Which electronic patient’s reported outcome should I choose for remote monitoring of my cancer patients? (Preprint)

2021 ◽  
Author(s):  
Fabrice Denis

UNSTRUCTURED Abstract Digital electronic patient reported outcome (ePRO) systems for symptom monitoring in cancer patients demonstrated evidence of quality of life and survival benefit in controlled trials. They are beginning to be used in routine oncology practice. Many software editors provide solutions to clinicians but how can clinician choose it? We propose a synthesis of the main questions about effectiveness, safety and functionality of ePRO system that may ask clinician to software providers to be helped in selecting a software in order to obtain the best value of these tools for their patients and their practice.

2021 ◽  
Author(s):  
Pimrapat Gebert ◽  
Daniel Schindel ◽  
Johann Frick ◽  
Liane Schenk ◽  
Ulrike Grittner

Abstract BackgroundPatient-reported outcome measures (PROMs) are commonly used and are surrogates for clinical outcomes in cancer research. In the research setting of very severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-out or missing data due to patients who deceased during observation period. We aimed to explore patient characteristics and patient-reported outcomes associated with the time-to-dropout. MethodsIn the Oncological Social Care Project (OSCAR) study the condition of participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, and t3: 12 months) by validated PROMs. We performed competing-risks regression based on Fine and Gray’s proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered as competing risk. ResultsThree hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed follow-up at 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to higher risk for drop-out (SHR=2.10; 95%CI: 1.01 – 4.35). Lower values in health-related quality of life were related to drop-out and death. The subscales global health status/QoL, role functioning, physical functioning, and fatigue symptom in the EORTC QLQ-C30 were key characteristics associated with early drop-out.ConclusionSeverely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies compared to patients with higher levels of social support and quality of life. This should be considered when planning studies assessing cancer patients. Methods to monitor drop-outs timely and handle missing outcomes might be used. Results of such studies have to be interpreted with caution in light of the particular drop-out mechanisms.


2016 ◽  
Vol 9 ◽  
pp. CMENT.S40219 ◽  
Author(s):  
Maria K. Peltola ◽  
Joel S. Lehikoinen ◽  
Lauri T. Sippola ◽  
Kauko Saarilahti ◽  
Antti A. Mäkitie

Introduction The patient's role in toxicity reporting is increasingly acknowledged. There is also a need for developing modern communication methods between the patient and the medical personnel. Furthermore, the increasing number of head and neck cancer (HNC) patients is reflected in the volume of treatment follow-up visits, which remains a challenge for the health care. Electronic patient-reported outcome (ePRO) measures may provide a cost-efficient way to organize follow-up for cancer patients. Materials and Methods We tested a novel ePRO application called Kaiku®, which enables real-time, online collection of patient-reported outcomes, such as side effects caused by treatment and quality of life. We conducted a pilot study to assess the suitability of Kaiku® for HNC patients at the Department of Oncology, Helsinki University Hospital, Helsinki, Finland. Patients used Kaiku® during and one month after radiotherapy to report treatment-related side effects and quality of life. Two physicians and a nurse performed the practical electronic communication part of the study. Results Five of the nine patients agreed to participate in the study: three of them had local early-stage larynx cancer (T2N0, T1aN0, and T2N0) and the remaining two patients had early-stage base of tongue cancer (T2N0 and T1N2b). The degree of side effects reported by the patients via Kaiku® ranged from mild to life threatening. The number of outcome data points on patients' progress was significantly increased, which resulted in a better follow-up and improved communication between the patient and the care team. Conclusions Kaiku® seems to be a suitable tool to monitor side effects and quality of life during and after radiotherapy among HNC patients. Kaiku® and similar tools could be useful in organizing a cost-effective follow-up process for HNC patients. We recommend conducting a larger study to further assess the impact of an ePRO solution in routine clinical practice. • ePRO solutions may aid in the follow-up for cancer patients. • They seem suitable to monitor, for example, side effects and quality of life. • These systems ensure fast patient-driven reporting.


