Evidence map›Paper›PMID 34848076›Full record

ArticleSurgery2022

Sociodemographic factors affecting telemedicine access: A population-based analysis.

Anees B Chagpar

Abstract read
In one paragraph

Article in Surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  8. Sociodemographic factors and family use of remote infant viewing in neonatal intensive care.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Anees B ChagparDepartment of Surgery, Yale University School of Medicine, New Haven, CT. Electronic address: anees.chagpar@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 pandemic prompted a surge in telemedicine, with the presumption that patients had computer and internet access. We sought to determine, in a population-based sample, how many Americans were using computers and the internet before the pandemic, and whether disparities existed in this.

methodsThe National Health Interview Survey is conducted annually by the Centers for Disease Control and Prevention and is representative of the entire United States civilian non-institutionalized population. In 2018, questions were fielded regarding computer and web utilization. We evaluated sociodemographic factors associated with this.

resultsTwenty-five thousand and forty-nine people, representing 245,842,992 in the population, responded to these questions. Of the responses, 19% stated they used a computer "never or almost never," 18% stated they did not use the internet, and 25% did not use email. Over the previous 12 months, 55% of responders stated they had looked up health information on the internet, 11% had filled a prescription online, 16% had scheduled a medical appointment on the internet, and 17% had communicated with a healthcare provider by email. Internet usage varied by region, age, race, education, family income, and insurance status, but not by gender.

conclusionAs telemedicine becomes more prevalent, sociodemographic factors limiting computer and internet use may disadvantage certain segments of the population.

Indexed as

Healthcare DisparitiesSociodemographic FactorsTelemedicineAdultAgedAged, 80 and overCOVID-19FemaleHealth Services AccessibilityHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID34848076
PMCPMC8872675

What OpenQuestion holds

Textmetadata
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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.