Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa

Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a pati...
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Autor*in:	Langalibalele H. Mabuza [verfasserIn] Pindile S. Mntla [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Französisch

Erschienen:	2020

Schlagwörter:	generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities

Übergeordnetes Werk:	In: African Journal of Primary Health Care & Family Medicine - AOSIS, 2009, 12(2020), 1, Seite e1-e7
Übergeordnetes Werk:	volume:12 ; year:2020 ; number:1 ; pages:e1-e7

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4102/phcfm.v12i1.2421

Katalog-ID:	DOAJ046031006

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allfields	10.4102/phcfm.v12i1.2421 doi (DE-627)DOAJ046031006 (DE-599)DOAJ4ee6ca03b8d147b8be24c5faebb3c0c3 DE-627 ger DE-627 rakwb eng fre RA1-1270 Langalibalele H. Mabuza verfasserin aut Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation. generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities Medicine R Public aspects of medicine Pindile S. Mntla verfasserin aut In African Journal of Primary Health Care & Family Medicine AOSIS, 2009 12(2020), 1, Seite e1-e7 (DE-627)61409416X (DE-600)2526836-3 20712936 nnns volume:12 year:2020 number:1 pages:e1-e7 https://doi.org/10.4102/phcfm.v12i1.2421 kostenfrei https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 kostenfrei https://phcfm.org/index.php/phcfm/article/view/2421 kostenfrei https://doaj.org/toc/2071-2928 Journal toc kostenfrei https://doaj.org/toc/2071-2936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 1 e1-e7
spelling	10.4102/phcfm.v12i1.2421 doi (DE-627)DOAJ046031006 (DE-599)DOAJ4ee6ca03b8d147b8be24c5faebb3c0c3 DE-627 ger DE-627 rakwb eng fre RA1-1270 Langalibalele H. Mabuza verfasserin aut Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation. generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities Medicine R Public aspects of medicine Pindile S. Mntla verfasserin aut In African Journal of Primary Health Care & Family Medicine AOSIS, 2009 12(2020), 1, Seite e1-e7 (DE-627)61409416X (DE-600)2526836-3 20712936 nnns volume:12 year:2020 number:1 pages:e1-e7 https://doi.org/10.4102/phcfm.v12i1.2421 kostenfrei https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 kostenfrei https://phcfm.org/index.php/phcfm/article/view/2421 kostenfrei https://doaj.org/toc/2071-2928 Journal toc kostenfrei https://doaj.org/toc/2071-2936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 1 e1-e7
allfields_unstemmed	10.4102/phcfm.v12i1.2421 doi (DE-627)DOAJ046031006 (DE-599)DOAJ4ee6ca03b8d147b8be24c5faebb3c0c3 DE-627 ger DE-627 rakwb eng fre RA1-1270 Langalibalele H. Mabuza verfasserin aut Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation. generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities Medicine R Public aspects of medicine Pindile S. Mntla verfasserin aut In African Journal of Primary Health Care & Family Medicine AOSIS, 2009 12(2020), 1, Seite e1-e7 (DE-627)61409416X (DE-600)2526836-3 20712936 nnns volume:12 year:2020 number:1 pages:e1-e7 https://doi.org/10.4102/phcfm.v12i1.2421 kostenfrei https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 kostenfrei https://phcfm.org/index.php/phcfm/article/view/2421 kostenfrei https://doaj.org/toc/2071-2928 Journal toc kostenfrei https://doaj.org/toc/2071-2936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 1 e1-e7
allfieldsGer	10.4102/phcfm.v12i1.2421 doi (DE-627)DOAJ046031006 (DE-599)DOAJ4ee6ca03b8d147b8be24c5faebb3c0c3 DE-627 ger DE-627 rakwb eng fre RA1-1270 Langalibalele H. Mabuza verfasserin aut Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation. generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities Medicine R Public aspects of medicine Pindile S. Mntla verfasserin aut In African Journal of Primary Health Care & Family Medicine AOSIS, 2009 12(2020), 1, Seite e1-e7 (DE-627)61409416X (DE-600)2526836-3 20712936 nnns volume:12 year:2020 number:1 pages:e1-e7 https://doi.org/10.4102/phcfm.v12i1.2421 kostenfrei https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 kostenfrei https://phcfm.org/index.php/phcfm/article/view/2421 kostenfrei https://doaj.org/toc/2071-2928 Journal toc kostenfrei https://doaj.org/toc/2071-2936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 1 e1-e7
allfieldsSound	10.4102/phcfm.v12i1.2421 doi (DE-627)DOAJ046031006 (DE-599)DOAJ4ee6ca03b8d147b8be24c5faebb3c0c3 DE-627 ger DE-627 rakwb eng fre RA1-1270 Langalibalele H. Mabuza verfasserin aut Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation. generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities Medicine R Public aspects of medicine Pindile S. Mntla verfasserin aut In African Journal of Primary Health Care & Family Medicine AOSIS, 2009 12(2020), 1, Seite e1-e7 (DE-627)61409416X (DE-600)2526836-3 20712936 nnns volume:12 year:2020 number:1 pages:e1-e7 https://doi.org/10.4102/phcfm.v12i1.2421 kostenfrei https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 kostenfrei https://phcfm.org/index.php/phcfm/article/view/2421 kostenfrei https://doaj.org/toc/2071-2928 Journal toc kostenfrei https://doaj.org/toc/2071-2936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 1 e1-e7
