Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders

Louise Elkjær Fløe; Josefine Maria Bruun; Jesper Grau Eriksen; Poul Videbech; Mette Asbjørn Neergaard; Anna Mygind

doi:10.1016/j.ejon.2024.102748

Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders

Louise Elkjær Fløe^*, Josefine Maria Bruun, Jesper Grau Eriksen, Poul Videbech, Mette Asbjørn Neergaard, Anna Mygind

^*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

PURPOSE: Cancer patients with pre-existing severe mental disorders (SMD), including moderate to severe depression, bipolar disorder and schizophrenia, have reduced life expectancy and are less likely to receive optimal cancer treatment. The aim of this study is to develop and pilot test a supportive care model, to enhance cancer care in this population.

METHODS: The model was developed through three phases. In phase I, a barrier analysis and prototype of the model were conducted from reviewing the literature and through 162 informal interviews with healthcare professionals, patients and patient representatives. In phase II, the prototype was refined through four workshops with a total of five cancer nurses, four clinical oncologists, three psychiatrists, two general practitioners, one psychologist, and 16 patient representatives. Thereafter, a pilot test with 13 patients was carried out, where continuous adaptations to the prototype from phase II, were made. The quantitative and qualitative data were analysed focusing on components which were prominent and able to fit into the clinical setting.

RESULTS: The final CASEMED supportive cancer care model included: Early identification of psychiatric comorbidity, engagement of significant caregivers, education of the oncological HCPs, securing continuity among staff and enhanced collaboration between sectors. The latter was achieved through an online psychiatric multidisciplinary team conference where the patient's general practitioner, a psychiatrist and the patient's oncologist participated.

CONCLUSION: This study indicates that the model can be implemented in practice and has the potential to optimize cancer care for patients with cancer and pre-existing SMD. A larger feasibility study is currently being conducted.

Original language	English
Article number	102748
Journal	European Journal of Oncology Nursing
Volume	74
ISSN	1462-3889
DOIs	https://doi.org/10.1016/j.ejon.2024.102748
Publication status	Published - Feb 2025

Keywords

Cancer
Delivery of health care
Health care disparities
Mental disorders
Psycho-oncology

Access to Document

10.1016/j.ejon.2024.102748Licence: CC BY

Cite this

@article{f3964bef6e3f487494dabfae89a5ddc4,

title = "Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders",

abstract = "PURPOSE: Cancer patients with pre-existing severe mental disorders (SMD), including moderate to severe depression, bipolar disorder and schizophrenia, have reduced life expectancy and are less likely to receive optimal cancer treatment. The aim of this study is to develop and pilot test a supportive care model, to enhance cancer care in this population.METHODS: The model was developed through three phases. In phase I, a barrier analysis and prototype of the model were conducted from reviewing the literature and through 162 informal interviews with healthcare professionals, patients and patient representatives. In phase II, the prototype was refined through four workshops with a total of five cancer nurses, four clinical oncologists, three psychiatrists, two general practitioners, one psychologist, and 16 patient representatives. Thereafter, a pilot test with 13 patients was carried out, where continuous adaptations to the prototype from phase II, were made. The quantitative and qualitative data were analysed focusing on components which were prominent and able to fit into the clinical setting.RESULTS: The final CASEMED supportive cancer care model included: Early identification of psychiatric comorbidity, engagement of significant caregivers, education of the oncological HCPs, securing continuity among staff and enhanced collaboration between sectors. The latter was achieved through an online psychiatric multidisciplinary team conference where the patient's general practitioner, a psychiatrist and the patient's oncologist participated.CONCLUSION: This study indicates that the model can be implemented in practice and has the potential to optimize cancer care for patients with cancer and pre-existing SMD. A larger feasibility study is currently being conducted.",

keywords = "Cancer, Delivery of health care, Health care disparities, Mental disorders, Psycho-oncology",

author = "Fl{\o}e, {Louise Elkj{\ae}r} and Bruun, {Josefine Maria} and Eriksen, {Jesper Grau} and Poul Videbech and Neergaard, {Mette Asbj{\o}rn} and Anna Mygind",

year = "2025",

month = feb,

doi = "10.1016/j.ejon.2024.102748",

language = "English",

volume = "74",

journal = "European Journal of Oncology Nursing",

issn = "1462-3889",

publisher = "Churchill Livingstone",

}

Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders. / Fløe, Louise Elkjær ; Bruun, Josefine Maria ; Eriksen, Jesper Grau et al.
In: European Journal of Oncology Nursing, Vol. 74, 102748, 02.2025.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders

