Evidence map›Paper›PMID 35977211›Full record

ArticleJAMA health forum2021

Changes in Short-term, Long-term, and Preventive Care Delivery in US Office-Based and Telemedicine Visits During the COVID-19 Pandemic.

Cecilia Cortez, Omar Mansour, Dima M Qato, Randall S Stafford, G Caleb Alexander

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  5. The impact of COVID-19 on psychiatric clinical encounters among low-income racially-diverse children.Journal of child psychology and psychiatry, and allied disciplines · 2024
    Article
  6. Automating the analysis of facial emotion expression dynamics: A computational framework and application in psychotic disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  19. COVID-19 pandemic and hypertension: an updated report from the Japanese Society of Hypertension project team on COVID-19.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  20. 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

5 authors at 4 institutions in 1 country.

Cecilia CortezJohns Hopkins University, Baltimore, Maryland.
Omar MansourMonument Analytics, Baltimore, Maryland.
Dima M QatoTitus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles.
Randall S StaffordStanford Prevention Research Center, Stanford University School of Medicine, Stanford, California.
G Caleb AlexanderCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USPostnova Analytics (United States) · USStanford University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: While the COVID-19 pandemic has been associated with some substitution of telemedicine for office-based care in the US, to our knowledge, little is known regarding the pandemic's association with the clinical content of ambulatory care. Objective: To characterize changes in the clinical content of ambulatory care among office-based vs telemedicine encounters in the US before vs during the COVID-19 pandemic. Design Settings and Participants: This analysis of serial cross-sectional data from the IQVIA National Disease and Therapeutic Index was a 2-stage, stratified nationally representative audit of outpatient care in the US from January 1, 2018, through December 31, 2020. The National Disease and Therapeutic Index generates approximately 33 617 quarterly visits that are projected to 306.7 million national visits based on the survey design. Main Outcomes and Measures: (1) Prevalence of common diagnoses and (2) mix of long-term, short-term, and preventive care. Results: The mean (SD) number of projected quarterly, in-person, office-based visits was 282.1 (1.4) million in 2018 and 284.7 (10.3) in 2019 before declining to 250.8 million in quarter 1 of 2020 and 147.8 million in quarter 2 of 2020 and then increasing moderately to 181.5 million in quarter 3 of 2020 and 180.2 million in quarter 4 of 2020. The mean (SD) number of telemedicine visits was 2.8 (0.4) million in 2018 and 3.0 (0.1) million in 2019 before increasing to 8.6 million in quarter 1 of 2020 and 72.2 million in quarter 2 of 2020 and then declining notably to 43.8 million in quarter 3 of 2020 and 44.2 million in quarter 4 of 2020. Office-based care during the second through fourth quarters of 2020 involved 58.0% long-term, 23.0% short-term, and 25.6% preventive care. In contrast to office-based care, 4 of the top 10 diagnoses that were treated by telemedicine during 2020 were for psychiatric or behavioral conditions: depression, attention deficit/hyperactivity, anxiety, and bipolar disorders. Throughout this period, approximately half of office-based visits and nearly two-thirds of telemedicine visits were for established rather than new patients. Conclusions and Relevance: This cross-sectional study's findings suggest that while telemedicine rapidly increased early during course of the COVID-19 pandemic, its use declined modestly since then. In contrast to office-based care, telemedicine was more commonly used for established patients and substantially greater delivery of psychiatric or behavioral treatments rather than preventive care.

Indexed as

COVID-19TelemedicineCross-Sectional StudiesDelivery of Health CareHumansPandemics

Identifiers

PMID35977211
PMCPMC8796900
OpenAlexW3180774728

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.