HRA Management Report 2005
description
Transcript of HRA Management Report 2005
An Independent Licensee of the
Blue Cross Blue Shield Association
HRA Management Report 2005
2
Agenda
• Context for the program
• Background on the HRA report
• Major findings
• Interpretation of results
• Update on coaching activity
• The challenge ahead
• What’s needed next?
3
Health Cost Increases: The “Problem”
Another year of double-digit health cost increases
0%2%4%6%8%
10%12%14%16%
1990 1993 1995 1999 2000 2001 2002 2003 2004
Health Insurance Premiums Medical Inflation
Overall Inflation Workers Earnings
4
$1,160
$955 $955$906
$571 $568$520
$363
$1,931
$-
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
$1,800
$2,000
Depression HighGlucose
BMI >30 BMI >25 Stress Tobacco No Exercise High BloodPressure
HighCholesterol
Health risks push costs up!Yet preventable through lifestyle change
Average annual per capita excess health costs when risk is present.
Average annual per capita excess health costs when risk is present.
Goetzel, R et al. The Relationship Between Modifiable Health Risks and Health Care Expenditures, Journal of Occupational and Environmental Medicine. 1998;10:843-854
5
Effect of single risk factors
150%
140%
131%
118%
116%
0% 50% 100% 150% 200%
Mental Health
Back pain
Stressed
No Exercise
Obesity
Source: Serxner, S., et al., (2001). The impact of behavioral health risks on worker absenteeism. JOEM, 43(4), 347-354
Percent higher sick leave absenteeismPercent higher sick leave absenteeism
N = 35,451
6
Effect of single risk factors
255%
556%
836%
1243%
1989%
0% 500% 1000% 1500% 2000% 2500%
Low Life Satisf.
No Exercise
Poor Health
Smoking
Low OWS
Source: Musich, S., et. al., (2001, June). The Association of Health Risks with Workers’ Compensation Costs, JOEM,, p. 534-541.
Percent higher Workers’ Comp costPercent higher Workers’ Comp cost
N = 3,388 X 4 years
7
Effect of multiple risk factors
8.1
3.72.8
1.81.0
0123456789
0 1 2-3 4-5 6+
Multiples of annualhealth care costscompared to someonewith no health risks
Number of Health Risks
Mu
ltip
les
Source: Yen, Louis, et al., (1991, Sept/Oct). Associations between health risk appraisal scores and employee medical claims costs in a manufacturing co., AJHP, 6(1), p. 46-54.
Multiples of Annual Health Plan CostMultiples of Annual Health Plan Cost
N = 1,838
8
Preventable claims costGroup Level health care expenditures
75%
25%
Not Related
Preventable
Source: Anderson, et. al., (2000, Sept/Oct). The Relationship Between Modifiable Health Risks and Group-Level Health Care Expenditures, AJHP, 15(1), p. 45-52.
DepressionStressBlood SugarSmokingObesityBlood PressureSedentary Life
N = 46,026 X 6 years
9
Wellness has evolvedROI goals determine model
10
Summex Health ManagementStrategic approach
Control costs by reducing risks
• Maximize HRA participation• Identify health risk cost
drivers• Reduce risks through
coaching for behavior change• Incent people for wellness• Keep low risk low• Measure outcomes• Determine ROI
11
University of Alaska The THAW Program
1. Tri-Fold brochure sent to participants homes
2. Mayo Clinic Self-Care Guide sent to participant homes
3. Deploy Online HRA4. Paper HRAs sent to all non-participants5. Incent HRA ($100 Benefit Credit)6. HTML EMAIL Weekly Campaign 7. Enroll into IMPACT™ and IMPACT™ MR
12
• Participation – 2,927 HRA Participants = 45.7%
Participation Rate • 58.4% of Participants were Female
• 41.6% of Participants were Male
• 26.3% of Participants were spouses
• 73.7% of Participants were employees
• 28% were paper
• 72% were online
University Of Alaska HEALTH MONITOR™ HRA
45.7%54.3%
HRA
No HRA
13
Risk Status of HRA Completers
54.3%45.7%
HRA
No HRA
24.3%
26.0%
49.7%
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
Risk Status
High
Moderate
Low
N = 2,927
N = 6,399
14
Risk status of HRA completers
24.3%
26.0%
49.5%
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
Risk Status
High
Moderate
Low
Total Eligible = 6,399
N = 2,927
<76.3
76.4 to 80.4
>80.5
(1,449)
(764)
(714)
15
Are HRA participants healthier?
