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Abstract
Objective To assess the longer term effects of multifactorial interventions for preventing falls in older people living in the community, and to explore whether prespecific trial-level characteristics are associated with greater fall prevention effects.
Design Systematic review with meta-analysis and meta-regression.
Data sources MEDLINE, EMBASE, CINHAL, CENTRAL and trial registries were searched up to 25 July 2018.
Study selection We included randomised controlled trials (≥12 months’ follow-up) evaluating the effects of multifactorial interventions on falls in older people aged 65 years and over, living in the community, compared with either usual care or usual care plus advice.
Review methods Two authors independently verified studies for inclusion, assessed risk of bias and extracted data. Rate ratios (RaR) with 95% CIs were calculated for rate of falls, risk ratios (RR) for dichotomous outcomes and standardised mean difference for continuous outcomes. Data were pooled using a random effects model. The Grading of Recommendations, Assessment, Development and Evaluation was used to assess the quality of the evidence.
Results We included 41 trials totalling 19 369 participants; mean age 72–85 years. Exercise was the most common prespecified component of the multifactorial interventions (85%; n=35/41). Most trials were judged at unclear or high risk of bias in ≥1 domain. Twenty trials provided data on rate of falls and showed multifactorial interventions may reduce the rate at which people fall compared with the comparator (RaR 0.79, 95% CI 0.70 to 0.88; 20 trials; 10 116 participants; I2=90%; low-quality evidence). Multifactorial interventions may also slightly lower the risk of people sustaining one or more falls (RR 0.95, 95% CI 0.90 to 1.00; 30 trials; 13 817 participants; I2=56%; moderate-quality evidence) and recurrent falls (RR 0.88, 95% CI 0.78 to 1.00; 15 trials; 7277 participants; I2=46%; moderate-quality evidence). However, there may be little or no difference in other fall-related outcomes, such as fall-related fractures, falls requiring hospital admission or medical attention and health-related quality of life. Very few trials (n=3) reported on adverse events related to the intervention. Prespecified subgroup analyses showed that the effect on rate of falls may be smaller when compared with usual care plus advice as opposed to usual care only. Overall, heterogeneity remained high and was not explained by the prespecified characteristics included in the meta-regression.
Conclusion Multifactorial interventions (most of which include exercise prescription) may reduce the rate of falls and slightly reduce risk of older people sustaining one or more falls and recurrent falls (defined as two or more falls within a specified time period).
Trial registration number CRD42018102549.
- exercise rehabilitation
- physiotherapy
- elderly people
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Introduction
One-third of community-dwelling people aged 65 years and older fall each year, and this proportion increases with age.1 2 Falls can have serious long-term consequences,3–5 including loss of independence, morbidity and mortality.6 Fall-related risk factors7 include advancing age, history of previous falls, muscle weakness, gait and balance problems, poor vision and chronic diseases such as arthritis. Environmental factors such as lack of handrails, poor lighting, slippery or uneven surfaces, use of walking aids and poor footwear can also play a role.8 Most falls result from multiple interacting factors1 and generally the more risk factors a person has, the greater their chances are of having a fall. In the UK, the National Health Service is estimated to spend around £2.3 billion each year on fall-related injuries in people over the age of 65.2
Fall prevention interventions aim to minimise known modifiable risk factors for falling, and thereby prevent falls and associated injuries.8 Multifactorial interventions are recommended as a primary treatment strategy in a number of international guidelines for prevention of falls.2 9 10 Multifactorial interventions require a person to have a minimum of two or more modifiable risk factors for falling and the strategy involves tailoring interventions to each person’s particular risk profile.11 Hence, within any treatment cohort not all people receive the same combination of interventions. The manner in which multifactorial interventions are delivered varies. In some instances, the assessment and linked interventions are by the same provider. In others, one provider assesses the patient and interventions are provided through referral to other providers. Exercise programmes whether supervised or unsupervised, or involve a mixture of both, form an important part of many multifactorial interventions.11 The core interventions that the National Institute for Health and Care Excellence (NICE) guidelines recommend are: strength and balance training exercises, home hazard assessment and intervention, vision assessment and referral, as well as medication review with modification/withdrawal.2
A 2018 Cochrane review of interventions to prevent falls in community-dwelling older people showed that multifactorial interventions may reduce the rate of falls compared with usual care (ie, no active fall prevention intervention), but may have little or no effect on other fall-related outcomes.12 Estimates of effectiveness have varied over time and trials have struggled to demonstrate a consistent effect of multifactorial interventions over time and in different countries.12–16 Variation in follow-up and subtle differences in comparator groups likely contribute to the large levels of study heterogeneity.
