BMC Cancer (Jun 2021)

Use of social service counseling by cancer patients: an analysis of quality assurance data of 6339 breast cancer patients from 13 certified centers in Germany treated between 2015 and 2017

  • Clara Breidenbach,
  • Simone Wesselmann,
  • Nora Tabea Sibert,
  • Olaf Ortmann,
  • Katrin Blankenburg,
  • Cindy Stoklossa,
  • Gerhard Gebauer,
  • Marina dos Santos Guilherme,
  • Christoph Lindner,
  • Susanne Peschel,
  • Friedemann Schad,
  • Paul Strecker,
  • Lorenz Rieger,
  • Julia Ferencz,
  • Sebastian Dieng,
  • Christoph Kowalski

DOI
https://doi.org/10.1186/s12885-021-08396-1
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 9

Abstract

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Abstract Background Integrated social care may help to mitigate social risk factors in order to achieve more equitable health outcomes. In cancer centers certified according to the criteria set out by the German Cancer Society, every patient must be given low-threshold access to qualified social workers at the center for in-house social service counseling (SSC). Previous analyses have demonstrated large variation in the utilization of these services across individual centers. Therefore, this research aims at investigating whether SSC utilization varies regarding breast cancer patient characteristics and center characteristics presenting a unique approach of using routine data. Methods Multilevel modeling was performed using quality assurance data based on 6339 patients treated in 13 certified breast cancer centers in Germany in order to investigate whether SSC utilization varies with patient sex, age, and disease characteristics as well as over time and across centers. Results In the sample, 80.3% of the patients used SSC. SSC use varies substantially between centers for the unadjusted model (ICC = 0.24). Use was statistically significantly (P < .001) more likely in women, patients with invasive (in comparison to tumor in situ/ductal carcinoma in situ) diseases (P < .001), patients with both breasts affected (P = .03), patients who received a surgery (P < .001), patients who were diagnosed in 2015 or 2017 compared to 2016 (P < .001) and patients older than 84 years as compared to patients between 55 and 64 years old (P = .002). Conclusion The analysis approach allows a unique insight into the reality of cancer care. Sociodemographic and disease-related patient characteristics were identified to explain SSC use to some extent.

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