4.4 Article

The ACTIVE cognitive training trial and predicted medical expenditures

Journal

BMC HEALTH SERVICES RESEARCH
Volume 9, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/1472-6963-9-109

Keywords

-

Funding

  1. National Institutes of Health
  2. Hebrew Senior Life, Boston [NR04507]
  3. Indiana University School of Medicine [NR04508]
  4. Johns Hopkins University [AG14260]
  5. New England Research Institutes [AG14282]
  6. Pennsylvania State University [AG14263]
  7. University of Alabama at Birmingham [AG14289]
  8. University of Florida [AG014276]
  9. Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service [HFP 04-149]
  10. Department of Health Management and Policy, College of Public Health, University of Iowa, 200 Hawkins Drive, E205 General Hospital, Iowa City, Iowa 52242

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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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