Pregnant women's perceptions of antenatal care and utilisation of digital health tools in Magu District, Tanzania: a qualitative study

Sandra van Pelt*, Marit van der Pijl, Robert A. C. Ruiter, Pendo M. Ndaki, Rehema Kilimba, Laura Shields-Zeeman, John B. F. de Wit, Karlijn Massar

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Antenatal care is essential to promote maternal health. Prior research has focused on barriers women face to attending antenatal care, and improving quality of care is seen as a precondition for better attendance. Digital health tools are seen as a promising instrument to increase the quality of healthcare. It is less clear to what extent the use of digital health tools in low- and middle-income counties would be perceived as beneficial by end-users. The aim of this research was to explore women's experiences with antenatal care, and whether digital health tools would change their perceptions of quality of care. This qualitative research utilised an interpretative phenomenological approach on data from semi-structured in-depth interviews collected in 2016 with 19 randomly selected pregnant women from six different dispensaries in Magu District. Findings showed that pregnant women are motivated to attend antenatal care and are grateful for the services received. However, they also articulated a need for improvements in antenatal care services such as the availability of diagnostic tests and more interactions with healthcare workers. Participants indicated that a digital health tool could help in storing patient files and improving communication with health workers. Our results indicate that pregnant women are positive about the use of digital health tools during antenatal care but that the implementation of such a tool should be implemented in parallel to structural service delivery improvements, such as testing availability.
Original languageEnglish
Article number2236782
Number of pages16
JournalSexual and Reproductive Health Matters
Volume31
Issue number1
Early online date28 Jul 2023
DOIs
Publication statusPublished - 31 Dec 2023

Keywords

  • prenatal care
  • electronic clinical decision and support system
  • pregnant women
  • maternal health
  • quality of care
  • >
  • MOBILE HEALTH
  • MIXED METHODS
  • IMPROVEMENT
  • COUNTRIES
  • SERVICES
  • MHEALTH

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