2,063
Views
6
CrossRef citations to date
0
Altmetric
Original Article

The Child and Adolescent Scale of Environment (CASE): Further validation with youth who have chronic conditions

&
Pages 375-382 | Received 06 Aug 2013, Accepted 10 Oct 2013, Published online: 04 Dec 2015

Abstract

Objective: To further validate the Child and Adolescent Scale of Environment (CASE).

Methods: Baseline data (n = 430) were analyzed from a longitudinal study on quality of life for youth with chronic conditions ages 11–17 in Ontario, Canada. Internal consistency and structure, and convergent and discriminant validity were examined via Cronbach’s alpha (α), exploratory factor analyses, correlation analyses and ANOVA.

Results: The CASE had high internal consistency (α = 0.89). A three-factor solution was produced with 55% variance explained: (1) Community/Home Resources, (2) School Resources and (3) Physical Design/Access). CASE total and factor scores were significantly correlated with scores from measures of impairment and participation (i.e. youth with more problematic environments had more severe impairment and more restricted participation). Significant differences in CASE scores existed for primary condition and impairment severity, but not for age or gender.

Conclusion: Results provide additional CASE validation evidence. Further testing is needed with more diverse and representative samples.

Introduction

Physical, social and attitudinal features of the environment have an impact on the participation of children and youth with chronic conditions and disabilities across home, school and community contexts [Citation1–6]. Environmental factors are categorized into five broad domains in the World Health Organization’s International Classification of Functioning, Disability and Health (ICF) and the more recent child and youth version (ICF-CY) [Citation7, Citation8]: (1) products and technology; (2) natural environment and human-made changes to environment; (3) support and relationships; (4) attitudes; and (5) services, systems and policies. Each of these broad domains consists of a number of sub-domains of environmental factors that could act as facilitators or barriers to the child’s participation in activities.

Anaby and colleagues [Citation1] recently conducted a scoping review of the effects of environmental factors on participation of children and youth with chronic conditions/disabilities and identified that each of the five broad ICF domains influenced participation in some way as both a facilitator and barrier. More environmental barriers than facilitators were reported in the studies reviewed with the most common barriers being negative attitudes, followed by inaccessible physical environments and inadequate or lack of services, policies and support from staff or service providers. The most common facilitators were social support from family and friends followed by geographic location (i.e. the policies, resources and opportunities associated with home, community or country of residence). Anaby and colleagues also found that most studies focused on children ages 6 to 12 with physical conditions/disabilities and recommended that more research was needed on children with other conditions/disabilities who were older or younger than the 6 to 12 year age range.

Recent reviews have identified strengths and limitations of measures of environmental factors for use with children and youth with chronic conditions and disabilities in terms of coverage of the ICF domains, practical utility and/or psychometric evidence [Citation9, Citation10]. The Child and Adolescent Scale of Environment (CASE) [Citation11] is one promising environmental measure identified in these reviews. Reported strengths of the CASE are that it is brief but has good overall coverage of the five ICF environmental domains; is easy to complete and score (no formal training is required); is free to use; has evidence of reliability and validity; and was developed specifically to assess environmental factors affecting children and youth [Citation9, Citation10]. A key criticism of the CASE is that most psychometric evidence comes from studies on children and youth with traumatic and other acquired brain injuries rather than a broad range of potentially disabling conditions.

The purpose of this study was to further examine the validity of the CASE for Canadian youth aged 11–17 years with a broad range of chronic conditions. There were four research aims:

  1. To examine the internal structure of the CASE through exploratory factor analyses.

  2. To examine the internal consistency of the CASE and the CASE factor subscales that were informed by the components extracted from exploratory factor analyses.

  3. To examine the convergent validity of the CASE scores and CASE factor scores through correlation analyses with scores from the Child and Adolescent Scale of Participation (CASP) and Child and Adolescent Factors Inventory (CAFI) [Citation11–14].