We aimed to provide a contemporary synthesis of the effectiveness of multifactorial intervention for preventing falls in older people living in the community and to focus on trials which provide longer term follow-up (≥12 months). This duration was selected as it is the accepted minimal duration of follow-up recommended by NICE for robust appraisal of the effectiveness of interventions.17 We aimed to explore heterogeneity with meta-regression, and stability of effects over time.
Methods
Search strategy
We searched MEDLINE, EMBASE, CINAHL (up to 25 July 2018), the Cochrane Bone, Joint and Muscle Trauma Group Specialised Register (up to 12 June 2017) and the Cochrane Central Register of Controlled Trials (CENTRAL) (up to 2017 Issue 6) using tailored search strategies (online supplementary appendix 1). We also searched the WHO International Clinical Trials Registry Platform and ClinicalTrials.gov for ongoing and recently completed trials (up to 25 July 2018). There were no language or publication status restrictions.
Supplemental material
Study selection
Two reviewers independently (BC, PN, BA or GB), and in duplicate, screened titles and abstracts of all potentially eligible studies, for which we then obtained full-text reports. Subsequently, reviewers independently perform study selection and data extraction. Any disagreements were resolved by discussion or, if necessary, by consultation with a third reviewer. We included randomised controlled trials, either individual or cluster randomised, that evaluated the effects of a multifactorial intervention designed to prevent falls or fall-related injuries in people aged 65 years or over living in the community. A multifactorial intervention is defined as one in which interventions from two or more main categories of intervention are given to participants, but the interventions are linked to each individual’s risk profile (usually assessed using a formal process).18
Trials were included where the intervention was compared with either: (1) usual care (ie, no change to usual activities) or an attention control (an intervention not thought to reduce falls such as general health education or social visits); or (2) usual care plus non-tailored falls prevention advice in either written, audio or visual material format.
If the advice included individually tailored feedback on the participants’ risk profile or structured contact with health professionals the trial was excluded as this could be consistent with the components of a multifactorial intervention.
Trials with mixed populations (community and higher dependency places of residence) were eligible provided data were available separately, as were those that recruited participants in hospital if most participants were discharged to the community (where most of the intervention was delivered and falls recorded). We excluded trials that tested interventions for preventing falls in people after stroke and with Parkinson’s disease, or were quasirandomised.
Our primary outcome was the rate of falls (ie, number of falls per person-years). Secondary outcomes included the risk of: sustaining one or more falls; recurrent falls (defined as two or more falls in a specified time period); one or more fall-related fractures; a fall that required hospital admission; and a fall that required medical attention (eg, attended hospital emergency department, required general practitioner (GP) consultation) and health-related quality of life (measured using validated scale, eg, EQ-5D or similar). We only included trials with ≥12 months’ follow-up. If trials reported multiple time points we used the longest duration, or the duration for which most data were reported, if different.
Data extraction and risk of bias assessment
Reviewers (BC, PN or BA) extracted information independently and in duplicate for the following: trial design (setting, sample size, inclusion and exclusion criteria, comparability of groups, length of follow-up); characteristics of participants (age, gender, ethnicity, high risk of falls, number randomised, analysed, dropouts in each arm); type of intervention (experimental and control components, timing, adherence); and outcomes measured as listed above. We retrieved data from both full-text and abstract reports of trials. Where sources did not provide sufficient information, we attempted to contact study authors for additional details.
