Evaluation of adjustment methods used to determine prevalence of low birth-weight babies at a rural hospital in Andhra Pradesh, India

• Published in: Indian journal of public health 2013-07, Vol.57 (3), p.177-180
• Main Authors: Rekha, C, Whelan, R Margaret, Reddy, Purushotham, Reddy, P Sudhakar
• Format: Article
• Language: English
• Subjects: Adjustment factor; Babies; Bias; Birth weight; Birth weight, Low; Births; Developing countries; Distribution; Health aspects; Health status indicators; Hospitals; Hospitals, Rural; Humans; Hypothesis testing; India; Infant, Low Birth Weight; Infant, Newborn; LDCs; Low birth weight; Measurement; Methods; Population; Population Surveillance - methods; Prevalence; Prevalence studies (Epidemiology); Rural areas; Rural India; Rural population; Rural Population - statistics & numerical data; Vital statistics; Weighing machines; Weight
• ISSN: 0019-557X; 2229-7693
• DOI: 10.4103/0019-557X.119828

Accurate reporting of prevalence of low birth weight (LBW) is important for monitoring health of a population. LBW is often underestimated in developing countries due to heaping of the data at 2.5 kg. UNICEF uses an average adjustment factor of 25% to re-classify babies listed as exactly 2.5 kg into the LBW category. From October 2009 to February 2010, we weighed 859 consecutive live births at a rural hospital in Andhra Pradesh, India, using analog and digital scales to evaluate the relative validity of the adjustment factor. Significantly more babies weighed exactly 2.5 kg on analog (13.4%) versus digital (2.2%) scales, showing heaping. Percentage of LBW by digital method (29.5%) was significantly higher compared to the analog method (23%) and with adjustment factors (26.4%). Conventional methods of adjusting birth-weight data underestimate the prevalence of LBW. Sensitive digital weighing machines or better adjustment methods are needed to monitor LBW in developing countries.