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Tele-pharmacy perception, knowledge and associated factors among pharmacy students in northwest Ethiopia: an input for implementers
Tele-pharmacy is a subset of telemedicine in which pharmacies use telecommunication technology to provide patient care. Tele-pharmacy can improve pharmaceutical care service delivery by reducing medication errors, improving access to health professionals and facilities in remote and rural areas, and...
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Published in: | BMC medical education 2023-02, Vol.23 (1), p.130-130, Article 130 |
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creator | Tegegne, Masresha Derese Wubante, Sisay Maru Melaku, Mequannent Sharew Mengiste, Nebyu Demeke Fentahun, Ashenafi Zemene, Wondwossen Zeleke, Tirualem Walle, Agmasie Damtew Lakew, Getnet Tadesse Tareke, Yonas Tsegaw Abdi, Mubarek Suleman Alemayehu, Hawariyat Mamuye Girma, Eskedar Menkir Tilahun, Gizaw Getye Demsash, Addisalem Workie Dessie, Hiwote Simane |
description | Tele-pharmacy is a subset of telemedicine in which pharmacies use telecommunication technology to provide patient care. Tele-pharmacy can improve pharmaceutical care service delivery by reducing medication errors, improving access to health professionals and facilities in remote and rural areas, and minimizing adverse drug events. However, there is limited evidence regarding future pharmacists' knowledge and perceptions of the Tele-pharmacy system in Ethiopia. As a result, this study aimed to assess tele-Pharmacy perception, knowledge and associated factors among pharmacy students in Northwest Ethiopia.
An institutional-based cross-sectional study was conducted among 376 pharmacy students in Northwest Ethiopia between July 15 and August 27, 2022. A pre-tested self-administered questionnaire was used to collect data. The data were entered using Epi info version 7.0 and analyzed using SPSS version 25. Descriptive statistics, bivariable and multivariable logistic regression analysis were used to describe pharmacy students' knowledge and perceptions of Tele-pharmacy and identify associated factors. An adjusted odds ratio (OR) and a p-value with a 95% confidence interval (CI) were calculated to declare statistical significance.
From a total of 352 participants, about 32.4% with [95% CI (27%-37%)] and 48.6% with [95% CI (43%-54%)] had good knowledge and a positive perception toward Tele-pharmacy, respectively. Being age group of 26-30 (AOR = 0.35, 95% CI: 0.17-0.68), being male (AOR = 2.38, 95% CI: 1.26-4.49), Having a CPGA of > 3.5 (AOR = 2.28, 95% CI: 1.24-4.19), Taking basic computer training (AOR = 2.00, 95% CI: 1.17-3.39), Management support (AOR = 1.84, 95% CI: 1.06-3.19) were found to be significantly associated with pharmacy students' knowledge of Tele-pharmacy. Similarly, having access to electronic devices (AOR = 3.80, 95% CI: 1.81-7.97), training related to pharmacy information systems (AOR = 6.66, 95% CI: 3.34-13.29), availability of guidelines (AOR = 2.99, 95% CI: 1.62-5.50) were found to be significantly associated with pharmacy students' perceptions of Tele-pharmacy.
This study found that pharmacy students have limited knowledge and perceptions of the Tele-pharmacy system. A continuing Tele-pharmacy training package, incorporating pharmacy information system guidelines as part of their education, and providing managerial support could be recommended to improve pharmacy students' knowledge and perception of Tele-pharmacy. |
doi_str_mv | 10.1186/s12909-023-04111-9 |
format | article |
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An institutional-based cross-sectional study was conducted among 376 pharmacy students in Northwest Ethiopia between July 15 and August 27, 2022. A pre-tested self-administered questionnaire was used to collect data. The data were entered using Epi info version 7.0 and analyzed using SPSS version 25. Descriptive statistics, bivariable and multivariable logistic regression analysis were used to describe pharmacy students' knowledge and perceptions of Tele-pharmacy and identify associated factors. An adjusted odds ratio (OR) and a p-value with a 95% confidence interval (CI) were calculated to declare statistical significance.
