Evidence mapPaperPMID 39352732Full record

Trial reportJMIR human factors2024

Shaping Adoption and Sustained Use Across the Maternal Journey: Qualitative Study on Perceived Usability and Credibility in Digital Health Tools.

Wei Ying Ng, Ni Yin Lau, V Vien Lee, Smrithi Vijayakumar, Qiao Ying Leong, Shu Qin Delicia Ooi, Lin Lin Su, Yung Seng Lee, Shiao-Yng Chan, Agata Blasiak and 1 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05099900 (Exploration of Women's Experiences and Technology Usage Before, During, and After Pregnancy in Singapore), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT05099900 unknown statusnot on this map

Exploration of Women's Experiences and Technology Usage Before, During, and After Pregnancy in Singapore

TypeobservationalSponsorNational University of SingaporeRan2021 to 2022Enrolled60ConditionsPregnancy Related
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

11 authors.

Wei Ying Ng *The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-4781-6413
Ni Yin Lau *The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-2310-2523
V Vien LeeThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-0216-9032
Smrithi VijayakumarThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-3304-7636
Qiao Ying LeongThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-2369-4933
Shu Qin Delicia OoiDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-8677-0126
Lin Lin SuDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-3765-0934
Yung Seng LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-1253-0557
Shiao-Yng ChanDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-3530-3023
Agata BlasiakThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-0727-7611
Dean HoThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-7337-296X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and child health outcomes are positively influenced by early intervention, and digital health (DH) tools provide the potential for a low-cost and scalable solution such as informational platforms or digital tracking tools. Despite the wide availability of DH tools out there for women from before to after pregnancy, user engagement remains low.

objectiveThis study aims to explore the factors that shape women's DH adoption and sustained use across the maternal journey from preconception to postbirth, to improve user engagement with DH tools.

methodsOne-hour semistructured qualitative interviews were conducted with 44 women from before to after pregnancy (age range 21-40 years) about their experiences with DH. This study is part of a larger study on women's maternal experiences with health care and DH and focuses on the factors that affected women's DH adoption and sustained use. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive thematic analysis.

resultsFive main themes and 10 subthemes were identified that affected women's adoption and sustained use of DH tools. These included themes on their preexisting attitudes to DH, perceived ease of use, perceived usefulness, perceived credibility, and perceived value of the tool.

conclusionsThe themes that emerged were fully or partially mapped according to the Unified Theory of Acceptance and Use of Technology 2 model. The applicability of the model and the need to consider specific cultural nuances in the Asian context (such as the importance of trust and social influence) are discussed. The interaction of the 5 themes with DH adoption and sustained use are explored with different themes being relevant at various points of the DH adoption journey. The insights gained serve to inform future DH design and implementation of tools for women to optimize their DH engagement and the benefits they derive from it.

trial registrationClinicalTrials.gov NCT05099900; https://clinicaltrials.gov/study/NCT05099900.

Indexed as

Digital HealthMaternal HealthAdultFemaleHumansInterviews as TopicPregnancyQualitative ResearchYoung Adultconceptionfemtechmaternal and child healthmaternal careobstetric careperinatal carepostpartumpregnancyUnified Theory of Acceptance and Use of Technologyuser engagement

Identifiers

PMID39352732
PMCPMC11480679

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.