scholarly journals Medication safety incidents in paediatric oncology after electronic medication management system implementation

2019 ◽  
Vol 28 (6) ◽  
Author(s):  
Valentina Lichtner ◽  
Melissa Baysari ◽  
Peter Gates ◽  
Luciano Dalla‐Pozza ◽  
Johanna I. Westbrook
2016 ◽  
Vol 45 (suppl 2) ◽  
pp. ii13.14-ii56
Author(s):  
Anne Marie O'Regan ◽  
Neil Mackay ◽  
Michael O'Connor ◽  
Margaret Bermingham

2020 ◽  
Author(s):  
Andrew Baumgartner ◽  
Taylor Kunkes ◽  
Collin M Clark ◽  
Laura A Brady ◽  
Scott V Monte ◽  
...  

BACKGROUND Despite making great strides in improving the treatment of diseases, the minimization of unintended harm by medication therapy continues to be a major hurdle facing the health care system. Medication error and prescription of potentially inappropriate medications (PIMs) represent a prevalent source of harm to patients and are associated with increased rates of adverse events, hospitalizations, and increased health care costs. Attempts to improve medication management systems in primary care have had mixed results. Implementation of new interventions is difficult because of complex contextual factors within the health care system. Abstraction hierarchy (AH), the first step in cognitive work analysis (CWA), is used by human factors practitioners to describe complex sociotechnical systems. Although initially intended for the nuclear power domain and interface design, AH has been used successfully to aid the redesign of numerous health care systems such as the design of decision support tools, mobile patient monitoring apps, and a telephone triage system. OBJECTIVE This paper aims to refine our understanding of the primary care office in relation to a patient’s medication through the development of an AH. Emphasis was placed on the elements related to medication safety to provide guidance for the design of a safer medication management system in primary care. METHODS The AH development was guided by the methodology used by seminal CWA literature. It was initially developed by 2 authors and later fine-tuned by an expert panel of clinicians, social scientists, and a human factors engineer. It was subsequently refined until an agreement was reached. A means-ends analysis was performed and described for the nodes of interest. The model represents the primary care office space through functional purposes, values and priorities, function-related purposes, object-related processes, and physical objects. RESULTS This model depicts the medication management system at various levels of abstraction. The resulting components must be balanced and coordinated to provide medical treatment with limited health care resources. Understanding the physical and informational constraints on activities that occur in a primary care office depicted in the AH defines areas in which medication safety can be improved. CONCLUSIONS Numerous means-ends relationships were identified and analyzed. These can be further evaluated depending on the specific needs of the user. Recommendations for optimizing a medication management system in a primary care facility were made. Individual practices can use AH for clinical redesign to improve prescribing and deprescribing practices.


10.2196/18103 ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. e18103
Author(s):  
Andrew Baumgartner ◽  
Taylor Kunkes ◽  
Collin M Clark ◽  
Laura A Brady ◽  
Scott V Monte ◽  
...  

Background Despite making great strides in improving the treatment of diseases, the minimization of unintended harm by medication therapy continues to be a major hurdle facing the health care system. Medication error and prescription of potentially inappropriate medications (PIMs) represent a prevalent source of harm to patients and are associated with increased rates of adverse events, hospitalizations, and increased health care costs. Attempts to improve medication management systems in primary care have had mixed results. Implementation of new interventions is difficult because of complex contextual factors within the health care system. Abstraction hierarchy (AH), the first step in cognitive work analysis (CWA), is used by human factors practitioners to describe complex sociotechnical systems. Although initially intended for the nuclear power domain and interface design, AH has been used successfully to aid the redesign of numerous health care systems such as the design of decision support tools, mobile patient monitoring apps, and a telephone triage system. Objective This paper aims to refine our understanding of the primary care office in relation to a patient’s medication through the development of an AH. Emphasis was placed on the elements related to medication safety to provide guidance for the design of a safer medication management system in primary care. Methods The AH development was guided by the methodology used by seminal CWA literature. It was initially developed by 2 authors and later fine-tuned by an expert panel of clinicians, social scientists, and a human factors engineer. It was subsequently refined until an agreement was reached. A means-ends analysis was performed and described for the nodes of interest. The model represents the primary care office space through functional purposes, values and priorities, function-related purposes, object-related processes, and physical objects. Results This model depicts the medication management system at various levels of abstraction. The resulting components must be balanced and coordinated to provide medical treatment with limited health care resources. Understanding the physical and informational constraints on activities that occur in a primary care office depicted in the AH defines areas in which medication safety can be improved. Conclusions Numerous means-ends relationships were identified and analyzed. These can be further evaluated depending on the specific needs of the user. Recommendations for optimizing a medication management system in a primary care facility were made. Individual practices can use AH for clinical redesign to improve prescribing and deprescribing practices.


2019 ◽  
Vol 49 (4) ◽  
pp. 317-323
Author(s):  
Melissa T. Baysari ◽  
Rae‐Anne Hardie ◽  
Peter Barclay ◽  
Johanna I. Westbrook

2021 ◽  
Vol 51 ◽  
pp. 28-37
Author(s):  
Maria Angeles Tebar Betegon ◽  
Víctor Baladrón González ◽  
Natalia Bejarano Ramírez ◽  
Alejandro Martínez Arce ◽  
Juan Rodríguez De Guzmán ◽  
...  

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