Improving Prediction of Long-Term Care Utilization Through Patient-Reported Measures: Cross-Sectional Analysis of High-Need U.S. Veterans Affairs Patients.
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| Title: | Improving Prediction of Long-Term Care Utilization Through Patient-Reported Measures: Cross-Sectional Analysis of High-Need U.S. Veterans Affairs Patients. |
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| Authors: | Jacobs JC; VA Palo Alto Health Care System, Menlo Park, CA, USA.; Stanford University School of Medicine, Stanford, CA, USA., Maciejewski ML; Durham Veterans Affairs Health Care System, NC, USA.; Duke University, Durham, NC, USA., Wagner TH; VA Palo Alto Health Care System, Menlo Park, CA, USA.; Stanford University School of Medicine, Stanford, CA, USA., Van Houtven CH; Durham Veterans Affairs Health Care System, NC, USA.; Duke University, Durham, NC, USA., Lo J; VA Palo Alto Health Care System, Menlo Park, CA, USA., Greene L; VA Palo Alto Health Care System, Menlo Park, CA, USA.; Stanford University School of Medicine, Stanford, CA, USA., Zulman DM; VA Palo Alto Health Care System, Menlo Park, CA, USA.; Stanford University School of Medicine, Stanford, CA, USA. |
| Source: | Medical care research and review : MCRR [Med Care Res Rev] 2022 Oct; Vol. 79 (5), pp. 676-686. Date of Electronic Publication: 2021 Dec 14. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Sage Periodicals Press Country of Publication: United States NLM ID: 9506850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6801 (Electronic) Linking ISSN: 10775587 NLM ISO Abbreviation: Med Care Res Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1552-6801 |
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| DOI: | 10.1177/10775587211062403 |
