Literature DB >> 26557885

Costs of breast cancer care in Mexico: analysis of two insurance coverage scenarios.

María Cecilia González-Robledo1, Rebeca Wong2, Héctor Arreola Ornelas3, Felicia Marie Knaul4.   

Abstract

BACKGROUND: Breast cancer (BC) is a major cause of disease and death worldwide. In addition to its contribution to mortality and disability, it is a major economic burden both public and private.
OBJECTIVE: To estimate the average direct medical cost/year of care for the diagnosis and treatment of BC in two coverage scenarios in Mexico: What is 'ideal' based on service usage patterns according to international guidelines and what is 'current' using the service usage patterns of suppliers in Mexico.
MATERIAL AND METHODS: The pattern and intensity of use of procedures for the care of BC in the Mexican Social Security Institute (IMSS) for 2009 were identified and prices were associated using the guidelines from the System of Social Protection in Health (SPSS) and the IMSS for the current scenario and the ideal scenario, international patterns (Breast Health Global Initiative BHGI after its acronym in English) were used and prices were associated from the SPSS guidelines.
RESULTS: The annual average direct medical cost per patient in the 'current' scenario was 8557 US$, while the cost in the 'ideal' scenario was 4554 US$. There are differences in costs between 'what we do' and 'what should be done', due to differences in the implementation of the interventions for the treatment of the different stages of the disease. A proportional increase in the average cost was also identified as the diagnosis stage advanced (from I to III).
CONCLUSIONS: Given that in Mexico there is universal insurance coverage for the treatment of BC, it is necessary to use economic resources more efficiently. It is necessary to continue to examine this topic in more depth and the next step will be to assess the effectiveness of both scenarios in order to provide enough evidence for the decision-making process.

Entities:  

Keywords:  Mexico; breast neoplasms; direct service costs; health financing

Year:  2015        PMID: 26557885      PMCID: PMC4631579          DOI: 10.3332/ecancer.2015.587

Source DB:  PubMed          Journal:  Ecancermedicalscience        ISSN: 1754-6605


Introduction

Breast cancer (BC) is a major cause of disease and death in the world. GLOBOCAN data reported in 2012 indicates that it is the most common cancer among women in both developed and developing countries and indicates that 1.67 million new cases were diagnosed in the study period. The incidence is highest in countries of Western Europe with a rate of 96 per 100,000 women, while in African countries, the rate is one of the lowest with 27 per 100,000. However, it is the most frequent cause of cancer death in women in the less developed regions (324,000 deaths, 14.3% of the total). Mortality rates are lower than those of incidence due to the fact that survival is more favourable in the more developed regions [1-3]. In Mexico, BC is the second leading cause of cancer death in women older than 35 years. Incidence and mortality rates have shown an upward trend over time (between 1980 and 2012) in this population. Data reported by GLOBOCAN 2012 indicates that the incidence rate for BC in the country is 35.4 and the mortality rate is 9.7 per 100 thousand women. Of the confirmed cases, slightly more than 50% were diagnosed in advanced stages (III and IV), which substantially decreases the likelihood of survival for 5 years, even in spite of receiving treatment (Ministry of Health, 2007) [4]. European studies estimated that the costs of BC are of significant magnitude and variability. In Sweden (2002), the average annual cost per patient for BC care was 13,238 US$ and in France (2004) 36,073 US$, which included the assessment of both direct and indirect costs [5, 6]. In Latin America and the Caribbean, the economic burden of BC has not been studied much. In Brazil, there were two studies in 2009, one in the public and another in the private sector. The results show differential costs due to the fact that each sector follows different treatment alternatives. The average annual cost per patient for the private sector was 15,426 US$ compared to 4,757 US$ for the public sector [7, 8]. In Mexico, Knaul et al, conducted a study in Mexico in a social security institution with data from 2006, estimating the average cost per year per patient to be 6734 US$ [9]. On the other hand, data published in 2010, in the country, indicate that in the public health system, the treatment of breast cancer accounted for 21.2% of the total expenditure allocated by the fund for the protection against catastrophic expenses (FPGC) [10], which in turn represented 1.98% of the total public expenditure on health in the country. From a social perspective, BC is a disease that in addition to contributing to mortality and disability, adds a major public and private economic burden (this last generator of out-of-pocket spending is due to processes of care which are not included within the care package or indirect costs that could result in impoverishing costs for households with fewer economic resources) [5, 6, 11]. In the Mexican case, the economic burden is taken up to a significant degree by the public health sector due to the fact that all women have the right to comprehensive care through social security or public insurance provided by the System of Social Protection in Health (SPSS) called Seguro Popular (SP) [12]. In view of this wide coverage, a better understanding of the treatment costs of the BC is an important input to the planning of health resources. This article presents an estimate of the direct medical costs of diagnosis and treatment of patient with BC/year in the public health sector of Mexico, considering two scenarios: ‘current’ and ‘ideal’, which will be explained in the materials and methods section. The inclusion of the two scenarios is intended to show the cost differences obtained by the use of differential patterns between the procedures currently used in Mexico’s health sector and those defined by international recommendations, in order to provide information for decision makers to carry out the planning of financial resources that will be needed in the future to address this health problem. It is hoped that this information will help people understand and anticipate the future economic burden for the Mexican health care system.

