Radiographers' performance in chest X-ray interpretation: the Nigerian experience

Br J Radiol. 2015 Jul;88(1051):20150023. doi: 10.1259/bjr.20150023. Epub 2015 May 12.

Abstract

Objective: To assess the performance of Nigerian radiographers in interpretation of plain chest radiographs and to assess whether age, years since qualification and sector of practice are associated with performance.

Methods: A test set of 50 radiographs containing 23 cases with no pathology (normal) and 27 abnormal cases (cardiopulmonary conditions) independently confirmed by 3 radiologists were presented to 51 radiographers in a random order. Readers independently evaluated radiographs for absence or presence of disease and stated the location, radiographic features and diagnosis. Readers self-reported their age, years since qualification and sector of practice. Receiver operating characteristic was used to assess the performance. Mann-Whitney U test was used to assess whether age, years since qualification and sector of practice were associated with performance.

Results: Mean location sensitivity was 88.9 [95% confidence interval (CI), 0.787-0.980]. Mean sensitivity and specificity were 76.9 (95% CI, 0.658-0.864) and 79.8 (95% CI, 0.658-0.864), respectively. Age was not associated with performance (p = 0.07). Number of years qualified as radiographer (p = 0.005) and private practice (p = 0.004) were positively associated with performance.

Conclusion: Nigerian radiographers can correctly report chest radiographs to a reasonable standard, and performance is associated with number of years since qualification and the sector of practice.

Advances in knowledge: There are less than 300 radiologists serving a Nigerian population of about 170 million; therefore, X-ray interpretation by radiographers deserves consideration. Nigerian radiographers have potential to interpret chest X-ray in the clinical setting, and this may significantly improve radiology service delivery in this region.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Child
  • Clinical Competence*
  • Female
  • Hospitals, Public
  • Humans
  • Image Interpretation, Computer-Assisted
  • Male
  • Middle Aged
  • Nigeria
  • Pilot Projects
  • Private Practice
  • Radiography, Thoracic*
  • Radiology
  • Workforce
  • Young Adult