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Articles

The influence of patient-related factors on the frequency and duration of psycho-oncological sessions in a university cancer center

, Psych, , PsychORCID Icon, , Psych & , PhD
 

Abstract

Objective

The present study aimed at identifying factors that are associated with the frequency and duration of psycho-oncological sessions.

Design

In a retrospective single-center study, data of all patients who made use of the psycho-oncological service (POS) at the University Hospital Erlangen from April 2017 – March 2018 were registered.

Sample

Over the course of one year, N = 1601 patients made use of the POS.

Methods

In the hospital’s digital documentation system, relevant data such as frequency of sessions, duration of sessions, gender, age, family status, preexisting mental disorder, prior psychotherapy, cancer entity (type of cancer) and treatment modality were recorded. Socio-demographic and clinical parameters were analyzed to predict frequency and duration of the psycho-oncology sessions.

Findings

Regression analyses revealed that among POS users, women, younger patients, patients with a longer hospital stay and those with a preexisting mental disorder attended significantly more sessions than other patients (p < .001). Patients with skin cancer had significantly fewer POS sessions than those with a hematological diagnosis. Also, patients who had undergone surgery had significantly fewer sessions than patients with pharmacological treatment. Younger age and a longer hospital stay significantly predicted longer sessions (p < .001). In the regression model, patients with brain tumors and lung cancer had significantly longer sessions than patients with skin cancer.

Implications

With the identification of specific risk groups that require more and longer sessions, we can provide the basis for more patient-tailored intervention approaches and better scheduling according to the patients’ needs. However, our results also suggest that the frequency and duration of POS sessions also depend on illness- and treatment-related criteria, e.g. the length of the hospital stay.

Data availability

The data supporting our findings can be requested from Martina Madl ([email protected]), Marietta Lieb ([email protected]), and Prof. Dr. Yesim Erim ([email protected]).

Disclosure statement

All authors declare that they have no relevant financial or non-financial competing interests to report.

Funding

No funding was obtained for the conduction of this project.

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