Back

From Diagnosis to Demand: Obstetric Ultrasound as a Socio-Technical Practice in Rural Pakistan

Ibrahimi, J.; Mumtaz, Z.

2026-08-10 public and global health
10.64898/2026.08.06.26359846 medRxiv
Show abstract

Background Obstetric ultrasound is an essential tool for assessing fetal growth and wellbeing. While evidence-based recommendations advise one routine scan before 24-weeks of gestation, research suggests its use in low- and middle-income countries often extends beyond medical necessity. This study examined how ultrasound technology has become integrated into antenatal practices in rural Pakistan and how cultural, economic, and institutional factors shape its use. Methods Drawing on data from two qualitative and one mixed-method studies conducted across six rural districts of Punjab, we used a pragmatic mixed-methods approach integrating latent content analysis of interviews, focus group discussions and observations with quantitative survey data. Results Ultrasound use is common, with nearly 80-percent of women reported having at least one ultrasound and many undergoing three to six scans. For some participants, ultrasound had become synonymous with antenatal care, overtaking basic tests such as blood and urine analysis. The technology was widely perceived as both diagnostic and therapeutic, with some women believing it could cure health problems. Providers, particularly in the private sector, promoted frequent scans to meet patient expectations and financial targets, while womens demand was driven by reassurance, perceived modernity, and son preference. This dynamic created a self-reinforcing supply-demand cycle in which clinical need played a secondary role. Conclusions In rural Pakistan, obstetric ultrasound has evolved into a central socio-technical feature of pregnancy care that extends far beyond its clinical purpose. These findings highlight the interplay of technology, culture, and market forces in shaping maternal health behaviors and underscore the need for context-sensitive policy responses that align ultrasound use with evidence-based care while engaging with the social realities that sustain its widespread adoption.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.