The epidemiology of hip fractures across western Victoria, Australia
Hip fractures are associated with considerable morbidity and mortality. Hip fracture incidence varies across different levels of accessibility/remoteness and socioeconomic status (SES). As part of the Ageing, Chronic Disease and Injury Study, we aimed to map the pattern of hip fractures across the w...
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creator | Holloway, Kara L. Sajjad, Muhammad A. Mohebbi, Mohammadreza Kotowicz, Mark A. Livingston, Patricia M. Khasraw, Mustafa Hakkennes, Sharon Dunning, Trisha L. Brumby, Susan Page, Richard S. Pedler, Daryl Sutherland, Alasdair Venkatesh, Svetha Brennan-Olsen, Sharon L. Williams, Lana J. Pasco, Julie A. |
description | Hip fractures are associated with considerable morbidity and mortality. Hip fracture incidence varies across different levels of accessibility/remoteness and socioeconomic status (SES). As part of the Ageing, Chronic Disease and Injury Study, we aimed to map the pattern of hip fractures across the western region of the Australian state of Victoria, which contains a range of remoteness levels and SES.
Data on hip fractures resulting in hospital admission were extracted from the Victorian Admitted Episodes Dataset (VAED) for men and women aged 40+years during 2010–2013 inclusive. An age-adjusted incidence rate (per 10,000population/year) was calculated for the entire region. Crude incidence rates and length of acute care hospital stay (excluding rehabilitation) were calculated for each Local Government Area (LGA). The impact of aggregated age, accessibility/remoteness index of Australia (ARIA) and SES on hip fracture rates aggregated across LGAs was determined using Poisson regression.
For men, the age-standardised rate of hospitalisations for hip fracture across the whole region was 19.2 per 10,000population/year (95%CI 18.0–20.4) and for women, 40.0 (95%CI 38.3–41.7). The highest incidence rates for both sexes occurred in the less accessible LGAs of Yarriambiack and Hindmarsh, as well as the LGA with the lowest SES, Central Goldfields. In both sexes, approximately two thirds of individuals were discharged from acute hospital care within 14days. Increasing age, higher remoteness and lower SES were all associated with higher hip fracture rates.
Crude incidence rates varied by location. Given that a high proportion of patients had acute hospital care of ≤14days, and accessibility and SES were associated with hip fracture rates, these results can inform policy and provide a model for other groups to conduct similar research in their local environment.
•Hip fractures rates varied across different geographical areas.•Increasing remoteness was associated with an increase in hip fracture rates.•Increasing socioeconomic status was associated with a decrease in hip fracture rates.•Most patients had an acute hospital care length of stay ≤14days.•Men appeared to have longer lengths of stay for acute hospital care than women. |
doi_str_mv | 10.1016/j.bone.2017.12.007 |
format | Article |
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Data on hip fractures resulting in hospital admission were extracted from the Victorian Admitted Episodes Dataset (VAED) for men and women aged 40+years during 2010–2013 inclusive. An age-adjusted incidence rate (per 10,000population/year) was calculated for the entire region. Crude incidence rates and length of acute care hospital stay (excluding rehabilitation) were calculated for each Local Government Area (LGA). The impact of aggregated age, accessibility/remoteness index of Australia (ARIA) and SES on hip fracture rates aggregated across LGAs was determined using Poisson regression.
For men, the age-standardised rate of hospitalisations for hip fracture across the whole region was 19.2 per 10,000population/year (95%CI 18.0–20.4) and for women, 40.0 (95%CI 38.3–41.7). The highest incidence rates for both sexes occurred in the less accessible LGAs of Yarriambiack and Hindmarsh, as well as the LGA with the lowest SES, Central Goldfields. In both sexes, approximately two thirds of individuals were discharged from acute hospital care within 14days. Increasing age, higher remoteness and lower SES were all associated with higher hip fracture rates.
Crude incidence rates varied by location. Given that a high proportion of patients had acute hospital care of ≤14days, and accessibility and SES were associated with hip fracture rates, these results can inform policy and provide a model for other groups to conduct similar research in their local environment.
