Evidence map›Paper›PMID 40787921›Full record

ArticleFuture science OA2025

A new approach to the intelligent decision support system for individual hearing aid selection and acquisition.

Rolandas Drejeris, Saulius Vaitkus, Greta Minelgaite, Aurelija Kustiene, Egle Drejeriene

Abstract read
In one paragraph

Article in Future science OA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rolandas DrejerisFaculty of Bioeconomy Development, Vytautas Magnus University, Kaunas, Lithuania.ORCID 0000-0002-8104-363X
Saulius VaitkusMedicine Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Greta MinelgaiteVilniustech University, Vilnius, Lithuania.
Aurelija KustieneFaculty of Bioeconomy Development, Vytautas Magnus University, Kaunas, Lithuania.
Egle DrejerieneMedicine Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe intelligent decision support system (IDSS) is designed for patients to acquire hearing aids that better meet their needs, because they often agree to pay from their funds for a better, more customized hearing aid.

objectiveThe article aims to present the IDSS for selecting personal hearing aids in healthcare institutions.

methodsThe article proves that the SAW (simple additive waiting) multi-criteria evaluation method is the most suitable for creating the IDSS. Hearing aids are evaluated according to 12 reasonable criteria, which are differentiated into two groups. The proposed methodology is flexible, allowing for changing the significance of differentiated criteria groups.

resultsThe created IDSS system helps increase the effectiveness of choosing the best hearing aid. Even 92% of the surveyed patients positively evaluated the choice of hearing aid. This situation indicates greater patient satisfaction than usual when selecting these measures.

conclusionThe proposed IDSS is suitable for adaptation in a computer program, and such a solution greatly facilitates the selection of a hearing aid. Applying the proposed IDSS makes the choice more objective, thus better meeting patients' needs.

Indexed as

intelligent decision support systemmulti-criteria evaluationpatient satisfactionSAW methodSelection of hearing aid

Identifiers

PMID40787921
PMCPMC12341052

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.