Evidence map›Paper›PMID 29396389›Full record

ArticleJMIR mHealth and uHealth2018

Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis.

Charlene Connolly Quinn, Erin C Butler, Krystal K Swasey, Michelle D Shardell, Michael D Terrin, Erik A Barr, Ann L Gruber-Baldini

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01107015 (Mobile Diabetes Management), which is not on this map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 pooled it
17.1field-weighted citation impact, top 1% 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.

NCT01107015 nacompletednot on this map

Mobile Diabetes Management

TypeinterventionalSponsorUniversity of Maryland, BaltimoreRan2008 to 2011Enrolled213ConditionsDiabetesArmsTailored Patient Intervention, Patient-physician intervention, Patient and PCP intervention with analyzed data
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 68 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

7 authors at 3 institutions in 1 country.

Charlene Connolly QuinnDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-6066-2984
Erin C ButlerDepartment of Emergency Medicine, Wellspan York Hospital, York, PA, United States.ORCID http://orcid.org/0000-0001-9992-1886
Krystal K SwaseyDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0003-3241-901X
Michelle D ShardellNational Institute on Aging, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-5283-2082
Michael D TerrinDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-6342-2900
Erik A BarrDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-4253-9376
Ann L Gruber-BaldiniDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-0190-1973
University of Maryland, Baltimore · USNational Institute on Aging · USWellSpan York Hospital · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
NIA NIH HHS P30 AG028747
6 · The paper itself

Abstract

backgroundSuccessful treatment of diabetes includes patient self-management behaviors to prevent or delay complications and comorbid diseases. On the basis of findings from large clinical trials and professional guidelines, diabetes education programs and health providers prescribe daily regimens of glucose monitoring, healthy eating, stress management, medication adherence, and physical activity. Consistent, long-term commitment to regimens is challenging. Mobile health is increasingly being used to assist patients with lifestyle changes and self-management behaviors between provider visits. The effectiveness of mobile health to improve diabetes outcomes depends on patient engagement with a technology, content, or interactions with providers.

objectivesIn the current analysis, we aimed to identify patient engagement themes in diabetes messaging with diabetes providers and determine if differences in engagement in the Mobile Diabetes Intervention Study (MDIS) influenced changes in glycated hemoglobin A

methodsIn the primary MDIS study, 163 patients were enrolled into 1 of 3 mobile intervention groups or a usual care control group based on their physician cluster randomization assignment. The control group received care from their physicians as usual. Participants in each intervention group had access to a patient portal where they could record monitoring values for blood glucose, blood pressure, medication changes, or other self-management information while also assigned to varying levels of physician access to patient data. Intervention participants could choose to send and receive messages to assigned certified diabetes educators with questions or updates through the secure Web portal. For this secondary analysis, patient engagement was measured using qualitative methods to identify self-care themes in 4109 patient messages. Mixed methods were used to determine the impact of patient engagement on change in HbA

resultsSelf-care behavior themes that received the highest engagement for participants were glucose monitoring (75/107, 70.1%), medication management (71/107, 66.4%), and reducing risks (71/107, 66.4%). The average number of messages sent per patient were highest for glucose monitoring (9.2, SD 14.0) and healthy eating (6.9, SD 13.2). Compared to sending no messages, sending any messages about glucose monitoring (P=.03) or medication (P=.01) led to a decrease in HbA

conclusionsThe findings from this study help validate the efficacy of the mobile diabetes intervention. The next step is to determine differences between patients who engage in mobile interventions and those who do not engage and identify methods to enhance patient engagement.

trial registrationClinicalTrials.gov: NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by WebCite at http://www.webcitation.org/6wh4ekP4R).

Indexed as

diabetesdigital healthengagementmobile healthqualitativerandomized clinical trial

Identifiers

PMID29396389
PMCPMC5816260
OpenAlexW2786384288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.