Observational Database Analysis for Pharma


KMK data analyst experts are ready to help with evaluations of the many healthcare related databases, a comparison of the findings and a results analysis.

Decisions in the pharmaceutical industry require an understanding of the disease landscape and the many stakeholders within that landscape. This understanding requires an evaluation of data resulting from an exploration of the many databases, a comparison of the findings and a results analysis. KMK has a team of data analyst experts ready to help with a variety of observational database projects.

We have extensive experience in providing clients with the actionable insights resulting from observational database analysis in:

Disease Epidemiology Database Analysis

where we can identify the size of a disease population, the prevalence and incidence rate of the disease, and the patient profile. Project examples include:

  • A national estimation on obesity population
  • Identifying the heart failure mortality rate by county level
  • An epidemiology of patients with high serum triglyceride TG level
  • A disease landscape analysis for asthma, NASH, excessive daytime sleepiness, etc.
  • Uncovering the geographic location of Type II Diabetes, NAFLD and NASH patients by MSA level

Burden of Illness Database Analysis

where we can identify statistics on morbidity, mortality and adverse events, direct healthcare resource utilization and cost, and indirect healthcare costs such as loss of productivity. Project examples include:

  • Examining the severity of impact on health care costs from multiple sclerosis relapses
  • Uncovering the direct costs resulting from patients with psoriatic arthritis and healthcare resource utilization
  • Quantifying follow-up visits after heart failure hospitalization
  • Identifying the percentage of post-MI patients who regularly visited their cardiologist and primary care physicians
  • The estimated productivity loss among U.S. employees with multiple sclerosis

Treatment Pathway Database Analysis

where we examine market share by product, a line of therapy and treatment switch patterns.  Project examples include:

  • Switch tree analysis for rheumatoid arthritis patients before and after the introduction of a novel mechanism of action agent
  • Identifying treatment patterns among patients with neuropathic pain

Medication Utilization Database Analysis

where we examine medication adherence and persistence and medication dosing patterns. Project examples include:

  • An assessment of adherence and persistence with biologics among psoriasis patients
  • An identification of statin use among resistant hypertension patients

Comparative Effectiveness Database Analysis

where we compare the benefits and detriments of different interventions in real world settings. A project example is:

  • Identifying real world relapse rates on cycling injectable disease-modifying therapies with oral disease-modifying therapies