Evidence map›Paper›PMID 36630301›Full record

ArticleJournal of medical Internet research2023

Financial and Clinical Impact of Virtual Care During the COVID-19 Pandemic: Difference-in-Differences Analysis.

Robert J Walter, Stephen D Schwab, Matt Wilkes, Daniel Yourk, Nicole Zahradka, Juliana Pugmire, Adam Wolfberg, Amanda Merritt, Joshua Boster, Kevin Loudermilk and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

12 authors at 2 institutions in 2 countries.

Robert J Walter *Brooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0002-0376-2073
Stephen D Schwab *Brooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0001-7268-0568
Matt Wilkes *Current Health Ltd, Edinburgh, United Kingdom.ORCID 0000-0002-9166-7913
Daniel YourkCurrent Health Inc, Boston, MA, United States.ORCID 0000-0002-5160-9516
Nicole ZahradkaCurrent Health Inc, Boston, MA, United States.ORCID 0000-0001-6323-016X
Juliana PugmireCurrent Health Ltd, Edinburgh, United Kingdom.ORCID 0000-0002-0293-3133
Adam WolfbergCurrent Health Inc, Boston, MA, United States.ORCID 0000-0002-5717-8702
Amanda MerrittBrooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0001-8604-014X
Joshua BosterBrooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0002-0823-5811
Kevin LoudermilkBrooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0001-6234-4501
Sean J HippBrooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0001-9672-772X
Michael J MorrisBrooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, TX, United States.ORCID 0000-0003-4903-4343
Brooke Army Medical Center · USScience Navigation Group (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual care (VC) and remote patient monitoring programs were deployed widely during the COVID-19 pandemic. Deployments were heterogeneous and evolved as the pandemic progressed, complicating subsequent attempts to quantify their impact. The unique arrangement of the US Military Health System (MHS) enabled direct comparison between facilities that did and did not implement a standardized VC program. The VC program enrolled patients symptomatic for COVID-19 or at risk for severe disease. Patients' vital signs were continuously monitored at home with a wearable device (Current Health). A central team monitored vital signs and conducted daily or twice-daily reviews (the nurse-to-patient ratio was 1:30).

objectiveOur goal was to describe the operational model of a VC program for COVID-19, evaluate its financial impact, and detail its clinical outcomes.

methodsThis was a retrospective difference-in-differences (DiD) evaluation that compared 8 military treatment facilities (MTFs) with and 39 MTFs without a VC program. Tricare Prime beneficiaries diagnosed with COVID-19 (Medicare Severity Diagnosis Related Group 177 or International Classification of Diseases-10 codes U07.1/07.2) who were eligible for care within the MHS and aged 21 years and or older between December 2020 and December 2021 were included. Primary outcomes were length of stay and associated cost savings; secondary outcomes were escalation to physical care from home, 30-day readmissions after VC discharge, adherence to the wearable, and alarms per patient-day.

resultsA total of 1838 patients with COVID-19 were admitted to an MTF with a VC program of 3988 admitted to the MHS. Of these patients, 237 (13%) were enrolled in the VC program. The DiD analysis indicated that centers with the program had a 12% lower length of stay averaged across all COVID-19 patients, saving US $2047 per patient. The total cost of equipping, establishing, and staffing the VC program was estimated at US $3816 per day. Total net savings were estimated at US $2.3 million in the first year of the program across the MHS. The wearables were activated by 231 patients (97.5%) and were monitored through the Current Health platform for a total of 3474 (median 7.9, range 3.2-16.5) days. Wearable adherence was 85% (IQR 63%-94%). Patients triggered a median of 1.6 (IQR 0.7-5.2) vital sign alarms per patient per day; 203 (85.7%) were monitored at home and then directly discharged from VC; 27 (11.4%) were escalated to a physical hospital bed as part of their initial admission. There were no increases in 30-day readmissions or emergency department visits.

conclusionsMonitored patients were adherent to the wearable device and triggered a manageable number of alarms/day for the monitoring-team-to-patient ratio. Despite only enrolling 13% of COVID-19 patients at centers where it was available, the program offered substantial savings averaged across all patients in those centers without adversely affecting clinical outcomes.

Indexed as

COVID-19AgedHospitalizationHumansMedicarePandemicsRetrospective StudiesUnited Statesclinical outcomecostcost savingsdifference-in-differencesdigital healthdigital health interventioneconomicfinancefinancialmilitarymilitary health systempatient carereadmissionremote careremote patient monitoringsoldiertelehealthtelemedicinevirtual care

Identifiers

PMID36630301
PMCPMC9879318
OpenAlexW4315619548

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.