Services

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What We Do

At Broadstreet we deliver solutions not formulas.
An open-minded and client-focused approach means we can customize our process to your needs.

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Observational Studies

Our team designs and conducts observational studies used to characterize the clinical landscape and burden of disease for a product’s indication; estimate treatment effectiveness or safety; or parameterize economic models. Specific study types include:​

Retrospective chart review studies, within which we recruit investigators, lead contracting and study operations, and conduct study design, data management and analysis, and reporting
Analysis of existing databases, including administrative data sources, electronic health records, and registries; with the appropriate processes for data storage and management of large datasets
Quantitative and qualitative surveys of patients, health practitioners, and/or the general public; including utilities or preference studies
Prospective observational studies of clinic- or community-based samples, to collect selected epidemiologic, economic, and clinician- and patient-reported outcomes (ClinROs and PROs)

The analytic methodologies applied within these studies are customized to the data source and research question at hand. Our team has hands-on experience with a wide range of standard and specialized methods for descriptive and inferential analysis, including the following:

Survival analysis
Generalized linear models
Mixed effects models
Bayesian methods
Methods to account for bias including propensity scores, instrumental variables, and marginal structural models

Study Design and Feasibility

All observational studies include a study design component, in which a client’s objectives are operationalized into a feasible study. Broadstreet HEOR provides strategic consulting services to compliment all our studies, working together with clients to design rigorous and efficient studies to best meet their needs.  In addition, we also offer “stand-alone” study design and feasibility studies, which may include the following:

Critical comparison of multiple methodological approaches to address a particular research objective
Development of a study protocol, to provide clients with a comprehensive assessment of study timelines, budget, strengths and limitations in advance of the decision to initiate a study
Critical review of existing administrative databases, electronic health records, and other data sources available to address question(s) of interest.  Customized tools can be created for clients to generate queries and identify optimal data sources in a given context
Contributing study design guidance to large multinational studies including disease registries

Evidence Synthesis

We provide rigorously conducted literature reviews to address a variety of research questions. Systematic literature reviews are conducted and reported in accordance with recommended guidelines (Cochrane Collaboration, PRISMA). We conduct systematic literature reviews to inform quantitative meta-analysis and network meta-analysis, as well as more descriptive reviews aimed at broadly characterizing the scientific literature with respect to a variety of research questions. In addition to formal systematic literature reviews, we also provide targeted literature reviews where a more efficient strategy best meets a client’s needs.

Following a systematic literature review, we design and implement state-of-the-art quantitative evidence syntheses, including indirect treatment comparisons and network meta-analysis. We analyze complex networks, including single-arm trials, observational studies, or the incorporation of individual patient data for a subset of comparators.

Health Economics

Our team has experience with developing HEOR models for a variety of contexts and settings.  Our approach to model development and adaptation is to work with clients to design a customized structure and interface, in accordance with submission requirements and guidelines for best practice.  Specific types of models include the following:

Pharmacoeconomic and budget impact models for HTA submission (NICE, SMC, CADTH) and peer-reviewed publication
Adaptation of global / core models for local submissions
Early-stage models to guide priorities related to products in Phases I/II
Burden of illness models synthesizing multiple data sources
Risk-benefit and multi-criteria decision models characterizing intended and unintended effects of medications

HEOR Technology Services

We deliver value to our clients by making their data clear, impactful and accessible to wider audiences. Our team of IT specialists allows us to offer customized and cutting-edge solutions for technological needs that arise with both study conduct and data dissemination.