Evidence map›Paper›PMID 40888227›Full record

ArticleTropical medicine & international health : TM & IH2025

Measuring childhood mortality through mobile phone interviews in Mozambique.

Almamy Malick Kante, Cremildo Manhica, Akum Aveika, Azarias Mulungo, Fred Van Dyk, Nordino Machava, Helen Kuo, Charfudin Saccor, Dustin G Gibson, Celso Monjane and 3 more

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Measuring childhood mortality through mobile phone interviews in Mozambique.Tropical medicine & international health : TM & IH · 2025
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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

13 authors.

Almamy Malick KanteDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-0522-8798
Cremildo ManhicaInstituto Nacional de Saúde, Maputo, Mozambique.
Akum AveikaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Azarias MulungoInstituto Nacional de Saúde, Maputo, Mozambique.
Fred Van DykDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Nordino MachavaInstituto Nacional de Saúde, Maputo, Mozambique.
Helen KuoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Charfudin SaccorCentro de Investigação em Saude de Manhiça (CISM), Maputo, Mozambique.
Dustin G GibsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Celso MonjaneInstituto Nacional de Saúde, Maputo, Mozambique.
Robert E BlackDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ivalda MacicameInstituto Nacional de Saúde, Maputo, Mozambique.
Agbessi AmouzouDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Gates Foundation INV-023211
6 · The paper itself

Abstract

objectivesChildhood mortality is a key indicator of progress in health and development in low- and middle-income countries, traditionally measured through household surveys with face-to-face interviews. This study explored an alternative approach that used mobile phone interviews with women in Mozambique.

methodsUsing two sampling approaches, we interviewed women of reproductive age about their pregnancy history through mobile phones. The first method used an existing database of phone numbers collected from a national mortality surveillance, Countrywide Mortality Surveillance for Action (COMSA). The second employed random digit dialling (RDD) to generate phone numbers. The COMSA phone sample successfully reached 13,545 women while the RDD sample reached 10,359 women. We compared neonatal (NMR), infant (IMR) and under-five mortality rates (U5MR) to estimates from the United Nations (UN), COMSA and the 2022 Demographic and Health Survey (DHS). The mobile phone-based mortality rates were adjusted using the raking approach.

resultsThe mobile phone interviews incorporating pregnancy history yielded recent childhood mortality rates comparable to those reported by the DHS. The 2020-2021 U5MRs were estimated at 59.3 (95% confidence interval [95% CI]: 41.9-76.7) in the COMSA phone sample and 44.9 (95% CI: 9.0-80.7) in the RDD sample, compared to 59.6 (95% CI: 53.7-65.6) in the DHS. These estimates were lower than the UN projections at 71.6 (95% CI: 65.5-87.1) and COMSA at 80.0 (95% CI: 69.0-91.0). We observed similar trends for NMR and IMR. Childhood mortality trends were comparable between the COMSA phone sample and the DHS sample. In contrast, the RDD sample appeared to consistently underestimate childhood mortality compared to the other samples.

conclusionMobile phone surveys, including standard full pregnancy history tools, produced recent childhood mortality levels and trends for national and subnational levels similar to face-to-face approaches such as the DHS.

Indexed as

Cell PhoneChild MortalityInfant MortalityInterviews as TopicAdolescentAdultChild, PreschoolFemaleHealth SurveysHumansInfantInfant, NewbornMozambiquePregnancyYoung Adultchildhood mortalitycountrywide mortality surveillance for actionfull pregnancy historymobile phone surveysMozambiquerandom digit dialling

Identifiers

PMID40888227
PMCPMC12501560

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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.