  4. To examine the discriminant (known-groups) validity of the CASE total score and CASE factor scores through analyses of group differences according to primary chronic condition and impairment severity.

  1. We hypothesized that youth in our sample with primary conditions that are more often associated with greater physical and/or social problems would have significantly higher CASE scores than youth with conditions that are less often associated with these environmental problems.

  2. We also hypothesized that youth with more severe impairment in cognitive, physical and psychological functioning, regardless of primary health condition, would have significantly higher CASE scores than youth with less severe impairment in these areas.

Methods

Recruitment and data collection

The research presented in this article was approved by the institutional review boards of authors conducting this study. Baseline data were examined from an ongoing longitudinal prospective cohort study examining predictors of changes in quality of life for youth with chronic conditions [Citation15, Citation16]. Data were collected on a random sample of 430 Canadian youth aged 11–17 with various chronic conditions. Youth and their parents were recruited from eight children’s treatment centers in the province of Ontario. Youth had one or more chronic conditions ().

Table I. Sample characteristics and CASE scores: Descriptive statistics.

Baseline data collection occurred in the respondent’s home or in a private office at the youth’s treatment center according to the parent’s and youth’s preferences. Interviewers obtained written informed consent in person from youth and parents just prior to conducting the baseline assessment. Only data collected from the parent report measures were examined in this study. The parent questionnaire that included the CASE, CASP and CAFI was self-completed (30–60 minutes), most often by the youth’s mother, in a separate room from the youth [Citation15, Citation16]. These three measures (described next) were initially developed as part of the Child and Family Follow-up Survey (CFFS), a parent-report measure used to monitor outcomes and needs of children with traumatic and other acquired brain injuries (TBI/ABI) and their families [Citation12–14, Citation17, Citation18] and subsequently have been used to assess children with other conditions and disabilities [Citation12, Citation15, Citation19].

Measures

Child and Adolescent Scale of Environment

The CASE [Citation11] is an adaptation of the Craig Hospital Inventory of Environmental Factors (CHIEF) [Citation20], an instrument initially designed to assess the frequency and impact of environmental barriers experienced by adults with disabilities. Items from the CHIEF were modified and additional items were developed to create the CASE for use as a parent-report measure to assess children and youth with ABI and other chronic conditions and disabilities.

The CASE consists of 18 items that ask parents/guardians only about the impact (not frequency) of problems that their child directly or indirectly encounters with physical, social and attitudinal environment features of the child’s home, school and community and problems with the quality or availability of services or assistance that the child receives or might need. The list of CASE items with shortened names is presented later in . The actual item names have more description and often include examples. For example, item 1, “Home: Physical design”, is short for “Problem with design and layout of home (Hard to get to places and things, or hard to see or hear important information)” and item 7, “Community: Attitudes” is short for “Problems with people’s attitudes toward your child in the community or neighborhood”.

Table II. Results from factor analyses.

Each CASE item or problem is rated on a 3-point scale: 1 = No problem; 2 = Little problem; 3 = Big problem. There are a number of ways to score the CASE depending on the purpose of the project or research being conducted [Citation11]. For this study, a simple sum of the items was used to compute the total CASE score (with possible score ranges from 18 to 54) as well as the CASE factor subscale scores that were informed by factor analyses (described later in the results). Higher scores indicate a greater impact of environment problems or overall, a more problematic environment.

The CASE has reported evidence of test--retest reliability [intraclass correlation coefficient (ICC) = 0.75], and internal consistency (Cronbach’s α = 0.84 and 0.91) [Citation2, Citation9, Citation11, Citation13]. With respect to construct validity, higher CASE scores were significantly associated with lower participation scores on the CASP, with lower functional skills scores on the Pediatric Evaluation of Disability Inventory (PEDI) [Citation21], and with higher impairment scores on the Child Adolescent Factors Inventory (CAFI) [Citation2, Citation9, Citation11–14]. More recent analyses demonstrated that as a group, children with chronic conditions/disabilities had significantly higher CASE scores than children without identified chronic conditions/disabilities [Citation11].

