The impact of nursing homes on small-area life expectancies
The geographical distribution of nursing homes can significantly distort small-area life expectancy estimations. Consequently, uncorrected life expectancies should not be used for small-area life expectancy comparisons. Instead, several nursing home corrections have been proposed. The practical use...
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| Veröffentlicht in: | Health & place 2013-01, Vol.19, p.25-32 |
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| creator | Jonker, Marcel F. van Lenthe, Frank J. Donkers, Bas Congdon, Peter D. Burdorf, Alex Mackenbach, Johan P. |
| description | The geographical distribution of nursing homes can significantly distort small-area life expectancy estimations. Consequently, uncorrected life expectancies should not be used for small-area life expectancy comparisons. Instead, several nursing home corrections have been proposed. The practical use of these corrections, however, is severely limited by data availability. This paper introduces a new, model-based nursing home correction that requires considerably less detailed nursing home data. A formal comparison shows that the proposed model-based approach is the recommended correction for all small-area life expectancy estimations where detailed previous residential address information of the nursing home population is not available. This makes the approach highly relevant for a wide range of empirical applications.
► The location of nursing homes significantly distorts small-area life expectancy comparisons. ► A Bayesian, model-based nursing home correction is proposed. ► This correction performs well and it has relatively modest data requirements. |
| doi_str_mv | 10.1016/j.healthplace.2012.09.012 |
| format | Article |
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► The location of nursing homes significantly distorts small-area life expectancy comparisons. ► A Bayesian, model-based nursing home correction is proposed. ► This correction performs well and it has relatively modest data requirements.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Bayesian method</subject><subject>Bias</subject><subject>Biological and medical sciences</subject><subject>Estimation</subject><subject>Female</subject><subject>Geographic distribution</subject><subject>Health care</subject><subject>Health technology assessment</subject><subject>Homes for the Aged - statistics & numerical data</subject><subject>Humans</subject><subject>Life expectancy</subject><subject>Life Expectancy - trends</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Nursing</subject><subject>Nursing homes</subject><subject>Nursing Homes - statistics & numerical data</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Residential areas</subject><subject>Residential care</subject><subject>Small-Area Analysis</subject><subject>Spatial analysis</subject><subject>Urban health</subject><issn>1353-8292</issn><issn>1873-2054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqNkUtv1DAURi3Uij7_QhUWldgkvX7EscUKjYAiVWJT1pbj3DAeOQ_sDGr_PR5mKN0xq8-Lc68_3UPIOwoVBSrvNtUabVjWc7AOKwaUVaCrHG_IOVUNLxnU4iS_ec1LxTQ7IxcpbQBAKkHfkjPGqeCUy3Py4XGNhR9m65Zi6otxG5MffxTracBUTGORBhtCaSPaIvgeC3ya0S12dB7TFTntbUh4fchL8v3zp8fVffnw7cvX1ceH0tUgl7KVne0QUUFNuaKMyQ6s7mQjNKrG1ULqhlNpBchW5VrCQout6xRjzDmq-SV5v987x-nnFtNiBp8chmBHnLbJUCG0FkJxeQTKlWyozEf6L8pUbgSUwxFowxmo-k8BvUddnFKK2Js5-sHGZ0PB7OSZjXklz-zkGdAmR569OXyzbQfsXib_2srA7QGwydnQx52H9I9rKNTQ7Bat9hxmK788RpOyr9Fh52O2Z7rJH1HnN9JTunA</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Jonker, Marcel F.</creator><creator>van Lenthe, Frank J.</creator><creator>Donkers, Bas</creator><creator>Congdon, Peter D.</creator><creator>Burdorf, Alex</creator><creator>Mackenbach, Johan P.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><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><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7QJ</scope></search><sort><creationdate>201301</creationdate><title>The impact of nursing homes on small-area life expectancies</title><author>Jonker, Marcel F. ; van Lenthe, Frank J. ; Donkers, Bas ; Congdon, Peter D. ; Burdorf, Alex ; Mackenbach, Johan P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-b6dadeee8051381226d0a9d6749e87c54697316a406b84314a0bebcd8222cc193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Bayesian method</topic><topic>Bias</topic><topic>Biological and medical sciences</topic><topic>Estimation</topic><topic>Female</topic><topic>Geographic distribution</topic><topic>Health care</topic><topic>Health technology assessment</topic><topic>Homes for the Aged - statistics & numerical data</topic><topic>Humans</topic><topic>Life expectancy</topic><topic>Life Expectancy - trends</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Nursing</topic><topic>Nursing homes</topic><topic>Nursing Homes - statistics & numerical data</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>Residential areas</topic><topic>Residential care</topic><topic>Small-Area Analysis</topic><topic>Spatial analysis</topic><topic>Urban health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jonker, Marcel F.</creatorcontrib><creatorcontrib>van Lenthe, Frank J.</creatorcontrib><creatorcontrib>Donkers, Bas</creatorcontrib><creatorcontrib>Congdon, Peter D.</creatorcontrib><creatorcontrib>Burdorf, Alex</creatorcontrib><creatorcontrib>Mackenbach, Johan P.</creatorcontrib><collection>Pascal-Francis</collection><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><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Health & place</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jonker, Marcel F.</au><au>van Lenthe, Frank J.</au><au>Donkers, Bas</au><au>Congdon, Peter D.</au><au>Burdorf, Alex</au><au>Mackenbach, Johan P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of nursing homes on small-area life expectancies</atitle><jtitle>Health & place</jtitle><addtitle>Health Place</addtitle><date>2013-01</date><risdate>2013</risdate><volume>19</volume><spage>25</spage><epage>32</epage><pages>25-32</pages><issn>1353-8292</issn><eissn>1873-2054</eissn><coden>HEPLFG</coden><abstract>The geographical distribution of nursing homes can significantly distort small-area life expectancy estimations. Consequently, uncorrected life expectancies should not be used for small-area life expectancy comparisons. Instead, several nursing home corrections have been proposed. The practical use of these corrections, however, is severely limited by data availability. This paper introduces a new, model-based nursing home correction that requires considerably less detailed nursing home data. A formal comparison shows that the proposed model-based approach is the recommended correction for all small-area life expectancy estimations where detailed previous residential address information of the nursing home population is not available. This makes the approach highly relevant for a wide range of empirical applications.
► The location of nursing homes significantly distorts small-area life expectancy comparisons. ► A Bayesian, model-based nursing home correction is proposed. ► This correction performs well and it has relatively modest data requirements.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><pmid>23143136</pmid><doi>10.1016/j.healthplace.2012.09.012</doi><tpages>8</tpages></addata></record> |
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| subjects | Aged Aged, 80 and over Bayes Theorem Bayesian analysis Bayesian method Bias Biological and medical sciences Estimation Female Geographic distribution Health care Health technology assessment Homes for the Aged - statistics & numerical data Humans Life expectancy Life Expectancy - trends Male Medical sciences Miscellaneous Nursing Nursing homes Nursing Homes - statistics & numerical data Public health. Hygiene Public health. Hygiene-occupational medicine Residence Characteristics - statistics & numerical data Residential areas Residential care Small-Area Analysis Spatial analysis Urban health |
| title | The impact of nursing homes on small-area life expectancies |
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