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Cochrane Database of Systematic Reviews

Sistemas de recordatorio e intervenciones para rescatar pacientes inasistentes para el diagnóstico y tratamiento de la tuberculosis

Esta versión no es la más reciente

ver la versión actual 18 noviembre 2014

Información

DOI:
https://doi.org/10.1002/14651858.CD006594.pub2Copiar DOI
Base de datos:
  1. Cochrane Database of Systematic Reviews
Versión publicada:
  1. 08 octubre 2008see what's new
Tipo:
  1. Intervention
Etapa:
  1. Review
Grupo Editorial Cochrane:

  1. Grupo Cochrane de Enfermedades infecciosas

Copyright:
  1. Copyright © 2010 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Cifras del artículo

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Contraer

Autores

  • Qin Liu

    Correspondencia a: Effective Healthcare Research Programme Consortium China (Chongqing) RPC Programme , School of Public Health, Chongqing Medical University, Chongqing, China

    [email protected]

  • Katharine Abba

    International Health Group, Liverpool School of Tropical Medicine, Liverpool, UK

  • Marissa M Alejandria

    Department of Clinical Epidemiology, College of Medicine, University of the Philippines, Manila, Philippines

  • Vincent M Balanag

    Lung Center of the Philippines, Quezon City, Philippines

  • Regina P Berba

    Infectious Diseases Section, University of the Philippines, Manila, Philippines

  • Mary Ann D Lansang

    Department of Clinical Epidemiology, College of Medicine, University of the Philippines, Manila, Philippines

Contributions of authors

This review was designed in collaboration with all six authors. K Abba and MA Lansang screened the search results; K Abba retrieved the full papers which met the inclusion criteria. K Abba and V Balanag assessed the eligibility of the retrieved papers, and Q Liu acted as third author for this stage. M Alejandria, R Berba, Q Liu, and V Balanag assessed the risk of bias of the included trials and extracted the data from papers; MA Lansang and K Abba acted as third authors. M Alejandria and Q Liu wrote to authors of papers for additional information. Q Liu entered the data into Review Manager 5, undertook the analysis, and interpreted the data in consultation with the other authors. Q Liu drafted the review, and the other authors provided comments and helped to revise the review.

Sources of support

Internal sources

  • No sources of support supplied

External sources

  • Department for International Development (DFID), UK.

Declaraciones de interés

disponible en

Ninguno conocido.

Agradecimientos

disponible en

Esta revisión es resultado de un proyecto financiado por el Department for International Development (DFID) del RU para el beneficio de los países en desarrollo. Los criterios expresados no son necesariamente los de DFID.

Version history

Published

Title

Stage

Authors

Version

2014 Nov 18

Reminder systems to improve patient adherence to tuberculosis clinic appointments for diagnosis and treatment

Review

Qin Liu, Katharine Abba, Marissa M Alejandria, David Sinclair, Vincent M Balanag, Mary Ann D Lansang

https://doi.org/10.1002/14651858.CD006594.pub3

2008 Oct 08

Reminder systems and late patient tracers in the diagnosis and management of tuberculosis

Review

Qin Liu, Katharine Abba, Marissa M Alejandria, Vincent M Balanag, Regina P Berba, Mary Ann D Lansang

https://doi.org/10.1002/14651858.CD006594.pub2

2007 Jul 18

Reminder systems and late patient tracers in the diagnosis and management of tuberculosis

Protocol

Qin Liu, Katharine Abba, Marissa M Alejandria, Vincent M Balanag, Regina P Berba, Mary Ann D Lansang

https://doi.org/10.1002/14651858.CD006594

Differences between protocol and review

We included 'protection against contamination (co‐intervention)' as a new criterion for assessing risk of bias because, when not fulfilled, it could result in bias.

PICO

Population
Intervention
Comparison
Outcome

El uso y la enseñanza del modelo PICO están muy extendidos en el ámbito de la atención sanitaria basada en la evidencia para formular preguntas y estrategias de búsqueda y para caracterizar estudios o metanálisis clínicos. PICO son las siglas en inglés de cuatro posibles componentes de una pregunta de investigación: paciente, población o problema; intervención; comparación; desenlace (outcome).

Para saber más sobre el uso del modelo PICO, puede consultar el Manual Cochrane.