Initial results from factor analyses and Rasch analyses suggested that the CASE is best viewed as an inventory of environmental factors or a multidimensional scale rather than a unidimensional scale [Citation13]. More recent factor analyses identified four main factors that explained 58% of the variance: (1) problems associated with home/community (includes inadequate information, problems with government policies); (2) school-related problems (support, assistance, services, equipment, attitudes); (3) problems with physical design of school, home and community; and (4) other family/neighborhood problems (family stress, problems with finances, inadequate transportation and neighborhood crime/violence) [Citation9, Citation11].

Child and Adolescent Scale of Participation

The CASP [Citation11–14] was initially designed as a parent/guardian report measure to assess the extent to which children and youth participate in home, school and community activities in comparison to same-age children and youth. The 20 items of the CASP are rated using a 4-point scale (4 = age expected/full participation; 3 = somewhat limited; 2 = very limited; 1 = unable), or scored as “not applicable” (i.e. for younger children). The “not applicable option” was not needed for this sample because all items pertained to youth aged 11–17 [Citation16]. For this study, a simple sum of the items was used to compute the total CASP score (with possible score ranges from 20 to 80). A higher score on the CASP represents a greater extent of participation.

The CASP has reported evidence of inter-rater reliability (ICC = 0.95), internal consistency (α = 0.96) and construct validity [Citation2, Citation12–14]. A recent study examined the psychometric properties of a new youth-report version of the CASP and the original parent-report version using the same data set that was evaluated in this study [Citation15]. The results indicated that the parent-report CASP (i.e. the version used in this study) had somewhat higher internal consistency (Cronbach’s α = 0.96) than the youth-report CASP (Cronbach’s α = 0.87). Fairly high internal consistency was also found for the three CASP factor subscales that were informed by factor analyses of the parent-report CASP: 1) social, leisure and communication (α = 0.90); 2) advanced daily activities (α = 0.86); and 3) basic daily activities and mobility (α = 0.89).

Internal consistency for the CASP factor subscales was also somewhat higher for the parent-report CASP than the youth-report [Citation16]. We examined only the parent-report CASP scores in this research. This also allowed us to keep all comparisons across measures to parent report (including the CAFI which is described next).

Child and Adolescent Factors Inventory

The CAFI [Citation12, Citation13] consists of a list of 15 problems or impairments related to health and cognitive, physical and psychological functioning. Similar to the CASE, each item or problem is rated on a 3-point ordinal scale: 1 = No problem; 2 = Little problem; 3 = Big problem. For this study, a simple sum of the items was used to compute the total CASP score (with possible score ranges from 15 to 45). A higher score on the CAFI indicates a greater extent of impairment.

The CAFI has reported evidence of test--retest reliability (ICC = 0.68), and internal consistency (α = 0.86) and construct validity [Citation2, Citation12–14]. Results from initial factor analyses and Rasch analyses suggest that the CAFI is best viewed as an inventory of child-related impairments rather than a unidimensional scale [Citation12–14].

Data analyses

Descriptive statistics [mean (M), standard deviation (SD), frequency and ranges) were used to examine demographics and CASE summary scores. Exploratory factor analyses with varimax rotation and Kaiser normalization were used to assess the internal structure of the CASE. Cronbach’s alpha was used to assess the internal consistency of the CASE as well as the CASE factor subscales that were created based on the components extracted from factor analyses. Correlation analyses using Pearson’s product moment correlation coefficients (r) assessed convergent validity of the CASE by examining CASE score associations with CASP and CAFI scores.

Analysis of variance (ANOVA) was used to assess discriminant (known-groups) validity of the CASE by examining group differences in CASE total and factor subscale scores according to primary chronic condition and impairment severity. When a statistically significant difference was found, a Scheffés post hoc comparison test was used to further examine where specific differences existed among condition groups and impairment severity categories. The effects of youth age and sex on CASE scores were also examined via ANOVA to determine whether they needed to be controlled for when analyzing group differences related to primary condition and impairment severity.

