Glioma patients in outpatient care-optimization of psychosocial care in neuro-oncological patients (GLIOPT): Protocol for a cluster randomized controlled trial.


Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
27 May 2020
Historique:
received: 27 02 2020
accepted: 10 04 2020
entrez: 29 5 2020
pubmed: 29 5 2020
medline: 20 2 2021
Statut: epublish

Résumé

Patients with high-grade gliomas (HGG) often suffer from high distress and require psychosocial support. However, due to neurological and neurocognitive deficits, adequate assessment of distress and support needs remains challenging in clinical practice. The objective of the present study is to investigate whether a systematic implementation of signaling questions into the routine outpatient consultation will be helpful to bridge this gap. This is a multicenter cluster randomized study with two arms. Randomization is done on a cluster level with 13 hospitals providing regular neuro-oncological outpatient services conducted by neurologists and/or neurosurgeons. The intervention will include an assessment of psychosocial distress of patients in doctor-patient conversation compared to assessment of psychosocial distress via questionnaire (control, standard of care). In total, 616 HGG patients will be enrolled. The outcome will be the number of HGG patients with increased psychosocial distress who receive professional support from psychosocial services. Secondary endpoints are inter alia number of patients reporting psychosocial distress and unmet needs detected correctly by the respective method; quality of life; psychological well-being and burden of the patients before and after doctor-patient consultation; as well as the length of the doctor-patient consultation. Patients with HGG are confronted with an oncological diagnosis and at the same time with high symptom burden. This often leads to distress, which is not always adequately recognized and treated. So far, only a limited number of adequate instruments are available to assess HGG patient's distress. Yet, an adequate care and support network might facilitate the course of the disease and tumor therapies for patients. Our hypothesis is that an assessment conducted directly by attending doctors and in which the doctors talk to patients with HGG will be more effective than an assessment via a questionnaire, leading to better identifying patients in need of support. This may lead to an improvement of health care in these patients. Further, this method might be implemented also in other brain tumor patients (e.g., patients with brain metastases). German Clinical Trials Register, DRKS00018079. Registered on 3rd September 2019.

Sections du résumé

BACKGROUND BACKGROUND
Patients with high-grade gliomas (HGG) often suffer from high distress and require psychosocial support. However, due to neurological and neurocognitive deficits, adequate assessment of distress and support needs remains challenging in clinical practice. The objective of the present study is to investigate whether a systematic implementation of signaling questions into the routine outpatient consultation will be helpful to bridge this gap.
METHODS/DESIGN METHODS
This is a multicenter cluster randomized study with two arms. Randomization is done on a cluster level with 13 hospitals providing regular neuro-oncological outpatient services conducted by neurologists and/or neurosurgeons. The intervention will include an assessment of psychosocial distress of patients in doctor-patient conversation compared to assessment of psychosocial distress via questionnaire (control, standard of care). In total, 616 HGG patients will be enrolled. The outcome will be the number of HGG patients with increased psychosocial distress who receive professional support from psychosocial services. Secondary endpoints are inter alia number of patients reporting psychosocial distress and unmet needs detected correctly by the respective method; quality of life; psychological well-being and burden of the patients before and after doctor-patient consultation; as well as the length of the doctor-patient consultation.
DISCUSSION CONCLUSIONS
Patients with HGG are confronted with an oncological diagnosis and at the same time with high symptom burden. This often leads to distress, which is not always adequately recognized and treated. So far, only a limited number of adequate instruments are available to assess HGG patient's distress. Yet, an adequate care and support network might facilitate the course of the disease and tumor therapies for patients. Our hypothesis is that an assessment conducted directly by attending doctors and in which the doctors talk to patients with HGG will be more effective than an assessment via a questionnaire, leading to better identifying patients in need of support. This may lead to an improvement of health care in these patients. Further, this method might be implemented also in other brain tumor patients (e.g., patients with brain metastases).
TRIAL REGISTRATION BACKGROUND
German Clinical Trials Register, DRKS00018079. Registered on 3rd September 2019.

