Evidence map›Paper›PMID 34164593›Full record

ArticleOTO open

Patterns of Technology Use Among Patients With Head and Neck Cancer and Implications for Telehealth.

Chloe B Warinner, Tuna C Hayirli, Regan W Bergmark, Rosh Sethi, Eleni M Rettig

Abstract read
In one paragraph

Article in OTO open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Neuroethics in the Era of Teleneurology.Seminars in neurology · 2022
    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.

Chloe B WarinnerHarvard Medical School, Boston, Massachusetts, USA.
Tuna C HayirliHarvard Medical School, Boston, Massachusetts, USA.
Regan W BergmarkDivision of Otolaryngology-Head and Neck Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Rosh SethiDivision of Otolaryngology-Head and Neck Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Eleni M RettigDivision of Otolaryngology-Head and Neck Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

objectiveTo describe baseline technology use within the head and neck cancer (HNC) population prior to the COVID-19 pandemic. STUDY

designCross-sectional analysis of National Health Interview Survey (NHIS) data.

settingThe NHIS is a survey of population health administered in person annually to a nationally representative sample of noninstitutionalized US residents via a complex clustered sampling design.

methodsData regarding technology use, cancer history, and demographics were extracted from the NHIS. The study population comprised individuals who completed the NHIS Sample Adult survey from 2012 to 2018 and self-reported a cancer diagnosis. Poisson regression was used to evaluate associations between demographics and general or health-related technology use and prevalence ratios reported.

resultsPatients with HNC were less likely to use general technology (computers, internet, or email) when compared with other patients with cancer (60% vs 73%,

conclusionSocioeconomic disparities exist in technology use rates among patients with HNC. Access to technology may pose a barrier to telehealth visits for many patients with HNC due to the unique socioeconomic demographics of this patient population.

Indexed as

coronavirusCOVID-19disparitieshead and neck cancerhealth disparitiessocioeconomictechnologytelehealthtelemedicine

Identifiers

PMID34164593
PMCPMC8188980

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LicenceCC BY-NC
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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.