To examine known-groups validity for impairment severity, regardless of the type of primary condition, we selected three items from the CAFI that each represented common but different types of impairments often experienced by youth with chronic conditions/disabilities: “Problem solving/Judgment” (Cognitive impairment); “Movement (e.g. balance, coordination, muscle tone)” (Physical impairment); “Psychological (e.g. anxiety, depression)” (Psychological impairment).

Results

Participant characteristics

Youth age, sex and chronic condition group demographic data and corresponding CASE scores are presented in . The mean age of youth was 14 years (SD = 2.2). Eleven-year-olds comprised the largest age group. There were slightly more males (55%) than females, and cerebral palsy was the largest condition group (n = 149, 35%). In terms of CASE scores, there were no statistically significant group differences for age (F = 0.663, p = 0.68) or sex (F = 2.102, p = 0.15), and thus these variables were not controlled for in later analyses.

Parents’ average age was 45 years (SD = 6.5), with more female (88%) than male parents. Eighty-three percent of parent respondents were birth mothers, 10% were birth fathers, 4% were adoptive mothers and 3% were another type of relationship (e.g. stepfather, grandmother). English was spoken in 90% of families’ homes, French in 2% and various other languages in 8% of homes.

Internal structure and consistency

The results from exploratory factor analysis produced a three-factor solution in five iterations contributing approximately 55% of the explained variance: (1) Community and Home Resources; (2) School Resources; and (3) Physical Design and Access (). More items (i.e. 11 out of 18) loaded (>0.30) on the first factor. Also, six items loaded (shared variance) on two factors (i.e. School Physical design; Community/Home Support; Community Attitudes; Assistive Equipment; Community/Home Assistance; School Programs/Services).

Internal consistency of the 18-item CASE was high (Cronbach’s α = 0.893). Three CASE factor subscales were created based on the results of the factor analyses and their item content when items loaded fairly equally on more than one factor (i.e. item 7. Community Attitudes, see ). The first factor subscale, Community/Home Resources, included nine items (4, 7, 9, 13–18) and had moderately high internal consistency (α = 0.853). Scores on this scale could range from 9 to 27. The second factor subscale, School Resources, included four items (5, 6, 10, 12) and had moderately high internal consistency (α = 0.846). Scores on this scale could range from 4 to 12. The third factor subscale, Physical Design/Access, included five items (1, 2, 3, 8, 11) and had moderate internal consistency (α = 0.756). Scores on this scale could range from 5 to 20.

Convergent validity

The CASE total and factor scores were significantly correlated (p ≤ 0.001) with the CAFI and CASP scores (see ), and these correlations were in the expected directions. Specifically, positive correlations were found between CASE and CAFI scores indicating that, on average, youth with a greater extent of environmental problems also had a greater extent of impairment. Negative correlations were found between the CASE and CASP scores indicating that youth with a greater extent of environmental problems also had a lesser extent of (or more restricted) participation. Overall, the CASE total score and CASE Community/Home Resources factor score had stronger (moderate) associations (r> ± 0.50) with the CAFI and CASP scores than did the CASE School Resources and Physical Design/Access factor scores. One exception to this pattern was the moderate association (r = –0.58) found between the CASE Physical Design/Access factor score and the CASP Basic Daily Living/Mobility factor score.

Table III. Results from correlation analyses.

Discriminant (known-groups) validity

The results from ANOVA identified significant CASE score differences related to primary chronic condition group () and impairment severity category (). Due to multiple comparisons, Bonferroni corrected significance levels were set at p ≤ 0.0125 for disability (p ≤ 0.05 divided by the four comparison tests) and p ≤ 0.004 for impairment severity (p ≤ 0.05 divided by the 12 comparison tests).

Table IV. Differences in CASE scores: Primary chronic condition group.

