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1 n This product was by Research Triangle Institute International, External Evaluation Team of the Robert Wood Johnson Foundation Diabetes Initiative. Support for this product was provided by a grant from the Robert Wood Johnson Foundation® in Princeton, New Jersey.

This product was by Research Triangle Institute

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n This product was by Research Triangle Institute International, External Evaluation Team of the Robert Wood Johnson Foundation Diabetes Initiative. Support for this product was provided by a grant from the Robert Wood Johnson Foundation® in Princeton, New Jersey.

Measuring Resources and Support (RSSM) for

Self­Management of Diabetes Lauren McCormack, PhD, MSPH; Joe Burton, MS; Carla Bann, PhD;

Pam Williams­Piehota, PhD; Claudia Squire, MS; Doug Kamerow, MD, MPH; Ed Fisher, PhD; Russ Glasgow, PhD

Presented at the Society of Behavioral Medicine Conference, March 2006 Funded by the Robert Wood Johnson Foundation

3

Outline for the Presentation

n Overview of the Diabetes Initiative evaluation

n Development of the RSSM instrument

n Findings l Scores on RSSM scales l Relationship between RSSM and health behaviors

n Implications for future research

4

RTI’s Evaluation of the Diabetes Initiative

n Site Visits—in­person visits to 14 sites

n Longitudinal cross­site survey l Program participation, RSSM, health behaviors (smoking, diet and nutrition, physical activity, medical management), other measures

n Examination of enrollment and clinical data l Enrollment/disenrollment l Clinical measures (HbA1c, blood pressure, cholesterol)

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Chronic Care Model

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Development of the RSSM Instrument

n Maintained an ecological perspective and chronic care focus

n Reviewed existing instruments

n Tailored existing items, drafted new items

n Conducted two rounds of cognitive testing

n Gained input from NPO, RWJF, Advisory Panel

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Patient Assessment of Chronic Illness Care (PACIC)

n 26­item survey that provides a patient perspective on receipt of CCM­related chronic illness care

n PACIC subscales: l Patient activation l Delivery system/practice design l Goal setting/tailoring l Problem solving/contextual l Follow­up/coordination

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RSSM Subscales

n Collaborative goal setting

n Individualized assessment

n Quality of care/communication

n Learning skills

n Follow­up and support

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Cross­Site Surveys

n Wave 1 (Winter/Spring 2005) l N = 720 completes l Response rate = 70%

n Wave 2 (Winter 2006) l N = 957 of which ~1/2 were also in Wave 1

l Response rate = 68%

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Sample Characteristics: Wave 1

n Mean age = 56 years

n 70% female

n 54% were of Hispanic, Latino, or Spanish origin

n 45% of the sample had less than a high school education

n 49% reported their health status as fair or poor

n Mean of 10 years with diabetes

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Psychometric Properties of RSSM Scale

n Mean RSSM score = 3.95 (SD = 0.85)

n Overall alpha = 0.90

n Confirmatory factor analysis—5 factors l Scale correlations ranged from 0.42–0.74

n Alphas for subscales ranged from 0.70 to 0.84

n Subscales correlated with Hibbard’s Patient Activation scale (subset of items)

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Relationship Between RSSM and Patient/Program Characteristics

Program Type

3.85 3.82

4.43

3.47 3.68 4.01** 3.70***

4.59* 4.11***

3.88

0.00

1.00

2.00

3.00

4.00

5.00

Follow­Up and Support

Collaborative Goal Setting

Quality of Care Individualized Assessment

Skills

ADSM BCS

*p < .05, **p < .01, ***p < .001

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Results: Collaborative Goal Setting

42

69

89

92

0 20 40 60 80 100

Contact you between appointments

Check to see how you were doing with goals

Helped you make a plan

Set goals

Percentage Yes/Usually or Always

Contact you between appointments

Set goals

Check to see how you were doing with goals

Helped you make a plan

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Results: Individualized Assessment

46

70

71

0 20 40 60 80 100

Ask about your cultural traditions

Ask about what is important to you

Ask you questions about your health habits

Percentage Yes/Usually or Always

Ask about your cultural traditions

Ask about what is important to you

Ask you questions about your health habits

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Results: Quality of Care/Communication

84

90

0 20 40 60 80 100

Explain things so you could easily understand

Someone on your DCT listens to you carefully

Percentage Yes/Usually or Always

Someone on your DCT listened to you carefully

Explained things so you could easily understand

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Results: Learning Skills

57

70

82

0 20 40 60 80 100

Teach you how to deal with stress/feeling sad

Teach you how to deal with problems

Teach you how to take care of your diabetes

Percentage Yes/Usually or Always

Teach you how to deal with problems

Teach you how to deal with stress/feeling sad

Teach you how to take care of your diabetes

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Results: Follow­Up and Support

34

63

68

75

77

84

0 20 40 60 80 100

Talk/meet someone on your diabetes care team

Ask about problems with medications

Help you find support groups

Get the information that you needed from your DCT

Help you get medicines and other supplies

Schedule appointments

Percentage Yes/Usually or Always

Get the information that you needed from your DCT

Help you get medicines and other supplies

Talk/meet someone on your diabetes care team

Help you find support groups

Ask about problems with medications

Schedule appointments

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Path Diagram of RSSM as a Mediator of the Relationship between Patient and Program

Characteristics and Diabetes­Related Behaviors

Predictor Variables RSSM

Follow­Up and Support

Collaborative Goal Setting

Communication

Individualized Assessment

Skills

Diet and Nutrition

Program Participation

Physical Activity

0.17*

0.22*

0.51*

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Model Results

n The following groups reported significantly higher RSSM scores: l Hispanic origin l Having a personal doctor l “A lot” of self­reported knowledge of diabetes (vs. “nothing/a little”)

l More frequently talking to someone about feelings about having diabetes

l Higher patient activation l Higher fatalism l Never (vs. rarely) have difficulty understanding diabetes information

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Model results (cont.)

n The following groups reported significantly lower RSSM scores: l Older age l Other race (vs. white) l Income of $30,000­$49,999 (vs. <$10,000)

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Conclusions

n A promising new instrument with good psychometric properties

n Potential for broader application to other chronic diseases

n Could be tailored to primary care issues

n Consider expanding instrument to include other domains

22

Next Steps for Analysis

n Finalize wave 1 results

n Analyze wave 2 data

n Analyses using wave 1 and wave 2 cohort

n Merge on clinical data

23

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Contact Information

Lauren McCormack

[email protected]