Evidence map›Paper›PMID 37747874›Full record

ArticlePLOS global public health2023

Acceptability of minimally invasive autopsy by community members and healthcare workers in Siaya and Kisumu counties, western Kenya, 2017-2018.

Peter Otieno, Victor Akelo, Sammy Khagayi, Richard Omore, Kelvin Akoth, Maryanne Nyanjom, Sara Ngere, Ken Ochola, Maria Maixenchs, Ahoua Kone and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. 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
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Implementation of post-mortem examinations within a large population-based cohort: results from the Hamburg City Health Study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  3. Article
  4. Article
  5. 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

13 authors at 4 institutions in 3 countries.

Peter OtienoKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0002-2668-1428
Victor AkeloU.S. Centers for Disease Control and Prevention, Kisumu, Kenya.
Sammy KhagayiKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Richard OmoreKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Kelvin AkothKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0003-3464-8588
Maryanne NyanjomKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0002-9561-8342
Sara NgereKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Ken OcholaKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Maria MaixenchsIS Global, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-5782-8197
Ahoua KoneEmory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-8698-1940
John BlevinsEmory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0003-0926-6633
Emily Zielinski-GutierrezU.S. Centers for Disease Control and Prevention, Kisumu, Kenya.
Beth A Tippett BarrU.S. Centers for Disease Control and Prevention, Kisumu, Kenya.ORCID https://orcid.org/0000-0001-5877-2968
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · KEEmory University · USBarcelona Institute for Global Health · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide, nearly six million children under the age of five (<5s) die annually, a substantial proportion of which are due to preventable and treatable diseases. Efforts to reduce child mortality indicators in the most affected regions are often undermined by a lack of accurate cause of death data. To generate timely and more accurate causes of death data for <5s, the Child Health and Mortality Prevention Surveillance (CHAMPS) Network established mortality surveillance in multiple countries using Minimally Invasive Tissue Sampling (MITS) in <5 deaths. Here we present acceptability of MITS by community members and healthcare workers in Siaya and Kisumu counties, western Kenya. From April 2017 to February 2018, we conducted 40 in-depth interviews and five focus group discussions with healthcare workers and community members, before and during CHAMPS implementation. Participants were purposively selected. Field observations to understand traditional death-related practices were also performed. Interviews were transcribed into Nvivo 11.0 for data organization and management. Analysis was guided by the grounded theory approach. Facilitators of acceptability were desire to understand why death occurred, timely performance of MITS procedures, potential for MITS results in improving clinical practice and specific assistance provided to families by the CHAMPS program. However, cultural and religious beliefs highlighted important challenges to acceptability, including CHAMPS teams recruiting after a child's death, rumours and myths, unmet expectations from families, and fear by healthcare workers that some families could use MITS results to sue for negligence. Increasing MITS uptake requires sustained strategies to strengthen the identified facilitators of acceptability and simultaneously address the barriers. MITS acceptance will contribute to better characterization of causes of death and support the development of improved interventions aimed at reducing <5 mortality.

Identifiers

PMID37747874
PMCPMC10519588
OpenAlexW4387025202

What OpenQuestion holds

Textmetadata
LicenceCC0
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.