Evidence map›Paper›PMID 26400386›Full record

ArticlePublic health action2015

Countrywide roll-out of Xpert(®) MTB/RIF in Swaziland: the first three years of implementation.

W Sikhondze, T Dlamini, D Khumalo, G Maphalala, S Dlamini, T Zikalala, H Albert, J Wambugu, K Tayler-Smith, E Ali and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Public health action, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Rifampicin-resistantJournal of clinical tuberculosis and other mycobacterial diseases · 2025
    Article
  4. Article
  5. Article
  6. Evolution ofFrontiers in cellular and infection microbiology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. XpertThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
    Article
  13. Review
  14. Has the utilisation of XpertPublic health action · 2018
    Article
  15. Article
  16. Impact of Laboratory Practice Changes on the Diagnosis of Tuberculosis with the Introduction of Xpert MTB/RIF in Kiribati.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2018
    Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 8 countries.

W SikhondzeNational Tuberculosis Control Programme, Mbabane, Swaziland ; Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
T DlaminiNational Tuberculosis Control Programme, Mbabane, Swaziland.
D KhumaloNational Tuberculosis Control Programme, Mbabane, Swaziland ; National TB Reference Laboratory, Mbabane, Swaziland.
G MaphalalaSwaziland Health Laboratory Services, Mbabane, Swaziland.
S DlaminiSwaziland Health Laboratory Services, Mbabane, Swaziland.
T ZikalalaNational TB Reference Laboratory, Mbabane, Swaziland ; University Research Co., Center for Human Services, Mbabane, Swaziland.
H AlbertFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
J WambuguFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
K Tayler-SmithMédecins Sans Frontières, Medical Department, Operational Research Centre, Brussels, MSF-Luxembourg, Luxembourg.
E AliMédecins Sans Frontières, Medical Department, Operational Research Centre, Brussels, MSF-Luxembourg, Luxembourg.
S AdeNational Tuberculosis Programme, Cotonou, Bénin ; International Union Against Tuberculosis and Lung Disease, Paris, France.
A D HarriesInternational Union Against Tuberculosis and Lung Disease, Paris, France ; London School of Hygiene & Tropical Medicine, London, United Kingdom.
TuBerculosis Vaccine Initiative · NLFoundation for Innovative New Diagnostics · CHInternational Union Against Tuberculosis and Lung Disease · FRMédecins Sans Frontières · LUSwaziland National Trust Commission · SZUniversity Research Co (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingAll 19 public health laboratories in Swaziland that had Xpert(®) MTB/RIF machines installed as part of a countrywide roll-out between June 2011 and June 2014.

objectiveTo evaluate the utilisation and functionality of Xpert from 2011 to mid-2014.

designDescriptive study of Xpert implementation using routinely collected data.

resultsOf 48 829 Xpert tests conducted, 93% were successful: 14% detected Mycobacterium tuberculosis and 12% showed rifampicin resistance. The most common cause of unsuccessful tests was an 'Error' result (62%). Similar findings were obtained in government-supported and partner-supported laboratories. Annual utilisation of Xpert improved from 51% of maximum capacity in 2011 and 2012 to 74% in 2013 and 2014. A monitoring and supervision exercise of all Xpert testing sites in 2014 showed a generally good performance, with over 50% of laboratories achieving a ⩾80% score on most components. However, poor scores were obtained with equipment use and maintenance (6% achieving a score of ⩾80%), internal audit (19% achieving a score of ⩾80%) and process control (25% achieving a score of ⩾80%).

conclusionCountrywide roll-out of Xpert in Swaziland has been successful, although operational issues have been identified and need to be resolved.

Indexed as

operational researchSORT ITSwazilandtuberculosisXpert® MTB/RIF

Identifiers

PMID26400386
PMCPMC4487476
OpenAlexW2253671462

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.