Evidence map›Paper›PMID 35749207›Full record

ArticleJMIR diabetes2022

Accessibility and Openness to Diabetes Management Support With Mobile Phones: Survey Study of People With Type 1 Diabetes Using Advanced Diabetes Technologies.

Yu Kuei Lin, Caroline Richardson, Iulia Dobrin, Rodica Pop-Busui, Gretchen Piatt, John Piette

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Yu Kuei LinDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-1988-7046
Caroline RichardsonDepartment of Family Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-1945-6046
Iulia DobrinDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-7052-8105
Rodica Pop-BusuiDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-2042-1350
Gretchen PiattDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-6641-6330
John PietteVeterans Affairs Ann Arbor Healthcare System Center for Clinical Management Research, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-7241-2798
University of Michigan · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Minimizing Hypoglycemia in Adults with Type 1 Diabetes through an Integrated Mobile Health and Continuous Glucose Monitoring SystemK23DK129724 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIN, YU KUEI · 2021 to 2025
$984k
NIDDK NIH HHS K23 DK129724NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundLittle is known about the feasibility of mobile health (mHealth) support among people with type 1 diabetes (T1D) using advanced diabetes technologies including continuous glucose monitoring (CGM) systems and hybrid closed-loop insulin pumps (HCLs).

objectiveThis study aims to evaluate patient access and openness to receiving mHealth diabetes support in people with T1D using CGM systems or HCLs.

methodsWe conducted a cross-sectional survey among patients with T1D using CGM systems or HCLs managed in an academic medical center. Participants reported information regarding their mobile device use; cellular call, SMS text message, or internet connectivity; and openness to various channels of mHealth communication (smartphone apps, SMS text messages, and interactive voice response [IVR] calls). Participants' demographic characteristics and CGM data were collected from medical records. The analyses focused on differences in openness to mHealth and mHealth communication channels across groups defined by demographic variables and measures of glycemic control.

resultsAmong all participants (N=310; female: n=198, 63.9%; mean age 45, SD 16 years), 98.1% (n=304) reported active cellphone use and 80% (n=248) were receptive to receiving mHealth support to improve glucose control. Among participants receptive to mHealth support, 98% (243/248) were willing to share CGM glucose data for mHealth diabetes self-care assistance. Most (176/248, 71%) were open to receiving messages via apps, 56% (139/248) were open to SMS text messages, and 12.1% (30/248) were open to IVR calls. Older participants were more likely to prefer SMS text messages (P=.009) and IVR calls (P=.03) than younger participants.

conclusionsMost people with T1D who use advanced diabetes technologies have access to cell phones and are receptive to receiving mHealth support to improve diabetes control.

Indexed as

acceptabilityaccesscell phonecellphonecross-sectionaldiabetesdiabetes self-managementdiabetes technologyfeasibilityglucose monitorglycemic controlinsulin pumpinteractive voice response callmHealthmobile devicemobile healthpatient communicationself-managementsmartphonetext messagetype 1 diabetes

Identifiers

PMID35749207
PMCPMC9270702
OpenAlexW4226087741

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.