Evidence map›Paper›PMID 33928755›Full record

Trial reportJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2021

Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.

Allison A Lewinski, Jacqueline Vaughn, Anna Diane, Angel Barnes, Matthew J Crowley, Dori Steinberg, Janee Stevenson, Qing Yang, Allison A Vorderstrasse, Daniel Hatch and 2 more

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04587336 (Tailored Approaches to Reduce Distress and Improve Self-Management for Veterans With Diabetes), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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.

NCT04587336 completednot on this map

Tailored Approaches to Reduce Distress and Improve Self-Management for Veterans With Diabetes (TARDIS) - Survey & Qualitative Interview

TypeobservationalSponsorVA Office of Research and DevelopmentRan2020 to 2025Enrolled225ConditionsDiabetes, Diabetes Distress, Self-Management, VeteranArmsCognitive Interview, Baseline Survey, Qualitative Interviews
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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

12 authors at 5 institutions in 1 country.

Allison A LewinskiResearch Health Scientist, Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC; Assistant Professor, School of Nursing, Duke University, Durham, NC, USA.ORCID 0000-0002-1356-1857
Jacqueline VaughnClinical Instructor, School of Nursing, Duke University, Durham, NC; Postdoctoral Fellow, School of Nursing, University of North Carolina, Chapel Hill, NC, USA.
Anna DianePhD student, School of Nursing, Duke University, Durham, NC, USA.
Angel BarnesClinical Research Coordinator, School of Nursing, Duke University, Durham, NC, USA.
Matthew J CrowleyInvestigator, Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC; Associate Professor, Division of Endocrinology, Diabetes and Metabolism, Duke University School of Medicine, Durham, NC, USA.
Dori SteinbergAssociate Professor, School of Nursing, Duke University, Durham, NC, USA.
Janee StevensonMaster of Nursing student, School of Nursing, Winston-Salem State University, Winston Salem, NC, USA.
Qing YangAssistant Professor, School of Nursing, Duke University, Durham, NC, USA.
Allison A VorderstrasseProfessor and Dean, College of Nursing, University of Massachusetts Amherst, Amherst, MA, USA.
Daniel HatchBiostatistician, School of Nursing, Duke University, Durham, NC, USA.
Meilin JiangPhD student, University of Florida College of Public Health and Health Professions, University of Florida College of Medicine, Gainesville, FL, USA.
Ryan J ShawAssociate Professor, School of Nursing, Duke University, Durham, NC; Center for Applied Genomics & Precision Medicine, School of Medicine, Duke University, Durham, NC, USA.
Duke University · USAmherst College · USUniversity of Florida · USUniversity of North Carolina at Chapel Hill · USWinston-Salem State University · US

Funding

From Episodic to Real-Time Care in Diabetes Self-ManagementR15NR015890 · NINR · DUKE UNIVERSITY · PI SHAW, RYAN JEFFREY · 2016 to 2016
$477k
Technology-Mediated Symptom Management in Pediatric Blood and Marrow Transplant CareF31NR018100 · NINR · DUKE UNIVERSITY · PI VAUGHN, JACQUELINE · 2018 to 2019
$79k
Engaging Black Men in Digital Health to Improve Self-Management of Type 2 Diabetes: An Iterative Participatory Design ApproachF31NR019213 · NINR · DUKE UNIVERSITY · PI DIANE, ANNA · 2020 to 2022
$78k
NINR NIH HHS F31 NR018100NINR NIH HHS F31 NR019213NINR NIH HHS R15 NR015890
6 · The paper itself

Abstract

purposeThis study identified facilitators and barriers pertaining to the use of multiple mobile health (mHealth) devices (Fitbit Alta® fitness tracker, iHealth® glucometer, BodyTrace® scale) that support self-management behaviors in individuals with type 2 diabetes mellitus (T2DM).

designThis qualitative descriptive study presents study participants' perceptions of using multiple mobile devices to support T2DM self-management. Additionally, this study assessed whether participants found visualizations, generated from each participant's health data as obtained from the three separate devices, useful and easy to interpret.

methodsSemistructured interviews were completed with a convenience sample of participants (n = 20) from a larger randomized control trial on T2DM self-management. Interview questions focused on participants' use of three devices to support T2DM self-management. A study team member created data visualizations of each interview participant's health data using RStudio.

resultsWe identified two themes from descriptions of study participants: feasibility and usability. We identified one theme about visualizations created from data obtained from the mobile devices. Despite some challenges, individuals with T2DM found it feasible to use multiple mobile devices to facilitate engagement in T2DM self-management behaviors. DISCUSSION: As mHealth devices become increasingly popular for diabetes self-management and are integrated into care delivery, we must address issues associated with the use of multiple mHealth devices and the use of aggregate data to support T2DM self-management. CLINICAL RELEVANCE: Real-time patient-generated health data that are easily accessible and readily available can assist T2DM self-management and catalyze conversations, leading to better self-management. Our findings lay an important groundwork for understanding how individuals with T2DM can use multiple mHealth devices simultaneously to support self-management.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementTelemedicineAdultComputers, HandheldHumansPerceptionDiabetes mellituspatient-generated health dataqualitative analysistype 2

Identifiers

PMID33928755
PMCPMC8448945
OpenAlexW3157989207

What OpenQuestion holds

Textmetadata
LicenceTDM
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.