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Carevive’s Presence at ASCO Quality – Remote Symptom Monitoring Abstracts

By September 30, 2022No Comments
Chicago downtown view.

Collaborative Studies Conducted by our Research Partners at the University of Alabama at Birmingham (UAB)

We’re excited to be at the ASCO Quality Care Symposium with our partners sharing the impact of remote symptom monitoring. Together, we’re improving outcomes and care for cancer patients.

University of Alabama at Birmingham | Carevive Systems treatment plans

Identification of Target Population in the Implementation of Navigator-delivered Home ePRO for Cancer Patients Receiving Treatment

Abstract: 351 | Poster Board #: D24, Session B

Presenter: Jayasree Krishnan, MD
Background: One key challenge of practice transformation activities, such as remote symptom monitoring (RSM) using electronic patient reported outcomes (ePROs), is identification of patients starting treatment. In real-world settings, reliance on referrals is likely to miss patients. We describe the difficulties encountered in patient identification and the subsequent changes implemented in protocol to remediate this.

Trajectory of symptoms reported in remote symptom monitoring over the course of oncology treatment for gynecologic cancers

Abstract: 270 | Poster Board #: G9, Session A

Presenter: Chelsea McGowen, MPH
Background: Patients now have the ability to utilize electronic patient reported outcomes (ePROs) for remote symptom monitoring (RSM). This analysis seeks to better under- stand trajectory of reported symptoms during treatment for patients with gynecologic cancer participating in RSM.

Evaluating nurses’ time to response by severity and cancer stage in a remote symptom monitoring program

Abstract: 341 | Poster Board #: D14, Session B

Presenter: Jeffrey Franks, MSPH
Background: Remote symptom monitoring (RSM) using electronic patient reported out- comes (ePROs) allow for patients with cancer to communicate symptoms to their clini- cal team between clinic visits. Prior randomized control trials of RSM focused on advanced cancer, and less data are available for patient with early stage cancers. The University of Alabama at Birmingham (UAB) implemented RSM for early stage (I-III) and advanced stage (IV) patients on active treatment. This study evaluates nurses’ real- world response time to alerts by varying severity and by patients cancer stages.

Sociodemographic difference in patients who enroll and decline remote symptom monitoring

Abstract: 268 | Poster Board #: G7, Session A

Presenter: Keyonsis Hildreth, BS
Background: Remote symptom monitoring (RSM) using patient-reported outcomes has been shown to reduce symptom burden and hospitalizations in clinical trials. However, little is known about how willing patients are to participate in remote symptom monitoring in real-world settings, particularly for vulnerable patient populations. This study aims to compare characteristics of cancer patients enrolled vs. patients who declined enrollment into RSM.

Adaptation of remote symptom monitoring using electronic patient-reported outcomes for implementation in real-world settings

Abstract: 272 | Poster Board #: G11, Session A

Presenter: D’Ambra Dent, MBA
Background: Despite evidence of clinical benefits, widespread implementation of remote symptom monitoring has been limited. We describe a process of adapting a remote symptom monitoring intervention developed in a research setting to a real-world clinical setting at two cancer centers.

Nursing strategies to improve alert closure for remote symptom monitoring

Abstract: 421 | Poster Board #: F24, Session B

Presenter: Megan Patterson, RN
Background: For successful remote symptom monitoring using patient-reported outcomes, nurses should respond to alerts in a timely fashion. Where clinical trials utilized research staff for alert management, the shift to standard-of-care delivery necessitates that this responsibility be added as a task to an already strained nursing workforce. Little is known about strategies to engage nurses to improve timeliness of alert management.