2021 ◽  
Author(s):  
Andreas Knapp ◽  
Lorenz Harst ◽  
Stefan Hager ◽  
Jochen Schmitt ◽  
Madlen Scheibe

BACKGROUND With the rise of digital health technologies and telemedicine services, the need for evidence-based evaluation is growing. Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are recommended as an essential part of comprehensive and multidisciplinary evaluation studies on telemedicine applications. For the first time, a systematic review has been conducted investigating the use of PROMs and PREMs in evaluation studies of telemedicine applications covering all application types and medical purposes. OBJECTIVE Our review investigates the following research questions: • In which scenarios were PROMs and PREMs collected for evaluation purposes? • Which PROM/PREM outcome domains have been covered and how often? • Which outcome measurement instruments (OMIs) have been used and how often? • Did the selection and quantity of PROMs and PREMs differ between study types and application types? • Has the use of PROMs and PREMs in evaluation studies changed over time? METHODS We conducted a systematic literature search in the MEDLINE and EMBASE databases and included studies published from inception until April 2, 2020. We included studies evaluating telemedicine applications with patients as main users; these studies reported PROMs and PREMs within randomized controlled trials (RCT), controlled trials, non-controlled trials and feasibility trials in English and German. RESULTS Out of 2671 records identified, 303 studies were included with 22.1% (67/303) feasibility studies, 23.1% (70/303) non-controlled trials, 6.6% (20/303) controlled trials and 48.2% (146/303) RCTs. Health-related quality of life (n=307, mean=1.0, SD=1.04), emotional function (n=244, mean=0.81, SD=1.18) and adherence (n=103, mean=0.34, SD=0.53) were the most frequently assessed outcome domains. 21.4% (65/303) of all studies used self-developed PROMs and 22.3% (68/303) self-developed PREMs. PROMs (n=884) were assessed more frequently than PREMs (n=234). As the evidence level of the studies increased, the number of PROMs also increased (τ=-0.45) with the number of PREMs decreasing (τ=0.35) at the same time. Since 2000, not only has the number of evaluation studies using PROMs/PREMs increased – the level of evidence and the number of OMIs used have also increased, with the number of PREMs permanently remaining at a lower level compared to the number of PROMs. CONCLUSIONS There have been increasingly more studies, particularly high-evidence studies, which use PROMs and PREMs to evaluate telemedicine applications. PROMs have been used more frequently than PREMs. With an increasing maturity stage of the telemedicine applications and higher evidence level, the use of PROMs increased in line with the recommendations of evaluation guidelines. Health-related quality of life (HRQoL) and emotional function were measured in almost all studies whereas health literacy as a critical precondition for using the application properly to gain health benefits was rarely reported. Therefore, further efforts should be pursued for the standardization of PROM and PREM collection in evaluation studies of telemedicine applications.


Author(s):  
Charlotte T. J. Michels ◽  
Carl J. Wijburg ◽  
Inger L. Abma ◽  
J. Alfred Witjes ◽  
Janneke P. C. Grutters ◽  
...  