Materials and methods

The medical procedures included in the estimate of the cost of diagnosis were medical consultations (contained within the procedures), biopsies (by aspiration or surgery), radiology studies (mammography, ultrasound), clinical laboratory studies (CBC and others), pathology studies, and other diagnostic studies (bone densitometry). The procedures for the treatment were built by stage or step of diagnosis and included the following: surgical interventions (radical and conservative surgery), chemotherapy (different schemes), radiotherapy, and hormone therapy (oestrogen inhibitors, HER2). The cost estimate was conducted in the following three phases: Phase I: Determination of the cost of each medical procedure/service in a year per patient and stage of the disease (I to IV). Where Cpj is cost of the procedure, Qj is quantity used in the procedure (on average per patient), Pj is the price of the procedure and j is the procedure. Phase II: Determination of the direct medical cost by intervention (diagnosis, surgery, chemotherapy, and radiotherapy) per patient year and stage of the disease. Where CIk is the cost of the intervention, j is the interventions for the diagnosis and/treatment: surgery, chemotherapy, radiation therapy, and k is the stages of diagnosis (I to IV). Phase III: Determination of the total direct medical cost per patient/year, taking into account the diagnostic steps and proposed scenarios: (a) of universal coverage and (b) ideal. Where NMk is the number of women at every stage of diagnosis (I to IV), k is the stages of diagnosis (I to IV), and j is the interventions for the diagnosis and/ treatment: surgery, chemotherapy, radiation therapy. A descriptive cross-sectional study was conducted in 2009. The unit of analysis were women aged 25 and over, diagnosed and treated in the Instituto Mexicano de Seguro Social (IMSS) using prevalence data in all stages of diagnosis. It had various sources of information. Reference was made to the International Classification of Diseases, ICD-10 [13], code C50 and steps determined by the Treatment Guidelines for Patients (GTP) of the American Cancer Society VIII version and the Norma Oficial Mexicana (2002) [14, 15]; therefore, stages I, II (early) and III, IV (late stage) were taken [16]. These sources were used for the ‘current’ scenario. For the ‘ideal; scenario, the interventions suggested by the International Guidelines developed by the World Initiative for Breast Health were taken into account, the latter being stratified according to the level of resources that a country has. For this particular case, a ‘broad level’ was taken [17]. To estimate the services usage pattern, the Operational Medical Medical Information System IMSS was used, in particular the subsystems SUI-7 and SUI-13, which correspond to outpatient and hospital costs, respectively. This pattern of service use was revised and adjusted for the year 2009 [18, 19]. The estimates of the direct medical costs of care were based on the tabulators of the Ministry of Health (Official Gazette of the Federation), the tabulator for recovery quotas of the INCAN and the tabulator of the IMSS, estimated all costs at values of 2009 [20, 21]. The data analysis was carried out using Microsoft Excel®. Two models were used to estimate direct medical costs: (1) The usage pattern of services was estimated according to a non-linear regressive chain model developed by Knaul Markov, Arreola et al (2009) through a transition matrix of the disease that meant a progressive and substantial step forward from one stage to another without allowing improvement in previous states [9], and (2) the cost estimate based on the model adapted by Brown and Yabroff [22, 23] that includes direct medical costs paid by third parties. The selection of this segment of the model is justified because it is one of the components of greatest interest among decision-makers for the establishing of public financial amounts which are required for the care of BC in the population, which, according to the published literature, can represent up to 55% of the total costs of care [5, 24]. Costs were estimated under the assumption that the pattern of use of procedures and services for the IMSS was the same as in all other social security institutions in Mexico: ISSSTE, PEMEX, SEDENA, SEMAR and for those who are receiving care from SPSS. The reason for this is that IMSS information records had a unique identification code that allowed staff to follow cases, while the other social security institutions and the care records of the SPSS did not; therefore, keeping track of each case (each diagnosed woman) was not possible. However, given that there are consensual guidelines for the management of these patients throughout the country, it was possible to work under this assumption. Treatment costs were calculated based on the diagnostic stage, as is recommended by the literature on the subject, given that the stage of the disease can directly influence the costs of care [23-25]. The following scenarios were handled for estimating the costs of medical care: Current Scenario. For the cost estimate, the usage pattern of services of the IMSS and the tabulators of prices of services of the IMSS and SPSS is employed. Ideal Scenario. Constructed with the usage patterns of the procedures and services identified by the guidelines from the Breast Health Global Initiative (BHGI because of its acronym in English) in the level of comprehensive resources. The difference with the above scenario is the type and amount of services and procedures used. The tabulator of prices used for estimating costs was that of the SPSS [17]. The project was approved by the commissions of inquiry, ethics, and biosafety of the INSP. We have defined the broad level as both the public services, such as the social security (IMSS), offer treatments consistent with the procedures described for this level by the international guidelines. This scenario was chosen because the importance of international regulations for breast health care based on evidence has been globally recognised, which improves in quantifiable terms the outcomes of BC, to achieve the best standard of care that would be practical in each environment [17].

