Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study
Objective We sought to investigate the incidence of, and factors associated with, in‐hospital functional decline among older acute hospital patients. Methods We conducted a prospective observational study of consecutive patients admitted under geriatric medicine over 5 years. The primary outcome mea...
Gespeichert in:
| Veröffentlicht in: | Australasian journal on ageing 2017-12, Vol.36 (4), p.E57-E63 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | E63 |
|---|---|
| container_issue | 4 |
| container_start_page | E57 |
| container_title | Australasian journal on ageing |
| container_volume | 36 |
| creator | Basic, David Ní Chróinín, Danielle Conforti, David Shanley, Chris |
| description | Objective
We sought to investigate the incidence of, and factors associated with, in‐hospital functional decline among older acute hospital patients.
Methods
We conducted a prospective observational study of consecutive patients admitted under geriatric medicine over 5 years. The primary outcome measure was functional decline between admission and discharge, representing deterioration in any of the following: Modified Barthel Index (MBI), independence in Timed Up and Go test or walking, and/or need for walking aid.
Results
Overall, 56% (950/1693) patients (mean age 81.9 years) exhibited in‐hospital functional decline. Premorbid MBI (odds ratio (OR) 1.05 per unit increase, P < 0.001), adverse drug reaction (OR 1.50, P = 0.001) and in‐hospital consultation as the referral source (OR 1.57, P = 0.001) were independently associated with functional decline, adjusting for age, dementia and nursing home residence.
Conclusion
These factors may aid identification of vulnerable patients who might particularly benefit from targeted multidisciplinary intervention. Further studies validating this, and exploring the impact of focussed management, are needed. |
| doi_str_mv | 10.1111/ajag.12458 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1934282068</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1934282068</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3298-c1edc0954aed57d8832ad621c1bc28a106bde728e6d1159fdef373550d0db2cb3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMotn5c_AGSowhbM9mvrLdStCoFPeh5ySazNWW7qclupUf_uamtHp3LvJCHh8lLyAWwEYS5kQs5HwFPUnFAhpAnEGUZ8MOQk4RFWSxgQE68XzDGQQh-TAZciDTLCxiSrxeH2qjOOk9tS6VeGu9NSLamdd-qLmTZUI2qMS1SubTtnNpGo6Mr2RlsO0_frV-ZTjbGo6a1dVSqvkOqpMNbOqYrF94xmNZIbeXRreXe6rteb87IUS0bj-f7fUre7u9eJw_R7Hn6OBnPIhXzQkQKUCtWpIlEneZaiJhLnXFQUCkuJLCs0phzgZkGSItaYx3ncZoyzXTFVRWfkqudN9zz0aPvyvBVhU0jW7S9L6GIEy44y0RAr3eoCqd7h3W5cmYp3aYEVm4rL7eVlz-VB_hy7-2rJeo_9LfjAMAO-DQNbv5RleOn8XQn_QYS4Y8g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1934282068</pqid></control><display><type>article</type><title>Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Basic, David ; Ní Chróinín, Danielle ; Conforti, David ; Shanley, Chris</creator><creatorcontrib>Basic, David ; Ní Chróinín, Danielle ; Conforti, David ; Shanley, Chris</creatorcontrib><description>Objective
We sought to investigate the incidence of, and factors associated with, in‐hospital functional decline among older acute hospital patients.
Methods
We conducted a prospective observational study of consecutive patients admitted under geriatric medicine over 5 years. The primary outcome measure was functional decline between admission and discharge, representing deterioration in any of the following: Modified Barthel Index (MBI), independence in Timed Up and Go test or walking, and/or need for walking aid.
Results
Overall, 56% (950/1693) patients (mean age 81.9 years) exhibited in‐hospital functional decline. Premorbid MBI (odds ratio (OR) 1.05 per unit increase, P < 0.001), adverse drug reaction (OR 1.50, P = 0.001) and in‐hospital consultation as the referral source (OR 1.57, P = 0.001) were independently associated with functional decline, adjusting for age, dementia and nursing home residence.
