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This paper is in the following e-collection/theme issue:

Design and Usability of Medical Devices (204) Digital Health, Telehealth and e-Innovation in Clinical Settings (681) Obstetrics, Gynecology, and Reproductive Medicine (400) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (949) Health Services in Resource-Poor Settings and LMICs (658) Pregnancy Information, Education and Lifestyle Interventions (465)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34823, first published .
Portable ultrasound probe connected to a tablet displaying an ultrasound image.

Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study

Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study

Authors of this article:

Angela Koech1, 2 Author Orcid Image ;   Peris Muoga Musitia1, 3 Author Orcid Image ;   Grace Mkanjala Mwashigadi1 Author Orcid Image ;   Mai-Lei Woo Kinshella4 Author Orcid Image ;   Marianne Vidler4 Author Orcid Image ;   Marleen Temmerman1, 2 Author Orcid Image ;   Rachel Craik5, 6 Author Orcid Image ;   Peter von Dadelszen6 Author Orcid Image ;   J Alison Noble7 Author Orcid Image ;   Aris T Papageorghiou5, 8 Author Orcid Image ;   The PRECISE Network9
Article Authors Cited by (10) Tweetations (10) Metrics

Journals

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  2. Self A, Schlussel M, Collins G, Dhombres F, Fries N, Haddad G, Salomon L, Massoud M, Papageorghiou A. External validation of models to estimate gestational age in the second and third trimester using ultrasound: A prospective multicentre observational study. BJOG: An International Journal of Obstetrics & Gynaecology 2024;131(13):1862 View
  3. Ginsburg A, Liddy Z, Alkan E, Matcheck K, May S. A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries. Scientific Reports 2025;15(1) View
  4. Craik R, Akuze J, Volvert M, Blencowe H, Mukhanya M, Makanga P, Tchavana C, Moore S, Vala A, Koech A, Tribe R, Noble A, Bah B, D’Alessandro U, Vidler M, Tu D, Maculuve S, Wanje O, Idris Y, Mwashigadi G, Ochieng M, Filippi V, Roca A, Magee L, Poston L, Mistry H, Bah Y, Li J, Temmerman M, Sevene E, Jah H, Mwadime E, Barratt B, Papageorghiou A, Makacha L, Quimice L, Touray F, Salisbury T, Kongira F, von Dadelszen P. PREgnancy Care Integrating translational Science, Everywhere (PRECISE): a prospective cohort study of African pregnant and non-pregnant women to investigate placental disorders – cohort profile. BMJ Open 2025;15(5):e091831 View
  5. Murray L, Montague E. Factors Influencing Trust in Artificial Intelligence Interventions in Healthcare: A Rapid Review. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2025;14(1):44 View
  6. Ferrarini F, Leonelli S. Risks and benefits posed by artificial intelligence to workers’ mental health: a systematic literature review. Industrial Management & Data Systems 2026;126(7):2179 View
  7. Peterson A, Bou-Nehme C, Grace B. Digital innovation beyond mHealth: a systematic review of digital health technologies in women's health. The Lancet Obstetrics, Gynaecology, & Women's Health 2026;2(3):e249 View
  8. Butnariu A, Ispas G, Fehér L, Bejenaru A, Coca O, Ștefan G. Emerging Technologies in Rural Development: A Scoping Review of Current Knowledge. Agriculture 2026;16(10):1081 View
  9. Mndolo N, Baluwa M, Yeboa N, Kazembe A, Chirwa E. Acceptability of Modified Early Obstetric Warning Systems Among Midwives in Malawi; An Exploratory Qualitative Study. International Journal of Women's Health 2026;Volume 18:1 View
  10. Mwashigadi G, Akuze J, Koech A, Jah H, Roca A, D'Alessandro U, Sevene E, Maculuve S, Valá A, Singh S, Atkins B, Omuse G, Mukhanya M, Volvert M, Magee L, Craik R, Temmerman M, von Dadelszen P, Blencowe H, D’Alessandro U, Prentice A, Martinez-Alvarez M, Diallo B, Sesay A, Suso S, Njie B, Touray F, Idris Y, Kongira F, Ndure M, Gibba L, Bah A, Bah Y, Abubakar A, Waljee A, Okiro P, Mwashigadi G, Juma C, Mutunga J, Wanje O, Mwaniki I, Ochieng M, Mwadime E, Tchavana C, Macuacua S, Vala A, Boene H, Quimice L, Mandomando I, Magee L, Mistry H, Mendy T, Russell D, Makanga P, Makacha L, Mlambo R, Poston L, Tribe R, Moore S, Salisbury T, Papageorghiou A, Noble A, Filippi V, Lawn J, Silver M, Gazeley U, Cartwright J, Whitley G, Krishna S, Vidler M, Li J, Bone J, Kinshella M, Tu D, Sandhu A, Pickerill K, Carillho C, Barratt B. Incidence and risk factors for stillbirth in Kenya, Mozambique and the Gambia: the PRECISE cohort study. The Lancet Regional Health - Africa 2026:100089 View