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Observational Study
. 2021 Sep;17(9):e1293-e1302.
doi: 10.1200/OP.21.00307. Epub 2021 Jun 4.

Association of a Remote Patient Monitoring (RPM) Program With Reduced Hospitalizations in Cancer Patients With COVID-19

Affiliations
Observational Study

Association of a Remote Patient Monitoring (RPM) Program With Reduced Hospitalizations in Cancer Patients With COVID-19

Joshua C Pritchett et al. JCO Oncol Pract. 2021 Sep.

Abstract

Purpose: The goal of this study was to assess the impact of an interdisciplinary remote patient monitoring (RPM) program on clinical outcomes and acute care utilization in cancer patients with COVID-19.

Methods: This is a cross-sectional analysis following a prospective observational study performed at Mayo Clinic Cancer Center. Adult patients receiving cancer-directed therapy or in recent remission on active surveillance with polymerase chain reaction-confirmed SARS-CoV-2 infection between March 18 and July 31, 2020, were included. RPM was composed of in-home technology to assess symptoms and physiologic data with centralized nursing and physician oversight.

Results: During the study timeframe, 224 patients with cancer were diagnosed with COVID-19. Of the 187 patients (83%) initially managed in the outpatient setting, those who did not receive RPM were significantly more likely to experience hospitalization than those receiving RPM. Following balancing of patient characteristics by inverse propensity score weighting, rates of hospitalization for RPM and non-RPM patients were 2.8% and 13%, respectively, implying that the use of RPM was associated with a 78% relative risk reduction in hospital admission rate (95% CI, 54 to 102; P = .002). Furthermore, when hospitalized, these patients experienced a shorter length of stay and fewer prolonged hospitalizations, intensive care unit admissions, and deaths, although these trends did not reach statistical significance.

Conclusion: The use of RPM and a centralized virtual care team was associated with a reduction in hospital admission rate and lower overall acute care resource utilization among cancer patients with COVID-19.

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Conflict of interest statement

Joshua C. PritchettPatents, Royalties, Other Intellectual Property: Novel discovery with intellectual property interests in ongoing development with Mayo Clinic Ventures, patent pending, US Patent Application No. 63/109625Uncompensated Relationships: Biofourmis Konstantinos LeventakosConsulting or Advisory Role: AstraZeneca, Boehringer Ingelheim, Targeted Oncology, OncLive, TakedaResearch Funding: AstraZeneca, Mirati Therapeutics Robert OrensteinSpeakers' Bureau: FerringResearch Funding: ReBiotix, Astellas Scientific and Medical Affairs Inc, Finch Therapeutics, Humanigen, Vedanta Ravindra GaneshStock and Other Ownership Interests: PfizerResearch Funding: InteraXon, Pear Therapeutics Jonas PaludoResearch Funding: VerilyOther Relationship: Jazz Pharmaceuticals Thorvardur R. HalfdanarsonConsulting or Advisory Role: Lexicon, Ipsen, Advanced Accelerator Applications, Curium Pharma, ScioScientific, TerumoResearch Funding: Ipsen, Agios, Thermo Fisher Scientific, Basilea, Turnstone Bio, Advanced Accelerator Applications, Novartis Tufia C. HaddadResearch Funding: TakedaNo other potential conflicts of interest were reported.

Figures

FIG 1.
FIG 1.
Initial management and disposition of cancer patients diagnosed with COVID-19 at Mayo Clinic. RPM = enrollment in the Mayo Clinic COVID-19 RPM program with centralized virtual care team support, as detailed in Methods. RPM, remote patient monitoring.
FIG 2.
FIG 2.
IPW (balance checking through standardized difference). Points within the dashed vertical lines indicate balance in the corresponding covariate. BMI, body mass index; CAD, coronary artery disease; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; IPW, inverse propensity score weighting; RPM, remote patient monitoring.

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