Evidence map›Paper›PMID 35265139›Full record

ArticleJournal of environmental and public health2022

Increasing Awareness of Proper Disposal of Unused and Expired Medication Using a Knowledge-Based Disposal Management System.

Deemah Alshehri, Haneen Banjar

Abstract read
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. 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

2 authors.

Deemah AlshehriKing Abdulaziz and His Companions Foundation for Giftedness and Creativity (Mawhiba), Riyadh, Saudi Arabia.ORCID 0000-0003-1747-4336
Haneen BanjarComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0003-4475-4878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicines are used daily in Saudi Arabian homes. However, when these medicines are no longer needed, most people dispose of them incorrectly, forgetting the harmful impact of improper disposal. Inadequate awareness and knowledge are major reasons for improper disposal. In this study, we create a broad inclusive knowledge base that includes many types of medications available in Saudi homes and provides guidance on how to dispose of them as a means of raising awareness on correct disposal methods and preventing harmful impacts on both the environment and society. The study primarily aims to understand societal behaviour regarding the disposal of unused and expired medications and develop a prototype of a knowledge-based system that helps raise awareness of correct disposal methods for unused and expired medications. The data in the knowledge base are presented in tables that are easy to understand and comprehend, and the recommendations are also easy to apply and practice in everyday life. The results from the survey show that 66.8% of the 310 participants had unneeded medications in their homes, and only 14.9% knew how to dispose of unusable medications, while only 6.5% knew how to dispose of expired medications. Overall, the research studied Saudi society's behaviour regarding unused and expired medications, and we created a prototype of a knowledge-based system designed to increase awareness of proper disposal and management of unused and expired medications.

Indexed as

Health Knowledge, Attitudes, PracticeRefuse DisposalCross-Sectional StudiesHumansSaudi ArabiaSurveys and Questionnaires

Identifiers

PMID35265139
PMCPMC8901329

What OpenQuestion holds

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LicenceCC BY
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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.