Question

In: Nursing

Scenario: Your hospital wants to decrease the rate of falls in patient older than 65 years...

Scenario: Your hospital wants to decrease the rate of falls in patient older than 65 years of age. You have been asked to explore the current research and make a recommendation for a research project that will improve patient outcomes. Describe and discuss how you would and what study design you would suggest. Be specific and provide the rationale for your recommendations.

For the study described above.

Describe and discuss the sampling method you would use and the strategies you would use to minimize measurement error. What measurement tool would you use? Be specific, describe the sampling method and measurement tool and discuss why you would use it.

Solutions

Expert Solution

RESEARCH referred :

Review-

JAMA 2018 Apr 24;319(16):1705-1716. doi: 10.1001/jama.2017.21962

Interventions to Prevent Falls in Older Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

by Janelle M Guirguis-Blake et al. (April 2018)

Abstract

Importance: Falls are the most common cause of injury-related morbidity and mortality among older adults.

Objective: To systematically review literature on the effectiveness and harms of fall prevention interventions in community-dwelling older adults to inform the US Preventive Services Task Force.

Data sources: MEDLINE, PubMed, Cumulative Index for Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials for relevant English-language literature published through August 2016, with ongoing surveillance through February 7, 2018.

Study selection: Randomized clinical trials of interventions to prevent falls in community-dwelling adults 65 years and older.

Data extraction and synthesis: Independent critical appraisal and data abstraction by 2 reviewers. Random-effects meta-analyses using the method of DerSimonian and Laird.

Main outcomes and measures: Number of falls (number of unexpected events in which a person comes to rest on the ground, floor, or lower level), people experiencing 1 or more falls, injurious falls, people experiencing injurious falls, fractures, people experiencing fractures, mortality, hospitalizations, institutionalizations, changes in disability, and treatment harms.

Results: Sixty-two randomized clinical trials (N = 35 058) examining 7 fall prevention intervention types were identified. This article focused on the 3 most commonly studied intervention types: multifactorial (customized interventions based on initial comprehensive individualized falls risk assessment) (26 trials [n = 15 506]), exercise (21 trials [n = 7297]), and vitamin D supplementation (7 trials [n = 7531]). Multifactorial intervention trials were associated with a reduction in falls (incidence rate ratio [IRR], 0.79 [95% CI, 0.68-0.91]) but were not associated with a reduction in other fall-related morbidity and mortality outcomes. Exercise trials were associated with statistically significant reductions in people experiencing a fall (relative risk, 0.89 [95% 13 CI, 0.81-0.97]) and injurious falls (IRR, 0.81 [95% CI, 0.73-0.90]) and with a statistically nonsignificant reduction in falls (IRR, 0.87 [95% CI, 0.75-1.00]) but showed no association with mortality. Few exercise trials reported fall-related fractures. Seven heterogeneous trials of vitamin D formulations (with or without calcium) showed mixed results. One trial of annual high-dose cholecalciferol (500 000 IU), which has not been replicated, showed an increase in falls, people experiencing a fall, and injuries, while 1 trial of calcitriol showed a reduction in falls and people experiencing a fall; the remaining 5 trials showed no significant difference in falls, people experiencing a fall, or injuries. Harms of multifactorial and exercise trials were rarely reported but generally included minor musculoskeletal injuries.

Conclusions and relevance: Multifactorial and exercise interventions were associated with fall-related benefit, but evidence was most consistent across multiple fall-related outcomes for exercise. Vitamin D supplementation interventions had mixed results, with a high dose being associated with higher rates of fall-related outcomes.

Introduction

Falls are the leading cause of injury-related morbidity and mortality among older adults in the United States.1 In 2014, 28.7% of community-dwelling adults 65 years and older reported falling, resulting in 29 million falls (37.5% of which necessitated medical treatment or restricted activity for a day or longer),2 and there were an estimated 33 000 fall-related deaths in 2015.1

Given this large burden of morbidity and the complexity of falls in older adults, it is important to determine which fall prevention interventions targeting modifiable fall risk factors (eg, balance and gait abnormalities, environmental factors, medication adverse effects) are effective. Fall prevention interventions relevant for primary care populations can include exercise, medication review, dietary supplements (eg, vitamin D), environment modifications, and behavioral therapy. These interventions can be delivered alone or in combination with or without intervention customization based on an initial comprehensive patient assessment (ie, multifactorial or multiple interventions).

In 2012, the US Preventive Services Task Force (USPSTF) recommended 2 types of interventions—exercise and vitamin D supplementation—to prevent falls in older adults at increased risk for falls (B recommendation). Depending on individual patient preferences and circumstances, multifactorial interventions were selectively recommended (C recommendation).3 The USPSTF commissioned this systematic review to inform their updated recommendation for fall prevention in older adults. The aim was to determine which fall prevention interventions reduce falls, falls-related morbidity, and all-cause mortality and any associated adverse effects of these interventions.

Methods

Scope of Review

An analytic framework was developed with 2 key questions (KQs) (Figure 1) that examined the effect of fall-prevention interventions on health outcomes (KQ1) and the harms of these interventions (KQ2). A draft of the analytic framework, review questions, and inclusion and exclusion criteria was posted on the USPSTF website from August 6, 2015, to September 2, 2015, to gather public input. Minor changes were made to the inclusion and exclusion criteria to clarify the included populations, interventions, and settings. No major changes were made to the scope of the review or the approach to synthesizing the evidence. Detailed methods and results are reported in the full evidence review at https://www.uspreventiveservicestaskforce.org/Page/Document/UpdateSummaryFinal/falls-prevention-in-older-adults-interventions1. Findings for other interventions (medication management, environment modification, psychological interventions, and multiple interventions) are available in the full report.

Data Sources and Searches

MEDLINE, PubMed (publisher-supplied references only), Cumulative Index for Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials were searched from January 1, 2010, to August 30, 2016, and supplemented by checking reference lists from the prior 2010 review for the USPSTF4 and another relevant systematic review5 (eMethods in the Supplement). ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform were searched for ongoing trials. Since August 30, 2016, ongoing surveillance through article alerts and targeted searches of journals with a high impact factor and journals relevant to the topic was conducted to identify major studies published in the interim that may affect the conclusions or understanding of the evidence and therefore the related USPSTF recommendation. The last surveillance was conducted on February 7, 2018.

After the surveillance scan and checking the reference list from a network meta-analysis,6 2 relevant studies were identified that met the inclusion criteria but did not change the conclusions: 1 multifactorial intervention7 and 1 environment modification intervention trial.8

Study Selection

Two reviewers independently reviewed 3441 unique citations and 418 full-text articles against a priori inclusion criteria (Figure 2; eTable 1 in the Supplement). Randomized clinical trials (RCTs) and cluster RCTs of community-dwelling older adults (≥65 years), including those at average or high risk for falls (high risk as defined by the study authors) were included if they had a primary or secondary aim of preventing falls or a related aim (eg, fear of falling). Fall prevention interventions that are feasible in the primary care setting or referable from primary care were included.

