Materials from the 2025 GIFT Summer Bootcamp on Implementation Science and Biostatistics are now available for access. Participants and interested professionals can explore the full agenda, speaker bios, and presentations to revisit content or learn from the training.

Track 1 – Implementation Science

Day 1

Title
Using Routine Data for Implementation Evaluation Lessons from the Rollout of New TB Regimens in Georgia – V. Mirtskhulava
Using Qualitative and Mixed Methods Research to Strengthen Implementation Science – D. Humphries
Study Designs and Methods for Implementation Research – D. Esserman
Implementation Strategies Demystified Selecting, Combining & Sequencing to Facilitate Change – F. Altice
HIV:AIDS in Georgia The Current State, Achievements and Challenges – A. Abutidze
HIV in Eastern Europe and Central Asia (EECA) Closing the Gap Between Evidence and Routine Practice – N. Chkhartishvili
Designing and Evaluating a Data-Driven Dashboard to Support Evidence-Informed PrEP Delivery in Georgia – A. Chavchavadze
Barriers and Facilitators to Pre-exposure Prophylaxis (PrEP) Uptake Among Key Populations (KPs) in Georgia A Pre-Implementation study – T. Mgebrishvili
An Overview of Implementation Science What it is and what it is not! – L. Davis

Day 2

Title
Writing an Implementation Science Manuscript – L. Davis
Towards Hepatitis C Elimination in Georgia Successes, Challenges, and the Road Ahead – D. Baliashvili
Revisiting Implementation Scaling up Opioid Agonist Therapies in Ukraine – E. Machavariani
Introduction to NIATx A Bundle of Blended Implementation Science Strategies – L. Madden
Implementation Research from Basics to Advanced Terminology, Frameworks, & Theories to Guide the Process – L. Davis
Implementation of the evidence-based substance use screening, brief intervention and referral in the prenatal healthcare system – I. Natsvlishvili
How to conduct a literature review – K. Nyhan
Addressing the Syndemic of Substance Use and Mental Health Pre-Implementation Assessment of SBIRT in Georgian Harm Reduction Services – M. Pashalishvili
Addressing HIV Disclosure Challenges Pre-Implementation Assessment of a Decision Aid Intervention Among PLHIV in Georgia – T. Zurashvili

Day 3

Title
Tuberculosis Systematic Screening and Preventive Treatment among Household and Close Contacts of People with Infectious Tuberculosis and People Living with HIV in Georgia – K. Meskhi
Pre-Implementation Strategies A Deeper Dive into Nominal Group Technique Hands-on Experience – L. Madden
Mastering the Data Maze Best Practice for Streamlined Research Data Management – L. Katsovich
Mapping Expert Recommendations for Implementing Change (ERIC) Strategies to the Stages of Implementation Completion® (SIC) Process A Universal Approach for Implementation Across Contexts – E. Burduli
Improving HIV service delivery for people who inject drugs in Kazakhstan implementation science study – A. Terlikbayeva
Exploring Innovative Delivery Strategies for Substance Use Prevention Among Adolescents Effectiveness, Cost-Effectiveness and Process Evaluation – D. Otiashvili
Evaluation of tuberculosis preventive treatment among persons living with HIV in the country of Georgia – M. Buziashvili
Are We Doing What We Planned? Measuring Fidelity in Implementation Science – D. Otiashvili

Day 4

Title
Standards for Reporting Implementation Studies the StaRI checklist for completion
The Pre-Implementation Study of Feasibility and Acceptability of Using HIV Self-tests among PWID via SVM – M. Sherozia
Scaling Up Opioid Agonist Treatment for HIV Prevention in Probation System in Georgia – L. Salamadze
Real-World Implementation During Disruptions Strategies to Support Sustainability – F. Altice
NIATx Workshop – L. Madden
Methodological and Statistical Considerations in Implementation Science – D. Esserman

Track 2 – Core Biostatistics

Core Biostat

Title
Textbooks suggested by Prof. T. Kiriakides
Peduzzi_NumEventsPerVar_LogisticReg
Day 04 Part 9 Survival Analysis
Day 04 Part 8 Repeated Measures
Day 04 Part 7 Sample size and power
Day 04 Part 6 Study Designs
Day 03 Part 5 Categorical Data, Chi-square, Logistic
Day 03 Part 4 Correlation and Regression
Day 02 Part 3 Parametric and Non-parametric comparisons
Day 02 Part 2 Probability
Day 01 Part 1 Descriptive stats

R code and datasets

Title
salary
iMAP_Final_Data
iMAP_Final_data_long
iMAP_Final_data_clean2
iMAP_Final_data_clean
iMAP study description
Experiment3
Experiment2
Experiment
Examples in R

Track 3 – Advanced Biostatistics

Missing data – Data Files

Title	Size
data3
data2
data1
college

Missing data – Examples

Title
Missing Data IN CLASS Example 2
Missing Data IN CLASS EXAMPLE 1
MISSING DATA CLASS WORKSHEET

Missing data – Solutions

Title
Missing Data.R
Missing Data Lecture 2025
Missing Data IN CLASS Example 2 with SOLUTION
Missing Data IN CLASS EXAMPLE 1 with SOLUTIONS
MISSING DATA CLASS WORKSHEET with SOLUTIONS

Georgian Implementation Science Fogarty Training Program

Bootcamp 2025

Track 1 – Implementation Science

Track 2 – Core Biostatistics

Track 3 – Advanced Biostatistics

Bootcamp 2025

Track 1 – Implementation Science

Track 2 – Core Biostatistics

Track 3 – Advanced Biostatistics

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