Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Value in Healtharrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Value in Health
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Value in Health
Article . 2018 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
Value in Health
Article . 2018
versions View all 2 versions
addClaim

Economic Evaluation of Treating Skeletal-Related Events among Prostate Cancer Patients

Authors: Yue, Zhong; Adriana, Valderrama; Jianying, Yao; Prina, Donga; Pinar, Bilir; Peter J, Neumann;

Economic Evaluation of Treating Skeletal-Related Events among Prostate Cancer Patients

Abstract

To evaluate the economic burden of treating skeletal-related events (SREs) in prostate cancer (PC) patients with bone metastasis from an insurer perspective.We conducted a retrospective cohort analysis using claims data. PC patients with bone metastasis were identified in the MarketScan Databases between January 1, 2004, and March 1, 2014. The propensity score matching approach was used to match patients with SREs to those without SREs. A pseudo-SRE date was assigned to the control group. We compared 6-month and 12-month total costs of patients between two groups after the SRE or pseudo-SRE date. All costs were adjusted to 2014 US$.We identified 4083 PC men with bone metastasis, from which 787 patients with SREs were matched (1:1) to those without SREs. On average, the total 6-month cost of treating patients with SREs was $43,746 compared with $25,956 in the matched control cohort (P < 0.05). The largest proportion of differences in costs between the two groups was incurred in the first month after the SRE index date or the pseudo-SRE date ($14,979 vs. $4,849; P < 0.05) and was mostly attributable to outpatient visits (43.4%; P < 0.05) and inpatient hospitalization (33.1%; P < 0.05). The total cost per patient over the 12-month period was $22,171 higher among patients with SREs than among patients without SREs (P < 0.05).Our findings suggest that SREs impose considerable burden on health resource utilization for payers. Costs attributable to SREs were substantial. Most costs were incurred in the first month after the occurrence of SREs. Although costs decreased thereafter, they remained significantly higher for patients with SREs in subsequent months compared with patients without SREs.

Related Organizations
Keywords

Aged, 80 and over, Male, Cost-Benefit Analysis, Prostatic Neoplasms, Bone Neoplasms, Health Care Costs, Middle Aged, Cohort Studies, Treatment Outcome, Humans, Propensity Score, Aged, Follow-Up Studies, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
hybrid
Related to Research communities
Cancer Research