Results

The group with the highest number of diagnosed BC cases was women aged between 45 and 64 years with 53.5%. This was followed by those aged between 25 and 44 years with 28% and those aged 65 and over with 18.5%. About 46.2% of cases were diagnosed in the early stages (I and II). Table 1 shows the direct medical costs per procedure/year in the care of BC patients in 2009. It is important to explain that this table shows the costs differentiated by type of insurer: Mexican Social Security Institute (IMSS) and Public Health Insurance (SPSS) [sic]; this is due to the tabulators of prices being different. Nevertheless, the overall results show the average of both estimates.
Table 1.

Direct medical costs per procedure/year by stage of diagnosis of BC. Current scenario in Mexico 2009.

Resource or serviceUse of service*Unit Cost
IMSSSPSS
Diagnosis
Complete blood count (CBC)1.00$54.14$34.87
Fine-needle aspiration biopsy0.29$459.00$832.00
Open biopsy0.67$8765.00$2963.86
Bilateral mammogram1.00$213.00$1484.00
Liver function tests (LFTs)1.00$245.00$157.78
Electrocardiography (ECG)1.00$356.00$229.26
Monitoring of bones1.00$367.00$236.35
Subtotal$10,459.10$5938.12
Stage-I treatmentSurgical interventions0.98$16,791.61$10,813.80
• Lymph node dissection0.04$13,713.26$8831.34
• Lumpectomy + lymph node dissection0.15$13,538.89$8719.05
• Lumpectomy + lymph node dissection + sentinel lymph node biopsy0.74$16,415.65$10,571.68
• Mastectomy + sentinel lymph node biopsy0.02$23,603.19$15,200.46
• Mastectomy + lymph node dissection1.0$13,736.19$8846.11
• Reconstructive surgery0.01$29,559.32$19,036.20
• Mastectomy + reconstructive surgery0.02$30,952.28$19,933.27
• Mastectomy + sentinel lymph node biopsy + lymph node dissection + reconstructive surgery0.02$41,456.47$26,697.97
Radiotherapy0.54$11,759.82$8,231.87
Chemotherapy0.69$75,224.26$49,648.01
FEC (6–8 cycles)0.20$171,913.65$113,463.01
FEC (4 cycles)0.18$99,217.57$65,483.60
CMF (6 cycles)0.19$6541.20$4317.19
Epirubicin + Taxotere (4 cycles)0.02$124,198.00$81,970.68
Trastuzumab (Weekly for 8 months)/20.08$248,257.21$163,849.76
Stage-II treatmentSurgical interventions0.96$18,003.15$11,594.03
• Lymph node dissection0.04$13,713.26$8831.34
• Lumpectomy + lymph node dissection0.24$13,538.89$8,719.05
• Lumpectomy + lymph node dissection + sentinel lymph node biopsy0.48$16,415.65$10,571.68
• Mastectomy + sentinel lymph node biopsy0.03$23,603.19$15,200.46
• Mastectomy + lymph node dissection0.03$13,736.19$8846.11
• Mastectomy + sentinel lymph node biopsy + lymph node dissection0.10$24,115.00$15,530.06
• Reconstructive surgery0.02$29,559.32$19,036.20
• Mastectomy + reconstructive surgery0.02$30,952.28$19,933.27
