{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T07:49:54Z","timestamp":1784792994725,"version":"3.55.0"},"reference-count":32,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T00:00:00Z","timestamp":1485993600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000133","name":"Agency for Healthcare Research and Quality","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2017,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      To describe the association between restricted life\u2010space and characteristics of community\u2010dwelling adults hospitalized for congestive heart failure (\n                      <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n                      ) or chronic obstructive pulmonary disease (\n                      <jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content>\n                      ), to estimate the effect of hospitalization on postdischarge mobility, and to determine whether baseline restricted life\u2010space predicts hospital readmission.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Observational.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>Urban academic hospital that serves as a safety net for urban and rural populations with low resources and serves central and northern Alabama.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>\n                      Individuals with\n                      <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n                      or\n                      <jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content>\n                      hospitalized from home (N = 478).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measurements<\/jats:title>\n                    <jats:p>\n                      The Life\u2010Space Assessment (\n                      <jats:styled-content style=\"fixed-case\">LSA<\/jats:styled-content>\n                      ) measures mobility by asking about movement in situations ranging from within one's dwelling to beyond one's town.\n                      <jats:styled-content style=\"fixed-case\">LSA<\/jats:styled-content>\n                      scores below 60 correspond to \u201crestricted life\u2010space.\u201d Baseline\n                      <jats:styled-content style=\"fixed-case\">LSA<\/jats:styled-content>\n                      scores before admission were measured during an index hospitalization; follow\u2010up\n                      <jats:styled-content style=\"fixed-case\">LSA<\/jats:styled-content>\n                      scores were determined over the telephone at 90 days. Participant characteristics were examined according to baseline restricted life\u2010space using the chi\u2010square test and Student's\n                      <jats:italic>t<\/jats:italic>\n                      \u2010test. Each characteristic's association with restricted life\u2010space was estimated uisng logistic regression.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the participants, 372 (77.8%) were classified as having baseline restricted life\u2010space. Baseline restricted life\u2010space was associated with older age (odds ratio (OR) = 1.29 per decade, 95% confidence interval (\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      ) = 1.17\u20131.42,\n                      <jats:italic>P<\/jats:italic>\n                      = .001), female sex (\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      = 2.69, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 1.69\u20134.29,\n                      <jats:italic>P<\/jats:italic>\n                      &lt; .001), African\u2010American race (\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      = 1.55, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 1.00\u20132.41,\n                      <jats:italic>P<\/jats:italic>\n                      = .05), and having inadequate financial resources (\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      = 2.03, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 1.22\u20133.38,\n                      <jats:italic>P<\/jats:italic>\n                      = .006). In the baseline unrestricted life\u2010space group, 49.5% (n = 49) had restricted life\u2010space at 90\u2010day follow\u2010up. Baseline restricted life\u2010space was associated with greater odds of 90\u2010day hospital readmission (unadjusted\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      = 1.64, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 1.00\u20132.70,\n                      <jats:italic>P<\/jats:italic>\n                      = .05; adjusted\n                      <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>\n                      = 1.72, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      = 1.04\u20132.85,\n                      <jats:italic>P<\/jats:italic>\n                      = .03).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Baseline restricted life\u2010space 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\n                      <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n                      or\n                      <jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content>\n                      based on baseline life\u2010space level.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.14739","type":"journal-article","created":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T11:48:55Z","timestamp":1486036135000},"page":"1004-1011","source":"Crossref","is-referenced-by-count":38,"title":["Life\u2010Space Assessment Predicts Hospital Readmission in Home\u2010Limited Adults"],"prefix":"10.1111","volume":"65","author":[{"given":"Roya","family":"Fathi","sequence":"first","affiliation":[{"name":"Division of Geriatrics University of California at San Francisco San Francisco California"},{"name":"Division of Geriatrics San Francisco Veterans Affairs Medical Center San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Bacchetti","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics University of California at San Francisco San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary N.","family":"Haan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics University of California at San Francisco San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas K.","family":"Houston","sequence":"additional","affiliation":[{"name":"Quantitative Health Sciences University of Massachusetts Medical School Worcester Massachusetts"},{"name":"Center for Healthcare Organization and Implementation Research Bedford Veterans Affairs Medical Center Bedford Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kanan","family":"Patel","sequence":"additional","affiliation":[{"name":"Division of Geriatrics University of California at San Francisco San Francisco California"},{"name":"Center for Research on Aging Jewish Home of San Francisco San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine S.","family":"Ritchie","sequence":"additional","affiliation":[{"name":"Division of Geriatrics University of California at San Francisco San Francisco California"},{"name":"Center for Research on Aging Jewish Home of San Francisco San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,2,2]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2015.1849"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2014.1008"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2010.03161.x"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2007.01641.x"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa0803563"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/61.4.411"},{"key":"e_1_2_6_8_1","unstructured":"UAB Study of Aging[on\u2010line]. Available athttps:\/\/www.uab.edu\/medicine\/aging\/uab-study-of-agingAccessed March 17 2016."},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1532-5415.2003.51512.x"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/ptj\/85.10.1008"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/0898264313497507"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-6-200903170-00005"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.12787"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511763151.014"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2012.08.007"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1176\/ajp.140.6.734"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.archger.2011.02.016"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-1497.2003.20722.x"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1300\/J027v24n01_08"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-138-3-200302040-00007"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13142-016-0422-8"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gerinurse.2015.06.013"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.12974"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.13088"},{"key":"e_1_2_6_25_1","unstructured":"Affordable Care Act payment model continues to improve care lower costs. Centers for Medicare and Medicaid Services;2016.https:\/\/www.cms.gov\/Newsroom\/MediaReleaseDatabase\/Press-releases\/2016-Press-releases-items\/2016-08-09.htmlAccessed January 9 2017"},{"key":"e_1_2_6_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.13030"},{"key":"e_1_2_6_27_1","unstructured":"Affordable Care Act payment model saves more than $25 million in first performance year. Centers for Medicare and Medicaid Services;2015.https:\/\/www.cms.gov\/Newsroom\/MediaReleaseDatabase\/Press-releases\/2015-Press-releases-items\/2015-06-18.htmlAccessed June 26 2015"},{"key":"e_1_2_6_28_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1532-5415.2003.51152.x"},{"key":"e_1_2_6_29_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-118-3-199302010-00011"},{"key":"e_1_2_6_30_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199505183322006"},{"key":"e_1_2_6_31_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199903043400901"},{"key":"e_1_2_6_32_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2004.52354.x"},{"key":"e_1_2_6_33_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2013.301687"}],"container-title":["Journal of the American Geriatrics Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fjgs.14739","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/agsjournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jgs.14739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T19:55:32Z","timestamp":1762199732000},"score":1,"resource":{"primary":{"URL":"https:\/\/agsjournals.onlinelibrary.wiley.com\/doi\/10.1111\/jgs.14739"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,2]]},"references-count":32,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2017,5]]}},"alternative-id":["10.1111\/jgs.14739"],"URL":"https:\/\/doi.org\/10.1111\/jgs.14739","archive":["Portico"],"relation":{},"ISSN":["0002-8614","1532-5415"],"issn-type":[{"value":"0002-8614","type":"print"},{"value":"1532-5415","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,2]]}}}