Success factors for evidence-based healthcare practice adoption
Background: Evidence-based health policies are widely acknowledged as being essential for attaining ongoing improvements in health outcomes. This study represents a theoretical model to test and identify to identify the key drivers for adopting evidence-based healthcare practice (EBHP). Objectives:...
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| Format: | Article |
| Language: | English |
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AOSIS
2023-07-01
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| Series: | South African Journal of Information Management |
| Subjects: | |
| Online Access: | https://sajim.co.za/index.php/sajim/article/view/1622 |
| _version_ | 1797767229273538560 |
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| author | Lovemore Motsi Bester Chimbo |
| author_facet | Lovemore Motsi Bester Chimbo |
| author_sort | Lovemore Motsi |
| collection | DOAJ |
| description | Background: Evidence-based health policies are widely acknowledged as being essential for attaining ongoing improvements in health outcomes. This study represents a theoretical model to test and identify to identify the key drivers for adopting evidence-based healthcare practice (EBHP).
Objectives: The goal of this study was to investigate the critical success factors for the adoption of evidence-based healthcare at a South African public hospital.
Methods: Medical healthcare professionals were surveyed using a questionnaire developed by the researcher. The results were analysed with SPSS 23 and AMOS. A hypothetical model based on updated (DM) IS Success Model, Technology, Organization and Environment framework (TOE) as well as Technology Acceptance Model (TAM) was developed and analysed using structural equation modelling (SEM).
Results: The findings of this study indicate that EHR is crucial and the main construct influencing the adoption of EBHP. The findings of this study indicated a positive relationship between the construct electronic health records (EHR) with medical error reduction (MER), information quality (IQ) and knowledge quality (KQ), all showed a strong positive correlation towards the adoption of EBHP.
Conclusions: Better coordination of patient care (BCP) typically results in lower health care costs. The results also show that using EBHP improves the accuracy of disease diagnosis and treatment, which lowers the burden of disease.
Contribution: The developed framework will help healthcare systems that are strapped for money, particularly in developing countries. |
| first_indexed | 2024-03-12T20:36:24Z |
| format | Article |
| id | doaj.art-9899f7ebbe0f44c9a0ee2c0381804bc0 |
| institution | Directory Open Access Journal |
| issn | 2078-1865 1560-683X |
| language | English |
| last_indexed | 2024-03-12T20:36:24Z |
| publishDate | 2023-07-01 |
| publisher | AOSIS |
| record_format | Article |
| series | South African Journal of Information Management |
| spelling | doaj.art-9899f7ebbe0f44c9a0ee2c0381804bc02023-08-01T13:01:11ZengAOSISSouth African Journal of Information Management2078-18651560-683X2023-07-01251e1e910.4102/sajim.v25i1.1622754Success factors for evidence-based healthcare practice adoptionLovemore Motsi0Bester Chimbo1School of Computing, College of Science, Engineering and Technology, University of South Africa, PretoriaSchool of Computing, College of Science, Engineering and Technology, University of South Africa, PretoriaBackground: Evidence-based health policies are widely acknowledged as being essential for attaining ongoing improvements in health outcomes. This study represents a theoretical model to test and identify to identify the key drivers for adopting evidence-based healthcare practice (EBHP). Objectives: The goal of this study was to investigate the critical success factors for the adoption of evidence-based healthcare at a South African public hospital. Methods: Medical healthcare professionals were surveyed using a questionnaire developed by the researcher. The results were analysed with SPSS 23 and AMOS. A hypothetical model based on updated (DM) IS Success Model, Technology, Organization and Environment framework (TOE) as well as Technology Acceptance Model (TAM) was developed and analysed using structural equation modelling (SEM). Results: The findings of this study indicate that EHR is crucial and the main construct influencing the adoption of EBHP. The findings of this study indicated a positive relationship between the construct electronic health records (EHR) with medical error reduction (MER), information quality (IQ) and knowledge quality (KQ), all showed a strong positive correlation towards the adoption of EBHP. Conclusions: Better coordination of patient care (BCP) typically results in lower health care costs. The results also show that using EBHP improves the accuracy of disease diagnosis and treatment, which lowers the burden of disease. Contribution: The developed framework will help healthcare systems that are strapped for money, particularly in developing countries.https://sajim.co.za/index.php/sajim/article/view/1622medical healthcare professionalsevidence-based healthcare practice (ebhp)better coordination of patient care (bcp)diagnosis and treatment of diseasesmedical error reductioninformation qualityknowledge quality. |
| spellingShingle | Lovemore Motsi Bester Chimbo Success factors for evidence-based healthcare practice adoption South African Journal of Information Management medical healthcare professionals evidence-based healthcare practice (ebhp) better coordination of patient care (bcp) diagnosis and treatment of diseases medical error reduction information quality knowledge quality. |
| title | Success factors for evidence-based healthcare practice adoption |
| title_full | Success factors for evidence-based healthcare practice adoption |
| title_fullStr | Success factors for evidence-based healthcare practice adoption |
| title_full_unstemmed | Success factors for evidence-based healthcare practice adoption |
| title_short | Success factors for evidence-based healthcare practice adoption |
| title_sort | success factors for evidence based healthcare practice adoption |
| topic | medical healthcare professionals evidence-based healthcare practice (ebhp) better coordination of patient care (bcp) diagnosis and treatment of diseases medical error reduction information quality knowledge quality. |
| url | https://sajim.co.za/index.php/sajim/article/view/1622 |
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