Content » Vol 48, Issue 2

Original report

Perceived impact of environmental barriers on participation among people living with spinal cord injury in Switzerland

Jan D. Reinhardt, PhD1,2,3, Carolina Ballert, PhD1,2, Martin W. G. Brinkhof, PhD1,2 and Marcel W. M. Post, PhD1,4,5

From the 1Swiss Paraplegic Research (SPF), Nottwil, 2Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland, 3Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, and Hong Kong Polytechnic University, Chengdu, China, 4Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht and 5University of Groningen, University Medical Center Groningen, Center for Rehabilitation, Groningen, The Netherlands

OBJECTIVE: To describe the impact of environmental barriers perceived by people living with spinal cord injury in the Swiss community and to compare this across subpopulations.

DESIGN: Cross-sectional study.

SUBJECTS: A total of 1,549 participants in the community survey of the Swiss spinal cord injury Cohort study.

METHODS: The perceived impact of environmental barriers on participation was measured with the Nottwil Environmental Factors Inventory Short Form (NEFI-SF). Physical independence was measured with the Spinal Cord Independence Measure Self Report (SCIM-SR). Perceived barriers were compared across people with different demographic and lesion characteristics. Multivariable regression modelling applying fractional polynomials was used to evaluate the overall perceived impact of barriers in relation to demographics, spinal cord injury characteristics, and physical independence.

RESULTS: Most perceived barriers were climatic conditions and inaccessibility of public and private infrastructure. Older participants, those with longer time since injury and participants with complete lesions indicated more problems with access. Females reported more attitudinal barriers. Approximately one-third of participants with complete tetraplegia reported obstacles related to assistance with personal care. A higher level of physical independence was associated with fewer perceived barriers.

CONCLUSION: Despite living in a rich country with a well-developed social security system, many people with spinal cord injury in Switzerland experience participation restrictions due to environmental barriers; in particular women, people with non-traumatic spinal cord injury and limited physical independence.

Key words: spinal cord injury; environmental barriers; environmental factors; physical independence.

J Rehabil Med 2016; 48: 210–218

Correspondence address: Jan D. Reinhardt, Swiss Paraplegic Research, CH-6207 Nottwil, Switzerland. E-mail: jan.reinhardt@paraplegie.ch

Accepted Nov 18, 2015; Epub ahead of print Feb 1, 2016

INTRODUCTION

Academic and legal perspectives on functioning and disability have, in the last 15 years, increasingly emphasized the critical role of environmental factors (1–5). The United Nations Convention on the Rights of Persons with Disabilities characterizes disability as resulting “from the interaction between persons with impairments and attitudinal and environmental barriers that hinders their full and effective participation in society on an equal basis with others” (4, preamble, e). Disability research focusing on environmental factors is of particular importance for rehabilitation, in addition to social policies, since many environmental barriers are man-made (e.g. poorly accessible buildings), or represent natural obstacles that can be moderated or removed by targeted intervention, such as snow clearing by dedicated winter services (6). Environmental factors can thus be modified in favour of people with disabilities (2, 3, 7). Research on environmental barriers can broadly be divided into research focusing on perceived barriers (e.g. research using questionnaires) and research applying “objective” methods for determining the presence of barriers in the environment of people with disabilities (e.g. examining the presence of ramps or accessible toilets in public buildings). While the subjectivity of research examining the perception of environmental barriers has been criticized in the past (7, 8), it is important to note that the perception of barriers can have profound consequences on the lives of persons with disabilities, such as avoiding participation (7).

