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The ACTIVE cognitive training trial and predicted medical expenditures

BACKGROUND: Health care expenditures for older adults are disproportionately high and increasing at both the individual and population levels. We evaluated the effects of the three cognitive training interventions (memory, reasoning, or speed of processing) in the ACTIVE study on changes in predicte...

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Autores principales: Wolinsky, Fredric D, Mahncke, Henry W, Kosinski, Mark, Unverzagt, Frederick W, Smith, David M, Jones, Richard N, Stoddard, Anne, Tennstedt, Sharon L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711068/
https://www.ncbi.nlm.nih.gov/pubmed/19558724
http://dx.doi.org/10.1186/1472-6963-9-109
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author Wolinsky, Fredric D
Mahncke, Henry W
Kosinski, Mark
Unverzagt, Frederick W
Smith, David M
Jones, Richard N
Stoddard, Anne
Tennstedt, Sharon L
author_facet Wolinsky, Fredric D
Mahncke, Henry W
Kosinski, Mark
Unverzagt, Frederick W
Smith, David M
Jones, Richard N
Stoddard, Anne
Tennstedt, Sharon L
author_sort Wolinsky, Fredric D
collection PubMed
description BACKGROUND: Health care expenditures for older adults are disproportionately high and increasing at both the individual and population levels. We evaluated the effects of the three cognitive training interventions (memory, reasoning, or speed of processing) in the ACTIVE study on changes in predicted medical care expenditures. METHODS: ACTIVE was a multisite randomized controlled trial of older adults (≥ 65). Five-year follow-up data were available for 1,804 of the 2,802 participants. Propensity score weighting was used to adjust for potential attrition bias. Changes in predicted annualmedical expenditures were calculated at the first and fifth annual follow-up assessments using a new method for translating functional status scores. Multiple linear regression methods were used in this cost-offset analysis. RESULTS: At one and five years post-training, annual predicted expenditures declinedby $223 (p = .024) and $128 (p = .309), respectively, in the speed of processing treatment group, but there were no statistically significant changes in the memory or reasoning treatment groups compared to the no-contact control group at either period. Statistical adjustment for age, race, education, MMSE scores, ADL and IADL performance scores, EPT scores, chronic condition counts, and the SF-36 PCS and MCS scores at baseline did not alter the one-year ($244; p = .012) or five-year ($143; p = .250) expenditure declines in the speed of processing treatment group. CONCLUSION: The speed of processing intervention significantly reduced subsequent annual predicted medical care expenditures at the one-year post-baseline comparison, but annual savings were no longer statistically significant at the five-year post-baseline comparison.
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spelling pubmed-27110682009-07-16 The ACTIVE cognitive training trial and predicted medical expenditures Wolinsky, Fredric D Mahncke, Henry W Kosinski, Mark Unverzagt, Frederick W Smith, David M Jones, Richard N Stoddard, Anne Tennstedt, Sharon L BMC Health Serv Res Research Article BACKGROUND: Health care expenditures for older adults are disproportionately high and increasing at both the individual and population levels. We evaluated the effects of the three cognitive training interventions (memory, reasoning, or speed of processing) in the ACTIVE study on changes in predicted medical care expenditures. METHODS: ACTIVE was a multisite randomized controlled trial of older adults (≥ 65). Five-year follow-up data were available for 1,804 of the 2,802 participants. Propensity score weighting was used to adjust for potential attrition bias. Changes in predicted annualmedical expenditures were calculated at the first and fifth annual follow-up assessments using a new method for translating functional status scores. Multiple linear regression methods were used in this cost-offset analysis. RESULTS: At one and five years post-training, annual predicted expenditures declinedby $223 (p = .024) and $128 (p = .309), respectively, in the speed of processing treatment group, but there were no statistically significant changes in the memory or reasoning treatment groups compared to the no-contact control group at either period. Statistical adjustment for age, race, education, MMSE scores, ADL and IADL performance scores, EPT scores, chronic condition counts, and the SF-36 PCS and MCS scores at baseline did not alter the one-year ($244; p = .012) or five-year ($143; p = .250) expenditure declines in the speed of processing treatment group. CONCLUSION: The speed of processing intervention significantly reduced subsequent annual predicted medical care expenditures at the one-year post-baseline comparison, but annual savings were no longer statistically significant at the five-year post-baseline comparison. BioMed Central 2009-06-29 /pmc/articles/PMC2711068/ /pubmed/19558724 http://dx.doi.org/10.1186/1472-6963-9-109 Text en Copyright © 2009 Wolinsky et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wolinsky, Fredric D
Mahncke, Henry W
Kosinski, Mark
Unverzagt, Frederick W
Smith, David M
Jones, Richard N
Stoddard, Anne
Tennstedt, Sharon L
The ACTIVE cognitive training trial and predicted medical expenditures
title The ACTIVE cognitive training trial and predicted medical expenditures
title_full The ACTIVE cognitive training trial and predicted medical expenditures
title_fullStr The ACTIVE cognitive training trial and predicted medical expenditures
title_full_unstemmed The ACTIVE cognitive training trial and predicted medical expenditures
title_short The ACTIVE cognitive training trial and predicted medical expenditures
title_sort active cognitive training trial and predicted medical expenditures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711068/
https://www.ncbi.nlm.nih.gov/pubmed/19558724
http://dx.doi.org/10.1186/1472-6963-9-109
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