Tuberculosis case detection in Nigeria, the unfinished agenda

  • Joshua Obasanya
  • , Saddiq T. Abdurrahman
  • , Olanrewaju Oladimeji
  • , Lovett Lawson
  • , Russell Dacombe
  • , Nkem Chukwueme
  • , Tubi Abiola
  • , Gidado Mustapha
  • , Christophe Sola
  • , Jose Dominguez
  • , Luis Cuevas

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Objective

Underdetection of TB is a major problem in sub-Saharan Africa. WHO recommends countries should have at least 1 laboratory per 100 000 population. However, this recommendation is not evidence based.

Methods

We analysed surveillance data of the Nigerian National TB Control Programme (2008-2012) to describe TB case detection rates, their geographical distribution and their association with the density of diagnostic laboratories and HIV prevalence.

Results

The median CDR was 17.7 (range 4.7–75.8%) in 2008, increasing to 28.6% (range 10.6–72.4%) in 2012 (P < 0.01). The CDR2012 was associated with the 2008 baseline; however, states with CDR2008 < 30% had larger increases than states with CDR2008 > 30. There were 990 laboratories in 2008 and 1453 in 2012 (46.7% increase, range by state −3% to +118). The state CDR2012 could be predicted by the laboratory density (P < 0.001), but was not associated with HIV prevalence or the proportion of smear-positive cases. CDR2012 and laboratory density were correlated among states having < and > than 1 laboratory per 100 000 population.

Conclusion

There are large variations in laboratory density and CDR across the Nigerian states. The CDR is associated with the laboratory density. A much larger number of diagnostic centres are needed. It is likely that a laboratory density above the recommended WHO guideline would result in even higher case detection, and this ratio should be considered a minimum threshold.

Original languageEnglish
Pages (from-to)1396-1402
Number of pages7
JournalTropical Medicine and International Health
Volume20
Issue number10
DOIs
Publication statusPublished - 3 Sept 2015

Keywords

  • HIV
  • Case detection
  • Diagnostic centres
  • Surveillance
  • Tuberculosis

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