The intervention types were based on taxonomy developed by researchers from the Prevention of Falls Network Europe (ProFaNE) group.9 Many intervention types were included: exercise, vitamin D supplementation, environment modifications, psychological interventions, medication management, and knowledge and education. These intervention types could be delivered alone (ie, single), in combination (ie, multiple), or as a customized combination of interventions determined from the results of an individual baseline assessment (ie, multifactorial). Falls (number of unexpected events in which a person comes to rest on the ground, floor, or lower level) or fallers (number of people experiencing 1 or more falls) were the most commonly reported fall-related outcomes in the trials. Trials measuring self-reported falls, with a recall of 6 months or less as a primary or secondary outcome, were included.

Trials solely recruiting participants with specific medical diagnoses (eg, neurologic diagnoses such as dementia, Parkinson disease, or stroke) were excluded because those populations may require specialized approaches to preventing falls. Trials solely recruiting participants with vitamin D insufficiency or deficiency, as determined by the study authors, were excluded. A sensitivity analysis was performed combining the included vitamin D trials and the trials excluded for their vitamin D deficiency or insufficiency criteria. Certain intervention types (surgery, fluid or nutrition therapy, management of urinary incontinence, optical aids, hearing aids, body-worn protective aids) were excluded unless they were one possible component of multifactorial interventions. All harms were restricted to those identified in studies included for intervention effectiveness, with the exception of medications and supplements. For the harms of vitamin D, systematic reviews were additionally included.

The full evidence review reports on any included intervention types for which published studies were found, but this article focuses on 3 intervention types: multifactorial, exercise, and vitamin D supplementation. The remaining 4 intervention types (environment, psychological, medication management, multiple) had limited data, and results for those intervention types are available in the full evidence report.

Data Extraction and Quality Assessment

Included trials were critically appraised by 2 independent reviewers using predefined criteria,10 with disagreements resolved by a third reviewer (eTable 2 in the Supplement). One reviewer abstracted descriptive and outcome data from each included study into standardized evidence tables; a second checked for accuracy and completeness.

Data Synthesis and Analysis

Data were qualitatively and quantitatively synthesized. A random-effects meta-analysis using the method of DerSimonian and Laird11 was used to calculate the pooled relative risks (RRs) when there was a sufficient number of contributing studies reporting an outcome for a given intervention type and outcome. Within each study, the longest follow-up available was used for pooled analyses and figures. For intervention types and outcomes that did not allow for quantitative pooling because of the limited number of contributing studies, those data are summarized narratively and qualitative synthesis was performed. In studies with several groups, the most intensive intervention and 1 control group for each intervention type were abstracted and included in the analysis.

There were 12 KQ1 outcomes for which data were abstracted. This manuscript focuses on the most widely reported outcomes: falls, injurious falls, fractures, people experiencing a fall, people experiencing an injurious fall, people experiencing a fracture, and mortality. The remaining outcomes (people transitioning to institutionalized care, people hospitalized, quality of life, activities of daily living, and instrumental activities of daily living) are available in the full evidence report. For a composite injurious fall outcome, any minor or severe injuries resulting from a fall, falls resulting in medical care, or any fall-related outcome the author categorized as injurious was accepted. The meta-analysis of injurious falls included both the number of fall-related injuries and the number of falls resulting in injury as reported in the trials. For fracture outcomes, fall-related fractures was used preferentially in the meta-analysis, but if that outcome was not available, data on hip fractures and overall fractures were used, even if the study may not have reported if the fracture was associated with a fall.

In cases in which a cluster RCT was used but the authors did not account for the nested nature of the data, adjustment was made for the clustering effect by applying a design effect, which was based on an estimated mean cluster size (the total number of randomized participants divided by the total number of clusters) and multiplied by an estimated intraclass correlation.12

Statistical heterogeneity was examined among the pooled studies using standard χ2 tests, and the proportion of total variability in point estimates was estimated using the I2 statistic.13

After results were pooled, investigation of heterogeneity between trials for falls and people experiencing a fall was performed by examining variability by any prespecified population or intervention characteristics of the studies. First, visual displays and tables were grouped or sorted by these potentially important characteristics. Specifically, variables included recruitment setting (emergency department, clinic, or a combination), mean age, percentage female, risk of falls (high or average risk, as defined by the authors), fall rate of the control group or the percent falling, country (United States vs others), and study quality (fair vs good) as they related to the effect estimates. Because age and other individual and environmental factors determine risk of fall, control group fall rates were calculated as an indicator of fall risk status in addition to individual trials’ definitions of “high risk.” For exercise interventions, additional variables included duration and intensity, presence of exercise components (eg, balance, flexibility, strength), number of components, supervision, and format (group, individual, or both). Based on visual examination of forest plots, meta-regression was used to test for potentially significant sorting variables or groups, namely the recruitment setting for the falls outcome for multifactorial interventions.

Stata version 13.1 (Stata Corp LP) was used for all quantitative analyses. All significance testing was 2-sided. Results were considered statistically significant if the P < .05.

Results

Benefits of Interventions

Key Question 1. Is there direct evidence that primary care interventions to prevent falls in community-dwelling older adults at average or high risk for falls, used alone or in combination, reduce falls or falls-related injury, improve quality of life, reduce disability, or reduce mortality?

Key Question 1a. How is high risk assessed in the included trials?

Sixty-two trials (published in 88 articles) (N = 35 058) met the inclusion criteria for this systematic review (Figure 2). This article focuses on the 3 most common intervention types, with 26 trials of multifactorial,14-39 21 of exercise,40-60 and 7 of vitamin D supplementation interventions.48,61-66 Thirteen trials were included for other intervention types; these are not discussed further here and are available in the full evidence report.

Multifactorial Interventions

Study and Population Characteristics

Seven good-quality21,23,25,27,30,32,35 and 19 fair-quality RCTs14-20,22,24,26,28,29,31,33,34,36-39 (n = 15 506) with a primary or secondary aim of examining the effectiveness of multifactorial interventions on falls, fall-related injuries, or both at 6 to 36 months of follow-up were identified (eTable 3 in the Supplement). The majority of the trials were conducted in Europe, with trial size ranging from 100 to 5 310 participants. The mean age ranged from 72 to 85 years, and the percentage of women ranged from 53% to 94%.

High-Risk Definition

The most common risk factor used for recruitment was history of falls. Seven trials recruited patients at average risk of falling, in which the only risk factor for falls was age.21,22,28,29,33,34,38 Of the 26 studies, 12 defined high risk as having a history of falling based on either historical recall of 1 or more falls in the previous 3 months17 or 12 months,19,23,24 or seeking medical attention in an emergency department, hospital, ambulance, or clinic after a fall.15,16,18,20,27,31,35,39 The remainder of the trials recruited participants who fulfilled 1 or more risk factor criteria from a list of possible risk factors (eTable 3 in the Supplement).

Intervention Details

The intervention groups received an initial comprehensive geriatric assessment or a falls risk factor assessment, followed by customized treatment interventions and referrals managed by the research team. This initial comprehensive geriatric assessment included any number of the following components: balance, gait, vision, cardiovascular health (eg, postural blood pressure or pulse, carotid sinus stimulation), medication, environment (eg, home hazards or personal needs), cognition, and psychological health. Nursing professionals nearly always performed the initial assessment, with or without additional professionals (eg, physical therapists, exercise instructors, occupational therapists, medical doctors, dieticians, or nutritionists).

