Evidence map›Paper›PMID 32127731›Full record

ArticleInternational journal of human-computer studies2020

Personal information and public health: Design tensions in sharing and monitoring wellbeing in pregnancy.

Kevin Doherty, Marguerite Barry, José Marcano Belisario, Cecily Morrison, Josip Car, Gavin Doherty

Abstract read
In one paragraph

Article in International journal of human-computer studies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

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

  1. Pooled it
  2. Pooled it
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  7. Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease: An Integrative Review.International journal of environmental research and public health · 2021
    Review
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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.

Kevin DohertyCopenhagen Center for Health Technology, Technical University of Denmark, Denmark.
Marguerite BarrySchool of Information and Communication Studies, University College Dublin, Ireland.
José Marcano BelisarioSchool of Health Sciences, University of Surrey, England, United Kingdom.
Cecily MorrisonMicrosoft Research, Cambridge, England, United Kingdom.
Josip CarDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, United Kingdom.
Gavin DohertySchool of Computer Science and Statistics, Trinity College Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile technologies are valuable tools for the self-report of mental health and wellbeing. These systems pose many unique design challenges which have received considerable attention within HCI, including the engagement of users. However, less attention has been paid to the use of personal devices in public health. Integrating self-reported data within the context of clinical care suggests the need to design interfaces to support data management, sense-making, risk-assessment, feedback and patient-provider relationships. This paper reports on a qualitative design study for the clinical interface of a mobile application for the self-report of psychological wellbeing and depression during pregnancy. We examine the design tensions which arise in managing the expectations and informational needs of pregnant women, midwives, clinical psychologists, GPs and other health professionals with respect to a broad spectrum of wellbeing. We discuss strategies for managing these tensions in the design of technologies required to balance personal information with public health.

Indexed as

Data sharingDisclosureEngagementMental healthMidwiferyPerinatal depressionPregnancySelf reportWellbeing

Identifiers

PMID32127731
PMCPMC6959837

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.