ArticleBMJ open2024
Cost-effectiveness of falls prevention strategies for older adults: protocol for a living systematic review.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Automated Remote Detection of Falls Using Direct Reconstruction of Optical Flow Principal Motion Parameters.Sensors (Basel, Switzerland) · 2025Article
- Association between social disadvantage and falls in older adults: a longitudinal study.Revista CuidarteArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionOne-third of adults aged 65+ fall annually. Injuries from falls can be devastating for individuals and account for 1.5% of annual healthcare spending. With the growing ageing population, falls place increased strain on scarce health resources. Prevention strategies that target individuals at high risk for falls demonstrate the best value for money; however, limited efficiency (ie, cost-effectiveness) information for fall prevention interventions hinders the implementation of effective falls prevention programmes. Living systematic reviews provide a timely up-to-date evidence-based resource to inform clinical guidelines and health policy decisions. This protocol details the methodology for a living systematic review of the efficiency (ie, cost-effectiveness) of fall prevention interventions for older adults in three settings: community-dwelling, aged care and hospitals. METHODS AND ANALYSIS: This protocol used the reporting guidelines from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocol. Peer-reviewed economic evaluations of controlled clinical trials or health state models will be included. Reports will be obtained through monthly systematic searches of CENTRAL (Ovid), CINAHL (EBSCO), Embase (Ovid), MEDLINE (Ovid), SCOPUS (Elsevier) and Web of Science (Clarivate) alongside snowballing and handsearching EconLit and the Tufts Cost Effectivness Analysis Registry. Screening, data extraction, quality assessment and risk of bias will be assessed by multiple reviewers. The primary outcomes will be the incremental cost-effectiveness (ie, incremental cost per fall prevented), incremental cost-utility (ie, incremental cost per quality-adjusted life year gained) or cost-benefit ratio. Additional outcomes will include falls and cost-related measures. All economic outcomes will be reported in a common year and currency. Results will be reported as a narrative synthesis; meta-analysis will be considered based on data quality, suitability and availability. ETHICS AND DISSEMINATION: Ethical approval is not required as primary human data will not be collected. Results will be disseminated through peer-reviewed publications and a dedicated website. PROSPERO REGISTRATION NUMBER: CRD42024532485.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.