Loading…

PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?

IntroductionMedical device health technology assessment (HTA) in Australia is largely coordinated by the Medical Services Advisory Committee (MSAC). Its remit to improve the public’s health by deciding where to allocate public healthcare funding, can be enhanced by considering real world evidence (R...

Full description

Saved in:
Bibliographic Details
Published in:International journal of technology assessment in health care 2023-12, Vol.39 (S1), p.S91-S91
Main Authors: Challis, Gabrielle, Hill, Michelle, Strachan, Liesl, King, Kate, Shawon, Shajedur Rahman, Sotade, Oluwadamisola, Jorm, Louisa
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page S91
container_issue S1
container_start_page S91
container_title International journal of technology assessment in health care
container_volume 39
creator Challis, Gabrielle
Hill, Michelle
Strachan, Liesl
King, Kate
Shawon, Shajedur Rahman
Sotade, Oluwadamisola
Jorm, Louisa
description IntroductionMedical device health technology assessment (HTA) in Australia is largely coordinated by the Medical Services Advisory Committee (MSAC). Its remit to improve the public’s health by deciding where to allocate public healthcare funding, can be enhanced by considering real world evidence (RWE). Existing data sources have limitations that can be addressed through RWE, including coverage of Australian patient populations who may not meet trial eligibility criteria, and long-term follow-up through data linkage and datasets. We partnered with a university to explore what information could be gained from an analysis of linked administrative patient data, with a view to addressing current evidence gaps and/or limitations. The findings can be used as a source of local data to define patient populations, estimate actual costs of care, and enable more comprehensive economic modeling to inform medical device HTA.MethodsThe University-developed New South Wales Cardiovascular Cohort dataset, comprising person-level longitudinal NSW administrative data for all patients admitted to hospital with a cardiovascular diagnosis from 2001 onwards, linked to national Medicare Benefits Schedule and Pharmaceutical Benefits Scheme claims data, was interrogated.ResultsWorking with RWE is resource intensive in terms of time and costs. The potential of these data was revealed as the research progressed. It was possible to continually refine the data analyzed and reported,as well as expand the data requested. Varied expertise is required to accurately analyze the administrative datasets, particularly clinical classification skills and expertise in methods for causal inference using observational data. Findings from this study will enable the refinement of information for MSAC submissions, including identifying the most relevant patient population and reporting comprehensive costs, beyond an admitted hospital setting. The data will enhance engagement with clinicians and refine messaging, for example regarding patient risk factors.ConclusionsRWE enhances Australian HTA applications. Local data, extended periods of time and insights not apparent from a focus on admitted hospital episodes can be revealed. Data can be refined during the process for specificity and applicability.
doi_str_mv 10.1017/S0266462323002519
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2901103302</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0266462323002519</cupid><sourcerecordid>2901103302</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1579-2c91c7bca32f7f24e760aa51e0ff92a03f152a2740623c16570b7b9839ba01563</originalsourceid><addsrcrecordid>eNp1kE9PwjAYxhujiYh-AG9NvMBh-r7ttrKTWRCFhASCGI5L17UwHBu2mwnf3hFIPBhP7-H3_Mn7EHKP8IiA4ukdWBj6IeOMA7AAowvSQV-gF3J_cEk6R-wd-TW5cW4LgBwi6JDP-byV0dVG1vSl0o4utCzoqrJFRkffeaZLpWlvsRr16cwYbem45fWGLrXalFVRrQ80dk47t9NlTXvjZdync1spnTW2TZuUNG5cbWWRy-dbcmVk4fTd-XbJx-toORx709nbZBhPPYWBiDymIlQiVZIzIwzztQhBygA1GBMxCdxgwCQTPrTvKAwDAalIowGPUgkYhLxLHk65e1t9NdrVybZqbNlWJiwCROAcWKvCk0rZyjmrTbK3-U7aQ4KQHDdN_mzaevjZI3epzbO1_o3-3_UD1KR0yQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2901103302</pqid></control><display><type>article</type><title>PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?