Evidence map›Paper›PMID 38302813›Full record

ArticleJournal of general internal medicine2024

Evaluating the Quality of Virtual Urgent Care: Barriers, Motivations, and Implementation of Quality Measures.

David C Whitehead, Kathleen Y Li, Emily Hayden, Todd Jaffe, Alessandra Karam, Kori S Zachrison

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

David C WhiteheadDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA. dwhitehead.med@gmail.com.ORCID 0000-0002-3132-5292
Kathleen Y LiUniversity of Washington, Seattle, WA, USA.
Emily HaydenDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.
Todd JaffeUniversity of Pennsylvania, Philadelphia, PA, USA.
Alessandra KaramCentral Michigan University College of Medicine, Mount Pleasant, MI, USA.
Kori S ZachrisonDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.

Funding

Addressing Racial/Ethnic Disparities in Stroke Care Access Using Hospital Transfer NetworksR01AG079887 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Korilyn Sauser Zachrison · 2023 to 2026
$2.9M
NIA NIH HHS R01 AG079887
6 · The paper itself

Abstract

backgroundExperts estimate virtual urgent care programs could replace approximately 20% of current emergency department visits. In the absence of widespread quality guidance to programs or quality reporting from these programs, little is known about the state of virtual urgent care quality monitoring initiatives.

objectiveWe sought to characterize ongoing quality monitoring initiatives among virtual urgent care programs. APPROACH: Semi-structured interviews of virtual health and health system leaders were conducted using a pilot-tested interview guide to assess quality metrics captured related to care effectiveness and equity as well as programs' motivations for and barriers to quality measurement. We classified quality metrics according to the National Quality Forum Telehealth Measurement Framework. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement. KEY

resultsWe contacted 13 individuals, and ultimately interviewed eight (response rate, 61.5%), representing eight unique virtual urgent care programs at primarily academic (6/8) and urban institutions (5/8). Most programs used quality metrics related to clinical and operational effectiveness (7/8). Only one program reported measuring a metric related to equity. Limited resources were most commonly cited by participants (6/8) as a barrier to quality monitoring.

conclusionsWe identified variation in quality measurement use and content by virtual urgent care programs. With the rapid growth in this approach to care delivery, more work is needed to identify optimal quality metrics. A standardized approach to quality measurement will be key to identifying variation in care and help focus quality improvement by virtual urgent care programs.

Indexed as

TelemedicineAmbulatory CareHumansMotivationQuality Indicators, Health CareQuality of Health Carequality improvementtelehealthtelemedicinevirtual urgent care

Identifiers

PMID38302813
PMCPMC11043309

What OpenQuestion holds

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Registered trials

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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.