Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija
{"title":"Covid-19大流行期间卫生专业人员对远程医疗技术的接受因素:一项定性研究","authors":"Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija","doi":"10.1049/htl2.12042","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Health professionals are the main users of telemedicine systems, and their acceptance will contribute to the successful implementation of this technology. The objective of this study is to provide a better understanding of the issues surrounding the acceptance of telemedicine technology by Moroccan health professionals in the public sector, in the preparation for a possible generalization of this technology in Morocco.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>Following a literature review, the authors mobilized a modified version of the unified model of technology acceptance and use, to explain and understand the determinants of health professionals’ intention to accept telemedicine technology. The authors’ methodology is based on a qualitative analysis and is primarily based on data obtained through semi-structured interviews with health professionals, who the authors believe are the primary actors in the acceptance of this technology within Moroccan hospitals.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The authors’ results suggest that performance expectancy, effort expectancy, compatibility, facilitating conditions, perceived incentives, and social influence have a significant positive impact on health professionals’ behavioural intention to accept telemedicine technology.</p>\n </section>\n \n <section>\n \n <h3> Practical implications</h3>\n \n <p>From a practical point of view, the results of this study can help the government, organizations responsible for the implementation of telemedicine, and policymakers to understand the key factors that may affect the behaviour of future users of this technology, and to develop very specific strategies and policies for a successful generalization.</p>\n </section>\n </div>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 1-2","pages":"23-33"},"PeriodicalIF":2.8000,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e6/b7/HTL2-10-23.PMC10107386.pdf","citationCount":"0","resultStr":"{\"title\":\"Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study\",\"authors\":\"Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija\",\"doi\":\"10.1049/htl2.12042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Health professionals are the main users of telemedicine systems, and their acceptance will contribute to the successful implementation of this technology. The objective of this study is to provide a better understanding of the issues surrounding the acceptance of telemedicine technology by Moroccan health professionals in the public sector, in the preparation for a possible generalization of this technology in Morocco.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>Following a literature review, the authors mobilized a modified version of the unified model of technology acceptance and use, to explain and understand the determinants of health professionals’ intention to accept telemedicine technology. The authors’ methodology is based on a qualitative analysis and is primarily based on data obtained through semi-structured interviews with health professionals, who the authors believe are the primary actors in the acceptance of this technology within Moroccan hospitals.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The authors’ results suggest that performance expectancy, effort expectancy, compatibility, facilitating conditions, perceived incentives, and social influence have a significant positive impact on health professionals’ behavioural intention to accept telemedicine technology.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Practical implications</h3>\\n \\n <p>From a practical point of view, the results of this study can help the government, organizations responsible for the implementation of telemedicine, and policymakers to understand the key factors that may affect the behaviour of future users of this technology, and to develop very specific strategies and policies for a successful generalization.</p>\\n </section>\\n </div>\",\"PeriodicalId\":37474,\"journal\":{\"name\":\"Healthcare Technology Letters\",\"volume\":\"10 1-2\",\"pages\":\"23-33\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e6/b7/HTL2-10-23.PMC10107386.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Healthcare Technology Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/htl2.12042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/htl2.12042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study
Objective
Health professionals are the main users of telemedicine systems, and their acceptance will contribute to the successful implementation of this technology. The objective of this study is to provide a better understanding of the issues surrounding the acceptance of telemedicine technology by Moroccan health professionals in the public sector, in the preparation for a possible generalization of this technology in Morocco.
Method
Following a literature review, the authors mobilized a modified version of the unified model of technology acceptance and use, to explain and understand the determinants of health professionals’ intention to accept telemedicine technology. The authors’ methodology is based on a qualitative analysis and is primarily based on data obtained through semi-structured interviews with health professionals, who the authors believe are the primary actors in the acceptance of this technology within Moroccan hospitals.
Results
The authors’ results suggest that performance expectancy, effort expectancy, compatibility, facilitating conditions, perceived incentives, and social influence have a significant positive impact on health professionals’ behavioural intention to accept telemedicine technology.
Practical implications
From a practical point of view, the results of this study can help the government, organizations responsible for the implementation of telemedicine, and policymakers to understand the key factors that may affect the behaviour of future users of this technology, and to develop very specific strategies and policies for a successful generalization.
期刊介绍:
Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.