In spinal cord injury (SCI) research, environmental factors have been shown to be associated with overall social participation (9–11), physical activity (12), life satisfaction (10), quality of life (13), subjective health (14) and mortality (15). Environmental barriers have been found to be reported more often by people with complete lesions (16) and those with decreased physical independence (10). In spite of the apparent contribution of environmental factors to disablement, a limited number of studies have focused on environmental barriers perceived by persons with SCI living in the community (17). Moreover, most research has been carried out in the North American context and with people with traumatic SCI. Representative samples of community dwelling persons with SCI are largely lacking (11, 18). More information on the impact of environmental barriers perceived by persons with SCI, featuring comparisons across sub-groups by demographics and injury characteristics, is of major importance to identify intervention targets and vulnerable groups and thus “provide a nuanced picture across a range of policy fields”(19, p. 1068). The objective of this paper is to characterize the impact of environmental barriers perceived by people living with SCI in Switzerland. The specific aims are: (i) to describe the frequency of perceiving environmental barriers; (ii) to compare perceived environmental barriers across relevant sub-populations; and thereby (iii) to identify particularly disadvantaged groups.

METHODS

Design

The community survey of the Swiss Spinal Cord Injury Cohort Study (SwiSCI) conducted between late 2011 and early 2013 collected comprehensive information on health, functioning and living conditions of persons with SCI residing in Switzerland (20, 21). Data were collected by written or online questionnaires and, in special cases, telephone interviews. The SwiSCI study protocol was formally approved by the local Research Ethics Committee of the Canton of Lucerne, the location of the Swiss Paraplegic Research (ethics registration number 11042). The ethics committees of the Cantons of Basel-Stadt and Valais, which are responsible for the other participating rehabilitation centres at Rehabilitation Basel (REHAB) in Basel and Clinique Romande de Réadaptation (CRR) in Sion, subsequently ratified the study protocol. Written informed consent was obtained from all participants.

Participants

The survey included Swiss residents with a traumatic or non-traumatic SCI aged over 16 years recruited through the national association for persons with SCI (Swiss Paraplegic Association), 3 specialized SCI-rehabilitation centres, and an SCI-specific home care agency. Persons with congenital conditions leading to SCI, SCI in the context of palliative care, neurodegenerative disorders, and Guillain-Barré syndrome were excluded from the study. Based on the databases of the aforementioned institutions a research database was created. People were initially contacted by post and asked to provide their informed consent and, if provided, to answer an initial short questionnaire (starter module), either online or in paper/pencil form. Prepaid return envelopes were provided. Subsequently, a longer questionnaire (basic module) was posted to those who had completed the starter module. A total of 1,549 individuals with SCI participated in the basic survey module containing the Nottwil Environmental Factors Inventory Short Form (NEFI-SF) (return rate 49.3%). Members of the Swiss Paraplegic Association were more likely to participate than non-members, while persons of the oldest age group (aged 76 years or older) as well as those with intermediate time since injury (i.e. between 6 and 25 years) were less likely to participate than those of younger age or shorter or longer time since injury, respectively. However, it is important to note that the resulting response bias with respect to available demographic and SCI characteristics was limited, showing minor impact on a variety of survey results (22). More details on the survey design and implementation are provided in an accompanying paper (22). Survey, demographic and SCI characteristics of the study sample are provided in Table I.

Table I. Demographic and spinal cord injury (SCI) characteristics of survey participants

Participant characteristics

Missing, n (%)

n (%)

 

SwiSCI

 

1,549

 

Gender, male

 

1,107 (71.5)

 

SCI type, paraplegia

12 (0.8)

1,063 (69.2)

 

SCI degree, complete

9 (0.6)

646 (41.9)

 

SCI cause, traumatic

15 (1)

1,202 (78.4)

 

Mobility device

63 (4.1)

 

 

Wheelchair

 

1,011 (68.0)

 

Assistive device/support

 

239 (16.1)

 

Walk without aids

 

236 (15.9)

 

Questionnaire type

 

 

 

Online

 

649 (41.9)

 

Paper-pencil

 

884 (57.1)

 

Telephone

 

16 (1.0)

 

Language

 

 

German

 

1,088 (70.2)

 

French

 

391 (25.2)

 

Italian

 

70 (4.5)

 

Marital status

12 (0.8)

 

 

Single

 

450 (29.3)

 

Married/registered relationship

 

815 (53.0)

 

Divorced/widowed

 

