Evidence map›Paper›PMID 40595682›Full record

ArticleScientific reports2025

A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

Saadeh Z Sweidan, Khalid A Darabkh, Rawan Abdalla Mohommad Afaneh

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Saadeh Z SweidanComputer Engineering Department, School of Engineering, The University of Jordan, Amman, 11942, Jordan.
Khalid A DarabkhComputer Engineering Department, School of Engineering, The University of Jordan, Amman, 11942, Jordan. k.darabkeh@ju.edu.jo.
Rawan Abdalla Mohommad AfanehComputer Engineering Department, School of Engineering, The University of Jordan, Amman, 11942, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabilities. Concurrently, smartphone applications (apps) have gained widespread popularity across diverse age groups. Today, there is an app available for nearly every aspect of daily life, from weather forecasts to online education and banking. Many of these apps are designed to assist people with disabilities, including those who use wheelchairs. Most apps related to wheelchair accessible buildings around the world provide only basic features like finding buildings, rating their accessibility features, and filtering search results. Even more, they usually don't support Arabic language which may be a challenge for the users in Arabic countries. To fill this gap, we introduce WellPathJo, as an Android application with both Arabic and English interfaces that is designed to help users identify accessible public buildings in major cities. In fact, we present a complete suite of features, no other similar app offers like the ability to add new buildings, exchange experiences between users, and even provide a chatbot to response to queries. WellPathJo includes four key accessibility features: ramps, elevators, restrooms, and parking spaces. The app caters to three user types: admins, building owners, and wheelchair users. Admins oversee the overall system, building owners update information for specific buildings, and wheelchair users can use the app to find public buildings, learn about their accessibility features, and provide feedback through ratings and comments. To assess the app's effectiveness, a survey was conducted after a one-month trial period with a group of potential users. The responses have shown general satisfaction. The chatbot was rated positively by 75%, and 80% were satisfied with community interactions. 70% felt confident using the emergency button feature. Navigation and the Arabic version of the app also received positive feedback from 85%. On the other hand, 75% rated the chatbot interface favorably, and 85% found search results accurate. Additionally, 78% felt comfortable using the app for extended periods. In conclusion, WellPathJo was well received. Looking ahead, future enhancements will incorporate artificial intelligence, support additional languages, add new accessibility features, complement new cities, and include an iOS version, among other plans.

Indexed as

Architectural AccessibilityMobile ApplicationsPersons with DisabilitiesWheelchairsCitiesHumansSmartphoneAccessible buildingsAndroid applicationArabic contentsBig cityChatbotSpecial needsWheelchair users

Identifiers

PMID40595682
PMCPMC12215684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.