• Mastectomy + sentinel lymph node biopsy + lymph node dissection + reconstructive surgery0.04$41,456.47$26,697.97
Radiotherapy0.38$11,759.82$5792.18
Chemotherapy1.18$132,983.07$87,768.83
FEC (6–8 cycles)0.35$171,913.65$113,463.01
FEC (4 cycles)0.21$99,217.57$65,483.60
CMF (6 cycles)0.27$6541.20$4317.19
GemCarbo (6 cycles)0.02$57,509.40$37,956.20
Capecitabine (6 cycles)0.01$67,192.80$44,347.25
Navelbine (6 cycles)0.01$38,347.80$25,309.55
Epirubicin + Taxotere (4 cycles)0.12$124,198.00$81,970.68
Trastuzumab (Weekly for 8 months)/20.13$248,257.21$163,849.76
Stage-III treatmentSurgical interventions0.96$22,203.78$14,299.23
• Lumpectomy + lymph node dissection0.01$13,538.89$8,719.05
• Lumpectomy + lymph node dissection + sentinel lymph node biopsy0.02$16,415.65$10,571.68
• Mastectomy + sentinel lymph node biopsy0.09$23,603.19$15,200.46
• Mastectomy + lymph node dissection0.26$13,736.19$8846.11
• Mastectomy + sentinel lymph node biopsy + lymph node dissection0.41$24,115.00$15,530.06
• Reconstructive surgery0.04$29,559.32$19,036.20
• Mastectomy + reconstructive surgery0.06$30,952.28$19,933.27
• Mastectomy + sentinel lymph node biopsy + lymph node dissection + reconstructive surgery0.08$41,456.47$26,697.97
Radiotherapy0.12$11,759.82$8,231.87
Chemotherapy1.43$177,968.02$117,458.90
FEC (6–8 cycles)0.25$171,913.65$113,463.01
FEC (4 cycles)0.14$99,217.57$65,483.60
CMF (6 cycles)0.18$6541.20$4317.19
GemCarbo (6 cycles)0.09$57,509.40$37,956.20
Capecitabine (6 cycles)0.05$67,192.80$44,347.25
Navelbine (6 cycles)0.06$38,347.80$25,309.55
Epirubicin + Taxotere (4 cycles)0.44$124,198.00$81,970.68
Trastuzumab (Weekly for 8 months)/20.16$248,257.21$163,849.76
Stage-IV treatmentSurgical interventions1.00$24,594.50$15,838.86
• Lymph node dissection0.04$13,713.26$8831.34
• Mastectomy + sentinel lymph node biopsy0.15$23,603.19$15,200.46
• Mastectomy + lymph node dissection0.21$13,736.19$8846.11
• Mastectomy + sentinel lymph node biopsy + lymph node dissection0.32$24,115.00$15,530.06
• Reconstructive surgery0.05$29,559.32$19,036.20
• Mastectomy + reconstructive surgery0.09$30,952.28$19,933.27
• Mastectomy + sentinel lymph node biopsy + lymph node dissection + reconstructive surgery0.14$41,456.47$26,697.97
Radiotherapy0.04$11,759.82$8,231.87
Chemotherapy0.48$52,296.54$34,515.71
FEC (6–8 cycles)0.01$171,913.65$113,463.01
FEC (4 cycles)0.02$99,217.57$65,483.60
CMF (6 cycles)0.04$6541.20$4317.19
GemCarbo (6 cycles)0.05$57,509.40$37,956.20
Capecitabine (6 cycles)0.13$67,192.80$44,347.25
Navelbine (6 cycles)0.14$38,347.80$25,309.55
Epirubicin + Taxotere (4 cycles)0.03$124,198.00$81,970.68
Trastuzumab (Weekly for 8 months)/20.05$248,257.21$163,849.76
Bevacizumab0.04$380,581.01$251,183.47