The treatment interventions varied substantially across the studies but generally included multiple targeted intervention components, such as exercise (unsupervised or supervised, group or individual); psychological (cognitive behavioral therapy); nutrition therapy; knowledge (eg, via DVDs, lectures, pamphlets); medication management; urinary incontinence management; environment modifications (eg, assistive technology or dwelling recommendations); and referral to physical or occupational therapy, social or community services, and specialists (eg, ophthalmologist, neurologist, cardiologist).

In most (22/26) of the trials, treatment interventions were implemented through a combination of direct treatment administered by the research team as well as specialty referrals generated by the research team. In more than half (14/26) of the trials, the research team also communicated with primary care physicians, generally to communicate specific or comprehensive risk-assessment results.14,15,17-19,23-25,28,31,33,35,37,38

Total contact time was rarely reported. Most trials reported that they directly offered or referred participants to a supervised single or serial session exercise intervention. This offer was often targeted to participants with balance or gait issues identified in the risk assessment.

Control groups in the trials received usual care or usual care plus minimal control (pamphlet, social visit, brief falls risk advice, letter).17,19,23,25,37-39

Intervention Effects on Morbidity and Mortality

Multifactorial interventions were associated with a reduced incidence in the rate of falls, with substantial heterogeneity (17 trials [n = 9737]; incidence rate ratio [IRR], 0.79 [95% CI, 0.68-0.91]; P = .001; I2 = 87.2%; median decrease of 1.5 events per person-year between intervention group and control group) (eFigure 1 in the Supplement). Control group rate of falls per person-year ranged from 0.38 to 7.7 events per person-year at the longest follow-up, indicating a wide variation in baseline fall risk among the included trials. Individual trials reported substantial variation in effect size, with wide and overlapping CIs and with IRR point estimates ranging from 0.42 to 1.12. Pooled analyses showed no statistically significant association between multifactorial interventions and people experiencing a fall (24 trials [n = 12 490]; RR, 0.95 [95% CI, 0.89-1.01]; P = .09; I2 = 56.4%) (eFigure 2 in the Supplement), people experiencing an injurious fall (16 trials [n = 9445]; RR, 0.94 [95% CI, 0.85-1.03]; P = .18; I2 = 34.3%) (eFigure 3 in the Supplement), or mortality (23 trials [n = 9721]; RR, 0.96 [95% CI, 0.79-1.17]; P = .66; I2 = 0.0%) (eFigure 4 in the Supplement). The heterogeneity was not explained by any single variable except recruitment setting (eFigure 5 in the Supplement).

In meta-regression, both clinical and multiple recruitment settings were statistically different than that of the emergency department (P = .03 and P = .02, respectively), suggesting that studies recruiting from emergency settings were associated with a higher reduction in falls. Caution should be used in interpreting this post hoc subanalysis because heterogeneity was high and formal a priori subgroup credibility ratings were not performed.10

For other outcomes including injurious falls, fracture, persons with a fracture, disability, quality of life, people hospitalized, and people who transitioned to institutional care, the few identified studies were underpowered and revealed no consistent effect of the multifactorial intervention (details available in the full evidence report).

Exercise Interventions

Study and Population Characteristics

Five good-quality47,48,54,55,60 and 16 fair-quality40-46,49-53,56-59 RCTs (n = 7297) with a primary or secondary aim of examining the effectiveness of exercise on reducing falls, fall-related injuries, or both at 6 to 60 months of follow-up were identified. The majority of trials were conducted in Europe, with number of trial participants ranging from 55 to 1635. The mean age ranged from 68 to 88 years, and in all but 1 trial the majority or all participants were women.

High-Risk Definition

Twelve trials recruited participants at high risk for falls,42-44,46,48,50,52,53,55,56,58,60 using a variety of risk factor criteria (eTable 3 in the Supplement). The most common risk factor used for recruitment, alone or in combination with other risk factors, was limitation of physical function or mobility (self-reported or objectively measured).

Intervention Details

Mean duration of the exercise interventions was approximately 12 months, and the most common frequency was 3 exercise sessions per week. The exercise interventions varied by the type and number of exercise components included and whether the exercise was conducted primarily alone or as a group. The most common type of exercise component was gait, balance, and functional training (classified using the ProFaNE taxonomy9); 17 of the 21 trials used this component alone46,50,52,56,57 or in combination with another type of exercise.41,42,44,45,48,49,53-55,58-60 Seven of the trials included group exercise,40,46,47,49,54-56 9 evaluated group exercises in addition to home-based individual exercises,42-44,48,50,53,57,58,60 and 5 evaluated individually based exercise only.41,45,51,52,59 Most of the control groups in the trials were instructed to maintain usual activity levels or usual activity plus minimal control (pamphlet, social visit, brief falls risk advice).

Intervention Effects on Morbidity and Mortality

These 21 exercise trials (n = 7297) with varying baseline fall risk (ranging from 0.04 to 1.6 falls per person-year in control groups) showed reductions in falls outcomes. In pooled analyses, exercise interventions were associated with a reduced risk of falling (15 trials [n = 4926]; RR, 0.89 [95% CI, 0.81-0.97]; P = .01; I2 = 43.9%), with a median absolute decrease in participants falling of 3.8 percentage points (eFigure 6 in the Supplement) and a reduced rate of injurious falls (10 trials [n = 4622]; IRR, 0.81 [95% CI, 0.73-0.90]; I2 = 0.0%), with a median decrease of 0.35 falls per person-year (eFigure 7 in the Supplement). There was no statistically significant association between exercise interventions and a reduced rate of incident falls (14 trials [n = 4663]; IRR, 0.87 [95% CI, 0.75-1.00]; P = .05; I2 = 57.3%) (eFigure 8 in the Supplement). The high heterogeneity did not appear to be associated with any of the prespecified population or intervention characteristics of the studies.

Fall-related fractures and injurious falls were not widely reported in the included trials, and while trials that did report those outcomes showed a reduction in rates, those reductions were not consistently statistically significant. Three trials (n = 2047) that evaluated fractures showed a reduced rate of fall-related fractures, with IRR estimates ranging from 0.26 to 0.92, and 5 trials (n = 2776) that evaluated risk of injurious falls showed a reduced risk, with IRR estimates ranging from 0.61 to 0.90. Pooled analyses showed no statistically significant association between exercise interventions and mortality (11 trials [n = 4263]; RR, 0.93 [95% CI, 0.71-1.22]; P = .60; I2 = 0.0%) (eFigure 9 in the Supplement).

For other outcomes, the few identified studies were underpowered and revealed no consistent effect of exercise interventions (details available in the full evidence report).

Vitamin D Interventions

Study and Population Characteristics

Four good-quality48,64-66 and 3 fair-quality61-63 RCTs (n = 7531) with a primary or secondary aim of examining the effectiveness of vitamin D supplementation on falls, fall-related injuries, or both at 9 to 60 months of follow-up were identified. Five trials were conducted in Europe or Australia, and trial sizes ranged from 204 to 3314 participants. Mean age ranged from 71 to 77 years, and 5 of the 7 studies were conducted exclusively in postmenopausal women.

