Screening of Older Community-Dwelling People at Risk for Death and Hospitalization: The Assistenza Socio-Sanitaria in Italia Project
OBJECTIVES: To develop and validate mortality and hospitalization prognostic tools based upon information readily available to primary care physicians (PCPs). DESIGN: Population‐based cohort study. Baseline predictors were patient demographics, a seven‐item questionnaire on functional status and gen...
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Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2007-12, Vol.55 (12), p.1955-1960 |
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container_issue | 12 |
container_start_page | 1955 |
container_title | Journal of the American Geriatrics Society (JAGS) |
container_volume | 55 |
creator | Mazzaglia, Giampiero Roti, Lorenzo Corsini, Giacomo Colombini, Angela Maciocco, Gavino Marchionni, Niccolò Buiatti, Eva Ferrucci, Luigi Bari, Mauro Di |
description | OBJECTIVES: To develop and validate mortality and hospitalization prognostic tools based upon information readily available to primary care physicians (PCPs).
DESIGN: Population‐based cohort study. Baseline predictors were patient demographics, a seven‐item questionnaire on functional status and general health, use of five or more drugs, and previous hospitalization.
SETTING: Community‐based study.
PARTICIPANTS: Prognostic indexes were developed in 2,470 subjects and validated in 2,926 subjects, all community‐dwelling, aged 65 and older, and randomly sampled from the rosters of 98 PCPs in Florence, Italy.
MEASUREMENTS: Fifteen‐month mortality and hospitalization.
RESULTS: Two scores were derived from logistic regression models and used to stratify participants into four groups. With Model 1, based upon the seven‐item questionnaire, mortality rate ranged from 0.8% in the lowest‐risk group (0–1 point) to 9.4% in the highest risk group (≥3 points), and hospitalization rate ranged from 12.4% to 29.3%; area under the receiver operating characteristic curves (AUC) was 0.75 and 0.60, respectively. With Model 2, considering also drug use and previous hospitalization, mortality and hospitalization rates ranged from 0.3% to 8.2% and from 8.1% to 29.7%, for the lowest‐risk to the highest‐risk group; the AUC increased significantly only for hospitalization (0.67).
CONCLUSION: Prediction of death and hospitalization in older community‐dwelling people can be easily obtained with two indexes using information promptly available to PCPs. These tools might be useful for guiding clinical care and targeting interventions to reduce the need for hospital care in older persons. |
doi_str_mv | 10.1111/j.1532-5415.2007.01446.x |
format | Article |
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DESIGN: Population‐based cohort study. Baseline predictors were patient demographics, a seven‐item questionnaire on functional status and general health, use of five or more drugs, and previous hospitalization.
SETTING: Community‐based study.
PARTICIPANTS: Prognostic indexes were developed in 2,470 subjects and validated in 2,926 subjects, all community‐dwelling, aged 65 and older, and randomly sampled from the rosters of 98 PCPs in Florence, Italy.
MEASUREMENTS: Fifteen‐month mortality and hospitalization.
RESULTS: Two scores were derived from logistic regression models and used to stratify participants into four groups. With Model 1, based upon the seven‐item questionnaire, mortality rate ranged from 0.8% in the lowest‐risk group (0–1 point) to 9.4% in the highest risk group (≥3 points), and hospitalization rate ranged from 12.4% to 29.3%; area under the receiver operating characteristic curves (AUC) was 0.75 and 0.60, respectively. With Model 2, considering also drug use and previous hospitalization, mortality and hospitalization rates ranged from 0.3% to 8.2% and from 8.1% to 29.7%, for the lowest‐risk to the highest‐risk group; the AUC increased significantly only for hospitalization (0.67).