Two reviewers (BC, PN or BA) independently assessed risk of bias using the Cochrane risk of bias tool19 for the following domains: sequence generation; allocation concealment; blinding of participants and personnel (where due to the nature of the interventions, it was not possible to blind the participants and personnel); blinding of outcome assessment (assessed separately for: rate of falls and risk of falling; risk of fractures; requiring hospital admission/medical attention); incomplete outcome data including person-years of follow-up; and selective outcome reporting and bias specific to cluster trials. We also assessed bias in the recall of falls due to less reliable methods of ascertainment20 (ie, where falls were recorded retrospectively, or not monitored continuously throughout the trial) (online supplementary appendix 2). Each of the domains was scored as ‘high’, ‘low’ or ‘unclear’ risk of bias.
To assess the quality of evidence, we used the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach that classifies evidence as high, moderate, low or very low based on considerations of risk of bias, consistency, directness, precision and publication bias.21
Data synthesis and statistical methods
Estimates of treatment effect were extracted for each trial. For the rate of falls, we calculated the rate ratio (RaR) with 95% CIs. The rate of falls is defined as the total number of falls per unit of person time that falls were monitored (eg, falls per person-year). We used the reported RaR and 95% CIs if available, and used the length of follow-up reported as the proxy if exact person-months of follow-up were not reported. If trials reported both adjusted and unadjusted RaRs, we used the unadjusted estimate unless the adjustment was for clustering. For binary outcomes we calculated the risk ratio (RR) and for continuous outcomes the standardised mean difference (SMD) for outcomes measured using different scales. We used change scores where absolute values were not reported. For trials that were cluster randomised but did not take account for the effect of clustering, we performed adjustments for clustering around units of randomisation using an intraclass correlation coefficient of 0.01.22
Where trials were considered sufficiently homogeneous, random effects meta-analysis was performed using RevMan software. Data were pooled using the generic inverse variance method which enables pooling of the adjusted and unadjusted treatment effect estimates. Cumulative meta-analysis was used to explore the effect of the intervention on the rate and risk of falls over time. Statistical heterogeneity of treatment effects between trials was assessed using the χ2 test with a significance level at p<0.1, and the I² statistic, as per the Cochrane handbook guidance.23 We explored potential sources of heterogeneity and variations in the treatment effect by carrying out the following prespecified subgroup analyses, testing for subgroup differences:
Trials that included people at high risk of falls versus those at lower risk of falls (eg, comparing trials with participants who present for medical attention because of a fall, or report recurrent falls in the past year, or demonstrate abnormalities of gait and/or balance, vs unselected).
Trials where the assessment and range of interventions included at least two of the components recommended by NICE (ie, strength and balance training, home hazard assessment and intervention, vision assessment and referral, medication review with modification/withdrawal)2 versus those which did not include these components or where details of the components were unclear.
Trials that directly provided treatment to address identified risk factors versus those where the intervention consisted mainly of referral to other services or the provision of information to increase knowledge (eg, increase the person’s awareness about their risk factors to enable them to take decisions).
Trials where the comparator was usual care versus usual care plus advice (as defined above).
Sensitivity analyses were also conducted to assess the effects of the intervention on falls excluding trials with: inadequate concealment of allocation; inadequate blinding of outcome assessors; incomplete outcome data; and cluster versus individual randomised trials. Where there were ≥10 studies included in the meta-analysis, we assessed possible small study effects (p<0.1) by generating a funnel plot and testing this statistically using a linear regression test (Egger’s test).
Where sufficient trials were identified, meta-regression was undertaken using STATA (metareg command) to explore the impact of the following trial-level characteristics and whether they were associated with greater fall prevention effects:
Trial design: sample size: <20% missing outcome data; type of comparator intervention.
Participant characteristics: average age ≥75 years; control rate of falls; selected at high risk of falls.
