Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar
<h3>Background</h3><p dir="ltr">Medication errors are a major public health concern that negatively impact patient safety and health outcomes. Effective and efficient medication error reporting systems and practices are imperative in reducing error incidence and severity....
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2022
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| _version_ | 1864513567542214656 |
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| author | Binny Thomas (5801969) |
| author2 | Abdulrouf Pallivalapila (5801972) Wessam El Kassem (9140002) Moza Al Hail (2511859) Vibhu Paudyal (5819765) James McLay (14150106) Katie MacLure (4603636) Derek Stewart (117849) |
| author2_role | author author author author author author author |
| author_facet | Binny Thomas (5801969) Abdulrouf Pallivalapila (5801972) Wessam El Kassem (9140002) Moza Al Hail (2511859) Vibhu Paudyal (5819765) James McLay (14150106) Katie MacLure (4603636) Derek Stewart (117849) |
| author_role | author |
| dc.creator.none.fl_str_mv | Binny Thomas (5801969) Abdulrouf Pallivalapila (5801972) Wessam El Kassem (9140002) Moza Al Hail (2511859) Vibhu Paudyal (5819765) James McLay (14150106) Katie MacLure (4603636) Derek Stewart (117849) |
| dc.date.none.fl_str_mv | 2022-11-22T21:14:06Z |
| dc.identifier.none.fl_str_mv | 10.1007/s11096-020-01108-y |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Investigating_the_incidence_nature_severity_and_potential_causality_of_medication_errors_in_hospital_settings_in_Qatar/21597450 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Causes Error reporting Incidence Medication errors Qatar Reason’s accident causation model Severity |
| dc.title.none.fl_str_mv | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">Medication errors are a major public health concern that negatively impact patient safety and health outcomes. Effective and efficient medication error reporting systems and practices are imperative in reducing error incidence and severity. </p><h3>Objective </h3><p dir="ltr">The objectives were to quantify the incidence, nature and severity of medication errors, and to explore potential causality using a theoretical framework. </p><h3>Setting</h3><p dir="ltr">The study was conducted at Hamad Medical Corporation, the largest public funded academic healthcare center in the state of Qatar. </p><h3>Methods</h3><p dir="ltr">A retrospective review of medication error reports submitted to the Hamad Medical Corporation incident reporting system during 2015 to 2017. Data related to number of reports, reporter, medication, severity and outcomes were extracted. Reason’s Accident Causation Model was used as a theoretical framework for identifying potential causality. Two researchers independently categorized errors as: active failures (e.g. forgetting to administer medication at scheduled time); error provoking conditions (e.g. medication prescribed by an unauthorized physician and administered to the patient); and latent failures (e.g. organizational factors, lack of resources). </p><h3>Main outcome measures</h3><p dir="ltr">Incidence, classes of medications, reporter, error severity and outcomes, potential causality. </p><h3>Results</h3><p dir="ltr">A total of 5103 reports provided sufficient information to be included in the study giving an estimated error incidence of 0.044% of prescribed medication items. Most of the reports (91.5%, n = 4667) were submitted by pharmacists and majority (87.9%, n = 4485) were prescribing errors. The most commonly reported medications were anti-infectives for systemic use (22.0%, n = 1123) followed by medications to treat nervous system disorders (17.2%, n = 876). Only three errors reported to have caused temporary harm requiring intervention while one contributed to or resulted in temporary harm requiring initial or prolonged hospitalization. In terms of potential causality of medication errors, the majority (91.5%, n = 4671) were classified as active failures. </p><h3>Conclusion</h3><p dir="ltr">Almost all reports were submitted by pharmacists, indicating likely under-reporting affecting the actual incidence. Effort is required to increase the effectiveness and efficiency of the reporting system. The use of the theoretical framework allowed identification of potential causality, largely in relation to active failures, which can inform the basis of interventions to improve medication safety.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Clinical Pharmacy<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s11096-020-01108-y" target="_blank">http://dx.doi.org/10.1007/s11096-020-01108-y</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_85f7bb09d90b88be7f77e56bd7018972 |
| identifier_str_mv | 10.1007/s11096-020-01108-y |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21597450 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in QatarBinny Thomas (5801969)Abdulrouf Pallivalapila (5801972)Wessam El Kassem (9140002)Moza Al Hail (2511859)Vibhu Paudyal (5819765)James McLay (14150106)Katie MacLure (4603636)Derek Stewart (117849)Biomedical and clinical sciencesPharmacology and pharmaceutical sciencesHealth sciencesHealth services and systemsCausesError reportingIncidenceMedication errorsQatar Reason’s accident causation modelSeverity<h3>Background</h3><p dir="ltr">Medication errors are a major public health concern that negatively impact patient safety and health outcomes. Effective and efficient medication error reporting systems and practices are imperative in reducing error incidence and severity. </p><h3>Objective </h3><p dir="ltr">The objectives were to quantify the incidence, nature and severity of medication errors, and to explore potential causality using a theoretical framework. </p><h3>Setting</h3><p dir="ltr">The study was conducted at Hamad Medical Corporation, the largest public funded academic healthcare center in the state of Qatar. </p><h3>Methods</h3><p dir="ltr">A retrospective review of medication error reports submitted to the Hamad Medical Corporation incident reporting system during 2015 to 2017. Data related to number of reports, reporter, medication, severity and outcomes were extracted. Reason’s Accident Causation Model was used as a theoretical framework for identifying potential causality. Two researchers independently categorized errors as: active failures (e.g. forgetting to administer medication at scheduled time); error provoking conditions (e.g. medication prescribed by an unauthorized physician and administered to the patient); and latent failures (e.g. organizational factors, lack of resources). </p><h3>Main outcome measures</h3><p dir="ltr">Incidence, classes of medications, reporter, error severity and outcomes, potential causality. </p><h3>Results</h3><p dir="ltr">A total of 5103 reports provided sufficient information to be included in the study giving an estimated error incidence of 0.044% of prescribed medication items. Most of the reports (91.5%, n = 4667) were submitted by pharmacists and majority (87.9%, n = 4485) were prescribing errors. The most commonly reported medications were anti-infectives for systemic use (22.0%, n = 1123) followed by medications to treat nervous system disorders (17.2%, n = 876). Only three errors reported to have caused temporary harm requiring intervention while one contributed to or resulted in temporary harm requiring initial or prolonged hospitalization. In terms of potential causality of medication errors, the majority (91.5%, n = 4671) were classified as active failures. </p><h3>Conclusion</h3><p dir="ltr">Almost all reports were submitted by pharmacists, indicating likely under-reporting affecting the actual incidence. Effort is required to increase the effectiveness and efficiency of the reporting system. The use of the theoretical framework allowed identification of potential causality, largely in relation to active failures, which can inform the basis of interventions to improve medication safety.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Clinical Pharmacy<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s11096-020-01108-y" target="_blank">http://dx.doi.org/10.1007/s11096-020-01108-y</a></p>2022-11-22T21:14:06ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s11096-020-01108-yhttps://figshare.com/articles/journal_contribution/Investigating_the_incidence_nature_severity_and_potential_causality_of_medication_errors_in_hospital_settings_in_Qatar/21597450CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215974502022-11-22T21:14:06Z |
| spellingShingle | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar Binny Thomas (5801969) Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Causes Error reporting Incidence Medication errors Qatar Reason’s accident causation model Severity |
| status_str | publishedVersion |
| title | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| title_full | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| title_fullStr | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| title_full_unstemmed | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| title_short | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| title_sort | Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar |
| topic | Biomedical and clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Causes Error reporting Incidence Medication errors Qatar Reason’s accident causation model Severity |