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Current Research on Falls Prevention Jane Mahoney, MD University of Wisconsin Medical School Dec 15, 2004 Scope of the Problem • In 1999, accidents were the 8th leading cause of death for adults age 65 and older in the US, and the leading cause of accidental deaths was falls. • Fractures accounted for 531,000 hospitalizations in the over-65 age group. Falls in Wisconsin • In 2002, there were 22,500 hospitalizations in Wisconsin for fall-related injuries. • The state’s death rate due to falls has increased 20% from 1992 to 2002 • The state’s death rate due to falls is almost twice the national average. Fall-Injury Rates Are Increasing Over Time 2000 1600 1200 800 400 Women 95 19 90 19 85 19 0 19 8 75 19 70 0 19 number per 100,000 • Kannus et al, Lancet 1997 • Finnish data – national hospital discharge register • Age-adjusted incidence of fall-related injury for ages 60 and over Men Purpose • Overview of current guidelines for fall prevention • Intervention research: multifactorial trials, exercise, group cognitive-behavioral classes • Prevention after hospital discharge • Preliminary data, Kenosha County Falls Prevention Study • Dane County SAFE Study: evaluating research findings in a community setting Definition of Accidental Fall An accidental fall is an event which results in a person coming to rest inadvertently on the ground or other lower level not due to obvious loss of consciousness, stroke, seizure or sustaining a violent blow. Components of Postural Control Sensory Input Central Processing Visual Environment Vestibular Proprioceptive Cognition CNS pathways Medications Effector Output Musculoskeletal Strength Biomechanical Risk Factors For Falls from Epidemiologic Studies • Previous hx of falls • Balance or gait impairment • Dementia • Visual deficit • Neuropathy • Muscle weakness • Psychotropic medications • Depression • Arthritis, Parkinson’s, stroke Risk Factors are Additive Tinetti, NEJM, 1988 80 70 60 50 40 30 20 10 0 0 rf 1 2 % falling 3 4+ 2001 Guidelines American Geriatrics Society, British Geriatric Society, American Academy of Orthopedic Surgeons • All older adults should be asked at least once a year about falls. • All older adults who report a single fall should be observed rising from a chair and walking. • Older adults with 2 or more falls in the past year, 1 fall with injury, or 1 fall with gait and balance problems should receive a fall evaluation followed by multifactorial intervention. 2001 Guidelines Multifactorial Intervention • Gait training including advice on assistive devices • Review/modify medications, especially psychotropics • Individualized, progressive exercise programs with balance training • Treat postural hypotension • Modify environmental hazards • Treat cardiovascular disorders including arrythmias Randomized Trials of Multifactorial Interventions Study Outcome • Tinetti, NEJM 1994 Rate 31% • Wagner, AJPH, 1994 • Close, Lancet, 1999 • Day, BMJ, 2002 Risk Risk Rate 9% 61% 33% Benefit of Exercise in Reducing Falls • Previous studies have shown that patients with a history of multiple previous falls will benefit from individualized physical therapy • Physical therapy should be progressive, last several months, and should include balance exercises Randomized Trials of Group Exercise Outcome Study Wolf, JAGS, 1996 Tai Chi Lord, JAGS, 2003 standing Barnett, Age Ageing, 2003 standing Day, BMJ, 2002 standing Wolf, JAGS, 2003 Tai Chi Risk 47% Rate Rate Rate Risk 22% 40% 18% 25% NS Group Exercise for Falls Prevention • Include standing exercises that challenge balance – Stepping, Tai Chi, change of direction, dance steps • Complexity and speed of exercises increase • Classes held 1-2 times per week, typically also with home exercises • Exercises are individualized as needed Group classes: cognitivebehavioral learning • 7-week classes plus 1 home OT visit to improve self-efficacy, encourage behavioral change, reduce falls • Focus on improving balance and strength, improving home and community environamental and behavioral safety, encouraging vision screen and