In Brazil, before the 1990s, access to healthcare was only guaranteed to individuals with private insurance or social security. In this regard, the Unified Public Healthcare System (SUS) was implemented based on the first principle of universal care for the entire population
Out-of-pocket costs (OPC) are non-reimbursable expenses such as medications uncovered by insurance, transportation, and meals as well as time spent on medical visits, tests, and procedures.
The emergence of the COVID-19 pandemic has accelerated the adoption of telemedicine,
We previously conducted two separate prospective studies to evaluate OPC incurred by oncological patients receiving treatment through the SUS at different time points and regions in Brazil.(2,5) To calculate the potential savings resulting from the adoption of telemedicine, we deducted transportation-related costs from the total monthly OPC incurred by each patient. The value of the time spent by patients was estimated based on the minimum wage and a standard 40hour working week. Each hour spent by patients on transportation was considered as 1/40th of the minimum wage in value. This study considered all patients potentially eligible for telemedicine.
Consequently, we deducted the direct costs associated with transportation and the time spent commuting from the total OPC. To avoid confounding factors such as inflation, due to the different timing of both studies, and the diverse cost of living expenses in both areas of the country, we calculated the percentages of total costs without transportation-related expenses in relation to total costs including commuting expenses for both studies.
We used paired t-tests to evaluate the significance of the difference between total OPC and OPC without transportation-related costs. All statistical calculations were performed using Graph Prism software.
The clinical and pathological characteristics of the patients were previously reported in both studies.(4,9) One study evaluated 57 patients in the ABC region near São Paulo
We estimated that by deducting transportation costs, out-of-pocket expenses (OPC) would decrease by 62% (95%CI: 57%-67%) in the ABC region and 60% (95%CI: 56%-64%) in the Maranhão region. These differences were highly statistically significant (p<0.0001 for both). These findings suggest potential cost savings of approximately 40% for patients receiving SUS treatment.
Clinical characteristics of the two populations included in the papers by Araújo et al. (2020)
| Parameter: | Araujo et al | Zaremba et al |
|---|---|---|
| Number of patients | 110 | 57 |
| Gender (percentage of females) | 62.73% | 61.4% |
| Mean age (years) | 55.45 | 57.54 |
| Most common neoplasia types | GI | GI (31.91%) |
| GU | Breast (27.66%) | |
| Stage 4 patients (percentage) | 58.19% | 37.21% |
| Average time spent on: | ||
| Transportation (hours/month) | 7.62 | 7,60 |
| Consultations (hours/month) | 2.64 | 2.87 |
| Average total costc | R$ 747.92 | R$ 470.03 |
| Percentage of minimum wage (Brazil) | 78.40% | 59,64% |
a GU: Genitourinary
b GI: Gastrointestinal
c Calculated by the sum of time and money spent
We conducted a very simple sensitivity analysis to estimate the difference of the percentage of savings of OPC costs for both regions with various telemedicine uptakes. We assumed that the increase of telemedicine uptake would linearly increase the savings up to the limits of calculated savings for each region and that would vary in proportion to the hours saved, i.e., 100% of transportation and 50% in consultation times.
For the Maranhão region,
The OPC savings calculated for each telemedicine uptake percentage are found in
| Telemedicine Uptake (%) | ABC Region (OPC Savings) | Maranhão Region (OPC Savings) |
|---|---|---|
| 0% | 0.0% | 0.0% |
| 25% | 15.5% | 15.0% |
| 50% | 31.0% | 30.0% |
| 75% | 46.5% | 45.0% |
| 100% | 62.0% | 60.0% |
OPC: Out-of-Pocket Costs.
Telemedicine allows cancer patients living in remote areas access to specialists even if they are physically distant from oncology centers of excellence. This is particularly beneficial in a country as vast as Brazil, characterized by continental dimensions and a heterogeneous distribution of population. Furthermore, telemedicine has the potential to save time and, consequently, money on travel and also on indirect costs associated with lost workdays.
In addition to benefiting individual oncological patients, telemedicine can also alleviate costs for the public healthcare system as a whole. By reducing the need for in-person visits, tests, and hospitalizations, telemedicine can optimize the use of limited resources. This is particularly relevant in public healthcare systems where resources are often scarce. By reducing the burden on hospitals and clinics, telemedicine can direct these resources towards patients with more urgent needs, improving overall efficiency and quality of care.
In this study, we estimated the potential benefits of integrating telemedicine into the oncological care provided by the SUS. By using telemedicine, patients can avoid direct costs associated with transportation and the time lost in commuting, leading to substantial savings. Our findings align with Patel et al. (2023)
However, it must be taken into account that this study’s result for the estimated savings produced by telemedicine overestimates the real value obtained as the uptake of Telemedicine can never be 100% as assumed for the analysis. Furthermore, our study has an important limitation as it relies on cost data from two past studies, albeit with highly comparable estimates. To validate our estimates, a prospective study is needed to compare the costs incurred by patients using telemedicine simultaneously with those who do not. Additionally, we need to assess whether the costs of the implementation and continuous use of telemedicine will lead to overall cost savings for the SUS.
