Evidence map›Paper›PMID 26769910›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detective.

Lena Mamykina, Elizabeth M Heitkemper, Arlene M Smaldone, Rita Kukafka, Heather Cole-Lewis, Patricia G Davidson, Elizabeth D Mynatt, Jonathan N Tobin, Andrea Cassells, Carrie Goodman and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
5.2field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Barriers and facilitators of self-management of diabetes amongst people experiencing socioeconomic deprivation: A systematic review and qualitative synthesis.Health expectations : an international journal of public participation in health care and health policy · 2024
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  10. Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2025
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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

11 authors at 5 institutions in 1 country.

Lena MamykinaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA lena.mamykina@dbmi.columbia.edu.
Elizabeth M HeitkemperSchool of Nursing, Columbia University, New York, NY, USA.
Arlene M SmaldoneSchool of Nursing, Columbia University, New York, NY, USA.
Rita KukafkaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Heather Cole-LewisDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Patricia G DavidsonWest Chester University, West Chester, PA, USA.
Elizabeth D MynattGeorgia Institute of Technology, Atlanta, GA, USA.
Jonathan N TobinThe Rockefeller University Center for Clinical and Translational Science, New York, NY USA Department of Epidemiology and Public Health, Albert Einstein College of Medicine of Yeshiva University/Montefiore Medical Center, New York, NY USA.
Andrea CassellsClinical Directors Network, Inc., New York, NY, USA.
Carrie GoodmanClinical Directors Network, Inc., New York, NY, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Columbia University · USClinical Directors Network · USGeorgia Institute of Technology · USRockefeller University · USWest Chester University · US

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
HIT for Facilitating Problem Solving in Diabetes ManagementR01DK090372 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M, MAMYKINA, OLENA · 2011 to 2015
$3.3M
NIDDK NIH HHS 1R01DK090372-01A1NIDDK NIH HHS R01 DK090372NINR NIH HHS T32 NR007969NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

objectiveTo investigate subjective experiences and patterns of engagement with a novel electronic tool for facilitating reflection and problem solving for individuals with type 2 diabetes, Mobile Diabetes Detective (MoDD).

methodsIn this qualitative study, researchers conducted semi-structured interviews with individuals from economically disadvantaged communities and ethnic minorities who are participating in a randomized controlled trial of MoDD. The transcripts of the interviews were analyzed using inductive thematic analysis; usage logs were analyzed to determine how actively the study participants used MoDD.

resultsFifteen participants in the MoDD randomized controlled trial were recruited for the qualitative interviews. Usage log analysis showed that, on average, during the 4 weeks of the study, the study participants logged into MoDD twice per week, reported 120 blood glucose readings, and set two behavioral goals. The qualitative interviews suggested that individuals used MoDD to follow the steps of the problem-solving process, from identifying problematic blood glucose patterns, to exploring behavioral triggers contributing to these patterns, to selecting alternative behaviors, to implementing these behaviors while monitoring for improvements in glycemic control. DISCUSSION: This qualitative study suggested that informatics interventions for reflection and problem solving can provide structured scaffolding for facilitating these processes by guiding users through the different steps of the problem-solving process and by providing them with context-sensitive evidence and practice-based knowledge related to diabetes self-management on each of those steps.

conclusionThis qualitative study suggested that MoDD was perceived as a useful tool in engaging individuals in self-monitoring, reflection, and problem solving.

Indexed as

Mobile ApplicationsSelf CareAdultBlood GlucoseCommunity Health CentersDiabetes Mellitus, Type 2FemaleGoalsHumansInterviews as TopicMaleMiddle AgedMinority GroupsProblem SolvingQualitative ResearchRandomized Controlled Trials as TopicBlood Glucosechronic diseasediabetesinterventionqualitative studyself-care

Identifiers

PMID26769910
PMCPMC5009935
OpenAlexW2257111162

What OpenQuestion holds

Textmetadata
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.