Using a big-data approach in studying patient behavior related to non-adherence to medication due to cost

Mentor
Xuejie Zhang, PhD
Medicine
Mentor
David Meltzer, MD, PhD
Medicine - Hospital Medicine

Description

We have received an NIH grant to use a big-data approach in studying patient behavior related to non-adherence to medication due to cost. Possible learning opportunities for interested students include behavioral health, medication non-adherence, medication costs, big-data techniques, and statistical modeling. No previous experiences in these areas are required. However, some familiarity with statistical software such as Stata is preferred. Please contact Dr. James Zhang at xzhang1@medicine.bsd.uchicago.edu directly if interested.

Specific Aims

To study (a) prevalence of patient behavior related to non-adherence to medication due to cost; (b) risk factors for patient behavior related to non-adherence to medication due to cost; (c) predictive modeling of patient behavior related to non-adherence to medication due to cost.

Methods

Researching patient behavior related to non-adherence to medication due to cost using survey-based data as well as claims-based data. Statistical modeling including binomial logit model and machine-learning predictive modeling technique. Big-data approach.

Required Software

Stata or SAS.

Scholarship & Discovery Tracks: Clinical Research, Community Health, Health Services & Data Sciences, Healthcare Delivery Improvement Sciences
NIH Mission Areas: NIA - Aging