272 (17.7)

 

Current occupational situationa

12 (0.8)

 

 

Work 

 

683 (44.4)

 

Education 

 

63 (4.1)

 

Unpaid work 

 

30 (2)

 

Unemployed

 

41 (2.7)

 

Homemaker 

 

191 (12.4)

 

Disability pension

 

752 (48.5)

 

Retired 

 

380 (24.7)

 

Other occupational situation

 

68 (4.4)

 

Income sources*

25 (1.6)

 

 

Employment

 

672 (44.1)

 

Invalidity pension

 

1,132 (74.3)

 

Accident insurance

 

666 (43.7)

 

Other

 

1,022 (67.1)

 

 

 

Mean (SD)

Median (IQR)

Age, years

 

56.1 (14.8)

56.0 (21.1)

Time since injury, years

131 (8.5)

17.2 (12.6)

13.5 (18.9)

Educational level, years

32 (2.1)

13.6 (3.3)

13.0 (3.0)

aPercentage corresponds to the proportion of available information in the Swiss Spinal Cord Injury Cohort Study (SwiSCI) sample, multiple answers were possible.

IQR: interquartile range; SD: standard deviation.

 

 

Instruments

NEFI-SF. Development of the Nottwil Environmental Factors Inventory (NEFI) was based on the ICF Core Sets for SCI (23). A short form (NEFI-SF) was developed for application in community surveys (24). NEFI-SF comprises 14 items on perceived environmental barriers. Perceived accessibility was evaluated by asking about inaccessible or insufficiently accessible places; impediments related to technology, transportation, and services by asking about deficient or inadequate provisioning; and hindrances related to attitudes by inquiring about negative attitudes, with examples such as prejudice, lack of support, or overprotective behaviours. All items could be rated as: “not applicable”; “no influence”; “made my life a little harder”; or “made my life a lot harder”. For a comprehensive list of all items see Appendix I.

The construct validity of the NEFI-SF was established with Rasch analysis (24). After collapsing response options for 1 item with disordered thresholds and creating a testlet for 3 items on attitudes that showed local dependence, a metric total score of the NEFI-SF ranging from 0 (no impact of barriers) to 100 (largest possible impact of barriers) was derived. NEFI-SF was found to be a unidimensional measure, implying that the perceived impact of environmental barriers on participation can be captured by a single common latent trait (24).

Spinal Cord Independence Measure-Self Report. A self-report version of the Spinal Cord Independence Measure (SCIM III) (25), the SCIM-Self-Report (SCIM-SR) was used to measure levels of functioning in self-care, respiration, sphincter and mobility (26). The SCIM-SR total scores showed high agreement with the scores obtained from SCIM III (intraclass correlation coefficient (ICC) = 0.90; 95% confidence interval (95% CI) 0.85–0.93) (26). Rasch analysis of the SCIM-SR, presented in a separate paper (27), accommodated multidimensionality of items by creating testlets for each of the subscales. Due to the large amount of differential item functioning (DIF) for SCI level and/or completeness of injury the Rasch analyses were performed separately for participants with complete paraplegia, incomplete paraplegia and tetraplegia. Testlets were adjusted for DIF for time since injury, age, and gender. The Rasch models were anchored to allow comparability of the ability estimates. The metric ability scores of the SCIM-SR were used in the present analysis, with higher scores indicating greater physical independence.

