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dc.contributor.authorFathi, Roya
dc.contributor.authorBacchetti, Peter
dc.contributor.authorHaan, Mary N.
dc.contributor.authorHouston, Thomas K.
dc.contributor.authorPatel, Kanan
dc.contributor.authorRitchie, Christine S.
dc.date2022-08-11T08:08:22.000
dc.date.accessioned2022-08-23T15:52:35Z
dc.date.available2022-08-23T15:52:35Z
dc.date.issued2017-05-01
dc.date.submitted2017-12-06
dc.identifier.citation<p>J Am Geriatr Soc. 2017 May;65(5):1004-1011. doi: 10.1111/jgs.14739. Epub 2017 Feb 2. <a href="https://doi.org/10.1111/jgs.14739">Link to article on publisher's site</a></p>
dc.identifier.issn0002-8614 (Linking)
dc.identifier.doi10.1111/jgs.14739
dc.identifier.pmid28152175
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29172
dc.description.abstractOBJECTIVES: To describe the association between restricted life-space and characteristics of community-dwelling adults hospitalized for congestive heart failure (CHF) or chronic obstructive pulmonary disease (COPD), to estimate the effect of hospitalization on postdischarge mobility, and to determine whether baseline restricted life-space predicts hospital readmission. DESIGN: Observational. SETTING: Urban academic hospital that serves as a safety net for urban and rural populations with low resources and serves central and northern Alabama. PARTICIPANTS: Individuals with CHF or COPD hospitalized from home (N = 478). MEASUREMENTS: The Life-Space Assessment (LSA) measures mobility by asking about movement in situations ranging from within one's dwelling to beyond one's town. LSA scores below 60 correspond to "restricted life-space." Baseline LSA scores before admission were measured during an index hospitalization; follow-up LSA scores were determined over the telephone at 90 days. Participant characteristics were examined according to baseline restricted life-space using the chi-square test and Student's t-test. Each characteristic's association with restricted life-space was estimated uisng logistic regression. RESULTS: Of the participants, 372 (77.8%) were classified as having baseline restricted life-space. Baseline restricted life-space was associated with older age (odds ratio (OR) = 1.29 per decade, 95% confidence interval (CI) = 1.17-1.42, P = .001), female sex (OR = 2.69, 95% CI = 1.69-4.29, P < .001), African-American race (OR = 1.55, 95% CI = 1.00-2.41, P = .05), and having inadequate financial resources (OR = 2.03, 95% CI = 1.22-3.38, P = .006). In the baseline unrestricted life-space group, 49.5% (n = 49) had restricted life-space at 90-day follow-up. Baseline restricted life-space was associated with greater odds of 90-day hospital readmission (unadjusted OR = 1.64, 95% CI = 1.00-2.70, P = .05; adjusted OR = 1.72, 95% CI = 1.04-2.85, P = .03). CONCLUSION: Baseline restricted life-space was associated with greater risk of hospital readmission within 90 days after hospital discharge. These findings suggest a need to customize the management of individuals hospitalized with CHF or COPD based on baseline life-space level.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28152175&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1111/jgs.14739
dc.subjectfrail elderly
dc.subjecthomebound persons
dc.subjecthospital readmission
dc.subjectmobility limitation
dc.subjectEpidemiology
dc.subjectGeriatrics
dc.subjectHealth Services Administration
dc.titleLife-Space Assessment Predicts Hospital Readmission in Home-Limited Adults
dc.typeJournal Article
dc.source.journaltitleJournal of the American Geriatrics Society
dc.source.volume65
dc.source.issue5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1399
dc.identifier.contextkey11207528
html.description.abstract<p>OBJECTIVES: To describe the association between restricted life-space and characteristics of community-dwelling adults hospitalized for congestive heart failure (CHF) or chronic obstructive pulmonary disease (COPD), to estimate the effect of hospitalization on postdischarge mobility, and to determine whether baseline restricted life-space predicts hospital readmission.</p> <p>DESIGN: Observational.</p> <p>SETTING: Urban academic hospital that serves as a safety net for urban and rural populations with low resources and serves central and northern Alabama.</p> <p>PARTICIPANTS: Individuals with CHF or COPD hospitalized from home (N = 478).</p> <p>MEASUREMENTS: The Life-Space Assessment (LSA) measures mobility by asking about movement in situations ranging from within one's dwelling to beyond one's town. LSA scores below 60 correspond to "restricted life-space." Baseline LSA scores before admission were measured during an index hospitalization; follow-up LSA scores were determined over the telephone at 90 days. Participant characteristics were examined according to baseline restricted life-space using the chi-square test and Student's t-test. Each characteristic's association with restricted life-space was estimated uisng logistic regression.</p> <p>RESULTS: Of the participants, 372 (77.8%) were classified as having baseline restricted life-space. Baseline restricted life-space was associated with older age (odds ratio (OR) = 1.29 per decade, 95% confidence interval (CI) = 1.17-1.42, P = .001), female sex (OR = 2.69, 95% CI = 1.69-4.29, P < .001), African-American race (OR = 1.55, 95% CI = 1.00-2.41, P = .05), and having inadequate financial resources (OR = 2.03, 95% CI = 1.22-3.38, P = .006). In the baseline unrestricted life-space group, 49.5% (n = 49) had restricted life-space at 90-day follow-up. Baseline restricted life-space was associated with greater odds of 90-day hospital readmission (unadjusted OR = 1.64, 95% CI = 1.00-2.70, P = .05; adjusted OR = 1.72, 95% CI = 1.04-2.85, P = .03).</p> <p>CONCLUSION: Baseline restricted life-space was associated with greater risk of hospital readmission within 90 days after hospital discharge. These findings suggest a need to customize the management of individuals hospitalized with CHF or COPD based on baseline life-space level.</p>
dc.identifier.submissionpathfaculty_pubs/1399
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages1004-1011


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