Health Analytics offers a vast range of studies to deliver real-world evidence. Detailed below are the typical uses for the diverse types of research study designs offered by Health Analytics.
NOTE: Deliverables can be customized based on client needs.
|Study||Design and Methods||Study Deliverablesα|
|Case Reports and Series||In-depth investigations into individual patient experiences or a consecutive series of patients presenting for a healthcare encounter.||- IRB Approved Study Protocol - Final Report - Executive Summary of Results|
|Systematic Literature Review and Meta-Analysis||Systematic literature reviews (SLR), with or without the corresponding meta-analysis, offer critical assessments and evaluation of the current state of knowledge. By systematically identifying, retrieving, and reviewing all peer-reviewed publications on a specific clinical issue, systematic literature reviews and meta-analyses are essential for identifying gaps in current knowledge and guiding the development of a thoughtful future research agenda.||- IRB Approved Study Protocol - Statistical Analysis Plan - Final Report - Executive Summary of Results - Final List of Included Studies - PDFs of All Included Studies|
|Secondary Analysis of Controlled Clinical Trials||Health Analytics performs a re-analysis of de-identified, individual participant data from a recently performed controlled clinical trial to gain preliminary insights into important supplemental research questions.||- IRB Approved Study Protocol - Statistical Analysis Plan - Final Report - Executive Summary of Results|
|Prospective Observational Cohort Study||In this study design, Health Analytics identifies and recruits clinics or clinicians, patients, or caregivers in a prospective study. In collaboration with the client, Health Analytics designs a research questionnaire and examines outcomes (e.g., development of a disease, product satisfaction or quality) specific to your research questions, business objectives and target populations. Using this design, individuals with a certain experience, condition, or receiving a particular treatment, can be surveyed at one time, or followed longitudinally, and compared with another group of individuals unaffected by the condition, not receiving treatment or that had a different experience .||- IRB Approved Study Protocol - Statistical Analysis Plan - Final Report - Executive Summary of Results|
|Retrospective Cohort Study||In this study design, an eligible population is defined based on historical information and followed forward using previously collected healthcare or administrative data to identify outcomes of interest. A single eligible population with a certain condition can be explored for outcomes of interest, or compared for outcomes of interest, with another group of individuals who are not affected by the condition.||- IRB Approved Study Protocol - Statistical Analysis Plan - Final Report - Executive Summary of Results|
|Case-Control Study||Case-control studies begin with the outcomes and do not follow people over time. Health Analytics would choose individuals with a particular result (the cases) and interview the groups or examine records to determine what different experiences they had. We would compare the odds of having an experience with the outcome to the odds of having an experience without the outcome.|