Quantitative Research Compliance for Health Training Course

Course Overview

Quantitative Research Compliance for Health Training Course is designed to equip healthcare professionals, public health specialists, epidemiologists, researchers, monitoring and evaluation officers, clinical investigators, health program managers, biostatisticians, and research compliance personnel with comprehensive knowledge and practical skills in designing, implementing, managing, and reporting quantitative health research while complying with international ethical, scientific, regulatory, and quality standards. As healthcare organizations increasingly rely on evidence-based medicine, Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Health Management Information Systems (HMIS), Universal Health Coverage (UHC), Sustainable Development Goals (SDGs), implementation science, clinical research, operational research, and health systems strengthening, quantitative research has become a cornerstone for generating reliable evidence to guide policy, improve healthcare delivery, strengthen accountability, and optimize health outcomes. This comprehensive course enables participants to conduct high-quality quantitative research that meets international compliance requirements and supports healthcare innovation.

The course provides participants with practical experience in quantitative research design, epidemiological studies, clinical research compliance, biostatistics, sampling methodologies, hypothesis testing, research ethics, Good Clinical Practice (GCP), Good Research Practice (GRP), institutional review processes, data governance, statistical analysis, quality assurance, healthcare regulations, and scientific reporting. Participants will learn how to design and implement compliant quantitative studies in maternal and child health, communicable diseases, non-communicable diseases, HIV/AIDS, tuberculosis, malaria, nutrition, immunization, health systems research, digital health, pharmaceutical research, emergency preparedness, and humanitarian health programs. The training integrates quantitative research with DHIS2, Health Management Information Systems (HMIS), SurveyCTO, KoboToolbox, ODK, SPSS, STATA, R, Power BI, GIS, and healthcare dashboards to strengthen data quality, regulatory compliance, and evidence-based decision-making.

Participants will further explore advanced concepts including research governance, data quality management, clinical trial regulations, observational study compliance, statistical quality control, healthcare data privacy, international reporting guidelines such as CONSORT, STROBE, TREND, and RECORD, FAIR data principles, artificial intelligence-assisted statistical analysis, predictive analytics, implementation science, and health policy research. Practical exercises demonstrate how quantitative research supports healthcare planning, disease surveillance, program evaluation, resource allocation, quality improvement, patient safety, donor reporting, and strategic healthcare management while maintaining compliance with national and international regulatory requirements.

Through instructor-led lectures, software demonstrations, practical statistical exercises, collaborative workshops, research simulations, and comprehensive healthcare case studies, participants will gain hands-on experience in conducting compliant quantitative health research from protocol development and ethical approval to data analysis, interpretation, publication, and dissemination. Upon successful completion of the course, participants will possess the technical expertise required to strengthen healthcare research governance, improve regulatory compliance, enhance organizational research capacity, support evidence-informed policy development, promote scientific integrity, and improve healthcare outcomes across ministries of health, hospitals, universities, research institutions, NGOs, humanitarian organizations, pharmaceutical companies, and international development agencies.

Course Objectives

1. Understand the principles and standards of quantitative health research compliance.
2. Design scientifically rigorous and compliant quantitative health studies.
3. Apply ethical, legal, and regulatory requirements in quantitative research.
4. Develop statistically sound sampling strategies and research methodologies.
5. Conduct quantitative data collection using digital health technologies.
6. Perform statistical analysis using internationally accepted methods.
7. Ensure data quality, security, and governance throughout research projects.
8. Prepare research reports that comply with international reporting standards.
9. Strengthen evidence-based healthcare policy and program decision-making.
10. Promote scientific integrity, accountability, and continuous quality improvement.

Organizational Benefits

1. Strengthens compliance with healthcare research regulations and ethical standards.
2. Improves the quality and credibility of quantitative research outputs.
3. Enhances evidence-based healthcare planning and policy formulation.
4. Supports donor compliance and scientific reporting requirements.
5. Strengthens organizational monitoring, evaluation, and research systems.
6. Improves healthcare quality, patient safety, and service delivery.
7. Enhances institutional capacity in statistical analysis and data management.
8. Promotes organizational transparency, accountability, and governance.
9. Supports innovation through high-quality health research.
10. Improves strategic decision-making using reliable quantitative evidence.

