Evidence map›Paper›PMID 29942610›Full record

ArticleDigital health

Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol.

Chidiebere Hope Nwolise, Nicola Carey, Jill Shawe

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

3 authors at 1 institution in 1 country.

Chidiebere Hope NwoliseSchool of Health Sciences, University of Surrey, UK.ORCID 0000-0002-5510-1103
Nicola CareySchool of Health Sciences, University of Surrey, UK.
Jill ShaweSchool of Health Sciences, University of Surrey, UK.
University of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with diabetes are at increased risk of adverse maternal and fetal outcomes. Preconception care can improve pregnancy outcomes and is paramount to minimise complications, but, current provision is sub-optimal. Mobile technology, particularly smartphones and apps have the potential to improve preconception care provision but research is lacking in this area. The need to use modern technologies to improve preconception care knowledge and awareness led to the development of a preconception and diabetes information app in Stage A of this study.

objectiveThe aim of this paper, Stage B of the study, is to explore the feasibility and acceptability of the Preconception and Diabetes Information app to improve preconception care knowledge and attitudes in women with diabetes, and explore the potential for wider implementation.

methodsA mixed-methods study design adopting a quasi-experimental approach will assess women's knowledge and attitudes related to preconception care, and level of patient activation (knowledge and confidence for self-management of health) before and after the three-month intervention period. A log of activity will be used to determine engagement with the app and semi-structured interviews will explore women's experiences.

conclusionsThis is the first study to explore the acceptability and feasibility of a preconception and diabetes information app for women with diabetes. The app has potential to change the way preconception care is delivered, improve pregnancy outcomes and be widely implemented both in developed and developing countries. This is important given the considerable shortfalls in current preconception care services in the United Kingdom and around the world.

Indexed as

diabetes mellituseducationmobile applicationsmobile healthPreconception caresmartphonestechnologywomen

Identifiers

PMID29942610
PMCPMC6001229
OpenAlexW2751443637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.