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callnumber-first	R - Medicine
author	Langalibalele H. Mabuza
spellingShingle	Langalibalele H. Mabuza misc RA1-1270 misc generalist medical practitioners misc competence misc ecg interpretation misc primary ecg parameters misc ecg emergencies misc common ecg abnormalities misc Medicine misc R misc Public aspects of medicine Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa
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topic_title	RA1-1270 Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa generalist medical practitioners competence ecg interpretation primary ecg parameters ecg emergencies common ecg abnormalities
topic	misc RA1-1270 misc generalist medical practitioners misc competence misc ecg interpretation misc primary ecg parameters misc ecg emergencies misc common ecg abnormalities misc Medicine misc R misc Public aspects of medicine
topic_unstemmed	misc RA1-1270 misc generalist medical practitioners misc competence misc ecg interpretation misc primary ecg parameters misc ecg emergencies misc common ecg abnormalities misc Medicine misc R misc Public aspects of medicine
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title	Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa
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title_full	Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa
author_sort	Langalibalele H. Mabuza
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author-letter	Langalibalele H. Mabuza
doi_str_mv	10.4102/phcfm.v12i1.2421
author2-role	verfasserin
title_sort	generalist practitioners’ self-rating and competence in electrocardiogram interpretation in south africa
callnumber	RA1-1270
title_auth	Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa
abstract	Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation.
abstractGer	Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation.
abstract_unstemmed	Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. There is a need for continuous education in ECG interpretation.
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title_short	Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa
url	https://doi.org/10.4102/phcfm.v12i1.2421 https://doaj.org/article/4ee6ca03b8d147b8be24c5faebb3c0c3 https://phcfm.org/index.php/phcfm/article/view/2421 https://doaj.org/toc/2071-2928 https://doaj.org/toc/2071-2936
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Mabuza</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Electrocardiogram (ECG) is the only practical, non-invasive method of recording and analysing cardiac abnormalities. It enables a primary healthcare (PHC) clinician to detect cardiac and non-cardiac abnormalities, some potentially life-threatening. Their early detection could save a patient’s life. Aim: The aim of this study was to evaluate the competence of generalist practitioners in ECG interpretation. Setting: This study was conducted at the Annual Refresher Course, Council for Scientific and Industrial Research (CSIR), Pretoria. Methods: A cross-sectional study was conducted amongst 93 generalist practitioners, using a self-administered questionnaire containing 20 ECG tracings, commonly encountered in PHC. The tracings were categorised into primary ECG parameters, ECG emergencies and common ECG abnormalities. Competence was determined by the generalist practitioner’s number of correctly interpreted ECG tracings. Data associations were computed using the Fisher’s exact test. Statistical significance was set at p ≤ 0.05. Results: Correct heart rate calculation was achieved by 14/83 (16.9%), ECG rhythm by 7/83 (8.4%), acute antero-septal myocardial infarction (MI) by 29/83 (34.9%), atrial fibrillation by 19/83 (22.9%) and cute inferior MI by 22/83 (26.5%) generalist practitioners. No correlation was found between the practitioners’ number of years in practice and competence in ECG interpretation (p 0.05). The total number of correct answers achieved by all practitioners was 274/1860 (14.7%). Conclusion: The generalist practitioners had poor competency on ECG interpretation regardless of the number of years in practice. Their poor self-rating corresponded with the number of correct answers they provided. 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Generalist practitioners’ self-rating and competence in electrocardiogram interpretation in South Africa

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