Evidence map›Paper›PMID 36962430›Full record

ArticlePLOS global public health2022

Collecting mortality data via mobile phone surveys: A non-inferiority randomized trial in Malawi.

Michael Chasukwa, Augustine T Choko, Funny Muthema, Mathero M Nkhalamba, Jacob Saikolo, Malebogo Tlhajoane, Georges Reniers, Boniface Dulani, Stéphane Helleringer

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Improving the measurement of adult mortality.Bulletin of the World Health Organization · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Gendered Consequences of COVID-19 for Internal Migration.Population research and policy review · 2023
    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

9 authors.

Michael ChasukwaInstitute of Public Opinion and Research, Zomba, Malawi.
Augustine T ChokoMalawi-Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0001-6095-9430
Funny MuthemaInstitute of Public Opinion and Research, Zomba, Malawi.ORCID https://orcid.org/0000-0001-8717-6655
Mathero M NkhalambaDepartment of Psychology, University of Malawi, Zomba, Malawi.
Jacob SaikoloInstitute of Public Opinion and Research, Zomba, Malawi.
Malebogo TlhajoaneProgram in Social Research and Public Policy, Division of Social Science, New York University, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0000-0002-0601-5516
Georges ReniersDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Boniface DulaniInstitute of Public Opinion and Research, Zomba, Malawi.
Stéphane HelleringerProgram in Social Research and Public Policy, Division of Social Science, New York University, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0000-0002-5921-9651

Funding

Improving the measurement of adolescent and adult mortality in low-income countriesR01HD088516 · NICHD · NEW YORK UNIVERSITY · PI HELLERINGER, STEPHANE · 2017 to 2020
$2.2M
New Survey Measures of Mortality at Older Ages in Low and Middle-Income CountriesR03AG070660 · NIA · NEW YORK UNIVERSITY · PI HELLERINGER, STEPHANE · 2021 to 2022
$112k
Gates Foundation INV-023211NIA NIH HHS R03 AG070660NICHD NIH HHS R01 HD088516
6 · The paper itself

Abstract

Despite the urgent need for timely mortality data in low-income and lower-middle-income countries, mobile phone surveys rarely include questions about recent deaths. Such questions might a) be too sensitive, b) take too long to ask and/or c) generate unreliable data. We assessed the feasibility of mortality data collection using mobile phone surveys in Malawi. We conducted a non-inferiority trial among a random sample of mobile phone users. Participants were allocated to an interview about their recent economic activity or recent deaths in their family. In the group that was asked mortality-related questions, half of the respondents completed an abridged questionnaire, focused on information necessary to calculate recent mortality rates, whereas the other half completed an extended questionnaire that also included questions about symptoms and healthcare. The primary trial outcome was the cooperation rate, i.e., the number of completed interviews divided by the number of mobile subscribers invited to participate. Secondary outcomes included self-reports of negative feelings and stated intentions to participate in future interviews. We called more than 7,000 unique numbers and reached 3,054 mobile subscribers. In total, 1,683 mobile users were invited to participate. The difference in cooperation rates between those asked to complete a mortality-related interview and those asked to answer questions about economic activity was 0.9 percentage points (95% CI = -2.3, 4.1), which satisfied the non-inferiority criterion. The mortality questionnaire was non-inferior to the economic questionnaire on all secondary outcomes. Collecting mortality data required 2 to 4 additional minutes per reported death, depending on the inclusion of questions about symptoms and healthcare. More than half of recent deaths elicited during mobile phone interviews had not been registered with the National Registration Bureau. Including mortality-related questions in mobile phone surveys is feasible. It might help strengthen the surveillance of mortality in countries with deficient civil registration systems. Registration: AEA RCT Registry, #0008065 (14 September 2021).

Identifiers

PMID36962430
PMCPMC10021539

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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.