ArticleInternational journal of environmental research and public health2022
Utilizing Structural Equation Modeling-Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Research hotspots and frontiers of acceptance and commitment therapy for mental disorders: a bibliometric analysis.Frontiers in psychiatry · 2025Pooled it
- Cultivating Digital Wellness: Embracing Mobile Mental Health Apps in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Actual usage assessment among cloud storage consumers in the Philippines using a machine learning ensemble approach.Scientific reports · 2024Article
- Article
- Predicting factors influencing perceived online learning experience among primary students utilizing structural equation modeling Forest Classifier approach.European review of applied psychology = Revue europeenne de psychologie appliquee · 2023Article
- Article
- Classification modeling of intention to donate for victims of Typhoon Odette using deep learning neural network.Environmental development · 2023Article
- Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19.International journal of environmental research and public health · 2023Article
- Factors Affecting Willingness to Receive Online Counseling: The Mediating Role of Ethical Concerns.International journal of environmental research and public health · 2022Article
- Article
- Socio-Economic Factors Affecting Member's Satisfaction towards National Health Insurance: An Evidence from the Philippines.International journal of environmental research and public health · 2022Article
- A Turf-Based Feature Selection Technique for Predicting Factors Affecting Human Health during Pandemic.Life (Basel, Switzerland) · 2022Article
- Strengthening Community-Based Mental Health Through Local Governance andInquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
11 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily participated in the online survey we conducted. A structural equation modeling and artificial neural network hybrid was applied to determine the perceived usability (PRU) such as the social influence (SI), service awareness (SA), technology self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEOU), convenience (CO), voluntariness (VO), user resistance (UR), intention to use (IU), and actual use (AU). Results indicate that VO had the highest score of importance, followed by CO, PEOU, SA, SE, SI, IU, PU, and ASU. Having the mobile application available and accessible made the users perceive it as highly beneficial and advantageous. This would lead to the continuous usage and patronage of the application. This result highlights the insignificance of UR. This study was the first study that considered the evaluation of mobile mental health applications. This study can be beneficial to people who have mental health disorders and symptoms, even to health government agencies. Finally, the results of this study could be applied and extended among other health-related mobile applications worldwide.
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