Intervention components: included NICE-recommended components; actively provided treatment to address fall-related risk factors; whether adherence was assessed.
Results
Description of included studies
Electronic searches identified 7868 records, after removal of duplicates we screened the titles and abstracts of 4185 records. Full-text articles were assessed for 451 records and resulted in 109 eligible reports of 41 randomised controlled trials and 19 reports of nine registered trials that are not yet published. Figure 1 shows the details of the study selection process and reasons for exclusion. The characteristics of the 41 included trials are summarised in online supplementary appendices 3 and 4.
Study flow diagram.
The 41 trials involved a total of 19 369 participants, the median number of participants randomised in each trial was 328 (IQR 221–540); 36 were parallel group and five were cluster randomised. Most trials included two arms (37 trials) and four had three arms. The length of follow-up ranged from 12 to 48 months. Trials were conducted in 14 countries, the most common being the USA (eight trials) and the UK (seven trials). The mean age of participants ranged from 72 to 85 years; most included more women than men. Twenty-four trials included study participants judged to be at higher risk of falls at enrolment.
Of the 41 trials, 30 included at least two of the intervention components recommended by NICE2 and 21 directly provided treatment to address identified risk factors as part of the intervention. Thirty-four trials24–57 were compared with usual care and seven trials58–63 were compared with usual care plus advice. The most common components included as part of the multifactorial intervention were exercise (35/41 trials) and environment/assistive technologies (eg, home hazard assessment and modifications, referral to occupational therapist) (31/41 trials). Medication review (25/41 trials) and psychological interventions (eg, cognitive–behavioural intervention, referral to mental health services) (17/41 trials) were also common (online supplementary appendix 5). Poor reporting for some trials meant that it was not always possible to identify the key components of the intervention. Over half (28/41) of the trials reported assessing adherence to the intervention, most often by monitoring session adherence. However, the extent to which participants within the trials adhered to the individual treatment components of the intervention was unclear.
Among the nine registered trials that are not yet published (online supplementary appendix 6), six are likely to have been completed but not yet published, and three are ongoing with completion dates of mid-2019.
Assessment of risk of bias
The method of sequence generation and concealment of allocation was often unclear (14 and 26 trials, respectively). Blinding of outcome assessment for (1) rate of falls and risk of falling, (2) risk of fractures and (3) requiring hospital admission or medical attention was judged at high risk of bias for 9, 2 and 10 trials, respectively. Fifteen trials reported more than 20% loss to follow-up. In nine trials there was potential for high risk of bias due to the method of ascertaining falls which was by longer term participant recall, at intervals during the study or at its conclusion. Details of the risk of bias assessment for each trial are summarised in figure 2 (online supplementary appendix 2).
Risk of bias assessment.
Rate of falls
Twenty trials29 31 33–36 38–40 42 44 45 47 51 55 57–60 62 64 provided data on the rate of falls and showed that multifactorial interventions may reduce the rate of falls compared with those who received the comparator intervention (RaR 0.79, 95% CI 0.70 to 0.88; 20 trials; 10 116 participants; I2=90%; low-quality evidence) (figure 3, table 1); however, there was considerable unexplained heterogeneity. Cumulative meta-analysis shows how the effect of multifactorial intervention on reducing the rate of falls has gradually become more conservative over time, as more trials have been conducted (figure 4). The effect remained similar across all strata included in our prespecified subgroup (table 2) and sensitivity analyses (table 3) with the exception of the type of comparator intervention. Here multifactorial interventions reduced the rate of falls compared with those who received usual care only (RaR 0.75, 95% CI 0.65 to 0.86; 15 trials; 5328 participants; I2=90%) but not in the subgroup of trials which were compared with usual care plus advice (RaR 0.90, 95% CI 0.78 to 1.03; 5 trials; 4788 participants; I2=81%); this difference was statistically significant at the prespecified p<0.1 level when testing for subgroup differences (χ2=3.15; df=1; p=0.08; I2=68%).
