Evidence map›Paper›PMID 39625414›Full record

ArticleJMIR formative research2025

A Mindfulness-Based App Intervention for Pregnant Women: Qualitative Evaluation of a Prototype Using Multiple Case Studies.

Silvia Rizzi, Maria Chiara Pavesi, Alessia Moser, Francesca Paolazzi, Michele Marchesoni, Stefania Poggianella, Erik Gadotti, Stefano Forti

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Silvia RizziDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-8610-2432
Maria Chiara PavesiIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0002-1240-8508
Alessia MoserIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0000-2339-5859
Francesca PaolazziIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0008-8339-0134
Michele MarchesoniDigital Health Innovation Lab, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-8464-9506
Stefania PoggianellaDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0001-6271-6037
Erik GadottiIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0003-1506-4728
Stefano FortiCentre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-3471-2033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy is a complex period characterized by significant transformations. How a woman adapts to these changes can affect her quality of life and psychological well-being. Recently developed digital solutions have assumed a crucial role in supporting the psychological well-being of pregnant women. However, these tools have mainly been developed for women who already present clinically relevant psychological symptoms or mental disorders.

objectiveThis study aimed to develop a mindfulness-based well-being intervention for all pregnant women that can be delivered electronically and guided by an online assistant with wide reach and dissemination. This paper aimed to describe a prototype technology-based mindfulness intervention's design and development process for pregnant women, including the exploration phase, intervention content development, and iterative software development (including design, development, and formative evaluation of paper and low-fidelity prototypes).

methodsDesign and development processes were iterative and performed in close collaboration with key stakeholders (N=15), domain experts including mindfulness experts (n=2), communication experts (n=2), and psychologists (n=3), and target users including pregnant women (n=2), mothers with young children (n=2), and midwives (n=4). User-centered and service design methods, such as interviews and usability testing, were included to ensure user involvement in each phase. Domain experts evaluated a paper prototype, while target users evaluated a low-fidelity prototype. Intervention content was developed by psychologists and mindfulness experts based on the Mindfulness-Based Childbirth and Parenting program and adjusted to an electronic format through multiple iterations with stakeholders.

resultsAn 8-session intervention in a prototype electronic format using text, audio, video, and images was designed. In general, the prototypes were evaluated positively by the users involved. The questionnaires showed that domain experts, for instance, positively evaluated chatbot-related aspects such as empathy and comprehensibility of the terms used and rated the mindfulness traces present as supportive and functional. The target users found the content interesting and clear. However, both parties regarded the listening as not fully active. In addition, the interviews made it possible to pick up useful suggestions in order to refine the intervention. Domain experts suggested incorporating auditory components alongside textual content or substituting text entirely with auditory or audiovisual formats. Debate surrounded the inclusion of background music in mindfulness exercises, with opinions divided on its potential to either distract or aid in engagement. The target users proposed to supplement the app with some face-to-face meetings at crucial moments of the course, such as the beginning and the end.

conclusionsThis study illustrates how user-centered and service designs can be applied to identify and incorporate essential stakeholder aspects in the design and development process. Combined with evidence-based concepts, this process facilitated the development of a mindfulness intervention designed for the end users, in this case, pregnant women.

Indexed as

MindfulnessMobile ApplicationsPregnant PeopleAdultFemaleHumansPregnancyQualitative ResearchQuality of Lifedesigndevelopmentdigital healtheHealthemailinterventioninterviewmaternal healthmHealthmidwifemindfulnessmobile appsmothermultidisciplinary approachpregnancypreliminary testingpromoting well-beingtechnology-basedusabilityuser-centered designwell-beingWhatsAppwomen

Identifiers

PMID39625414
PMCPMC11786139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.