Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-25T16:31:23.449Z Has data issue: false hasContentIssue false

ANALYZING 10 YEARS OF EARLY AWARENESS AND ALERT ACTIVITY IN THE UNITED KINGDOM

Published online by Cambridge University Press:  14 September 2012

Claire Packer
Affiliation:
University of Birmingham email: c.packer@bham.ac.uk
Matthew Fung
Affiliation:
University of Birmingham
Andrew Stevens
Affiliation:
University of Birmingham

Abstract

Objectives: The aim of this study was to assess the accuracy of the English National Horizon Scanning Centre (NHSC) in identifying and filtering pharmaceutical developments using end user and international collaborator databases of emerging technologies as proxies for new drugs of likely significance to health services and/or patients.

Methods: We used the NHSC information system and the list of National Institute for Health and Clinical Excellence (NICE) technology appraisals to estimate the false positive rate for NHSC identification, filtration, and reporting. We assessed the sensitivity of NHSC identification and filtration of pharmaceuticals for NICE technology appraisals from 1999 to the end of December 2010, and for pharmaceuticals entered into the EuroScan International Network database.

Results: We estimate that overall NHSC identification, filtration and reporting had a positive predictive value of 0.39 (95 percent CI, 0.36 to 0.43) and a false positive rate of 60 percent. Using NICE appraisals and EuroScan's database as proxies for pharmaceuticals of significance, we estimate the NHSC sensitivity over the 10-year period at 0.92 (95 percent CI, 0.89 to 0.95) and 0.89 (95 percent CI, 0.82 to 0.96) respectively.

Conclusions: Our results suggest that the NHSC has performed well in terms of sensitivity over the past decade, but that the false positive rate of 60 percent may indicate that the filtration criteria for pharmaceuticals could be tightened for increased efficiency. Future evaluations of EAA systems should include an element of external review and explore the level of accuracy acceptable to funders and customers of such systems.

Type
THEME: EARLY AWARENESS AND ALERT (EAA) METHODS AND SYSTEMS
Copyright
Copyright © Cambridge University Press 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1.Douw, K, Vondeling, H. Selective new health technologies for evaluation: Can clinical experts predict which new anticancer drugs will impact on Danish health care? Soc Sci Med. 2007;64:283286.CrossRefGoogle ScholarPubMed
2.Ibargoyen-Roteta, N, Gutierrez-Ibarluzea, I, Benguria-Arrate, G, Galnares-Cordero, L, Asua, J. Differences in the identification process for new and emerging health technologies: Analysis of the EuroScan database. Int J Technol Assess Health Care. 2009;25:367373.CrossRefGoogle ScholarPubMed
3.Mundy, L, Merlin, T, Hiller, JE. Early alert systems for new pharmaceuticals - do they have an impact on pharmaceutical public reimbursement decisions? A cross-national comparison. Poster Presentation. Globalisation and Health Technology Assessment. 6th Annual Meeting, Health Technology Assessment international (HTAi), Singapore, 21–24 June, 2009.Google Scholar
4.Murphy, K, Packer, C, Stevens, A, Simpson, S. Effective early warning systems for new and emerging health technologies: Developing an evaluation framework and an assessment of current systems. Int J Technol Assess Health Care. 2007;23:324330.CrossRefGoogle Scholar
5.Packer, C. The National Horizon Scanning Centre (NHSC): Early warning for new and emerging health technologies in England. Evid Based Healthc Public Health. 2005;9:410413.CrossRefGoogle Scholar
6.Packer, C, Simpson, S, Stevens, A. International diffusion of new health technologies: A ten-country analysis of six health technologies. Int J Technol Assess Health Care. 2006;22:419428.CrossRefGoogle ScholarPubMed
7.Simpson, S, Hyde, C, Cook, A, Packer, C, Stevens, A. Assessing the accuracy of forecasting: Applying standard diagnostic assessment tools to a health technology early warning system. Int J Technol Assess Health Care. 2003;20:381384.CrossRefGoogle Scholar
8.Stevens, A, Packer, C, Robert, G. Early warning of new health care technologies in the United Kingdom. Int J Technol Assess Health Care. 1998;14 (4):680686.CrossRefGoogle ScholarPubMed
Supplementary material: File

Packer supplementary material

Packer supplementary material

Download Packer supplementary material(File)
File 39.4 KB