General practice utilisation of Medicare Benefits Schedule items to support the care of older patients: findings from the REDIRECT study.
Identifieur interne : 000E79 ( Main/Exploration ); précédent : 000E78; suivant : 000E80General practice utilisation of Medicare Benefits Schedule items to support the care of older patients: findings from the REDIRECT study.
Auteurs : Lyle R. Turner [Australie] ; Christopher Pearce [Australie] ; Bianca Brijnath [Australie] ; Colette Browning [République populaire de Chine] ; Judy Lowthian [Australie] ; Marianne Shearer [Australie] ; Danielle Mazza [Australie]Source :
- Australian journal of primary health [ 1448-7527 ] ; 2018.
Descripteurs français
- KwdFr :
- MESH :
- statistiques et données numériques : Médecine générale.
- économie : Programmes nationaux de santé.
- Australie, Humains, Sujet âgé.
- Wicri :
- geographic : Australie.
English descriptors
- KwdEn :
- MESH :
- geographic : Australia.
- economics : National Health Programs.
- statistics & numerical data : General Practice.
- Aged, Humans.
Abstract
Medicare Benefits Schedule (MBS) items designed to support the wellbeing of older people may reduce unnecessary emergency department utilisation, however it is unclear to what extent such items are used. This study examined general practitioner (GP) utilisation of these MBS items through an analysis of the Melbourne East Monash General Practice Database (MAGNET), which contains information collected from GP clinics within the inner east Melbourne region. Sociodemographic and MBS claim data were extracted for patients aged ≥75 years attending a GP between 2005 and 2012. Utilisation of 75+ Health Assessments, General Practitioner Management Plans (GPMP), Team Care Arrangements (TCAs) or reviews, or Medication Management Reviews (MMRs) was assessed. There were 12962 (60.6%) patients assigned at least one of the MBS items. The highest level of claiming was for GPMPs (n=4754; 35.8%) and TCAs (n=4476; 33.7%), with MMRs having the lowest use (n=1023; 6.8%). Examination of GP and patient barriers to the uptake of these items is needed, along with a greater understanding as to whether those most at risk of hospitalisation are receiving these services. Strategies that support capacity to implement these items are also required.
DOI: 10.1071/PY17047
PubMed: 29113640
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Turner</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168</wicri:regionArea><wicri:noRegion>Vic. 3168</wicri:noRegion></affiliation></author><author><name sortKey="Pearce, Christopher" sort="Pearce, Christopher" uniqKey="Pearce C" first="Christopher" last="Pearce">Christopher Pearce</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168</wicri:regionArea><wicri:noRegion>Vic. 3168</wicri:noRegion></affiliation></author><author><name sortKey="Brijnath, Bianca" sort="Brijnath, Bianca" uniqKey="Brijnath B" first="Bianca" last="Brijnath">Bianca Brijnath</name><affiliation wicri:level="1"><nlm:affiliation>National Aging Research Institute (NARI), 34-48 Poplar Road, Parkville, Vic, 3052, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>National Aging Research Institute (NARI), 34-48 Poplar Road, Parkville, Vic, 3052</wicri:regionArea><wicri:noRegion>3052</wicri:noRegion></affiliation></author><author><name sortKey="Browning, Colette" sort="Browning, Colette" uniqKey="Browning C" first="Colette" last="Browning">Colette Browning</name><affiliation wicri:level="1"><nlm:affiliation>Shenzhen International Institute for Primary Health Care Research, Shenzhen, Guangdong, P.R. China.</nlm:affiliation><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Shenzhen International Institute for Primary Health Care Research, Shenzhen, Guangdong</wicri:regionArea><wicri:noRegion>Guangdong</wicri:noRegion></affiliation></author><author><name sortKey="Lowthian, Judy" sort="Lowthian, Judy" uniqKey="Lowthian J" first="Judy" last="Lowthian">Judy Lowthian</name><affiliation wicri:level="1"><nlm:affiliation>Bolton Clarke, 31 Alma Road, St Kilda, Vic. 3182, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Bolton Clarke, 31 Alma Road, St Kilda, Vic. 3182</wicri:regionArea><wicri:noRegion>Vic. 3182</wicri:noRegion></affiliation></author><author><name sortKey="Shearer, Marianne" sort="Shearer, Marianne" uniqKey="Shearer M" first="Marianne" last="Shearer">Marianne Shearer</name><affiliation wicri:level="1"><nlm:affiliation>Gippsland Primary Health Network, 16 Kirk Street, Moe, Vic. 3825, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Gippsland Primary Health Network, 16 Kirk Street, Moe, Vic. 3825</wicri:regionArea><wicri:noRegion>Vic. 3825</wicri:noRegion></affiliation></author><author><name sortKey="Mazza, Danielle" sort="Mazza, Danielle" uniqKey="Mazza D" first="Danielle" last="Mazza">Danielle Mazza</name><affiliation wicri:level="1"><nlm:affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168</wicri:regionArea><wicri:noRegion>Vic. 3168</wicri:noRegion></affiliation></author></analytic><series><title level="j">Australian journal of primary health</title><idno type="ISSN">1448-7527</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Australia (MeSH)</term><term>General Practice (statistics & numerical data)</term><term>Humans (MeSH)</term><term>National Health Programs (economics)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Australie (MeSH)</term><term>Humains (MeSH)</term><term>Médecine générale (statistiques et données numériques)</term><term>Programmes nationaux de santé (économie)</term><term>Sujet âgé (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Australia</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>National Health Programs</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>General Practice</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Médecine générale</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Programmes nationaux de santé</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Humans</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Australie</term><term>Humains</term><term>Sujet âgé</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Australie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Medicare Benefits Schedule (MBS) items designed to support the wellbeing of older people may reduce unnecessary emergency department utilisation, however it is unclear to what extent such items are used. This study examined general