Significant condition group differences were found for all CASE scores except for the School Resources factor score (). As can be seen in , the overall pattern of post hoc differences that were significant or approached significance (p = 0.001 to 0.08) for all CASE scores was very similar to the pattern of CASE total score differences shown in . For example, there was a 6- to 7-point difference in mean (M) CASE total scores between youth expected to have lower and higher scores: Youth with cleft palate/lip (M = 20.35) and amputations (M = 20.29) had lower CASE total scores, and youth with cerebral palsy (M = 26.96), autism spectrum disorders (M = 28.03) and spina bifida (M = 27.44) had higher CASE total scores.

Significant (p ≤ 0.004) differences for cognitive, physical and psychological impairment severity were found for all CASE scores except for the CASE Physical Design/Access factor score in relation to cognitive and psychological impairment (). An overall pattern of significant (p ≤ 0.05) post hoc differences were found for most CASE scores with youth with less severe impairment having lower CASE scores than youth with more severe impairment. As expected, significant score differences were found between the youth grouped in nonadjacent impairment severity categories (i.e. “no problem” and “big problem”). Mean score differences between these two groups ranged between 5 and 7 points for CASE total scores and between 1 to 4 points for CASE factor scores. Significant (p ≤ 0.05) score differences were also found in many of the post hoc comparisons between youth grouped in adjacent impairment severity categories with mean CASE score differences ranging from 1 to 4 points.

Table V. Differences in CASE scores: Impairment severity category.

Discussion

The purpose of this research was to further validate the CASE with a large sample of Canadian youth with a range of chronic conditions. There was an accumulation of validity evidence reported. Similar to prior research, the internal consistency of the CASE was high [Citation2, Citation11, Citation13]. Results from factor analyses demonstrated an interpretable three-factor structure that contributed a large proportion of variance explained. Additionally, the three-factor subscales had moderate-to-high internal consistency, suggesting that they have the potential to be good estimates of three dimensions of the environment measured by the CASE.

The factor structure found in this study was similar to the four-factor structure found in prior research that included a large proportion of children with acquired brain injuries [Citation11, Citation13, Citation14]. The key difference is that the first factor in this study, “Community/Home Resources” included three of the four items included in the fourth factor from the prior study, “Other family/neighborhood problems”. Interestingly, these three items (family stress, finances and neighborhood crime/violence) were developed specifically for the CASE to represent broader familial and societal problems that might affect participation of children and youth with and without chronic conditions. It is unclear which of the factor solutions would be more useful in research and practice. An advantage to the prior four-factor solution is that it keeps these three items separate from the other community/home resources items. Whereas, an advantage to the three-factor solution is that it might be more efficient for use in studies that do not require this level of specificity or that can only examine a reduced set of variables/scores due to statistical power constraints. Future research with a larger and more representative sample of youth with chronic conditions using confirmatory factor analysis and other methods such as structural equation modeling might offer additional insights here [Citation22].

The pattern of associations found between the CASE scores and scores from the CASP and CAFI provided evidence of convergent validity. Similar to others studies, youth with higher CASE scores (more problematic environment) had lower CASP scores (less extent or more restricted participation) and higher CAFI scores (more severe impairment) [Citation2, Citation11–14, Citation17, Citation18]. Additionally, the magnitude of the correlations among CASE scores and other scores provided further validity evidence. For example, it is likely that the CASE total score and CASE Community/Home Resources factor score had stronger (i.e. moderate) associations with the other scores because these two CASE scores had more items and thus greater coverage of environmental factors. Moreover, the similar moderate association found between the CASE Physical Design/Access factor score and the CASP Basic Daily Living/Mobility factor score was validating given that youth who experience physical design/access problems would likely have more restricted participation in activities that require greater physical functioning [Citation1, Citation5, Citation6].

This was the first study to comprehensively examine discriminant validity of the CASE in children or youth with a range of chronic conditions. Significant differences in CASE scores existed for condition and impairment severity, but not for age or gender. In one study, Bedell [Citation11] found significant CASE total score differences in between children and youth with chronic conditions (the majority had an ABI) and children without conditions, but did not examine age, gender or impairment. Chen and Bedell [Citation23] also found CASE total score differences according to type and severity of impairment in children and youth with ABI with children with no or less severe physical, cognitive and psychological impairments having lower CASE scores than children with more severe and multiple impairments.

