Reader practice in mammography screen reporting in Australia

J Med Imaging Radiat Oncol. 2009 Dec;53(6):530-7. doi: 10.1111/j.1754-9485.2009.02119.x.

Abstract

Reader variability is a problem in mammography image reporting and compromises the efficacy of screening programmes. The purpose of this exploratory study was to survey reader practice in reporting screening mammograms in Australia to identify aspects of practice that warrant further investigation. Mammography reporting practice and influences on concentration and attention were investigated by using an original questionnaire distributed to screen readers in Australia. A response rate of 71% (83 out of 117) was achieved. Demographic data indicated that the majority of readers were over 46 years of age (73%), have been reporting on screening mammograms for over 10 years (61%), take less than 1 min to report upon a screening mammogram examination (66%), report up to 200 examinations in a single session (83%) and take up to 2 h to report one session (61%). A majority report on more than 5000 examinations annually (66%); 93% of participants regard their search strategy as systematic, 87% agreed that their concentration can vary throughout a session, 64% agreed that the relatively low number of positives can lead to lapses in concentration and attention and almost all (94%) participants agreed that methods to maximise concentration should be explored. Participants identified a range of influences on concentration within their working environment including volume of images reported in one session, image types and aspects of the physical environment. This study has provided important evidence of the need to investigate adverse influences on concentration during mammography screen reporting.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Australia / epidemiology
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / epidemiology*
  • Female
  • Humans
  • Mammography / statistics & numerical data*
  • Mass Screening / statistics & numerical data*
  • Middle Aged
  • Observer Variation
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prevalence
  • Surveys and Questionnaires