Effect of multifactorial intervention compared with usual care or usual care plus advice
Subgroup analyses for the effect of multifactorial intervention on rate of falls and risk of sustaining one or more falls and recurrent falls
Sensitivity analyses for the effect of multifactorial intervention on rate of falls and risk of sustaining one or more falls and recurrent falls
Forest plots for the effect of multifactorial interventions for rate of falls, risk of sustaining one or more falls and risk of recurrent falls.
Risk of falls and risk of recurrent falls
There may be a small reduction in the risk of people sustaining one or more falls between those people who received multifactorial interventions and those who received the comparator intervention (RR 0.95, 95% CI 0.90 to 1.00; 30 trials; 13 817 participants; I2=56%; moderate-quality evidence) (figures 3 and 4).26–36 38 39 42–45 47 50–52 54–59 61 62 64 There may also be a small reduction in the risk of people sustaining recurrent falls (defined as two or more falls in a specified time period) (RR 0.88, 95% CI 0.78 to 1.00; 15 trials; 7277 participants; I2=46%; moderate-quality evidence) (figure 3).27 30 31 33–36 39 42 48 55 57–59 62 The pooled estimates of effect remained similar in all prespecified subgroup and sensitivity analyses (tables 2 and 3) and were not statistically significant when testing for subgroup differences.
Cumulative meta-analysis for the effect of multifactorial interventions on rate of falls and risk of sustaining one or more falls.
Other fall-related outcomes
Ten trials26 29 30 33 36 38 47 50 54 61 provided data on the number of people sustaining one or more fall-related fractures. The pooled results showed that multifactorial interventions may make little or no difference on the risk of fall-related fractures compared with the comparator intervention (RR 0.73, 95% CI 0.53 to 1.01; 10 trials; 3160 participants; I2=0%; moderate-quality evidence). They may also make little or no difference to the number of people experiencing a fall that required hospital admission (RR 1.00, 95% CI 0.92 to 1.08; 14 trials; 5077 participants; I2=0%; low-quality evidence)24 26 28 29 32 36–38 45 46 50 51 53 56 or the risk of experiencing a fall that required medical attention (eg, attended hospital emergency department, required GP consultation) (RR 0.98, 95% CI 0.84 to 1.14; 9 trials; 3669 participants; I2=1%; moderate-quality evidence)29 35 36 42 51 52 55 56 64 (table 1). It was not always possible to determine that the cause of hospital admission was always due to a fall and we therefore downgraded the level of evidence for this outcome accordingly. Data from seven trials27 33 35 37 38 46 60 showed that multifactorial interventions may also make little or no difference to people’s reported health-related quality of life (SMD 0.13, 95% CI −0.01 to 0.26; 7 trials; 2000 participants; low-quality evidence) (table 1; online supplementary appendix 7). When converted to the SF‐36 scale (0 worst to 100 best), the result indicates a mean difference of 11.84 (95% CI 0.12 to 30.8).
Multifactorial intervention compared with usual care or usual care plus advice for preventing falls in older people living in the community
Only three trials reported on adverse events that may have been related to the intervention. One trial reported back pain in two participants, which resolved after modification of the exercise programme33; one reported musculoskeletal symptoms in 10 participants, which were ‘self‐limited’ and again probably related to the exercise programme51; and one reported there had been no adverse events.57
Exploration of impact of trial characteristics on the effect of multifactorial interventions on falls
The results of the meta-regression are shown in table 5. Overall, heterogeneity remained high and was not explained by the prespecified trial-level characteristics included in the meta-regression. No significant differences were observed for specific trial-level characteristics; this included trials which included usual care only as the comparator intervention, specifically selected people at high risk of falls and those which actively provided treatment to address fall-related risk factors. We were unable to include data on the control rate of falls in the meta-regression as this information was often not reported by the included trials.
Meta-regression exploring the impact of trial-level characteristics on the effects* of the intervention on the rate of falls and risk of one or more falls and risk of recurrent falls
Exploration of small study effects
We found no evidence of potential publication bias (p<0.1) or small study effects (online supplementary appendix 8).
