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. 2023 May 10;21(1):6.
doi: 10.1186/s12963-023-00305-x.

Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls

Alloys K'Oloo #  1 , Evance Godfrey #  2   3 , Annariina M Koivu  4 , Hellen C Barsosio  1 , Karim Manji  2   3 , Veneranda Ndesangia  3 , Fredrick Omiti  1 , Mohamed Bakari Khery  3 , Everlyne D Ondieki  1 , Simon Kariuki  1 , Feiko O Ter Kuile  5 , R Matthew Chico  6 , Nigel Klein  7 , Otto Heimonen  4 , Per Ashorn  4   8 , Ulla Ashorn  4 , Pieta Näsänen-Gilmore  9   10
Affiliations

Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls

Alloys K'Oloo et al. Popul Health Metr. .

Abstract

Background: Low birth weight (LBW) is a significant public health concern given its association with early-life mortality and other adverse health consequences that can impact the entire life cycle. In many countries, accurate estimates of LBW prevalence are lacking due to inaccuracies in collection and gaps in available data. Our study aimed to determine LBW prevalence among facility-born infants in selected areas of Kenya and Tanzania and to assess whether the introduction of an intervention to improve the accuracy of birth weight measurement would result in a meaningfully different estimate of LBW prevalence than current practice.

Methods: We carried out a historically controlled intervention study in 22 health facilities in Kenya and three health facilities in Tanzania. The intervention included: provision of high-quality digital scales, training of nursing staff on accurate birth weight measurement, recording and scale calibration practices, and quality maintenance support that consisted of enhanced supervision and feedback (prospective arm). The historically controlled data were birth weights from the same facilities recorded in maternity registers for the same calendar months from the previous year measured using routine practices and manual scales. We calculated mean birth weight (95% confidence interval CI), mean difference in LBW prevalence, and respective risk ratio (95% CI) between study arms.

Results: Between October 2019 and February 2020, we prospectively collected birth weights from 8441 newborns in Kenya and 4294 in Tanzania. Historical data were available from 9318 newborns in Kenya and 12,007 in Tanzania. In the prospective sample, the prevalence of LBW was 12.6% (95% confidence intervals [CI]: 10.9%-14.4%) in Kenya and 18.2% (12.2%-24.2%) in Tanzania. In the historical sample, the corresponding prevalence estimates were 7.8% (6.5%-9.2%) and 10.0% (8.6%-11.4%). Compared to the retrospective sample, the LBW prevalence in the prospective sample was 4.8% points (3.2%-6.4%) higher in Kenya and 8.2% points (2.3%-14.0%) higher in Tanzania, corresponding to a risk ratio of 1.61 (1.38-1.88) in Kenya and 1.81 (1.30-2.52) in Tanzania.

Conclusion: Routine birth weight records underestimate the risk of LBW among facility-born infants in Kenya and Tanzania. The quality of birth weight data can be improved by a simple intervention consisting of provision of digital scales and supportive training.

Keywords: Accuracy; Data quality; Digital scales; Low birth weight (LBW); Low- and middle-income countries (LMIC); Measurement.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Study design: a prospective intervention study with historical controls
Fig. 2
Fig. 2
Birth weight distribution in Kenya and Tanzania: prospective and historical sample
See this image and copyright information in PMC

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