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[\/et_pb_text][et_pb_image src=”https:\/\/injurytoolkit.cste.org\/wp-content\/uploads\/2025\/04\/online-classroom-02.png” title_text=”online-classroom-02″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”||||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Content” _builder_version=”4.16″ _module_preset=”default” custom_margin=”39px|||||” custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_padding=”3px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text ul_position=”inside” ul_item_indent=”30px” quote_border_weight=”10px” quote_border_color=”#4350ff” ul_item_indent_tablet=”” ul_item_indent_phone=”0px” ul_item_indent_last_edited=”on|phone” _builder_version=”4.24.0″ _module_preset=”85ec5774-0b51-4075-9641-4e0e2e6ea9dd” text_font=”Montserrat|500|||||||” text_text_color=”#000000″ text_font_size=”15px” text_line_height=”1.8em” ul_line_height=”2em” quote_font=”||on||||||” quote_font_size=”24px” quote_line_height=”4.5em” custom_margin=”||4px|||” custom_padding=”3px||0px|||” text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|desktop” quote_font_size_tablet=”18px” quote_font_size_phone=”14px” quote_font_size_last_edited=”on|desktop” global_colors_info=”{%22gcid-1a1ef5e7-0e56-426b-aff4-02aa800905cc%22:%91%93}”]<\/p>\n
This section contains information on getting to know your data and assessing data quality.<\/span><\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” custom_margin=”-45px|auto||auto||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font_size=”20px” custom_margin=”||-41px|||” custom_padding=”||0px|||” global_colors_info=”{}”]<\/p>\n G<\/span>etting to Know Your Data<\/span><\/span>\u00a0<\/span><\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.24.0″ _module_preset=”default” custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text ul_position=”inside” ul_item_indent=”30px” quote_border_weight=”10px” quote_border_color=”#4350ff” ul_item_indent_tablet=”” ul_item_indent_phone=”0px” ul_item_indent_last_edited=”on|phone” _builder_version=”4.24.0″ _module_preset=”85ec5774-0b51-4075-9641-4e0e2e6ea9dd” text_font=”Montserrat|500|||||||” text_text_color=”#000000″ text_font_size=”15px” text_line_height=”1.8em” ul_line_height=”2em” quote_font=”||on||||||” quote_font_size=”24px” quote_line_height=”4.5em” custom_margin=”-35px|||||” text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|desktop” quote_font_size_tablet=”18px” quote_font_size_phone=”14px” quote_font_size_last_edited=”on|desktop” global_colors_info=”{%22gcid-1a1ef5e7-0e56-426b-aff4-02aa800905cc%22:%91%93}”]<\/p>\n <\/p>\n It is critical that injury epidemiologists spend some time exploring their data. Some recommendations for injury epidemiologists include:<\/span>\u00a0<\/span><\/p>\n \u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/injurytoolkit.cste.org\/wp-content\/uploads\/2025\/07\/ProviderCommunication_Icon_600px-300×240-1.png” title_text=”ProviderCommunication_Icon_600px” _builder_version=”4.24.0″ _module_preset=”default” width=”100%” custom_margin=”19px||||false|false” border_radii=”on|20px|20px|20px|20px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” custom_margin=”-26px|auto||auto||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”20px” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Accessing Data Quality<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”15px” global_colors_info=”{}”]<\/p>\n Before conducting any analyses, it is important to assess the quality of your data and understand any limitations or errors. The following document includes six measures developed to address potential quality issues in ICD-10-CM coded discharge data. It also includes two tables that illustrate injury diagnosis codes and codes that contain external cause of injury information (The subset of T, V, W, X, and Y codes* found in the ICD-10-CM external cause matrix).<\/span><\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text ul_position=”inside” ul_item_indent=”30px” quote_border_weight=”10px” quote_border_color=”#4350ff” ul_item_indent_tablet=”” ul_item_indent_phone=”0px” ul_item_indent_last_edited=”on|phone” _builder_version=”4.24.0″ _module_preset=”85ec5774-0b51-4075-9641-4e0e2e6ea9dd” text_font=”Montserrat|500|||||||” text_text_color=”#000000″ text_font_size=”15px” text_letter_spacing=”1px” text_line_height=”1.8em” ul_line_height=”2em” quote_font=”||on||||||” quote_font_size=”24px” quote_line_height=”4.5em” custom_margin=”-26px|||||” custom_padding=”0px|||||” hover_enabled=”0″ text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|desktop” quote_font_size_tablet=”18px” quote_font_size_phone=”14px” quote_font_size_last_edited=”on|desktop” global_colors_info=”{%22gcid-1a1ef5e7-0e56-426b-aff4-02aa800905cc%22:%91%93}” sticky_enabled=”0″]<\/p>\n <\/span><\/p>\n\n
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Examining drug overdoses by different coding and data characteristics will inform measures impacting data quality and provide a broader understanding of the drug overdose data. This document explores measures that may impact drug overdose data quality like completeness of data and measures that describe the cases included and excluded in the drug overdose indicators.
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