Evidence map›Paper›PMID 38594743›Full record

ArticleBMC health services research2024

Socioeconomic factors associated with use of telehealth services in outpatient care settings during the COVID-19.

Pearl C Kim, Lo-Fu Tan, Jillian Kreston, Haniyeh Shariatmadari, Estella Sky Keyoung, Jay J Shen, Bing-Long Wang

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.0field-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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Pearl C KimDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada in Las Vegas, Las Vegas, USA.
Lo-Fu TanInnovAge PACE, San Bernardino, USA.
Jillian KrestonOptum Care, United Health Group, Las Vegas, USA.
Haniyeh ShariatmadariDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada in Las Vegas, Las Vegas, USA.
Estella Sky KeyoungOrange County School of the Arts, Santa Ana, USA.
Jay J ShenDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada in Las Vegas, Las Vegas, USA. jay.shen@unlv.edu.
Bing-Long WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. wangbinglong@sph.pumc.edu.cn.
University of Nevada, Las Vegas · USChinese Academy of Medical Sciences & Peking Union Medical College · CNOrange County School · USUnitedHealth Group (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine potential changes and socioeconomic disparities in utilization of telemedicine in non-urgent outpatient care in Nevada since the COVID-19 pandemic.

methodsThis retrospective cross-sectional analysis of telemedicine used the first nine months of 2019 and 2020 electronic health record data from regular non-urgent outpatient care in a large healthcare provider in Nevada. The dependent variables were the use of telemedicine among all outpatient visits and using telemedicine more than once among those patients who did use telemedicine. The independent variables were race/ethnicity, insurance status, and language preference.

resultsTelemedicine services increased from virtually zero (16 visits out of 237,997 visits) in 2019 to 10.8% (24,159 visits out of 222,750 visits) in 2020. Asians (odds ratio [OR] = 0.85; 95% confidence interval [CI] = 0.85,0.94) and Latinos/Hispanics (OR = 0.89; 95% CI = 0.85, 0.94) were less likely to use telehealth; Spanish-speaking patients (OR = 0.68; 95% CI = 0.63, 0.73) and other non-English-speaking patients (OR = 0.93; 95% CI = 0.88, 0.97) were less likely to use telehealth; and both Medicare (OR = 0.94; 95% CI = 0.89, 0.99) and Medicaid patients (OR = 0.91; 95% CI = 0.87, 0.97) were less likely to use telehealth than their privately insured counterparts. Patients treated in pediatric (OR = 0.76; 95% CI = 0.60, 0.96) and specialty care (OR = 0.67; 95% CI = 0.65, 0.70) were less likely to use telemedicine as compared with patients who were treated in adult medicine.

conclusionsRacial/ethnic and linguistic factors were significantly associated with the utilization of telemedicine in non-urgent outpatient care during COVID-19, with a dramatic increase in telemedicine utilization during the onset of the pandemic. Reducing barriers related to socioeconomic factors can be improved via policy and program interventions.

Indexed as

COVID-19TelemedicineAdultAgedAmbulatory CareChildCross-Sectional StudiesHumansMedicarePandemicsRetrospective StudiesSocioeconomic FactorsUnited StatesCOVID-19Socioeconomic disparitiesTelehealthTelemedicine

Identifiers

PMID38594743
PMCPMC11005124
OpenAlexW4394602602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.