Skip to main content
padlock icon - secure page this page is secure

Free Content Quality of care in childhood tuberculosis diagnosis at primary care clinics in Kampala, Uganda

Download Article:
 Download
(PDF 799.5 kb)
 
OBJECTIVE: To assess the quality of routine childhood tuberculosis (TB) evaluation in Kampala, Uganda.

SETTING AND DESIGN: This was a cross-sectional study of children aged <15 years attending six government-run clinics from November 2015 to December 2016. Clinicians completed a standardized patient record form for all child visits. We assessed the following performance indicators of TB evaluation developed based on the Desk Guide of the International Union Against Tuberculosis and Lung Disease, an evidence-based decision aid on childhood TB diagnosis and management for clinicians: proportion screened for TB symptoms or contact history, proportion referred for laboratory evaluation if screen-positive, and proportion treated for TB if test-positive or meeting clinical criteria.

RESULTS: Of 24 566 consecutive children enrolled, 11 614 (47%) were fully screened for TB symptoms. Of 1747 (15%) children who screened positive, 360 (21%) had sputum examined, including 159 (44%) using smear microscopy, 244 (67%) using Xpert® MTB/RIF, and 52 (14%) using both techniques. Treatment was initiated in 18/20 (80%) children who tested positive. An additional 65 screen-positive children met the clinical criteria for TB; none were initiated on treatment.

CONCLUSIONS: Large gaps exist along the pathway to diagnosis and treatment of childhood TB. There is an urgent need for enhanced implementation of evidence-based approaches to TB diagnosis to improve outcomes in childhood TB.
No Reference information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: low-income countries; pediatric tuberculosis; quality

Document Type: Research Article

Affiliations: 1: School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda 2: Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California 3: Pulmonary, Critical Care, & Sleep Medicine Section, School of Medicine and Department of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, Connecticut 4: Division of Pulmonary and Critical Care Medicine and Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, and Curry International Tuberculosis Center, University of California San Francisco, San Francisco, California, USA

Publication date: October 1, 2018

More about this publication?
  • The International Journal of Tuberculosis and Lung Disease publishes articles on all aspects of lung health, including public health-related issues such as training programmes, cost-benefit analysis, legislation, epidemiology, intervention studies and health systems research. The IJTLD is dedicated to the continuing education of physicians and health personnel and the dissemination of information on lung health world-wide.

    To share scientific research of immediate concern as rapidly as possible, The Union is fast-tracking the publication of certain articles from the IJTLD and publishing them on The Union website, prior to their publication in the Journal. Read fast-track articles.

    Certain IJTLD articles are also selected for translation into French, Spanish, Chinese or Russian. These are available on the Union website.

  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • International Journal of Tuberculosis and Lung Disease
  • Public Health Action
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more