COVID-19 Telehealth Service Can Increase Access to the Health Care System and Become a Cost-Saving Strategy

[ad_1]

Introduction

The COVID-19 pandemic has brought societal and economic challenges of great magnitude that represented a major boost for the development of innovative health care solutions to mitigate the impact of the disease on individual health and health systems.1,2 In this context, telehealth has emerged as a valuable tool for preserving physical distancing and isolation, reducing infection rates, and the demand on strained health care infrastructure.3

Considering the needs generated by the pandemic, the Telehealth Network of Minas Gerais (TNMG), one of the largest public telehealth services in Latin America,4,5 implemented a synchronous teleconsultation service for the care of patients with suspected or confirmed COVID-19 that is in operation since May 2020 in two medium-sized Brazilian cities and as a part of a health support program of a federal university.

Although a great number of telehealth services have been developed since the beginning of the pandemic, data addressing the costs and the potential incremental access to health care service achieved by the establishment of a teleconsultation service for COVID-19 are still incipient. The main goals of this study were to describe the labor costs for running a teleconsultation service to support the access of patients with suspected or confirmed COVID-19 to the health care system and to estimate the potential of incremental access to medical consultation allowed by the establishment of this teleconsultation service.

Methods

THE TELECOVID-MG SERVICE

The COVID-19 telehealth service included in the analyses is named TeleCOVID-MG and was developed by TNMG. TNMG was created in 2005 and provides clinical support for >1,000 Brazilian cities. The major clinical support activities offered by TNMG are teleconsultations and different modalities of telediagnosis, such as electrocardiogram, Holter and ambulatory blood pressure monitoring, spirometry, and retinography analysis.4–6

TeleCOVID-MG has been in operation in two medium-sized Brazilian cities since May 2020. These cities, Teófilo Otoni and Divinópolis, have public universities that integrate the TNMG, together with Universidade Federal de Minas Gerais. Upon the implementation in these two cities, the project was expanded in November 2020 to faculty, public servants, and students from the Universidade Federal de Minas Gerais, in the city of Belo Horizonte. Teófilo Otoni, Divinópolis, and Belo Horizonte are located in the State of Minas Gerais. Teófilo Otoni has a population of 134,745 inhabitants and a human development index (HDI) of 0.70; Divinópolis has a population of 213,016 inhabitants and an HDI of 0.76; Belo Horizonte has a population of 2,375,151 inhabitants and an HDI of 0.81 (see https://www.ibge.gov.br).

TeleCOVID-MG has two main goals, as previously described7: (1) providing the general population with COVID-19 evidence-based information and (2) assessing patients with respiratory symptoms.

The system was built to operate in four interdependent levels. User access is carried out either via chatbot or through a special telephone switchboard (level 1). Patients with respiratory complaints who have been in-person assisted at any health care service in those cities could also be included in the TeleCOVID-MG system by local managers. Screening is performed through a list of questions elaborated drawing on the best available evidence and this interaction is conducted by the chatbot agent or by properly trained professionals. After screening and according to the severity of symptoms and comorbidities, patients are assessed by a nurse or a physician (levels 2 and 3, respectively). According to the evaluation by nursing and/or medical staff, patients may be advised to keep home isolation or to seek onsite evaluation at a primary care center or an emergency unit. All patients evaluated through the teleconsultation system are included in the telemonitoring program (level 4), which monitors and provides support to them for at least 10 days after the onset of respiratory symptoms. Undergraduate medical students from the local universities trained for the task and working under the supervision of a physician or a nurse composed of the telemonitoring team.

It is important to remark that, according to the clinical findings, one team can request for an evaluation by the staff of another level at any time.

Figure 1 details the activities and the mean time per activity calculated by the registers of patients who used the service.

Fig. 1.

Fig. 1. TeleCOVID-MG service workflow and mean time per activity.

In addition to carrying out teleconsultations, the TeleCOVID-MG system enables issuing medical prescriptions, reports, and orders for diagnostic COVID-19 tests.

The clinical protocols used by the teleconsultation staff were based on guidelines elaborated by the World Health Organization, the Brazilian Ministry of Health, and municipality health departments.

