{"id":1204,"date":"2020-10-29T00:00:00","date_gmt":"2020-10-29T00:00:00","guid":{"rendered":"https:\/\/nari.extreme-marketing.com.au\/marc\/marc_research\/recognising-patients-at-risk-of-dying\/"},"modified":"2026-08-13T15:42:04","modified_gmt":"2026-08-13T15:42:04","slug":"recognising-patients-at-risk-of-dying","status":"publish","type":"marc_research","link":"https:\/\/nari.extreme-marketing.com.au\/marc\/marc_research\/recognising-patients-at-risk-of-dying\/","title":{"rendered":"READY: Recognising Patients at Risk of Dying"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;84px||70px||true|true&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; max_width=&#8221;1366px&#8221; custom_padding=&#8221;0px||0px||true|true&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Lato|500|||||||&#8221; header_2_text_color=&#8221;#1F1F1F&#8221; header_2_font_size=&#8221;40px&#8221; header_2_line_height=&#8221;1.18em&#8221; header_2_font_size_tablet=&#8221;32px&#8221; header_2_font_size_phone=&#8221;27px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;||20px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Problem<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The first MARC end-of-life project identified gaps in the documentation of older people&#8217;s care preferences towards the end of life, using interviews and audits of existing healthcare records. Considerable difficulties in the recognition of dying were highlighted. When staff are not aware or acknowledging that a patient is dying, provision of palliative care and end-of-life conversations may be delayed. Hence, ways to improve early recognition of end-of-life care stages and care needs are required. This project seeks to support clinical staff in the recognition of dying through the use of an existing, validated prognostic tool.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Lato|500|||||||&#8221; header_2_text_color=&#8221;#1F1F1F&#8221; header_2_font_size=&#8221;40px&#8221; header_2_line_height=&#8221;1.18em&#8221; header_2_font_size_tablet=&#8221;32px&#8221; header_2_font_size_phone=&#8221;27px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;||20px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Design<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Focus on patients at important points of transition, i.e. when they are being assessed as to whether they can be moved to a different setting such as subacute or residential aged care.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul style=\"margin:0;padding-left:22px;\">\n<li style=\"margin:0 0 8px;\">Prospective, mixed-methods design:<\/li>\n<li style=\"margin:0 0 8px;\">Phase 1. Baseline\/ Pre-training<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>a) Semi-structured staff interviews to examine current clinical practice, strategies and knowledge regarding the recognition of dying<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>b) Information collected from site&#8217;s data management system including a number of admissions, admission source, goals of care, length of stay, service referrals and discharge destination.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul style=\"margin:0;padding-left:22px;\">\n<li style=\"margin:0 0 8px;\">Phase 2. Training<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>a) Train staff in the use of a validated prognostic tool<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>b) Collect pre-post-training surveys to examine immanent effects of the training on staff&#8217;s confidence, knowledge and strategies regarding recognition of dying.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul style=\"margin:0;padding-left:22px;\">\n<li style=\"margin:0 0 8px;\">Phase 3. Follow-up\/ Post-training<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>a) Repeat semi-structured interviews and data collection through the site&#8217;s data management system three months post-training to identify if and how the tool use has affected clinical practice.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;Lato|500|||||||&#8221; header_2_text_color=&#8221;#1F1F1F&#8221; header_2_font_size=&#8221;40px&#8221; header_2_line_height=&#8221;1.18em&#8221; header_2_font_size_tablet=&#8221;32px&#8221; header_2_font_size_phone=&#8221;27px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;||20px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>MACH-MARC Webinar<\/h2>\n<p>[\/et_pb_text][et_pb_video src=&#8221;https:\/\/vimeo.com\/760108048&#8243; _builder_version=&#8221;4.27.7&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;760px&#8221; module_alignment=&#8221;left&#8221; custom_margin=&#8221;4px||26px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_video][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>On 13 October 2022, we collaborated with the Melbourne Academic Centre for Health (MACH) to host a joint webinar titled &#8216;Predicting Dying \u2013 Challenges and strategies in identifying patients at risk of dying&#8217;. MARC researcher Dr Katrin Gerber, Austin Health Geriatrician Dr Paul Yates and Northern Health Palliative Care Physician A\/Prof Barbara Hayes presented findings from the READY project. The webinar focused on:<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|400|||||||&#8221; text_text_color=&#8221;#2B3352&#8243; text_font_size=&#8221;17px&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||18px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul style=\"margin:0;padding-left:22px;\">\n<li style=\"margin:0 0 8px;\">Applying new knowledge about strategies used to identify patients at risk of dying<\/li>\n<li style=\"margin:0 0 8px;\">Gaining an in-depth understanding of the usefulness and limitations of prognostic tools in predicting life expectancies<\/li>\n<li style=\"margin:0 0 8px;\">Reflecting on managing uncertainty at the end of life.