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Community Participation Indicators

Community Participation Indicators

Atomized Content

Purpose

The Community Participation Indicators (CPI) is a self-reported 48 item objective that measures two distinct subsets: 1) Importance and meaning, and 2) Control over participation.

Link to Instrument

Acronym CPI

Area of Assessment

Life Participation
Social Relationships
Activities of Daily Living

Assessment Type

Patient Reported Outcomes

Administration Mode

Paper & Pencil

Cost

Free

CDE Status

Not a CDE as of 5/1/2023

Key Descriptions

  • 48 item questionnaire
  • Paper format or conducted via phone or website
  • Evaluates two domains of community participation
    o Participation in activities found to be important
    o Control over participation

Number of Items

48

Equipment Required

  • pen/pencil and questionnaire
  • phone/computer for CAT-CPI administration

Time to Administer

10-15 minutes

Required Training

No Training

Required Training Description

Should be interpreted by a trained clinician.

Age Ranges

Adult

18 - 65

years

Elderly Adult

66 +

years

Instrument Reviewers

Chase Vilhauer, SPT, Allyn Tanner, SPT and Kenneth L Miller, PT, DPT, University of North Texas Health Science Center, Department of Physical Therapy 

Kevin Fearn, Shirley Ryan 嫩B研究院

ICF Domain

Participation

Measurement Domain

Activities of Daily Living
Cognition
Emotion

Considerations

Patient must be coherent and understand the questions for application to goal setting and progress.

Stroke

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Standard Error of Measurement (SEM)

Stroke: (Kersey J, Terhorst L, Hammel J, et al, 2022; n = 237)

  • Control subscale (n = 121; mean age = 61.2): 3.10
  • Importance subscale (n = 116; mean age = 60.7): 3.81

Minimal Detectable Change (MDC)

Stroke: (Kersey J, Terhorst L, Hammel J, et al, 2022)

  • Control subscale: 9
  • Importance subscale: 11

Minimally Clinically Important Difference (MCID)

Stroke: (Kersey J, Terhorst L, Hammel J, et al, 2022)

  • Control subscale: 6
  • Importance subscale: 7

Test/Retest Reliability

Stroke: (Kersey J, Terhorst L, Hammel J, et al, 2022)

  • Excellent test-retest reliability for Control subscale: (ICC = 0.91)
  • Excellent test-retest reliability for Importance subscale: (ICC = 0.91)

Criterion Validity (Predictive/Concurrent)

Concurrent validity:

Stroke: (Toglia et al., 2019; n = 99)

  • Adequate correlation between CPI (Engagement in Meaningful Activities) and Stroke Impact Participation subscale (Frequency) (rho = 0.54, p < 0.001)
    • The relationship was slightly stronger in those age 66 and older (rho = 0.55, p = 0.000) as compared to those age 65 and younger (rho = 0.44, p < 0.001)
  • Adequate correlation with CPI and Functional Discharge Level (FIM) for those age 66 and older (rho = 0.43, p < 0.001)

Responsiveness

Stroke: (Kersey J, Terhorst L, Hammel J, et al, 2022; n = 237)

  • MDC for Control subscale of 9 and MDC for Importance subscale of 11 led to achievement of statistically and clinically meaningful changes, suggesting adequate sensitivity to change.

 

Brain Injury

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Standard Error of Measurement (SEM)

TBI: (Kersey et al., 2021; n = 44; mean age = 49.0 (16.1); age range = 22-90)

  • Control Subscale: 2.90
  • Importance Subscale: 3.0

Minimal Detectable Change (MDC)

TBI: (Kersey et al., 2021)

  • Control Subscale: 8
  • Importance Subscale: 8

 

Minimally Clinically Important Difference (MCID)

TBI: (Kersey et al., 2021)

  • Control Subscale: 5
  • Importance Subscale: 5

 

Wheelchair Usage

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Criterion Validity (Predictive/Concurrent)

Predictive validity:

Wheelchair Usage: (Rice et al, 2019; n = 20; mean age = 47(13); 55% male)

  • Poor correlation between falls experience and items on Control subscale (r = 0.110)
  • Poor correlation between falls experience and items on Importance subscale (r = 0.000)
  • Poor correlation between lie time (following a fall) and items on Control subscale (r = -0.192)
  • Adequate correlation between lie time (following a fall) and items on Importance subscale (r = -.310)
  • Significantly lower CPI scores (mean = 56.70 (17.66) among participants who required assistance to recover compared to participants who were able to recover from a fall independently (mean = 88.93 (22.13), p < 0.05.

