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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study
Alloys K'Oloo1, Evance Godfrey2,3, Annariina M Koivu4
1Kenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Insights
Accurate measurement of low birth weight (LBW) is crucial for public health. An intervention using digital scales and training significantly increased LBW prevalence estimates in Kenya and Tanzania, revealing underestimation by routine methods.
Area of Science:
- Public Health
- Neonatal Health
- Health Systems Research
Background:
- Low birth weight (LBW) is a critical global health issue linked to mortality and lifelong health problems.
- Accurate LBW prevalence data is often unavailable in many countries due to data collection challenges.
- Existing data may underestimate LBW, impacting public health interventions.
Purpose of the Study:
- To determine LBW prevalence in facility-born infants in Kenya and Tanzania.
- To assess if an intervention improves birth weight measurement accuracy.
- To compare LBW estimates from intervention vs. routine practices.
Main Methods:
- A historically controlled intervention study was conducted in 25 health facilities across Kenya and Tanzania.
- The intervention involved digital scales, staff training, and quality support for prospective data collection.
- Historical data used routine practices and manual scales for comparison.
Main Results:
- Prospective LBW prevalence was 12.6% in Kenya and 18.2% in Tanzania.
- Historical LBW prevalence was 7.8% in Kenya and 10.0% in Tanzania.
- The intervention led to significantly higher LBW prevalence estimates (4.8-8.2 percentage points increase).
Conclusions:
- Routine birth weight data collection underestimates LBW risk in Kenyan and Tanzanian facilities.
- Implementing digital scales and training enhances birth weight data quality.
- Simple interventions can improve the accuracy of LBW prevalence estimates.
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.
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