Human factors frameworks in analysis of contributory factors to medication error: A systematic review
BackgroundMedication safety remains a significant concern within healthcare systems globally. Identifying the factors that contribute to medication errors is essential for enhancing patient safety. Human factor (HF) frameworks address this by providing a comprehensive and systematic methodology for...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | article |
| Published: |
2025
|
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1016/j.sapharm.2025.04.005 https://www.sciencedirect.com/science/article/pii/S1551741125002165 http://hdl.handle.net/10576/65525 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1857415083648352256 |
|---|---|
| author | Duha, Rashdan |
| author2 | Farha, Rana Abu Yasin, Haya Hadi, Muhammad Abdul |
| author2_role | author author author |
| author_facet | Duha, Rashdan Farha, Rana Abu Yasin, Haya Hadi, Muhammad Abdul |
| author_role | author |
| dc.creator.none.fl_str_mv | Duha, Rashdan Farha, Rana Abu Yasin, Haya Hadi, Muhammad Abdul |
| dc.date.none.fl_str_mv | 2025-06-15T07:44:13Z 2025-04-19 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.sapharm.2025.04.005 Rashdan, D., Farha, R. A., Yasin, H., & Hadi, M. A. (2025). Human Factors Frameworks in Analysis of Contributory Factors to Medication Error: A Systematic Review. Research in Social and Administrative Pharmacy. 1551-7411 https://www.sciencedirect.com/science/article/pii/S1551741125002165 http://hdl.handle.net/10576/65525 1934-8150 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | reliability metrics human factors |
| dc.title.none.fl_str_mv | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | BackgroundMedication safety remains a significant concern within healthcare systems globally. Identifying the factors that contribute to medication errors is essential for enhancing patient safety. Human factor (HF) frameworks address this by providing a comprehensive and systematic methodology for analysing these factors. AimThis systematic review aims to identify the various HF frameworks used for medication error analysis in healthcare, synthesise reported contributory factors, and assess the reliability metrics of these frameworks. MethodA comprehensive search of electronic databases (Medline, Embase, PsycINFO, Web of Science, SCOPUS, and ProQuest) was performed. Studies analysed contributory factors to medication errors using a validated HF Framework were included. HF frameworks results were synthesized narratively, and the contributory factors were synthesized using the Human factors analysis and classification system (HFACS) framework. ResultsThis review included 43 studies that took place in 16 different countries between 2002 and 2024. eleven HF frameworks were used to analyse medication errors, with Reason's model as the most frequently utilized. Communication factors, adverse mental status, physical and mental limitations, skill-based errors, and organizational influences were frequently reported factors contributing to medication errors. A limited number of studies reported any reliability metrics of the utilized framework. ConclusionHF frameworks are a valuable tool for analysing contributory factors to medication errors. There is a need to prioritise clear communication processes, optimize resource management, invest in continuous staff development, and consider external influences in medication safety strategies.Registry and registry number for systematic reviews or meta-analyses. the protocol applied in this study was registered in PROSPERO (registration number: CRD42024497681). |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_18df1713588f2821fc831264d1a294f8 |
| identifier_str_mv | Rashdan, D., Farha, R. A., Yasin, H., & Hadi, M. A. (2025). Human Factors Frameworks in Analysis of Contributory Factors to Medication Error: A Systematic Review. Research in Social and Administrative Pharmacy. 1551-7411 1934-8150 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/65525 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| spelling | Human factors frameworks in analysis of contributory factors to medication error: A systematic reviewDuha, RashdanFarha, Rana AbuYasin, HayaHadi, Muhammad Abdulreliability metricshuman factorsBackgroundMedication safety remains a significant concern within healthcare systems globally. Identifying the factors that contribute to medication errors is essential for enhancing patient safety. Human factor (HF) frameworks address this by providing a comprehensive and systematic methodology for analysing these factors. AimThis systematic review aims to identify the various HF frameworks used for medication error analysis in healthcare, synthesise reported contributory factors, and assess the reliability metrics of these frameworks. MethodA comprehensive search of electronic databases (Medline, Embase, PsycINFO, Web of Science, SCOPUS, and ProQuest) was performed. Studies analysed contributory factors to medication errors using a validated HF Framework were included. HF frameworks results were synthesized narratively, and the contributory factors were synthesized using the Human factors analysis and classification system (HFACS) framework. ResultsThis review included 43 studies that took place in 16 different countries between 2002 and 2024. eleven HF frameworks were used to analyse medication errors, with Reason's model as the most frequently utilized. Communication factors, adverse mental status, physical and mental limitations, skill-based errors, and organizational influences were frequently reported factors contributing to medication errors. A limited number of studies reported any reliability metrics of the utilized framework. ConclusionHF frameworks are a valuable tool for analysing contributory factors to medication errors. There is a need to prioritise clear communication processes, optimize resource management, invest in continuous staff development, and consider external influences in medication safety strategies.Registry and registry number for systematic reviews or meta-analyses. the protocol applied in this study was registered in PROSPERO (registration number: CRD42024497681).Elsevier2025-06-15T07:44:13Z2025-04-19Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.sapharm.2025.04.005Rashdan, D., Farha, R. A., Yasin, H., & Hadi, M. A. (2025). Human Factors Frameworks in Analysis of Contributory Factors to Medication Error: A Systematic Review. Research in Social and Administrative Pharmacy.1551-7411https://www.sciencedirect.com/science/article/pii/S1551741125002165http://hdl.handle.net/10576/655251934-8150enhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/655252025-06-15T19:07:26Z |
| spellingShingle | Human factors frameworks in analysis of contributory factors to medication error: A systematic review Duha, Rashdan reliability metrics human factors |
| status_str | publishedVersion |
| title | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| title_full | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| title_fullStr | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| title_full_unstemmed | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| title_short | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| title_sort | Human factors frameworks in analysis of contributory factors to medication error: A systematic review |
| topic | reliability metrics human factors |
| url | http://dx.doi.org/10.1016/j.sapharm.2025.04.005 https://www.sciencedirect.com/science/article/pii/S1551741125002165 http://hdl.handle.net/10576/65525 |