From a total of 352 participants, about 32.4% with [95% CI (27%-37%)] and 48.6% with [95% CI (43%-54%)] had good knowledge and a positive perception toward Tele-pharmacy, respectively. Being age group of 26-30 (AOR = 0.35, 95% CI: 0.17-0.68), being male (AOR = 2.38, 95% CI: 1.26-4.49), Having a CPGA of > 3.5 (AOR = 2.28, 95% CI: 1.24-4.19), Taking basic computer training (AOR = 2.00, 95% CI: 1.17-3.39), Management support (AOR = 1.84, 95% CI: 1.06-3.19) were found to be significantly associated with pharmacy students' knowledge of Tele-pharmacy. Similarly, having access to electronic devices (AOR = 3.80, 95% CI: 1.81-7.97), training related to pharmacy information systems (AOR = 6.66, 95% CI: 3.34-13.29), availability of guidelines (AOR = 2.99, 95% CI: 1.62-5.50) were found to be significantly associated with pharmacy students' perceptions of Tele-pharmacy.
This study found that pharmacy students have limited knowledge and perceptions of the Tele-pharmacy system. A continuing Tele-pharmacy training package, incorporating pharmacy information system guidelines as part of their education, and providing managerial support could be recommended to improve pharmacy students' knowledge and perception of Tele-pharmacy.</description><identifier>ISSN: 1472-6920</identifier><identifier>EISSN: 1472-6920</identifier><identifier>DOI: 10.1186/s12909-023-04111-9</identifier><identifier>PMID: 36849956</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Clinical competence ; Cross-Sectional Studies ; Data collection ; Data Processing ; Definitions ; Departments ; Drug stores ; Educational Technology ; Ethiopia ; Evidence ; Female ; Goodness of Fit ; Health care policy ; Health Personnel ; Health Sciences ; Health Services ; Humans ; Information technology ; Knowledge ; Likert Scales ; Male ; Medical education ; Medical personnel ; Medical schools ; Medical students ; Medicine ; Perception ; Perceptions ; Pharmaceutical Services ; Pharmacies ; Pharmacy ; Pharmacy students ; Principals ; Quality Control ; Questionnaires ; Regression (Statistics) ; Regression analysis ; Rural areas ; Sample Size ; Science ; Sociodemographics ; Software ; Students ; Students, Pharmacy ; Surveys ; Technology application ; Tele-pharmacy ; Telecommunications ; Telemedicine ; Test Results ; Variables</subject><ispartof>BMC medical education, 2023-02, Vol.23 (1), p.130-130, Article 130</ispartof><rights>2023. The Author(s).</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-353de04fd2ae5e0e016238f734183893a955eecf7035e70120cb90beb1128c773</citedby><cites>FETCH-LOGICAL-c493t-353de04fd2ae5e0e016238f734183893a955eecf7035e70120cb90beb1128c773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969706/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2788454353?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,21357,21373,25731,27901,27902,33588,33589,33854,33855,36989,36990,43709,43856,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36849956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tegegne, Masresha Derese</creatorcontrib><creatorcontrib>Wubante, Sisay Maru</creatorcontrib><creatorcontrib>Melaku, Mequannent Sharew</creatorcontrib><creatorcontrib>Mengiste, Nebyu Demeke</creatorcontrib><creatorcontrib>Fentahun, Ashenafi</creatorcontrib><creatorcontrib>Zemene, Wondwossen</creatorcontrib><creatorcontrib>Zeleke, Tirualem</creatorcontrib><creatorcontrib>Walle, Agmasie Damtew</creatorcontrib><creatorcontrib>Lakew, Getnet Tadesse</creatorcontrib><creatorcontrib>Tareke, Yonas Tsegaw</creatorcontrib><creatorcontrib>Abdi, Mubarek Suleman</creatorcontrib><creatorcontrib>Alemayehu, Hawariyat Mamuye</creatorcontrib><creatorcontrib>Girma, Eskedar Menkir</creatorcontrib><creatorcontrib>Tilahun, Gizaw Getye</creatorcontrib><creatorcontrib>Demsash, Addisalem Workie</creatorcontrib><creatorcontrib>Dessie, Hiwote Simane</creatorcontrib><title>Tele-pharmacy perception, knowledge and associated factors among pharmacy students in northwest Ethiopia: an input for implementers</title><title>BMC medical education</title><addtitle>BMC Med Educ</addtitle><description>Tele-pharmacy is a subset of telemedicine in which pharmacies use telecommunication technology to provide patient care. Tele-pharmacy can improve pharmaceutical care service delivery by reducing medication errors, improving access to health professionals and facilities in remote and rural areas, and minimizing adverse drug events. However, there is limited evidence regarding future pharmacists' knowledge and perceptions of the Tele-pharmacy system in Ethiopia. As a result, this study aimed to assess tele-Pharmacy perception, knowledge and associated factors among pharmacy students in Northwest Ethiopia.
