Invitation to contribute to a themed issue of PharmacoEconomics

“Big Data and its Application in Health Economics and Outcomes Research”

We are planning a themed issue of PharmacoEconomics on big data. The purpose of this themed issue is to advance the application of methods and analytics relevant to the use of big data in health economics and outcomes research (HEOR). This issue will become a valuable source of innovative methods and concepts specific to HEOR.

This Call for Papers arose out of the growing international interest in big data and the concurrent recognition that researchers trained in HEOR lack a collective source of papers that tackle emerging concerns for HEOR with regards to the availability of big data. Conceptual papers will discuss best practices, challenges and opportunities for the conduct of HEOR using big data. Applied papers will focus on methods for the analysis of patient-level data or the use of big data in mathematical modeling/simulation. We welcome contributions from diverse fields such as HEOR, operations research, business, finance, computer science, and engineering.

Given the purpose of this theme issue, it is important that the papers present a clear, accessible discussion that would engage researchers unfamiliar with the topic. Applied papers should present material in a way that supports the practical use of the methods among HEOR scientists. Each submitted paper should accomplish the following objectives: 1) place the paper at the intersection of big data and HEOR; 2) provide a well-balanced discussion of the practical implications or applications of their paper; 3) discuss how the paper supports the field of HEOR in harnessing the availability of big data.

Priority will be given to papers that have potential to be of practical use to the HEOR community, decision makers and payers. Papers in any of the following categories will be considered

I. General Overview articles

II. Computing Issues with Big Data

III. Data Quality Issues

IV. Current Analytical Issues

V. Emerging Methods of Analysis

VI. Characteristics of Claims-Based Databases

VII. Addressing Uncertainty

If you would like to contribute to one of these themes, please submit an abstract of up to 400 words by 31st December 2014 to chris.carswell@springer.com. Authors of selected abstracts will be notified by the end of January 2015 and asked to submit their final manuscript by 30th April 2015.
Ebere Onukwugha
Guest Editor

Christopher Carswell
Editor in Chief, PharmacoEconomics

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