Socio-economic impact on women diagnosed and treated for breast cancer: a cross-sectional study

Clin Transl Oncol. 2019 Dec;21(12):1736-1745. doi: 10.1007/s12094-019-02185-w. Epub 2019 Jul 20.

Abstract

Introduction: The increase in breast cancer survival poses a challenge for patients to be able to rejoin their professional and social life in very similar conditions to those before diagnosis. The aim of this study is to assess short- and medium-term social, economic and professional impact of BC among women diagnosed with it.

Methods: A cross-sectional descriptive study using QLQ-C30, QLQ-BR23, and MOS-SSS instruments and a semi-structured interview in women diagnosed in years 2011, 2014, and 2016 in Hospital de la Santa Creu i Sant Pau in Barcelona (Spain).

Results: 175 patients were included with a mean age of 55. About 62.8% were married or coupled, 76% were living with their family unit, and 52.6% denied changes in their living situation. The mean Support Global Index was 74.7% and 78.8% before and after diagnosis, respectively. The mean global quality of life (QOL) was 67.3%, outstanding insomnia as the main symptom (X > 30%) and sexual function as the most affected dimension. At the moment of diagnosis, two-thirds of patients were working. After diagnosis, 87.5% stopped working, 39.4% were off work for 7-12 months, and only 50% returned to work. Multivariate analysis identified working as the most associated variable with a good QOL.

Conclusions: QOL among women diagnosed with breast cancer is quite high and stable. Nevertheless, there are some very relevant aspects to QOL that need to be considered whilst caring for patients with BC to achieve rehabilitation as complete and comprehensive as possible.

Keywords: Breast neoplasms; Quality of life; Social support; Socioeconomic analysis.

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms* / complications
  • Breast Neoplasms* / diagnosis
  • Breast Neoplasms* / therapy
  • Cancer Survivors
  • Cross-Sectional Studies
  • Employment / statistics & numerical data
  • Family Characteristics
  • Female
  • Humans
  • Middle Aged
  • Multivariate Analysis
  • Quality of Life
  • Residence Characteristics
  • Return to Work / statistics & numerical data
  • Sexual Behavior
  • Sleep Wake Disorders / epidemiology
  • Social Change
  • Social Support
  • Socioeconomic Factors*
  • Spain