•Hip fractures rates varied across different geographical areas.•Increasing remoteness was associated with an increase in hip fracture rates.•Increasing socioeconomic status was associated with a decrease in hip fracture rates.•Most patients had an acute hospital care length of stay ≤14days.•Men appeared to have longer lengths of stay for acute hospital care than women.</description><identifier>ISSN: 8756-3282</identifier><identifier>EISSN: 1873-2763</identifier><identifier>DOI: 10.1016/j.bone.2017.12.007</identifier><identifier>PMID: 29229437</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accessibility/remoteness ; Adult ; Age Factors ; Aged ; Australia ; Female ; Geography ; Health Services Accessibility ; Hip fracture ; Hip Fractures - epidemiology ; Humans ; Incidence ; Length of Stay ; Local Government ; Male ; Men ; Social Class ; Socioeconomic status ; Victoria - epidemiology ; Women</subject><ispartof>Bone (New York, N.Y.), 2018-03, Vol.108, p.1-9</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-eb3ea406921911305daefff9f22fadce5fff696efe59597b837313fed3c89e3c3</citedby><cites>FETCH-LOGICAL-c356t-eb3ea406921911305daefff9f22fadce5fff696efe59597b837313fed3c89e3c3</cites><orcidid>0000-0001-5064-2990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.bone.2017.12.007$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27904,27905,45975</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29229437$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Holloway, Kara L.</creatorcontrib><creatorcontrib>Sajjad, Muhammad A.</creatorcontrib><creatorcontrib>Mohebbi, Mohammadreza</creatorcontrib><creatorcontrib>Kotowicz, Mark A.</creatorcontrib><creatorcontrib>Livingston, Patricia M.</creatorcontrib><creatorcontrib>Khasraw, Mustafa</creatorcontrib><creatorcontrib>Hakkennes, Sharon</creatorcontrib><creatorcontrib>Dunning, Trisha L.</creatorcontrib><creatorcontrib>Brumby, Susan</creatorcontrib><creatorcontrib>Page, Richard S.</creatorcontrib><creatorcontrib>Pedler, Daryl</creatorcontrib><creatorcontrib>Sutherland, Alasdair</creatorcontrib><creatorcontrib>Venkatesh, Svetha</creatorcontrib><creatorcontrib>Brennan-Olsen, Sharon L.</creatorcontrib><creatorcontrib>Williams, Lana J.</creatorcontrib><creatorcontrib>Pasco, Julie A.</creatorcontrib><title>The epidemiology of hip fractures across western Victoria, Australia</title><title>Bone (New York, N.Y.)</title><addtitle>Bone</addtitle><description>Hip fractures are associated with considerable morbidity and mortality. Hip fracture incidence varies across different levels of accessibility/remoteness and socioeconomic status (SES). As part of the Ageing, Chronic Disease and Injury Study, we aimed to map the pattern of hip fractures across the western region of the Australian state of Victoria, which contains a range of remoteness levels and SES.
Data on hip fractures resulting in hospital admission were extracted from the Victorian Admitted Episodes Dataset (VAED) for men and women aged 40+years during 2010–2013 inclusive. An age-adjusted incidence rate (per 10,000population/year) was calculated for the entire region. Crude incidence rates and length of acute care hospital stay (excluding rehabilitation) were calculated for each Local Government Area (LGA). The impact of aggregated age, accessibility/remoteness index of Australia (ARIA) and SES on hip fracture rates aggregated across LGAs was determined using Poisson regression.
For men, the age-standardised rate of hospitalisations for hip fracture across the whole region was 19.2 per 10,000population/year (95%CI 18.0–20.4) and for women, 40.0 (95%CI 38.3–41.7). The highest incidence rates for both sexes occurred in the less accessible LGAs of Yarriambiack and Hindmarsh, as well as the LGA with the lowest SES, Central Goldfields. In both sexes, approximately two thirds of individuals were discharged from acute hospital care within 14days. Increasing age, higher remoteness and lower SES were all associated with higher hip fracture rates.
Crude incidence rates varied by location. Given that a high proportion of patients had acute hospital care of ≤14days, and accessibility and SES were associated with hip fracture rates, these results can inform policy and provide a model for other groups to conduct similar research in their local environment.