</title><source>Cambridge Journals Online</source><source>ABI/INFORM global</source><source>PubMed Central</source><creator>Challis, Gabrielle ; Hill, Michelle ; Strachan, Liesl ; King, Kate ; Shawon, Shajedur Rahman ; Sotade, Oluwadamisola ; Jorm, Louisa</creator><creatorcontrib>Challis, Gabrielle ; Hill, Michelle ; Strachan, Liesl ; King, Kate ; Shawon, Shajedur Rahman ; Sotade, Oluwadamisola ; Jorm, Louisa</creatorcontrib><description>IntroductionMedical device health technology assessment (HTA) in Australia is largely coordinated by the Medical Services Advisory Committee (MSAC). Its remit to improve the public’s health by deciding where to allocate public healthcare funding, can be enhanced by considering real world evidence (RWE). Existing data sources have limitations that can be addressed through RWE, including coverage of Australian patient populations who may not meet trial eligibility criteria, and long-term follow-up through data linkage and datasets. We partnered with a university to explore what information could be gained from an analysis of linked administrative patient data, with a view to addressing current evidence gaps and/or limitations. The findings can be used as a source of local data to define patient populations, estimate actual costs of care, and enable more comprehensive economic modeling to inform medical device HTA.MethodsThe University-developed New South Wales Cardiovascular Cohort dataset, comprising person-level longitudinal NSW administrative data for all patients admitted to hospital with a cardiovascular diagnosis from 2001 onwards, linked to national Medicare Benefits Schedule and Pharmaceutical Benefits Scheme claims data, was interrogated.ResultsWorking with RWE is resource intensive in terms of time and costs. The potential of these data was revealed as the research progressed. It was possible to continually refine the data analyzed and reported,as well as expand the data requested. Varied expertise is required to accurately analyze the administrative datasets, particularly clinical classification skills and expertise in methods for causal inference using observational data. Findings from this study will enable the refinement of information for MSAC submissions, including identifying the most relevant patient population and reporting comprehensive costs, beyond an admitted hospital setting. The data will enhance engagement with clinicians and refine messaging, for example regarding patient risk factors.ConclusionsRWE enhances Australian HTA applications. Local data, extended periods of time and insights not apparent from a focus on admitted hospital episodes can be revealed. Data can be refined during the process for specificity and applicability.</description><identifier>ISSN: 0266-4623</identifier><identifier>EISSN: 1471-6348</identifier><identifier>DOI: 10.1017/S0266462323002519</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Costs ; Datasets ; Economic models ; Government programs ; Health services ; Health technology assessment ; Hospitals ; Medical devices ; Medical electronics ; Medical equipment ; Patients ; Populations ; Poster Presentations ; Risk factors ; Technology assessment</subject><ispartof>International journal of technology assessment in health care, 2023-12, Vol.39 (S1), p.S91-S91</ispartof><rights>The Author(s), 2023. Published by Cambridge University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2901103302/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2901103302?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,72960,74895</link.rule.ids></links><search><creatorcontrib>Challis, Gabrielle</creatorcontrib><creatorcontrib>Hill, Michelle</creatorcontrib><creatorcontrib>Strachan, Liesl</creatorcontrib><creatorcontrib>King, Kate</creatorcontrib><creatorcontrib>Shawon, Shajedur Rahman</creatorcontrib><creatorcontrib>Sotade, Oluwadamisola</creatorcontrib><creatorcontrib>Jorm, Louisa</creatorcontrib><title>PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?</title><title>International journal of technology assessment in health care</title><addtitle>Int J Technol Assess Health Care</addtitle><description>IntroductionMedical device health technology assessment (HTA) in Australia is largely coordinated by the Medical Services Advisory Committee (MSAC). Its remit to improve the public’s health by deciding where to allocate public healthcare funding, can be enhanced by considering real world evidence (RWE). Existing data sources have limitations that can be addressed through RWE, including coverage of Australian patient populations who may not meet trial eligibility criteria, and long-term follow-up through data linkage and datasets. We partnered with a university to explore what information could be gained from an analysis of linked