Journal article
Protocol for serious fall injury adjudication in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study
Injury epidemiology, Vol.6(1), 14
04/15/2019
DOI: 10.1186/s40621-019-0190-2
PMCID: PMC6582694
PMID: 31245263
Abstract
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.
Details
- Title: Subtitle
- Protocol for serious fall injury adjudication in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study
- Creators
- David A. Ganz - University of California, Los AngelesAlbert L. Siu - Icahn School of Medicine at Mount SinaiJay Magaziner - University of Maryland, BaltimoreNancy K. Latham - Harvard UniversityThomas G. Travison - Harvard UniversityNancy P. Lorenze - Yale UniversityCharles Lu - Yale UniversityRixin Wang - Yale UniversityErich J. Greene - Yale UniversityCynthia L. Stowe - Wake Forest UniversityLea N. Harvin - Wake Forest UniversityKaty L. B. Araujo - Yale UniversityJerry H. Gurwitz - University of Massachusetts Chan Medical SchoolYuri Agrawal - Johns Hopkins UniversityRosaly Correa-De-Araujo - National Institutes of HealthPeter Peduzzi - Yale UniversityThomas M. Gill - New Haven, CT USASTRIDE Investigators
- Contributors
- Robert B Wallace (Contributor) - University of Iowa, Internal Medicine
- Resource Type
- Journal article
- Publication Details
- Injury epidemiology, Vol.6(1), 14
- DOI
- 10.1186/s40621-019-0190-2
- PMID
- 31245263
- PMCID
- PMC6582694
- NLM abbreviation
- Inj Epidemiol
- ISSN
- 2197-1714
- eISSN
- 2197-1714
- Publisher
- BioMed Central
- Grant note
- 5U01AG048270; P30-AG013679; K07AG043587; P30AG021342 / ; N/A / ; UL1TR000142; UL1TR001102 / ;
- Language
- English
- Date published
- 04/15/2019
- Academic Unit
- Epidemiology; Injury Prevention Research Center; Internal Medicine
- Record Identifier
- 9984363609602771
Metrics
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