CONCLUSION: Prediction of death and hospitalization in older community‐dwelling people can be easily obtained with two indexes using information promptly available to PCPs. These tools might be useful for guiding clinical care and targeting interventions to reduce the need for hospital care in older persons.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/j.1532-5415.2007.01446.x</identifier><identifier>PMID: 17944891</identifier><identifier>CODEN: JAGSAF</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Aged ; Aged, 80 and over ; Area Under Curve ; Biological and medical sciences ; elderly ; Epidemiology ; Female ; General aspects ; Geriatric Assessment ; Geriatrics ; Health Status Indicators ; Hospitalization ; Hospitalization - statistics & numerical data ; Humans ; Italy - epidemiology ; Logistic Models ; Male ; Mass Screening ; Medical prognosis ; Medical sciences ; Medical screening ; Mortality ; Older people ; Prevention and actions ; Prognosis ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Assessment ; Risk Factors ; screening ; Surveys and Questionnaires</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2007-12, Vol.55 (12), p.1955-1960</ispartof><rights>2008 INIST-CNRS</rights><rights>2007, The American Geriatrics Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5676-e086f2fc14d432f0b280b51e6c79546cdad678eaa88a7cd1e61879300a02af193</citedby><cites>FETCH-LOGICAL-c5676-e086f2fc14d432f0b280b51e6c79546cdad678eaa88a7cd1e61879300a02af193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1532-5415.2007.01446.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1532-5415.2007.01446.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19919782$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17944891$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mazzaglia, Giampiero</creatorcontrib><creatorcontrib>Roti, Lorenzo</creatorcontrib><creatorcontrib>Corsini, Giacomo</creatorcontrib><creatorcontrib>Colombini, Angela</creatorcontrib><creatorcontrib>Maciocco, Gavino</creatorcontrib><creatorcontrib>Marchionni, Niccolò</creatorcontrib><creatorcontrib>Buiatti, Eva</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Bari, Mauro Di</creatorcontrib><title>Screening of Older Community-Dwelling People at Risk for Death and Hospitalization: The Assistenza Socio-Sanitaria in Italia Project</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>OBJECTIVES: To develop and validate mortality and hospitalization prognostic tools based upon information readily available to primary care physicians (PCPs).
DESIGN: Population‐based cohort study. Baseline predictors were patient demographics, a seven‐item questionnaire on functional status and general health, use of five or more drugs, and previous hospitalization.
SETTING: Community‐based study.
PARTICIPANTS: Prognostic indexes were developed in 2,470 subjects and validated in 2,926 subjects, all community‐dwelling, aged 65 and older, and randomly sampled from the rosters of 98 PCPs in Florence, Italy.
MEASUREMENTS: Fifteen‐month mortality and hospitalization.
RESULTS: Two scores were derived from logistic regression models and used to stratify participants into four groups. With Model 1, based upon the seven‐item questionnaire, mortality rate ranged from 0.8% in the lowest‐risk group (0–1 point) to 9.4% in the highest risk group (≥3 points), and hospitalization rate ranged from 12.4% to 29.3%; area under the receiver operating characteristic curves (AUC) was 0.75 and 0.60, respectively. With Model 2, considering also drug use and previous hospitalization, mortality and hospitalization rates ranged from 0.3% to 8.2% and from 8.1% to 29.7%, for the lowest‐risk to the highest‐risk group; the AUC increased significantly only for hospitalization (0.67).
CONCLUSION: Prediction of death and hospitalization in older community‐dwelling people can be easily obtained with two indexes using information promptly available to PCPs. These tools might be useful for guiding clinical care and targeting interventions to reduce the need for hospital care in older persons.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Biological and medical sciences</subject><subject>elderly</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Geriatric Assessment</subject><subject>Geriatrics</subject><subject>Health Status Indicators</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Italy - epidemiology</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Medical prognosis</subject><subject>Medical sciences</subject><subject>Medical screening</subject><subject>Mortality</subject><subject>Older people</subject><subject>Prevention and actions</subject><subject>Prognosis</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>screening</subject><subject>Surveys and Questionnaires</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUFv0zAcxSMEYmXwFZCFxDHFdhzbQQJp6qDdNG0THYKb9a_jrO5Su9gpa3fmg-PQqoMbvtjS-73nJ70sQwQPSTrvFkNSFjQvGSmHFGMxxIQxPtw8yQYH4Wk2wBjTXHLCjrIXMS4wJhRL-Tw7IqJiTFZkkP2a6mCMs-4W-QZdtbUJaOSXy7Wz3TY_vTdt22vXxq9ag6BDX2y8Q40P6NRAN0fgajTxcWU7aO0DdNa79-hmbtBJjDZ2xj0AmnptfT6FFAnBArIOnfU4oOvgF0Z3L7NnDbTRvNrfx9nXz59uRpP84mp8Njq5yHXJBc8NlryhjSasZgVt8IxKPCuJ4VpUJeO6hpoLaQCkBKHrJBApqgJjwBQaUhXH2cdd7mo9W5paG9cFaNUq2CWErfJg1b-Ks3N1638qynnKYSngzT4g-B9rEzu18OvgUmdFCS4ES40SJHeQDj7GYJrDBwSrfj61UP1Kql9J9fOpP_OpTbK-_rvgo3G_VwLe7gGIGtomgNM2PnJVRSohaeI-7Lh725rtfxdQ5-Np_0r-fOfvN9wc_BDuFBeFKNW3y7G65pfn38mEqWnxGx1kxv4</recordid><startdate>200712</startdate><enddate>200712</enddate><creator>Mazzaglia, Giampiero</creator><creator>Roti, Lorenzo</creator><creator>Corsini, Giacomo</creator><creator>Colombini, Angela</creator><creator>Maciocco, Gavino</creator><creator>Marchionni, Niccolò</creator><creator>Buiatti, Eva</creator><creator>Ferrucci, Luigi</creator><creator>Bari, Mauro