The post hoc comparison tests provided further discriminant validity evidence. Youth with conditions who were expected to have greater physical and social environmental problems due to greater physical and social impairment (e.g. cerebral palsy, autism spectrum disorder, spina bifida), had higher CASE scores than youth who were expected to have less environmental problems (e.g. cleft lip/palate, amputation). The 5- to 7-point difference found in mean scores between these groups reflects a potentially clinically important difference (i.e. a difference in impact on at least three environmental problems) given that each CASE item is rated on a 3-point scale. However, these results should be viewed with caution given the unequal representation of chronic conditions in the sample.

One plausible explanation for why the post hoc comparison tests for the CASE School Resources factor score were not significant for condition is that schools often provide a range of environmental accommodations and services to support all students’ participation in the least restrictive environment regardless of type of primary condition. Another explanation is that the School Resources factor score had the fewest number of items and may not have been sensitive enough to detect significant condition group differences.

Overall, significant (p ≤ 0.004) differences in CASE scores were found in relation to severity of cognitive, physical and psychological impairment. The only exception here was that there were no significant differences found on the CASE Physical Design/Access factor score for youth with cognitive (problem solving/judgment) and psychological (e.g. anxiety and depression) impairment. This result was validating because physical design/access is not often identified as a problem affecting youth with cognitive or psychological impairment [Citation2, Citation13, Citation14, Citation17, Citation18]. Post hoc differences were found for all other CASE scores with youth with less severe impairment generally having lower CASE scores than youth with more severe impairment. As anticipated, except for the prior noted exception, youth with no cognitive, physical or psychological impairment consistently had significantly lower CASE scores than youth with the most severe impairments in these three areas. Mean differences in CASE scores between these two groups ranged between 1 and 5 points, with a greater magnitude of difference found in scales with the most items (CASE Total and CASE Community/Home Resources).

Limitations and future research directions

Although the results are promising, there were study design features that limited their generalizability and definitive conclusions that could be made about them. For example, there were unequal numbers of youth represented in each of the nine chronic conditions, reduced power to potentially detect significant post hoc differences among these nine groups of youth, and lack of data on race, ethnicity and socioeconomic status. Also, the majority of the youth had cerebral palsy and was mainly from English-speaking families living in Ontario, Canada. Thus, further testing with more diverse and representative samples is needed.

Additionally, the study did not examine the test--retest reliability of the CASE in this study given that this was not the focus of the larger study. In previous research, the CASE total score was shown to have moderately good test--retest reliability [Citation11–13]. However, more research is still needed to assess the relative stability of all CASE scores in children and youth with disabilities to have greater confidence that changes in scores over time or after intervention are a reflection of actual changes in the physical, social and attitudinal environment (i.e. responsiveness). Another potential limitation in this study is that the correlations among the CASE, CASP and CAFI scores (i.e. evidence of convergent validity) might have been inflated due to shared method variance given that they were completed as part of a single assessment schedule. Thus, future research is needed to assess correlations between CASE scores and scores from other environmental measures (i.e. concurrent validity evidence).

The CASE only provides quantitative ratings that reflect environmental barriers and even though the CASE includes open-ended questions asking families to report on environmental supports and strategies, ratings for environmental supports are not provided. Therefore, stakeholders interested in obtaining quantitative ratings on environmental supports would need to consider other promising measures that assess environmental supports or both supports and barriers [Citation1, Citation9, Citation10, Citation24, Citation25].

