the evidence for tailoring behavioral interventions: what works, why and how
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The Evidence for Tailoring Behavioral Interventions: What Works, Why and How. Kathy Richards, PhD, RN, FAAN University Professor and Assistant Dean Doctoral Programs and Research Development School of Nursing College of Health and Human Services George Mason University Fairfax, Virginia. - PowerPoint PPT PresentationTRANSCRIPT
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The Evidence for Tailoring Behavioral Interventions: What Works, Why and How
Kathy Richards, PhD, RN, FAAN
University Professor and Assistant Dean Doctoral Programs and Research Development
School of Nursing
College of Health and Human ServicesGeorge Mason University
Fairfax, Virginia
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Paul Yushevich, PhD Paula Roberson, PhD Dennis Sullivan, MD Paofeng Tsai, PhD, RN Mort Kleban, PhD Rebecca Lorenz PhD, RN Karen Rose PhD, RN Carol Enderlin MNSc, RN Alexandra Hanlon, PhD Gurpreet Kalra, MS
Co-Investigators & Collaborators Nalaka Gooneratne, MD John Detre, MD Stephen Moelter PhD Amy Sawyer PhD, RN Terri Weaver PhD, RN, FAAN Cornelia Beck, PhD, RN, FAAN Donald Bliwise, PhD William Evans, PhD Patricia O’Sullivan, EdD Catherine Cole, PhD, RN Corinne Lambert, PhD, RN
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• National Institute of Nursing Research
• National Institute on Aging
• Health Services Research and Development,
Department of Veterans Affairs
Funding Sources
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Understand
Assess PlanImplem
entEvalua
te
1. Identify individual’s explanatory model of the illness
2. Identify and select potential etiologies for illness
3. Identify and
understand critical patient
characteristics for
tailoring the
intervention
4. Adapt/devel
op instruments
to assess the critical
patient characterist
ics
5. Adapt/devel
op instruments
to assess the
outcomes
6. Plan the tailored
intervention:
• What• Where• When• How
• To Whom• How
Much
7. Implement
the tailored
intervention
• Maintain interven
tion fidelity
8. Evaluate Outcomes
Model for Tailoring Biobehavioral Interventions
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Caregiver (n = 18) Decreased sleep
Increased stress
Disrupted social and familial interaction
Difficulty managing own health problems
Loss of work
UnderstandSleep Problems in Dementia
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“He doesn’t sleep through the night. . .But we both work and it’s very difficult for us. We’re so tired at night. We don’t sleep much.”
“He began to get up and wander around the house. So I got a monitor. I have put everything dangerous up high, put the matches up so he won’t try to light a fire in the kitchen. I had to put the things I don’t want broken in the basement. I have put locks on the doors in the house.”
“I have two small children so it is very difficult. Some nights we never know if we will get any sleep at all.”
Nighttime Sleep Problems in Dementia
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We hypothesized that nighttime behavioral disturbance may be associated with obstructive sleep apnea syndrome, periodic limb movements, and restless legs syndrome (RLS).
