Evidence map›Paper›PMID 37165380›Full record

ArticlePopulation health metrics2023

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

Alloys K'Oloo, Evance Godfrey, Annariina M Koivu, Hellen C Barsosio, Karim Manji, Veneranda Ndesangia, Fredrick Omiti, Mohamed Bakari Khery, Everlyne D Ondieki, Simon Kariuki and 7 more

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 4 countries.

Alloys K'Oloo *Kenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Evance Godfrey *Muhimbili National Hospital, Malik/Kalenga Road, P.O. Box 65000, Dar es Salaam, Tanzania.
Annariina M KoivuFaculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Arvo Ylpön katu 34, 33014, Tampere, Finland.
Hellen C BarsosioKenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Karim ManjiMuhimbili National Hospital, Malik/Kalenga Road, P.O. Box 65000, Dar es Salaam, Tanzania.
Veneranda NdesangiaMuhimbili University of Health and Allied Sciences, United Nations Rd, P.O. Box 65001, Dar es Salaam, Tanzania.
Fredrick OmitiKenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Mohamed Bakari KheryMuhimbili University of Health and Allied Sciences, United Nations Rd, P.O. Box 65001, Dar es Salaam, Tanzania.
Everlyne D OndiekiKenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Simon KariukiKenya Medical Research Institute, Centre for Global Health Research, P.O. Box 1578-40100, Kisumu, Kenya.
Feiko O Ter KuileDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
R Matthew ChicoDepartment of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
Nigel KleinUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Otto HeimonenFaculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Arvo Ylpön katu 34, 33014, Tampere, Finland.
Per AshornFaculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Arvo Ylpön katu 34, 33014, Tampere, Finland.
Ulla AshornFaculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Arvo Ylpön katu 34, 33014, Tampere, Finland.
Pieta Näsänen-GilmoreFaculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, Arvo Ylpön katu 34, 33014, Tampere, Finland. pieta.nasanen-gilmore@tuni.fi.ORCID 0000-0002-6886-4126
Kenya Medical Research Institute · KETampere University · FIMuhimbili University of Health and Allied Sciences · TZGreat Ormond Street Hospital · GBLiverpool School of Tropical Medicine · GBUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow 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.

methodsWe 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.

resultsBetween 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.

conclusionRoutine 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.

Indexed as

Birth WeightFemaleHumansInfantInfant, NewbornKenyaPregnancyProspective StudiesRetrospective StudiesTanzaniaAccuracyData qualityDigital scalesLow- and middle-income countries (LMIC)Low birth weight (LBW)Measurement

Identifiers

PMID37165380
PMCPMC10173481
OpenAlexW4376114001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.