med review • Results = 31% reduction in falls Post-hospital falls prevention rationale Environment Sensory CNS Musculoskeletal Output Delirium Systemic Effects of Illness Acute Changes in Postural Control New Medications Environment Sensory CNS changes Musculoskeletal Output Bedrest, Deconditioning Effects of Bedrest • • • • • • Loss of muscle mass and strength Orthostasis, volume contraction Increased body sway Slower gait speed Visual-spatial abnormalities Impaired coordination Risk of Falls after Hospitalization Mahoney, JAGS, 1994 • Older adults discharged from St. Mary’s Hospital after acute illness - 14% fell in the month after hospital discharge. • Risk was higher among those receiving home nursing compared to those not (20% vs 8% fell, p=.01) Risk factors by home nursing use Not receiving home nursing Vision impairment Self-report of confusion Receiving home nursing Mobility imp pre-hosp Decline in mobility by discharge Use of anticholinergics or antihistamines Self-report of confusion Falls After Hospital Discharge Mahoney, Arch Int Med, 2000 - 311 older adults receiving home nursing after discharge 7 1000 person-days 6 5 4 3 2 1 0 2 4 6 8 10 12 Weeks After Hospital Discharge 14 Rehospitalizations Due to Fall Injuries • 15% of all re-hospitalizations in the first month were due to fall injuries. Risk Factors for Falling: Pre-Hospital Pre-Hospital: • Prior dependence in ADLs • Used standard walker • > 2 falls in yr prior • # hospitalizations in year prior Odds Ratio 2.3 3.2 1.7 1.1 Risk Factors Potentially Related to Hospitalization and Acute Illness Post-Hospital: Admit for GI dx First generation tricyclic Uses cane indoors Middle tertile balance Lowest tertile balance Probable delirium Odds Ratio 2.5 3.2 0.3 2.2 3.3 6.7 Post-Hospital Falls Prevention : Nikolaus, Bach: JAGS, 2003 • Home visit during hospitalization followed by 1+ visits after discharge • Typically OT and other member of interdisc team (RN, PT or SW) • Evaluate and modify home hazards, teach safe behaviors including use of mobility and functional aids Results • 30% decrease in falls in 1-year follow-up compared to no home visits • Most effective in those with 2+ falls in year prior: IRR = 0.63 • Both groups got comprehensive geriatric assessment prior to discharge Post-Hospital Fall Prevention: Cumming et al, JAGS 1999 • 1+ home OT visits, and 1 phone call 2 weeks post-first visit • Assess and modify home hazards, teach safe behaviors, evaluate and recommend safe footwear Results • 19% reduction in fallers (p=.050) • 36% reduction in fallers among those with prior hx of falls (p=.001) Approach to post-hospital falls prevention • Minimize bedrest during hospitalization • Observe patient doing functional tasks – walking, transferring, reaching, dressing • Educate older patients about post-hospital risk – Use mobility aid, caution with maneuvers – Eyeglasses, sturdy footwear, home safety check • Stratify post-hospital falls risk: – 2+ falls in year prior – significant decline in mobility with hosp For high risk patients • Reduce psychotropics • Refer to home health for home OT (if qualifies) – – – – Evaluate transfers and ADL Assess need for home functional aids Assess and modify home hazards Teach safe behaviors • Obtain PT in-hospital – Evaluate for home assistive device – Evaluate need for home PT – Provide balance, strengthening exercises for home Applying Multifactorial Interventions in the Community • Multifactorial falls prevention strategies have been successful in research studies – utilized specific exercise programs or physical therapists – utilized multiple specialists • It is unknown if a multifactorial intervention utilizing existing medical systems will decrease falls. Randomized Trial of CommunityBased Multifactorial Intervention • Kenosha County Falls Prevention Study – Funded by Wisc Resource Center Prevention Grant – Algorithm for falls assessment, recommendations, and monthly follow-up. – Recommendations to physician, referral to PT followed by exercise, other referrals as needed. Methods • • • • Inclusion Criteria: - Residing in Kenosha County, WI, age >65. - Two or more falls in past year, or one fall in past 1 to 2 years with injury or gait and balance problems Exclusion Criteria: - Residence in Nursing home or CBRF - Diagnosis of dementia, no related caregiver in home. Baseline information collected regarding: demographics, health status, mobility, function, cognition, depression, medications, vision, and health behaviors. Followed monthly for falls for 1 year Enrollment Characteristics 616 Referred 418 Eligible (68%) 349 Enrolled (83% of eligible) Baseline Characteristics (n=349) MEASUREMENT DOMAIN Age BASELINE 80.0 ±7.5 Demographics Female 78.5% 2.4 ± 2.5 Falls No. falls in past year Health status Emergency Room visit(s) past 4 months 30.7% Mobility Assistive device use indoors 35.9% Barthel Index Function No. of independent Instrumental Activities of Daily Living out of 7, (IADLs) Cognition Mini-Mental State Exam (max 30) Meds No. of prescription medications Any alcohol intake Health Behaviors Frequency of exercise (days per week) , (%) 88.1 ±16.6 4.8 ± 2.2 27.1 ± 4.4 5.7 ± 3.3 37.3% <1 34.7% 1-3 21.2% 4-7 44.1% Differences in 2+ fallers versus single fallers Kenosha County Falls Prevention Study funded by the Wisconsin Department of Health and Human Services Differences in recurrent fallers versus single fallers • The AGS recommends that older adults who have had 2+ falls in the past year, 1 fall with injury, or 1 fall with gait or balance problems receive a multifactorial falls evaluation. • Purpose: to examine baseline characteristics of those who have had 2+ falls in the past 12 months, compared to those with 1 fall in past 1-2 years. If there are differences, this could have implications for treatment. Enrollment by Falls History 200 180 160 140 120 100 80 60 40 20 0 2+falls past 12 mos, n=189 1 fall past 12 mos. With injury, n=64 1 fall past 12 mos. with gait/balance problems, n=51 fall past 12-24 mos. With injury, n=30 fall past 12-24 mos. With gait/balance problems, n=15 •Comparison: 2+ falls past 12 mos. (n=189) vs. 1 fall in past 24 mos. (n=160) •Two-sample t-tests for continuous variables and Pearson’s chi-square tests for categorical variables. Comparison of Baseline Characteristics DOMAIN MEASUREMENT 2+ FALLS PAST YEAR 1 FALL PAST 1-2 YEARS N=160 P-VALUE N=189 Demographics Falls Health status Age 79.9 80.0 0.94 Female 73.5% 84.4% 0.014 No. falls in past yr 3.7 0.8 <0.0001 Hx of hip fx , % 11.2% 7.6% 0.25 Hx of CVA , % 31.2% 18.8% 0.008 Health rated fair/poor , % 38.1% 21.3% 0.007 ER visits in past 4 mos, % 38.1% 21.9% 0.001 Assistive device use indoors , % 42.3% 28.1% 0.006 Without help 60.9% 83.8% Some help 26.5% 11.9% Unable 12.7% 4.4% Mobility Walk outside, % <0.0001 Comparison of Baseline Characteristics DOMAIN MEASUREMENT 2+ FALLS PAST 12 MOS P-VALUE N=189 1 FALL PAST 24 MOS. WITH INJURY OR GAIT/BALANCE PROBLEMS N=160 No. IADLs 4.3 5.4 <0.0001 Barthel Index score 85.1 91.6 0.0002 Cognition MMSE score 26.6 27.6 0.028 Depression GDS scpre 3.4 2.5 0.004 6.2 5. 0.0007 Medication No. prescription medications No. Psychotropics 0.3 0.1 0.018 Able to watch TV, % 91.5% 96.9% 0.037 Any intake alcohol , % 34.4% 40.6% 0.29 Exercise program , % 18% 18.1% 0.97 <1 36% 33.1% 1-3 19.5% 23.1% 4-7 44.4% 43.8$ Function Vison Health Behaviors Frequency of exercise, times per week , % 0.70 Barthel Comparison SELECTED BARTHEL ACTIVITY lower score indicating more impairment MEAN BARTHEL SCORE 2+ FALLS PAST YEAR 1 FALL PAST 1-2 YEARS P-VALUE Bathing Self 3.6 4.4 0.0002 Dressing 8.8 9.3 0.036 Toileting 9.6 9.9 0.019 Transferrring 14.1 14.7 0.014 Walking on level surface 11.7 13.3 0.001 Climbing stairs 7.1 8.5 0.0002 Conclusion • There are multiple significant differences in domains of: health status, mobility, function, cognition, depression, medications, and vision, comparing recurrent fallers and single fallers. Recurrent fallers are more likely to have risk factors in multiple domains. • The propensity for positive exercise behavior was similar in both groups. Implications • Given the greater number of risk factors and impairments in the recurrent faller group, we may need to consider