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Factors associated with adoption of the electronic health record system among primary care physicians
A territory-wide Internet-based electronic patient record allows better patient care in different sectors. The engagement of private physicians is one of the major facilitators for implementation, but there is limited information about the current adoption level of electronic medical record (eMR) am...
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| Published in: | JMIR medical informatics 2013-08, Vol.1 (1), p.e1-e1 |
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| creator | Cheung, Clement Sk Tong, Ellen Lh Cheung, Ngai Tseung Chan, Wai Man Wang, Harry Hx Kwan, Mandy Wm Fan, Carmen Km Liu, Kirin Ql Wong, Martin Cs |
| description | A territory-wide Internet-based electronic patient record allows better patient care in different sectors. The engagement of private physicians is one of the major facilitators for implementation, but there is limited information about the current adoption level of electronic medical record (eMR) among private primary care physicians.
This survey measured the adoption level, enabling factors, and hindering factors of eMR, among private physicians in Hong Kong. It also evaluated the key functions and the popularity of electronic systems and vendors used by these private practitioners.
A central registry consisting of 4324 private practitioners was set up. Invitations for self-administered surveys and the completed questionnaires were sent and returned via fax, email, postal mail, and on-site clinic visits. Current users and non-users of eMR system were compared according to their demographic and practice characteristics. Student's t tests and chi-square tests were used for continuous and categorical variables, respectively.
A total of 524 completed surveys (response rate 524/4405 11.90%) were collected. The proportion of using eMR in private clinics was 79.6% (417/524). When compared with non-users, the eMR users were younger (users: 48.4 years SD 10.6 years vs non-users: 61.7 years SD 10.2 years, P |
| doi_str_mv | 10.2196/medinform.2766 |
| format | article |
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This survey measured the adoption level, enabling factors, and hindering factors of eMR, among private physicians in Hong Kong. It also evaluated the key functions and the popularity of electronic systems and vendors used by these private practitioners.
A central registry consisting of 4324 private practitioners was set up. Invitations for self-administered surveys and the completed questionnaires were sent and returned via fax, email, postal mail, and on-site clinic visits. Current users and non-users of eMR system were compared according to their demographic and practice characteristics. Student's t tests and chi-square tests were used for continuous and categorical variables, respectively.
A total of 524 completed surveys (response rate 524/4405 11.90%) were collected. The proportion of using eMR in private clinics was 79.6% (417/524). When compared with non-users, the eMR users were younger (users: 48.4 years SD 10.6 years vs non-users: 61.7 years SD 10.2 years, P<.001); more were female physicians (users: 80/417, 19.2% vs non-users: 14/107, 13.1%, P=.013); possessed less clinical experience (with more than20 years of practice: users: 261/417, 62.6% vs non-user: 93/107, 86.9%, P<.001); fewer worked under a Health Maintenance Organization (users: 347/417, 83.2% vs non-users: 97/107, 90.7%, P<.001) and more worked with practice partners (users: 126/417, 30.2% vs non-users: 4/107, 3.7%, P<.001). Efficiency (379/417, 90.9%) and reduction of medical errors (229/417, 54.9%) were the major enabling factors, while patient-unfriendliness (58/107, 54.2%) and limited consultation time (54/107, 50.5%) were the most commonly reported hindering factors. The key functions of computer software among eMR users consisted of electronic patient registration system (376/417, 90.2%), drug dispensing system (328/417, 78.7%) and electronic drug labels (296/417, 71.0%). SoftLink Clinic Solution was the most popular vendor (160/417, 38.4%).