UnderstandSleep and Behavioral
Disturbance in Dementia
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60 elders with dementia residing at home Methods
2 nights polysomnography Obstructive sleep apnea syndrome Periodic limb movements
Assess: RLS diagnosis – 2 experts1.chief sleep complaint (from caregiver and/or elder) 2.RLS diagnostic interview per caregiver 3.polysomnography data including apnea-hypopnea
index (AHI) and periodic limb movement index (PLMI) 4.RA observations of RLS signs 5.Medical diagnoses and medications
Understand: Sleep and Behavioral Disturbance in Dementia
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Behavioral Disturbance 3 nights of every 5 minute behavioral
observations using the Cohen-Mansfield Agitation Inventory for direct observation (19 hours) to calculate the Behavioral Disturbance Index (BDI)
BDI – frequency of behaviors per hour of observation
Understand: Sleep and Behavioral Disturbance in Dementia
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Possible-RLS Diagnosis
24%
76%
1 2
Results
p-RLS Diagnosis
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Predictor r (p-value) Coeff SE t p-value
P-RLS 0.31(0.02) 0.70 0.23 3.0 0.004
MMSE -0.33 (0.012) -0.04 0.007 -2.79 0.012
Log AHI -0.37 (0.004) -0.32 0.11 -3.0 0.004
Intercept 2.95 0.39 7.51 0.000
Adjusted R2 = 0.31; p = 0.0000
Rose, K.M., Beck, C., Tsai, P., Liem, P.H., Davila, D.D., Kleban, M., Gooneratne, N.S., Kalra, G., Richards, K.C. (2011) Sleep disturbances and nocturnal agitation behaviors in older adults with dementia. Sleep, 34(6), 779-786. *
Best fitting multiple linear regression model predicting Behavioral Disturbance Index
Understand: Sleep and Behavioral Disturbance in Dementia
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The specific aims are to determine: the sensitivity, specificity, and optimal cut-off values (scores that indicate a positive RLS diagnosis) for the: a) behavioral indicators index assessed by the Behavioral Indicators Test-Restless Legs (BIT-RL); b) the leg movement index assessed by the Periodic Activity Monitor–Restless Legs, c) serum ferritin, and d) selected demographics/medical history.
Assess: Restless Legs Syndrome R01AG027778
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– Methods• Sample
– Cognitively intact
– 100 with RLS, 100 without RLS
– Aged 40-90
• 3 in-laboratory stays (5 pm – 8 am)
Assess: Restless Legs Syndrome
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– Methods (continued)• Periodic Activity Monitor – RLS
– Triaxial accelerometer, worn on both legs
– 3 nights
• Behavioral Indicators Test – RLS
– Trained observers
» 2 days of training using videos of persons with and without RLS
» Gold standard rater – 95% or greater
» Interrater reliability – 95% or greater
– 20 minute observations in early morning, afternoon, after a short exercise period
– 1 hour observation at bedtime
– 3 days
Assess: Restless Legs Syndrome
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– Interim Results
• Diagnostic Indicators of RLS– BIT-RL
» 20 minute afternoon observation– Serum ferritin (45 cut point)
– History of iron deficiency
– History of cardiovascular disease
– History of depression
Assess: Restless Legs Syndrome
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Purpose: Test the effect of an individualized daytime social activity intervention on daytime napping and nighttime sleep
Methods: Randomized Controlled Trial
Individualized Social Activity Intervention Usual Care Control
139 nursing home residents with dementia who napped
Plan, Implement, and Evaluate: Social Activity
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– Methods (continued)• Individualized social activity intervention
– Replace excessive napping with meaningful social activities– Project nursing assistants conducted, 1 hour daily for 21
days – Critical characteristics
» Past interests and preferences» Cognitive and functional status» Patterns of daytime napping
– 123 activities – games, music, dancing, reminiscence– Fidelity - training, gold standard, videotaping– Prescription Algorithm
• Baseline and days 17-21 - actigraphy• Data Analysis: 2-factor repeated measures analysis of
variance, first factor was between subjects (intervention vs. control), second factor was within subjects, time (pre vs. post), hypothesis of interest was the interaction between the 2 factors
Plan, Implement, and EvaluateSocial Activity
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p =.001
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p =.04
Day/Night Sleep Ratio (n = 139)
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Individualized social activity, when compared to a control condition Reduced excessive daytime sleep
More alert, active More involved in the world around them
More normal 24-hour sleep/wake rhythm
Richards KC, Beck C, O'Sullivan PS, Shue VM. Effect of Individualized Activity on Sleep in Nursing Home Residents with Demetia. J Am Geriatr Soc. 2005 53(9):1510-7
Conclusion
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• Clinical Trial – 194 participants – Determine the effect of
• 1) progressive resistance muscle strength training and walking
Critical characteristics: cognitive status and 1-repetition max• 2) individualized social activity• 3) combined progressive resistance muscle strength training, walking, and individualized social activity• 4) usual care control
– Primary Outcome Measure: Total Sleep Time
• Richards, K.C., Lambert C., Beck, C.K., Bliwise, D.L., Evans, W.J., Kalra, G. K., Kleban, M.H., Lorenz, R., Rose, K., Gooneratne, N., Sullivan, D. (2011) Strength training and walking exercise and social activity improve sleep. Journal of the American Geriatrics Society, 59: 214-223.
