Evidence map›Paper›PMID 37378052›Full record

ArticleIntegrated pharmacy research & practice2023

A Framework for Locating Prescribed Medication at Pharmacies.

Matiwos Tekalign Wondmagegn, Evarist Nabaasa, Endashaw Amsalu Melesse, Ewunate Assaye Kassaw

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Article in Integrated pharmacy research & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Matiwos Tekalign WondmagegnDepartment of Biomedical Engineering, Institute of Technology, University of Gondar, Gondar, Ethiopia.
Evarist NabaasaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.
Endashaw Amsalu MelesseABH partners PLC, Addis Ababa, Ethiopia.
Ewunate Assaye KassawDepartment of Biomedical Engineering, Institute of Technology, University of Gondar, Gondar, Ethiopia.ORCID 0000-0003-2323-2114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Accessibility of available medication at pharmacies is one of the core problems in the health sector of developing countries. The mechanism for optimally accessing the available drugs in pharmacies is unclear. Usually, patients in need are compelled to haphazardly switch between pharmacies in search of their prescription medications due to lack of information about the locations of pharmacies with required drug. Objective: The primary objective of this study is to develop a framework that will simplify the process of identifying and locating nearest pharmacy when searching for prescribed medications. Methods: Primary constraints (distance, drug cost, travel time, travel cost, opening and closing hours of pharmacies) in accessing required prescribed medications from pharmacies were identified from literature, and the client's and pharmacies' latitude and longitude coordinates were used to find the nearest pharmacies that have the required prescribed medication in stock. Results: The framework with web application was developed and tested on simulated patients and pharmacies and was successful in optimizing the identified constraints. Discussions: The framework will potentially reduce patient expenses and prevent delays in obtaining medication. It will also contribute for future pharmacy and e-Health information systems.

Indexed as

constraintdrugnearest pharmacy

Identifiers

PMID37378052
PMCPMC10292612

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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.