Meyers Primary Care Institute; Department of Medicine
Clinical Epidemiology | Epidemiology | Geriatrics | Health Information Technology | Health Services Administration | Health Services Research
Background: This paper describes a protocol for determining the incidence of serious fall injuries for Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE), a large, multicenter pragmatic clinical trial with limited resources for event adjudication. We describe how administrative data (from participating health systems and Medicare claims) can be used to confirm participant-reported events, with more time- and resource-intensive full-text medical record data used only on an "as-needed" basis.
Methods: STRIDE is a pragmatic cluster-randomized controlled trial involving 5451 participants age > /= 70 and at increased risk for falls, served by 86 primary care practices in 10 US health systems. The STRIDE intervention involves a nurse falls care manager who assesses a participant's underlying risks for falls, suggests interventions using motivational interviewing, and then creates, implements and longitudinally follows up on an individualized care plan with the participant (and caregiver when appropriate), in partnership with the participant's primary care provider. STRIDE's primary outcome is serious fall injuries, defined as a fall resulting in: (1) medical attention billable according to Medicare guidelines with a) fracture (excluding isolated thoracic vertebral and/or lumbar vertebral fracture), b) joint dislocation, or c) cut requiring closure; OR (2) overnight hospitalization with a) head injury, b) sprain or strain, c) bruising or swelling, or d) other injury determined to be "serious" (i.e., burn, rhabdomyolysis, or internal injury). Two sources of data are required to confirm a serious fall injury. The primary data source is the participant's self-report of a fall leading to medical attention, identified during telephone interview every 4 months, with the confirmatory source being (1) administrative data capturing encounters at the participating health systems or Medicare claims and/or (2) the full text of medical records requested only as needed.
Discussion: Adjudication is ongoing, with over 1000 potentially qualifying events adjudicated to date. Administrative data can be successfully used for adjudication, as part of a hybrid approach that retrieves full-text medical records only when needed. With the continued refinement and availability of administrative data sources, future studies may be able to use administrative data completely in lieu of medical record review to maximize the quality of adjudication with finite resources.
Trial registration: ClinicalTrials.gov (NCT02475850).
Adjudication, Falls, Injuries, administrative data
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© The Author(s). 2019 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
DOI of Published Version
Ganz DA, Siu AL, Magaziner J, Latham NK, Travison TG, Lorenze NP, Lu C, Wang R, Greene EJ, Stowe CL, Harvin LN, Araujo KLB, Gurwitz JH, Agrawal Y, Correa-De-Araujo R, Peduzzi P, Gill TM; STRIDE Investigators. Protocol for serious fall injury adjudication in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study. Inj Epidemiol. 2019 Apr 15;6:14. doi: 10.1186/s40621-019-0190-2. PMID: 31245263; PMCID: PMC6582694. Link to article on publisher's site
Ganz DA, Gurwitz JH. (2019). Protocol for serious fall injury adjudication in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study. Open Access Publications by UMMS Authors. https://doi.org/10.1186/s40621-019-0190-2. Retrieved from https://escholarship.umassmed.edu/oapubs/4313
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This work is licensed under a Creative Commons Attribution 4.0 License.