An institutional-based cross-sectional study was conducted among 376 pharmacy students in Northwest Ethiopia between July 15 and August 27, 2022. A pre-tested self-administered questionnaire was used to collect data. The data were entered using Epi info version 7.0 and analyzed using SPSS version 25. Descriptive statistics, bivariable and multivariable logistic regression analysis were used to describe pharmacy students' knowledge and perceptions of Tele-pharmacy and identify associated factors. An adjusted odds ratio (OR) and a p-value with a 95% confidence interval (CI) were calculated to declare statistical significance.
From a total of 352 participants, about 32.4% with [95% CI (27%-37%)] and 48.6% with [95% CI (43%-54%)] had good knowledge and a positive perception toward Tele-pharmacy, respectively. Being age group of 26-30 (AOR = 0.35, 95% CI: 0.17-0.68), being male (AOR = 2.38, 95% CI: 1.26-4.49), Having a CPGA of > 3.5 (AOR = 2.28, 95% CI: 1.24-4.19), Taking basic computer training (AOR = 2.00, 95% CI: 1.17-3.39), Management support (AOR = 1.84, 95% CI: 1.06-3.19) were found to be significantly associated with pharmacy students' knowledge of Tele-pharmacy. Similarly, having access to electronic devices (AOR = 3.80, 95% CI: 1.81-7.97), training related to pharmacy information systems (AOR = 6.66, 95% CI: 3.34-13.29), availability of guidelines (AOR = 2.99, 95% CI: 1.62-5.50) were found to be significantly associated with pharmacy students' perceptions of Tele-pharmacy.
This study found that pharmacy students have limited knowledge and perceptions of the Tele-pharmacy system. A continuing Tele-pharmacy training package, incorporating pharmacy information system guidelines as part of their education, and providing managerial support could be recommended to improve pharmacy students' knowledge and perception of Tele-pharmacy.</description><subject>Adult</subject><subject>Clinical competence</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Data Processing</subject><subject>Definitions</subject><subject>Departments</subject><subject>Drug stores</subject><subject>Educational Technology</subject><subject>Ethiopia</subject><subject>Evidence</subject><subject>Female</subject><subject>Goodness of Fit</subject><subject>Health care policy</subject><subject>Health Personnel</subject><subject>Health Sciences</subject><subject>Health Services</subject><subject>Humans</subject><subject>Information technology</subject><subject>Knowledge</subject><subject>Likert Scales</subject><subject>Male</subject><subject>Medical education</subject><subject>Medical personnel</subject><subject>Medical schools</subject><subject>Medical students</subject><subject>Medicine</subject><subject>Perception</subject><subject>Perceptions</subject><subject>Pharmaceutical Services</subject><subject>Pharmacies</subject><subject>Pharmacy</subject><subject>Pharmacy students</subject><subject>Principals</subject><subject>Quality Control</subject><subject>Questionnaires</subject><subject>Regression (Statistics)</subject><subject>Regression analysis</subject><subject>Rural areas</subject><subject>Sample Size</subject><subject>Science</subject><subject>Sociodemographics</subject><subject>Software</subject><subject>Students</subject><subject>Students, Pharmacy</subject><subject>Surveys</subject><subject>Technology application</subject><subject>Tele-pharmacy</subject><subject>Telecommunications</subject><subject>Telemedicine</subject><subject>Test 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Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Education Database (ProQuest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC medical education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tegegne, Masresha Derese</au><au>Wubante, Sisay Maru</au><au>Melaku, Mequannent Sharew</au><au>Mengiste, Nebyu Demeke</au><au>Fentahun, Ashenafi</au><au>Zemene, Wondwossen</au><au>Zeleke, Tirualem</au><au>Walle, Agmasie Damtew</au><au>Lakew, Getnet Tadesse</au><au>Tareke, Yonas Tsegaw</au><au>Abdi, Mubarek Suleman</au><au>Alemayehu, Hawariyat Mamuye</au><au>Girma, Eskedar Menkir</au><au>Tilahun, Gizaw Getye</au><au>Demsash, Addisalem Workie</au><au>Dessie, Hiwote Simane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tele-pharmacy perception, knowledge and associated factors among pharmacy students in northwest Ethiopia: an input for implementers</atitle><jtitle>BMC medical education</jtitle><addtitle>BMC Med Educ</addtitle><date>2023-02-27</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>130</spage><epage>130</epage><pages>130-130</pages><artnum>130</artnum><issn>1472-6920</issn><eissn>1472-6920</eissn><abstract>Tele-pharmacy is a subset of telemedicine in which pharmacies use telecommunication technology to provide patient care. Tele-pharmacy can improve pharmaceutical care service delivery by reducing medication errors, improving access to health professionals and facilities in remote and rural areas, and minimizing adverse drug events. However, there is limited evidence regarding future pharmacists' knowledge and perceptions of the Tele-pharmacy system in Ethiopia. As a result, this study aimed to assess tele-Pharmacy perception, knowledge and associated factors among pharmacy students in Northwest Ethiopia.
