Evidence map›Paper›PMID 30291090›Full record

ArticleJMIR diabetes2017

Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use.

Amy R Sheon, Shari D Bolen, Bill Callahan, Sarah Shick, Adam T Perzynski

Abstract read
In one paragraph

Article in JMIR diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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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

5 authors.

Amy R SheonUrban Health Initiative, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.ORCID http://orcid.org/0000-0003-4752-7523
Shari D Bolen *Center for Health Care Research and Policy, Department of Medicine, MetroHealth/Case Western Reserve University, Cleveland, OH, United States.ORCID http://orcid.org/0000-0003-1469-8203
Bill Callahan *Connect Your Community, Cleveland, OH, United States.ORCID http://orcid.org/0000-0001-8512-6021
Sarah Shick *Center for Health Care Research and Policy, Department of Medicine, MetroHealth/Case Western Reserve University, Cleveland, OH, United States.ORCID http://orcid.org/0000-0002-1422-9354
Adam T Perzynski *Center for Health Care Research and Policy, Department of Medicine, MetroHealth/Case Western Reserve University, Cleveland, OH, United States.ORCID http://orcid.org/0000-0002-1323-0353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is one of the nation's leading drivers of disability and health care utilization, with elevated prevalence among individuals with lower education, income, and racial/ethnic minorities. Health information technology (HIT) holds vast potential for helping patients, providers, and payers to address T2D and the skyrocketing rates of chronic illness and associated health care costs. Patient portals to electronic health records (EHRs) serve as a gateway to consumer use of HIT. We found that disparities in portal use portend growing T2D disparities. Little progress has been made in addressing identified barriers to technology adoption, especially among populations with elevated risk of T2D. Patients often lack digital literacy skills and continuous connectivity and fear loss of the relationship with providers. Providers may experience structural disincentives to promoting patient use of HIT and apply hidden biases that inhibit portal use. Health care systems often provide inadequate training to patients and providers in use of HIT, and lack resources devoted to obtaining and optimizing use of data generated by HIT. Lastly, technology-related barriers include inadequate consideration of user perspectives, lack of evidence for patient-focused apps, and lack of features to enable providers and health care systems to readily obtain aggregate data to improve care and facilitate research. After discussing these barriers in detail, we propose possible solutions and areas where further research is needed to ensure that individuals and health care systems obtain the full benefit of the nation's planned $38 billion HIT investment. A digital inclusion framework sheds new light on barriers posed for patients with social health inequalities. We have determined that partnerships with community organizations focused on digital inclusion could help health systems explore and study new approaches, such as universal screening and referral of patients for digital skills, health literacy, and Internet connectivity.

Indexed as

chronic illnesscommunity health workersdiabetesdigital dividehealthcare disparitieshealth literacymeaningful usepatient engagementpatient portalsvulnerable populations

Identifiers

PMID30291090
PMCPMC6238861

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.