$406.50 $408.64
$0
$50
$100
$150
$200
$250
$300
$350
$400
$450
2005*
HRA Group
All UoA
Per Member Per Month (PMPM)
Source: Premera, Knowledge Services
* = 7/1/2004 to 6/30/2005
16
55.6%
44.4% 45.6% 47.7%
0.0%
20.0%
40.0%
60.0%
% o
f c
am
pu
s p
art
icip
ati
on
Campus Breakdown
Campus HRA Participation
SW UAA UAF UAS
17
University of Alaska Multiple Risk Factor Prevalence
18
Cost of Multiple Risk Factors Multiple risks multiply costs
8.1
3.72.8
1.81.0
0123456789
0 1 2-3 4-5 6+
Multiples of annualhealth care costscompared to someonewith no health risks
Source: Yen, Louis, et al., (1991, Sept/Oct). Associations between health risk appraisal scores and employee medical claims costs in a manufacturing co., AJHP, 6(1), p. 46-54.
Number of Risks
Mu
ltip
les
19
Overall Wellness Score (OWS)Risk Factors Used in OWS
• Aerobic• BP• Weight• Stress• Fat• Cholesterol• Alcohol• Lift• DUI• Seatbelt• Speed• Screen• Self Care• Depression• Pre-Diabetes• Tobacco• Multi-CVD• Multi-Stroke• Multi-Psych
20
Overall Wellness Score
Average OWS
70
72
74
76
78
80S
W
UA
F
UA
S
UA
A
U o
f A
KT
otal
Sum
mex
Dat
abas
e
OW
S
21
Overall Wellness ScoreComparison of U o A with Summex database
0
510
1520
2530
3540
45
<75 75-79 80-84 85-89 90-100
Overall Wellness Score
% P
artic
ipan
ts U of AK
Database 2004
22
Identifying your “low hanging fruit”
• Intervention Opportunity Index (IOI)• Located on page 27 & 28 of
the management report• “Low hanging fruit”
• The IOI ranks your organization’s top risk factors based on:
• Your risk prevalence• Your excess costs• Your readiness to change
• Your top “3” IOIs• CVD prevention• Physical inactivity• Stress
23
#1 IOI Target:Cardiovascular Disease Prevention
24
Cardiovascular Disease RisksParticipants with multiple risks
25
#2 IOI Target:Inactivity
26
University of Alaska Weight management
27
#3 IOI Target:Stress management
P roblems w ith Stress
68.967.7
6061626364656667686970
U of AK Summex Database
Perc
enta
ge a
t Ris
k
Stress A ffec ts Health
40.236.9
202224262830323436384042
U of AK Summex Database
Perc
enta
ge a
t Ris
k
28
University of Alaska Readiness to change profile
29
pre-contemplation
contemplation
preparation
action
maintenance
Risky behavior
Permanent behavior change
IMPACTTM Stages of Change
• Pre-contemplation
• Contemplation• Preparation• Action• Maintenance• Termination
termination
High-risk individuals will change health behaviors given the right coaching at the right time.
30
• Engaging
• Lifestyle-focused
• Goal-oriented
• Personal
• Confidential
• Supportive
IMPACTTM
Personal health coaching
“About 40% of high risk move out of high risk the first year of coaching.”
31
• Welcome Kit or Physician Letter
• Telephone & mail-based counseling
Impact: Up to 12 counseling sessions per year
Impact MR: Up to 6 counseling sessions per
year
Stage-of-change protocol
• Personal health journal
• Integration of health resources: EAP, DM, worksite
activities
• HEALTHSTAGESTM
change guides
• Quarterly management reports
IMPACTTM and IMPACTTM MRPersonal health coaching
32
IMPACT™• 1,189 enrolled (82.0%)
IMPACT™ MR• 440 enrolled (57.6%)
As of February 1, 2006
Current IMPACTTM Program Personal
health coaching
33
What needs to happen now
• Statewide is not driving the site-based wellness activity, so…
• Each campus needs to organize for wellness and…
• Then focus on the IOIs– CVD prevention– Inactivity– Stress
34
Virtual and site-based wellness: Options for University of Alaska
VirtualVirtual
Site-basedSite-based
++ ++ ++ ++ ++ ++
35
• CVD prevention?– Cholesterol?– Blood pressure?– Weight management?– Tobacco use?– Nutrition?
• Inactivity?
• Stress?
What can be done?
36
Summary of Key Points• Health risks drive a large proportion of your health
costs.• You have made an excellent start! (45.7%)• The infrastructure for measurement and
intervention with individuals is in place.• Awareness and coaching are usually required for
behavior change.• There is much that can be done at each location.• Each location must organize and conduct
programming and help create healthy cultures.• Volunteers are available.• Site leadership is needed.• Wellness produces benefits and value for
everyone.
37
Questions