AU - Fløe, Louise Elkjær

AU - Bruun, Josefine Maria

AU - Eriksen, Jesper Grau

AU - Videbech, Poul

AU - Neergaard, Mette Asbjørn

AU - Mygind, Anna

PY - 2025/2

Y1 - 2025/2

N2 - PURPOSE: Cancer patients with pre-existing severe mental disorders (SMD), including moderate to severe depression, bipolar disorder and schizophrenia, have reduced life expectancy and are less likely to receive optimal cancer treatment. The aim of this study is to develop and pilot test a supportive care model, to enhance cancer care in this population.METHODS: The model was developed through three phases. In phase I, a barrier analysis and prototype of the model were conducted from reviewing the literature and through 162 informal interviews with healthcare professionals, patients and patient representatives. In phase II, the prototype was refined through four workshops with a total of five cancer nurses, four clinical oncologists, three psychiatrists, two general practitioners, one psychologist, and 16 patient representatives. Thereafter, a pilot test with 13 patients was carried out, where continuous adaptations to the prototype from phase II, were made. The quantitative and qualitative data were analysed focusing on components which were prominent and able to fit into the clinical setting.RESULTS: The final CASEMED supportive cancer care model included: Early identification of psychiatric comorbidity, engagement of significant caregivers, education of the oncological HCPs, securing continuity among staff and enhanced collaboration between sectors. The latter was achieved through an online psychiatric multidisciplinary team conference where the patient's general practitioner, a psychiatrist and the patient's oncologist participated.CONCLUSION: This study indicates that the model can be implemented in practice and has the potential to optimize cancer care for patients with cancer and pre-existing SMD. A larger feasibility study is currently being conducted.

AB - PURPOSE: Cancer patients with pre-existing severe mental disorders (SMD), including moderate to severe depression, bipolar disorder and schizophrenia, have reduced life expectancy and are less likely to receive optimal cancer treatment. The aim of this study is to develop and pilot test a supportive care model, to enhance cancer care in this population.METHODS: The model was developed through three phases. In phase I, a barrier analysis and prototype of the model were conducted from reviewing the literature and through 162 informal interviews with healthcare professionals, patients and patient representatives. In phase II, the prototype was refined through four workshops with a total of five cancer nurses, four clinical oncologists, three psychiatrists, two general practitioners, one psychologist, and 16 patient representatives. Thereafter, a pilot test with 13 patients was carried out, where continuous adaptations to the prototype from phase II, were made. The quantitative and qualitative data were analysed focusing on components which were prominent and able to fit into the clinical setting.RESULTS: The final CASEMED supportive cancer care model included: Early identification of psychiatric comorbidity, engagement of significant caregivers, education of the oncological HCPs, securing continuity among staff and enhanced collaboration between sectors. The latter was achieved through an online psychiatric multidisciplinary team conference where the patient's general practitioner, a psychiatrist and the patient's oncologist participated.CONCLUSION: This study indicates that the model can be implemented in practice and has the potential to optimize cancer care for patients with cancer and pre-existing SMD. A larger feasibility study is currently being conducted.

KW - Cancer

KW - Delivery of health care

KW - Health care disparities

KW - Mental disorders

KW - Psycho-oncology

UR - http://www.scopus.com/inward/record.url?scp=85211139263&partnerID=8YFLogxK

U2 - 10.1016/j.ejon.2024.102748

DO - 10.1016/j.ejon.2024.102748

M3 - Journal article

C2 - 39647391

SN - 1462-3889

VL - 74

JO - European Journal of Oncology Nursing

JF - European Journal of Oncology Nursing

M1 - 102748

ER -

Development of a supportive cancer care model for patients with CAncer and pre-existing SEvere MEntal Disorders

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this