Effect of Activities and Exercise on Sleep in Dementia
RO1NR/AG07771
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Results : Effect of Activities and Exercise on Sleep in Dementia
Significant Pairwise comparison: Mean difference (Combined Group – Control) = 35.23; SE =13.72; p = .011
Adjusted means for Post-intervention Comparison of Total Sleep Time (minutes)
328.9
342.1 340.7
364.2
310
320
330
340
350
360
370
Control IndividualizedSocial Activity
(ISA)
PhysicalResistance
Training (PRT)
Combined ISA &PRT
AN
CO
VA
Ad
jus
ted
Me
an
s
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Results : Effect of Activities and Exercise on Sleep in Dementia
Significant Pairwise comparison: Mean difference (Combined Group – Control) = 4.77; SE = 2.015; p = .019
Adjusted Means for Post-intervention Comparison of Sleep Efficiency (%)
68.5
69.7
71.1
73.3
666768697071727374
Control IndividualizedSocial Activity
(ISA)
PhysicalResistance
Training (PRT)
Combined ISA &PRT
AN
CO
VA
Ad
just
ed M
ean
s
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Results : Effect of Activities and Exercise on Sleep in Dementia
Significant Pairwise comparisons: Mean difference (Combined Group – Control) = 32.64; SE = 12.19; p = .008 (Combined Group – ISA) = 31.52; SE = 11.93; p = .009 (Combined Group – PRT) = 28.11; SE = 11.69; p = .017
Adjusted Means for Post-intervention Comparison of NREM sleep (minutes)
293.8 294.9298.3
326.4
270
280
290
300
310
320
330
Control IndividualizedSocial Activity
(ISA)
PhysicalResistance
Training (PRT)
Combined ISA &PRT
AN
CO
VA
Ad
just
ed M
ean
s
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Understand: Obstructive Sleep Apnea
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Plan, Implement, and Evaluate: Mild Cognitive Impairment (MCI) and Obstructive Sleep Apnea
R01AG034682
• MCI is characterized by memory impairment but little or no decline in everyday function.• 60% of older adults with cognitive impairment
have OSA compared to only 7-18% of older adults in general population.• OSA causes:
• Hypoxia• Sleep fragmentation• Daytime sleepiness• Cognitive dysfunction• Brain Damage
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Specific Aims:
1) Estimate the effect size associated with active continuous positive airway pressure (CPAP) compared to sham CPAP on cognitive and everyday function in older adults with amnestic mild cognitive impairment and OSA.
We hypothesize that the active CPAP group will have significantly better cognitive and everyday function at 6 months than the sham CPAP group.
2) Estimate the effect size associated with CPAP treatment adherence,
controlling for OSA severity at baseline, neuroimaging evidence of pre-existing cerebrovascular disease and hypoxic ischemic brain injury, and previously identified demographic and other patient factors, on cognitive and everyday function after 1-year of active CPAP.
Plan, Implement, and Evaluate: Mild Cognitive Impairment (MCI) and Obstructive Sleep Apnea (OSA)
R01AG034682
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Plan, Implement, and Evaluate: Obstructive Sleep Apnea (OSA) and Mild Cognitive Impairment (MCI)
Sample: 110 older adults with amnestic mild cognitive
impairment (single or multiple domain) and moderate to severe obstructive sleep apnea
Design: Phase 1: 6 month double-blind placebo-controlled
randomized controlled trial Active Continuous Positive Airway Pressure (CPAP) Sham CPAP
Phase 2: 6 month open-label CPAP trial
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Plan, Implement and Evaluate: Obstructive Sleep Apnea (OSA) and Mild Cognitive Impairment (MCI)
Tailored CPAP adherence intervention Motivational Interviewing
Critical characteristics Transtheoretical Model Stage of Change Self-efficacy
Fidelity Manualized Competency validation Quarterly reassessment of competency
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