Peer Review and Transparency in Evidence-Source Selection in Value and Health Technology Assessment

Abstract

Objectives

Value and health technology assessment (V/HTA) is often used in clinical, access, and reimbursement decisions. V/HTA data-source selection may not be transparent, which is a necessary element for stakeholder understanding and trust and for fostering accountability among decision makers. Peer review is considered one mechanism for judging data trustworthiness. Our objective was (1) to use publicly available documentation of V/HTA methods to identify requirements for inclusion of peer-reviewed evidence sources, (2) to compare and contrast US and non-US approaches, and (3) to assess evidence sources used in published V/HTA reports.

Methods

Publicly available methods documentation from 11 V/HTA organizations in North America and Europe were manually searched and abstracted for descriptions of requirements and recommendations regarding search strategy and evidence-source selection. The bibliographies of a subset of V/HTA reports published in 2018 were manually abstracted for evidence-source types used in each.

Results

Heterogeneity in evidence-source retrieval and selection was observed across all V/HTA organizations, with more pronounced differences between US and non-US organizations. Not all documentation of organizations’ methods address the evidence-source selection processes (7 of 11), and few explicitly reference peer-reviewed sources (3 of 11). Documentation of the evidence-source selection strategy was inconsistent across reports (6 of 13), and the level of detail provided varied across organizations. Some information on evidence-source selection was often included in confidential documentation and was not publicly available.

Conclusions

Disparities exist among V/HTA organizations in requirements and guidance regarding evidence-source selection. Standardization of evidence-source selection strategies and documentation could help improve V/HTA transparency and has implications for decision making based on report findings.

Authors

Bansri Desai T. Joseph Mattingly II Remon W.M. van den Broek Ngan Pham Megan Frailer Joseph Yang Eleanor M. Perfetto

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