Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 199

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Secure messaging and diabetes management: experiences and perspectives of patient portal users

Open access
Wade-Vuturo, A. E., Mayberry, L. S., Osborn, C. Y.·2013·Journal of the American Medical Informatics Association

Abstract

BACKGROUND: Patient portal use has been associated with favorable outcomes, but we know less about how patients use and benefit from specific patient portal features. OBJECTIVE: Using mixed-methods, we explored how adults with type 2 diabetes (T2DM) use and benefit from secure messaging (SM) within a patient portal. METHODS: Adults with T2DM who had used a patient portal participated in a focus group and completed a survey (n=39) or completed a survey only (n=15). We performed thematic analysis of focus group transcripts to identify the benefits of and barriers to using SM within a portal. We also examined the association between use of various patient portal features and patients' glycemic control. RESULTS: Participants were on average 57.1 years old; 65% were female; 76% were Caucasian/White, and 20% were African American/Black. Self-reported benefits of SM within a portal included enhanced patient satisfaction, enhanced efficiency and quality of face-to-face visits, and access to clinical care outside traditional face-to-face visits. Self-reported barriers to using SM within a portal included preconceived beliefs or rules about SM and prior negative experiences with SM. Participants' assumptions about providers' opinions about SM and providers' instructions about SM also influenced use. Greater self-reported use of SM to manage a medical appointment was significantly associated with patients' glycemic control (ρ=-0.29, p=0.04). CONCLUSION: SM within a portal may facilitate access to care, enhance the quality of office visits, and be associated with patient satisfaction and clinical outcomes for patients with diabetes, but provider communication about SM is essential.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/amiajnl-2012-001253

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 199

Metadata

Authors
Wade-Vuturo, A. E., Mayberry, L. S., & Osborn, C. Y.
Venue
Journal of the American Medical Informatics Association
Published
2013-05-01
Volume
20
Issue
3
Pages
519-525
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2139497806
Cited by
199
References
5
FWCI
12.25
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Secure messaging and diabetes management: experiences and perspectives of patient portal users. https://app.cochat.ai/papers/10.1136/amiajnl-2012-001253
The paper
Wade-Vuturo, A. E., Mayberry, L. S., & Osborn, C. Y. (2013). Secure messaging and diabetes management: experiences and perspectives of patient portal users. Journal of the American Medical Informatics Association. https://doi.org/10.1136/amiajnl-2012-001253

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.