The ‘Use of service’ column refers to the number of times a procedure is performed by a user in one-year follow-up.

Sources: Data of the IMSS and FPGC Operative Medical Information System (SIMO). Tabulator for recovery quotas of the INCAN. Unit costs for medical care by level of care. Undersecretary of Income. Unit for Income Policy. Mexican Secretariat of Finance and Public Credit. 2009. IMSS 2009 published in DOF (6-03-2009 second section 65–68).

The average direct medical cost/year of care in the public sector for a woman was US$ 8557. The average direct medical cost/year of diagnosis was US$ 303. The average treatment costs: surgery US$ 1163, radiotherapy US$ 376, and chemotherapy US$ 6735. These costs were analysed by stages of diagnosis. The results were as follows: stage I US$ 6500, stage II US$ 9981, stage III US$ 12,757, and stage IV US$ 5069 (palliative care costs are not included). The highest costs are concentrated in chemotherapy procedures (87%) followed by surgical procedures (10%), independent of stage of diagnosis. The most frequently used types of chemotherapy for the first stages (I and II) were FEC (5-fluorouracil (5FU), epirubicin, and cyclophosphamide) and CMF (cyclophosphamide, methotrexate, and 5FU) and for the final stages, FEC, epirubicin, and taxotere (III), and capecitabine and navelbine (IV). The most common surgical procedures performed were lumpectomy and sentinel lymph node biopsy (I and II), and mastectomy and lymph node dissection (III and IV). ‘Ideal’ scenario costs are shown in Table 2.
Table 2.

Direct medical costs per procedure/year by stage of diagnosis of BC. Ideal scenario in 2009.

Resource or serviceNo. of times of serviceUnit cost
DiagnosisAnalysis of complete blood chemistry1.00$34.87
Percutaneous needle biopsy0.29$832.00
Surgical biopsy0.67$2963.86
Diagnostic mammogram1.00$1484.00
Basic chest x-ray1.00$1064.00
Liver ultrasound1.00$157.00
Bone scintigraphy1.00$236.34
Subtotal$6772.07
Stage-I treatmentSurgical interventions1.00$8846.11
Mastectomy + lymph node dissection1.00$8846.11
Radiotherapy1.00$16,381.68
Chemotherapy1.00$28,895.37
AC (4 cycles) + taxanes0.61$81,970.68
CMF (6 cycles)0.27$4,317.19
Traztuzumab (for HER2-positive patients)0.12$163,849.76
Stage-II treatmentSurgical interventions1.00$8846.11
Mastectomy + lymph node dissection1.00$8846.11
Radiotherapy1.00$16,381.68
Chemotherapy1.00$28,895.37
AC (4 cycles)0.65$81,970.68
CMF (6 cycles)0.23$4317.19
Traztuzumab (for HER2-positive patients)0.12$163,849.76
Stage-III treatmentSurgical interventions1.00$9931.34
• Mastectomy + lymph node dissection0.39$15,200.46
• Mastectomy + sentinel lymph node biopsy0.61$8846.11
Radiotherapy1.00$16,381.68
Chemotherapy1.00$54,308.12
CMF (6 cycles)0.13$4,317.19
AC (4 cycles)0.46$81,970.68
EC0.13$81,970.68
FAC0.17$65,483.60
Traztuzumab (for HER2-positive patients)0.11$163,849.76
Stage-IV treatmentSurgical interventions1.00$11,387.85
• Mastectomy + sentinel lymph node biopsy0.40$15,200.46
• Mastectomy + lymph node dissection0.60$8846.11
Radiotherapy1.00$16,381.68
Chemotherapy1.00$45,933.50
CMF (6 cycles)0.09$4317.19
AC (4 cycles)0.11$81,970.68
Capecitabine0.31$44,347.25
Navelbine0.35$25,309.55
Trastuzumab0.14$163,849.76

