Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation

BackgroundMobile health (mHealth) technologies are increasingly used in various medical fields. However, the potential of mHealth to improve patient care in radiotherapy by acquiring electronic patient reported outcome measures (ePROMs) during treatment has been poorly studie...

Full description

Bibliographic Details
Main Authors: Hauth, Franziska, Bizu, Verena, App, Rehan, Lautenbacher, Heinrich, Tenev, Alina, Bitzer, Michael, Malek, Nisar Peter, Zips, Daniel, Gani, Cihan
Format: Article
Language:English
Published: JMIR Publications 2019-07-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2019/7/e12345/
id doaj-bc10ce8994f341e2a79f4073918dae73
record_format Article
spelling doaj-bc10ce8994f341e2a79f4073918dae732021-05-03T03:34:12ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222019-07-0177e1234510.2196/12345Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow ImplementationHauth, FranziskaBizu, VerenaApp, RehanLautenbacher, HeinrichTenev, AlinaBitzer, MichaelMalek, Nisar PeterZips, DanielGani, Cihan BackgroundMobile health (mHealth) technologies are increasingly used in various medical fields. However, the potential of mHealth to improve patient care in radiotherapy by acquiring electronic patient reported outcome measures (ePROMs) during treatment has been poorly studied so far. ObjectiveThe aim of this study was to develop and implement a novel Web app (PROMetheus) for patients undergoing radiotherapy. Herein, we have reported our experience with a focus on feasibility, patient acceptance, and a correlation of ePROMs with the clinical course of the patients. MethodsIn the period between January and June 2018, 21 patients used PROMetheus to score side effects, symptoms, and quality of life–related parameters during and after their treatment. Items of the Patient Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) were chosen based on the primary site of disease, 27 items for head and neck tumors, 21 items for thoracic tumors, and 24 items for pelvic tumors. ResultsIn total, 17 out of the 21 patients (81%) regularly submitted ePROMs and more than 2500 data points were acquired. An average of 5.2, 3.5, and 3.3 min was required to complete the head and neck, thorax, and pelvis questionnaires, respectively. ePROMS were able to detect the occurrence of both expected and unexpected side effects during the treatment. ConclusionsThis study shows the successful implementation of an ePROM system and a high patient acceptance. ePROMs have a great potential to improve patient care in radiotherapy by providing a comprehensive documentation of symptoms and side effects, especially of ones that are otherwise underreported.http://mhealth.jmir.org/2019/7/e12345/
collection DOAJ
language English
format Article
sources DOAJ
author Hauth, Franziska
Bizu, Verena
App, Rehan
Lautenbacher, Heinrich
Tenev, Alina
Bitzer, Michael
Malek, Nisar Peter
Zips, Daniel
Gani, Cihan
spellingShingle Hauth, Franziska
Bizu, Verena
App, Rehan
Lautenbacher, Heinrich
Tenev, Alina
Bitzer, Michael
Malek, Nisar Peter
Zips, Daniel
Gani, Cihan
Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
JMIR mHealth and uHealth
author_facet Hauth, Franziska
Bizu, Verena
App, Rehan
Lautenbacher, Heinrich
Tenev, Alina
Bitzer, Michael
Malek, Nisar Peter
Zips, Daniel
Gani, Cihan
author_sort Hauth, Franziska
title Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
title_short Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
title_full Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
title_fullStr Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
title_full_unstemmed Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation
title_sort electronic patient-reported outcome measures in radiation oncology: initial experience after workflow implementation
publisher JMIR Publications
series JMIR mHealth and uHealth
issn 2291-5222
publishDate 2019-07-01
description BackgroundMobile health (mHealth) technologies are increasingly used in various medical fields. However, the potential of mHealth to improve patient care in radiotherapy by acquiring electronic patient reported outcome measures (ePROMs) during treatment has been poorly studied so far. ObjectiveThe aim of this study was to develop and implement a novel Web app (PROMetheus) for patients undergoing radiotherapy. Herein, we have reported our experience with a focus on feasibility, patient acceptance, and a correlation of ePROMs with the clinical course of the patients. MethodsIn the period between January and June 2018, 21 patients used PROMetheus to score side effects, symptoms, and quality of life–related parameters during and after their treatment. Items of the Patient Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) were chosen based on the primary site of disease, 27 items for head and neck tumors, 21 items for thoracic tumors, and 24 items for pelvic tumors. ResultsIn total, 17 out of the 21 patients (81%) regularly submitted ePROMs and more than 2500 data points were acquired. An average of 5.2, 3.5, and 3.3 min was required to complete the head and neck, thorax, and pelvis questionnaires, respectively. ePROMS were able to detect the occurrence of both expected and unexpected side effects during the treatment. ConclusionsThis study shows the successful implementation of an ePROM system and a high patient acceptance. ePROMs have a great potential to improve patient care in radiotherapy by providing a comprehensive documentation of symptoms and side effects, especially of ones that are otherwise underreported.
url http://mhealth.jmir.org/2019/7/e12345/
work_keys_str_mv AT hauthfranziska electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT bizuverena electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT apprehan electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT lautenbacherheinrich electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT tenevalina electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT bitzermichael electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT maleknisarpeter electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT zipsdaniel electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
AT ganicihan electronicpatientreportedoutcomemeasuresinradiationoncologyinitialexperienceafterworkflowimplementation
_version_ 1721484637769826304