A Pilot Prospective Clinical Trial Using Remote Monitoring for Cancer Patients Undergoing Outpatient Chemotherapy
1 other identifier
observational
100
1 country
1
Brief Summary
A pilot study using remote monitoring technology developed by Locus Health in cancer patients undergoing chemotherapy treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Oct 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 24, 2023
CompletedStudy Start
First participant enrolled
October 26, 2023
CompletedFirst Posted
Study publicly available on registry
October 30, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 26, 2026
ExpectedDecember 8, 2025
December 1, 2025
2 years
October 24, 2023
December 4, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The Use of Locus Heath iPhone App and the Apple Watch by Participants Undergoing Outpatient Chemotherapy.
The feasibility is determined when 80% of the patients wear the watch at least 70% of the time during waking hours.
120 days or until the chemotherapy regimen has stopped, whichever is sooner
Study Arms (1)
3 Cohorts
Cohort 1: Daily from day 2 through the end of treatment cycle (n=34) Cohort 2: Daily days 2-9 then every third day through end of cycle (n=33) Cohort 3: Daily days 2-9 for all symptoms, every third day thereafter regarding 'pain' only through end of cycle (n=33)
Interventions
In this pilot study patients are enrolled into three (3) different groups which will vary by the frequency of the queries being sent to the patients during their chemotherapy cycle. The patients will be separated into three groups of 33-34 patients each. Each group will have a different frequency of symptom questions sent to them via the Locus Health iPhone App to determine patient fatigue and the compliance impact of different query cadences. Patients will be assigned to these 3 groups sequentially since the platform could not assign patients to these three cohorts in a random manner.
Eligibility Criteria
Patients with a wide range of solid tumor and malignant hematology malignancies will be enrolled
You may qualify if:
- Planned to be treated with a new cytotoxic chemotherapy or chemoimmunotherapy regimen for a solid tumor or malignant hematology condition for at least 4 months
- ECOG performance status of 0-2
- Age of 18 or older patient with any solid tumor or hematologic malignancy
- English or Spanish speaker
- Own an Apple iPhone
- Capacity and willingness to provide informed consent
You may not qualify if:
- Patients undergoing concurrent radiation since they will be seen on a daily basis by clinic care teams and are not likely to benefit from active remote patient monitoring
- Patients unwilling or unable to comply with the protocol, including wearing the Apple Watch (including recharging daily) and answering queries on the Locus Health iPhone application per the protocol and study group cadence
- Any condition for which in the Investigator's opinion would limit compliance with study requirements
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Inova Schar Cancer Institute
Fairfax, Virginia, 22031, United States
Related Publications (4)
Heinz WJ, Buchheidt D, Christopeit M, von Lilienfeld-Toal M, Cornely OA, Einsele H, Karthaus M, Link H, Mahlberg R, Neumann S, Ostermann H, Penack O, Ruhnke M, Sandherr M, Schiel X, Vehreschild JJ, Weissinger F, Maschmeyer G. Diagnosis and empirical treatment of fever of unknown origin (FUO) in adult neutropenic patients: guidelines of the Infectious Diseases Working Party (AGIHO) of the German Society of Hematology and Medical Oncology (DGHO). Ann Hematol. 2017 Nov;96(11):1775-1792. doi: 10.1007/s00277-017-3098-3. Epub 2017 Aug 30.
PMID: 28856437RESULTKuderer NM, Dale DC, Crawford J, Cosler LE, Lyman GH. Mortality, morbidity, and cost associated with febrile neutropenia in adult cancer patients. Cancer. 2006 May 15;106(10):2258-66. doi: 10.1002/cncr.21847.
PMID: 16575919RESULTZimmer AJ, Freifeld AG. Optimal Management of Neutropenic Fever in Patients With Cancer. J Oncol Pract. 2019 Jan;15(1):19-24. doi: 10.1200/JOP.18.00269.
PMID: 30629902RESULTVerma N, Haji-Abolhassani I, Ganesh S, Vera-Aguilera J, Paludo J, Heitz R, Markovic SN, Kulig K, Ghoreyshi A. A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection. IEEE J Transl Eng Health Med. 2021 Jul 19;9:2700407. doi: 10.1109/JTEHM.2021.3098127. eCollection 2021.
PMID: 34765323RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John Deeken, MD
Inova Schar Cancer Institute
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 120 Days
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 24, 2023
First Posted
October 30, 2023
Study Start
October 26, 2023
Primary Completion
November 1, 2025
Study Completion (Estimated)
June 26, 2026
Last Updated
December 8, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- CSR
- Time Frame
- The Apple/Locus Health RPM intervention will end and the patient will come off study when the chemotherapy regimen is stopped for any reason.
- Access Criteria
- All patient records and end-of study questionnaires will be de-identified using a letter and number assigned to their case at the time of enrollment on study. No record used for the data analysis will contain information which could identify the patient. Only the delegated research team will have access to the 'key' which connects patient identifiable information with this assigned number For computer records, the key will be protected by a double-password protection system. Any paper records will be contained in a locked cabinet within a locked office to ensure patients' privacy is protected.
* Age, gender, race/ethnicity * Active Problem List * Past Medical History * Past Surgical History * Social History * Vital Measurements from each clinic visit * Lab Results * Medication Orders If the patient is seen in the Emergency Room or hospitalized, the following data will be extracted: * ER/Hospital Based Problem List * ER/ Hospital reason for presentation/Admission * Hospital Admission Diagnoses