administrative patient data, with a view to addressing current evidence gaps and/or limitations. The findings can be used as a source of local data to define patient populations, estimate actual costs of care, and enable more comprehensive economic modeling to inform medical device HTA.MethodsThe University-developed New South Wales Cardiovascular Cohort dataset, comprising person-level longitudinal NSW administrative data for all patients admitted to hospital with a cardiovascular diagnosis from 2001 onwards, linked to national Medicare Benefits Schedule and Pharmaceutical Benefits Scheme claims data, was interrogated.ResultsWorking with RWE is resource intensive in terms of time and costs. The potential of these data was revealed as the research progressed. It was possible to continually refine the data analyzed and reported,as well as expand the data requested. Varied expertise is required to accurately analyze the administrative datasets, particularly clinical classification skills and expertise in methods for causal inference using observational data. Findings from this study will enable the refinement of information for MSAC submissions, including identifying the most relevant patient population and reporting comprehensive costs, beyond an admitted hospital setting. The data will enhance engagement with clinicians and refine messaging, for example regarding patient risk factors.ConclusionsRWE enhances Australian HTA applications. Local data, extended periods of time and insights not apparent from a focus on admitted hospital episodes can be revealed. Data can be refined during the process for specificity and applicability.</description><subject>Costs</subject><subject>Datasets</subject><subject>Economic models</subject><subject>Government programs</subject><subject>Health services</subject><subject>Health technology assessment</subject><subject>Hospitals</subject><subject>Medical devices</subject><subject>Medical electronics</subject><subject>Medical equipment</subject><subject>Patients</subject><subject>Populations</subject><subject>Poster Presentations</subject><subject>Risk factors</subject><subject>Technology assessment</subject><issn>0266-4623</issn><issn>1471-6348</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kE9PwjAYxhujiYh-AG9NvMBh-r7ttrKTWRCFhASCGI5L17UwHBu2mwnf3hFIPBhP7-H3_Mn7EHKP8IiA4ukdWBj6IeOMA7AAowvSQV-gF3J_cEk6R-wd-TW5cW4LgBwi6JDP-byV0dVG1vSl0o4utCzoqrJFRkffeaZLpWlvsRr16cwYbem45fWGLrXalFVRrQ80dk47t9NlTXvjZdync1spnTW2TZuUNG5cbWWRy-dbcmVk4fTd-XbJx-toORx709nbZBhPPYWBiDymIlQiVZIzIwzztQhBygA1GBMxCdxgwCQTPrTvKAwDAalIowGPUgkYhLxLHk65e1t9NdrVybZqbNlWJiwCROAcWKvCk0rZyjmrTbK3-U7aQ4KQHDdN_mzaevjZI3epzbO1_o3-3_UD1KR0yQ</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Challis, Gabrielle</creator><creator>Hill, Michelle</creator><creator>Strachan, Liesl</creator><creator>King, Kate</creator><creator>Shawon, Shajedur Rahman</creator><creator>Sotade, Oluwadamisola</creator><creator>Jorm, Louisa</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7U5</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>H94</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L7M</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20231201</creationdate><title>PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?</title><author>Challis, Gabrielle ; Hill, Michelle ; Strachan, Liesl ; King, Kate ; Shawon, Shajedur Rahman ; Sotade, Oluwadamisola ; Jorm, Louisa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1579-2c91c7bca32f7f24e760aa51e0ff92a03f152a2740623c16570b7b9839ba01563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Costs</topic><topic>Datasets</topic><topic>Economic models</topic><topic>Government programs</topic><topic>Health services</topic><topic>Health technology assessment</topic><topic>Hospitals</topic><topic>Medical devices</topic><topic>Medical electronics</topic><topic>Medical equipment</topic><topic>Patients</topic><topic>Populations</topic><topic>Poster Presentations</topic><topic>Risk factors</topic><topic>Technology assessment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Challis, Gabrielle</creatorcontrib><creatorcontrib>Hill, Michelle</creatorcontrib><creatorcontrib>Strachan, Liesl</creatorcontrib><creatorcontrib>King, Kate</creatorcontrib><creatorcontrib>Shawon, Shajedur Rahman</creatorcontrib><creatorcontrib>Sotade, Oluwadamisola</creatorcontrib><creatorcontrib>Jorm, Louisa</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ABI/INFORM global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of technology assessment in health care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Challis, Gabrielle</au><au>Hill, Michelle</au><au>Strachan, Liesl</au><au>King, Kate</au><au>Shawon, Shajedur Rahman</au><au>Sotade, Oluwadamisola</au><au>Jorm, Louisa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?