Community Integration Measure (CIM)

Author(s):  
McColl ◽  
Davies ◽  
Carlson ◽  
Johnston ◽  
Minnes
2014 ◽  
Vol 95 (4) ◽  
pp. 734-740 ◽  
Author(s):  
Scott R. Millis ◽  
Sarah-Jane Meachen ◽  
Julie A. Griffen ◽  
Robin A. Hanks ◽  
Lisa J. Rapport

2017 ◽  
Author(s):  
Ai Shioda ◽  
Etsuko Tadaka ◽  
Ayako Okochi

2010 ◽  
Author(s):  
Manuel J. Sanchez-Franco ◽  
José L. Roldán

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Tai-Wa Liu ◽  
Shamay S. M. Ng ◽  
Gabriel Y. F. Ng

Objectives. To (1) translate and culturally adapt the English version Community Integration Measure into Chinese (Cantonese), (2) report the results of initial validation of the Chinese (Cantonese) version of CIM (CIM-C) including the content validity, internal consistency, test-retest reliability, and factor structure of CIM-C for use in stroke survivors in a Chinese community setting, and (3) investigate the level of community integration of stroke survivors living in Hong Kong.Design. Cross-sectional study.Setting. University-based rehabilitation centre.Participants. 62 (n=62) subjects with chronic stroke.Methods. The CIM-C was produced after forward-backward translation, expert panel review, and pretesting. 25 (n=25) of the same subjects were reassessed after a 1-week interval.Results. The items of the CIM-C demonstrated high internal consistency with a Cronbach’sαof 0.84. The CIM-C showed good test-retest reliability with an intraclass correlation coefficient (ICC) of 0.84 (95% confidence interval, 0.64–0.93). A 3-factor structure of the CIM-C including “relationship and engagement,” “sense of knowing,” and “independent living,” was consistent with the original theoretical model. Hong Kong stroke survivors revealed a high level of community integration as measured by the CIM-C (mean (SD): 43.48 (5.79)).Conclusions. The CIM-C is a valid and reliable measure for clinical use.


2005 ◽  
Vol 20 (2) ◽  
pp. 139-148 ◽  
Author(s):  
Timothy A. Reistetter ◽  
Jean C. Spencer ◽  
Leonard Trujillo ◽  
Beatriz C. Abreu

2001 ◽  
Author(s):  
Mary Ann McColl ◽  
Diane Davies ◽  
Peter Carlson ◽  
Jane Johnston ◽  
Patricia Minnes

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