focusing a multifactorial approach toward this group. • Our data on exercise behavior suggests recurrent fallers may be equally likely to adhere to an exercise intervention as single fallers Limitations • The sample was self selected by those interested in a falls prevention trial and may not be representative of all fallers. • This was primarily a white, middle-class population and may not be generalizable to other populations. Dane County SAFE Study • Three-year RCT funded by CDC • Will randomize 420 older adults at high risk for falls to multifactorial intervention and follow-up or health information booklets. • Intervention similar to Kenosha County study. • But, supplemented by educational initiatives to increase physician and physical therapy utilization of recommendations. Grant Overview Two components Goal 1: In-home multifactorial assessment randomized trial for high-risk older adults Goal 2: Education of primary health care providers in Dane County. Goal 1: Multifactorial intervention trial • Target group: – Community-residing adults age 65 and older at high risk for falls – AGS criteria • 2+ falls in the past year • 1 fall with injury • 1 fall with abnormal gait or balance – Exclusion criteria: • residence in NH or CBRF • Unable to give informed consent and no related caregiver in home. Randomization High risk older adults (n=420) informed consent baseline assessment In-home multifactorial intervention (n=210) Educational booklets (n=210) Outcomes • Primary outcome = falls – Hypothesized 40% reduction in rate of falls over 1 year compared to control group – Falls obtained via monthly calendar • Secondary outcomes – # hospitalizations and hospital days – # nursing home admissions and NH days – Change in function, mood, vision, medications, fear of falling, and physical performance at 12 months compared to baseline. Multifactorial assessment • Follows principles of AGS guidelines • Can be performed by PT or RN with crosstraining • Requires about 2 hours to perform • Is performed in-home preferably with caregiver present Algorithm assesses: – History of falls, comorbidities, risk related to IADLs and ADLs, fear of falling, risky behaviors, footwear – depression, cognition – medications, alcohol intake – Exam: Orthostatics, vision, visual fields, vibration, Romberg – Gait and balance: Sensory integration, reactive balance, Berg balance, Tinetti Gait, Attention, Foot/ankle alignment Outcome of assessment • Algorithm generates recommendations to patient and physician, and referrals to PT, opthalmology, podiatry, OT, and other health provider and community resources • Assessor returns to the home within 2 weeks to provide recommendations and referrals Intervention continues for 1 year • Monthly phone call from assessor to encourage and assess compliance, help with problem-solving, etc. • For most participants, the algorithm generates a referral to physical therapy. Physical therapy is followed by an ongoing, individualized exercise plan for community or home exercise, with an exercise “buddy” if needed. Goal 2: Provider Education • Target Groups – Primary care physicians – Physician Assistants and NPs – Physical Therapists, Paramedics • Purpose: Educate for falls prevention • Outcomes: Compare change in rate of hospitalizations for fall-related injuries in Dane County to other counties Strategies for Recruitment • Direct to seniors • Community groups • Professional providers • Enrolled to date: 337 • Enrollment will continue through April 05 Referrals by Referral Type (N=729) 7% 2% 1% 13% 3% 7% 67% DCAAA Post Hosp/ER Home Care Primary MD/clinic Therapy OT/PT Other Indirect Self Referred Participants by Referral Type (N=290) 6% 1% 1% 14% 2% 10% 66% DCAAA Post-Hosp/ER home care Primary MD/clinics Therapy (PT/OT) Other Indirect Self Referred Thank-you Wisconsin Dept. of Health and Family Services Terry Shea, PT, Co-Principal Investigator Bob Przybelski, MD, Co-Investigator Ron Gangnon, Mari Palta, Biostatistics Nurses and physical therapists with the Dane County SAFE Study Sheila Guilfoyle, Coordinator Community agencies, health care providers