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Adoption of DoD HFACS for medication error analysis
Sunaryo I.a, Sundara G.a, Widyanti A.a
a Department of Industrial Engineering, Institut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 Author(s).In the medical setting, medication errors are not merely about an error done by an individual since the personnel is one of the elements of the patient care system. For the purpose of analyzing the cause of medication errors by tracing to compound layers – from the organizational layer to the pharmaceutical personnel layer, the 7th version of the US Department of Defends Human Factors Analysis and Classification System (DoD HFACS 7.0) is applied. The aim of the present study is to adopt the DoD HFACS 7.0 questionnaire into the medical setting so that it can be used to observe the cause of medication error. However, in order to gain an effective application of DoD HFACS 7.0 for pharmaceutical workers in Indonesia, it needs to be adopted to devise Med HFACS. The result shows that out of 109 sub-categories in DoD HFACS 7.0, as many as 90 subcategories can be included in Med HFACS. Meanwhile, 19 sub-categories are not included because they are less relevant to the pharmaceutical field as well as they potentially cause bias if attached in the duties of professional pharmacy personnel.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]Authors thank to the Indonesian Ministry of Research and Higher Education for supporting this research under the scheme of grant PTUPT fiscal year 2018-2019.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.5112414[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]