High-Risk Definition

Three trials recruited only patients at high risk (based on varying definitions) for falls.48,63,66 One study defined high risk as a history of falls in the previous 12 months,48 and the 2 remaining studies63,66 defined high risk as the presence of 1 or more risk factors, including maternal or family history of hip fracture,63,66 self-reported fall,66 previous fracture,63,66 low body weight (<58 kg),63 or self-reported health that was fair or poor.63

Baseline mean serum 25-hydroxyvitamin D levels in the study populations were reflective of mean vitamin D levels in adults 60 years and older in the United States,67 ranging from 26.4 ng/mL (65.9 nmol/L)65 to 31.8 ng/mL (79.4 nmol/L).62 While 1 Australian trial reported lower serum levels, with a median of 21 ng/mL (52.4 nmol/L) in the intervention group and 18 ng/mL (44.9 nmol/L) in the control group, these levels were reflective of normative vitamin D levels in Australia.66

Intervention Details

Vitamin D3 was administered orally in all studies with various formulations, including cholecalciferol,48,63-66 1-hydroxycholecalciferol,61 and calcitriol.62 The dosing schedules varied; the cholecalciferol trials used a dose of 700 IU daily,64 800 IU daily,48,63 150 000 IU every 3 months,65 or 500 000 IU annually.66 The other 2 trials administered 1 μg of 1-hydroxycholecalciferol daily61 and 0.25 μg of calcitriol twice daily.62 In 2 studies, the intervention group received calcium (500 mg/d64 or 1000 mg/d63) in addition to vitamin D. Vitamin D was administered for 9 months up to 5 years. The control groups received a matched placebo in 6 of the 7 trials,48,61,62,64-66 and 1 study was open-label.63

Intervention Effects on Morbidity and Mortality

These 7 heterogeneous trials (n = 7531) of different vitamin D3 formulations and dosing schedules in older adults with varying baseline fall risk (ranging from 0.37 to 1.18 falls per person-year in control groups) showed mixed results. The single trial of annual high-dose cholecalciferol (500 000 IU) showed an increase in falls, people experiencing a fall, and injurious falls66; the trial of calcitriol showed a reduction in falls and people experiencing a fall,62 and the remaining studies showed no statistically significant difference in falls, people experiencing a fall, or injurious falls.48,61,63-65 Pooled results showed no statistically significant association between vitamin D supplementation and falls (5 trials [n = 3529]; IRR, 0.97 [95% CI, 0.79-1.20]; I2 = 75.8%) (eFigure 10 in the Supplement), people experiencing a fall (6 trials [n = 6519]; RR, 0.97 [95% CI, 0.88-1.08]; I2 = 60.3%) (eFigure 11 in the Supplement), or mortality (6 trials [n = 7084]; RR, 1.08 [95% CI, 0.83-1.40]; I2 = 0.0%) (eFigure 12 in the Supplement). Sensitivity analysis removing the high-dose annual vitamin D trial showed no statistically significant association between vitamin D and falls (IRR, 0.91 [95% CI, 0.68-1.22]) (eFigure 13 in the Supplement).

An additional sensitivity analysis adding trials excluded from the review because they recruited participants with vitamin D insufficiency or deficiency did not show a statistically significant association with people experiencing a fall (RR, 0.88 [95% CI, 0.78-1.00]).

Incident fractures and quality of life were rarely reported, and no studies reported disability. Mixed results were found for the association of vitamin D and people with fractures (details available in the full evidence report).

Harms of Interventions

Key Question 2. What are the harms associated with primary care interventions to prevent falls in community-dwelling older adults?

Four of 26 multifactorial trials reported information on harms (n = 1466).18,23,25,32 Only 1 of these trials reported harms (back pain) in the control group for comparison, which showed no difference between the intervention and control groups.32 One trial reported 3 falls without injury during the exercise component of the intervention.23 In general, harms were rare, minor, and associated with the exercise component of the multifactorial intervention.

Eight of 21 exercise trials (n = 4107) reported harms in the intervention group.48,49,52,53,55,56,58,60 Two of these trials also reported harms in the control group for comparison and reported no difference in the rate of serious injuries between the intervention and control groups.53,60 In general, harms reported for these exercise interventions were minor and included pain, bruising, or fall injuries or fractures that occurred during the exercise sessions.

Five of 7 vitamin D supplementation trials (n = 3955) reported information on harms associated with vitamin D and showed no difference in the frequency of harms attributable to treatment.61,62,64-66 As noted above, 1 trial reported an increase in falls, people experiencing a fall, and fall-related injuries associated with the annual high dose (500 000 IU) of cholecalciferol. The event rates for several of the reported harms that did occur (eg, kidney stones, diabetes) indicated that these were rare. Transient hypercalcemia was reported in 2 trials61,62 and was described as mild or clinically asymptomatic; a single case of hypercalciuria was reported in the treatment group in 1 trial.64,68 Most of the adverse effects reported are unlikely to be attributable to vitamin D.

Discussion

The summary of evidence for this review is shown in the Table. These findings suggest that multifactorial and exercise interventions are associated with a reduction in fall outcomes. The evidence on the association between vitamin D supplementation and fall outcomes, however, is inconsistent. Although the evidence showed that multifactorial and exercise interventions were both associated with fewer falls, evidence for exercise is more consistent across multiple fall-related outcomes. Multifactorial interventions, which include risk-based, customized referrals and treatments, appear to reduce falls but not people experiencing a fall or injuries. This may be attributable, at least in part, to limited study power. While there are numerous multifactorial trials designed with somewhat similar strategies, the studies are clinically and statistically heterogeneous and, as such, drawing conclusions regarding elements of effective multifactorial interventions from this body of literature is difficult. Exercise interventions are associated with fewer people experiencing a fall, injurious falls, and people experiencing an injurious fall in average- and high-risk community-dwelling older adults. No specific effective exercise or multifactorial protocol has been replicated in larger population randomized clinical trials. The results on effectiveness of vitamin D supplementation were mixed and showed potential harm at very high doses.

Similar to the conclusions of this review, a recent network meta-analysis,6 which included both community-dwelling and institutionalized older adults, found that exercise alone was associated with fewer people experiencing a fall and fewer injurious falls. Other statistically significant intervention combinations associated with fewer people experiencing a fall and fewer injurious falls compared with usual care included combined exercise, clinic-level quality-improvement strategies, multifactorial assessment and treatment, calcium supplementation, and vitamin D supplementation interventions.

This review represents an update to the 2010 systematic review for the USPSTF,4,69 with a few notable differences. Unlike the previous review, the updated findings do not support an association between vitamin D supplementation and reduced falls in the general population of older adults. The exclusion in this review of studies recruiting populations with vitamin D deficiency or insufficiency resulted in a mixed picture from fewer included trials. The conclusions regarding the association of multifactorial and exercise interventions with a reduction in falls or fallers are similar between this review and the prior USPSTF review.

