Iman Tahamtan1, Sara Pajouhanfar2, Shahram Sedghi3,4, Mohsen Azad5, Masoud Roudbari6. 1. School of Information Sciences, University of Tennessee, Knoxville, TN, USA. 2. Students Research Committee, Iran University of Medical Sciences, Tehran, Iran. 3. Department of Library and Medical Information Sciences, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. 4. Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran. 5. Department of Biostatistics, Student Research Committee, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. 6. Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Abstract
OBJECTIVES: This study aimed to acquire knowledge about the factors affecting smartphone adoption for accessing information in medical settings in Iranian Hospitals. METHODS: A qualitative and quantitative approach was used to conduct this study. Semi-structured interviews were conducted with 21 medical residents and interns in 2013 to identify determinant factors for smartphone adoption. Afterwards, nine relationships were hypothesised. We developed a questionnaire to test these hypotheses and to evaluate the importance of each factor. Structural equation modelling was used to analyse the causal relations between model parameters and to accurately identify determinant factors. RESULTS: Eight factors were identified in the qualitative phase of the study, including perceived usefulness, perceived ease of use, training, internal environment, personal experience, social impacts, observability and job related characteristics. Among the studied factors, perceived usefulness, personal experience and job related characteristics were significantly associated with attitude to use a smartphone which accounted for 64% of the variance in attitude. Perceived usefulness had the strongest impact on attitude to use a smartphone. CONCLUSION: The factors that emerged from interviews were consistent with the Technology Acceptance Model (TAM) and some previous studies. TAM is a reliable model for understanding the factors of smartphone acceptance in medical settings.
OBJECTIVES: This study aimed to acquire knowledge about the factors affecting smartphone adoption for accessing information in medical settings in Iranian Hospitals. METHODS: A qualitative and quantitative approach was used to conduct this study. Semi-structured interviews were conducted with 21 medical residents and interns in 2013 to identify determinant factors for smartphone adoption. Afterwards, nine relationships were hypothesised. We developed a questionnaire to test these hypotheses and to evaluate the importance of each factor. Structural equation modelling was used to analyse the causal relations between model parameters and to accurately identify determinant factors. RESULTS: Eight factors were identified in the qualitative phase of the study, including perceived usefulness, perceived ease of use, training, internal environment, personal experience, social impacts, observability and job related characteristics. Among the studied factors, perceived usefulness, personal experience and job related characteristics were significantly associated with attitude to use a smartphone which accounted for 64% of the variance in attitude. Perceived usefulness had the strongest impact on attitude to use a smartphone. CONCLUSION: The factors that emerged from interviews were consistent with the Technology Acceptance Model (TAM) and some previous studies. TAM is a reliable model for understanding the factors of smartphone acceptance in medical settings.
Authors: Wayne W Zachary; Pamela J Surkan; Tai Barber-Gumbs; Ylva Trolle Lagerros; Laura M Sena; Joel Gittelsohn; Larry W Chang Journal: JMIR Form Res Date: 2021-02-26