Evaluation of Computer-Based Training for Health Workers in Echocardiography for Rheumatic Heart Disease

Daniel Engelman, E Okello, A Beaton, G Selnow, Bo (Boglarka) Remenyi, C WATSON, CT Longenecker, C Sable, Andrew Steer

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Background: The implementation of screening for rheumatic heart disease at a population-scale would require a considerable increase in human resources. Training nonexpert staff in echocardiography requires appropriate methods and materials.


    Objectives: This pre/post study aims to measure the change in the knowledge and confidence of a group of health workers after a computer-assisted training intervention in basic echocardiography for rheumatic heart disease.


    Methods: A syllabus of self-guided, computer-based modules to train nonexpert health workers in basic echocardiography for rheumatic heart disease was developed. Thirty-eight health workers from Uganda participated in the training. Using a pre/post design, identical test instruments were administered before and after the training intervention, assessing the knowledge (using multiple-choice questions) and confidence (using Likert scale questions) in clinical science and echocardiography.


    Results: The mean total score on knowledge tests rose from 44.8% to 85.4% (mean difference: 40.6%, 95% confidence interval [CI]: 35.4% to 45.8%), with strong evidence for an increase in scores across all knowledge theme areas (p < 0.001). Increased confidence with each key aspect was reported, and there was strong evidence for an increase in the mean score for confidence scales in clinical science (difference: 7.1, 95% CI: 6.2 to 8.0; p < 0.001) and echocardiography (difference: 18.3, 95% CI: 16.6 to 20.0; p < 0.001).


    Conclusions: The training program was effective at increasing knowledge and confidence for basic echocardiography in nonexpert health workers. Use of computer-assisted learning may reduce the human resource requirements for training staff in echocardiography.

    Original languageEnglish
    Article numbere8
    Pages (from-to)17-23
    Number of pages7
    JournalGlobal Heart
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - Mar 2017

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    Rheumatic Heart Disease
    Echocardiography
    Health
    Confidence Intervals
    Uganda
    Learning
    Education
    Population

    Cite this

    Engelman, D., Okello, E., Beaton, A., Selnow, G., Remenyi, B. B., WATSON, C., ... Steer, A. (2017). Evaluation of Computer-Based Training for Health Workers in Echocardiography for Rheumatic Heart Disease. Global Heart, 12(1), 17-23. [e8]. https://doi.org/10.1016/j.gheart.2015.12.001
    Engelman, Daniel ; Okello, E ; Beaton, A ; Selnow, G ; Remenyi, Bo (Boglarka) ; WATSON, C ; Longenecker, CT ; Sable, C ; Steer, Andrew. / Evaluation of Computer-Based Training for Health Workers in Echocardiography for Rheumatic Heart Disease. In: Global Heart. 2017 ; Vol. 12, No. 1. pp. 17-23.
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    abstract = "Background: The implementation of screening for rheumatic heart disease at a population-scale would require a considerable increase in human resources. Training nonexpert staff in echocardiography requires appropriate methods and materials. Objectives: This pre/post study aims to measure the change in the knowledge and confidence of a group of health workers after a computer-assisted training intervention in basic echocardiography for rheumatic heart disease. Methods: A syllabus of self-guided, computer-based modules to train nonexpert health workers in basic echocardiography for rheumatic heart disease was developed. Thirty-eight health workers from Uganda participated in the training. Using a pre/post design, identical test instruments were administered before and after the training intervention, assessing the knowledge (using multiple-choice questions) and confidence (using Likert scale questions) in clinical science and echocardiography. Results: The mean total score on knowledge tests rose from 44.8{\%} to 85.4{\%} (mean difference: 40.6{\%}, 95{\%} confidence interval [CI]: 35.4{\%} to 45.8{\%}), with strong evidence for an increase in scores across all knowledge theme areas (p < 0.001). Increased confidence with each key aspect was reported, and there was strong evidence for an increase in the mean score for confidence scales in clinical science (difference: 7.1, 95{\%} CI: 6.2 to 8.0; p < 0.001) and echocardiography (difference: 18.3, 95{\%} CI: 16.6 to 20.0; p < 0.001). Conclusions: The training program was effective at increasing knowledge and confidence for basic echocardiography in nonexpert health workers. Use of computer-assisted learning may reduce the human resource requirements for training staff in echocardiography.",
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    Engelman, D, Okello, E, Beaton, A, Selnow, G, Remenyi, BB, WATSON, C, Longenecker, CT, Sable, C & Steer, A 2017, 'Evaluation of Computer-Based Training for Health Workers in Echocardiography for Rheumatic Heart Disease', Global Heart, vol. 12, no. 1, e8, pp. 17-23. https://doi.org/10.1016/j.gheart.2015.12.001

    Evaluation of Computer-Based Training for Health Workers in Echocardiography for Rheumatic Heart Disease. / Engelman, Daniel; Okello, E; Beaton, A; Selnow, G; Remenyi, Bo (Boglarka); WATSON, C; Longenecker, CT; Sable, C; Steer, Andrew.

    In: Global Heart, Vol. 12, No. 1, e8, 03.2017, p. 17-23.

    Research output: Contribution to journalArticleResearchpeer-review

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    AU - Okello, E

    AU - Beaton, A

    AU - Selnow, G

    AU - Remenyi, Bo (Boglarka)

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    AU - Steer, Andrew

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    N2 - Background: The implementation of screening for rheumatic heart disease at a population-scale would require a considerable increase in human resources. Training nonexpert staff in echocardiography requires appropriate methods and materials. Objectives: This pre/post study aims to measure the change in the knowledge and confidence of a group of health workers after a computer-assisted training intervention in basic echocardiography for rheumatic heart disease. Methods: A syllabus of self-guided, computer-based modules to train nonexpert health workers in basic echocardiography for rheumatic heart disease was developed. Thirty-eight health workers from Uganda participated in the training. Using a pre/post design, identical test instruments were administered before and after the training intervention, assessing the knowledge (using multiple-choice questions) and confidence (using Likert scale questions) in clinical science and echocardiography. Results: The mean total score on knowledge tests rose from 44.8% to 85.4% (mean difference: 40.6%, 95% confidence interval [CI]: 35.4% to 45.8%), with strong evidence for an increase in scores across all knowledge theme areas (p < 0.001). Increased confidence with each key aspect was reported, and there was strong evidence for an increase in the mean score for confidence scales in clinical science (difference: 7.1, 95% CI: 6.2 to 8.0; p < 0.001) and echocardiography (difference: 18.3, 95% CI: 16.6 to 20.0; p < 0.001). Conclusions: The training program was effective at increasing knowledge and confidence for basic echocardiography in nonexpert health workers. Use of computer-assisted learning may reduce the human resource requirements for training staff in echocardiography.

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