Data Access, Analysis, and Communications

Value Proposition Development:
From finding and analyzing the right data to communicating in the right mediums to the correct audiences 

Data access is dependent on choosing the right database to meet the objectives of our clients and their projects. By accessing private, federal, and state data sources, we can tailor our data source to meet each individual client’s unique needs.


Data sources

  • We work with clients to identify the right data sources to meet study needs—because not all data sources work for all kinds of research.
  • We use a combination of different types of data such as claims, human resources, electronic medical records, laboratory test values, and government data.
  • We can work with your own data, help obtain data from a variety of sources, or provide turnkey analytical solutions.
  • We have a network of affiliated clinical experts in many disciplines, with whom to consult.
  • We use unique methods of dissemination of data to key customers and opinion leaders.

What We Do

Taking Data to the Next Level

Our team of affiliated researchers can access and analyze:

Unique Data (Access Either Exclusively Thru BH-WW or Our Partners)
  • US Employer-based longitudinal data with information on:
    • Benefit design, co-pays, deductibles, out-of-pocket costs
    • Demographics, job-related data
    • Direct medical and prescription information
    • Indirect absence time and costs (with eligibility) for four absence types
    • Presenteeism
  • US specialty managed condition data with embedded outcomes:
    • Disease-specific databases (because relevant outcomes vary by disease)
  • US Health plan formulary status and coverage data
Medical and Prescription Claims from Integrated Managed Healthcare Data
  • US commercially available data from the large aggregators:
    • Medicaid
    • Medicare
    • Commercially insured
  • US single sponsor databases
US Government Data
  • Department of Veterans Affairs databases
  • Government-based data:
    • Medicaid
    • Medicare
    • Veterans administration
    • Military
    • Dual-eligible populations
  • State-specific Medicaid data
Survey-based Data
  • Survey data from patients, the general population, and healthcare providers:
    • US Survey data from a custom (private) cross-sectional survey of the US adult population
    • International
    • Domestic
Other Types of Data
  • Hospital-based data
  • Chain specialty treatment clinic data
  • Pharmacy chain-specific data (with information on cash paying patients)
  • Over-the-counter data with links to consumer products and medical and prescription component

Our team has experience analyzing:

  • Direct and indirect costs
  • Absenteeism
  • The severity of illness
  • Objectively-measured data
  • Survey responses
  • Patient data
  • Caregiver impact
  • Persistence and compliance with the ability to control for salary and patient co-pays
  • Comorbidities using standardized and validated criteria

Statistical Analysis

  • T-tests and chi-square tests used for descriptive information
  • For the right statistical plan for the data, we typically use:
    • Two-stage regression modeling
      • Logistic models for the likelihood of having nonzero data for each outcome
      • Generalized linear models for each outcome variable while

        controlling for differences in demographics, job-related variables, and geography

    • Propensity-matched cohorts when appropriate

Recent Retrospective Database Projects

  • Comparing the costs and absences associated with rare disorders such as acromegaly
  • Persistence and adherence with disease-modifying drugs in patients with multiple sclerosis
  • The impact of sub-optimal treatment adherence on costs and absences
  • Impact on employee caregivers of family members:
    • Mental illnesses and suicidal ideation
    • Medication for the management of epilepsy

Additional Database Experience

  • Identification of patients tolerant of therapies
  • Examination of the costs, prevalence, and services of standardized comorbidity categories associated with various conditions and the relationships of comorbidity categories to specific conditions
  • Comparisons of fixed-dose combination products with low-dose combination products with regard to costs, absences, and patient persistence with therapies
  • Comparative research on the impact of add-back therapy on patient compliance in persons with endometriosis
  • Impact of plan design and co-pays on patient persistence with and adherence to therapies
  • Use of Medicaid data, annual time frames, and prepost designs