Suzana Alves da Silva1, Pedro Paulo Magalhães Chrispim2, Yang Ting Ju1, Ary Ribeiro3. 1. Departamento de Epidemiologia do Hospital do Coração/Hcor, São Paulo, SP - Brazil. 2. Laboratório de Implementação do Conhecimento em Saúde do Hospital do Coração/Hcor, São Paulo, SP - Brazil. 3. Superintendência Comercial e de Serviços Ambulatoriais do Hospital do Coração/Hcor, São Paulo, SP - Brazil.
The study by Stevens et al.[1] results
from a project of Delloite Consulting, financed by Novartis and aimed at estimating the
economic burden that heart failure, acute myocardial infarction, atrial fibrillation and
systemic arterial hypertension (SAH) impose on Latin American countries, and at
assessing the cost-effectiveness of telemedicine and structured telephone support as
interventions that can relieve it.[1] The
publication in this issue of the Arquivos Brasileiros de Cardiologia
focused on presenting the results of the assessment in the Brazilian scenario.This study provided us with the opportunity to reflect on important questions related to
quality, interpretation and applicability of economic studies. Such studies have gained
increasing relevance in the incorporation/disincorporation of technologies and the
development of health policies and programs to improve healthcare quality. In addition,
they are often used in other countries to support decision-making processes, although
that is not a routine in Brazil.[2]Several guidelines have been proposed in recent decades to improve the quality of the
studies on economic assessment and their usefulness to healthcare systems. The
Consolidated Health Economic Evaluation Reporting Standards
(CHEERS)[3] is a collection of
those recommendations, recently updated and published in JAMA,[2] which were only partially followed by Steven et al.The measures used, for example, derived from sources not clearly indicated by the
authors, who seem to have ignored any other related comorbidity besides the four
conditions in question, such as stroke and chronic renal failure, as well as the
presence or absence of other relevant comorbidities, such as diabetes, indicated by the
NHS as one of the ten major causes of permanent disability and of high consumption of
health resources currently.[4] In
addition, the differences in the levels of severity and heterogeneity between the
Brazilian geographic regions seem not to have been considered. The incidence of sequelae
and the rate of progression of those conditions resulting in morbidity, deaths and
quality of life loss vary according to the intensity of the treatment provided,
differing, thus, from region to region.[5-7]The results reported by the studies in Venezuela[8] and Mexico[9]
were neither cited nor discussed by the authors, although the cost-utility measures
obtained were identical or very close in the three countries, suggesting that, at least
partially, the data used were common to the three assessments.The cost of primary attention seems to have been inferred from hospital expenditure data,
assuming that the costs were equal. However, in at least one systematic review about the
economic burden of heart failure, hospital expenditure was at least three times greater
than outpatient clinic expenses, including the costs with procedures, tests and
medicines.[10]In addition, the prevalence estimates seem little accurate. According to Picon et
al.,[11] the prevalence of SAH
has been decreasing by 3.7% every decade in Brazil. In the 1990s, the prevalence of SAH
was estimated at 32.9%, while from 2000 to 2010, it was estimated at 28.7%, which would
result in an expected prevalence from 2010 to 2020 lower than that observed in the
previous decades. The authors started from a prevalence of 31.2% without indicating
exactly what was the source of that information.In the cost-effectiveness analysis, the interventions were not clearly defined, with
disagreement between what the study claimed to assess (“telemedicine”) and the
technology studied by the NHS report, on which the authors claimed to be based
(“telemonitoring”).[12]
Especially for cost-effectiveness studies, depending on the intervention assessed, the
results can be diametrically opposed, completely changing the recommendations.In addition, according to the authors, the healthcare system costs attributable to those
four conditions added up to 35 billion reais in 2015, which would
represent one third of the total budget approved for health by the Brazilian Congress in
that same year,[13] suggesting that the
estimates presented are overestimated.Therefore, despite the relevance of the topic, the study by Stevens et al. provides
convincing information on neither the burden of the selected diseases nor the
cost-effectiveness of telemedicine or structured telephone support for approaching those
conditions. The study has important limitations that prevents a clear interpretation of
its results, as well as its application in the national scenario in a comprehensive
manner.
Authors: Don Husereau; Michael Drummond; Stavros Petrou; Chris Carswell; David Moher; Dan Greenberg; Federico Augustovski; Andrew H Briggs; Josephine Mauskopf; Elizabeth Loder Journal: Int J Technol Assess Health Care Date: 2013-04-15 Impact factor: 2.188
Authors: A Pandor; P Thokala; T Gomersall; H Baalbaki; J W Stevens; J Wang; R Wong; A Brennan; P Fitzgerald Journal: Health Technol Assess Date: 2013-08 Impact factor: 4.014
Authors: Gillian D Sanders; Peter J Neumann; Anirban Basu; Dan W Brock; David Feeny; Murray Krahn; Karen M Kuntz; David O Meltzer; Douglas K Owens; Lisa A Prosser; Joshua A Salomon; Mark J Sculpher; Thomas A Trikalinos; Louise B Russell; Joanna E Siegel; Theodore G Ganiats Journal: JAMA Date: 2016-09-13 Impact factor: 56.272
Authors: Célia Landmann Szwarcwald; Paulo Roberto Borges de Souza Júnior; Aline Pinto Marques; Wanessa da Silva de Almeida; Dalia Elena Romero Montilla Journal: Int J Equity Health Date: 2016-11-17