Evidence map›Paper›PMID 34807834›Full record

ArticleJMIR diabetes2021

Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis.

Stephanie A Robinson, Dane Netherton, Mark Zocchi, Carolyn Purington, Arlene S Ash, Stephanie L Shimada

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02953262 (Improving Diabetes Care Through Effective Personalized Patient Portal Interactions), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 15% 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.

NCT02953262 nacompletednot on this map

Improving Diabetes Care Through Effective Personalized Patient Portal Interactions

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2019 to 2020Enrolled275ConditionsDiabetes MellitusArmsMy HealtheVet Brochure, My HealtheVet Training Guide for Veterans Living with Diabetes, My HealtheVet Group Training, My HealtheVet Individual Training
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 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

6 authors at 3 institutions in 1 country.

Stephanie A RobinsonCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0002-1352-217X
Dane NethertonCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0001-8422-4682
Mark ZocchiCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0001-9464-9561
Carolyn PuringtonCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0002-5994-2786
Arlene S AshDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-8448-0253
Stephanie L ShimadaDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-6517-5122
VA New England Healthcare System · USBoston University · USUniversity of Massachusetts Chan Medical School · US

Funding

K12 Cardiopulmonary Implementation Science Scholars ProgramK12HL138049 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., LINDENAUER, PETER KYLE · 2017 to 2021
$2.7M
NHLBI NIH HHS K12 HL138049
6 · The paper itself

Abstract

backgroundRural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management.

objectiveThis study explored whether rural patients' self-management and glycemic control was associated with the use of SM.

methodsThis secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients' rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships.

resultsThe sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI -1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01).

conclusionsMore frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.

Indexed as

accessaccessiblecross-sectionaldatadiabetesdigital healtheHealthmessagingpatient portalportalriskruralsecure messagingself-managementsupporturbanveteran

Identifiers

PMID34807834
PMCPMC8663667
OpenAlexW3214834430

What OpenQuestion holds

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Registered trials

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.