Evidence map›Paper›PMID 35720754›Full record

ArticleTelemedicine reports2021

Medical Student Patient Outreach to Ensure Continuity of Care During the COVID-19 Pandemic.

Annika Belzer, Erin M Yeagle, Lucille K Kohlenberg, Muriel Solberg, Emily Gudbranson, Mariana Budge, Hannah M Batchelor, Sarah E Fitzpatrick, Anna Zhao, V Diego Armengol and 6 more

Abstract read
In one paragraph

Article in Telemedicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

16 authors.

Annika BelzerYale School of Medicine, New Haven, Connecticut, USA.
Erin M YeagleYale School of Medicine, New Haven, Connecticut, USA.
Lucille K KohlenbergYale School of Medicine, New Haven, Connecticut, USA.
Muriel SolbergYale School of Medicine, New Haven, Connecticut, USA.
Emily GudbransonYale School of Medicine, New Haven, Connecticut, USA.
Mariana BudgeYale School of Medicine, New Haven, Connecticut, USA.
Hannah M BatchelorYale School of Medicine, New Haven, Connecticut, USA.
Sarah E FitzpatrickYale School of Medicine, New Haven, Connecticut, USA.
Anna ZhaoYale School of Medicine, New Haven, Connecticut, USA.
V Diego ArmengolYale School of Medicine, New Haven, Connecticut, USA.
Samer F HassanYale School of Medicine, New Haven, Connecticut, USA.
May ShumYale School of Medicine, New Haven, Connecticut, USA.
Margaret BiaDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Frank BiaMedical Scientist Training Program (MD-PhD), Yale School of Medicine, New Haven, Connecticut, USA.
Nihar R DesaiDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Peter A KahnDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In response to the COVID-19 pandemic, the Yale New Haven Health System began rescheduling nonurgent outpatient appointments as virtual visits in March 2020. While Yale New Haven Health expanded its telemedicine infrastructure to accommodate this shift, many appointments were delayed and patients faced considerable uncertainty. Objective: Medical students created the Medical Student Task Force (MSTF) to help ensure continuity of care by calling patients whose appointments were delayed during this transition to telemedicine. Methods: Eighty-five student volunteers called 3765 internal medicine patients with canceled appointments, completing screening for 2197 patients. Volunteers screened for health care needs, assessed preferences for future appointments, and offered emotional support and information about COVID-19. Urgent or emergent patient concerns were triaged and escalated to providers. In this analysis, we used a mixed-methods approach: call information and provider responses were analyzed quantitatively, and patient feedback was analyzed qualitatively via thematic analysis. Results: Ninety-one percent of patients screened found the MSTF calls helpful. Twenty-one percent of patients reported health concerns, with 1% reporting urgent concerns escalated to and addressed by providers. Themes of patient comments included gratitude for outreach and social contact, utility of calls, and well-wishes for health care workers. Conclusions: By calling patients whose appointments had been canceled during a rapid transition to telemedicine, the MSTF helped bridge a potential gap in care by offering patients communication with their care teams, information, and support. We propose that this model could be used in other care systems urgently transitioning to outpatient telemedicine, whether during ongoing outbreaks of COVID-19 or other public health emergencies.

Indexed as

COVID-19medical educationpandemictelemedicinevolunteer

Identifiers

PMID35720754
PMCPMC9049823

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.