Purpose: Telehealth, Internet interventions, or digital apps provide healthcare to isolated regions and can span borders. The purpose of this research was to assess the use of the Seha application, public perceptions toward the application, and factors that affect its utilization. Methods: The cross-sectional method was used to analyze the quantitative data. Grounded Theory was used to analyze the qualitative data. This study was conducted from December 1, 2018, to January 31, 2019. A total of 419 participants were surveyed online, and semi-structured interviews were conducted for 20 participants. The participants were chosen based on convenience sampling techniques. The survey contained two sections. The first section consisted of demographic data and the second section included eight questions, each covering one main aspect. For the qualitative approach, participants were chosen using a theoretical sampling technique. Researchers acted as the primary data collection instrument. Results: Out of the total, 88.5% of the participants did not use "Seha" application. Among users, the main perceived benefit from the application was the ability to contact a general practitioner anytime. Among non-users, the greatest barrier to use was the lack of awareness about it, while the ability to contact a general practitioner any time (25%) and reducing visits to the doctor (23%) were the top motivations. A conceptual framework was developed to define the different aspects affecting the use of the online medical consultation application. These aspects included awareness and education, technical issues, access, and consultation information. Conclusion: Public awareness and education about the application, as well as the integration of its functions with other healthcare systems were the main recommendations suggested. Implementing these recommendations is encouraged to deliver value to e-health initiatives in Saudi Arabia.
Purpose: Telehealth, Internet interventions, or digital apps provide healthcare to isolated regions and can span borders. The purpose of this research was to assess the use of the Seha application, public perceptions toward the application, and factors that affect its utilization. Methods: The cross-sectional method was used to analyze the quantitative data. Grounded Theory was used to analyze the qualitative data. This study was conducted from December 1, 2018, to January 31, 2019. A total of 419 participants were surveyed online, and semi-structured interviews were conducted for 20 participants. The participants were chosen based on convenience sampling techniques. The survey contained two sections. The first section consisted of demographic data and the second section included eight questions, each covering one main aspect. For the qualitative approach, participants were chosen using a theoretical sampling technique. Researchers acted as the primary data collection instrument. Results: Out of the total, 88.5% of the participants did not use "Seha" application. Among users, the main perceived benefit from the application was the ability to contact a general practitioner anytime. Among non-users, the greatest barrier to use was the lack of awareness about it, while the ability to contact a general practitioner any time (25%) and reducing visits to the doctor (23%) were the top motivations. A conceptual framework was developed to define the different aspects affecting the use of the online medical consultation application. These aspects included awareness and education, technical issues, access, and consultation information. Conclusion: Public awareness and education about the application, as well as the integration of its functions with other healthcare systems were the main recommendations suggested. Implementing these recommendations is encouraged to deliver value to e-health initiatives in Saudi Arabia.
Authors: Nicol Nijland; Julia E W C van Gemert-Pijnen; Henk Boer; Michaël F Steehouder; Erwin R Seydel Journal: Int J Med Inform Date: 2009-07-21 Impact factor: 4.046
Authors: Michael Krausz; Jean Nicolas Westenberg; Daniel Vigo; Richard Trafford Spence; Damon Ramsey Journal: JMIR Public Health Surveill Date: 2020-05-15
Authors: Nicol Nijland; Julia van Gemert-Pijnen; Henk Boer; Michaël F Steehouder; Erwin R Seydel Journal: J Med Internet Res Date: 2008-05-15 Impact factor: 5.428