Other researchers have reported conflicting results on the effect of vitamin D supplementation on falls.70,71 Some systematic reviews that included trials recruiting institutionalized participants and those with vitamin D deficiency or insufficiency reported a pooled reduction in falls or fractures, but the dose and target population remain uncertain.6,72-74 Other authors have concluded from the broader literature on vitamin D (including vitamin D–deficient or –insufficient populations) that vitamin D supplementation, with or without calcium, does not reduce falls among older adults5,75 and that new studies are unlikely to change this conclusion.76

Ideally, effective interventions would not only reduce falls but also result in reductions in fractures and other fall-induced injuries. Consistent with findings from other systematic reviews,6,77 exercise interventions included in this review were associated with fewer injurious falls. For multifactorial interventions, while evidence for their effect on injuries or fracture was either too limited to make conclusions or the available evidence suggests no effect, concluding that interventions other than exercise have no effect on injuries would be premature, given that so few of the trials were designed to have adequate power for preventing injury or fracture.37,39,50,63,66 To increase the power to analyze the effect of interventions on injuries, a composite category of “injurious falls” was created in this review; however, the severity of injuries may vary widely, even among falls that lead to emergency department visits. The effect of the included interventions on injuries including fractures showed inconsistent and imprecise results. The certainty of the effects of fall prevention interventions on fracture is low because these outcomes were only reported in a minority of the included trials.

In the included studies, while the majority of trials were conducted in populations with a high risk of falls, the approaches to identifying high-risk patients varied. The most common approach used to identify a person at high risk of falls was collecting the patient’s history of falls. The remaining trials conducted with high-risk populations evaluated 2 or more risk factors (eg, history of a fall, difficulty with mobility, use of health care) and included participants with any of these risk factors.

In practice, clinicians are challenged in selecting high-risk patients for fall prevention interventions by a lack of evidence to support effective tools for assessing risk of falls. For any given tool, use of different cutpoints to indicate high risk makes it difficult to compare likelihood ratios across the available studies. Systematic reviews of the Timed Up and Go test and other clinical screening tests for the risk of falls suggest that evidence of the adequacy of these screening instruments for predicting falls is insufficient.78,79 A 2016 systematic review of tools for assessing risk of falls concluded that no single test or measure included in the review (56 measures including history questions, self-report measures, and performance-based measures) was an accurate diagnostic tool.80

Given the complex set of factors contributing to falls in older individuals, combining measures may help to accurately predict future falls; however, such combinations have not been validated in large studies. Evidence did not suggest that trials targeting populations at high risk of falls (other than recruitment from emergency settings in the multifactorial intervention studies) were more effective in reducing falls compared with trials of populations at average risk of falls.

There are several important considerations when applying these findings for multifactorial and exercise interventions to US primary care. Interventions in the multifactorial trials, including physician specialty referrals, exercise interventions, and environmental interventions, are reflective of what patients could receive individually in the current US health care delivery system, although rarely in such a comprehensive fashion. The exercise interventions included in these multifactorial trials were similar to what patients receive in the US clinical setting in their design, delivery, and components. The interventions offered in the included exercise trials are different from typical physical therapy referrals available in the US clinical setting in their design and delivery. Most of these exercise trials are similar to intensive programs available in the community setting but not the clinical setting.

Limitations

This review was limited to community-dwelling older adults and interventions that could be implemented in or referred from primary care. Trials were excluded that specifically recruited participants with neurologic diagnoses and other specific diagnoses, such as vitamin D insufficiency and osteoporosis. As such, the conclusions may not be applicable to those populations. While physical functioning outcomes (eg, changes in balance, endurance, or walking speed) and psychological outcomes (eg, falls efficacy and the fear of falling) are often associated with falls and are commonly reported in fall prevention trials, they were excluded from this review. Consistent with USPSTF methodology, the protocol prioritized objective hard health outcomes. Therefore, the intermediate outcomes were excluded in favor of falls, people experiencing a fall, and injuries due to a fall. Since this review focused on fall and fall-related morbidity and mortality, other non–fall-related outcomes that may be associated with these interventions were not examined (eg, the effect of exercise on cardiovascular outcomes, effect of vitamin D on other health outcomes).

Conclusions

Multifactorial and exercise interventions were associated with fall-related benefit, but evidence was most consistent across multiple fall-related outcomes for exercise. Vitamin D supplementation interventions had mixed results, with a high dose being associated with higher rates of fall-related outcomes.

Back to top

Article Information

Corresponding Author: Janelle M. Guirguis-Blake, MD, Kaiser Permanente Research Affiliates EPC, University of Washington, Department of Family Medicine, 521 Martin Luther King Jr Way, Tacoma, WA 98405 ([email protected]).

Accepted for Publication: December 27, 2017.

Published Online: April 17, 2018. doi:10.1001/jama.2017.21962

Author Contributions: Dr Guirguis-Blake had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Guirguis-Blake, Michael, Perdue, Coppola.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Guirguis-Blake, Michael.

Critical revision of the manuscript for important intellectual content: Guirguis-Blake, Michael, Perdue, Coppola, Beil.

Statistical analysis: Perdue.

Obtained funding: Beil.

Administrative, technical, or material support: Perdue, Coppola, Beil.

Supervision: Guirguis-Blake.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.

Funding/Support: This research was funded under contract HHSA-290-2012-00015-I-EPC4, Task Order 6, from the Agency for Healthcare Research and Quality (AHRQ), US Department of Health and Human Services, under a contract to support the USPSTF.

Role of the Funder/Sponsor: Investigators worked with USPSTF members and AHRQ staff to develop the scope, analytic framework, and key questions for this review. AHRQ had no role in study selection, quality assessment, or synthesis. AHRQ staff provided project oversight, reviewed the report to ensure that the analysis met methodological standards, and distributed the draft for peer review. Otherwise, AHRQ had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript findings. The opinions expressed in this document are those of the authors and do not reflect the official position of AHRQ or the US Department of Health and Human Services.

Additional Contributions: We gratefully acknowledge the following individuals for their contributions to this project: Smyth Lai, MLS, and Katherine Essick, BS (Kaiser Permanente Center for Health Research); Tracy Wolff, MD, MPH (Agency for Healthcare Research and Quality); and current and former members of the US Preventive Services Task Force who contributed to topic deliberations. USPSTF members, peer reviewers, and federal partner reviewers did not receive financial compensation for their contributions.

Additional Information: A draft version of this evidence report underwent external peer review from 6 content experts (Elizabeth Eckstrom, MD, MPH, School of Medicine, Oregon Health and Science University; J. Christopher Gallagher, MD, Division of Endocrinology, Creighton University School of Medicine; David Ganz, MD, PhD, VA Greater Los Angeles Healthcare System, Geriatric Research Education and Clinical Center, and David Geffen School of Medicine at UCLA; Thomas Gill, MD, Adler Geriatric Center, Yale School of Medicine; Elizabeth Phelan, MD, MS, Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington; and David Reuben, MD, David Geffen School of Medicine, UCLA) and 2 federal partners: the Centers for Disease Control and Prevention and the National Institutes of Health. Comments from reviewers were presented to the USPSTF during its deliberation of the evidence and were considered in preparing the final evidence review.

Editorial Disclaimer: This evidence report is presented as a document in support of the accompanying USPSTF Recommendation Statement. It did not undergo additional peer review after submission to JAMA.

References

1.

Web-based Injury Statistics Query and Reporting System (WISQARS) website. https://www.cdc.gov/injury/wisqars/. 2016. Accessed November 8, 2017.

2.

