Evidence map›Paper›PMID 38840112›Full record

ArticleBMC pulmonary medicine2024

Telemedicine and Resource Utilization in Pulmonary Clinic.

Rose M Puthumana, Claire A Grosgogeat, Jenna K Davis, Linda V Bocanegra, Samira Patel, Tanira Ferreira, Dipen J Parekh, Hayley B Gershengorn, Abigail L Koch

Abstract read
In one paragraph

Article in BMC pulmonary 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

9 authors.

Rose M PuthumanaDepartment of Internal Medicine, University of Miami and Jackson Health Systems, 1611 NW 12th Ave, 1569 NW 17th Ave, Apt 1005, Miami, FL, 33136, 33125, United States of America. rxp1022@miami.edu.
Claire A GrosgogeatUniversity of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.
Jenna K DavisUniversity of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.
Linda V BocanegraDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Miami and Jackson Health Systems, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.
Samira PatelUniversity of Miami Hospitals and Clinics, 1400 NW 12th Ave, Miami, FL, 33136, United States of America.
Tanira FerreiraUniversity of Miami Hospitals and Clinics, 1400 NW 12th Ave, Miami, FL, 33136, United States of America.
Dipen J ParekhDepartment of Urology, University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.
Hayley B GershengornDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.
Abigail L KochDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine use increased with the Covid-19 pandemic. The impact of telemedicine on resource use in pulmonary clinics is unknown.

methodsThis retrospective cohort study identified adults with pulmonary clinic visits at the University of Miami Hospital and Clinics (January 2018-December 2021). The primary exposure was telemedicine versus in-person visits. Standard statistics were used to describe the cohort and compare patients stratified by visit type. Multivariable logistic regression models evaluated the association of telemedicine with resource use (primarily, computed tomography [CT] orders placed within 7 days of visit).

results21,744 clinic visits were included: 5,480 (25.2%) telemedicine and 16,264 (74.8%) in-person. In both, the majority were < 65-years-old, female, and identified as Hispanic white. Patients seen with telemedicine had increased odds of having CT scans ordered within 7 days (adjusted odds ratio [aOR] 1.34, [95% confidence interval 1.04-1.74]); and decreased odds of chest x-rays (aOR 0.37 [0.23-0.57]). Telemedicine increased odds of contact of any kind with our healthcare system within 30-days (aOR 1.56 [1.29-1.88]) and 90-days (aOR 1.39 [1.17-1.64]). Specifically, telemedicine visits had decreased odds of emergency department visits and hospitalizations (30 days: aOR 0.54 [0.38-0.76]; 90 days: aOR 0.68 [0.52-0.89]), but increased odds of phone calls and electronic health record inbox messages (30 days: aOR 3.44 [2.73-4.35]; 90 days: aOR 3.58 [2.95-4.35]).

conclusionsTelemedicine was associated with an increased odds of chest CT order with a concomitant decreased odds of chest x-ray order. Increased contact with the healthcare system with telemedicine may represent a larger time burden for outpatient clinicians.

Indexed as

COVID-19TelemedicineAdultAgedFemaleFloridaHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedDelivery of health careHealth resourcesOutpatientsPulmonary medicineTelehealthVirtual medicine

Identifiers

PMID38840112
PMCPMC11151562

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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.