Evidence map›Paper›PMID 27629774›Full record

ArticleBMC medical informatics and decision making2016

Qualitative assessment of user experiences of a novel smart phone application designed to support flexible intensive insulin therapy in type 1 diabetes.

Brigid A Knight, H David McIntyre, Ingrid J Hickman, Marina Noud

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 7 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 7 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  9. Delineating and clarifying the concept of self-care monitoring: a concept analysis.International journal of qualitative studies on health and well-being · 2023
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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

4 authors at 4 institutions in 1 country.

Brigid A KnightQueensland Diabetes and Endocrine Centre, Mater Health Services, Brisbane, Australia. Brigid.Knight@health.qld.gov.au.
H David McIntyreQueensland Diabetes and Endocrine Centre, Mater Health Services, Brisbane, Australia.
Ingrid J HickmanMater Research Institute, University of Queensland, Brisbane, Australia.
Marina NoudQueensland Diabetes and Endocrine Centre, Mater Health Services, Brisbane, Australia.
Mater Health Services · AUMater Research · AUQueensland Children’s Hospital · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern flexible multiple daily injection (MDI) therapy requires people with diabetes to manage complex mathematical calculations to determine insulin doses on a day to day basis. Automated bolus calculators assist with these calculations, add additional functionality to protect against hypoglycaemia and enhance the record keeping process, however uptake and use depends on the devices meeting the needs of the user. We aimed to obtain user feedback on the usability of a mobile phone bolus calculator application in adults with T1DM to inform future development of mobile phone diabetes support applications.

methodsAdults with T1DM who had previously received education in flexible MDI therapy were invited to participate. Eligible respondents attended app education and one month later participated in a focus group to provide feedback on the features of the app in relation to usability for patient-based flexible MDI and future app development.

resultsSeven adults participated in the app training and follow up interview. App features that support dose adjustment to reduce hypoglycaemia risk and features that enable greater efficiency in dose calculation, record keeping and report generation were highly valued.

conclusionsAdults who are self managing flexible MDI found the Rapidcalc mobile phone app to be a useful self-management tool and additional features to further improve usability, such as connectivity with BG meter and food databases, shortcut options to economise data entry and web based storage of data, were identified. Further work is needed to ascertain specific features and benefit for those with lower health literacy.

Indexed as

Medical Informatics ApplicationsPatient SatisfactionAdultDiabetes Mellitus, Type 1FemaleHumansInsulinMaleMiddle AgedMobile ApplicationsQualitative ResearchSelf CareInsulinApplicationsDiabetes technologyIntensive managementiphoneSelf-management

Identifiers

PMID27629774
PMCPMC5024512
OpenAlexW2519913861

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.