Evidence map›Paper›PMID 37587868›Full record

ArticleCancer medicine2023

The digital divide: Racial disparities in adoption and utilization of health information technology among patients with lymphoid cancers.

Sikander Ailawadhi, Meghna Ailawadhi, Navnita Dutta, Ricardo D Parrondo, Vivek Roy, Taimur Sher, Mizba Baksh, Ahsan Rasheed, Saurav Das, Andre J Fernandez and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 6 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

12 authors at 2 institutions in 1 country.

Sikander AilawadhiDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0002-8377-8111
Meghna AilawadhiDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Navnita DuttaDivision of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA.
Ricardo D ParrondoDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0002-9314-9933
Vivek RoyDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Taimur SherDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Mizba BakshDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Ahsan RasheedDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Saurav DasDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Andre J FernandezDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Aneel PaulusDivision of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA.
Asher A Chanan-KhanDivision of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Mayo Clinic in Florida · USJacksonville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth information technology (HIT) has the potential to improve healthcare delivery and engagement. Studying racial-ethnic disparities in HIT engagement will help understand and overcome challenges to healthcare utilization.

methodsWe undertook a patient-reported survey among patients with lymphoid malignancies at two campuses of Mayo Clinic, Florida to explore HIT-related disparities. Variables between Whites and non-Whites, and non-Whites from the two campuses were compared.

resultsThe survey was completed by 1004 respondents, with 71% whites, 27% non-Whites (race-ethnicity not reported by 2%). Non-Whites included 30% responders at the main campus and 64% at an inner-city campus. Whites were significantly older and had higher education, while non-Whites had lesser access to a computer. Only 51% of non-Whites were registered to use electronic medical records (EMR) as compared to 72% Whites (p < 0.001) and significantly lesser number of non-Whites even knew that EMR existed (81% vs. 92%, p < 0.001). Encouragingly, a higher number of non-Whites wanted to engage in EMR. Non-Whites from the main campus were older, more educated and had more access to a computer as compared to those from the inner-city campus. Similar disparate factors were noted among minorities from the two campuses, suggesting impact of socioeconomic backgrounds on EMR usage among non-Whites. Linguistic barriers were more striking among inner-city campus non-Whites.

conclusionsNon-Whites continue to struggle with suboptimal utilization of the healthcare system and barriers related to integration in HIT, including disparities representing socioeconomic differences. Efforts need to be made at several levels to help racial-ethnic minorities overcome awareness, access, and linguistic barriers to HIT utilization.

Indexed as

Digital DivideHealthcare DisparitiesMedical InformaticsPatient Acceptance of Health CareAdultAgedElectronic Health RecordsFemaleFloridaHumansMaleMiddle AgedSurveys and QuestionnairesWhite

Identifiers

PMID37587868
PMCPMC10557846
OpenAlexW4385898352

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.