</atitle><jtitle>International journal of technology assessment in health care</jtitle><addtitle>Int J Technol Assess Health Care</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>39</volume><issue>S1</issue><spage>S91</spage><epage>S91</epage><pages>S91-S91</pages><issn>0266-4623</issn><eissn>1471-6348</eissn><abstract>IntroductionMedical device health technology assessment (HTA) in Australia is largely coordinated by the Medical Services Advisory Committee (MSAC). Its remit to improve the public’s health by deciding where to allocate public healthcare funding, can be enhanced by considering real world evidence (RWE). Existing data sources have limitations that can be addressed through RWE, including coverage of Australian patient populations who may not meet trial eligibility criteria, and long-term follow-up through data linkage and datasets. We partnered with a university to explore what information could be gained from an analysis of linked administrative patient data, with a view to addressing current evidence gaps and/or limitations. The findings can be used as a source of local data to define patient populations, estimate actual costs of care, and enable more comprehensive economic modeling to inform medical device HTA.MethodsThe University-developed New South Wales Cardiovascular Cohort dataset, comprising person-level longitudinal NSW administrative data for all patients admitted to hospital with a cardiovascular diagnosis from 2001 onwards, linked to national Medicare Benefits Schedule and Pharmaceutical Benefits Scheme claims data, was interrogated.ResultsWorking with RWE is resource intensive in terms of time and costs. The potential of these data was revealed as the research progressed. It was possible to continually refine the data analyzed and reported,as well as expand the data requested. Varied expertise is required to accurately analyze the administrative datasets, particularly clinical classification skills and expertise in methods for causal inference using observational data. Findings from this study will enable the refinement of information for MSAC submissions, including identifying the most relevant patient population and reporting comprehensive costs, beyond an admitted hospital setting. The data will enhance engagement with clinicians and refine messaging, for example regarding patient risk factors.ConclusionsRWE enhances Australian HTA applications. Local data, extended periods of time and insights not apparent from a focus on admitted hospital episodes can be revealed. Data can be refined during the process for specificity and applicability.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><doi>10.1017/S0266462323002519</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0266-4623
ispartof International journal of technology assessment in health care, 2023-12, Vol.39 (S1), p.S91-S91
issn 0266-4623
1471-6348
language eng
recordid cdi_proquest_journals_2901103302
source Cambridge Journals Online; ABI/INFORM global; PubMed Central
subjects Costs
Datasets
Economic models
Government programs
Health services
Health technology assessment
Hospitals
Medical devices
Medical electronics
Medical equipment
Patients
Populations
Poster Presentations
Risk factors
Technology assessment
title PP147 What Does Real World Evidence (RWE) Offer Health Technology Assessment (HTA) Procedures In Australia?
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T13%3A52%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PP147%20What%20Does%20Real%20World%20Evidence%20(RWE)%20Offer%20Health%20Technology%20Assessment%20(HTA)%20Procedures%20In%20Australia?&rft.jtitle=International%20journal%20of%20technology%20assessment%20in%20health%20care&rft.au=Challis,%20Gabrielle&rft.date=2023-12-01&rft.volume=39&rft.issue=S1&rft.spage=S91&rft.epage=S91&rft.pages=S91-S91&rft.issn=0266-4623&rft.eissn=1471-6348&rft_id=info:doi/10.1017/S0266462323002519&rft_dat=%3Cproquest_cross%3E2901103302%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1579-2c91c7bca32f7f24e760aa51e0ff92a03f152a2740623c16570b7b9839ba01563%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2901103302&rft_id=info:pmid/&rft_cupid=10_1017_S0266462323002519&rfr_iscdi=true