Disability weights for castration-resistant prostate cancer: an empirical investigation

Author:

Borsoi LudovicaORCID,Ciani OrianaORCID,De Vivo Rocco,Russo Giorgio IvanORCID,Scarcia MarcelloORCID,De Fino ChiaraORCID,Beccaglia Patrizia,Luccarini IreneORCID

Abstract

Introduction: Health state valuation and diagnostic-therapeutic pathways at the junction between non-metastatic and metastatic castration-resistant prostate cancer (CRPC) are not well documented. We aimed at: (i) estimating the disability weights (DWs) for health states across a continuum of disease from asymptomatic non-metastatic (nmCRPC) to symptomatic metastatic state (mCRPC); (ii) mapping the diagnostic-therapeutic pathway of nmCRPC in Italy. Methods: Structured qualitative interviews were performed with clinical experts to gather information on nmCRPC clinical pathway. An online survey was administered to clinical experts to estimate DWs for four CRPC health states defined from interviews and literature review (i.e., nmCRPC, asymptomatic mCRPC, symptomatic mCRPC, mCRPC in progression during or after chemotherapy). Clinicians’ preferences for health states were elicited using the Person-Trade-Off (PTO) and Visual Analogue Scale (VAS) methods. DWs associated with each health state, from 0 (best imaginable health state) and 1 (worst imaginable health state), were estimated. Results: We found that the management of nmCRPC is heterogeneous across Italian regions and hospitals, especially with respect to diagnostic imaging techniques. DWs for PTO ranged from 0.415 (95% confidence interval [CI] 0.208-0.623) in nmCRPC to 0.740 (95% CI 0.560-0.920) in mCRPC, in progression during or after chemotherapy. DWs for VAS ranged between 0.246 (95% CI 0.131-0.361) in nmCRPC to 0.689 (95% CI 0.583-0.795) in mCRPC, in progression during or after chemotherapy. Conclusions: Estimated DWs suggest that delaying transition to a metastatic state might ease the disease burden at both patient and societal levels.

Publisher

Aboutscience Srl

Subject

Health Policy

Reference39 articles.

1. World Bank. World Development Report 1993: Investing in Health. Online https://openknowledge.worldbank.org/handle/10986/5976 (Accessed May 2022)

2. Murray CJ. Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bull World Health Organ. 1994;72(3):429-445. PMID:8062401

3. Devleesschauwer B, Havelaar AH, Maertens de Noordhout C, et al. Calculating disability-adjusted life years to quantify burden of disease. Int J Public Health. 2014;59(3):565-569. https://doi.org/10.1007/s00038-014-0552-z PMID:24752429

4. Essink-Bot ML, Bonsel G. How to derive disability weights (Chapter 9.1). J Immunol. 2002;01(01):449-465.

5. Murray CJL, Lopez AD; World Health Organization, World Bank & Harvard School of Public Health. (‎1996)‎. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020: summary/edited by Christopher J. L. Murray, Alan D. Lopez. World Health Organization. Online https://apps.who.int/iris/handle/10665/41864 (Accessed May 2022).

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