<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFF6EC&#8221; custom_padding=&#8221;70px||60px||true|true&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; max_width=&#8221;1366px&#8221; custom_padding=&#8221;0px||0px||true|true&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|700|||||||&#8221; text_text_color=&#8221;#E06E00&#8243; text_font_size=&#8221;11px&#8221; text_letter_spacing=&#8221;2px&#8221; text_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||14px||true|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>ABOUT THIS PROJECT<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"margin:0 0 4px;font-family:Roboto,Arial,sans-serif;font-weight:700;font-size:10px;letter-spacing:1.6px;text-transform:uppercase;color:#6E7591;\">COLLABORATORS<\/p>\n<p style=\"margin:0 0 22px;font-size:16px;line-height:1.7;color:#2B3352;\">NARI, Melbourne Health, Western Health, Northern Health, St Vincent&#8217;s Hospital, Deakin University, Monash University, North Western Melbourne Primary Health Network, Austin Health.<\/p>\n<p style=\"margin:0 0 6px;font-size:11px;font-weight:700;letter-spacing:1.5px;text-transform:uppercase;color:#6E7591;\">LAST UPDATED<\/p>\n<p style=\"margin:0 0 22px;font-size:16px;line-height:1.7;color:#2B3352;\">22 April 2026<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||26px||true|true&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/www.nari.net.au\/Handlers\/Download.ashx?IDMF=cfd7511e-a1e5-40e5-86e5-6f0b91751dfc&#8221; button_text=&#8221;Project Summary&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.27.7&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#1F1F1F&#8221; button_bg_color=&#8221;#FF8200&#8243; button_border_width=&#8221;2px&#8221; button_border_radius=&#8221;3px&#8221; button_font=&#8221;Roboto|400|||||||&#8221; button_text_size=&#8221;16px&#8221; custom_margin=&#8221;0px|14px|10px|0px|true|true&#8221; custom_padding=&#8221;13px|24px|13px|24px|true|true&#8221; global_colors_info=&#8221;{}&#8221; button_border_color=&#8221;#FF8200&#8243;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ProblemThe first MARC end-of-life project identified gaps in the documentation of older people&#8217;s care preferences towards the end of life, using interviews and audits of existing healthcare records. Considerable difficulties in the recognition of dying were highlighted. When staff are not aware or acknowledging that a patient is dying, provision of palliative care and end-of-life [&hellip;]<\/p>\n","protected":false},"featured_media":1574,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"resource-topics":[14,17],"class_list":["post-1204","marc_research","type-marc_research","status-publish","has-post-thumbnail","hentry","marc_theme-end-of-life-care-research","marc_theme-hospital-care-research"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>READY: Recognising Patients at Risk of Dying - MARC<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"READY: Recognising Patients at Risk of Dying - MARC\" \/>\n<meta property=\"og:description\" content=\"ProblemThe first MARC end-of-life project identified gaps in the documentation of older people&#039;s care preferences towards the end of life, using interviews and audits of existing healthcare records. Considerable difficulties in the recognition of dying were highlighted. When staff are not aware or acknowledging that a patient is dying, provision of palliative care and end-of-life [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nari.extreme-marketing.com.au\/marc\/marc_research\/recognising-patients-at-risk-of-dying\/\" \/>\n<meta property=\"og:site_name\" content=\"MARC\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-13T15:42:04+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/\",\"url\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/\",\"name\":\"READY: Recognising Patients at Risk of Dying - MARC\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2026\\\/08\\\/nari-new-study-on-grief-in-older-people-hero-01.jpg\",\"datePublished\":\"2020-10-29T00:00:00+00:00\",\"dateModified\":\"2026-08-13T15:42:04+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/#primaryimage\",\"url\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2026\\\/08\\\/nari-new-study-on-grief-in-older-people-hero-01.jpg\",\"contentUrl\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2026\\\/08\\\/nari-new-study-on-grief-in-older-people-hero-01.jpg\",\"width\":1900,\"height\":831},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/marc_research\\\/recognising-patients-at-risk-of-dying\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"READY: Recognising Patients at Risk of Dying\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/#website\",\"url\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/\",\"name\":\"MARC\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/nari.extreme-marketing.com.au\\\/marc\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"READY: Recognising Patients at Risk of Dying - MARC","robots":{"index":"noindex","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"en_US","og_type":"article","og_title":"READY: Recognising Patients at Risk of Dying - MARC","og_description":"ProblemThe first MARC end-of-life project identified gaps in the documentation of older people's care preferences towards the end of life, using interviews and audits of existing healthcare records. Considerable difficulties in the recognition of dying were highlighted. 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