An institutional-based cross-sectional study was conducted among 376 pharmacy students in Northwest Ethiopia between July 15 and August 27, 2022. A pre-tested self-administered questionnaire was used to collect data. The data were entered using Epi info version 7.0 and analyzed using SPSS version 25. Descriptive statistics, bivariable and multivariable logistic regression analysis were used to describe pharmacy students' knowledge and perceptions of Tele-pharmacy and identify associated factors. An adjusted odds ratio (OR) and a p-value with a 95% confidence interval (CI) were calculated to declare statistical significance.
From a total of 352 participants, about 32.4% with [95% CI (27%-37%)] and 48.6% with [95% CI (43%-54%)] had good knowledge and a positive perception toward Tele-pharmacy, respectively. Being age group of 26-30 (AOR = 0.35, 95% CI: 0.17-0.68), being male (AOR = 2.38, 95% CI: 1.26-4.49), Having a CPGA of > 3.5 (AOR = 2.28, 95% CI: 1.24-4.19), Taking basic computer training (AOR = 2.00, 95% CI: 1.17-3.39), Management support (AOR = 1.84, 95% CI: 1.06-3.19) were found to be significantly associated with pharmacy students' knowledge of Tele-pharmacy. Similarly, having access to electronic devices (AOR = 3.80, 95% CI: 1.81-7.97), training related to pharmacy information systems (AOR = 6.66, 95% CI: 3.34-13.29), availability of guidelines (AOR = 2.99, 95% CI: 1.62-5.50) were found to be significantly associated with pharmacy students' perceptions of Tele-pharmacy.
This study found that pharmacy students have limited knowledge and perceptions of the Tele-pharmacy system. A continuing Tele-pharmacy training package, incorporating pharmacy information system guidelines as part of their education, and providing managerial support could be recommended to improve pharmacy students' knowledge and perception of Tele-pharmacy.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>36849956</pmid><doi>10.1186/s12909-023-04111-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1472-6920 |
ispartof | BMC medical education, 2023-02, Vol.23 (1), p.130-130, Article 130 |
issn | 1472-6920 1472-6920 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_d25bb091945244aa878a8aecc56b738e |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); Social Science Premium Collection; PubMed Central; Education Collection |
subjects | Adult Clinical competence Cross-Sectional Studies Data collection Data Processing Definitions Departments Drug stores Educational Technology Ethiopia Evidence Female Goodness of Fit Health care policy Health Personnel Health Sciences Health Services Humans Information technology Knowledge Likert Scales Male Medical education Medical personnel Medical schools Medical students Medicine Perception Perceptions Pharmaceutical Services Pharmacies Pharmacy Pharmacy students Principals Quality Control Questionnaires Regression (Statistics) Regression analysis Rural areas Sample Size Science Sociodemographics Software Students Students, Pharmacy Surveys Technology application Tele-pharmacy Telecommunications Telemedicine Test Results Variables |
title | Tele-pharmacy perception, knowledge and associated factors among pharmacy students in northwest Ethiopia: an input for implementers |
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