Real World Evidence Study: Medication Adherence in Canada- NS-015Project type: Research
Desired discipline(s): Epidemiology / Public health and policy, Life Sciences, Pharmacy / Pharmacology, Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences
Company: Blue Charm Adherence
Project Length: Longer than 1 year
Preferred start date: 06/01/2021
Language requirement: English
Location(s): Halifax, NS, Canada; Canada
No. of positions: 1
Desired education level: CollegeUndergraduate/BachelorMaster'sPhDPostdoctoral fellow
About the company:
Blue Charm Adherence is a HealthTech company located in Atlantic Canada. We are currently developing patient-centric solutions to medication non-adherence in chronic illness.
Describe the project.:
This study will consist of a 3-year retrospective review of prescription claims data, leading into current and future models, combined with qualitative data from our own proprietary technology. Our goal is to uncover any correlations, causations or relationships between MPR (Medication Possession Ratios), claims data, patient-reported factors and resulting health outcomes (comorbidity & mortality).
The candidate(s) will be responsible for developing and implementing the study design, and for analyzing pharmacy prescription claims data as well as user data from Blue Charm’s proprietary mobile application, organizing and reporting results.
A pragmatic approach may be required. Researchers will be responsible for the observation and organization of secondary quantitative data from external source A, and mapping out the study while considering and collecting concurrent and future data from the same source. Additionally, qualitative and quantitative primary data will be collected through internal source B via surveys and observation of user behaviour. Appropriate methods will be applied to determine any potential variable relationships, patterns or correlations.
- Competency in design & development of mixed-methodology research plan.
- Ability to amalgamate data from multiple sources into single database.
- Familiarity with health/patient data.