Evidence mapPaperPMID 35930344Full record

ArticleJMIR formative research2022

Understanding Preconception Women's Needs and Preferences for Digital Health Resources: Qualitative Study.

Ruth Elizabeth Walker, Sara Quong, Patrick Olivier, Ling Wu, Jue Xie, Jacqueline Boyle

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Co-Creating Preconception Health Content for a Digital Resource for Women From Diverse Ethnic Backgrounds.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  3. Review
  4. Article
  5. Article
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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.

Ruth Elizabeth Walker *Monash Centre for Health Research and Implementation, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-1595-0178
Sara Quong *Monash Centre for Health Research and Implementation, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0002-1267-872X
Patrick Olivier *Action Lab, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0003-2841-7580
Ling Wu *Action Lab, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0001-5406-6927
Jue Xie *Action Lab, Monash University, Clayton, Australia.ORCID https://orcid.org/0000-0003-4549-1627
Jacqueline Boyle *Eastern Health Clinical School, Monash University, Box Hill, Australia.ORCID https://orcid.org/0000-0002-3616-1637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving preconception health can benefit all women, their children, and their families regardless of their individual pregnancy intentions. Rapidly increasing access to information technology and online engagement have created opportunities to use digital health resources to engage with preconception women regarding lifestyle behaviors.

objectiveThis study explores how preconception women engage with digital health resources and online platforms to inform the design and development of a digital health resource to support women to make positive behavior change for their preconception health.

methodsThis codesign research followed the Double Diamond process, which focuses on contextualization and explorative processes in phase 1 and ideation and development processes in phase 2. Phase 1 is reported on in this study and was undertaken via a series of 1-on-1 in-depth interviews with female participants (N=12) aged 18-45 years over 3 months. Interviews were designed to explore participants' lived experiences in relation to their health and desired supports for healthy lifestyle behaviors. The first interview focused on participants' perceptions of health and health behaviors, the second interview focused on social connections for health, and the third interview focused on digital health information and supports. Conversations from the first interview informed the development of the second interview, and conversations from the second interview informed the development of the third interview. Community advisors (N=8) met to provide feedback and advice to the researchers throughout the interview process. Qualitative analyses of transcripts from interviews were undertaken by 2 researchers before a deductive process identified themes mapped to the capability, opportunity, motivation, and behavior (COM-B) framework.

resultsIn total, 9 themes and 8 subthemes were identified from 124 codes. In relation to digital health resources, specifically, participants were already engaging with a range of digital health resources and had high expectations of these. Digital health resources needed to be easy to access, make women's busy lives easier, be evidence based, and be reputable. Social connectedness was also highly important to our participants, with information and advice from peers with similar experiences being preferred over yet more online health information. Online communities facilitated these social interactions. Participants were open to the idea of chatbots and virtual assistants but acknowledged that they would not replace authentic social interactions.

conclusionsCodesigned digital health resources should be evidence based, reputable, and easy to access. Social connections were considered highly important to women, and designers of digital health resources should consider how they can increase opportunities for women to connect and learn from each other to promote health behaviors.

Indexed as

behavior changedigital healthdigital health resourcehealth promotionhealthy life stylematernal healthonline health informationpreconceptionqualitative analysiswomen's health

Identifiers

PMID35930344
PMCPMC9391970

What Socratic 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 Socratic graph.