Evidence map›Paper›PMID 41625249›Full record

ArticleJournal of toxicology2026

Household Disposal of Unused and Expired Medications: A Cross-Sectional Study on Awareness, Attitude, and Practice in Boma Health Zone, Democratic Republic of Congo, 2024.

Christian M Valuvunina, Guillaume M Kiyombo, Joël Nkiama N Konde

Abstract read
In one paragraph

Article in Journal of toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Christian M ValuvuninaDepartment of Environmental Health, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo, unikin.ac.cd.ORCID https://orcid.org/0009-0006-1569-1977
Guillaume M KiyomboSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo, unikin.ac.cd.
Joël Nkiama N KondeSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo, unikin.ac.cd.ORCID https://orcid.org/0000-0001-7191-2806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The accumulation of unused and expired medications (UEM) in households represents a growing public health and environmental concern, particularly in low-resource settings such as the Democratic Republic of Congo (DRC), where safe disposal infrastructure is limited and regulatory frameworks are weak. In the Boma Health Zone, previous environmental studies have documented pollution of the Kalamu River by solid and liquid waste, including pharmaceuticals, altering its physico-chemical and bacteriological properties. However, no systems for safe medication disposal are available to the public, and empirical data on household UEM disposal practices in the DRC are virtually nonexistent, highlighting the critical need for this research. Objective: This study assessed the knowledge, attitude, and practice (KAP) regarding UEM disposal among households in the Boma Health Zone, DRC. Methods: A community-based cross-sectional survey was conducted in April 2024 among 384 households, selected using a four-stage random sampling technique. Data were collected through face-to-face interviews using a structured questionnaire adapted from validated KAP surveys and administered via the Open Data Kit (ODK) app. Reliability was assessed using Cronbach's alpha ( Results: More than half of households (53.4%, Conclusion: Critical gaps in awareness and practice regarding UEM disposal persist in Boma, despite a willingness to engage in safer practices. Urgent, multilevel interventions are needed, including community awareness campaigns, the establishment of accessible take-back programs, and the development of a national pharmaceutical waste management policy.

Indexed as

attitudeawarenessdemocratic Republic of Congohousehold disposalpharmaceutical wastepracticepublic healthunused and expired medication

Identifiers

PMID41625249
PMCPMC12853071

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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.