Discussion
Summary of main results
We identified 41 trials assessing the effects of multifactorial intervention for preventing falls in older people living in the community, with the mean age of participants ranging from 72 to 85 years. The trials included a range of multifactorial interventions, with most trials including at least two or more of the intervention components recommended by NICE.2 Exercise—in 35 of 41 trials—was the most common component of multifactorial interventions included in this review with more than half of all trials including study participants judged to be at higher risk of falls at enrolment (ie, participants had either presented for medical attention because of a fall or reported recurrent falls in the past year).
Multifactorial interventions were found to reduce the rate of falls when compared with those who received the comparator intervention; however, there was considerable unexplained heterogeneity. Multifactorial interventions are a specific type of intervention, where their definition means that the individual components of the intervention will differ (based on an individual’s risk profile), both within an individual trial and across trials. As such, a certain amount of heterogeneity would be anticipated; however, we have downgraded our confidence in the results to low, reflecting our uncertainty around the treatment effect. Cumulative meta-analysis65 shows how the effect of multifactorial interventions on reducing the rate of falls has gradually become more conservative and stable over time, as more trials have been conducted.
Multifactorial interventions may slightly reduce the risk of people sustaining one or more falls and in the risk of recurrent falls. However, for both of these outcomes the 95% CIs around the treatment effect were quite wide and included a relative risk of 1.00; hence there is uncertainty. Multifactorial interventions may make little or no difference in the risk of other fall-related outcomes (ie, fall-related fractures, falls requiring hospital admission or medical attention, or change in health-related quality of life).
Subgroup analysis demonstrated a difference in the rate of falls in trials where the comparator was usual care but not in trials where the comparator was usual care plus non-tailored falls prevention advice. This suggests that in trials which included a structured falls prevention advice leaflet as the comparator intervention the potential effectiveness of the multifactorial interventions is reduced. The effect of multifactorial interventions on fall outcomes was not influenced by selection of participants at high versus low risk of falls, the inclusion of NICE-recommended components or active versus referral interventions. Sensitivity analyses, excluding trials at high or unclear risk of bias, also showed little or no difference to the overall results. Overall, heterogeneity remained high when assessing the rate of falls and was not explained by the prespecified trial-level characteristics included in the meta-regression.
Previous research has shown that exercises, in particular balance and functional exercises, are an effective and well-established intervention for reducing the rate of falls and fall-related outcomes in older people living in the community.66 Our review brings into question the additional benefit and cost associated with the added complexity of a multifactorial intervention programme. Future research is needed to establish a better picture of the added benefit of including other interventions, alongside exercise, as part of a multifactorial intervention in reducing the rate of falls and fall-related injuries.
Comparison with other reviews
This review builds on the findings from previous systematic reviews with a number of notable differences. The recent Cochrane review12 of multifactorial interventions to prevent falls in community-dwelling older people only included trials where the comparator was usual care, whereas our review also included trials where the comparator was usual care plus non-tailored falls prevention advice. We also restricted the inclusion criteria to trials that provided long-term (ie, 12 months’ follow-up or longer) follow-up data, to enable a more focused analysis of the sustained effects of interventions. We included meta-regression to investigate between trial variability and the association of intervention and sample characteristics on trial effects.