practitioner (GP) utilisation of these MBS items through an analysis of the Melbourne East Monash General Practice Database (MAGNET), which contains information collected from GP clinics within the inner east Melbourne region. Sociodemographic and MBS claim data were extracted for patients aged ≥75 years attending a GP between 2005 and 2012. Utilisation of 75+ Health Assessments, General Practitioner Management Plans (GPMP), Team Care Arrangements (TCAs) or reviews, or Medication Management Reviews (MMRs) was assessed. There were 12962 (60.6%) patients assigned at least one of the MBS items. The highest level of claiming was for GPMPs (n=4754; 35.8%) and TCAs (n=4476; 33.7%), with MMRs having the lowest use (n=1023; 6.8%). Examination of GP and patient barriers to the uptake of these items is needed, along with a greater understanding as to whether those most at risk of hospitalisation are receiving these services. Strategies that support capacity to implement these items are also required.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">29113640</PMID><DateCompleted><Year>2019</Year><Month>02</Month><Day>12</Day></DateCompleted><DateRevised><Year>2019</Year><Month>02</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1448-7527</ISSN><JournalIssue CitedMedium="Print"><Volume>24</Volume><Issue>1</Issue><PubDate><Year>2018</Year><Month>03</Month></PubDate></JournalIssue><Title>Australian journal of primary health</Title><ISOAbbreviation>Aust J Prim Health</ISOAbbreviation></Journal><ArticleTitle>General practice utilisation of Medicare Benefits Schedule items to support the care of older patients: findings from the REDIRECT study.</ArticleTitle><Pagination><MedlinePgn>54-58</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1071/PY17047</ELocationID><Abstract><AbstractText>Medicare Benefits Schedule (MBS) items designed to support the wellbeing of older people may reduce unnecessary emergency department utilisation, however it is unclear to what extent such items are used. This study examined general practitioner (GP) utilisation of these MBS items through an analysis of the Melbourne East Monash General Practice Database (MAGNET), which contains information collected from GP clinics within the inner east Melbourne region. Sociodemographic and MBS claim data were extracted for patients aged ≥75 years attending a GP between 2005 and 2012. Utilisation of 75+ Health Assessments, General Practitioner Management Plans (GPMP), Team Care Arrangements (TCAs) or reviews, or Medication Management Reviews (MMRs) was assessed. There were 12962 (60.6%) patients assigned at least one of the MBS items. The highest level of claiming was for GPMPs (n=4754; 35.8%) and TCAs (n=4476; 33.7%), with MMRs having the lowest use (n=1023; 6.8%). Examination of GP and patient barriers to the uptake of these items is needed, along with a greater understanding as to whether those most at risk of hospitalisation are receiving these services. Strategies that support capacity to implement these items are also required.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Turner</LastName><ForeName>Lyle R</ForeName><Initials>LR</Initials><AffiliationInfo><Affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pearce</LastName><ForeName>Christopher</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brijnath</LastName><ForeName>Bianca</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>National Aging Research Institute (NARI), 34-48 Poplar Road, Parkville, Vic, 3052, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Browning</LastName><ForeName>Colette</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Shenzhen International Institute for Primary Health Care Research, Shenzhen, Guangdong, P.R. China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lowthian</LastName><ForeName>Judy</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Bolton Clarke, 31 Alma Road, St Kilda, Vic. 3182, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shearer</LastName><ForeName>Marianne</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Gippsland Primary Health Network, 16 Kirk Street, Moe, Vic. 3825, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mazza</LastName><ForeName>Danielle</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Vic. 3168, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Australia</Country><MedlineTA>Aust J Prim Health</MedlineTA><NlmUniqueID>101123037</NlmUniqueID><ISSNLinking>1448-7527</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001315" MajorTopicYN="N" Type="Geographic">Australia</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058006" MajorTopicYN="N">General Practice</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009313" MajorTopicYN="N">National Health Programs</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>04</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>08</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>11</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>2</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>11</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29113640</ArticleId><ArticleId IdType="pii">PY17047</ArticleId><ArticleId IdType="doi">10.1071/PY17047</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li><li>République populaire de Chine</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Turner, Lyle R" sort="Turner, Lyle R" uniqKey="Turner L" first="Lyle R" last="Turner">Lyle R. Turner</name></noRegion><name sortKey="Brijnath, Bianca" sort="Brijnath, Bianca" uniqKey="Brijnath B" first="Bianca" last="Brijnath">Bianca Brijnath</name><name sortKey="Lowthian, Judy" sort="Lowthian, Judy" uniqKey="Lowthian J" first="Judy" last="Lowthian">Judy Lowthian</name><name sortKey="Mazza, Danielle" sort="Mazza, Danielle" uniqKey="Mazza D" first="Danielle" last="Mazza">Danielle Mazza</name><name sortKey="Pearce, Christopher" sort="Pearce, Christopher" uniqKey="Pearce C" first="Christopher" last="Pearce">Christopher Pearce</name><name sortKey="Shearer, Marianne" sort="Shearer, Marianne" uniqKey="Shearer M" first="Marianne" last="Shearer">Marianne Shearer</name></country><country name="République populaire de Chine"><noRegion><name sortKey="Browning, Colette" sort="Browning, Colette" uniqKey="Browning C" first="Colette" last="Browning">Colette Browning</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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