Cost

Costs were estimated by applying time-driven activity-based costing (TDABC) methodology, so the costs of all resources used to offer the TeleCOVID-MG service were computed.8 The method TDABC enables more accurate cost estimates in care spending, specifically because it uses two parameters: (1) the unit cost of resource inputs, and (2) the time and quantity of resources required to perform a transaction or an activity.9 It has been applied in health care studies to estimate costs with high accuracy and identify opportunities to deliver care with more efficiency.10,11 In this study, the TDABC application followed the methodological recommendations for health care use as described before in academic literature.12,13

The TDABC starts with designing the process of activities necessary to deliver the service to the population. A multidisciplinary team including clinicians, information technology technicians, and managers from the TeleCOVID-MG service were invited to describe the process.

In sequence, the labor resources necessary to perform each activity from the process were identified. Labor costs included clinicians, students, nurses, data scientists, and administrative staff, also classified as direct and indirect resources. A direct resource is performing activities directly to patients, for example, the clinician who does a call-consultation to patients. In contrast, indirect resources are those that provide support for the service to happen with quality, such as information technology and data science professionals.

One-year payment history of salaries for the health care professionals and academic incentives (scholarships) for the undergraduate students who work at the telemonitoring level were used to calculate the mean cost per labor resource. For the direct labor resource, the hired hours per category were used to calculate the cost capacity rate. The indirect resources were accounted for by each direct activity considering the intensity that those activities require from the information technology and administrative professionals.

The mean time per direct activity used the historic data from July 1, 2020 to July 31, 2021 of all the registers of patients, which were submitted to a telemonitoring, medical, or nursing consultation. Finally, the total cost per activity in each month was calculated by multiplying the mean time per activity, the cost capacity rate of the direct and indirect resource attributed to each activity, and the total of patients that consumed the activity in the period. The cost information was reported per activity and period in a descriptive manner.

Cost data were collected and analyzed in Brazilian currency and reported in Reais (R$ in 2020) and international dollars according to the purchasing power parity value (Int$ in 2020).8

HEALTH CARE SYSTEM ACCESS ESTIMATE

To estimate the potential access increase to the health care system that the TeleCOVID-MG may offer, Generalized Reduced Gradient (GRG nonlinear) solving method was used, coded to maximize the mean incremental access rate.14 The model was developed using Microsoft Excel for Mac® (CA).

The model used the monthly total cost of the TeleCOVID-MG calculated in the study as a reference of the total financial budget to provide in-person primary care for COVID-19 medical consultations. The cost of one in-person medical consultation considered recent federal physician hiring agreements, launched to support the COVID-19 demand, nominated “Mais Médicos para o Brasil” published in March 11, 2020 and September 24, 2021. Physicians’ salary and estimated taxes established on these agreements amount to Int$ 57 per hour dedicated to clinical service in primary care services in any State of Brazil, whereas nursing amount to Int$ 17 per hour.15,16

Two scenarios were considered in the analyses. For the first one, clinicians dedicate on average 30 min per patient consultation (including the direct contact and the time dedicated to input clinical data on the electronic health record). The labor cost per in-person consultation was estimated by multiplying the cost per hour and the length of time estimated per consultation. For the second one, in addition to the medical consultation, it was considered that before the consultation, each patient was screened by a nurse, and for this activity, a duration of 15 min was estimated (i.e., a nurse dedicates 15 min for each patient that will be submitted to a medical consultation). In addition, for the in-person consultation, it was considered that each patient spends on average Int$ 3.8 (R$9) on public transportation, roundtrip tickets.

Using this cost per consultation and transportation information, the constraints equations [Eq. (1)] were defined in the model for each month.

(1)

where:

X(t) = total cost registered in the period for the medical consultations in the TeleCOVID-MG;

N(t) = number of patients that could be submitted to in-person consultations in each period;

C = cost per an in-person medical consultation.

The incremental access rate per period (Y) was calculated following Equation (2).

(2)

where:

Y = Incremental access rate per period;

N(t) = number of patients that could be submitted to in-person consultations in each period;

Z(t) = number of patients submitted to medical consultations in the TeleCOVID-MG service in each period.

Finally, the mean incremental access rate was defined as a maximization objective in the model. Ethical approval for this research was obtained from the Universidade Federal de Minas Gerais Research Ethics Committee (CAAE: 35953620.9.0000.5149).