•Hip fractures rates varied across different geographical areas.•Increasing remoteness was associated with an increase in hip fracture rates.•Increasing socioeconomic status was associated with a decrease in hip fracture rates.•Most patients had an acute hospital care length of stay ≤14days.•Men appeared to have longer lengths of stay for acute hospital care than women.</description><subject>Accessibility/remoteness</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Australia</subject><subject>Female</subject><subject>Geography</subject><subject>Health Services Accessibility</subject><subject>Hip fracture</subject><subject>Hip Fractures - epidemiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Length of Stay</subject><subject>Local Government</subject><subject>Male</subject><subject>Men</subject><subject>Social Class</subject><subject>Socioeconomic status</subject><subject>Victoria - epidemiology</subject><subject>Women</subject><issn>8756-3282</issn><issn>1873-2763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtOwzAQRS0EoqXwAyxQlixI8KOxY4lNVZ5SJTaFreU4Y-oqiYudgPr3pBRYshqNdO7VzEHonOCMYMKv11npW8goJiIjNMNYHKAxKQRLqeDsEI0LkfOU0YKO0EmMa4wxk4IcoxGVlMopE2N0u1xBAhtXQeN87d-2ibfJym0SG7Tp-gAx0Sb4GJNPiB2ENnl1pvPB6atk1scu6NrpU3RkdR3h7GdO0Mv93XL-mC6eH57ms0VqWM67FEoGeoq5pEQSwnBeabDWSkup1ZWBfFi45GAhl7kUZcEEI8xCxUwhgRk2QZf73k3w7_1wj2pcNFDXugXfR0Wk4BjzgpMBpXv0-_gAVm2Ca3TYKoLVzp5aq509tbOnCFWDvSF08dPflw1Uf5FfXQNwswdg-PLDQVDROGgNVC6A6VTl3X_9X482gXc</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Holloway, Kara L.</creator><creator>Sajjad, Muhammad A.</creator><creator>Mohebbi, Mohammadreza</creator><creator>Kotowicz, Mark A.</creator><creator>Livingston, Patricia M.</creator><creator>Khasraw, Mustafa</creator><creator>Hakkennes, Sharon</creator><creator>Dunning, Trisha L.</creator><creator>Brumby, Susan</creator><creator>Page, Richard S.</creator><creator>Pedler, Daryl</creator><creator>Sutherland, Alasdair</creator><creator>Venkatesh, Svetha</creator><creator>Brennan-Olsen, Sharon L.</creator><creator>Williams, Lana J.</creator><creator>Pasco, Julie A.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5064-2990</orcidid></search><sort><creationdate>201803</creationdate><title>The epidemiology of hip fractures across western Victoria, Australia</title><author>Holloway, Kara L. ; Sajjad, Muhammad A. ; Mohebbi, Mohammadreza ; Kotowicz, Mark A. ; Livingston, Patricia M. ; Khasraw, Mustafa ; Hakkennes, Sharon ; Dunning, Trisha L. ; Brumby, Susan ; Page, Richard S. ; Pedler, Daryl ; Sutherland, Alasdair ; Venkatesh, Svetha ; Brennan-Olsen, Sharon L. ; Williams, Lana J. ; Pasco, Julie A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-eb3ea406921911305daefff9f22fadce5fff696efe59597b837313fed3c89e3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Accessibility/remoteness</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Australia</topic><topic>Female</topic><topic>Geography</topic><topic>Health Services Accessibility</topic><topic>Hip fracture</topic><topic>Hip Fractures - epidemiology</topic><topic>Humans</topic><topic>Incidence</topic><topic>Length of Stay</topic><topic>Local Government</topic><topic>Male</topic><topic>Men</topic><topic>Social Class</topic><topic>Socioeconomic status</topic><topic>Victoria - epidemiology</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Holloway, Kara L.</creatorcontrib><creatorcontrib>Sajjad, Muhammad A.</creatorcontrib><creatorcontrib>Mohebbi, Mohammadreza</creatorcontrib><creatorcontrib>Kotowicz, Mark A.</creatorcontrib><creatorcontrib>Livingston, Patricia M.</creatorcontrib><creatorcontrib>Khasraw, Mustafa</creatorcontrib><creatorcontrib>Hakkennes, Sharon</creatorcontrib><creatorcontrib>Dunning, Trisha L.</creatorcontrib><creatorcontrib>Brumby, Susan</creatorcontrib><creatorcontrib>Page, Richard S.</creatorcontrib><creatorcontrib>Pedler, Daryl</creatorcontrib><creatorcontrib>Sutherland, Alasdair</creatorcontrib><creatorcontrib>Venkatesh, Svetha</creatorcontrib><creatorcontrib>Brennan-Olsen, Sharon L.