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.
The recent development in optimising palliative care standards in thoracic oncology is associated with an increased demand in specialized communication skills. Standardised and integrated assessments of the palliative care need of the patient is met by limited health care resources. The model of communication described in this article emphasizes the need to structure palliative distress assessment of the patient. Communication pathways are shown as a platform to evaluate and support patient and caregivers. Standards to establish algorithms of communication in palliative care will improve the very important interaction between patient and caregivers.
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