Literature DB >> 19843298

Default during TB diagnosis: quantifying the problem.

Mishal S Khan1, Shoaib Khan, Peter Godfrey-Faussett.   

Abstract

OBJECTIVES: To quantify default during diagnosis in TB suspects and in smear-positive cases; to investigate sex differences in default during diagnosis, in all of Pakistan.
METHODS: Data from laboratory registers were collected on 12 216 suspects in nine districts over the period July-September 2008.
RESULTS: A total of 1573 TB suspects (12.9%, 95% CI = 12.3-13.5) dropped out of the diagnostic process after initial sputum submission. A total of 2058 smear-positive cases were detected, and of these 107 (5.2%, 95% CI = 4.2-6.2) defaulted during diagnosis and therefore could not be started on treatment. Male suspects defaulted slightly more frequently than female suspects (P = 0.0268).
CONCLUSION: Default during diagnosis is a frequent occurrence in Pakistan that should be monitored and addressed by TB control programs.

Entities:  

Mesh:

Year:  2009        PMID: 19843298     DOI: 10.1111/j.1365-3156.2009.02406.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  18 in total

1.  Modeling the impact of alternative strategies for rapid molecular diagnosis of tuberculosis in Southeast Asia.

Authors:  Amanda Y Sun; Madhukar Pai; Henrik Salje; Srinath Satyanarayana; Sarang Deo; David W Dowdy
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

2.  Comprehensiveness of primary services in the care of infectious tuberculosis patients in Rawalpindi, Pakistan.

Authors:  R Fatima; Q Ejaz; D A Enarson; K Bissell
Journal:  Public Health Action       Date:  2011-09-21

3.  Alarming rates of attrition among tuberculosis patients in public-private facilities in Lahore, Pakistan.

Authors:  B J Khan; A M V Kumar; A Stewart; N M Khan; K Selvaraj; R Fatima; Z Samad
Journal:  Public Health Action       Date:  2017-06-21

4.  Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia.

Authors:  Riris Andono Ahmad; Francine Matthys; Bintari Dwihardiani; Ning Rintiswati; Sake J de Vlas; Yodi Mahendradhata; Patrick van der Stuyft
Journal:  BMC Public Health       Date:  2012-02-15       Impact factor: 3.295

5.  Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study.

Authors:  Catharina C Boehme; Mark P Nicol; Pamela Nabeta; Joy S Michael; Eduardo Gotuzzo; Rasim Tahirli; Ma Tarcela Gler; Robert Blakemore; William Worodria; Christen Gray; Laurence Huang; Tatiana Caceres; Rafail Mehdiyev; Lawrence Raymond; Andrew Whitelaw; Kalaiselvan Sagadevan; Heather Alexander; Heidi Albert; Frank Cobelens; Helen Cox; David Alland; Mark D Perkins
Journal:  Lancet       Date:  2011-04-18       Impact factor: 79.321

6.  A multi-country non-inferiority cluster randomized trial of frontloaded smear microscopy for the diagnosis of pulmonary tuberculosis.

Authors:  Luis Eduardo Cuevas; Mohammed Ahmed Yassin; Najla Al-Sonboli; Lovett Lawson; Isabel Arbide; Nasher Al-Aghbari; Jeevan Bahadur Sherchand; Amin Al-Absi; Emmanuel Nnamdi Emenyonu; Yared Merid; Mosis Ifenyi Okobi; Juliana Olubunmi Onuoha; Melkamsew Aschalew; Abraham Aseffa; Greg Harper; Rachel Mary Anderson de Cuevas; Kristin Kremer; Dick van Soolingen; Carl-Michael Nathanson; Jean Joly; Brian Faragher; Stephen Bertel Squire; Andrew Ramsay
Journal:  PLoS Med       Date:  2011-07-12       Impact factor: 11.069

7.  Population-level impact of same-day microscopy and Xpert MTB/RIF for tuberculosis diagnosis in Africa.

Authors:  David W Dowdy; J Lucian Davis; Saskia den Boon; Nicholas D Walter; Achilles Katamba; Adithya Cattamanchi
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

8.  Do we need to detect isoniazid resistance in addition to rifampicin resistance in diagnostic tests for tuberculosis?

Authors:  Claudia M Denkinger; Madhukar Pai; David W Dowdy
Journal:  PLoS One       Date:  2014-01-03       Impact factor: 3.240

9.  Modeling the impact of tuberculosis interventions on epidemiologic outcomes and health system costs.

Authors:  Olivia Oxlade; Amy Piatek; Cheri Vincent; Dick Menzies
Journal:  BMC Public Health       Date:  2015-02-13       Impact factor: 3.295

10.  Optimizing tuberculosis case detection through a novel diagnostic device placement model: the case of Uganda.

Authors:  Mai T Pho; Sarang Deo; Kara M Palamountain; Moses Lutaakome Joloba; Francis Bajunirwe; Achilles Katamba
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.