scholarly journals Cost analysis of breast cancer diagnostic assessment programs

2017 ◽  
Vol 24 (5) ◽  
pp. 354 ◽  
Author(s):  
G.N. Honein-AbouHaidar ◽  
J.S. Hoch ◽  
M.J. Dobrow ◽  
T. Stuart-McEwan ◽  
D.R. McCready ◽  
...  

Objectives Diagnostic assessment programs (daps) appear to improve the diagnosis of cancer, but evidence of their cost-effectiveness is lacking. Given that no earlier study used secondary financial data to estimate the cost of diagnostic tests in the province of Ontario, we explored how to use secondary financial data to retrieve the cost of key diagnostic test services in daps, and we tested the reliability of that cost-retrieving method with hospital-reported costs in preparation for future cost-effectiveness studies.Methods We powered our sample at an alpha of 0.05, a power of 80%, and a margin of error of ±5%, and randomly selected a sample of eligible patients referred to a dap for suspected breast cancer during 1 January–31 December 2012. Confirmatory diagnostic tests received by each patient were identified in medical records. Canadian Classification of Health Intervention procedure codes were used to search the secondary financial data Web portal at the Ontario Case Costing Initiative for an estimate of the direct, indirect, and total costs of each test. The hospital-reported cost of each test received was obtained from the host-hospital’s finance department. Descriptive statistics were used to calculate the cost of individual or group confirmatory diagnostic tests, and the Wilcoxon signed-rank test or the paired t-test was used to compare the Ontario Case Costing Initiative and hospital-reported costs.Results For the 191 identified patients with suspected breast cancer, the estimated total cost of $72,195.50 was not significantly different from the hospital-reported total cost of $72,035.52 (p = 0.24). Costs differed significantly when multiple tests to confirm the diagnosis were completed during one patient visit and when confirmatory tests reported in hospital data and in medical records were discrepant. The additional estimated cost for non-salaried physicians delivering diagnostic services was $28,387.50.Conclusions It was feasible to use secondary financial data to retrieve the cost of key diagnostic tests in a breast cancer dap and to compare the reliability of the costs obtained by that estimation method with hospital-reported costs. We identified the strengths and challenges of each approach. Lessons learned from this study have to be taken into consideration in future cost-effectiveness studies.

Immunotherapy ◽  
2021 ◽  
Author(s):  
Wei Jiang ◽  
Zhichao He ◽  
Tiantian Zhang ◽  
Chongchong Guo ◽  
Jianli Zhao ◽  
...  

Aim: To evaluate the cost–effectiveness of ribociclib plus fulvestrant versus fulvestrant in hormone receptor-positive/human EGF receptor 2-negative advanced breast cancer. Materials & methods: A three-state Markov model was developed to evaluate the costs and effectiveness over 10 years. Direct costs and utility values were obtained from previously published studies. We calculated incremental cost–effectiveness ratio to evaluate the cost–effectiveness at a willingness-to-pay threshold of $150,000 per additional quality-adjusted life year. Results: The incremental cost–effectiveness ratio was $1,073,526 per quality-adjusted life year of ribociclib plus fulvestrant versus fulvestrant. Conclusions: Ribociclib plus fulvestrant is not cost-effective versus fulvestrant in the treatment of advanced hormone receptor-positive/human EGF receptor 2-negative breast cancer. When ribociclib is at 10% of the full price, ribociclib plus fulvestrant could be cost-effective.


2019 ◽  
Vol 2 (2) ◽  
pp. 105-112
Author(s):  
Amelia Lorensia ◽  
Doddy De Queljoe ◽  
Made Dwike Swari Santi

The number of typhoid fever patient in Indonesia is still high. Typhoid fever can be treated by antibiotic therapy such as chloramphenicol and ceftriaxone. The purpose of this study was to compare the cost-effectiveness of chloramphenicol and ceftriaxone which was given to adult patients who were diagnosed with typhoid fever in Sanglah Denpasar Hospital. A comparative study between two alternatives was conducted using the hospital perspective. Retrospective method was used to collect data from patient medical records, who was diagnosed and hospitalized in Sanglah Denpasar Hospital during January 2017 until July 2018. The cost analysis was perform using cost-effectiveness grid and cost-effectiveness ratio (ACER) methods. Cost-effectiveness grid showed that dominant of ceftriaxone for patient with typhoid fever. ACER analysis for ceftriaxone was IDR 2,097,170.88 with effectivenes (length of stay) 4.27 days, and was IDR 2,097,170.88 with effectiveness (the time of reaching normal temperature) 2.42 days. ACER analysis for chloramphenicol was IDR 2,555,464.22        with effectivenes (length of stay) 10.22 days, and was IDR 2,555,464.22 with effectiveness (the time of reaching normal temperature) 3.44 days. ACER analysis showed lower degree of ceftriaxone and higher effectiveness based on length of stay and the time of reaching normal temperature. The conclusion of this study is that ceftriaxone is more cost-effective than chloramphenicol.


