Usage Patterns of a Web-Based Palliative Care Content Platform (PalliCOVID) During the COVID-19 Pandemic.


Journal

Journal of pain and symptom management
ISSN: 1873-6513
Titre abrégé: J Pain Symptom Manage
Pays: United States
ID NLM: 8605836

Informations de publication

Date de publication:
10 2020
Historique:
received: 24 05 2020
revised: 14 07 2020
accepted: 21 07 2020
pubmed: 31 7 2020
medline: 3 10 2020
entrez: 31 7 2020
Statut: ppublish

Résumé

The COVID-19 pandemic has highlighted the essential role of palliative care to support the delivery of compassionate, goal-concordant patient care. We created the Web-based application, PalliCOVID (https://pallicovid.app/), in April 2020 to provide all clinicians with convenient access to palliative care resources and support. PalliCOVID features evidence-based clinical guidelines, educational content, and institutional protocols related to palliative care for COVID-19 patients. It is a publicly available resource accessible from any mobile device or desktop computer that provides clinicians with access to palliative care guidance across a variety of care settings, including the emergency department, hospital ward, intensive care unit, and primary care practice. The primary objective of this study was to evaluate usage patterns of PalliCOVID to understand user behavior in relation to this palliative care content platform during the period of the local peak of COVID-19 infection in Massachusetts. We retrospectively analyzed deidentified usage data collected by Google Analytics from the first day of PalliCOVID's launch on April 7, 2020, until May 1, 2020, the time period that encompassed the local peak of the COVID-19 surge in Massachusetts. User access data were collected and summarized by using Google Analytics software that had been integrated into the PalliCOVID Web application. A total of 2042 users accessed PalliCOVID and viewed 4637 pages from April 7 to May 1, 2020. Users spent an average of 2 minutes and 6 seconds per session. Eighty-one percent of users were first-time visitors, while the remaining 19% were return visitors. Most users accessed PalliCOVID from the United States (87%), with a large proportion of users coming from Boston and the surrounding cities (32% of overall users). PalliCOVID is one example of a scalable digital health solution that can bring palliative care resources to frontline clinicians. Analysis of PalliCOVID usage patterns has the potential to inform the improvement of the platform to better meet the needs of its user base and guide future dissemination strategies. The quantitative data presented here, although informative about user behavior, should be supplemented with future qualitative research to further define the impact of this tool and extend our ability to deliver clinical care that is compassionate, rational, and well-aligned with patients' values and goals.

Identifiants

pubmed: 32730951
pii: S0885-3924(20)30627-8
doi: 10.1016/j.jpainsymman.2020.07.016
pmc: PMC7383177
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20-e27

Informations de copyright

Copyright © 2020 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Références

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Auteurs

Lucinda Lai (L)

Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Affiliated Emergency Medicine Residency Program, Boston, Massachusetts, USA. Electronic address: LUCINDA.LAI@mgh.harvard.edu.

Rintaro Sato (R)

Brigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Shuhan He (S)

Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Center for Innovation in Digital HealthCare, Massachusetts General Hospital, Boston, Massachusetts, USA.

Kei Ouchi (K)

Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Richard Leiter (R)

Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.

Jane deLima Thomas (J)

Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.

Andrew Lawton (A)

Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.

Adam B Landman (AB)

Brigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Haipeng Mark Zhang (H)

Brigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

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