Patient Satisfaction with the Mawiidi Hospital Appointment Scheduling Application: Insights from the Information Systems Success Model and Technology Acceptance Model in a Moroccan Healthcare Setting

This article aims to find the determinants that affect patient satisfaction regarding the Mawiidi public portal in Moroccan public hospitals and assess its outpatient online booking system effectiveness using a model that integrates the Technology Acceptance Model (TAM) with the Information Systems Success Model (ISSM) while adopting a quantitative research methodology. The analysis was conducted using 348 self-administered questionnaires to analyze eight key constructs, such as information quality, patient satisfaction, perceived ease of use, and privacy protection, among others. The results of PLS-SEM verified six out of eleven hypotheses tested, which reflected that information quality has a positive influence on perceived ease of use, which again enhances patient satisfaction. The major factors influencing the satisfaction and trust of patients in online appointment scheduling systems at public hospitals are highlighted. Indeed, privacy protection enhances patient satisfaction and trust. Service quality positively affects satisfaction but to a lesser degree. Website-related anxiety impacts perceived ease of use, although it has a limited influence on satisfaction. Such findings can inform suggestions for the managers of hospitals and portal designers to increase user satisfaction. This study uses a model from the TAM and ISSM frameworks, including cultural and socioeconomic aspects that apply to Morocco’s healthcare context.

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Publication Details

Journal
Big Data and Cognitive Computing
Published
2024-12-03
DOI
https://doi.org/10.3390/bdcc8120180
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
3.15
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article

Patient Satisfaction with the Mawiidi Hospital Appointment Scheduling Application: Insights from the Information Systems Success Model and Technology Acceptance Model in a Moroccan Healthcare Setting

Abdelaziz Ouajdouni, Khalid Chafik, Soukaina Allioui, Mourad Jbene
3 citations
Big Data and Cognitive Computing
Technology Adoption and User Behaviour
3.15
article

Patient Satisfaction with the Mawiidi Hospital Appointment Scheduling Application: Insights from the Information Systems Success Model and Technology Acceptance Model in a Moroccan Healthcare Setting

Abdelaziz Ouajdouni, Khalid Chafik, Soukaina Allioui, Mourad Jbene
article en
3 citations

Abstract

This article aims to find the determinants that affect patient satisfaction regarding the Mawiidi public portal in Moroccan public hospitals and assess its outpatient online booking system effectiveness using a model that integrates the Technology Acceptance Model (TAM) with the Information Systems Success Model (ISSM) while adopting a quantitative research methodology. The analysis was conducted using 348 self-administered questionnaires to analyze eight key constructs, such as information quality, patient satisfaction, perceived ease of use, and privacy protection, among others. The results of PLS-SEM verified six out of eleven hypotheses tested, which reflected that information quality has a positive influence on perceived ease of use, which again enhances patient satisfaction. The major factors influencing the satisfaction and trust of patients in online appointment scheduling systems at public hospitals are highlighted. Indeed, privacy protection enhances patient satisfaction and trust. Service quality positively affects satisfaction but to a lesser degree. Website-related anxiety impacts perceived ease of use, although it has a limited influence on satisfaction. Such findings can inform suggestions for the managers of hospitals and portal designers to increase user satisfaction. This study uses a model from the TAM and ISSM frameworks, including cultural and socioeconomic aspects that apply to Morocco’s healthcare context.

Big Data and Cognitive ComputingVol. 8(12)
Abdelmalek Essaâdi University (MA), Hassania School of Public Works (MA)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
3.15
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