Results

Throughout the study, 25,258 patients were accessed through TeleCOVID-MG service. The characteristics of these patients are described in Table 1. This corresponds to 15,801 phone calls, 35,475 nursing consultations, 20,876 medical consultations, and 100,890 monitoring calls for suspected or confirmed COVID-19 cases (Table 2).

Table 1. Clinical Characteristics of the Patients

PATIENTS (N = 25,258)  
Age, years, mean (SD) 37 (16.83)
Male 10,142 (40.12)
Teófilo Otoni 13,656 (54.1)
Divinópolis 10,800 (42.7)
UFMG 802 (3.2)
Symptoms
Dyspnea 3,435 (13.6)
Fever 7,527 (29.8)
Cough 15,534 (61.5)
Respiratory secretion 3,637 (14.4)
Nasal congestion 13,109 (51.9)
Odynophagia 9,472 (37.5)
Anosmia 7,779 (30.8)
Headache 15,332 (60.7)
Myalgia 12,023 (47.6)
Underlying medical conditions
Hypertension 4,294 (17.0)
Diabetes 1,339 (5.3)
Asthma 1,11 (4.4)
Cancer 152 (0.6)
Pregnancy or puerperium 303 (1.2)

Table 2. Activity Registers and Mean Time Per Activity

  CALLING ATTENDANCE NURSING CONSULTATION MEDICAL CONSULTATION MONITORING
  CONSULTATIONS, n MEAN TIME, MIN CONSULTATIONS, n MEAN TIME, MIN CONSULTATIONS, n MEAN TIME, MIN CONSULTATIONS, n MEAN TIME, MIN
July 2020 542 7 989 18 840 22 4,473 15
August 2020 1,002 7 3,613 15 1,505 19 10,993 29
September 2020 851 7 2,432 19 1,422 24 8,916 32
October 2020 528 8 1,219 21 1,02 25 5,059 34
November 2020 1,035 8 2,037 20 1,443 22 5,37 29
December 2020 1,394 4 3,413 16 1,906 20 9,358 25
January 2021 1,334 3 2,893 18 1,726 20 8,672 27
February 2021 916 3 2,001 14 1,38 19 8,053 8
March 2021 2,516 2 5,176 13 2,5 18 12,324 8
April 2021 1,451 3 3,06 14 1,89 20 6,356 11
May 2021 1,489 3 3,106 14 1,876 19 8,806 10
June 2021 1,632 2 3,079 12 1,807 16 7,363 8
July 2021 1,111 3 2,457 11 1,561 17 5,147 8
Mean 1,215 5 (SD 2) 2,729 16 (SD 3) 1,606 20 (SD 3) 7,761 19 (SD 11)

TELECOVID-MG COST DESCRIPTION

The mean cost per monitoring was Int$ 2 (standard deviation [SD] = 0.7), medical consultation Int$ 24 (SD = 3), nursing consultation Int$ 10 (SD = 2), and calling attendance Int$ 3 (SD = 1). From July 2020 to July 2021, the mean cost decreased for all the services, which is given in Figure 2A, except for the telemonitoring service. The activities performed by medical students or nonmedical health care, proportionally concentrate more indirect costs, as they are performed by lower cost professionals (Fig. 2B).

Fig. 2.

Fig. 2. (A) Mean cost per service delivered. (B) Cost composition per service.

MEDICAL CONSULTATION ACCESS INCREASE ESTIMATE

For both scenarios, the optimization model was solved in <1 min, ran three interactions, and achieved the precision expected. All the constraints resulted in zero.

The mean total cost registered for the COVID-19 medical teleconsultation service was Int$ 38,115 (minimum Int$ 24,305 and maximum Int$ 52,536) in the period analyzed. Considering this total cost as a reference to optimize the number of consultations that could be performed in each service model and both scenarios, it was estimated that the TeleCOVID-MG service represents mean incremental access to medical consultation rate of 35% (Min 23% and Max 49%) in scenario 1, and 52% (Min 38% and Max 63%) in scenario 2 (Fig. 3).

Fig. 3.

Fig. 3. Mean incremental access to medical consultation in scenario 1. The bars represent the absolute number of medical consultations that can be delivered with the same budget in the Tele COVID-MG service and in the in-person service in both scenarios. The line indicates the total budget consumed with medical consultations in the Tele COVID-MG service each month, which was used as the parameter to run the optimization module.