Sources: BC diagnosis and treatment BHGI 2007 guidelines (broad level). Tabulator for recovery quotas of the INCAN. Unit costs for medical care by level of care. Undersecretary of Income. Unit for Income Policy. Mexican Secretariat of Finance and Public Credit. 2009.

The average direct medical cost/year for a female patient with the pattern of use of BHGI guidelines will be US$ 4554. Treatment costs differentiated by stage of diagnosis will be stages I and II US$ 3368, stage III US$ 5995, and stage IV US$ 5484 (without palliative care). Costs differentiated by the type of intervention will be diagnosis US$ 774, surgical procedure US$ 722, chemotherapy US$ 11,698, and radiotherapy US$ 9991. A comparison of costs between the proposed scenarios was performed yielding interesting results, lower than those established in the pattern of use of international guidelines. This difference will be analysed in the discussion. There are two types of differences, namely quantitative and qualitative. A comprehensive package of services can be seen in the public service sector of IMSS ranging from conservative to radical surgery (10 different types of procedures) and numerous and extensive chemotherapy protocols (5–7), as opposed to the international recommendations of a more restricted pair of surgical models and chemotherapy protocols (4 in total) as indicated by first generation international guidelines, even at the level of comprehensive resources.

Discussion

National cost estimates for the care of BC is a complicated process due to the nature of the information, the different levels of data aggregation, limited access to information systems, as well as problems of timeliness and coverage of the information. Several aspects of the results of this study are consistent with the data published in literature. Firstly, the majority of women are diagnosed in the advanced stages of the disease. However, if we compare these figures with those reported by SPSS in 2007, we can see an upward trend in the early detection of lesions which could indicate that the national screening programs being conducted are successfully achieving their objectives [26, 27]. Another aspect that coincides with the published literature is that the majority of detected BC cases occur in patients aged under 65 [28]. This study observed that 78% of the population covered by IMSS and 85% of those covered by SPSS are diagnosed women aged under 64. This causes important productivity losses due to disability and premature mortality caused by the disease (aspects that are not covered by this study), as well as the consequences on the quality of life for these women [5]. With regards to the average direct medical care costs/year, differences were observed between the service providers (paying agents) and studied scenarios. The service providers originate from the tabulators of prices, considering that the assumed pattern and intensity of use of procedures were the same. The highest costs are concentrated in the population covered by IMSS (annual average cost of US$ 10,071 as opposed to US$ 7036 with SPSS). Several explanatory hypotheses can be discussed; for example, SPSS may have a better ability to negotiate prices in the purchase of medicines or the management of financial resources in both institutions is different which could elevate IMSS costs. Nevertheless, the objective of this study was never to understand the reason for these differences between the service providers; thus, in the future, it is recommended to study who has the highest rate of effectiveness and efficiency with a view to making the best use of resources. Upon comparing the ‘ideal’ and ‘current’ scenarios that differ in the pattern and intensity of use of procedures and in the tabulators of prices, an important difference was seen between the costs of the first and second scenarios. To make it more comparable, the estimated average with the SPSS tabulators was taken as the current scenario cost, which was US$ 7036, and the ideal scenario cost, which was US$ 4554; this shows that the latter would still be lower than the cost of the current scenario by at least 35%. This could also lead to applying the BGHI’s recommended procedures in Mexico, which could provide a scenario of greater equity of care for women nationwide, homogenising the provision of services. Consequently, it is necessary to perform studies that allow for a deeper understanding of the efficiency of both scenarios in order to make an informed decision. Another important discovery is that this study established that the average direct medical costs/year in diagnosis and treatment relate to 45% of the total expenditure of the fund for the protection against catastrophic expenses (FPGC) in the current scenario (SPSS) when analysed with figures reported by SPSS [29]. An important point for future study will be to determine what benefits a country like Mexico (middle income) could bring when adopting the international guidelines within the SPSS package of services, in terms of effectiveness. Two of the main constraints of this study were: firstly, an underestimation of care costs; only costs attributable to the diagnosis and treatment of BC stages were valued in a year, leaving aside costs for follow-up, monitoring and palliative care and, furthermore, indirect costs were not estimated as recommended by the available literature. Nevertheless, the choice of these stages is justified on the premise that fewer than 50% of care costs are focused on them (direct medical costs) as recommended by the available literature. The generated information is therefore considered useful for decision-makers in charge of the financial planning of the health system. Secondly, the pattern of use of procedures and services can have biased information as it was assumed that all Mexican institutions presented the same pattern of use of IMSS, due to SPSS information systems not being allowed to do a follow-up on a cohort within a specified time frame due to the lack of a unique identifier. Furthermore, there is no access to the information of other social security institutions (ISSSTE, PEMEX, SEDENA, SEMAR). Nonetheless, it is hoped that this situation will not represent a problem as the country relies on consensual protocols and management guidelines that somehow unify these patterns of use [30].