2018 ◽  
Vol 39 (3) ◽  
pp. 1211
Author(s):  
Flávio De Moraes ◽  
Marcos Aurélio Lopes ◽  
Francisval De Melo Carvalho ◽  
Afonso Aurélio de Carvalho Peres ◽  
Fábio Raphael Pascoti Bruhn ◽  
...  

This study investigates the cost-effectiveness of 20 demonstration units (DUs) belonging to the "Balde Cheio" program. The units in question are from the state of Rio de Janeiro, Brazil, dating from January to December 2011, and are sorted according to the scale of production (small, medium and large). The data were analyzed using Predictive Analytical software (PASW) 18.0. The scale of production influenced the total cost of milk production, and therefore profitability and cost-effectiveness. The large-scale stratum showed the lowest total unit cost. The positive results in medium and large scales in milk production lead to optimal conditions for long-term production, with the capitalization of cowmen. The items regarding the effective operating cost (EOC) with the biggest influence on the costs of dairy activity in the small scale stratum were food, energy and miscellaneous expenses. In the medium scale, these were food, labor force, and miscellaneous expenses. Finally, in the large scale, they were food, labor force and energy. In the small and large scale, the items regarding the total cost with the biggest influence on the costs of dairy activity were food, labor force, and return on capital, while in the medium scale, they were food, return on capital, and labor force. The average break-even point of 14 of the DUs was higher than the average daily production.


2020 ◽  
Vol 21 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Xiaoxia Wei ◽  
Jiaqin Cai ◽  
Jie Zhuang ◽  
Bin Zheng ◽  
Yuxia Sui ◽  
...  

Aim: To assess the cost–effectiveness of CYP2D6*10 genetic testing for the management of Chinese women with hormone receptor-positive (HR+) breast cancer treated with selective estrogen receptor modulator. Methods: A Markov model was developed to evaluate a total expected cost and an incremental cost-effectiveness ratio (ICER). Robustness of the model was addressed in one-way analyses and probabilistic sensitivity analysis. Results: The cost of strategies of tamoxifen, toremifene without genotyping and the strategy base on CYP2D6*10 genotype were $63,879.19, $90,156.60 and $95,021.41, and the quality-adjusted life years gained are 8.1588, 12.89687 and 13.85911, respectively. The incremental cost-effectiveness ratio of the CYP2D6*10 testing versus toremifene were 5,055.74221/quality-adjusted life year, respectively. Conclusion: CYP2D6*10 pharmacogenetic-guided selective estrogen receptor modulator can be a cost-effective strategy in the Chinese patients with hormone receptor-positive breast cancer.


2018 ◽  
Vol 3 (2) ◽  
pp. e000526 ◽  
Author(s):  
Giulia Greco ◽  
Louise Knight ◽  
Willington Ssekadde ◽  
Sophie Namy ◽  
Dipak Naker ◽  
...  

IntroductionThis paper presents the cost and cost-effectiveness of the Good School Toolkit (GST), a programme aimed at reducing physical violence perpetrated by school staff to students in Uganda.MethodsThe effectiveness of the Toolkit was tested with a cluster randomised controlled trial in 42 primary schools in Luwero District, Uganda. A full economic costing evaluation and cost-effectiveness analysis were conducted alongside the trial. Both financial and economic costs were collected retrospectively from the provider’s perspective to estimate total and unit costs.ResultsThe total cost of setting up and running the Toolkit over the 18-month trial period is estimated at US$397 233, excluding process monitor (M&E) activities. The cost to run the intervention is US$7429 per school annually, or US$15 per primary school pupil annually, in the trial intervention schools. It is estimated that the intervention has averted 1620 cases of past-week physical violence during the 18-month implementation period. The total cost per case of violence averted is US$244, and the annual implementation cost is US$96 per case averted during the trial.ConclusionsThe GST is a cost-effective intervention for reducing violence against pupils in primary schools in Uganda. It compares favourably against other violence reduction interventions in the region.


2015 ◽  
Vol 22 (2) ◽  
pp. 84 ◽  
Author(s):  
S. Djalalov ◽  
J. Beca ◽  
E. Amir ◽  
M. Krahn ◽  
M.E. Trudeau ◽  
...  