</creatorcontrib><creatorcontrib>Williams, Lana J.</creatorcontrib><creatorcontrib>Pasco, Julie A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bone (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Holloway, Kara L.</au><au>Sajjad, Muhammad A.</au><au>Mohebbi, Mohammadreza</au><au>Kotowicz, Mark A.</au><au>Livingston, Patricia M.</au><au>Khasraw, Mustafa</au><au>Hakkennes, Sharon</au><au>Dunning, Trisha L.</au><au>Brumby, Susan</au><au>Page, Richard S.</au><au>Pedler, Daryl</au><au>Sutherland, Alasdair</au><au>Venkatesh, Svetha</au><au>Brennan-Olsen, Sharon L.</au><au>Williams, Lana J.</au><au>Pasco, Julie A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The epidemiology of hip fractures across western Victoria, Australia</atitle><jtitle>Bone (New York, N.Y.)</jtitle><addtitle>Bone</addtitle><date>2018-03</date><risdate>2018</risdate><volume>108</volume><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>8756-3282</issn><eissn>1873-2763</eissn><abstract>Hip fractures are associated with considerable morbidity and mortality. Hip fracture incidence varies across different levels of accessibility/remoteness and socioeconomic status (SES). As part of the Ageing, Chronic Disease and Injury Study, we aimed to map the pattern of hip fractures across the western region of the Australian state of Victoria, which contains a range of remoteness levels and SES.
Data on hip fractures resulting in hospital admission were extracted from the Victorian Admitted Episodes Dataset (VAED) for men and women aged 40+years during 2010–2013 inclusive. An age-adjusted incidence rate (per 10,000population/year) was calculated for the entire region. Crude incidence rates and length of acute care hospital stay (excluding rehabilitation) were calculated for each Local Government Area (LGA). The impact of aggregated age, accessibility/remoteness index of Australia (ARIA) and SES on hip fracture rates aggregated across LGAs was determined using Poisson regression.
For men, the age-standardised rate of hospitalisations for hip fracture across the whole region was 19.2 per 10,000population/year (95%CI 18.0–20.4) and for women, 40.0 (95%CI 38.3–41.7). The highest incidence rates for both sexes occurred in the less accessible LGAs of Yarriambiack and Hindmarsh, as well as the LGA with the lowest SES, Central Goldfields. In both sexes, approximately two thirds of individuals were discharged from acute hospital care within 14days. Increasing age, higher remoteness and lower SES were all associated with higher hip fracture rates.
Crude incidence rates varied by location. Given that a high proportion of patients had acute hospital care of ≤14days, and accessibility and SES were associated with hip fracture rates, these results can inform policy and provide a model for other groups to conduct similar research in their local environment.
•Hip fractures rates varied across different geographical areas.•Increasing remoteness was associated with an increase in hip fracture rates.•Increasing socioeconomic status was associated with a decrease in hip fracture rates.•Most patients had an acute hospital care length of stay ≤14days.•Men appeared to have longer lengths of stay for acute hospital care than women.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29229437</pmid><doi>10.1016/j.bone.2017.12.007</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5064-2990</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accessibility/remoteness Adult Age Factors Aged Australia Female Geography Health Services Accessibility Hip fracture Hip Fractures - epidemiology Humans Incidence Length of Stay Local Government Male Men Social Class Socioeconomic status Victoria - epidemiology Women |
title | The epidemiology of hip fractures across western Victoria, Australia |
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