Conclusion
These factors may aid identification of vulnerable patients who might particularly benefit from targeted multidisciplinary intervention. Further studies validating this, and exploring the impact of focussed management, are needed.</description><identifier>ISSN: 1440-6381</identifier><identifier>EISSN: 1741-6612</identifier><identifier>DOI: 10.1111/ajag.12458</identifier><identifier>PMID: 28856791</identifier><language>eng</language><publisher>Australia</publisher><subject>Activities of Daily Living ; Age Factors ; Aged ; Aged, 80 and over ; Aging ; Comorbidity ; Dependent Ambulation ; Disability Evaluation ; Drug-Related Side Effects and Adverse Reactions - epidemiology ; Female ; frail elderly ; function ; Geriatric Assessment ; Health Status ; hospitalization ; Humans ; Logistic Models ; Male ; Mobility Limitation ; Multivariate Analysis ; New South Wales - epidemiology ; Odds Ratio ; Patient Admission ; Patient Discharge ; patient outcome assessment ; Prognosis ; Prospective Studies ; Risk Factors ; Time Factors</subject><ispartof>Australasian journal on ageing, 2017-12, Vol.36 (4), p.E57-E63</ispartof><rights>2017 AJA Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3298-c1edc0954aed57d8832ad621c1bc28a106bde728e6d1159fdef373550d0db2cb3</citedby><cites>FETCH-LOGICAL-c3298-c1edc0954aed57d8832ad621c1bc28a106bde728e6d1159fdef373550d0db2cb3</cites><orcidid>0000-0002-7711-9718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fajag.12458$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fajag.12458$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28856791$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Basic, David</creatorcontrib><creatorcontrib>Ní Chróinín, Danielle</creatorcontrib><creatorcontrib>Conforti, David</creatorcontrib><creatorcontrib>Shanley, Chris</creatorcontrib><title>Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study</title><title>Australasian journal on ageing</title><addtitle>Australas J Ageing</addtitle><description>Objective
We sought to investigate the incidence of, and factors associated with, in‐hospital functional decline among older acute hospital patients.
Methods
We conducted a prospective observational study of consecutive patients admitted under geriatric medicine over 5 years. The primary outcome measure was functional decline between admission and discharge, representing deterioration in any of the following: Modified Barthel Index (MBI), independence in Timed Up and Go test or walking, and/or need for walking aid.
Results
Overall, 56% (950/1693) patients (mean age 81.9 years) exhibited in‐hospital functional decline. Premorbid MBI (odds ratio (OR) 1.05 per unit increase, P < 0.001), adverse drug reaction (OR 1.50, P = 0.001) and in‐hospital consultation as the referral source (OR 1.57, P = 0.001) were independently associated with functional decline, adjusting for age, dementia and nursing home residence.
Conclusion
These factors may aid identification of vulnerable patients who might particularly benefit from targeted multidisciplinary intervention. Further studies validating this, and exploring the impact of focussed management, are needed.</description><subject>Activities of Daily Living</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Comorbidity</subject><subject>Dependent Ambulation</subject><subject>Disability Evaluation</subject><subject>Drug-Related Side Effects and Adverse Reactions - epidemiology</subject><subject>Female</subject><subject>frail elderly</subject><subject>function</subject><subject>Geriatric Assessment</subject><subject>Health Status</subject><subject>hospitalization</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Mobility Limitation</subject><subject>Multivariate Analysis</subject><subject>New South Wales - epidemiology</subject><subject>Odds Ratio</subject><subject>Patient Admission</subject><subject>Patient Discharge</subject><subject>patient outcome assessment</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Risk Factors</subject><subject>Time Factors</subject><issn>1440-6381</issn><issn>1741-6612</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LAzEQhoMotn5c_AGSowhbM9mvrLdStCoFPeh5ySazNWW7qclupUf_uamtHp3LvJCHh8lLyAWwEYS5kQs5HwFPUnFAhpAnEGUZ8MOQk4RFWSxgQE68XzDGQQh-TAZciDTLCxiSrxeH2qjOOk9tS6VeGu9NSLamdd-qLmTZUI2qMS1SubTtnNpGo6Mr2RlsO0_frV-ZTjbGo6a1dVSqvkOqpMNbOqYrF94xmNZIbeXRreXe6rteb87IUS0bj-f7fUre7u9eJw_R7Hn6OBnPIhXzQkQKUCtWpIlEneZaiJhLnXFQUCkuJLCs0phzgZkGSItaYx3ncZoyzXTFVRWfkqudN9zz0aPvyvBVhU0jW7S9L6GIEy44y0RAr3eoCqd7h3W5cmYp3aYEVm4rL7eVlz-VB_hy7-2rJeo_9LfjAMAO-DQNbv5RleOn8XQn_QYS4Y8g</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Basic, David</creator><creator>Ní