Awareness, Knowledge, Attitude, and Skills

Background: This study aimed to determine the rate of telemedicine (TM) use and the levels of awareness, knowledge, attitude, and skills of TM among primary healthcare (PHC) providers. Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey....

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Veröffentlicht in:International journal of general medicine 2024-03, Vol.17, p.1047
Hauptverfasser: Barnawi, Najla A, Alqahtani, Saad Mohammed, Bushnak, Ibraheem A, Al-Otaibi, Hazza, Alajlan, Mohammed A, Alajlan, Renad A, Alay, Saeed M, Abolfotouh, Mostafa A, Alkhudairy, Abdulaziz I
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container_title International journal of general medicine
container_volume 17
creator Barnawi, Najla A
Alqahtani, Saad Mohammed
Bushnak, Ibraheem A
Al-Otaibi, Hazza
Alajlan, Mohammed A
Alajlan, Renad A
Alay, Saeed M
Abolfotouh, Mostafa A
Alkhudairy, Abdulaziz I
description Background: This study aimed to determine the rate of telemedicine (TM) use and the levels of awareness, knowledge, attitude, and skills of TM among primary healthcare (PHC) providers. Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low ([less than or equal to] 49% score), average (50-70% score), and high ([greater than or equal to] 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p
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Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low ([less than or equal to] 49% score), average (50-70% score), and high ([greater than or equal to] 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p&lt;0.05. Results: One-half of participants (51%) reported current use of TM, and two-thirds (63.5%) reported a high level of AKAS, with a PMS of 72.9[+ or -]14.7, 95% CI: 70.1-75.7. There were significant associations between the following: years of experience and levels of knowledge ([X.sup.2.sub.LT] = 6.77, p= 0.009) and skills ([X.sup.2.sub.LT] = 4.85, p = 0.028), respectively; and total household income and levels of skills ([X.sup.2.sub.LT] = 6.91, p= 0.009). The rate of TM use was significantly associated with awareness levels ([X.sup.2.sub.LT] = 6.14, p = 0.013). Lack of training ranked as the first barrier (45.5%), followed by connection problems and tools' unavailability (35.1% each). The participants recommended providing TM training (41.1%) and stabilization of connection and networking signals (30.1%). Conclusion: Despite their high level of TM awareness, the rate of TM use by PHC providers is less than satisfactory. Establishing standardized TM training and supporting the network signals are recommended. A large-scale study on the impact of TM integration with PHC services is necessary. Keywords: telehealth, telecommunication, e-medicine, e-health integration, universal health coverage, Saudi, PHCs</description><identifier>ISSN: 1178-7074</identifier><identifier>EISSN: 1178-7074</identifier><language>eng</language><publisher>Dove Medical Press Limited</publisher><subject>Health care industry ; Medical informatics ; National health insurance ; Primary health care ; Telemedicine</subject><ispartof>International journal of general medicine, 2024-03, Vol.17, p.1047</ispartof><rights>COPYRIGHT 2024 Dove Medical Press Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Barnawi, Najla A</creatorcontrib><creatorcontrib>Alqahtani, Saad Mohammed</creatorcontrib><creatorcontrib>Bushnak, Ibraheem A</creatorcontrib><creatorcontrib>Al-Otaibi, Hazza</creatorcontrib><creatorcontrib>Alajlan, Mohammed A</creatorcontrib><creatorcontrib>Alajlan, Renad A</creatorcontrib><creatorcontrib>Alay, Saeed M</creatorcontrib><creatorcontrib>Abolfotouh, Mostafa A</creatorcontrib><creatorcontrib>Alkhudairy, Abdulaziz I</creatorcontrib><title>Awareness, Knowledge, Attitude, and Skills</title><title>International journal of general medicine</title><description>Background: This study aimed to determine the rate of telemedicine (TM) use and the levels of awareness, knowledge, attitude, and skills of TM among primary healthcare (PHC) providers. Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low ([less than or equal to] 49% score), average (50-70% score), and high ([greater than or equal to] 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p&lt;0.05. Results: One-half of participants (51%) reported current use of TM, and two-thirds (63.5%) reported a high level of AKAS, with a PMS of 72.9[+ or -]14.7, 95% CI: 70.1-75.7. There were significant associations between the following: years of experience and levels of knowledge ([X.sup.2.sub.LT] = 6.77, p= 0.009) and skills ([X.sup.2.sub.LT] = 4.85, p = 0.028), respectively; and total household income and levels of skills ([X.sup.2.sub.LT] = 6.91, p= 0.009). The rate of TM use was significantly associated with awareness levels ([X.sup.2.sub.LT] = 6.14, p = 0.013). Lack of training ranked as the first barrier (45.5%), followed by connection problems and tools' unavailability (35.1% each). The participants recommended providing TM training (41.1%) and stabilization of connection and networking signals (30.1%). Conclusion: Despite their high level of TM awareness, the rate of TM use by PHC providers is less than satisfactory. Establishing standardized TM training and supporting the network signals are recommended. A large-scale study on the impact of TM integration with PHC services is necessary. 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Methods: In a cross-sectional study, 104 PHC providers were subjected to a validated AKAS scale via Survey Monkey. The tool consists of 4 parameters that users can respond to using a 4-point Likert scale to assess their awareness (12 statements), knowledge (11 statements), attitude (11 statements), and skills (13 statements) on TM. Total and percentage mean scores (PMS) were calculated for each parameter. Participants were categorized in each parameter into three categories: low ([less than or equal to] 49% score), average (50-70% score), and high ([greater than or equal to] 71% score) levels. The association of AKAS levels with personal characteristics and TM use was investigated. The significance was set at p&lt;0.05. Results: One-half of participants (51%) reported current use of TM, and two-thirds (63.5%) reported a high level of AKAS, with a PMS of 72.9[+ or -]14.7, 95% CI: 70.1-75.7. There were significant associations between the following: years of experience and levels of knowledge ([X.sup.2.sub.LT] = 6.77, p= 0.009) and skills ([X.sup.2.sub.LT] = 4.85, p = 0.028), respectively; and total household income and levels of skills ([X.sup.2.sub.LT] = 6.91, p= 0.009). The rate of TM use was significantly associated with awareness levels ([X.sup.2.sub.LT] = 6.14, p = 0.013). Lack of training ranked as the first barrier (45.5%), followed by connection problems and tools' unavailability (35.1% each). The participants recommended providing TM training (41.1%) and stabilization of connection and networking signals (30.1%). Conclusion: Despite their high level of TM awareness, the rate of TM use by PHC providers is less than satisfactory. Establishing standardized TM training and supporting the network signals are recommended. A large-scale study on the impact of TM integration with PHC services is necessary. Keywords: telehealth, telecommunication, e-medicine, e-health integration, universal health coverage, Saudi, PHCs</abstract><pub>Dove Medical Press Limited</pub></addata></record>
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subjects Health care industry
Medical informatics
National health insurance
Primary health care
Telemedicine
title Awareness, Knowledge, Attitude, and Skills
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