Statistical analysis

Relative frequencies were analysed across NEFI-SF items. Endorsement of items as barriers were further compared (“made my life a little harder” or “made my life a lot harder”) across age groups (18–< 30, 30–< 45, 45–< 60, ≥ 60 years), gender, and educational levels (< 12 and ≥ 12 years), level and degree of SCI (motor incomplete paraplegia and motor complete paraplegia vs motor incomplete tetraplegia and motor complete tetraplegia), aetiology (traumatic and non-traumatic), and time since SCI (< 5 years, 5–< 15 years, 15–< 25 years, ≥ 25 years) with Wald tests. Binomial confidence intervals were also calculated. To analyse determinants of the overall perception of barriers, the Rasch-transformed total NEFI-SF score was regressed on gender, education, age, time since SCI, SCIM ability scores, SCI aetiology, and type of SCI (incomplete paraplegia, complete paraplegia, incomplete tetraplegia and complete tetraplegia). A global F-test was used to evaluate the utility of the multinomial variable type of SCI in the model; if significant, post-hoc Wald tests were performed for pairwise comparisons; p-values were Bonferroni-corrected. Fractional polynomials (28) were used for determining potential non-linear relations between all continuous predictors and the outcome. Fractional polynomials regression compares all possible functions using a predefined set of powers (−2, −1, −0.5, 0, 0.5, 1, 2, 3; with 0 representing the logarithmic transformation) regarding their fit in predicting the outcome. Repeated powers are possible. Simple models are preferred. More complicated functions are accepted only if they fit a lot better.

For bi- and multi-variable analysis, missing values (item non-response) were imputed with a recursive partitioning approach, as implemented in the R-package MissForest (29). Subsequently, inverse probability weights derived from propensity scores (30) were applied in the analyses to account for unit-non response, i.e. selective non-participation of persons with certain demographic or lesion characteristics who were initially contacted for participation in the survey. Details about this approach are provided in an accompanying paper (22). Analyses were performed with R– 3.1.0 and Stata 13.1.

RESULTS

The relative frequencies of responses to NEFI-SF individual items are shown in Fig. 1. More than half of the participants perceived that climatic conditions and insufficient accessibility of public infrastructure had a negative impact on their participation. Just under half of participants perceived that their life was made at least a little harder due to difficulties in accessing the homes of friends or relatives. Transportation, as well as policies and services, were perceived as having a negative impact by approximately one-third of the sample. More than one-quarter of the study participants indicated a negative impact of their financial situation and more than one-fifth reported problems because of social attitudes. Negative attitudes of family members, friends and colleagues, lack of medical supplies and problems with communication devices were perceived by a relatively small proportion of the total sample.

 

14554.png
Fig. 1. Relative frequencies and 95% confidence intervals for individual Nottwil Environmental Factors Inventory (NEFI) items; F/R = friends’ and relatives’.

 

Tables II and III show the comparison of perceived barriers counting both the “a little” and “a lot” answers across sub-populations. Statistically significant differences were as follows. The oldest participants more frequently perceived barriers of short-distance transportation and communication devices, but less frequently of policies and services than younger participants. Females perceived a greater negative impact of climate, social attitudes, attitudes of family, attitudes of friends and colleagues, and accessibility of friends’ and family members’ homes. As a result, females had significantly higher NEFI-SF total scores. Persons with higher education more frequently indicated problems with public accessibility, while those with lower education more often reported barriers in personal care assistance and communication devices. Persons with longer time since injury showed the highest frequency of reporting barriers with respect to accessibility, short-distance transportation, and personal assistance, but the lowest occurrence of barriers resulting from negative attitudes of friends. Respondents with complete lesions more often indicated a negative impact of inaccessible public or private buildings, short-distance transportation, and political decisions, and had significantly higher NEFI-SF total scores. Persons with tetraplegia more frequently reported problems with or lack of communication devices. Persons with incomplete tetraplegia most often reported a negative impact of family attitudes. Almost one-third of those with complete tetraplegia perceived unavailability of, or insufficient, personal assistance. A negative impact of insufficient financial resources was most frequently reported by subjects with non-traumatic aetiologies.