Several other recent systematic reviews of fall prevention interventions also included meta-analyses of multifactorial interventions. Guirguis-Blake and colleagues conducted a systematic review of fall prevention interventions to inform the US Preventive Services Task Force.16 They found that multifactorial interventions were associated with a reduction in the rate of falls (Incidence Rate Ratio 0.79; 95% CI 0.68 to 0.91) but not in other fall-related mobility and mortality outcomes.16 A Cochrane review of interventions for preventing falls in older people in care facilities and hospitals67 also found evidence that multifactorial interventions may reduce the rate of falls (Rate Ratio 0.80; 95% CI 0.64 to 1.01; 5 trials; 44 664 participants) in older people in hospitals but not in the risk of falling. However, there was no difference in the rate of falls and risk of falling between multifactorial interventions and control in older people living in care facilities. Similarly, Tricco and colleagues assessed the effectiveness of interventions for preventing injurious falls and fall-related hospitalisations among both community-dwelling and institutionalised older adults.15 They found that multifactorial interventions were associated with a reduction in injurious falls (OR 0.30; 95% CI 0.13 to 0.70) but not fall-related hospitalisation.15
Strengths and limitations of this review
The strengths of this review include the comprehensive search, explicit eligibility criteria, duplicate assessment of eligibility, risk of bias assessment, consideration of possible subgroup effects and rigorous use of the GRADE approach to rate the overall quality of evidence. The interventions assessed in this review are reflective of what patients would receive in clinical practice in the UK,2 including the use of usual care plus non-tailored falls prevention advice. The inclusion of meta-regression in addition to meta-analysis allowed us to examine the effect of prespecific trial-level factors on outcomes.
The limitations of our review relate largely to the underlying evidence. Trials were heterogeneous (I²=90% for rate of falls), meaning results need to be interpreted cautiously. While multifactorial interventions are by their nature heterogeneous, the influence of differences between the included trials must be considered. Several of the subgroups analysed included a small number of studies, limiting the power of these analyses. Egger’s tests showed no clear evidence of small study effects; however, we cannot exclude the possibility that trials did not report outcomes for which no positive effect was found. Only 3 of the 41 included trials reported on adverse events. More complete data on adverse outcomes related to multifactorial interventions would improve our ability to judge the overall benefit of these interventions. Our risk of bias assessment identified that improvements are needed in reporting of trials, and measurement of outcomes remains an area of concern. These deficiencies in reporting preclude clinicians and researchers from reliably replicating or implementing interventions.
Conclusion and recommendations
Despite current guideline recommendations promoting the use of multifactorial interventions for preventing falls in older people living in the community, the results of our systematic review show that while multifactorial interventions may reduce the rate of falls and slightly reduce risk of people sustaining one or more falls and recurrent falls, they may make little or no difference to other fall-related outcomes (such as fall-related fractures, falls requiring hospital admission or medical attention, health-related quality of life). There is some evidence to suggest that the effect of multifactorial interventions in reducing the rate of falls may be smaller when compared with usual care plus non-tailored falls prevention advice (in either written, audio or visual format) as opposed to usual care only (ie, no change in usual activities).
What is already known
Falls and fall-related injuries are a common and serious problem in older people living in the community. Multifactorial interventions (which target two or more risk factors for falls) are the National Institute for Health and Care Excellence-recommended approach for falls prevention in the UK and recommended as a primary treatment strategy in guidelines for prevention of falls.
Findings from a previous Cochrane review provided some evidence of the effects of multifactorial interventions in reducing the rate of falls in older people living in the community compared with usual care.
What are the new findings
Multifactorial interventions may prevent falls in older people living in the community and may slightly reduce the risk of people sustaining one or more falls and recurrent falls (defined as two or more falls within a specified time period). There may be little or no long-term benefit on other fall-related outcomes (eg, such as fracture).
The most common component included as part of the multifactorial interventions was exercise.
The effect on rate of falls may be smaller when compared with usual care plus non-tailored falls prevention advice (ie, in either written, audio or visual format) as opposed to usual care only (ie, no change to usual activities).
References
Footnotes
Contributors SH was involved in screening, data extraction and data analysis, led the writing of the review and acts as the guarantor of the review. BC, PN, GB and BA were involved in screening, data extraction and data analysis, and contributed to writing of the review. SL conceived the study idea, gained funding, interpreted the data analysis and contributed to writing of the review.
Funding This research is supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care Oxford at Oxford Health NHS Foundation Trust, and the NIHR Oxford Musculoskeletal Biomedical Research Unit.
Disclaimer The views expressed in this publication are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Competing interests None declared.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.