BackgroundAromatase inhibitor (ai) therapy has been subjected to numerous cost-effectiveness analyses. However, with most ais having reached the end of patent protection and with maturation of the clinical trials data, a re-analysis of ai cost-effectiveness and a consideration of ai use as part of sequential therapy is desirable. Our objective was to assess the cost-effectiveness of the 5-year upfront and sequential tamoxifen (tam) and ai hormonal strategies currently used for treating patients with estrogen receptor (er)–positive early breast cancer.Methods The cost-effectiveness analysis used a Markov model that took a Canadian health system perspective with a lifetime time horizon. The base case involved 65-year-old women with er-positive early breast cancer. Probabilistic sensitivity analyses were used to incorporate parameter uncertainties. An expected-value-of-perfect-information test was performed to identify future research directions. Outcomes were quality-adjusted life-years (qalys) and costs.Results The sequential tam–ai strategy was less costly than the other strategies, but less effective than upfront ai and more effective than upfront tam. Upfront ai was more effective and less costly than upfront tam because of less breast cancer recurrence and differences in adverse events. In an exploratory analysis that included a sequential ai–tam strategy, ai–tam dominated based on small numerical differences unlikely to be clinically significant; that strategy was thus not used in the base-case analysis.ConclusionsIn postmenopausal women with er-positive early breast cancer, strategies using ais appear to provide more benefit than strategies using tam alone. Among the ai-containing strategies, sequential strategies using tam and an ai appear to provide benefits similar to those provided by upfront ai, but at a lower cost.


1998 ◽  
Vol 16 (7) ◽  
pp. 2435-2444 ◽  
Author(s):  
J H Silber ◽  
M Fridman ◽  
A Shpilsky ◽  
O Even-Shoshan ◽  
D S Smink ◽  
...  

PURPOSE To model the cost-effectiveness (CE) of granulocyte colony-stimulating factor (G-CSF) in early-stage breast cancer when its use is directed to those most in need of the medication. METHODS A conditional CE model was developed for the use of G-CSF based on a ranking of patient need as determined by patient blood counts during the first cycle of chemotherapy. In the base case, no G-CSF was used. In the alternative case, G-CSF was used in the following manner. If the risk of a neutropenic event (as defined by a predictive model based on nadir absolute neutrophil count [ANC] and hemoglobin decrease in cycle 1) was equal to or exceeded a predetermined critical value "T," then patients would receive G-CSF in cycles 2 through 6 of chemotherapy. If the risk of an event was less than T, patients would not use G-CSF unless an event occurred, at which time G-CSF would be administered with every subsequent cycle. RESULTS A decision rule (T) that would allow the most needy 50% of early-stage breast cancer patients to receive G-CSF after the first cycle of chemotherapy resulted in a CE ratio of $34,297 dollars per life-year saved (LYS). If only the most needy 10% of patients received G-CSF, then the associated CE ratio was $23,748/LYS; if 90% of patients could receive the medication, the CE ratio would be $76,487/LYS. These estimates were relatively insensitive to inpatient hospital cost estimates (inpatient costs for fever and neutropenia of $3,090 to $7,726 per admission produced dollar per LYS figures of $34,297 to $32,415, respectively). However, the model was sensitive to assumptions about the shape of the relationship between dose reduction and disease-free survival (DFS) at 3 years. CONCLUSION Providing G-CSF to the neediest 50% of early-stage breast cancer patients (as defined by first-cycle blood counts) starting after the first cycle of chemotherapy is associated with a CE ratio of $34,297/LYS, which is well in the range of CE ratios for treatment of other common medical conditions. Furthermore, conditional CE studies, based on predictive models that incorporate individual patient risk, allow one to define populations for which therapy is, or is not, cost-effective. Limitations of our present understanding of the shape of the chemotherapy dose-response curve, especially at low levels of dose reductions, affect these results. Further work is required to define the shape of the dose-response curve in early-stage breast cancer.


2014 ◽  
Vol 48 (4) ◽  
pp. 699-705 ◽  
Author(s):  
Caroline Rife Nobrega ◽  
Antônio Fernandes Costa Lima

To identify the direct cost of procedures related to an outpatient chemotherapy treatment for women with breast cancer. Method: This is a quantitative research, using the case study methodology, performed in an outpatient chemotherapy of a private hospital. The total cost was calculated by multiplying the time spent by professionals involved in therapeutic procedures, the unit cost of direct labor, adding to the cost of materials, drugs and solutions. For performing the calculations, we used the Brazilian currency (R$). Results: The average total cost per chemotherapy session corresponded to R$ 1,783.01 (100%), being R$ 1,671.66 (93,75%) spent with drugs, R$ 74,98 (4.21%) with materials, R$ 28.49 (1.60%) with labor and R$ 7.88 (0.44%) with solutions. Conclusion: The results may support discussions and decision making for the management of costs related to chemotherapy aimed at reducing expenses and eliminating waste without harm to the care provided. 



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