Table II. Survey adjusted proportions with 95% confidence intervals (CI) of endorsement of barriers for Nottwil Environmental Factors Inventory Short Form (NEFI-SF) items by socio-demographic characteristics of the Swiss Spinal Cord Injury Cohort Study (SWISCI) sample

 NEFI-SF Items

Total

Age

 

Gender

 

Education

< 30 years

30–< 45 years

45–< 60 years

≥ 60 years

p-value

 

Male

Female

p-value

 

< 12 years

p-value

Public access

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

59.9

53.7

60.4

51.5

60.6

0.013

 

55.8

60.4

0.112

 

49.0

0.002

CI

(54.8–59.9)

(41.9–65.5)

(54.8–66)

(47.2–55.8)

(56.5–64.6)

 

 

(52.7–58.8)

(55.6–65.1)

 

 

(43.2–54.9)

 

Climate

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

71.3

56.8

70.2

69.8

67.0

0.142

 

66.3

72.8

0.018

 

66.6

0.531

CI

(66.5–71.3)

(45–68.6)

(64.9–75.4)

(65.8–73.8)

(63.1–70.9)

 

 

(63.4–69.2)

(68.4–77.1)

 

 

(61–72.3)

 

Social attitudes

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

25.7

21.7

28.0

23.0

20.2

0.079

 

21.9

25.1

0.185

 

22.4

0.849

CI

(21.4–25.7)

(11.6–31.9)

(22.9–33)

(19.5–26.6)

(17–23.5)

 

 

(19.4–24.4)

(21–29.2)

 

 

(17.6–27.3)

 

Attitudes of family

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

12.7

12.9

13.4

11.1

9.1

0.239

 

9.3

14.4

0.005

 

11.9

0.518

CI

(9.5–12.7)

(4.9–21)

(9.5–17.3)

(8.4–13.8)

(6.8–11.4)

 

 

(7.6–11.1)

(11–17.7)

 

 

(8.1–15.6)

 

Attitudes of friends

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

13.8

11.6

14.2

10.8

12.1

0.576

 

10.8

15.2

0.019

 

11.9

0.923

CI

(10.4–13.8)

(4–19.2)

(10.2–18.1)

(8.1–13.5)

(9.5–14.7)

 

 

(8.9–12.6)

(11.7–18.7)

 

 

(8.1–15.7)

 

Attitudes of colleagues

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

15.6

11.8

16.6

11.4

13.3

0.197

 

11.9

16.5

0.016

 

14.3

0.570

CI

(12–15.6)

(4.1–19.5)

(12.4–20.8)

(8.7–14.1)

(10.6–16)

 

 

(9.9–13.8)

(13–20)

 

 

(10.2–18.3)

 

Short distance transportation

Proportion

36.9

29.5

32.5

33.7

38.0

0.217

 

34.4

36.4

0.476

 

37.1

0.413

CI

(32.1–36.9)

(18.9–40.1)

(27.3–37.7)

(29.7–37.7)

(34–41.9)

 

 

(31.6–37.3)

(31.8–40.9)

 

 

(31.5–42.7)

 

Long distance transportation

Proportion

37.7

25.4

36.1

33.5

36.9

0.224

 

34.9

35.7

0.770

 

38.2

0.223

CI

(32.8–37.7)

(15.1–35.8)

(30.7–41.5)

(29.5–37.4)

(33–40.8)

 

 

(32–37.7)

(31.1–40.2)

 

 

(32.5–43.8)

 

Personal care assistance

Proportion

14.0

5.4

14.5

11.2

12.8

0.163

 

11.4

14.3

0.123

 

16.5

0.016

CI

(10.7–14)

(0.2–10.6)

(10.5–18.5)

(8.5–13.8)

(10.1–15.5)

 

 

(9.5–13.4)

(11–17.6)

 

 

(12.1–20.9)

 

Medical supplies

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

15.7

8.0

17.8

11.2

15.2

0.020

 

14.8

12.2

0.188

 

13.8

0.924

CI

(12.2–15.7)

(1.7–14.2)

(13.5–22)

(8.5–13.8)

(12.3–18.1)

 

 

(12.7–16.9)

(9–15.3)

 

 

(9.8–17.9)

 

Financial situation

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

32.1

23.8

33.0

29.4

27.4

0.267

 

28.6

30.2

0.541

 

33.2

0.087

CI

(27.4–32.1)

(13.8–33.8)

(27.7–38.3)

