Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-19T12:39:14.633Z Has data issue: false hasContentIssue false

Integrating local data into hospital-based healthcare technology assessment: Two case studies

Published online by Cambridge University Press:  29 June 2010

Matthew D. Mitchell
Affiliation:
University of Pennsylvania Health System
Kendal Williams
Affiliation:
University of Pennsylvania School of Medicine and University of Pennsylvania Health System
Patrick J. Brennan
Affiliation:
University of Pennsylvania School of Medicine and University of Pennsylvania Health System
Craig A. Umscheid
Affiliation:
University of Pennsylvania School of Medicine and University of Pennsylvania Health System

Abstract

Objectives: Health technology assessment (HTA) programs influence practice on a broad scale through reimbursement decisions or national guidelines. Hospital-based HTA programs inform clinical decisions at the local level. Typically, they do this by adapting general HTA to their local setting, or by creating new HTA. However, unlike payer-based HTA organizations, hospital-based HTA organizations can also integrate local data into their reports.

Methods: We describe two examples of local data integrated into hospital-based HTA. In the first, qualitative data were used to select a new cardiac catheterization lab. In the second, quantitative data was used to inform a decision on whether to continue telemedicine services to critical care units. Local evidence sources included equipment service records, and interviews with physicians, technicians, and administrative staff in the first example, and the hospital's administrative and claims databases in the second example.

Results: In each case, there was little evidence from the peer-reviewed literature that could be applied to the decision. In the first example, staffing patterns and local preferences had considerable bearing on technology choices. In the second example, local outcomes data from administrative records were decisive.

Conclusions: Hospital-based HTA using local data can fill gaps in the published evidence, and also improve the generalizability of evidence to the local setting. To take advantage of local evidence, health systems should encourage the development of hospital-based HTA centers, seek out local preference data, and maintain databases of patient outcomes and utilization of services.

Type
ASSESSMENTS
Copyright
Copyright © Cambridge University Press 2010

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. Battista, RN, Côté, B, Hodge, MJ, Husereau, D. Health technology assessment in Canada. Int J Technol Assess Health Care. 2009;25 (Suppl 1):5360.CrossRefGoogle ScholarPubMed
2. Breslow, MJ, Rosenfeld, BA, Doerfler, M, et al. Effect of a multiple-site intensive care unit telemedicine program on clinical and economic outcomes: An alternative paradigm for intensivist staffing. Crit Care Med. 2004;32:3138.CrossRefGoogle ScholarPubMed
3. Cicchetti, A, Marchetti, M, Di Bidino, R, Corio, M. Hospital based health technology assessment world-wide survey. Edmonton: Health Technology Assessment International; 2008.Google Scholar
4. Lawinski, C, Emerton, D, Mackenzie, A, et al. Cardiovascular imaging systems: A comparative report. 4th ed. London: Medicines and Healthcare Products Regulatory Agency [MHRA]; March 2005. Report No. MHRA 05006.Google Scholar
5. Mackenzie, A, Emerton, D, Lawinski, C, et al. Cardiovascular imaging systems: A comparative report. 5th ed. London: Centre for Evidence-based Purchasing; October 2006. Report No. 06044.Google Scholar
6. Rosenfeld, BA, Dorman, T, Breslow, MJ, et al. Intensive care unit telemedicine: Alternate paradigm for providing continuous intensivist care. Crit Care Med. 2000;28:39253931.CrossRefGoogle ScholarPubMed
7. Weill, C, Banta, D. Development of health technology assessment in France. Int J Technol Assess Health Care. 2009;25 (Suppl 1):108111.CrossRefGoogle ScholarPubMed
Supplementary material: File

Mitchell et al. supplementary material

Supplementary tables

Download Mitchell et al. supplementary material(File)
File 122.4 KB