Abstract Background The Bladder Cancer Index (BCI) and Functional Assessment of Cancer Therapy-Bladder-Cystectomy (FACT-Bl-Cys) were developed to measure disease-specific health-related quality of life (HRQOL) in bladder cancer patients and patients treated with radical cystectomy, respectively. Both patient-reported outcome measures (PROMs) are frequently used in clinical practice, but are not yet validated according to the COSMIN criteria and not yet available in Dutch. Therefore, the aim of this study was to translate the BCI and FACT-Bl-Cys into Dutch and to evaluate their measurement properties according to the COSMIN criteria. Methods The BCI and FACT-Bl-Cys were translated into Dutch using a forward-backward method, and subsequently administered at baseline (pre-operatively) and 3 months post-operatively in bladder cancer patients who received a radical cystectomy. Validity (content and construct), reliability (internal consistency, test-retest reliability, and measurement error), floor and ceiling effects, and responsiveness were assessed according to the COSMIN criteria. Results Forward-backward translation encountered no particular linguistic problems. In total 260 patients completed the baseline measurement, while 182 patients completed the three-month measurement. Only a ceiling effect was identified for the BCI. Hypotheses testing for construct validity was satisfying, as 67% and 92% of the hypothesized correlations were confirmed. Structural validity was moderate for both measures, as confirmatory factor analyses showed limited fit. Reliability of both PROMs was good. The intraclass correlation coefficient (ICC) of the BCI domains ranged from 0.47 to 0.93, minimal value of Cronbach’s α was 0.70, smallest detectable change on group level (SDC group) ranged from 1.9 to 8.6. The ICC of the FACT-Bl-Cys domains ranged from 0.43 to 0.83, minimal value of Cronbach’s α was 0.77, SDC group was around 1. Only the FACT-Bl-Cys total score was found to be responsive to changes in generic quality of life. Conclusions The Dutch versions of the BCI and FACT-Bl-Cys were shown to be reliable and have good content validity. Structural validity was limited for both measures. Only the FACT-Bl-Cys total score was responsive to changes in generic HRQOL. Despite some limitations, both PROMs seem suitable for use in clinical practice and research.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13590-e13590
Author(s):  
Thiago William Carnier Jorge ◽  
César Filho ◽  
Melina Campagnaro ◽  
Lorenzo Cartolano ◽  
Jean Singh ◽  
...  

e13590 Background: Routine monitoring of cancer patients' symptoms during their journey can improve symptom management, quality of life, and survival. Wecancer App is an electronic patient-reported outcome tool, which also provides on-demand multidisciplinary digital support by nurses, psychologists and nutritionists. It also encompasses real time remote patient monitoring, symptoms diary to patient and medical staff, symptom monitoring, medication control and a content hub with reliable information. It is free to any patient who download the app. In this study, we aim to understand if insurance provider type (private, public or out of pocket) impact on app adherence. Methods: This study examined daily symptom reporting (with electronic patient-reported outcomes [e-PROs]) patterns in breast cancer patients, according to insurance provider. The following were observed: app adherence, numbers of reports, chat interactions, specific symptoms, symptoms alerts and wellness reports. Patients could report sixteen common symptoms through a mobile application, on their smartphones and tablets, for monitoring, symptom management and follow-up with a specialized nurse, determining care based on digital support clinical protocols through online chat. The nursing team action started at the moment of patient inclusion with the tutorial to download the App and training it with the patient/caregiver. The alerts made through the chat system guided the clinical actions of the nursing team in relation to online clinical management that can stratify the risk by crossing the intensity of symptoms by the CTCAE grading scale and PRO-CTCAE Measurement System and promote preventive educational conduct of vigilance and risk mitigation. Results: From January 2020 to January 2021, 543 female eligible patients downloaded the app. The e-PRO completion rates were superior to 90% at baseline, and 55.47% completed all on-treatment assessments. The app adherence for private insurance patients (PIP), 37.06% for public insurance patients (PIP) and 7.45% for out of pocket patients (OPP). 2,626 reports were made (46.41% IP; 28.58% OPP; 25% PHP); 1008 chat interactions (52.18% IP; 40.28% PHP; 7.54% OPP); 1144 number of symptoms reported (46,41% IP; 28.58% OPP; 25% PHP); specific symptoms most reported in all kind of service was tiredness, pain, nausea, tingling; 547 symptoms alerts (54.84% IP; 35.46% PHP; 9.7% OPP) and 451 wellness reports (55.43% IP; 35.03% PHP; 9.53% OPP). Conclusions: Private insurance patients are more adherent to ePROS than public insured or out of pocket patients. Lack of free internet access and digital literacy could be impacting on adherence and, ultimately, quality of life and survival. Further studies are warranted to understand how to improve equality for digital health tools.


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