Discussion

This study is innovative by demonstrating the labor cost to provide a teleconsultation service for managing patients with suspected or confirmed COVID-19 in a public health care system, and to demonstrate that it can be a cost-saving strategy. This information is valuable for managers, to better allocate and plan public funding for health care services to the population. In the context of scarce resources to deliver care with quality and safety to the population,17 the study was also a pioneer in estimating how a telehealth service contributes to increasing access to the health care system to the population.

Before 2020, teleconsultation services were not regulated in Brazil, which occurred just in March 2020, attending to the new pandemic demands.18 TNMG was a pioneer in developing a public COVID-19 teleconsultation service in the country and the exponential increase in telemedicine services has been observed not just in Brazil,19–22 but worldwide.1,2

Despite this massive adoption of telemedicine, there is not a lot of evidence yet about the economic impact of those services on the health care systems. Recently, in Brazil, accurate cost information to offer a telemedicine service to ophthalmology patients was generated.6 By applying the same method used in this study, the TDABC, the authors demonstrated that the telemedicine service could be cost-saving in comparison with a traditional in-person consultation.23 For type 2 diabetes, another study also applied the TDABC in Brazil and concluded that offering remote care for those patients can be cost-saving and result in a better outcome in patients’ quality of life.24 Following the previous studies, the current research is the first to suggest a similar result for the care delivery of a disease that looks for answers about manners to increase population access to the health care system.

It was possible to demonstrate that medical and nursing teleconsultations for COVID-19 patient’s costs, on average, Int$ 24 and Int$ 10 per consultation, respectively, and to telemonitor a patient with a daily call for 7 days costs Int$ 14. Over the analyzed period, the decrease in medical and nursing teleconsultation costs demonstrates the trend of labor expenses reduction owing to progressive professional learning in how to deal with the telehealth system, with the remote assessment of the patient and, in this case, with a new disease. All the learning contributes to the optimization of the teleconsultation time. Managers must be aware of this learning curve while planning the implementation of a teleconsultation service, which was already reported in the telemedicine literature.25

TeleCOVID-MG succeeded in offering a quality and low-cost monitoring service (Int$ 2 per assessment), proving that telehealth could satisfactorily meet this new demand generated by the COVID-19 pandemic and may be adopted in other similar scenarios, offering economically attractive alternatives to the health care systems.

Compared with in-person consultations, COVID-19 teleconsultation service is already cost-saving, but the highest value is in the incremental access rate. In-person services worked in the same or higher capacities during the pandemic, but by the reason of the huge demand for primary care during the pandemic period, the opportunity to offer a service that can increment the access to the health care system by 35% or 50% (according to each scenario) is valuable.

For a universal health care public system such as the Brazilian one (Sistema Único de Saúde, SUS), these findings can inspire future applications of telemedicine. Almost 78% of the Brazilian population is supported by the public health care system, which consumes ∼4.5% of the national Gross Domestic Product. Any strategies that contribute to increasing the efficiency of the health care resource consumption increase value, by delivering qualified care to the population without increasing costs.26

In the past 2 years, several studies have been performed at a national level recommending the use of synchronous teleconsultations in a complementary manner to provide care access to the population, a few examples are for orthopedics,27 acromegalic,28 and diabetes patients.24 The results reported in this research are another example of how teleconsultation services may be included in the bundle of services offered in a national public health care system that looks for more sustainable strategies to better provide care to the population.

This study has some limitations. The assessment of the clinical solvability of the TeleCOVID-MG service was not our aim. The costs information for the TeleCOVID-MG and the in-person primary care services have not included structural and equipment costs. Our analyses are limited to labor costs in both services. The transportation cost used is an estimated mean cost, but future studies should look for more accurate transportation cost data.

Acknowledgments

The authors thank the entire TeleCOVID-MG team, including physicians, nurses, medical students, managers, and all other health professionals.

Authors’ Contributions

C.R.A.d.O., A.P.B.d.S.E., M.S.M., M.B.M.A., C.A.P. and A.L.P.R. coordinated the research; M.C.P., M.S.M. and L.B.R. organized and provided the data from TeleCOVID-MG service; C.R.A.d.O. and A.P.B.d.S.E. analyzed the data and drafted the article; all authors reviewed and edited the article; all authors approved the final version of the article.