Bergen G, Stevens MR, Burns ER. Falls and fall injuries among adults aged ≥65 years—United States, 2014. MMWR Morb Mortal Wkly Rep. 2016;65(37):993-998.PubMedGoogle ScholarCrossref

3.

Moyer VA; U.S. Preventive Services Task Force. Prevention of falls in community-dwelling older adults: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157(3):197-204.PubMedGoogle ScholarCrossref

4.

Michael YL, Lin JS, Whitlock EP, et al. Interventions to Prevent Falls in Older Adults: An Updated Systematic Review. Rockville, MD: Agency for Healthcare Research and Quality; 2010.

5.

Gillespie LD, Robertson MC, Gillespie WJ, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012;9(9):CD007146.PubMedGoogle Scholar

6.

Tricco AC, Thomas SM, Veroniki AA, et al. Comparisons of interventions for preventing falls in older adults: a systematic review and meta-analysis. JAMA. 2017;318(17):1687-1699.
ArticlePubMedGoogle ScholarCrossref

7.

Matchar DB, Duncan PW, Lien CT, et al. Randomized controlled trial of screening, risk modification, and physical therapy to prevent falls among the elderly recently discharged from the emergency department to the community: the Steps to Avoid Falls in the Elderly study. Arch Phys Med Rehabil. 2017;98(6):1086-1096.PubMedGoogle ScholarCrossref

8.

Chu MM, Fong KN, Lit AC, et al. An occupational therapy fall reduction home visit program for community-dwelling older adults in Hong Kong after an emergency department visit for a fall. J Am Geriatr Soc. 2017;65(2):364-372.PubMedGoogle ScholarCrossref

9.

Lamb SE, Becker C, Gillespie LD, et al; Taxonomy Investigators. Reporting of complex interventions in clinical trials: development of a taxonomy to classify and describe fall-prevention interventions. Trials. 2011;12:125.PubMedGoogle ScholarCrossref

10.

U.S. Preventive Services Task Force Procedure Manual. https://www.uspreventiveservicestaskforce.org/Home/GetFile/6/7/procedure-manual_2015/pdf. 2015. Accessed January 23, 2018.

11.

DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. 2007;28(2):105-114.PubMedGoogle ScholarCrossref

12.

Donner A, Piaggio G, Villar J. Meta-analyses of cluster randomization trials: power considerations. Eval Health Prof. 2003;26(3):340-351.PubMedGoogle ScholarCrossref

13.

Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-1558.PubMedGoogle ScholarCrossref

14.

Ciaschini PM, Straus SE, Dolovich LR, et al. Community-based intervention to optimise falls risk management: a randomised controlled trial. Age Ageing. 2009;38(6):724-730.PubMedGoogle ScholarCrossref

15.

Close J, Ellis M, Hooper R, Glucksman E, Jackson S, Swift C. Prevention of falls in the elderly trial (PROFET): a randomised controlled trial. Lancet. 1999;353(9147):93-97.PubMedGoogle ScholarCrossref

16.

Davison J, Bond J, Dawson P, Steen IN, Kenny RA. Patients with recurrent falls attending Accident & Emergency benefit from multifactorial intervention—a randomised controlled trial. Age Ageing. 2005;34(2):162-168.PubMedGoogle ScholarCrossref

17.

Elley CR, Robertson MC, Garrett S, et al. Effectiveness of a falls-and-fracture nurse coordinator to reduce falls: a randomized, controlled trial of at-risk older adults. J Am Geriatr Soc. 2008;56(8):1383-1389.PubMedGoogle ScholarCrossref

18.

Hendriks MR, Bleijlevens MH, van Haastregt JC, et al. Lack of effectiveness of a multidisciplinary fall-prevention program in elderly people at risk: a randomized, controlled trial. J Am Geriatr Soc. 2008;56(8):1390-1397.PubMedGoogle ScholarCrossref

19.

Hogan DB, MacDonald FA, Betts J, et al. A randomized controlled trial of a community-based consultation service to prevent falls. CMAJ. 2001;165(5):537-543.PubMedGoogle Scholar

20.

Lightbody E, Watkins C, Leathley M, Sharma A, Lye M. Evaluation of a nurse-led falls prevention programme versus usual care: a randomized controlled trial. Age Ageing. 2002;31(3):203-210.PubMedGoogle ScholarCrossref

21.

Lord SR, Tiedemann A, Chapman K, et al. The effect of an individualized fall prevention program on fall risk and falls in older people: a randomized, controlled trial. J Am Geriatr Soc. 2005;53(8):1296-1304.PubMedGoogle ScholarCrossref

22.

Newbury JW, Marley JE, Beilby JJ. A randomised controlled trial of the outcome of health assessment of people aged 75 years and over. Med J Aust. 2001;175(2):104-107.PubMedGoogle Scholar

23.

Salminen MJ, Vahlberg TJ, Salonoja MT, Aarnio PT, Kivelä SL. Effect of a risk-based multifactorial fall prevention program on the incidence of falls. J Am Geriatr Soc. 2009;57(4):612-619.PubMedGoogle ScholarCrossref

24.

Spice CL, Morotti W, George S, et al. The Winchester falls project: a randomised controlled trial of secondary prevention of falls in older people. Age Ageing. 2009;38(1):33-40.PubMedGoogle ScholarCrossref

25.

Tinetti ME, Baker DI, McAvay G, et al. A multifactorial intervention to reduce the risk of falling among elderly people living in the community. N Engl J Med. 1994;331(13):821-827.PubMedGoogle ScholarCrossref

26.

van Haastregt JC, Diederiks JP, van Rossum E, de Witte LP, Voorhoeve PM, Crebolder HF. Effects of a programme of multifactorial home visits on falls and mobility impairments in elderly people at risk: randomised controlled trial. BMJ. 2000;321(7267):994-998.PubMedGoogle ScholarCrossref

27.

Vind AB, Andersen HE, Pedersen KD, Jørgensen T, Schwarz P. An outpatient multifactorial falls prevention intervention does not reduce falls in high-risk elderly Danes. J Am Geriatr Soc. 2009;57(6):971-977.PubMedGoogle ScholarCrossref

28.

Wagner EH, LaCroix AZ, Grothaus L, et al. Preventing disability and falls in older adults: a population-based randomized trial. Am J Public Health. 1994;84(11):1800-1806.PubMedGoogle ScholarCrossref

29.

Cohen MA, Miller J, Shi X, Sandhu J, Lipsitz LA. Prevention program lowered the risk of falls and decreased claims for long-term services among elder participants. Health Aff (Millwood). 2015;34(6):971-977.PubMedGoogle ScholarCrossref

30.

Conroy S, Kendrick D, Harwood R, et al. A multicentre randomised controlled trial of day hospital-based falls prevention programme for a screened population of community-dwelling older people at high risk of falls. Age Ageing. 2010;39(6):704-710.PubMedGoogle ScholarCrossref

31.

de Vries OJ, Peeters GM, Elders PJ, et al. Multifactorial intervention to reduce falls in older people at high risk of recurrent falls: a randomized controlled trial. Arch Intern Med. 2010;170(13):1110-1117.
ArticlePubMedGoogle ScholarCrossref

32.

