Evidence map›Paper›PMID 31514743›Full record

ArticleBMC health services research2019

Service evaluation of diabetes management during pregnancy in a regional maternity hospital: potential scope for increased self-management and remote patient monitoring through mHealth solutions.

Abdelrahim Alqudah, Paul McMullan, Anna Todd, Conor O'Doherty, Anne McVey, Mae McConnell, John O'Donoghue, Joe Gallagher, Chris J Watson, Lana McClements

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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.

Abdelrahim AlqudahThe Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom.
Paul McMullanCraigavon Area Hospital, Southern Health and Social Care Trust, Craigavon, United Kingdom.
Anna ToddCraigavon Area Hospital, Southern Health and Social Care Trust, Craigavon, United Kingdom.
Conor O'DohertyCraigavon Area Hospital, Southern Health and Social Care Trust, Craigavon, United Kingdom.
Anne McVeyCraigavon Area Hospital, Southern Health and Social Care Trust, Craigavon, United Kingdom.
Mae McConnellCraigavon Area Hospital, Southern Health and Social Care Trust, Craigavon, United Kingdom.
John O'DonoghueASSERT Centre, University College Cork, Cork, Ireland.
Joe GallaghergHealth Research group, School of Medicine, University College Dublin, Dublin 4, Ireland.
Chris J WatsonThe Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom. chris.watson@qub.ac.uk.
Lana McClementsThe Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom. lana.mcclements@uts.edu.au.ORCID http://orcid.org/0000-0002-4911-1014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-gestational and gestational diabetes mellitus are common complications in pregnancy affecting one in six pregnancies. The maternity services are under significant strain managing the increasing number of complex pregnancies. This has an impact on patients' experience of antenatal care. Therefore, there is a clear need to address pregnancy care. One possible solution is to use home-based digital technology to reduce clinic visits and improve clinical monitoring.

methodsThe aim of this study was to evaluate the antenatal services provided to pregnant women with diabetes who were monitored at the joint metabolic and obstetric clinic at the Southern Health and Social Care Trust in Northern Ireland.

resultsThe questionnaires were completed by sixty-three women, most of whom had gestational diabetes mellitus. Most of the participants were between 25 and 35 years of age (69.8%), had one or more children (65.1%) and spent over 2 h attending the clinics (63.9%); 78% of women indicated that their travel time to and from the clinic appointment was over 15 min. Over 70% of women used smartphones for health-related purposes. However, only 8.8% used smartphones to manage their health or diabetes. Less than 25% of the women surveyed expressed concerns about using digital technology from home to monitor various aspects of their health in pregnancy.

conclusionsOverall, pregnant women who had or developed diabetes in pregnancy experience frequent hospital visits and long waiting times in the maternity clinics. Most of these pregnant women are willing to self-manage their condition from home and to be monitored remotely by the healthcare staff.

Indexed as

Hospitals, MaternitySelf-ManagementTelemedicineAdultDiabetes, GestationalFemaleHealth Services ResearchHumansMonitoring, PhysiologicNorthern IrelandPregnancyPregnancy ComplicationsAntenatal clinicDiabetesDigital technologyGestational diabetesHome monitoringPregnancyType 1 diabetesType 2 diabetes

Identifiers

PMID31514743
PMCPMC6743173

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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.