(25.5–33.2)

(23.8–31)

 

 

(25.9–31.4)

(25.9–34.6)

 

 

(27.7–38.7)

 

Communication devices

Proportion

9.2

2.8

6.8

5.1

10.9

0.009

 

8.0

7.1

0.563

 

14.4

< 0.001

CI

(6.4–9.2)

(–1–6.6)

(3.9–9.7)

(3.2–7)

(8.3–13.4)

 

 

(6.3–9.6)

(4.5–9.6)

 

 

(10.1–18.7)

 

Home access

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

47.6

47.8

49.6

43.2

44.8

0.338

 

43.3

50.2

0.018

 

46.6

0.632

CI

(42.5–47.6)

(36–59.6)

(44–55.3)

(39–47.4)

(40.7–48.8)

 

 

(40.4–46.3)

(45.4–55)

 

 

(40.8–52.5)

 

Political decisions

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

37.5

38.1

39.5

35.6

32.8

0.234

 

34.5

37.2

0.319

 

35.0

0.893

CI

(32.7–37.5)

(26.6–49.6)

(34–45)

(31.5–39.6)

(29–36.5)

 

 

(31.7–37.4)

(32.7–41.8)

 

 

(29.4–40.5)

 

0–100 Adjusted NEFI-Score

Mean

33.8

29.6

34.2

31.7

33.5

0.146

 

31.9

35.1

0.006

 

33.8

0.414

CI

(31.8–33.8)

(24.8–34.3)

(31.9–36.5)

(30–33.4)

(31.8–35.1)

 

 

(30.7–33.2)

(33.2–37)

 

 

(31.3–36.2)

 

Proportions are adjusted for unit-non response based on inverse probability weights. Significant values are shown in bold.

Table III. Survey adjusted proportions with 95% confidence intervals (CI) of endorsement of barriers for Nottwil Environmental Factors Inventory Short Form (NEFI-SF) items by injury characteristics of the Swiss Spinal Cord Injury Cohort Study (SWISCI) sample

 NEFI-SF Items

Time since injury

 

SCI characteristics

 

SCI cause

< 5 years

5–< 15 years

15–< 25 years

≥ 25 years

p-value

 

Incomplete

 

Complete

p-value

 

Non-traumatic

Traumatic

p-value

Tetraplegia

Paraplegia

 

Tetraplegia

Paraplegia

Public access

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

54.4

54.2

56.1

65.5

0.005

 

47.1

46.6

 

68.6

75.1

< 0.001

 

57.1

57.1

0.991

CI

(48.4–60.4)

(49.8–58.7)

(51–61.3)

(60.6–70.3)

 

 

(41.5–52.8)

(42.5–50.7)

 

(61.1–76.1)

(71.1–79)

 

 

(51.6–62.6)

(54.3–60)

 

Climate

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

68.0

66.6

68.8

70.3

0.705

 

65.1

61.3

 

78.0

76.7

< 0.001

 

68.2

68.2

0.995

CI

(62.2–73.7)

(62.4–70.8)

(64–73.7)

(65.6–75)

 

 

(59.6–70.6)

(57.2–65.3)

 

(71.2–84.7)

(72.8–80.5)

 

 

(63–73.4)

(65.5–70.9)

 

Social attitudes

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

19.3

24.9

22.5

22.5

0.369

 

25.4

22.5

 

20.3

22.4

0.607

 

23.8

22.6

0.649

CI

(14.7–24)

(21.1–28.7)

(18.2–26.8)

(18.3–26.6)

 

 

(20.6–30.3)

(19–25.9)

 

(14.1–26.6)

(18.6–26.2)

 

 

(19.2–28.4)

(20.2–25)

 

Attitudes of family

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

10.7

12.8

10.5

8.0

0.139

 

13.5

10.8

 

11.0

8.7

0.223

 

11.0

10.8

0.903

CI

(7–14.4)

(9.9–15.8)

(7.3–13.6)

(5.3–10.6)

 

 