Disclosure Statement

No competing financial interests exist.

Funding Information

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this work was supported by Assembleia Legislativa de Minas Gerais; SESU/MEC [SEI-23072.211119/2020-10]; and CAPES [Grant No. 88887.507149/2020-00]. A.L.P.R. is supported in part by CNPq [Grant Nos. 310679/2016-8, 465518/2014-1]; and by FAPEMIG [Grant Nos. PPM-00428-17, RED-00081-16].

References

  • 1. Garfan S, Alamoodi AH, Zaidan BB, et al. Telehealth utilization during the COVID-19 pandemic: A systematic review. Comput Biol Med 2021;138:104878. Crossref, MedlineGoogle Scholar
  • 2. Doraiswamy S, Abraham A, Mamtani R, et al. Use of telehealth during the COVID-19 pandemic: Scoping review. J Med Internet Res 2020;22(12):e24087. Crossref, MedlineGoogle Scholar
  • 3. Ramaswamy A, Yu M, Drangsholt S, et al. Patient satisfaction with telemedicine during the COVID-19 pandemic: Retrospective cohort study. J Med Internet Res 2020;22(9):e20786. Crossref, MedlineGoogle Scholar
  • 4. Alkmim MB, Figueira RM, Marcolino MS, et al. Improving patient access to specialized health care: The Telehealth Network of Minas Gerais, Brazil. Bull World Health Organ 2012;90(5):373–378. Crossref, MedlineGoogle Scholar
  • 5. Soriano Marcolino M, Minelli Figueira R, Pereira Afonso Dos Santos J, et al. The experience of a sustainable large-scale Brazilian Telehealth Network. Telemed J E Health 2016;22(11):899–908. LinkGoogle Scholar
  • 6. Souza GF de, Figueira RM, Alkmim MB, et al. Teleophthalmology screening for diabetic retinopathy in Brazil: Applicability and economic assessment. Telemed J E Health. 2020;26(3):341–346. LinkGoogle Scholar
  • 7. Alkmim MBM, Marcolino MS, de Oliveira CRA, et al. TeleCOVID-19: A multifaceted strategy from a public Brazilian telehealth service during the COVID-19 pandemic. In: Studies in Health Technology and Informatics. (Maeder AJ, Higa C, Van den Berg MEL, Gough C. eds.) IOS Press: Amsterdam, Netherlands; 2021. Google Scholar
  • 8. Kaplan RS. Improving value with TDABC. Healthc Financ Manage 2014;68(6):76–83. MedlineGoogle Scholar
  • 9. Kaplan RS, Porter ME. How to solve the cost crisis in health care. Harv Bus Rev 2011;89(9):46–52, 54, 56–61 passim. MedlineGoogle Scholar
  • 10. Keel G, Savage C, Rafiq M, et al. Time-driven activity-based costing in health care: A systematic review of the literature. Health Policy 2017;121(7):755–763. Crossref, MedlineGoogle Scholar
  • 11. Etges APB da S, da Silva Etges APB, Ruschel KB, et al. Advances in value-based healthcare by the application of time-driven activity-based costing for inpatient management: A systematic review. Value Health 2020;23:812–823. doi: 10.1016/j.jval.2020.02.004 Crossref, MedlineGoogle Scholar
  • 12. da Silva Etges APB, Cruz LN, Notti RK, et al. An 8-step framework for implementing time-driven activity-based costing in healthcare studies. Eur J Health Econ 2019;20(8):1133–1145. Crossref, MedlineGoogle Scholar
  • 13. Etges APB da S, Polanczyk CA, Urman RD. A standardized framework to evaluate the quality of studies using TDABC in healthcare: The TDABC in Healthcare Consortium Consensus Statement. BMC Health Serv Res 2020;20(1):1107. Crossref, MedlineGoogle Scholar
  • 14. OECD/Eurostat. Eurostat-OECD Methodological Manual on Purchasing Power Parities (2012 Edition). OECD Publishing Paris; 2012; doi: 10.1787/9789264189232-en CrossrefGoogle Scholar
