Evidence map›Paper›PMID 25883164›Full record

Trial reportJournal of diabetes science and technology2015

DialBetics With a Multimedia Food Recording Tool, FoodLog: Smartphone-Based Self-Management for Type 2 Diabetes.

Kayo Waki, Kiyoharu Aizawa, Shigeko Kato, Hideo Fujita, Hanae Lee, Haruka Kobayashi, Makoto Ogawa, Keisuke Mouri, Takashi Kadowaki, Kazuhiko Ohe

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Improving HbATelemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
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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

10 authors.

Kayo WakiDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan kwaki-tky@umin.ac.jp.
Kiyoharu AizawaDepartment of Information and Communication Engineering, University of Tokyo, Tokyo, Japan.
Shigeko KatoDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Hideo FujitaDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Hanae LeeDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Haruka KobayashiBusiness Development of Healthcare Business Smart-life Solutions Department, NTT DOCOMO, Inc., Tokyo, Japan.
Makoto Ogawafoo.log, Inc., Tokyo, Japan.
Keisuke MouriDepartment of Information and Communication Engineering, University of Tokyo, Tokyo, Japan foo.log, Inc., Tokyo, Japan.
Takashi KadowakiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Kazuhiko OheDepartment of Medical Informatics and Economics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes self-management education is an essential element of diabetes care. Systems based on information and communication technology (ICT) for supporting lifestyle modification and self-management of diabetes are promising tools for helping patients better cope with diabetes. An earlier study had determined that diet improved and HbA1c declined for the patients who had used DialBetics during a 3-month randomized clinical trial. The objective of the current study was to test a more patient-friendly version of DialBetics, whose development was based on the original participants' feedback about the previous version of DialBetics.

methodDialBetics comprises 4 modules: data transmission, evaluation, exercise input, and food recording and dietary evaluation. Food recording uses a multimedia food record, FoodLog. A 1-week pilot study was designed to determine if usability and compliance improved over the previous version, especially with the new meal-input function.

resultsIn the earlier 3-month, diet-evaluation study, HbA1c had declined a significant 0.4% among those who used DialBetics compared with the control group. In the current 1-week study, input of meal photos was higher than with the previous version (84.8 ± 13.2% vs 77.1% ± 35.1% in the first 2 weeks of the 3-month trial). Interviews after the 1-week study showed that 4 of the 5 participants thought the meal-input function improved; the fifth found input easier, but did not consider the result an improvement.

conclusionsDialBetics with FoodLog was shown to be an effective and convenient tool, its new meal-photo input function helping provide patients with real-time support for diet modification.

Indexed as

Diet RecordsMobile ApplicationsSmartphoneAdultAgedComputer SystemsDiabetes Mellitus, Type 2DietDocumentationEnergy IntakeExerciseFemaleGlycated HemoglobinHumansMaleMiddle AgedGlycated Hemoglobinmobile phoneself-managementtelemedicinetype 2 diabetes

Identifiers

PMID25883164
PMCPMC4604534

What OpenQuestion holds

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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.