Evidence map›Paper›PMID 32730951›Full record

ArticleJournal of pain and symptom management2020

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

Lucinda Lai, Rintaro Sato, Shuhan He, Kei Ouchi, Richard Leiter, Jane deLima Thomas, Andrew Lawton, Adam B Landman, Haipeng Mark Zhang

Abstract read
In one paragraph

Article in Journal of pain and symptom management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mapping the future for research in emergency medicine palliative care: A research roadmap.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Predictors of Palliative Care Knowledge: Findings from the Health Information National Trends Survey.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lucinda LaiDepartment 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 SatoBrigham Digital Innovation Hub, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Shuhan HeDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Center for Innovation in Digital HealthCare, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kei OuchiDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Richard LeiterDepartment 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 ThomasDepartment 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 LawtonDepartment 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 LandmanBrigham 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 ZhangBrigham 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe 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.

objectiveThe 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.

methodsWe 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.

resultsA 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).

conclusionsPalliCOVID 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.

Indexed as

BetacoronavirusInformation DisseminationInternetPalliative CareTelemedicineCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2coronavirusCOVID-19 pandemicdigital healthGoogle Analyticsmobile healthpalliative careprogressive web application

Identifiers

PMID32730951
PMCPMC7383177

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.