Chróinín, Danielle</creator><creator>Conforti, David</creator><creator>Shanley, Chris</creator><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/0000-0002-7711-9718</orcidid></search><sort><creationdate>201712</creationdate><title>Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study</title><author>Basic, David ; Ní Chróinín, Danielle ; Conforti, David ; Shanley, Chris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3298-c1edc0954aed57d8832ad621c1bc28a106bde728e6d1159fdef373550d0db2cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Activities of Daily Living</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Comorbidity</topic><topic>Dependent Ambulation</topic><topic>Disability Evaluation</topic><topic>Drug-Related Side Effects and Adverse Reactions - epidemiology</topic><topic>Female</topic><topic>frail elderly</topic><topic>function</topic><topic>Geriatric Assessment</topic><topic>Health Status</topic><topic>hospitalization</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Mobility Limitation</topic><topic>Multivariate Analysis</topic><topic>New South Wales - epidemiology</topic><topic>Odds Ratio</topic><topic>Patient Admission</topic><topic>Patient Discharge</topic><topic>patient outcome assessment</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Risk Factors</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Basic, David</creatorcontrib><creatorcontrib>Ní Chróinín, Danielle</creatorcontrib><creatorcontrib>Conforti, David</creatorcontrib><creatorcontrib>Shanley, Chris</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>Australasian journal on ageing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Basic, David</au><au>Ní Chróinín, Danielle</au><au>Conforti, David</au><au>Shanley, Chris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study</atitle><jtitle>Australasian journal on ageing</jtitle><addtitle>Australas J Ageing</addtitle><date>2017-12</date><risdate>2017</risdate><volume>36</volume><issue>4</issue><spage>E57</spage><epage>E63</epage><pages>E57-E63</pages><issn>1440-6381</issn><eissn>1741-6612</eissn><abstract>Objective
We sought to investigate the incidence of, and factors associated with, in‐hospital functional decline among older acute hospital patients.
Methods
We conducted a prospective observational study of consecutive patients admitted under geriatric medicine over 5 years. The primary outcome measure was functional decline between admission and discharge, representing deterioration in any of the following: Modified Barthel Index (MBI), independence in Timed Up and Go test or walking, and/or need for walking aid.
Results
Overall, 56% (950/1693) patients (mean age 81.9 years) exhibited in‐hospital functional decline. Premorbid MBI (odds ratio (OR) 1.05 per unit increase, P < 0.001), adverse drug reaction (OR 1.50, P = 0.001) and in‐hospital consultation as the referral source (OR 1.57, P = 0.001) were independently associated with functional decline, adjusting for age, dementia and nursing home residence.
Conclusion
These factors may aid identification of vulnerable patients who might particularly benefit from targeted multidisciplinary intervention. Further studies validating this, and exploring the impact of focussed management, are needed.</abstract><cop>Australia</cop><pmid>28856791</pmid><doi>10.1111/ajag.12458</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-7711-9718</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1440-6381 |
| ispartof | Australasian journal on ageing, 2017-12, Vol.36 (4), p.E57-E63 |
| issn | 1440-6381 1741-6612 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1934282068 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Activities of Daily Living Age Factors Aged Aged, 80 and over Aging Comorbidity Dependent Ambulation Disability Evaluation Drug-Related Side Effects and Adverse Reactions - epidemiology Female frail elderly function Geriatric Assessment Health Status hospitalization Humans Logistic Models Male Mobility Limitation Multivariate Analysis New South Wales - epidemiology Odds Ratio Patient Admission Patient Discharge patient outcome assessment Prognosis Prospective Studies Risk Factors Time Factors |
| title | Predictors on admission of functional decline among older patients hospitalised for acute care: A prospective observational study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T15%3A00%3A23IST&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=Predictors%20on%20admission%20of%20functional%20decline%20among%20older%20patients%20hospitalised%20for%20acute%20care:%20A%20prospective%20observational%20study&rft.jtitle=Australasian%20journal%20on%20ageing&rft.au=Basic,%20David&rft.date=2017-12&rft.volume=36&rft.issue=4&rft.spage=E57&rft.epage=E63&rft.pages=E57-E63&rft.issn=1440-6381&rft.eissn=1741-6612&rft_id=info:doi/10.1111/ajag.12458&rft_dat=%3Cproquest_cross%3E1934282068%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1934282068&rft_id=info:pmid/28856791&rfr_iscdi=true |