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Constructing care cascades for active tuberculosis: A strategy for program monitoring and identifying gaps in quality of care.
Subbaraman, Ramnath; Nathavitharana, Ruvandhi R; Mayer, Kenneth H; Satyanarayana, Srinath; Chadha, Vineet K; Arinaminpathy, Nimalan; Pai, Madhukar.
Afiliación
  • Subbaraman R; Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts, United States of America.
  • Nathavitharana RR; Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts, United States of America.
  • Mayer KH; Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America.
  • Satyanarayana S; Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America.
  • Chadha VK; The Fenway Institute, Boston, Massachusetts, United States of America.
  • Arinaminpathy N; Centre for Operational Research, International Union Against Tuberculosis and Lung Disease, Paris, France.
  • Pai M; Central Leprosy Teaching and Research Institute, Chengalpattu, India.
PLoS Med ; 16(2): e1002754, 2019 02.
Article en En | MEDLINE | ID: mdl-30811385
The cascade of care is a model for evaluating patient retention across sequential stages of care required to achieve a successful treatment outcome. This approach was first used to evaluate HIV care and has since been applied to other diseases. The tuberculosis (TB) community has only recently started using care cascade analyses to quantify gaps in quality of care. In this article, we describe methods for estimating gaps (patient losses) and steps (patients retained) in the care cascade for active TB disease. We highlight approaches for overcoming challenges in constructing the TB care cascade, which include difficulties in estimating the population-level burden of disease and the diagnostic gap due to the limited sensitivity of TB diagnostic tests. We also describe potential uses of this model for evaluating the impact of interventions to improve case finding, diagnosis, linkage to care, retention in care, and post-treatment monitoring of TB patients.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calidad de la Atención de Salud / Tuberculosis / Evaluación de Programas y Proyectos de Salud Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Med Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calidad de la Atención de Salud / Tuberculosis / Evaluación de Programas y Proyectos de Salud Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Med Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos