ArticleInjury epidemiology2019
Protocol for serious fall injury adjudication in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study.
Article in Injury epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02475850 (Randomized Trial of a Multifactorial Fall Injury Prevention Strategy), which is not on this map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Randomized Trial of a Multifactorial Fall Injury Prevention Strategy
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention.Journal of clinical epidemiology · 2025Trial
- A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries.The New England journal of medicine · 2020Trial
- Optimizing Retention in a Pragmatic Trial of Community-Living Older Persons: The STRIDE Study.Journal of the American Geriatrics Society · 2020Trial
- Neuromotor frailty phenotype and fall risk in geriatrics with knee osteoarthritis: a cross-sectional analysis of physical therapy performance and psychometric outcomes.Frontiers in medicine · 2026Article
- Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials - A case study.Contemporary clinical trials · 2024Article
- Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- Costs of fall injuries in the STRIDE study: an economic evaluation of healthcare system heterogeneity and heterogeneity of treatment effect.Cost effectiveness and resource allocation : C/E · 2023Article
- Effect of the STRIDE fall injury prevention intervention on falls, fall injuries, and health-related quality of life.Journal of the American Geriatrics Society · 2022Article
- Vestibular therapy to reduce falls in people with Alzheimer's disease: study protocol for a pilot randomized controlled trial.Pilot and feasibility studies · 2022Article
- A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks.Statistical methods in medical research · 2022Article
- A case study of ascertainment bias for the primary outcome in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial.Clinical trials (London, England) · 2021Article
- Estimation of ascertainment bias and its effect on power in clinical trials with time-to-event outcomes.Statistics in medicine · 2021Article
- From screening to ascertainment of the primary outcome using electronic health records: Challenges in the STRIDE trial.Clinical trials (London, England) · 2020Article
Corrections and comments
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Authors and funding
18 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundThis 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.
methodsSTRIDE 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 registrationClinicalTrials.gov (NCT02475850).
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