Evidence map›Paper›PMID 27495978›Full record

Trial reportBMC pregnancy and childbirth2016

Use of a web-based educational intervention to improve knowledge of healthy diet and lifestyle in women with Gestational Diabetes Mellitus compared to standard clinic-based education.

Padaphet Sayakhot, Mary Carolan-Olah, Cheryl Steele

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  16. Bridging Gaps and Understanding Disparities in Gestational Diabetes Mellitus to Improve Perinatal Outcomes.Diabetes spectrum : a publication of the American Diabetes Association · 2019
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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

3 authors at 2 institutions in 1 country.

Padaphet SayakhotVictoria University, St Albans Campus, College of Health and Biomedicine, Building 4C, McKechnie Street, St Albans, Victoria, 3021, Australia. Padaphet.sayakhot@vu.edu.au.
Mary Carolan-OlahVictoria University, St Albans Campus, College of Health and Biomedicine, Building 4C, McKechnie Street, St Albans, Victoria, 3021, Australia.
Cheryl SteeleDiabetes Education Service, Endocrinology and Diabetes Centre, Western Health Sunshine Hospital, 176 Furlong Road, Sunshine, Victoria, 3021, Australia.
Victoria University · AUSunshine Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study introduced a web-based educational intervention for Australian women with gestational diabetes mellitus (GDM). The aim was to improve knowledge on healthy diet and lifestyle in GDM. Evaluation of the intervention explored women's knowledge and understanding of GDM, healthy diet, healthy food, and healthy lifestyle, after using the web-based program compared to women receiving standard clinic-based GDM education.

methodsA total of 116 women, aged 18-45 years old, newly diagnosed with GDM, participated (Intervention (n) = 56 and control (n) = 60). Women were randomly allocated to the intervention or control groups and both groups attended a standard GDM education class. Group 1(Intervention) additionally used an online touch screen/computer program. All women completed a questionnaire following the computer program and/or the education class. All questions evaluating levels of knowledge had more than one correct answer and scores were graded from 0 to 1, with each correct component receiving a score, eg. 0.25 per each correct answer in a 4 answer question. Chi-square test was performed to compare the two groups regarding knowledge of GDM.

resultsFindings indicated that the majority of women in the intervention group reported correct answers for "types of carbohydrate foods" for pregnant women with GDM, compared to the control group (62.5 % vs 58.3 %, respectively). Most women in both groups had an excellent understanding of "fruits and vegetables" (98.2 % vs 98.3 %), and the majority of women in the intervention group understood that they should exercise daily for 30 min, compared to the control group (92.9 % vs 91.7 %). Both groups had a good understanding across all categories, however, the majority of women in the intervention group scored all correct answers (score = 1) in term of foetal effects (17.9 % vs 13.3 %, respectively), maternal predictors (5.4 % vs 5 %), care requirements (39.3 % vs 23.3 %), GDM perceptions (48.2 % vs 46.7 %) and GDM treatment (67.9 % vs 61.7 %), compared to women in the control group.

conclusionThe study suggested that both approaches, standard education and standard education plus web-based program, resulted in excellent knowledge scores, but not statistically significant difference between groups. Multiple and immediate access to the web-based education program at home may prove useful as a source of reference for women with GDM. Future study comparing results pre and post intervention is needed.

trial registrationACTRN12615000697583 ; Date registered: 03/07/2015; Retrospectively registered.

Indexed as

Diet, HealthyExerciseFoodHealth Knowledge, Attitudes, PracticeAdultDiabetes, GestationalDietary CarbohydratesEducational StatusFemaleFetal DevelopmentFruitHumansInternetPatient Education as TopicPregnancySurveys and QuestionnairesDietary CarbohydratesFood choiceGestational diabetes mellitusKnowledgeManagementUnderstanding

Identifiers

PMID27495978
PMCPMC4974775
OpenAlexW2499501831

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.