will not arrive at the start of an academic year
Two primary options:
Gantt Chart (Excel)
List (Excel or Word)

18. Project TimeLine Examples
Gantt Chart Format
List Format

19. Importance of Formatting
No!
Yes!

20. Common Mistakes in Clinical, Behavioral, and Population Research
Poor justification of the chosen design
Unrealistic or unsupported recruitment and retention expectations
Inadequate sample size / power and/or inadequate population for recruiting adequate sample
Insufficient intervention development and/or detail
Poorly documented or absent stakeholder involvement where required or expected
Measures inappropriate for the desired outcomes or target population
Too ambitious for budget and/or timeframe
Failure to engage and/or document involvement of partners
Inadequate analysis plan

21. CONTACT Title Position 202.xxxx-xxxx xxxx@hanoverresearch.com