(9.6–17.4)

(8.2–13.4)

 

(6.3–15.8)

(6.2–11.3)

 

 

(7.5–14.5)

(9–12.5)

 

Attitudes of friends

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

13.9

14.7

10.6

8.1

0.014

 

13.2

12.6

 

12.2

10.4

0.642

 

14.5

11.3

0.121

CI

(9.8–18)

(11.6–17.9)

(7.4–13.8)

(5.4–10.8)

 

 

(9.4–16.9)

(9.8–15.4)

 

(7.1–17.4)

(7.7–13.2)

 

 

(10.7–18.3)

(9.5–13.2)

 

Attitudes of colleagues

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

13.1

15.8

11.0

11.9

0.164

 

14.4

13.2

 

11.6

13.1

0.858

 

14.3

12.9

0.532

CI

(9.1–17.2)

(12.6–19.1)

(7.8–14.1)

(8.8–15.1)

 

 

(10.5–18.3)

(10.4–15.9)

 

(6.7–16.5)

(10–16.2)

 

 

(10.5–18)

(11–14.9)

 

Short distance transportation

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

36.4

31.4

34.0

41.5

0.018

 

31.7

29.4

 

41.6

42.9

< 0.001

 

35.9

34.8

0.702

CI

(30.6–42.1)

(27.4–35.4)

(29.1–38.9)

(36.5–46.4)

 

 

(26.5–36.9)

(25.7–33.1)

 

(33.8–49.4)

(38.5–47.4)

 

 

(30.7–41.1)

(32–37.5)

 

Long distance transportation

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

37.4

33.4

31.5

40.9

0.033

 

35.9

31.1

 

42.0

37.7

0.034

 

37.5

34.4

0.301

CI

(31.6–43.3)

(29.2–37.5)

(26.8–36.3)

(36–45.8)

 

 

(30.5–41.3)

(27.2–34.9)

 

(34.2–49.8)

(33.3–42)

 

 

(32.2–42.8)

(31.7–37.1)

 

Personal care assistance

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

12.1

10.0

11.9

16.9

0.025

 

16.2

7.9

 

28.3

9.9

< 0.001

 

10.6

12.8

0.274

CI

(8.2–16)

(7.4–12.7)

(8.5–15.2)

(13.1–20.6)

 

 

(12.1–20.3)

(5.7–10.2)

 

(21.2–35.5)

(7.2–12.6)

 

 

(7.3–13.9)

(10.9–14.7)

 

Medical supplies

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

12.4

13.1

14.2

16.6

0.391

 

14.7

12.3

 

12.0

16.6

0.209

 

12.9

14.4

0.505

CI

(8.5–16.3)

(10.1–16.1)

(10.6–17.8)

(12.9–20.3)

 

 

(10.7–18.7)

(9.6–15)

 

(7–17)

(13.2–19.9)

 

 

(9.3–16.5)

(12.3–16.4)

 

Financial situation

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

31.2

29.8

28.2

27.4

0.724

 

27.0

31.2

 

21.5

30.3

0.088

 

37.8

26.5

< 0.001

CI

(25.7–36.7)

(25.8–33.8)

(23.6–32.9)

(23–31.9)

 

 

(21.9–32)

(27.4–35.1)

 

(15.1–28)

(26.2–34.5)

 

 

(32.5–43.1)

(24–29)

 

Communication devices

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

9.6

7.2

7.0

7.9

0.648

 

13.6

4.8

 

12.0

5.8

< 0.001

 

9.2

7.3

0.257

CI

(6–13.2)

(4.9–9.6)

(4.3–9.8)

(5.1–10.7)

 

 

(9.8–17.5)

(3–6.7)

 

(6.8–17.1)

(3.6–8.1)

 

 

(6–12.3)

(5.7–8.8)

 

Home access

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

41.0

43.7

45.3

51.5

0.040

 

40.3

33.8

 

60.9

59.7

< 0.001

 

44.8

45.5

0.804

CI

(35.1–46.8)