Fairhall N, Sherrington C, Lord SR, et al. Effect of a multifactorial, interdisciplinary intervention on risk factors for falls and fall rate in frail older people: a randomised controlled trial. Age Ageing. 2014;43(5):616-622.PubMedGoogle ScholarCrossref

33.

Ferrer A, Formiga F, Sanz H, de Vries OJ, Badia T, Pujol R; OCTABAIX Study Group. Multifactorial assessment and targeted intervention to reduce falls among the oldest-old: a randomized controlled trial. Clin Interv Aging. 2014;9:383-393.PubMedGoogle ScholarCrossref

34.

Imhof L, Naef R, Wallhagen MI, Schwarz J, Mahrer-Imhof R. Effects of an advanced practice nurse in-home health consultation program for community-dwelling persons aged 80 and older. J Am Geriatr Soc. 2012;60(12):2223-2231.PubMedGoogle ScholarCrossref

35.

Logan PA, Coupland CA, Gladman JR, et al. Community falls prevention for people who call an emergency ambulance after a fall: randomised controlled trial. BMJ. 2010;340:c2102.PubMedGoogle ScholarCrossref

36.

Möller UO, Kristensson J, Midlöv P, Ekdahl C, Jakobsson U. Effects of a one-year home-based case management intervention on falls in older people: a randomized controlled trial. J Aging Phys Act. 2014;22(4):457-464.PubMedGoogle ScholarCrossref

37.

Palvanen M, Kannus P, Piirtola M, Niemi S, Parkkari J, Järvinen M. Effectiveness of the Chaos Falls Clinic in preventing falls and injuries of home-dwelling older adults: a randomised controlled trial. Injury. 2014;45(1):265-271.PubMedGoogle ScholarCrossref

38.

Pérula LA, Varas-Fabra F, Rodríguez V, et al; EPICA Study Collaborative Group. Effectiveness of a multifactorial intervention program to reduce falls incidence among community-living older adults: a randomized controlled trial. Arch Phys Med Rehabil. 2012;93(10):1677-1684.PubMedGoogle ScholarCrossref

39.

Russell MA, Hill KD, Day LM, et al. A randomized controlled trial of a multifactorial falls prevention intervention for older fallers presenting to emergency departments. J Am Geriatr Soc. 2010;58(12):2265-2274.PubMedGoogle ScholarCrossref

40.

Buchner DM, Cress ME, de Lateur BJ, et al. The effect of strength and endurance training on gait, balance, fall risk, and health services use in community-living older adults. J Gerontol A Biol Sci Med Sci. 1997;52(4):M218-M224.PubMedGoogle ScholarCrossref

41.

Robertson MC, Devlin N, Gardner MM, Campbell AJ. Effectiveness and economic evaluation of a nurse delivered home exercise programme to prevent falls, 1: randomised controlled trial. BMJ. 2001;322(7288):697-701.PubMedGoogle ScholarCrossref

42.

Luukinen H, Lehtola S, Jokelainen J, Väänänen-Sainio R, Lotvonen S, Koistinen P. Pragmatic exercise-oriented prevention of falls among the elderly: a population-based, randomized, controlled trial. Prev Med. 2007;44(3):265-271.PubMedGoogle ScholarCrossref

43.

Logghe IH, Zeeuwe PE, Verhagen AP, et al. Lack of effect of tai chi chuan in preventing falls in elderly people living at home: a randomized clinical trial. J Am Geriatr Soc. 2009;57(1):70-75.PubMedGoogle ScholarCrossref

44.

Barnett A, Smith B, Lord SR, Williams M, Baumand A. Community-based group exercise improves balance and reduces falls in at-risk older people: a randomised controlled trial. Age Ageing. 2003;32(4):407-414.PubMedGoogle ScholarCrossref

45.

Campbell AJ, Robertson MC, Gardner MM, Norton RN, Tilyard MW, Buchner DM. Randomised controlled trial of a general practice programme of home based exercise to prevent falls in elderly women. BMJ. 1997;315(7115):1065-1069.PubMedGoogle ScholarCrossref

46.

Morgan RO, Virnig BA, Duque M, Abdel-Moty E, Devito CA. Low-intensity exercise and reduction of the risk for falls among at-risk elders. J Gerontol A Biol Sci Med Sci. 2004;59(10):1062-1067.PubMedGoogle ScholarCrossref

47.

Voukelatos A, Cumming RG, Lord SR, Rissel C. A randomized, controlled trial of tai chi for the prevention of falls: the Central Sydney Tai Chi Trial. J Am Geriatr Soc. 2007;55(8):1185-1191.PubMedGoogle ScholarCrossref

48.

Uusi-Rasi K, Patil R, Karinkanta S, et al. Exercise and vitamin D in fall prevention among older women: a randomized clinical trial. JAMA Intern Med. 2015;175(5):703-711.
ArticlePubMedGoogle ScholarCrossref

49.

Karinkanta S, Kannus P, Uusi-Rasi K, Heinonen A, Sievänen H. Combined resistance and balance-jumping exercise reduces older women’s injurious falls and fractures: 5-year follow-up study. Age Ageing. 2015;44(5):784-789.PubMedGoogle ScholarCrossref

50.

El-Khoury F, Cassou B, Latouche A, Aegerter P, Charles MA, Dargent-Molina P. Effectiveness of two year balance training programme on prevention of fall induced injuries in at risk women aged 75-85 living in community: Ossébo randomised controlled trial. BMJ. 2015;351:h3830.PubMedGoogle ScholarCrossref

51.

Voukelatos A, Merom D, Sherrington C, Rissel C, Cumming RG, Lord SR. The impact of a home-based walking programme on falls in older people: the Easy Steps randomised controlled trial. Age Ageing. 2015;44(3):377-383.PubMedGoogle ScholarCrossref

52.

Sherrington C, Lord SR, Vogler CM, et al. A post-hospital home exercise program improved mobility but increased falls in older people: a randomised controlled trial. PLoS One. 2014;9(9):e104412.PubMedGoogle ScholarCrossref

53.

Gawler S, Skelton DA, Dinan-Young S, et al; ProAct65+ Team. Reducing falls among older people in general practice: the ProAct65+ exercise intervention trial. Arch Gerontol Geriatr. 2016;67:46-54.PubMedGoogle ScholarCrossref

54.

Kovács E, Prókai L, Mészáros L, Gondos T. Adapted physical activity is beneficial on balance, functional mobility, quality of life and fall risk in community-dwelling older women: a randomized single-blinded controlled trial. Eur J Phys Rehabil Med. 2013;49(3):301-310.PubMedGoogle Scholar

55.

Freiberger E, Häberle L, Spirduso WW, Zijlstra GA. Long-term effects of three multicomponent exercise interventions on physical performance and fall-related psychological outcomes in community-dwelling older adults: a randomized controlled trial. J Am Geriatr Soc. 2012;60(3):437-446.PubMedGoogle ScholarCrossref

56.

Trombetti A, Hars M, Herrmann FR, Kressig RW, Ferrari S, Rizzoli R. Effect of music-based multitask training on gait, balance, and fall risk in elderly people: a randomized controlled trial. Arch Intern Med. 2011;171(6):525-533.
ArticlePubMedGoogle ScholarCrossref

57.

