Ovarian cancer symptom awareness and anticipated time to help-seeking for symptoms among UK women

J Fam Plann Reprod Health Care. 2013 Jul;39(3):163-71. doi: 10.1136/jfprhc-2012-100473. Epub 2013 May 24.

Abstract

Objectives: To determine levels of awareness of ovarian cancer symptoms and to identify barriers to help-seeking and predictors of a longer time to help-seeking in a UK female population-based sample.

Methods: A UK population-based sample of women [n=1000, including a subsample of women at higher risk due to their age (≥45 years, n=510)] completed the Ovarian Cancer Awareness Measure by telephone interview. Questions measured symptom awareness (using recall and recognition), barriers to medical help-seeking and anticipated time to help-seeking. Regression analyses identified predictors of a higher score on a scale of anticipated time to help-seeking.

Results: Most women (58% overall sample; 54% subgroup) were unable to recall any symptoms but 99% recognised at least one. Recognition was lowest for difficulty eating and persistently feeling full. In the sample overall, higher socio-economic status and higher endorsement of practical and service barriers independently predicted a longer anticipated time to help-seeking for more symptoms. White ethnicity was an additional predictor in the older subgroup.

Conclusions: This study suggests awareness of ovarian cancer symptoms is low in the UK, and varies widely between symptoms. It identifies variables that may be involved in a longer time to help-seeking for possible ovarian cancer symptoms and highlights the need for more in-depth research into the factors related to time to help-seeking in real-world situations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Middle Aged
  • Ovarian Neoplasms / complications*
  • Ovarian Neoplasms / diagnosis
  • Patient Acceptance of Health Care*
  • Qualitative Research
  • Regression Analysis
  • Time Factors
  • United Kingdom
  • Young Adult