  • 15. EDITAL DE CHAMAMENTO PÚBLICO No 8, DE 24 DE SETEMBRO DE 2021. DIÁRIO OFICIAL DA UNIÃO. 2021 [cited 2022 Oct 2]. Available from: http://maismedicos.gov.br/images/PDF/EDITAL-N-8-DE-24-DE-SETEMBRO-DE-2021.pdf [Last accessed: February 27, 2022]. Google Scholar
  • 16. CHAMAMENTO PÚBLICO PARA ADESÃO DE MÉDICOS AO PROGRAMA DE PROVISÃO DE MÉDICOS DO MINISTÉRIO DA SAÚDE—PROJETO MAIS MÉDICOS PARA O BRASIL. www.maismedicos.gov.br. 2020 [cited 2022 Oct 2]. Available from: http://maismedicos.gov.br/images/PDF/Edital_medico_publicao_DOU_11.03.2020_19ciclo-2.pdf [Last accessed: February 27, 2022]. Google Scholar
  • 17. Chou E, Hsieh Y-L, Wolfshohl J, et al. Onsite telemedicine strategy for coronavirus (COVID-19) screening to limit exposure in ED. Emerg Med J 2020;37(6):335–337. Crossref, MedlineGoogle Scholar
  • 18. PORTARIA No 467, DE 20 DE MARÇO DE 2020. www.in.gov.br. 2020 [cited 2022 Oct 2]. Available from: https://www.in.gov.br/en/web/dou/-/portaria-n-467-de-20-de-marco-de-2020-249312996 [Last accessed: February 27, 2022]. Google Scholar
  • 19. Alcântara AC de C, Rocha HAL, Silva CC da, et al. Ease in emergency hospital visits due to COVID-19 following implementation of a telemedicine service in Ceará, Brazil. Telemed J E Health 2022;28(7):1058–1063. LinkGoogle Scholar
  • 20. Sperling S, Andretta CR de L, Basso J, et al. Telehealth for supporting referrals to specialized care during COVID-19. Telemed J E Health 2022;28(4):544–550. LinkGoogle Scholar
  • 21. Montelongo A, Becker JL, Roman R, et al. The management of COVID-19 cases through telemedicine in Brazil. PLoS One 2021;14;16(7):e0254339. Google Scholar
  • 22. Nascimento BR, Brant LC, Castro ACT, et al. Impact of a large-scale telemedicine network on emergency visits and hospital admissions during the coronavirus disease 2019 pandemic in Brazil: Data from the UNIMED-BH system. J Telemed Telecare 2020;1357633X20969529. [Epub ahead of print]; doi: 10.1177/1357633X20969529 Crossref, MedlineGoogle Scholar
  • 23. Etges APB da S, Zanotto BS, Ruschel KB, et al. Telemedicine versus face-to-face care in ophthalmology: Costs and utility measures in a real-world setting. Value Health Reg Issues 2022;28:46–53. Crossref, MedlineGoogle Scholar
  • 24. Rodrigues DLG, Belber GS, Padilha FVDQ, et al. Impact of teleconsultation on patients with type 2 diabetes in the Brazilian Public Health System: Protocol for a RANDOMIZED CONTROLLED TRIAl (TELEconsulta Diabetes Trial). JMIR Res Protoc 2021;10(1):e23679. Crossref, MedlineGoogle Scholar
  • 25. Zanotto BS, Etges APB da S, Siqueira AC, et al. Economic evaluation of a telemedicine service to expand primary health care in Rio Grande do Sul: Tele Oftalmo’s microcosting analysis. Cien Saude Colet 2020;25(4):1349–1360. Crossref, MedlineGoogle Scholar
  • 26. Porter ME, Lee TH. The strategy that will fix health care. Harv Bus Rev 2013;91(12):24. MedlineGoogle Scholar
  • 27. Silva LB, Pereira DN, Chagas VS, et al. Orthopedic asynchronous teleconsultation for primary care patients by a large-scale telemedicine service in Minas Gerais, Brazil. Telemed J E Health 2022;28(8):1172–1177. LinkGoogle Scholar
  • 28. Naves LA, Rosa IN, Lima TA et al. Implementation and monitoring of a telemedicine model in acromegalic outpatients in a low-income country during the COVID-19 pandemic. Telemed J E Health 2021;27(8):905–914. LinkGoogle Scholar



[ad_2]

Source link