Di</creator><general>Blackwell Publishing Inc</general><general>Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>5PM</scope></search><sort><creationdate>200712</creationdate><title>Screening of Older Community-Dwelling People at Risk for Death and Hospitalization: The Assistenza Socio-Sanitaria in Italia Project</title><author>Mazzaglia, Giampiero ; Roti, Lorenzo ; Corsini, Giacomo ; Colombini, Angela ; Maciocco, Gavino ; Marchionni, Niccolò ; Buiatti, Eva ; Ferrucci, Luigi ; Bari, Mauro Di</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5676-e086f2fc14d432f0b280b51e6c79546cdad678eaa88a7cd1e61879300a02af193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Biological and medical sciences</topic><topic>elderly</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Geriatric Assessment</topic><topic>Geriatrics</topic><topic>Health Status Indicators</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Italy - epidemiology</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Mass Screening</topic><topic>Medical prognosis</topic><topic>Medical sciences</topic><topic>Medical screening</topic><topic>Mortality</topic><topic>Older people</topic><topic>Prevention and actions</topic><topic>Prognosis</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>screening</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mazzaglia, Giampiero</creatorcontrib><creatorcontrib>Roti, Lorenzo</creatorcontrib><creatorcontrib>Corsini, Giacomo</creatorcontrib><creatorcontrib>Colombini, Angela</creatorcontrib><creatorcontrib>Maciocco, Gavino</creatorcontrib><creatorcontrib>Marchionni, Niccolò</creatorcontrib><creatorcontrib>Buiatti, Eva</creatorcontrib><creatorcontrib>Ferrucci, Luigi</creatorcontrib><creatorcontrib>Bari, Mauro Di</creatorcontrib><collection>Istex</collection><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>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mazzaglia, Giampiero</au><au>Roti, Lorenzo</au><au>Corsini, Giacomo</au><au>Colombini, Angela</au><au>Maciocco, Gavino</au><au>Marchionni, Niccolò</au><au>Buiatti, Eva</au><au>Ferrucci, Luigi</au><au>Bari, Mauro Di</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Screening of Older Community-Dwelling People at Risk for Death and Hospitalization: The Assistenza Socio-Sanitaria in Italia Project</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2007-12</date><risdate>2007</risdate><volume>55</volume><issue>12</issue><spage>1955</spage><epage>1960</epage><pages>1955-1960</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><coden>JAGSAF</coden><abstract>OBJECTIVES: To develop and validate mortality and hospitalization prognostic tools based upon information readily available to primary care physicians (PCPs).
DESIGN: Population‐based cohort study. Baseline predictors were patient demographics, a seven‐item questionnaire on functional status and general health, use of five or more drugs, and previous hospitalization.
SETTING: Community‐based study.
PARTICIPANTS: Prognostic indexes were developed in 2,470 subjects and validated in 2,926 subjects, all community‐dwelling, aged 65 and older, and randomly sampled from the rosters of 98 PCPs in Florence, Italy.
MEASUREMENTS: Fifteen‐month mortality and hospitalization.
RESULTS: Two scores were derived from logistic regression models and used to stratify participants into four groups. With Model 1, based upon the seven‐item questionnaire, mortality rate ranged from 0.8% in the lowest‐risk group (0–1 point) to 9.4% in the highest risk group (≥3 points), and hospitalization rate ranged from 12.4% to 29.3%; area under the receiver operating characteristic curves (AUC) was 0.75 and 0.60, respectively. With Model 2, considering also drug use and previous hospitalization, mortality and hospitalization rates ranged from 0.3% to 8.2% and from 8.1% to 29.7%, for the lowest‐risk to the highest‐risk group; the AUC increased significantly only for hospitalization (0.67).
CONCLUSION: Prediction of death and hospitalization in older community‐dwelling people can be easily obtained with two indexes using information promptly available to PCPs. These tools might be useful for guiding clinical care and targeting interventions to reduce the need for hospital care in older persons.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>17944891</pmid><doi>10.1111/j.1532-5415.2007.01446.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Area Under Curve Biological and medical sciences elderly Epidemiology Female General aspects Geriatric Assessment Geriatrics Health Status Indicators Hospitalization Hospitalization - statistics & numerical data Humans Italy - epidemiology Logistic Models Male Mass Screening Medical prognosis Medical sciences Medical screening Mortality Older people Prevention and actions Prognosis Public health. Hygiene Public health. Hygiene-occupational medicine Risk Assessment Risk Factors screening Surveys and Questionnaires |
title | Screening of Older Community-Dwelling People at Risk for Death and Hospitalization: The Assistenza Socio-Sanitaria in Italia Project |
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