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Budget Impact Analysis of Cancer Screening: A Methodological Review

Author

Listed:
  • Beate Jahn

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Jovan Todorovic

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Marvin Bundo

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Gaby Sroczynski

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Annette Conrads-Frank

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Ursula Rochau

    (UMIT-University for Health Sciences, Medical Informatics and Technology)

  • Gottfried Endel

    (Main Association of Austrian Social Insurance Institutions)

  • Ingrid Wilbacher

    (Main Association of Austrian Social Insurance Institutions)

  • Nikoletta Malbaski

    (Main Association of Austrian Social Insurance Institutions)

  • Niki Popper

    (DEXHELPP
    TU Wien, Information and Software Engineering Group (ifs - E194-01))

  • Jagpreet Chhatwal

    (Harvard Medical School)

  • Dan Greenberg

    (Ben-Gurion University of the Negev)

  • Josephine Mauskopf

    (RTI Health Solutions, RTI International)

  • Uwe Siebert

    (UMIT-University for Health Sciences, Medical Informatics and Technology
    Harvard Medical School
    ONCOTYROL-Center for Personalized Cancer Medicine
    Harvard T.H. Chan School of Public Health)

Abstract

Background Budget impact analyses (BIAs) describe changes in intervention- and disease-related costs of new technologies. Evidence on the quality of BIAs for cancer screening is lacking. Objectives We systematically reviewed the literature and methods to assess how closely BIA guidelines are followed when BIAs are performed for cancer-screening programs. Data sources Systematic searches were conducted in MEDLINE, EMBASE, EconLit, CRD (Centre for Reviews and Dissemination, University of York), and CEA registry of the Tufts Medical Center. Study eligibility criteria Eligible studies were BIAs evaluating cancer-screening programs published in English, 2010–2018. Synthesis methods Standardized evidence tables were generated to extract and compare study characteristics outlined by the ISPOR BIA Task Force. Results Nineteen studies were identified evaluating screening for breast (5), colorectal (6), cervical (3), lung (1), prostate (3), and skin (1) cancers. Model designs included decision-analytic models (13) and simple cost calculators (6). From all studies, only 53% reported costs for a minimum of 3 years, 58% compared to a mix of screening options, 42% reported model validation, and 37% reported uncertainty analysis for participation rates. The quality of studies appeared to be independent of cancer site. Limitations “Gray” literature was not searched, misinterpretation is possible due to limited information in publications, and focus was on international methodological guidelines rather than regional guidelines. Conclusions Our review highlights considerable variability in the extent to which BIAs evaluating cancer-screening programs followed recommended guidelines. The annual budget impact at least over the next 3–5 years should be estimated. Validation and uncertainty analysis should always be conducted. Continued dissemination efforts of existing best-practice guidelines are necessary to ensure high-quality analyses.

Suggested Citation

  • Beate Jahn & Jovan Todorovic & Marvin Bundo & Gaby Sroczynski & Annette Conrads-Frank & Ursula Rochau & Gottfried Endel & Ingrid Wilbacher & Nikoletta Malbaski & Niki Popper & Jagpreet Chhatwal & Dan , 2019. "Budget Impact Analysis of Cancer Screening: A Methodological Review," Applied Health Economics and Health Policy, Springer, vol. 17(4), pages 493-511, August.
  • Handle: RePEc:spr:aphecp:v:17:y:2019:i:4:d:10.1007_s40258-019-00475-6
    DOI: 10.1007/s40258-019-00475-6
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    References listed on IDEAS

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    1. Marjolein J. E. Greuter & Xiang‐Ming Xu & Jie‐Bin Lew & Evelien Dekker & Ernst J. Kuipers & Karen Canfell & Gerrit A. Meijer & Veerle M. H. Coupé, 2014. "Modeling the Adenoma and Serrated Pathway to Colorectal CAncer (ASCCA)," Risk Analysis, John Wiley & Sons, vol. 34(5), pages 889-910, May.
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