Finally, because the CASE is completed by parents or primary guardians, the scores reported in this study only reflect parent perspectives. It is likely that the perspectives of youth would differ somewhat from their parents [Citation4, Citation16]. Even though it is recommended that parents consider their youth’s perspectives, parents probably differed in the extent to which they did this in this study. Future research with the CASE might include providing more explicit guidelines to parents for inclusion of the youth’s perspective and/or developing a youth-report version of the CASE similar to what was done with the CASP [Citation16]. Having the perspectives of the parent and youth, as well as other key people involved in the youth’s life, would likely result in a more consistent and collaborative approach for addressing environmental factors to support the participation of youth with chronic conditions and disabilities [Citation4, Citation16].

Conclusions

The accumulation of validity evidence found in this study as well as prior research findings [Citation2, Citation11–14, Citation16–18] suggests that the CASE is a promising measure for youth with a range of chronic conditions. Further psychometric testing is suggested to confirm the three-solution factor structure found in the study, assess test--retest reliability and examine the responsiveness of the scores over time. Also, future testing is needed to show whether the CASE total and CASE factor scores are useful across more diverse and representative samples in terms of chronic condition/disability, race, ethnicity, socioeconomic status and geographic location.

Clinicians and researchers will need to consider which CASE scores (total, subscale or item-level) to use based on the level of specificity and statistical power needed for their clinical and research needs. In addition to the three-factor subscale scores described, stakeholders might consider creating other subscale or composite scores guided by their own information goals, for example, combining items that are specific to a setting or one of the five ICF environmental domains [Citation13, Citation14, Citation23, Citation26]. Finally, and importantly, future research is needed to understand how scores from the CASE (and other measures) inform decisions to support meaningful participation of youth with chronic conditions and disabilities and to know whether these scores are responsive to interventions or policies that target the physical, social and attitudinal environment [Citation1, Citation4, Citation9, Citation10].

Acknowledgments

Authors acknowledge Dr. Virginia Wright (study co-investigator) for reviewing this manuscript and providing editorial suggestions. We also thank Dr. Linda Miller (study co-investigator) and Ms. Megan Nichols (study project coordinator) for their contributions to the larger study. Appreciation is extended to all youth, families, research assistants, study interviewers and collaborators who are participating in the larger study.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this paper.

This research was supported by a grant (#191232) from the Canadian Institutes of Health Research.

