Applying Risk-Based Follow-Up Strategies on the Dutch Breast Cancer Population: Consequences for Care and Costs

被引:10
作者
Draeger, Teresa [1 ,2 ]
Voelkel, Vinzenz [1 ,2 ]
Groothuis-Oudshoorn, Catharina G. M. [2 ]
Lavric, Miha [2 ]
Veltman, Jeroen [3 ]
Dassen, Anneriet [4 ]
Boersma, Liesbeth J. [5 ]
Witteveen, Annemieke [6 ]
Sonke, Gabe S. [7 ]
Koffijberg, Hendrik [2 ]
Siesling, Sabine [2 ,8 ]
机构
[1] Univ Regensburg, Tumor Ctr Regensburg, Inst Qual Control & Hlth Serv Res, Regensburg, Germany
[2] Univ Twente, Tech Med Ctr, Dept Hlth Technol & Serv Res, Enschede, Netherlands
[3] Ziekenhuisgrp Twente, Dept Radiol, Almelo Hengelo, Netherlands
[4] Med Spectrum Twente, Dept Surg, Enschede, Netherlands
[5] Maastricht Univ, GROW Sch Oncol & Dev Biol, Dept Radiat Oncol Maastro, Med Ctr, Maastricht, Netherlands
[6] Univ Twente, Personalized eHlth Technol, Enschede, Netherlands
[7] Netherlands Canc Inst, Dept Med Oncol, Amsterdam, Netherlands
[8] Netherlands Comprehens Canc Org IKNL, Dept Res & Dev, Utrecht, Netherlands
关键词
cancer registry; cost-effectiveness; follow-up; health services research; locoregional recurrence; mamma carcinoma; personalized care; prediction model; LOCOREGIONAL RECURRENCE; LOCAL RECURRENCE; DIAGNOSIS; PROGNOSIS; SURVIVAL; IMPACT; STAGE; WOMEN; TIME;
D O I
10.1016/j.jval.2020.05.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
Objectives: An important aim of follow-up after primary breast cancer treatment is early detection of locoregional recurrences (LRR). This study compares 2 personalized follow-up scheme simulations based on LRR risk predictions provided by a time dependent prognostic model for breast cancer LRR and quantifies their possible follow-up efficiency. Methods: Surgically treated early patients with breast cancer between 2003 and 2008 were selected from the Netherlands Cancer Registry. The INFLUENCE nomogram was used to estimate the 5-year annual LRR. Applying 2 thresholds, they were defined according to Youden's J-statistic and a predefined follow-up sensitivity of 95%, respectively. These patient's risk estimations served as the basis for scheduling follow-up visits; 2 personalized follow-up schemes were simulated. The number of potentially saved follow-up visits and corresponding cost savings for each follow-up scheme were compared with the current Dutch breast cancer guideline recommendation and the observed utilization of follow-up on a training and testing cohort. Results: Using LRR risk-predictions for 30 379 Dutch patients with breast cancer from 2003 to 2006 (training cohort), 2 thresholds were calculated. The threshold according to Youden's approach yielded a follow-up sensitivity of 62.5% and a potential saving of 62.1% of follow-up visits and euro24.8 million in 5 years. When the threshold corresponding to 95% follow-up sensitivity was used, 17% of follow-up visits and euro7 million were saved compared with the guidelines. Similar results were obtained by applying these thresholds to the testing cohort of 11 462 patients from 2007 to 2008. Compared with the observed utilization of follow-up, the potential cost-savings decline moderately. Conclusions: Personalized follow-up schemes based on the INFLUENCE nomogram's individual risk estimations for breast cancer LRR could decrease the number of follow-up visits if one accepts a limited risk of delayed LRR detection.
引用
收藏
页码:1149 / 1156
页数:8
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