Conflict of interest

The authors state that there are no financial, labour or other relations that pose as a conflict of interest regarding this study. That is, we have not received any ‘benefits in property, hospitality, or subsidies’; however we acknowledge the financial support of Sanofi US for the field work and the results of this research have no particular interest in the investigation.

Conclusion

The estimated direct medical costs paid by third parties at the national level is important for budgetary planning of care of CM, even more, considering that universal insurance coverage for care exists in Mexico. We still need to understand the reasons for the differences in costs related to the scenarios, but we believe we have taken the first step.
  14 in total

1.  Estimating health care costs related to cancer treatment from SEER-Medicare data.

Authors:  Martin L Brown; Gerald F Riley; Nicki Schussler; Ruth Etzioni
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

2.  [Fund for Protection against Catastrophic Expenses].

Authors:  Belkis Aracena-Genao; María Cecilia González-Robledo; Luz María González-Robledo; Lina Sofía Palacio-Mejía; Gustavo Nigenda-López
Journal:  Salud Publica Mex       Date:  2011

3.  Cost of breast cancer in Sweden in 2002.

Authors:  Mathias Lidgren; Nils Wilking; Bengt Jönsson
Journal:  Eur J Health Econ       Date:  2007-03

Review 4.  The descriptive epidemiology of female breast cancer: an international comparison of screening, incidence, survival and mortality.

Authors:  Danny R Youlden; Susanna M Cramb; Nathan A M Dunn; Jennifer M Muller; Christopher M Pyke; Peter D Baade
Journal:  Cancer Epidemiol       Date:  2012-03-27       Impact factor: 2.984

Review 5.  The out of pocket cost of breast cancer survivors: a review.

Authors:  Maria Pisu; Andres Azuero; Patrick McNees; Jeffrey Burkhardt; Rachel Benz; Karen Meneses
Journal:  J Cancer Surviv       Date:  2010-04-17       Impact factor: 4.442

6.  [The health care costs of breast cancer: the case of the Mexican Social Security Institute].

