Evidence map›Paper›PMID 28490353›Full record

Trial reportBMC medical informatics and decision making2017

Implementation of depression screening in antenatal clinics through tablet computers: results of a feasibility study.

José S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, Paul Ramchandani, Cecily Morrison, Josip Car

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02516982 (Tablet Computers for Implementing NICE Antenatal Mental Health Guidelines - Feasibility Study), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT02516982 completednot on this map

Tablet Computers for Implementing NICE Antenatal Mental Health Guidelines - Feasibility Study

TypeobservationalSponsorImperial College LondonRan2015 to 2018Enrolled946ConditionsDepression, PregnancyArmsWhooley Questions, Edinburgh Postnatal Depression Scale, Momentary questions, Contextual questions
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Observational
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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

6 authors.

José S Marcano-BelisarioGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK. jose.marcano-belisario10@imperial.ac.uk.
Ajay K GuptaFaculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
John O'DonoghueGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Paul RamchandaniThe Centre for Pyschiatry, Department of Medicine, Imperial College London, London, UK.
Cecily MorrisonGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Josip CarGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile devices may facilitate depression screening in the waiting area of antenatal clinics. This can present implementation challenges, of which we focused on survey layout and technology deployment.

methodsWe assessed the feasibility of using tablet computers to administer a socio-demographic survey, the Whooley questions and the Edinburgh Postnatal Depression Scale (EPDS) to 530 pregnant women attending National Health Service (NHS) antenatal clinics across England. We randomised participants to one of two layout versions of these surveys: (i) a scrolling layout where each survey was presented on a single screen; or (ii) a paging layout where only one question appeared on the screen at any given time.

resultsOverall, 85.10% of eligible pregnant women agreed to take part. Of these, 90.95% completed the study procedures. Approximately 23% of participants answered Yes to at least one Whooley question, and approximately 13% of them scored 10 points of more on the EPDS. We observed no association between survey layout and the responses given to the Whooley questions, the median EPDS scores, the number of participants at increased risk of self-harm, and the number of participants asking for technical assistance. However, we observed a difference in the number of participants at each EPDS scoring interval (p = 0.008), which provide an indication of a woman's risk of depression. A scrolling layout resulted in faster completion times (median = 4 min 46 s) than a paging layout (median = 5 min 33 s) (p = 0.024). However, the clinical significance of this difference (47.5 s) is yet to be determined.

conclusionsTablet computers can be used for depression screening in the waiting area of antenatal clinics. This requires the careful consideration of clinical workflows, and technology-related issues such as connectivity and security. An association between survey layout and EPDS scoring intervals needs to be explored further to determine if it corresponds to a survey layout effect. Future research needs to evaluate the effect of this type of antenatal depression screening on clinical outcomes and clinic workflows.

trial registrationThis study was registered in ClinicalTrials.gov under the identifier NCT02516982 on 20 July 2015.

Indexed as

Computers, HandheldMass ScreeningPrenatal CareDepressionEnglandFeasibility StudiesFemaleHumansPregnancyState MedicineSurveys and QuestionnairesAntenatal depressionApple ® iPad®Edinburgh Postnatal Depression Scale (EPDS)Mental healthMobile health (mHealth)Patient self-reportPopulation screeningSurvey layoutTablet computersWhooley questions

Identifiers

PMID28490353
PMCPMC5424386

What OpenQuestion holds

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Registered trials

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.