The COVID-19 pandemic has challenged population health researchers to use remote data collection methods to avoid faceto-face interaction. A proper assessment of the feasibility of these methods in low-resource settings is lacking. We share our experience from telephone interviews conducted among pregnant women in the Rajarata Pregnancy Cohort in Sri Lanka. Among 3374 participants, 3284 (98.4%) and 496 (14.7%) had mobile and fixed-access phones respectively. During interviews, 1576 (51.9%) of participants were non-contactable. Of these, there were 157 (5.1%) wrong numbers, 889 (29.1%) were unavailable/phone switched off and 479 (15.7%) didn't answer their phone. Telephone interviews were completed only among 1438 (42.6%). Of these, 476 (33.1%) used messaging apps. In this local setting, these methods led to selection bias and inequity in health message delivery. If other ways to target vulnerable people in rural areas are not in place, the adoption of a telephone-based strategy to health message delivery may worsen health disparity during the COVID-19 pandemic. These facts aid in the planning and implementation of research and health promotion initiatives in rural areas of low-and middle-income nations throughout the world.