A hierarchical framework to evaluate the usability of smartphone health applications

In the current age of digitalization, smartphone health applications are rapidly increasing. It could be of great help for society to use health apps for regular monitoring of health instead of personally visiting medical consultants. Several health apps exist but their utilization is low mainly owing to usability problems. To enhance usage, it is essential to identify the key parameters that significantly affect the usability of health apps. This insight can help in developing an evaluation model for their usability. Although numerous usability models exist but these models often overlook critical usability aspects such as trust, security, response time and interruptibility and diverse stakeholder needs specific to health apps. This research emphasized identifying and prioritizing usability parameters of health apps using a hierarchical model. First, to determine the key parameters influencing the usability of health apps, a thorough analysis of relevant literature was carried out. Secondly, only the parameters with the most significant effects among the recognized ones were considered. A survey was conducted to identify the key usability parameters. The survey instrument was distributed among 195 subjects, including medical doctors, pharmacists, paramedical staff, medical students, designers of health apps, and the general public. Lastly, a second instrument was used with 49 participants to conduct pairwise comparisons among the parameters and sub-parameters, ranking them according to their relative importance. The identified and prioritized sub-parameters were grouped into four major categories. Among these, efficiency was recognized as the key criterion while effectiveness was considered the least significant criterion. The comparison revealed that the proposed model is more comprehensive regarding usability than existing models.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-22
DOI
https://doi.org/10.1038/s41598-025-32910-1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A hierarchical framework to evaluate the usability of smartphone health applications

Jamal M. Hussien, Shabbab Ali Algamdi, Qudsia Sajjad, Basit Shahzad et al.
Scientific Reports
Mobile Health and mHealth Applications
article

A hierarchical framework to evaluate the usability of smartphone health applications

Jamal M. Hussien, Shabbab Ali Algamdi, Qudsia Sajjad, Basit Shahzad, Ansar Siddique
article en

Abstract

In the current age of digitalization, smartphone health applications are rapidly increasing. It could be of great help for society to use health apps for regular monitoring of health instead of personally visiting medical consultants. Several health apps exist but their utilization is low mainly owing to usability problems. To enhance usage, it is essential to identify the key parameters that significantly affect the usability of health apps. This insight can help in developing an evaluation model for their usability. Although numerous usability models exist but these models often overlook critical usability aspects such as trust, security, response time and interruptibility and diverse stakeholder needs specific to health apps. This research emphasized identifying and prioritizing usability parameters of health apps using a hierarchical model. First, to determine the key parameters influencing the usability of health apps, a thorough analysis of relevant literature was carried out. Secondly, only the parameters with the most significant effects among the recognized ones were considered. A survey was conducted to identify the key usability parameters. The survey instrument was distributed among 195 subjects, including medical doctors, pharmacists, paramedical staff, medical students, designers of health apps, and the general public. Lastly, a second instrument was used with 49 participants to conduct pairwise comparisons among the parameters and sub-parameters, ranking them according to their relative importance. The identified and prioritized sub-parameters were grouped into four major categories. Among these, efficiency was recognized as the key criterion while effectiveness was considered the least significant criterion. The comparison revealed that the proposed model is more comprehensive regarding usability than existing models.

Scientific ReportsVol. 16(1)
Information Technology University (PK), Prince Sultan University (SA), Prince Sattam Bin Abdulaziz University (SA), Islamic University of Madinah (SA), Bahria University (PK), University of Gujrat (PK)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 83%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.