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Effect of birthweight measurement quality improvement on low birthweight prevalence in rural Ethiopia

Authors :
Amare Worku
Fisseha Shiferie
Workagegnehu Tarekegn Kidane
Sheila Isanaka
Estifanos Baye
Michelle Eglovitch
Luke C. Mullany
Mulatu Melese Derebe
Sitota Tsegaye
Grace J Chan
Blair J. Wylie
Firehiwot Workneh Abate
Tigest Shifraw
Ingrid E. Olson
Rose L. Molina
Yemane Berhane
Kalkidan Yibeltal
Anne C C Lee
Alemayehu Worku
Source :
Population Health Metrics, Population Health Metrics, Vol 19, Iss 1, Pp 1-7 (2021)
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Background Low birthweight (LBW) ( Methods A comparative pre-post study was performed in selected rural health facilities located in West Gojjam and South Gondar zones. At baseline, a retrospective review of delivery records from February to May 2018 was performed in 14 health centers to collect birthweight data. A birthweight QI initiative was introduced in August 2019, which included provision of high-quality digital infant weight scales (precision 5 g), routine calibration, training in birth weighing and data recording, and routine field supervision. After the QI implementation, birthweight data were prospectively collected from late August to early September 2019, and December 2019 to June 2020. Data quality, as measured by heaping (weights at exact multiples of 500 g) and rounding to the nearest 100 g, and the prevalence of LBW were calculated before and after QI implementation. Results We retrospectively reviewed 1383 delivery records before the QI implementation and prospectively measured 1371 newborn weights after QI implementation. Heaping was most frequently observed at 3000 g and declined from 26% pre-initiative to 6.7% post-initiative. Heaping at 2500 g decreased from 5.4% pre-QI to 2.2% post-QI. The percentage of rounding to the nearest 100 g was reduced from 100% pre-initiative to 36.5% post-initiative. Before the QI initiative, the prevalence of recognized LBW was 2.2% (95% confidence interval [CI]: 1.5–3.1) and after the QI initiative increased to 11.7% (95% CI: 10.1–13.5). Conclusions A QI intervention can improve the quality of birthweight measurements, and data measurement quality may substantially affect estimates of LBW prevalence.

Details

ISSN :
14787954
Volume :
19
Database :
OpenAIRE
Journal :
Population Health Metrics
Accession number :
edsair.doi.dedup.....fa3b63bf874ec29fc3b91d8057ce150d
Full Text :
https://doi.org/10.1186/s12963-021-00265-0