Identifiants

pubmed: 32460811
doi: 10.1186/s13063-020-04321-2
pii: 10.1186/s13063-020-04321-2
pmc: PMC7251889
doi:

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

434

Références

Neuro Oncol. 2016 Mar;18(3):435-44
pubmed: 26385615
Psychooncology. 2011 Jun;20(6):623-30
pubmed: 21449043
Strahlenther Onkol. 2019 Nov;195(11):1018-1027
pubmed: 31292665
J Natl Compr Canc Netw. 2003 Jul;1(3):344-74
pubmed: 19761069
Neurooncol Pract. 2014 Jun;1(2):40-46
pubmed: 26034615
J Neurooncol. 2013 Feb;111(3):303-11
pubmed: 23212677
J Neurooncol. 2011 Aug;104(1):357-64
pubmed: 21188470
Neurooncol Pract. 2018 May;5(2):129-138
pubmed: 31385978
Cancer. 2012 Dec 15;118(24):6260-9
pubmed: 22674666
Acta Neurochir (Wien). 2014 Aug;156(8):1451-9
pubmed: 24879620
Support Care Cancer. 2018 Jun;26(6):1851-1859
pubmed: 29270828
Eur J Cancer Care (Engl). 2018 Jan;27(1):
pubmed: 27774664
Br J Cancer. 2013 Apr 16;108(7):1402-7
pubmed: 23511558
J Neurooncol. 2017 Jan;131(1):135-151
pubmed: 27638638
Neuro Oncol. 2012 Apr;14(4):392-404
pubmed: 22307475
J Int Neuropsychol Soc. 2011 Mar;17(2):256-66
pubmed: 21205412
Eur J Cancer. 2010 Apr;46(6):1033-40
pubmed: 20181476
Neuro Oncol. 2017 May 1;19(5):625-635
pubmed: 28453751
Qual Life Res. 2009 Oct;18(8):991-8
pubmed: 19657724
J Neurooncol. 2017 Jul;133(3):653-662
pubmed: 28527007

Auteurs

Mirjam Renovanz (M)

Department of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Tübingen, Germany. mirjam.renovanz@med.uni-tuebingen.de.
Hertie Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Tübingen, Germany. mirjam.renovanz@med.uni-tuebingen.de.
Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany. mirjam.renovanz@med.uni-tuebingen.de.
Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany. mirjam.renovanz@med.uni-tuebingen.de.

Melina Hippler (M)

Department of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Tübingen, Germany.
Hertie Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Tübingen, Germany.
Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.

Martin Voss (M)

Dr. Senckenberg Institute of Neurooncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.

Jens Wehinger (J)

Department of Neurology, Clinic Ludwigsburg, Ludwigsburg, Germany.

Almuth F Keßler (AF)

Department of Neurosurgery, University Hospital Würzburg, Würzburg, Germany.

Jens Gempt (J)

Department of Neurosurgery, Klinikum Rechts Der Isar, Technical University Munich, Munich, Germany.

Minou Nadji-Ohl (M)

Department of Neurosurgery, Klinikum Stuttgart, Katharinenhospital (KH), Stuttgart, Germany.

Carolin Weiß Lucas (C)

Center for Neurosurgery, University Hospital Cologne, Faculty of Medicine, University of Cologne, Köln, Germany.

Marion Rapp (M)

Department of Neurosurgery, University Hospital Düsseldorf, Düsseldorf, Germany.

Martin Misch (M)

Department of Neurosurgery, Charité - University Medical Center Berlin, Berlin, Germany.

Jan Coburger (J)

Department of Neurosurgery, University Hospital Ulm, Ulm, Germany.

Marcus Mehlitz (M)

Department of Neurosurgery, Klinikum Barmherzige Brueder Trier, Trier, Germany.

Jürgen Meixensberger (J)

Department of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.

Naureen Keric (N)

Department of Neurosurgery, University Medical Center Mainz, Mainz, Germany.

Ghazaleh Tabatabai (G)

Department of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Tübingen, Germany.
Hertie Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Tübingen, Germany.
Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.

Maria Blettner (M)

Institute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.

Melanie Schranz (M)

Institute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.

Susanne Singer (S)

Institute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.

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