Authors:  Felicia Marie Knaul; Héctor Arreola-Ornelas; Enrique Velázquez; Javier Dorantes; Oscar Méndez; Leticia Avila-Burgos
Journal:  Salud Publica Mex       Date:  2009

7.  Overview of methods to estimate the medical costs of cancer.

Authors:  William E Barlow
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

8.  Estimating the treatment costs of breast and lung cancer.

Authors:  M S Baker; L G Kessler; N Urban; R C Smucker
Journal:  Med Care       Date:  1991-01       Impact factor: 2.983

9.  Economic burden of cancer across the European Union: a population-based cost analysis.

Authors:  Ramon Luengo-Fernandez; Jose Leal; Alastair Gray; Richard Sullivan
Journal:  Lancet Oncol       Date:  2013-10-14       Impact factor: 41.316

10.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  6 in total

1.  The burden of suboptimal breastfeeding in Mexico: Maternal health outcomes and costs.

Authors:  Mishel Unar-Munguía; Dalia Stern; Monica Arantxa Colchero; Teresita González de Cosío
Journal:  Matern Child Nutr       Date:  2018-08-23       Impact factor: 3.092

2.  Direct Medical Costs, Productivity Loss Costs and Out-Of-Pocket Expenditures in Women with Breast Cancer in Latin America and the Caribbean: A Systematic Review.

Authors:  Alfredo Palacios; Carlos Rojas-Roque; Lucas González; Ariel Bardach; Agustín Ciapponi; Claudia Peckaitis; Andres Pichon-Riviere; Federico Augustovski
Journal:  Pharmacoeconomics       Date:  2021-03-30       Impact factor: 4.981

3.  Breast cancer early detection: A phased approach to implementation.

Authors:  Ophira Ginsburg; Cheng-Har Yip; Ari Brooks; Anna Cabanes; Maira Caleffi; Jorge Antonio Dunstan Yataco; Bishal Gyawali; Valerie McCormack; Myrna McLaughlin de Anderson; Ravi Mehrotra; Alejandro Mohar; Raul Murillo; Lydia E Pace; Electra D Paskett; Anya Romanoff; Anne F Rositch; John R Scheel; Miriam Schneidman; Karla Unger-Saldaña; Verna Vanderpuye; Tsu-Yin Wu; Safina Yuma; Allison Dvaladze; Catherine Duggan; Benjamin O Anderson
Journal:  Cancer       Date:  2020-05-15       Impact factor: 6.860

4.  Medical expenses of urban Chinese patients with stomach cancer during 2002-2011: a hospital-based multicenter retrospective study.

Authors:  Xiao-Jie Sun; Ju-Fang Shi; Lan-Wei Guo; Hui-Yao Huang; Neng-Liang Yao; Ji-Yong Gong; Ya-Wen Sun; Guo-Xiang Liu; A-Yan Mao; Xian-Zhen Liao; Ya-Na Bai; Jian-Song Ren; Xin-Yu Zhu; Jin-Yi Zhou; Ling Mai; Bing-Bing Song; Yu-Qin Liu; Lin Zhu; Ling-Bin Du; Qi Zhou; Xiao-Jing Xing; Pei-An Lou; Xiao-Hua Sun; Xiao Qi; Yuanzheng Wang; Rong Cao; Ying Ren; Li Lan; Kai Zhang; Jie He; Jia-Lin Wang; Min Dai
Journal:  BMC Cancer       Date:  2018-04-17       Impact factor: 4.430

Review 5.  Analysis of the Cost-Effectiveness of Liquid Biopsy to Determine Treatment Change in Patients with Her2-Positive Advanced Breast Cancer in Colombia.

Authors:  Diana Sánchez-Calderón; Adriana Pedraza; Catalina Mancera Urrego; Aurelio Mejía-Mejía; Ana Lorena Montealegre-Páez; Sandra Perdomo
Journal:  Clinicoecon Outcomes Res       Date:  2020-02-13

6.  Availability, prices, and affordability of selected essential cancer medicines in a middle-income country - the case of Mexico.

Authors:  Daniela Moye-Holz; Margaret Ewen; Anahi Dreser; Sergio Bautista-Arredondo; Rene Soria-Saucedo; Jitse P van Dijk; Sijmen A Reijneveld; Hans V Hogerzeil
Journal:  BMC Health Serv Res       Date:  2020-05-14       Impact factor: 2.655

  6 in total

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