{"formData":{"rowAttribute":{"AttributeSetId":19435879,"AttributeId":19437676,"AttributeName":"Study Outcomes","AttributeDescription":"","ExtURL":"","ExtType":""},"showRowDescriptions":false,"columnAttribute":{"AttributeSetId":19435847,"AttributeId":19437644,"AttributeName":"Study Parameters","AttributeDescription":"","ExtURL":"","ExtType":""},"showColumnDescriptions":false,"segmentAttribute":{"AttributeSetId":19435842,"AttributeId":19437639,"AttributeName":"Evidence type","AttributeDescription":"","ExtURL":"","ExtType":""},"segmentAttributes":[{"attribute":{"AttributeDescription":"","ExtURL":"","ExtType":"","OriginalAttributeID":19044512,"OldestKnownId":19044512,"AttributeSetId":19435843,"AttributeId":19437640,"AttributeSetDescription":"","AttributeType":"Selectable (show checkbox)","AttributeTypeId":2,"AttributeName":"Full paper (Primary evidence)"},"color":"#AE5CB8","isLight":false},{"attribute":{"AttributeDescription":"","ExtURL":"","ExtType":"","OriginalAttributeID":19044513,"OldestKnownId":19044513,"AttributeSetId":19435844,"AttributeId":19437641,"AttributeSetDescription":"","AttributeType":"Selectable (show checkbox)","AttributeTypeId":2,"AttributeName":"Full Paper (Review)"},"color":"#11C3D9","isLight":false},{"attribute":{"AttributeDescription":"","ExtURL":"","ExtType":"","OriginalAttributeID":19044514,"OldestKnownId":19044514,"AttributeSetId":19435845,"AttributeId":19437642,"AttributeSetDescription":"","AttributeType":"Selectable (show checkbox)","AttributeTypeId":2,"AttributeName":"Conference abstract"},"color":"#D80202","isLight":false},{"attribute":{"AttributeDescription":"","ExtURL":"","ExtType":"","OriginalAttributeID":19044515,"OldestKnownId":19044515,"AttributeSetId":19435846,"AttributeId":19437643,"AttributeSetDescription":"","AttributeType":"Selectable (show checkbox)","AttributeTypeId":2,"AttributeName":"Foreign language paper"},"color":"#C7D802","isLight":false}],"filterAttributes":[{"AttributeSetId":19435842,"AttributeId":19437639,"AttributeName":"Evidence type","AttributeDescription":"","ExtURL":"","ExtType":""},{"AttributeSetId":19973908,"AttributeId":19975748,"AttributeName":"Accounted for Volume","AttributeDescription":"","ExtURL":"","ExtType":""},{"AttributeSetId":19435908,"AttributeId":19437705,"AttributeName":"Country","AttributeDescription":"","ExtURL":"","ExtType":""},{"AttributeSetId":19435896,"AttributeId":19437693,"AttributeName":"Date of publication","AttributeDescription":"","ExtURL":"","ExtType":""},{"AttributeSetId":19435903,"AttributeId":19437700,"AttributeName":"Economic region","AttributeDescription":"","ExtURL":"","ExtType":""}],"autoOpenFilter":false,"metaProperties":["DOI","URL","Title","Authors"],"removeAbstracts":false,"summaryAttribute":"","aboutContent":"<p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>What is the Evidence Gap Map?</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>The Evidence and Gap Map (EGM) displays an interactive snapshot of the available literature examining the use of multiple blood cultures or blood culture sets for detecting bloodstream infections.</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>The literature has been segmented according to the type of evidence it is (Primary evidence, reviews, conference abstracts and foreign language papers), with each bubble indicating a different type of evidence.</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>&nbsp;</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>What does the map do?</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>The map can direct you to relevant studies across a variety of participant types, settings, study focus and outcome domains. The map cannot tell you exactly what findings an individual study has reported. To discover this, users need to consult the individual underlying studies.&nbsp;</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>&nbsp;</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>How do I filter the studies?</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>There is a filter function on the top left hand of the screen. A number of filter options have been provided to look at a subset of the data. Currently, the map can be filtered on the evidence type, the date of publication, the country of publication and the economic regions of this country.&nbsp;</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>In order to use this function, check the filters you wish to apply to the map, click 'update' and the map will now only display a subset of the data that applies to the options you have selected. Additionally, when selecting multiple filters the AND option will display studies that meet all the ticked specifications, whereas the OR feature will display studies that meet any one of the specifications.</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>&nbsp;</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>Can I search the map for specific studies?</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>You can search for specific words and phrases by 'title', 'abstract' or 'author' (or all of these). This is done by clicking on 'view records' at the top of the page. Select where you wish to search in the drop-down menu and type your search request into the top right section of the pop up (in the box called filter).&nbsp;</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>&nbsp;</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>Can I download references?</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>Yes, you can download references. When viewing and filtering studies in the map, you will see a button in the top-right that says 'Download listed reference'.</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>&nbsp;</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><strong><span style='font-family:\"Arial\",sans-serif;color:black;'>Can I change the map style?&nbsp;</span></strong></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:\"Calibri\",sans-serif;margin-top:0cm;margin-bottom:8.0pt;line-height:107%;background:white;'><span style='font-family:\"Arial\",sans-serif;color:black;'>The EGM may be viewed in several ways. To see other presentation styles, click on 'filters' and select 'style' on the right-hand side of the menu. You have the option of selecting a bubble-map, a heat-map, a mosaic or a donut-map. 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