The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Interventions for the prevention of falls in older adults: systematic review and meta-analysis of randomised clinical trials
Open accessAbstract
Objective To assess the relative effectiveness of interventions to prevent falls in older adults to either a usual care group or control group. Table 2 Components of multifactorial falls risk assessment Trial Orthostatic blood pressure Vision Balance and gait Drug review Instrumental activities of daily living or activities of daily living Cognitive evaluation Environmental hazards Other Carpenter 1990 w4 No No No No Yes No No Fabacher 1994 w13 Yes Yes Yes Yes Yes Yes Yes Assessment of hearing and depression Rubenstein 1990 w30 Yes Yes Yes Yes Yes Yes Yes Neurological and musculoskeletal examination, laboratory tests, 24 hour heart monitor Tinetti 1994 w37 Yes No Yes Yes No No Yes Muscle strength and range of motion Wagner 1994 w39 No Yes No Yes No No Yes Hearing, assessment of alcohol misuse, assessment of physical activity Gallagher 1996 w15 Yes Yes Yes Yes Yes Yes Yes List of health problems Coleman 1999 w7 No No No Yes No No No Self management skills, health assessment Close 1999 w6 Yes Yes Yes Yes Yes Yes Yes Affect, carotid sinus studies (if clinical suspicion) McMurdo 2000 w21 Yes Yes No Yes No No No Review of lighting in environment Van Haastregt 2000 w38 No No No Yes Yes Yes Yes Physical health, psychosocial functioning Millar 1999 w24 Yes Yes No Yes No No No Review of lighting in environment Crome 2000 w8 * Jensen 2002 w17 No Yes Yes Yes Yes Yes Yes Hearing, review of lighting in environment, assistive device (for example, cane, walker), review of use of device, and repair of device if needed See table A on bmj.com for details of references. * No specific components stated. Design Systematic review and meta-analyses. Data sources Medline, HealthSTAR, Embase, the Cochrane Library, other health related databases, and the reference lists from review articles and systematic reviews. Data extraction Components of falls intervention: multifactorial falls risk assessment with management programme, exercise, environmental modifications, or education. Results 40 trials were identified. A random effects analysis combining trials with risk ratio data showed a reduction in the risk of falling (risk ratio 0.88, 95% confidence interval 0.82 to 0.95), whereas combining trials with incidence rate data showed a reduction in the monthly rate of falling (incidence rate ratio 0.80, 0.72 to 0.88). The effect of individual components was assessed by meta-regression. A multifactorial falls risk assessment and management programme was the most effective component on risk of falling (0.82, 0.72 to 0.94, number needed to treat 11) and monthly fall rate (0.63, 0.49 to 0.83; 11.8 fewer falls in treatment group per 100 patients per month). Exercise interventions also had a beneficial effect on the risk of falling (0.86, 0.75 to 0.99, number needed to treat 16) and monthly fall rate (0.86, 0.73 to 1.01;2.7). Conclusions Interventions to prevent falls in older adults are effective in reducing both the risk of falling and the monthly rate of falling. The most effective intervention was a multifactorial falls risk assessment and management programme. Exercise programmes were also effective in reducing the risk of falling.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Assessing the quality of reports of randomized clinical trials: Is blinding necessary?
Jadad, A. R., Moore, R. A., Carroll, D., Jenkinson, C., Reynolds, D. J. M., Gavaghan, D. J., & McQuay, H. J. (1996) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00134-4 · Cited by 17,582
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis
Jüni, P. (1999) · JAMA · doi:10.1001/jama.282.11.1054 · Cited by 1,981
Wolf, S. L., Barnhart, H. X., Kutner, N. G., McNeely, E., Coogler, C., Xu, T., & Atlanta FICSIT Group (1996) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1996.tb01432.x · Cited by 1,142
Shaw, F. E., Bond, J., Richardson, D. A., Dawson, P., Steen, I. N., McKeith, I. G., & Kenny, R. A. (2003) · BMJ · doi:10.1136/bmj.326.7380.73 · Cited by 414
Cited by
Lautenschlager, N. T., Cox, K. L., Flicker, L., Foster, J. K., van Bockxmeer, F. M., Xiao, J., Greenop, K. R., & Almeida, O. P. (2008) · JAMA · doi:10.1001/jama.300.9.1027 · Cited by 1,637
Effective Exercise for the Prevention of Falls: A Systematic Review and Meta‐Analysis
Sherrington, C., Whitney, J. C., Lord, S. R., Herbert, R. D., Cumming, R. G., & Close, J. C. T. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.02014.x · Cited by 1,309
Physical Activity and Bone Health
Kohrt, W. M., Bloomfield, S. A., Little, K. D., Nelson, M. E., & Yingling, V. R. (2004) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000142662.21767.58 · Cited by 1,043
Beswick, A. D., Rees, K., Dieppe, P., Ayis, S., Gooberman-Hill, R., Horwood, J., & Ebrahim, S. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60342-6 · Cited by 780
The Exercise and Sports Science Australia position statement: Exercise medicine in cancer management
Hayes, S. C., Newton, R. U., Spence, R. R., & Galvão, D. A. (2019) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2019.05.003 · Cited by 506
Metadata
- Authors
- Chang, J. T., Morton, S. C., Rubenstein, L. Z., Mojica, W. A., Maglione, M., Suttorp, M. J., Roth, E. A., & Shekelle, P. G.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2004-03-18
- Volume
- 328
- Issue
- 7441
- Pages
- 680
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2062261076
- Cited by
- 1,168
- References
- 8
- FWCI
- 8.08
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.