Effect of the STRIDE fall injury prevention intervention on falls, fall injuries, and health‐related quality of life

Background Falls are common in older adults and can lead to severe injuries. The Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial cluster‐randomized 86 primary care practices across 10 health systems to a multifactorial intervention to prevent fall injuries, delivered by...

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Published inJournal of the American Geriatrics Society (JAGS) Vol. 70; no. 11; pp. 3221 - 3229
Main Authors Ganz, David A., Yuan, Anita H., Greene, Erich J., Latham, Nancy K., Araujo, Katy, Siu, Albert L., Magaziner, Jay, Gurwitz, Jerry H., Wu, Albert W., Alexander, Neil B., Wallace, Robert B., Greenspan, Susan L., Rich, Jeremy, Volpi, Elena, Waring, Stephen C., Dykes, Patricia C., Ko, Fred, Resnick, Neil M., McMahon, Siobhan K., Basaria, Shehzad, Wang, Rixin, Lu, Charles, Esserman, Denise, Dziura, James, Miller, Michael E., Travison, Thomas G., Peduzzi, Peter, Bhasin, Shalender, Reuben, David B., Gill, Thomas M.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.11.2022
Wiley Subscription Services, Inc
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ISSN0002-8614
1532-5415
1532-5415
DOI10.1111/jgs.17964

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Summary:Background Falls are common in older adults and can lead to severe injuries. The Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial cluster‐randomized 86 primary care practices across 10 health systems to a multifactorial intervention to prevent fall injuries, delivered by registered nurses trained as falls care managers, or enhanced usual care. STRIDE enrolled 5451 community‐dwelling older adults age ≥70 at increased fall injury risk. Methods We assessed fall‐related outcomes via telephone interviews of participants (or proxies) every 4 months. At baseline, 12 and 24 months, we assessed health‐related quality of life (HRQOL) using the EQ‐5D‐5L and EQ‐VAS. We used Poisson models to assess intervention effects on falls, fall‐related fractures, fall injuries leading to hospital admission, and fall injuries leading to medical attention. We used hierarchical longitudinal linear models to assess HRQOL. Results For recurrent event models, intervention versus control incidence rate ratios were 0.97 (95% confidence interval [CI], 0.93–1.00; p = 0.048) for falls, 0.93 (95% CI, 0.80–1.08; p = 0.337) for self‐reported fractures, 0.89 (95% CI, 0.73–1.07; p = 0.205) for adjudicated fractures, 0.91 (95% CI, 0.77–1.07; p = 0.263) for falls leading to hospital admission, and 0.97 (95% CI, 0.89–1.06; p = 0.477) for falls leading to medical attention. Similar effect sizes (non‐significant) were obtained for dichotomous outcomes (e.g., participants with ≥1 events). The difference in least square mean change over time in EQ‐5D‐5L (intervention minus control) was 0.009 (95% CI, −0.002 to 0.019; p = 0.106) at 12 months and 0.005 (95% CI, −0.006 to 0.015; p = 0.384) at 24 months. Conclusions Across a standard set of outcomes typically reported in fall prevention studies, we observed modest improvements, one of which was statistically significant. Future work should focus on patient‐, practice‐, and organization‐level operational strategies to increase the real‐world effectiveness of interventions, and improving the ability to detect small but potentially meaningful clinical effects. Clinicaltrials.gov identifier: NCT02475850.
Bibliography:Funding information
National Institutes of Health, Grant/Award Numbers: 5U01AG048270, KL2TR000113, P30AG031679, P30AG021342, P30AG024824, P30AG024827, P30AG024832, UL1TR000114, UL1TR000142; Patient‐Centered Outcomes Research Institute
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Author Contributions: David A. Ganz and Anita H. Yuan had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors meet the criteria for authorship stated in the Uniform Requirements for Manuscripts Submitted to Biomedical Journals. Study concept and design: Ganz, Latham, Siu, Magaziner, Travison, Gill. Acquisition of data: Araujo, Siu, Gurwitz, Wu, Alexander, Wallace, Greenspan, Rich, Volpi, Waring, Dykes, Ko, Resnick, Lu. Analysis and interpretation of data: Ganz, Yuan, Greene, Latham, Araujo, Siu, Gurwitz, Wu, Alexander, Wallace, Rich, Waring, Dykes, Ko, McMahon, Esserman, Dziura, Miller, Travison, Peduzzi, Bhasin, Reuben, Gill. Preparation of manuscript: Ganz. Critical revision of the manuscript for important intellectual content: All authors.
ISSN:0002-8614
1532-5415
1532-5415
DOI:10.1111/jgs.17964