Kalpana P. Padala, MD, MS - PowerPoint PPT Presentation

1 / 32
About This Presentation
Title:

Kalpana P. Padala, MD, MS

Description:

Wii-Fit for Activity, Balance and Gait in Assisted Living Kalpana P. Padala, MD, MS Research Geriatrician, Assistant Professor Department of Family Medicine – PowerPoint PPT presentation

Number of Views:52
Avg rating:3.0/5.0
Slides: 33
Provided by: amdafound
Category:

less

Transcript and Presenter's Notes

Title: Kalpana P. Padala, MD, MS


1
 Wii-Fit for Activity, Balance and Gait in
Assisted Living
  • Kalpana P. Padala, MD, MS
  • Research Geriatrician, Assistant Professor
  • Department of Family Medicine
  • University of Nebraska Medical Center Omaha, NE

2
Faculty Disclosures
  • The presenters have disclosed that they have no
    relevant financial relationship(s).

3
Funding source
  • 2009 AMDA foundation / Pfizer Quality Improvement
    Award

4
Learning Objectives
  • By the end of the session, participants will be
    able to
  • Objective 1 Appreciate the impact of balance and
    gait problems in AD
  • Objective 2 Recognize barriers to exercise in
    this population
  • Objective 3 Evaluate the feasibility of Wii-Fit
    to improve balance and gait in AD

5
Falls in AD
  • Three fold higher in AD compared to cognitively
    intact older adults
  • Impact
  • rate of injuries and fractures
  • rate of institutionalization
  • Older adults who wander and fall their life
    span by more than 3 years

6
Gait in AD
  • Shortened step length
  • double support time
  • stride length variability - proven risk factor
    for falls in AD
  • gait speed

7
Importance of Exercise Barriers
  • Exercise is known to improve gait and balance in
    elderly
  • Barriers to Exercise
  • Difficulty in engaging subjects
  • Lack of motivation
  • Cost
  • Transportation issues
  • Availability of coach or physical therapist
  • Lack of facilities in rural areas

8
Wii-Fit
  • A Nintendo gaming console
  • Includes a balance board that senses weight,
    movement and balance
  • Virtual trainers talk the user through the
    activity while tracking progress
  • Exercise Components
  • Yoga
  • Strength training
  • Aerobics
  • Balance games

9
Wii- Fit Component
10
Creating Mii Calculating BMI and Wii-Fit Age
11
Yoga Strength Training
12
Aerobics
13
Balance Games
14
Balance Games
15
Specific Aims
  • To compare the effect of the Wii-Fit program to a
    walking program, on measures of balance, in
    subjects with mild AD residing in an assisted
    living facility
  • To compare the effect of the Wii-Fit program to a
    walking program, on measures of activity, gait,
    and quality of life in the same population

16
Methods
  • Study design
  • 8-week prospective randomized parallel-group
    study

17
22 subjects (11 in each arm)
Wii-Fit arm
Walking arm
Intervention 30 minutes daily five days a week
for 8 weeks
Intervention 30 minutes daily five days a week
for 8 weeks
18
Study subjects Sign consent and assent
forms Randomization
Obtain primary and secondary outcome measures
Wii-Fit intervention for 8 weeks
Walking intervention for 8 weeks
Assess primary and secondary outcome measures
Assess primary and secondary outcome measures
19
Primary Outcome Measures
  • Berg Balance Scale (BBS)
  • 14 subsets of tasks performed in a standard order
  • Each task is scored on a five-point scale (0-4)
  • The maximum score for this assessment is 56
  • A score of lt 45 is predictive of falls
  • Good inter-rater reliability of 0.98

20
Secondary Outcome Measures
  • Timed Up and Go (TUG)
  • Tinettis Test
  • Activities of daily living (ADL)
  • Instrumental Activities of daily Living (IADL)
  • Quality Of Life-AD (QOL-AD)
  • Mini Mental State Exam (MMSE)
  • Executive Function tests (Trails A B and Exit
    -25)
  • Apathy Evaluation Scale (AES)
  • Actigraphs (advanced pedometers - measure
    physical function)

21
95 charts screened
Study Flow diagram
46 charts found eligible
1 subject hospitalized , 1 subject on PT, 1
subject had severely limited endurance 1
subject out of the facility 5 days a week
37 subjects and/or POA approached for the study
5 subjects not pursued as the N was met
4 POA did not return phone calls 2 POA declined
2 subjects were their own POA and declined
5 subjects declined after POA agreed 2 subjects
declined before POA were contacted
22 subjects participated in the study
22
Results
  • 22 subjects enrolled,11 in each arm
  • One subject in each arm did not complete the
    study
  • The subject in Wii-Fit arm did not want to
    continue after completing 4 weeks
  • The subject from Walking arm was discharged to
    his home after 4 weeks
  • Data was analyzed with intent to treat analysis
  • RM-ANOVA was used to analyze the continuous
    variables

23
Demographics baseline variables
  • Mean age 80.4 (7.8) years
  • Gender 8 females in each group
  • Race All subjects were Caucasians
  • Mean BMI 25.4 (4.05) kg/m2
  • Mean Years of education13.9 (2.1) years
  • No baseline differences among the two groups with
    regards to demographics, primary and secondary
    outcome variables

24
Results
  • There was a significant improvement in BBS across
    the entire study subjects
  • (plt0.001)
  • There was also significant improvement in TUG
    (p0.036) and Tinettis (plt0.001)

25
Comparison of mean change in BBS amongst the two
groups
26
Results (contd)
  • There was significant improvement in the balance
    and gait in both groups but within group
    differences were not statistically significant
  • There was no significant improvement in the ADL,
    IADL, QOL, MMSE in both groups and within group
    differences were not statistically significant

27
Conclusion
  • Both Wii-Fit and walking are feasible in an
    Assisted living facility
  • Balance and Gait improved significantly with both
    interventions
  • Both groups had good adherence

28
Limitations
  • Conducted in an Assisted living, so not
    generalizeable to community dwellers
  • Small sample size
  • Study intervention was investigator driven than
    patients self motivation
  • The study intervention was not aimed towards the
    primary outcome variable

29
Acknowledgements
  • William J. Burke, MD Primary Mentor
  • Timothy Malloy, MD,CMD Medical Director
  • Sarah Frost, PT, Physical Therapist
  • Jenenne Geske, PhD Statistician
  • Marie Bissell, BSN, RN Graduate assistant
  • Penny Schweitzer, RN, Administrator
  • Chris Stungis, RN, QMA/Director of Health care
    Services
  • Facility Parsons House on Eagle Run

30
Questions
31
Inclusion criteria
  • Age 60
  • Alzheimers Dementia, mild(MMSE 18)
  • Residing in assisted living facility
  • Presence of legal surrogate

32
Exclusion criteria
  • History of myocardial infarction, TIA or stroke
    in last 6 months
  • Presence of serious mental illness impacting
    memory
  • Active cancer except skin cancer
  • Medical conditions likely to compromise survival
    (e.g. severe CHF)
  • Severe sensory and musculoskeletal impairments
  • Using wheel-chair
Write a Comment
User Comments (0)
About PowerShow.com