These findings identified several physician groups who should be targeted for more assistance on eMR installation and its adoption. Future studies should address the barriers of using Internet-based eMR to enhance its adoption.</description><identifier>ISSN: 2291-9694</identifier><identifier>EISSN: 2291-9694</identifier><identifier>DOI: 10.2196/medinform.2766</identifier><identifier>PMID: 25599989</identifier><language>eng</language><publisher>Canada: JMIR Publications</publisher><subject>Clinics ; Electronic health records ; Health maintenance organizations ; HMOs ; Internet access ; Original Paper ; Patients ; Physicians ; Primary care ; Private sector ; Public health ; Questionnaires ; Response rates ; Sample size ; Tutoring</subject><ispartof>JMIR medical informatics, 2013-08, Vol.1 (1), p.e1-e1</ispartof><rights>2013. This work is licensed under http://creativecommons.org/licenses/by/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Clement SK Cheung, Ellen LH Tong, Ngai Tseung Cheung, Wai Man Chan, Harry HX Wang, Mandy WM Kwan, Carmen KM Fan, Kirin QL Liu, Martin CS Wong. Originally published in JMIR Research Protocols (http://medinform.jmir.org), 26.08.2013. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-ec36a807363d1c5ac95c92ecd1482cf175574755a690ff853002d5ff9817664a3</citedby><cites>FETCH-LOGICAL-c484t-ec36a807363d1c5ac95c92ecd1482cf175574755a690ff853002d5ff9817664a3</cites><orcidid>0000-0002-0361-6527</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2518482847/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2518482847?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25599989$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheung, Clement Sk</creatorcontrib><creatorcontrib>Tong, Ellen Lh</creatorcontrib><creatorcontrib>Cheung, Ngai Tseung</creatorcontrib><creatorcontrib>Chan, Wai Man</creatorcontrib><creatorcontrib>Wang, Harry Hx</creatorcontrib><creatorcontrib>Kwan, Mandy Wm</creatorcontrib><creatorcontrib>Fan, Carmen Km</creatorcontrib><creatorcontrib>Liu, Kirin Ql</creatorcontrib><creatorcontrib>Wong, Martin Cs</creatorcontrib><title>Factors associated with adoption of the electronic health record system among primary care physicians</title><title>JMIR medical informatics</title><addtitle>JMIR Med Inform</addtitle><description>A territory-wide Internet-based electronic patient record allows better patient care in different sectors. The engagement of private physicians is one of the major facilitators for implementation, but there is limited information about the current adoption level of electronic medical record (eMR) among private primary care physicians.
This survey measured the adoption level, enabling factors, and hindering factors of eMR, among private physicians in Hong Kong. It also evaluated the key functions and the popularity of electronic systems and vendors used by these private practitioners.
A central registry consisting of 4324 private practitioners was set up. Invitations for self-administered surveys and the completed questionnaires were sent and returned via fax, email, postal mail, and on-site clinic visits. Current users and non-users of eMR system were compared according to their demographic and practice characteristics. Student's t tests and chi-square tests were used for continuous and categorical variables, respectively.
A total of 524 completed surveys (response rate 524/4405 11.90%) were collected. The proportion of using eMR in private clinics was 79.6% (417/524). When compared with non-users, the eMR users were younger (users: 48.4 years SD 10.6 years vs non-users: 61.7 years SD 10.2 years, P<.001); more were female physicians (users: 80/417, 19.2% vs non-users: 14/107, 13.1%, P=.013); possessed less clinical experience (with more than20 years of practice: users: 261/417, 62.6% vs non-user: 93/107, 86.9%, P<.001); fewer worked under a Health Maintenance Organization (users: 347/417, 83.2% vs non-users: 97/107, 90.7%, P<.001) and more worked with practice partners (users: 126/417, 30.2% vs non-users: 4/107, 3.7%, P<.001). Efficiency (379/417, 90.9%) and reduction of medical errors (229/417, 54.9%) were the major enabling factors, while patient-unfriendliness (58/107, 54.2%) and limited consultation time (54/107, 50.5%) were the most commonly reported hindering factors. The key functions of computer software among eMR users consisted of electronic patient registration system (376/417, 90.2%), drug dispensing system (328/417, 78.7%) and electronic drug labels (296/417, 71.0%). SoftLink Clinic Solution was the most popular vendor (160/417, 38.4%).