A prospective study can also evaluate the role of telemedicine in remote monitoring and symptom management of oncological patients. Through portable devices and health applications, patients can report their symptoms and receive guidance from healthcare professionals without the need for frequent hospital visits. This not only increases convenience for patients but also reduces costs associated with in-person consultations. Additionally, remote monitoring can detect complications or treatment side effects early, enabling prompt intervention and avoiding unnecessary hospitalizations.
Despite the advantages of telemedicine, its implementation also presents challenges and limitations. One critical aspect to consider is the security of data, particularly when dealing with sensitive medical information of oncology patients. It is imperative to establish and enforce appropriate security measures to ensure data privacy and confidentiality, ensuring that the transmission and storage of information are conducted securely.
For the ABC region
In conclusion, we found that telemedicine offers a promising solution to significantly reduce OPC for oncological patients receiving treatment through the SUS. By eliminating transportation costs and time, patients can experience significant financial relief, potentially improving treatment adherence and overall outcomes. The integration of telemedicine into the healthcare system can improve access to care, particularly for vulnerable populations. Further research and implementation efforts are needed to maximize the benefits of telemedicine and ensure its widespread adoption in the public health system.
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Journal: Brazilian Journal of Oncology
DOI: 10.1055/s-00059887
e-issn: 2526-8732
Publisher: Thieme Revinter Publicações Ltda.
Publisher address: Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
1. Lei no 8.080, de 19 de setembro de 1990 (BR). Lei Orgânica da Saúde. Constituição Federal, 1990.
2. Sep; [access in 2021 Jun 7]. Available from [online]. Available from: <https://atarde.com.br/saude/ibge-aponta-que-715-da-populacao-brasileira-depende-do-sus-1127633#:~:text=IBGE%20aponta%20que%2071%2C5%25%20da%20popula%C3%A7%C3%A3o%20brasileira%20depende%20do%20SUS,-Publicado%20sexta%2Dfeira&text=Segundo%20o%20UOL%2C%20a%20pesquisa,o%20n%C3%BAmero%20cai%20para%2026%25>.
3. Jalali, FS and Bikineh, P and Delavari, S. Strategies for reducing out of pocket payments in the health system: a scoping review. Cost Eff Resour Alloc [online]. 2021, vol. 19, p. 47.
4. Araújo, JKL and Silva, LM and Santos, CA and Oliveira, IS and Fialho, GM and Giglio, A. Assessment of costs related to cancer treatment. Rev Assoc Med Bras [online]. 2020, vol. 66, p. 1423-30.
5. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa nacional por amostra de domicílios contínua. IBGE, 2023.
6. Chino, F and Peppercorn, JM and Rushing, C and Kamal, AH and Altomare, I and Samsa, G. Out-of-pocket costs, financial distress, and underinsurance in cancer care. JAMA Oncol [online]. 2017, vol. 3, p. 1582.
7. Knudsen, KE and Willman, C and Winn, R. Optimizing the use of telemedicine in oncology care: postpandemic opportunities. Clin Cancer Res [online]. 2021, vol. 27, p. 933-6.
8. Aguiar, PN and Stival, M and Magalhães Filho, MAF and Del Giglio, A. Physical examination in medical oncology guiding the development of a protocol for teleoncology care in a public health care oncology service. JCO Clin Cancer Inform [online]. 2023, vol. 7, p. e2200152.
9. Zaremba, G and Pispico, B and Assist, W and Hayek, T and Matsushita, TT and Garcia, M. Out-of-pocket costs for cancer patients treated at the Brazilian public health system (SUS) and for their caregivers: a pilot study. Clin Onc Let [online]. 2016, vol. 2, p. 23-30.
10. Smith, AC and Thomas, E and Snoswell, CL and Haydon, H and Mehrotra, A and Clemensen, J. Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare [online]. 2020, vol. 26, p. 309-13.
11. Dorsey, ER and Topol, EJ. State of telehealth. N Engl J Med [online]. 2016, vol. 375, p. 154-61.
12. Patel, KB and Turner, K and Tabriz, AA and Gonzalez, BD and Oswald, LB and Nguyen, OT. Estimated indirect cost savings of using telehealth among nonelderly patients with cancer. JAMA Netw Open [online]. 2023, vol. 6, p. e2250211.
13. Kessel, KA and Vogel, MM and Kessel, C and Bier, H and Biedermann, T and Friess, H. Mobile health in oncology: a patient survey about app-assisted cancer care. JMIR Mhealth Uhealth [online]. 2017, vol. 5, p. e81.
14. Bashshur, RL and Howell, JD and Krupinski, EA and Harms, KM and Bashshur, N and Doarn, CR. The empirical foundations of telemedicine interventions in primary care. Telemed J E Health [online]. 2016, vol. 22, p. 342-75.
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