 

Pulmonary Diseases

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Criterion Validity (Predictive/Concurrent)

Concurrent Validity:

Pulmonary Diseases (COPD): Malaguti et al., 2021; n = 99 w/COPD; mean age = 67(9); 53% (n = 52) male; 27% lived in rural areas)

  • Poor negative correlation between CPI and HADS_Anxiety (r = -0.04)
  • Poor negative correlation between CPI and HADS_Depression (r = -0.16)
  • Poor correlation between CPI and Total Physical Activity (r = 0.28)
  • Poor correlation between CPI and Light Intensity Physical Activity (LIPA) (r = 0.26)
  • Poor correlation between CPI and Moderate-Vigorous Physical Activity (MVPA) (r = 0.27)

Predictive Validity:

Pulmonary Diseases (COPD): Malaguti et al., 2021)

  • Older age and moderate-vigorous physical activity were independent predictors of community participation, explaining 8% of the variance in CPI ratio score [F(2,85) = 4.51; p = 0.14; R2 = 0.075]

 

Multiple Sclerosis

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Test/Retest Reliability

Multiple Sclerosis: (Plow et al, 2015; n = 335; mean age = 53.0(10.2); 79.7% female)

  • Adequate test-retest reliability over a 2.5-month period (r = 0.84)

Construct Validity

Convergent validity:

Multiple Sclerosis: (Plow et al, 2015)

  • Significant (p < 0.01) correlations between Community Participation Ratio and:
    • Symptoms of Multiple Sclerosis Scale (r = -0.243)
    • Perceived Deficit Questionnaire (r = -0.354)
    • Stages of change for physical activity (r = 0.225)
    • Emotional management (r = -0.176)
    • Nutritional behaviors (r = 0.159)
    • Craig Hospital Inventory of Environmental Factors-Short Form (CHIEF-SF) (r = -0.308)
    • Self-efficacy self-management symptoms (r = 0.306)

Mixed Populations

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Construct Validity

Adequate correlations between subscales of the Enfranchisement scale of the community participation indicators and associated measures (Spearman’s Rho correlations, p < 0.05)

 

Associated measure

Control subscale

      (n = 391)

Importance subscale

         (n = 219)

Ability to participate

         0.56

             0.52

Social attitudes-facilitators

         0.44

             0.44

Social support

         0.49

             0.41

  • Adequate correlation with depression items on Importance subscale (r = 0.54)
  • Adequate correlation with system, services, policies items on Importance subscale (r = 0.50)

Bibliography

Kersey J, Baum CM, Hammel J, Terhorst L, McCue M, Skidmore ER. Cut points and sensitivity to change of the Enfranchisement scale of the Community Participation Indicators in adults with traumatic brain injury. PM & R: the journal of injury, function, and rehabilitation. December 2021.doi:10.1002/pmrj.12743   

Kersey J, Terhorst L, Hammel J, et al. Detecting change in community participation with the Enfranchisement scale of the community participation indicators. Clinical Rehabilitation. 2022;36(2):251-262.  

Kersey J, Terhorst L, Heinemann AW, et al. Construct validity of the enfranchisement scale of the community participation indicators. Clinical Rehabilitation. 2022;36(2):263-271.  

Malaguti C, Holland AE, McDonald CF, et al. Community Participation by People with Chronic Obstructive Pulmonary Disease. COPD: Journal of Chronic Obstructive Pulmonary Disease. 2021;18(5):533-540. doi:10.1080/15412555.2021.1966761   

Plow MA, Finlayson M, Gunzler D, Heinemann AW. Correlates of participation in meaningful activities among people with multiple sclerosis. Journal of rehabilitation medicine. 2015;47(6):538-545. doi:10.2340/16501977-1948

Rice LA, Peters J, JongHun Sung, Bartlo WD, Sosnoff JJ. Perceptions of Fall Circumstances, Recovery Methods, and Community Participation in Manual Wheelchair Users. American Journal of Physical Medicine & Rehabilitation. 2019;98(8):649-656. 

Toglia J, Askin G, Gerber LM, Jaywant A, O’Dell MW. Participation in Younger and Older Adults Post-stroke: Frequency, Importance, and Desirability of Engagement in Activities. Frontiers in neurology. 2019;10:1108. doi:10.3389/fneur.2019.01108