These findings identified several physician groups who should be targeted for more assistance on eMR installation and its adoption. Future studies should address the barriers of using Internet-based eMR to enhance its adoption.</description><subject>Clinics</subject><subject>Electronic health records</subject><subject>Health maintenance organizations</subject><subject>HMOs</subject><subject>Internet access</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Physicians</subject><subject>Primary care</subject><subject>Private sector</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Response rates</subject><subject>Sample size</subject><subject>Tutoring</subject><issn>2291-9694</issn><issn>2291-9694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdks1vVCEUxYnR2KZ269KQuHEzI98PNiamsdqkiRtdE4TLPCbvPUZgNPPfS51x0roBcjn8cs7lIvSakjWjRr2fIaQl5jKv2aDUM3TJmKEro4x4_uh8ga5r3RJCqKBKqeElumBSGmO0uURw63zLpWJXa_bJNQj4d2ojdiHvWsoLzhG3ETBM4FvJS_J4BDd1RQGfS8D1UBvM2M152eBdSbMrB-xdAbwbDzV15lJfoRfRTRWuT_sV-n776dvNl9X91893Nx_vV15o0VbguXKaDFzxQL103khvGPhAhWY-0kHKQfTFKUNi1JITwoKM0Wja8wvHr9DdkRuy29qTGZtdsn8LuWysKy35Caw2QqggKVAdheLUDJwRwruD2JFGdNaHI2u3_9Eb7WFpxU1PoE9vljTaTf5lBdOaaNYB706Akn_uoTY7p-phmtwCeV8tVZIJogjTXfr2P-k278vSW2WZpLqn12LoqvVR5UuutUA8m6HEPgyEPQ-EfRiI_uDN4whn-b_v538A9BKz2Q</recordid><startdate>20130826</startdate><enddate>20130826</enddate><creator>Cheung, Clement Sk</creator><creator>Tong, Ellen Lh</creator><creator>Cheung, Ngai Tseung</creator><creator>Chan, Wai Man</creator><creator>Wang, Harry Hx</creator><creator>Kwan, Mandy Wm</creator><creator>Fan, Carmen Km</creator><creator>Liu, Kirin Ql</creator><creator>Wong, Martin Cs</creator><general>JMIR Publications</general><general>Gunther Eysenbach</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0361-6527</orcidid></search><sort><creationdate>20130826</creationdate><title>Factors associated with adoption of the electronic health record system among primary care physicians</title><author>Cheung, Clement Sk ; 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The engagement of private physicians is one of the major facilitators for implementation, but there is limited information about the current adoption level of electronic medical record (eMR) among private primary care physicians.
This survey measured the adoption level, enabling factors, and hindering factors of eMR, among private physicians in Hong Kong. It also evaluated the key functions and the popularity of electronic systems and vendors used by these private practitioners.
A central registry consisting of 4324 private practitioners was set up. Invitations for self-administered surveys and the completed questionnaires were sent and returned via fax, email, postal mail, and on-site clinic visits. Current users and non-users of eMR system were compared according to their demographic and practice characteristics. Student's t tests and chi-square tests were used for continuous and categorical variables, respectively.
A total of 524 completed surveys (response rate 524/4405 11.90%) were collected. The proportion of using eMR in private clinics was 79.6% (417/524). When compared with non-users, the eMR users were younger (users: 48.4 years SD 10.6 years vs non-users: 61.7 years SD 10.2 years, P<.001); more were female physicians (users: 80/417, 19.2% vs non-users: 14/107, 13.1%, P=.013); possessed less clinical experience (with more than20 years of practice: users: 261/417, 62.6% vs non-user: 93/107, 86.9%, P<.001); fewer worked under a Health Maintenance Organization (users: 347/417, 83.2% vs non-users: 97/107, 90.7%, P<.001) and more worked with practice partners (users: 126/417, 30.2% vs non-users: 4/107, 3.7%, P<.001). Efficiency (379/417, 90.9%) and reduction of medical errors (229/417, 54.9%) were the major enabling factors, while patient-unfriendliness (58/107, 54.2%) and limited consultation time (54/107, 50.5%) were the most commonly reported hindering factors. The key functions of computer software among eMR users consisted of electronic patient registration system (376/417, 90.2%), drug dispensing system (328/417, 78.7%) and electronic drug labels (296/417, 71.0%). SoftLink Clinic Solution was the most popular vendor (160/417, 38.4%).
These findings identified several physician groups who should be targeted for more assistance on eMR installation and its adoption. Future studies should address the barriers of using Internet-based eMR to enhance its adoption.</abstract><cop>Canada</cop><pub>JMIR Publications</pub><pmid>25599989</pmid><doi>10.2196/medinform.2766</doi><orcidid>https://orcid.org/0000-0002-0361-6527</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Clinics Electronic health records Health maintenance organizations HMOs Internet access Original Paper Patients Physicians Primary care Private sector Public health Questionnaires Response rates Sample size Tutoring |
| title | Factors associated with adoption of the electronic health record system among primary care physicians |
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