Evidence map›Paper›PMID 39857494›Full record

ArticleInternational journal of environmental research and public health2024

Understanding Multi-Level Factors Impacting Digital Health Literacy in the Deep South of the United States.

Tanvi V Padalkar, Keyonsis Hildreth, Gabrielle B Rocque, Stacey A Ingram, Omari Whitlow, Dan Chu, Connie C Shao, Courtney P Williams, Claudia M Hardy, Chao-Hui Sylvia Huang and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Tanvi V PadalkarDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0009-0009-3605-360X
Keyonsis HildrethDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Gabrielle B RocqueDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0000-0003-4188-9785
Stacey A IngramDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Omari WhitlowDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0009-0002-1764-1640
Dan ChuDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Connie C ShaoDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0000-0001-9932-0271
Courtney P WilliamsO'Neal Comprehensive Cancer Center, Birmingham, AL 35233, USA.ORCID 0000-0001-5328-7517
Claudia M HardyDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Chao-Hui Sylvia HuangDepartment of Medicine, Division of Gerontology, Geriatrics and Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0000-0002-4690-7682
Nicole L HendersonDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0000-0003-2101-3065

Funding

UAB Cancer Prevention and Control Training Program (T32)T32CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Ritu Aneja, Ellen Mary Lavoie Smith · 2018 to 2026
$3.2M
American Cancer Society 349237.01.01.2026768.10Cancer Prevention and Control Training Program NIH T32 CA47888NCI NIH HHS T32 CA047888
6 · The paper itself

Abstract

As healthcare and health services become increasingly digitized, individuals with low digital health literacy (DHL) may experience inequitable care and outcomes. We explored factors impacting DHL and recommendations for improvement from community health coordinators and advisors (CHAs) in Alabama and Mississippi in United States. Semi-structured interviews were conducted with CHAs to gather insights on their perspectives on and experiences with DHL. Interviews were transcribed and analyzed using a grounded coding schema, with key barriers and recommendations mapped onto the Taplin Multi-Level Intervention model to help identify influences across various levels. Thirty-two CHAs participated, predominantly female (94%) and Black or African American (94%). At the individual level, factors involved demographic characteristics, increased patient workload, and attitudes towards technology. Social support was captured at the relationships level. At the provider level, provider-patient communication and injustices were involved, compounded by health system infrastructure and culture at the practice-setting level. Resource landscape and shared knowledge and beliefs were significant at the community level. The COVID-19 pandemic further highlighted these challenges at the societal level. CHAs provided targeted recommendations for addressing barriers at each level. CHAs identified multi-level factors contributing to DHL and emphasized levels based on comprehensive interventions.

Indexed as

Digital TechnologyHealth LiteracyAdultAlabamaCOVID-19FemaleHumansMaleMiddle AgedMississippicommunity health advisorsdigital health literacyTaplin Multi-Level Model

Identifiers

PMID39857494
PMCPMC11764728

What OpenQuestion holds

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LicenceCC BY
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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.