Fitzharris MP, Day L, Lord SR, Gordon I, Fildes B. The Whitehorse NoFalls trial: effects on fall rates and injurious fall rates. Age Ageing. 2010;39(6):728-733.PubMedGoogle ScholarCrossref

58.

Ng TP, Feng L, Nyunt MS, et al. Nutritional, physical, cognitive, and combination interventions and frailty reversal among older adults: a randomized controlled trial. Am J Med. 2015;128(11):1225-1236.PubMedGoogle ScholarCrossref

59.

Kamide N, Shiba Y, Shibata H. Effects on balance, falls, and bone mineral density of a home-based exercise program without home visits in community-dwelling elderly women: a randomized controlled trial. J Physiol Anthropol. 2009;28(3):115-122.PubMedGoogle ScholarCrossref

60.

Gill TM, Pahor M, Guralnik JM, et al; LIFE Study Investigators. Effect of structured physical activity on prevention of serious fall injuries in adults aged 70-89: randomized clinical trial (LIFE Study). BMJ. 2016;352:i245.PubMedGoogle ScholarCrossref

61.

Dukas L, Bischoff HA, Lindpaintner LS, et al. Alfacalcidol reduces the number of fallers in a community-dwelling elderly population with a minimum calcium intake of more than 500 mg daily. J Am Geriatr Soc. 2004;52(2):230-236.PubMedGoogle ScholarCrossref

62.

Gallagher JC, Fowler SE, Detter JR, Sherman SS. Combination treatment with estrogen and calcitriol in the prevention of age-related bone loss. J Clin Endocrinol Metab. 2001;86(8):3618-3628.PubMedGoogle ScholarCrossref

63.

Porthouse J, Cockayne S, King C, et al. Randomised controlled trial of calcium and supplementation with cholecalciferol (vitamin D3) for prevention of fractures in primary care. BMJ. 2005;330(7498):1003.PubMedGoogle ScholarCrossref

64.

Bischoff-Ferrari HA, Orav EJ, Dawson-Hughes B. Effect of cholecalciferol plus calcium on falling in ambulatory older men and women: a 3-year randomized controlled trial. Arch Intern Med. 2006;166(4):424-430.PubMedGoogle Scholar

65.

Glendenning P, Zhu K, Inderjeeth C, Howat P, Lewis JR, Prince RL. Effects of three-monthly oral 150,000 IU cholecalciferol supplementation on falls, mobility, and muscle strength in older postmenopausal women: a randomized controlled trial. J Bone Miner Res. 2012;27(1):170-176.PubMedGoogle ScholarCrossref

66.

Sanders KM, Stuart AL, Williamson EJ, et al. Annual high-dose oral vitamin D and falls and fractures in older women: a randomized controlled trial. JAMA. 2010;303(18):1815-1822.
ArticlePubMedGoogle ScholarCrossref

67.

Schleicher RL, Sternberg MR, Lacher DA, et al. The vitamin D status of the US population from 1988 to 2010 using standardized serum concentrations of 25-hydroxyvitamin D shows recent modest increases. Am J Clin Nutr. 2016;104(2):454-461.PubMedGoogle ScholarCrossref

68.

Dawson-Hughes B, Harris SS, Krall EA, Dallal GE. Effect of calcium and vitamin D supplementation on bone density in men and women 65 years of age or older. N Engl J Med. 1997;337(10):670-676.PubMedGoogle ScholarCrossref

69.

Related Solutions

Your hospital wants to decrease the rate of falls in patient older than 65 years of...
Your hospital wants to decrease the rate of falls in patient older than 65 years of age. You have been asked to conduct an EBP project regarding these patient outcomes. For the Fall study discuss what descriptive research design could be used to investigate this problem. What would be the research question? Why did you select this type of study design? please include reference
patient safety and falls in the hospital environment
patient safety and falls in the hospital environment
A survey is conducted on 700 Californians older than 30 years of age. The study wants...
A survey is conducted on 700 Californians older than 30 years of age. The study wants to obtain inference on the relationship between years of education and yearly income in dollars. The response variable is income and the explanatory variable is years of education. A simple linear regression model is fit, and the output from R is below. lm(formula = Income ~ Education, data = CA) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 25200.20 1488.94 16.93 3.08e-10 *** Education...
Critical thinking scenario: Sally is providing patient education to an older patient, Mrs. Campo, who is...
Critical thinking scenario: Sally is providing patient education to an older patient, Mrs. Campo, who is having difficulty swallowing the large tablets needed for her medical condition. She tells you that two of the tablets have "deep lines" through the tablet and one has a very hard coat. Mrs. Campo wants to know if there is any way she can make swallowing the medicine easier. What about the tablet that seems to have an enteric coating?
Scenario Summary You are the new director of risk management at Little Falls Hospital, which is...
Scenario Summary You are the new director of risk management at Little Falls Hospital, which is a 450-bed tertiary care facility in a major urban area in the Northeast. The hospital is an integrated health system that provides the full array of inpatient and outpatient services. The hospital enjoys a reputation for quality care in the area. As the new risk manager, you have been briefed about a patient care case that needs your attention. ·         The patient is a...
Case-Study Scenario A 70 years old male patient is discharged from the hospital after having kidney...
Case-Study Scenario A 70 years old male patient is discharged from the hospital after having kidney transplantation. He is doing well without any signs and symptoms of infection and discharged on immunosuppressant drugs and antibiotics. Two days later his temperature reported 38.5, when he came to the clinic the doctor informed him that he caught an infection and we have to admit you to the hospital and start on another antimicrobial drugs. Q1. The blood culture for the patient revealed...
Calculate the incidence rate of Lupus in men older than 45 years old per 1000 population?...
Calculate the incidence rate of Lupus in men older than 45 years old per 1000 population? Calculate the incidence rate of Lupus in men less than or equal to 45 years old per 1000 population? See table below. Lupus No Lupus >45 years old 700 200 ≤45 years old 470 1220
Case Scenario: Your patient, a 70-year-old male recently admitted to the hospital, has a pCO2 of...
Case Scenario: Your patient, a 70-year-old male recently admitted to the hospital, has a pCO2 of 64, pO2 of 69, and pH of 7.4. He is short of breath and has rattles in the bases of both lungs. Question: Give an admitting diagnosis based on blood gases. Defend your answer using specific facts, data, and other information drawn from the textbook and at least one other supplemental source.
In the hospital, you see that an older patient has a positive Babinsky sign.  What does this...
In the hospital, you see that an older patient has a positive Babinsky sign.  What does this look like?  This “positive” sign is not a good thing, what does it indicate regarding a tract? B) What information travels along this tract?  Where do neural signals originate along this tract, and what is the function of this area of the brain?  Explain the pathway for a neural signal to travel from that area of the brain to its destination, introducing relevant anatomy along the way.
30. Total serum cholesterol levels for individuals 65 years of age or older are assumed to...
30. Total serum cholesterol levels for individuals 65 years of age or older are assumed to follow a normal distribution, with a mean of 182 and a standard deviation of 14.7. a. What proportion of individuals 65 years of age and older have cholesterol levels of 175 or more? b. What proportion of individuals 65 years of age and older have cholesterol levels between 150 and 175? c. If the top 10% of the cholesterol levels are assumed to be...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT