Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital
This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key p...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Molesworth, Brett [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved. © COPYRIGHT 2016 Elsevier B.V. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Applied ergonomics - Oxford : Elsevier, 1969, 52(2016), Seite 185-195 |
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| Übergeordnetes Werk: |
volume:52 ; year:2016 ; pages:185-195 |
| Links: |
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| DOI / URN: |
10.1016/j.apergo.2015.07.018 |
|---|
| Katalog-ID: |
OLC1970445335 |
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| 520 | |a This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. | ||
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10.1016/j.apergo.2015.07.018 doi PQ20160212 (DE-627)OLC1970445335 (DE-599)GBVOLC1970445335 (PRQ)c2383-a0c994d8b13379403b05ea985867b6a74a1a8f5338c8a3942c545157703e97fd0 (KEY)0009042520160000052000000185applicationofahumanfactorsclassificationframeworkf DE-627 ger DE-627 rakwb eng 330 DNB Molesworth, Brett verfasserin aut Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. Nutzungsrecht: Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved. © COPYRIGHT 2016 Elsevier B.V. Care and treatment Safety and security measures Patients Hospitals Errors Patient safety Ergonomics Human factors research Williamson, Ann oth Mitchell, Rebecca J oth Enthalten in Applied ergonomics Oxford : Elsevier, 1969 52(2016), Seite 185-195 (DE-627)129537195 (DE-600)216404-8 (DE-576)014968223 0003-6870 nnns volume:52 year:2016 pages:185-195 http://dx.doi.org/10.1016/j.apergo.2015.07.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26360210 http://search.proquest.com/docview/1715930089 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4266 AR 52 2016 185-195 |
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10.1016/j.apergo.2015.07.018 doi PQ20160212 (DE-627)OLC1970445335 (DE-599)GBVOLC1970445335 (PRQ)c2383-a0c994d8b13379403b05ea985867b6a74a1a8f5338c8a3942c545157703e97fd0 (KEY)0009042520160000052000000185applicationofahumanfactorsclassificationframeworkf DE-627 ger DE-627 rakwb eng 330 DNB Molesworth, Brett verfasserin aut Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. Nutzungsrecht: Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved. © COPYRIGHT 2016 Elsevier B.V. Care and treatment Safety and security measures Patients Hospitals Errors Patient safety Ergonomics Human factors research Williamson, Ann oth Mitchell, Rebecca J oth Enthalten in Applied ergonomics Oxford : Elsevier, 1969 52(2016), Seite 185-195 (DE-627)129537195 (DE-600)216404-8 (DE-576)014968223 0003-6870 nnns volume:52 year:2016 pages:185-195 http://dx.doi.org/10.1016/j.apergo.2015.07.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26360210 http://search.proquest.com/docview/1715930089 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4266 AR 52 2016 185-195 |
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Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital |
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Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital |
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Molesworth, Brett |
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Applied ergonomics |
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eng |
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Molesworth, Brett |
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Molesworth, Brett |
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10.1016/j.apergo.2015.07.018 |
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330 |
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application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital |
| title_auth |
Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital |
| abstract |
This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. |
| abstractGer |
This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. |
| abstract_unstemmed |
This study aimed to identify temporal precursor and associated contributing factors for adverse clinical incidents in a hospital setting using the Human Factors Classification Framework (HFCF) for patient safety. A random sample of 498 clinical incidents were reviewed. The framework identified key precursor events (PE), contributing factors (CF) and the prime causes of incidents. Descriptive statistics and correspondence analysis were used to examine incident characteristics. Staff action was the most common type of PE identified. Correspondence analysis for all PEs that involved staff action by error type showed that rule-based errors were strongly related to performing medical or monitoring tasks or the administration of medication. Skill-based errors were strongly related to misdiagnoses. Factors relating to the organisation (66.9%) or the patient (53.2%) were the most commonly identified CFs. The HFCF for patient safety was able to identify patterns of causation for the clinical incidents, highlighting the need for targeted preventive approaches, based on an understanding of how and why incidents occur. |
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| title_short |
Application of a human factors classification framework for patient safety to identify precursor and contributing factors to adverse clinical incidents in hospital |
| url |
http://dx.doi.org/10.1016/j.apergo.2015.07.018 http://www.ncbi.nlm.nih.gov/pubmed/26360210 http://search.proquest.com/docview/1715930089 |
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Williamson, Ann Mitchell, Rebecca J |
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10.1016/j.apergo.2015.07.018 |
| up_date |
2024-07-03T15:23:58.123Z |
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