Target Participants

This course is suitable for:

• Public Health Researchers
• Epidemiologists
• Biostatisticians
• Monitoring and Evaluation Officers
• Health Program Managers
• Clinical Researchers
• Research Compliance Officers
• Institutional Review Board Members
• Health Information Managers
• Hospital Administrators
• Ministry of Health Officials
• Data Analysts
• Health Informatics Specialists
• NGO and Humanitarian Project Staff
• Pharmaceutical Research Professionals
• Academic Researchers
• Policy Analysts
• Healthcare Consultants
• Quality Improvement Officers
• Professionals responsible for healthcare research, compliance, monitoring, evaluation, and policy development.

Course Outline

Module 1: Foundations of Quantitative Health Research

• Principles of quantitative research
• Research paradigms
• Types of quantitative studies
• Healthcare research applications
• Scientific research process
• International research standards

Case Study: Designing a quantitative study to evaluate maternal healthcare outcomes.

Module 2: Research Ethics and Regulatory Compliance

• Research ethics
• Institutional Review Boards (IRBs)
• Informed consent
• Participant protection
• Good Clinical Practice (GCP)
• National and international regulations

Case Study: Obtaining ethical approval for a nationwide immunization effectiveness study.

Module 3: Research Design and Protocol Development

• Cross-sectional studies
• Cohort studies
• Case-control studies
• Experimental designs
• Clinical trials
• Protocol writing

Case Study: Developing a compliant protocol for evaluating tuberculosis treatment outcomes.

Module 4: Sampling Techniques and Sample Size Determination

• Probability sampling
• Non-probability sampling
• Sample size calculations
• Sampling error
• Power analysis
• Participant recruitment

Case Study: Determining an appropriate sample size for a national nutrition survey.

Module 5: Quantitative Data Collection

• Questionnaire development
• Digital data collection
• SurveyCTO implementation
• KoboToolbox and ODK
• Data quality assurance
• Field supervision

Case Study: Conducting digital household surveys for healthcare access assessment.

Module 6: Data Management and Statistical Analysis

• Data cleaning
• Data validation
• Descriptive statistics
• Inferential statistics
• Regression analysis
• Statistical interpretation

Case Study: Analyzing healthcare utilization data using SPSS and R.

Module 7: Healthcare Data Governance and Compliance

• Data governance
• Confidentiality
• Data privacy
• Data security
• FAIR data principles
• Regulatory documentation

Case Study: Managing confidential patient data in a national health research project.

Module 8: Research Quality Assurance and Monitoring

• Quality management systems
• Research monitoring
• Audit procedures
• Standard Operating Procedures (SOPs)
• Risk management
• Compliance reviews

Case Study: Conducting a quality audit for a multicenter clinical research study.

Module 9: Reporting and Scientific Publication

• CONSORT guidelines
• STROBE reporting
• TREND guidelines
• Scientific manuscript preparation
• Policy briefs
• Technical reports

Case Study: Preparing a publication-ready report on healthcare quality improvement research.

Module 10: Advanced Statistical Applications

• Multivariate analysis
• Survival analysis
• Longitudinal analysis
• Predictive modeling
• Machine learning applications
• Healthcare dashboards

Case Study: Developing predictive models for hospital readmission rates.

Module 11: Evidence-Based Decision Making

• Evidence synthesis
• Policy analysis
• Healthcare planning
• Program evaluation
• Strategic recommendations
• Knowledge translation

Case Study: Using quantitative evidence to improve national maternal health policies and resource allocation.

Module 12: Emerging Trends in Quantitative Health Research

• Artificial Intelligence in health research
• Big data analytics
• Real-world evidence
• Digital clinical research
• Precision public health
• Future trends in quantitative research

Case Study: Implementing an AI-powered quantitative research platform integrating electronic health records, predictive analytics, and real-time healthcare decision support to improve national health outcomes.

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical statistical exercises, software demonstrations, web-based tutorials, collaborative group work, research simulations, and real-world healthcare case studies. Our facilitators are seasoned experts with over a decade of experience in epidemiology, biostatistics, public health research, healthcare compliance, monitoring and evaluation, and health systems strengthening.
4. Certification: Upon successful completion of the training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of training days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call +254712260031.
14. Website: Visit www.fdc-k.org for more information.