2018
DOI: 10.2196/medinform.9525
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Development of an eHealth System to Capture and Analyze Patient Sensor and Self-Report Data: Mixed-Methods Assessment of Potential Applications to Improve Cancer Care Delivery

Abstract: BackgroundCapturing and Analyzing Sensor and Self-Report Data for Clinicians and Researchers (COMPASS) is an electronic health (eHealth) platform designed to improve cancer care delivery through passive monitoring of patients’ health status and delivering customizable reports to clinicians. Based on data from sensors and context-driven administration of patient-reported outcome (PRO) measures, key indices of patients’ functional status can be collected between regular clinic visits, supporting clinicians in th… Show more

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Cited by 13 publications
(12 citation statements)
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References 35 publications
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“… 65 nurses; 12 physicians N/A - High usefulness by nurses and physicians; higher use among nurses Ruland [ 39 ] RCT (availability of PRO data vs No PRO data before consultation) 145 Patients starting antileukemia or -lymphoma treatment - PRO data availability before visits led to 1) addressing more symptoms during consultation; 2) significant decrease of symptom distress; 3) significant reduction in need for symptom management support Ruland [ 40 ] COMPASS (Capturing and Analyzing Sensor and Self-Report Data for Clinicians and Researchers) Yes Smartphone-based app and wearable heart rate monitor device-agnostic eHealth technology platform that can passively and remotely monitor multiple domains of function and PROs Passive monitoring of patients’ health status No Only customizable reports to clinicians Feasib. 3 patients; 10 HCPs Cancer patients and HCPs - Feasible; reassuring; highest interest in symptom monitoring - Feasible; highest interest in monitoring of vital signs and medication adherence Lucas [ 41 ] eCO (eCediranib/Olaparib) Yes Smartphone-based app. Blood pressure monitor linked to the app via Bluetooth and diarrhea symptom management Yes b Smartphone app and phone-based Pilot 16 Patients with recurrent ovarian cancer enrolled in a phase II study of cediranib/olaparib (NCT 02345265) - Feasible.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… 65 nurses; 12 physicians N/A - High usefulness by nurses and physicians; higher use among nurses Ruland [ 39 ] RCT (availability of PRO data vs No PRO data before consultation) 145 Patients starting antileukemia or -lymphoma treatment - PRO data availability before visits led to 1) addressing more symptoms during consultation; 2) significant decrease of symptom distress; 3) significant reduction in need for symptom management support Ruland [ 40 ] COMPASS (Capturing and Analyzing Sensor and Self-Report Data for Clinicians and Researchers) Yes Smartphone-based app and wearable heart rate monitor device-agnostic eHealth technology platform that can passively and remotely monitor multiple domains of function and PROs Passive monitoring of patients’ health status No Only customizable reports to clinicians Feasib. 3 patients; 10 HCPs Cancer patients and HCPs - Feasible; reassuring; highest interest in symptom monitoring - Feasible; highest interest in monitoring of vital signs and medication adherence Lucas [ 41 ] eCO (eCediranib/Olaparib) Yes Smartphone-based app. Blood pressure monitor linked to the app via Bluetooth and diarrhea symptom management Yes b Smartphone app and phone-based Pilot 16 Patients with recurrent ovarian cancer enrolled in a phase II study of cediranib/olaparib (NCT 02345265) - Feasible.…”
Section: Resultsmentioning
confidence: 99%
“…From the patient perspective, some of the key factors identified for the uptake of the digital tools included the following: Ease of use [ 30 , 38 , 44 , 51 , 53 , 55 , 64 , 80 ]; Reassurance [ 28 , 30 , 41 , 48 , 49 , 55 , 59 , 70 ]; High usability and usefulness [ 37 , 42 , 44 , 58 , 62 , 74 ]; Improved communication with HCPs [ 27 , 29 , 30 , 53 , 58 ] www.owise.uk ; Correct generation of system alerts and fast response to alerts [ 28 , 70 , 80 ]; Patient empowerment [ 29 , 30 , 69 ]; and The convenience of real-time reporting of symptoms [ 28 , 37 ]; …”
Section: Resultsmentioning
confidence: 99%
“…Each patient was individually administered the Mini-International Neuropsychiatric Interview (MINI6.0) [32] and the DCPR interview [33], which both took about two hours. Before the diagnostic interviews, the patients filled in four self-report instruments: DS-IT [27], Post-Traumatic Growth Inventory (PTGI) [34,35], Edmonton Symptom Assessment System (ESAS-Revised) [8,[36][37][38], and Canadian Problem Checklist (CPC) [39,40] (Table 1). In agreement with other screening programs [39], we administered together the ESAS and the Canadian Problem Checklist (CPC) within the COMPASS tool (Comprehensive Problem and Symptom Screening) [40].…”
Section: Methodsmentioning
confidence: 99%
“…Canadian Problem Checklist (CPC) [39,40] It consists of a list of 21 problems each rated in a yes/no (0-1) format and grouped into 6 categories: practical, social/family, emotional, spiritual, informational, and physical problems.…”
Section: Self-report Instrumentsmentioning
confidence: 99%
“…К многомерным аналитическим сигналам относятся отклики мультисенсорных систем типа искусственных "носа, глаза, языка". Для таких систем не характерны, но возможны традиционные качественный (идентификация отдельных компонентов сложных смесей) и количественный (определение содержания каждого компонента) анализ [1][2][3][4][5]. Для сравнения двух и более проб, для установления причин возможных различий их состояния применяют метод хемометрикиметод обработки сразу всех матриц выходных данных.…”
Section: Introductionunclassified