Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Evidence-Informed Update of Argentina’s Health Benefit Package: Application of a Rapid Review Methodology

Alcaraz, Andrea; Alfie, Verónica; Gonzalez, Lucas; Virgilio, Sacha; Garcia Marti, Sebastián; Augustovski, Federico ArielIcon ; Pichón-riviere, AndresIcon
Fecha de publicación: 03/2022
Editorial: Cambridge University Press
Revista: International Journal Of Technology Assessment In Health Care
ISSN: 0266-4623
e-ISSN: 1471-6348
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Políticas y Servicios de Salud

Resumen

Objectives: Argentina has a fragmented healthcare system with social security covering almost two thirds of the population. Its benefit package—called compulsory medical program (PMO; by its Spanish acronym Programa Médico Obligatorio)—has not been formally and widely updated since 2005. However, laws, clinical practice guidelines (CPGs), and a high-cost technology reimbursement fund complement it. Our objective was to comprehensively review such a PMO and propose an update considering the corresponding complementary sources. Methods: We followed four steps: (i) identification of health technologies from the current PMO and complementary sources, (ii) prioritization, (iii) assessment through rapid health technology assessment (HTA), and (iv) appraisal and recommendations. We evaluated three value domains: quality of evidence, net benefit, and economics, which were summarized in a five-category recommendation traffic-light scale ranging from a strong recommendation in favor of inclusion to a strong recommendation for exclusion. Results: Eight hundred fifty technologies were identified; 164 of those, considered as high priority, were assessed through rapid HTAs. Those technologies mentioned in laws and CPGs were mostly outpatient essential medicines, whereas those from the reimbursement system were mostly high-cost drugs; of these 101 technologies, 50 percent were recommended to be kept in the PMO. The other 63 (identified by the Superintendence of Health Services, technology producers, and patients) were mostly medical procedures and high-cost drugs; only 25 percent of those resulted in a favorable recommendation. Conclusions: A methodology based on four clearly identified steps was used to carry out a comprehensive review of an outdated and fragmented benefit package. The use of rapid HTAs and a traffic-light recommendation framework facilitated the deliberative evidence-based update.
Palabras clave: DECISION MAKING , HEALTH BENEFIT PACKAGE , RESOURCE ALLOCATION , TECHNOLOGY ASSESSMENT HEALTH
Ver el registro completo
 
Archivos asociados
Tamaño: 532.4Kb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/216388
URL: https://www.cambridge.org/core/journals/international-journal-of-technology-asse
DOI: https://doi.org/10.1017/S0266462322000034
Colecciones
Articulos(CIESP)
Articulos de CENTRO DE INVESTIGACIONES EN EPIDEMIOLOGIA Y SALUD PUBLICA
Citación
Alcaraz, Andrea; Alfie, Verónica; Gonzalez, Lucas; Virgilio, Sacha; Garcia Marti, Sebastián; et al.; Evidence-Informed Update of Argentina’s Health Benefit Package: Application of a Rapid Review Methodology; Cambridge University Press; International Journal Of Technology Assessment In Health Care; 38; 1; 3-2022; 1-8
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES