Systematic Review and Meta-Analysis Focused on the Cost-Effectiveness of Task Shifting and Training Healthcare Professionals to Detect and Manage Cardiovascular Diseases in Low- and Middle-Income Countries (LMICs)
We are seeking a motivated and detail-oriented Research Assistant (RA) to support a systematic review and meta-analysis focused on the cost-effectiveness of task shifting and training healthcare professionals to detect and manage cardiovascular diseases in low- and middle-income countries (LMICs). This project aims to evaluate economic and clinical outcomes associated with task-shifting strategies, identifying evidence-based practices that address resource gaps and improve cardiovascular care in LMIC settings.
The Tobin RA will work closely with faculty investigators to:
- Design and develop a systematic review protocol following established guidelines (e.g., PRISMA-P).
- Conduct literature searches and screen articles for inclusion.
- Extract, organize, and clean data from eligible studies.
- Assist in synthesizing findings, including meta-analyses and qualitative summaries.
- Produce descriptive statistics and tables summarizing key results.
- Contribute to drafting manuscripts for publication.
- Track search strategies, manage citations using reference management software, and support project management.
This role provides a unique opportunity to gain experience in global health research, systematic reviews, and cost-effectiveness analysis while contributing to impactful work in cardiovascular disease management.
Requisite Skills and Qualifications:
Required:
- Familiarity with systematic review methodology (e.g., PRISMA) and meta-analysis.
- Experience or interest in creating a systematic review protocol.
- Basic understanding of cost and cost-effectiveness analyses in health care.
- Strong organizational skills and attention to detail.
- Ability to conduct literature reviews and synthesize findings concisely.
- Proficiency in reference management tools (e.g., EndNote, Zotero, or Mendeley).
- Strong written and verbal communication skills.
Desired:
- Experience with data analysis software such as Stata, R, or Python.
- Prior experience in data cleaning and management.
- Knowledge of academic writing and publication standards.
- Interest in global health, economics, or cardiovascular disease management.
- Self-motivation and ability to work independently while collaborating with a research team.