References

  • Anaby D, Hand C, Bradley L, DiRezze B, Forhan M, DiGiacomo A, Law M. The effect of the environment on participation of children and youth with disabilities: A scoping review. Disability and Rehabilitation 2013;35:1589--1598
  • Bedell G, Dumas H. Social participation of children and youth with acquired brain injuries discharged from inpatient rehabilitation: A follow-up study. Brain Injury 2004;18:65–82
  • King G, Law M, King S, Rosenbaum P, Kertoy MK, Young NL. A conceptual model of the factors affecting the recreation and leisure participation of children with disabilities. Physical and Occupational Therapy in Pediatrics 2003;23:63–90
  • Kramer JM, Olsen S, Mermelstein M, Balcells A, Liljenquist K. Youth with disabilities’ perspectives of the environment and participation: A qualitative meta-synthesis. Child: Care, Health and Development 2012;38:763–777
  • Law M, Petrenchik T, King G, Hurley P. Perceived environmental barriers to recreation, community, and school participation for children and youth with physical disabilities. Archives of Physical Medicine and Rehabilitation 2007;88:1636–1642
  • Colver A, Thyen U, Arnaud C, Beckung E, Fauconnier J, Marcelli M, McManus V, Michelsen SI, Parkes J, Parkinson K, et al. Association between participation in life situations of children with cerebral palsy and their physical, social, and attitudinal environment: A cross-sectional multicenter European study. Archives of Physical Medicine & Rehabilitation 2012;93:2154–2164
  • World Health Organization (WHO). International Classification of Functioning, Disability and Health. Geneva: WHO; 2001
  • World Health Organization (WHO). International Classification of Functioning, Disability and Health – Children and Youth Version. Geneva: WHO; 2007
  • Khetani M, Bedell G, Coster W, Law M, Cousins M. Measures of physical, social and attitudinal environmental factors for children with disabilities. In: Majnemer A, editor. Measures of outcomes and their determinants or children and youth with developmental disabilities. London: Mac Kieth Press; 2013. pp 440–454
  • Ziviani J, Desha L, Feeney R, Boyd R. Measures of participation outcomes and environmental considerations for children with acquired brain injury: A systematic review. Brain Impairment 2010;11:93–112
  • Bedell G. The Child and Adolescent Scale of Environment (CASE): Administration and scoring guidelines. Available online at: http://sites.tufts.edu/garybedell/measurement-tools/ (Last accessed 6 May 2013)
  • Bedell G. The Child and Family Follow-up Survey (CFFS): Administration and scoring guidelines. Available online at: http://sites.tufts.edu/garybedell/measurement-tools/ (Last accessed 6 May 2013)
  • Bedell G. Developing a follow-up survey focused on participation of children and youth with acquired brain injuries after inpatient rehabilitation. NeuroRehabilitation 2004;19:191–205
  • Bedell G. Further validation of the Child and Adolescent Scale of Participation (CASP). Developmental Neurorehabilitation 2009;12:342–351
  • McDougall J, Wright V, Schmidt J, Miller, L, Lowry K. Applying the ICF framework to study changes in quality-of-life in children with chronic conditions. Developmental Neurorehabilitation 2011;14:41–53
  • McDougall, J, Bedell G, Wright V. The youth report version of the Child and Adolescent Scale of Participation (CASP): Assessment of psychometric properties and comparison with parent report. Child: Care, Health and Development 2013;39:512–522
  • Galvin J, Froude EH, McAleer J. Children’s participation in home, school and community life after acquired brain injury. Australian Occupational Therapy Journal 2010;57:118–126
  • Wells R, Minnes P, Phillips M. Predicting social and functional outcomes for individuals sustaining paediatric traumatic brain injury. Developmental Neurorehabilitation 2009;12:2–23
  • Weintraub N, Rot I, Shoshani N, Pe'er J, Weintraub M. Participation in daily activities and quality of life in survivors of retinoblastoma. Pediatric Blood Cancer 2011;56:590–594
  • Whiteneck GG, Harrison-Felix CL, Mellick, DC, Brooks CA, Charlifue SB, Gerhart KA. Quantifying environmental factors: A measure of physical, attitudinal, service, productivity and policy barriers. Archives of Physical Medicine & Rehabilitation 2004;85:1324–1335
  • Haley S, Coster W, Ludlow L, Haltiwanger J, Andrellos J. Pediatric Evaluation of Disability Inventory: Development, standardization, and administration manual, version 1.0. Boston, MA: Trustees of Boston University, Health and Disability Research Institute; 1992
  • Schreiber JB, Stage FK, King J, Nora A, Barlow EA. Reporting structural equation modeling and confirmatory factor analysis results: A review. Journal of Educational Research 2006;99:323–337
  • Chen WC, Bedell G. Environmental barriers that affect children with acquired brain injuries. (Scientific poster). American Occupational Therapy Association, Annual Conference in Indianapolis, IN (April, 2012). Available at: http://sites.tufts.edu/garybedell/files/2012/07/AOTA-Poster-of-Env-barriers-affecting-child-w-ABI.pdf (Last accessed 30 June 2013)
  • Coster W, Bedell G, Law M, Khetani, M, Teplicky R, Liljenquist K, Gleason K, Kao Y. Psychometric evaluation of the Participation and Environment Measure for Children and Youth (PEM-CY). Developmental Medicine & Child Neurology 2011;53:1030–1037
  • Dickenson HO, Colver A; On behalf of the SPARCLE Group. Quantifying the physical, social and attitudinal environment of children with cerebral palsy. Disability and Rehabilitation 2011;33:36–50
  • Whiteneck G, Dijkers, MP. Difficult to measure constructs: Conceptual and methodological issues concerning participation and environmental factors. Archives of Physical Medicine & Rehabilitation 2009;90:S22–S35