(39.4–48.1)

(40.2–50.5)

(46.5–56.5)

 

 

(34.8–45.8)

(29.9–37.7)

 

(53.1–68.6)

(55.2–64.1)

 

 

(39.3–50.2)

(42.7–48.4)

 

Political decisions

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

33.9

35.7

32.1

39.9

0.155

 

32.4

31.9

 

38.3

41.2

0.009

 

37.7

34.6

0.299

CI

(28.3–39.6)

(31.5–39.9)

(27.3–36.9)

(35–44.8)

 

 

(27.1–37.6)

(28.1–35.7)

 

(30.7–46)

(36.7–45.6)

 

 

(32.5–43)

(31.9–37.3)

 

0–100 Adjusted NEFI-Score

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Mean

32.6

32.6

31.5

35.2

0.060

 

31.9

29.1

 

38.1

37.0

< 0.001

 

33.9

32.5

0.285

CI

(30.1–35.1)

(30.9–34.4)

(29.4–33.7)

(33.4–37.1)

 

 

(29.5–34.4)

(27.4–30.7)

 

(35.2–41)

(35.4–38.7)

 

 

(31.7–36.2)

(31.4–33.7)

 

Proportions are adjusted for unit-non response based on inverse probability weights. Significant values are shown in bold.

 

 

Table IV presents the results of the fractional polynomial regression analysis. The selected predictors explained approximately 22% of the variance in the overall perception of environmental barriers (F (9, 1539) = 48.83, p < 0.001). Males, older participants, those with longer time since SCI and higher SCIM ability scores perceived fewer barriers. NEFI-SF total scores and SCIM ability scores showed a non-linear quadratic relationship (see Fig. 2). All other continuous predictors were found to be linearly related to NEFI-SF. In this adjusted model people with complete paraplegia perceived significantly more barriers than persons with incomplete paraplegia as well as those with complete tetraplegia (Bonferroni adjusted post-hoc Wald test).

Table IV. Results of the fractional polynomial regression of Nottwil Environmental Factors Inventory Short Form (NEFI-SF) score on socio-demographic variables. injury characteristics and functional independence scores

NEFI-SF score (0–100)

Coefficient

95% confidence interval

p-value

Gender (referent: female)

–3.04

–5.16; –0.92

0.005

Age, years

–0.07

–0.14; –0.01

0.034

Education, years

0.20

–0.09; 0.50

0.173

Time since SCI, years

–0.10

–0.18; –0.01

0.026

SCIM-SRb

–0.51

–0.57; –0.46

< 0.001

Type of SCI (referent: incomplete paraplegia)

 

 

< 0.001a

Complete paraplegia

2.86

0.49; 5.23

0.018

Incomplete tetraplegia

0.16

–2.57; 2.89

0.907

Complete tetraplegia

–2.07

–5.53; 1.38

0.240

Aetiology (referent: non-traumatic)

–0.36

–2.87; 2.15

0.779

Intercept

63.13

56.47; 69.80

< 0.001

aGlobal F-test if coefficients differ from each other as well as referent.

b(SCIM-SR Rasch ability scores + 6)2. Significant values are shown in bold.

 

2137Fig2.TIF
Fig. 2. Non-linear relationship of Nottwil Environmental Factors Inven­tory Short Form (NEFI-SF) score and Spinal Cord Independence Measure Self Report (SCIM-SR) abilities.

DISCUSSION

This is the first study of environmental barriers perceived by persons with SCI residing in the Swiss community and the first to use a measure of environmental factors based on the ICF Core Sets for SCI. A significant proportion of participants perceived at least some impact of environmental barriers on their daily life. Most problematic were climatic conditions and the accessibility of public spaces and private buildings, followed by transportation, policies and services, and finances. Personal care assistance, in particular, was an issue for participants with complete tetraplegia. Overall, more than one-fifth of participants reported that social attitudes made their lives at least a little harder. Negative attitudes of families, friends and colleagues were infrequently perceived, but appeared to play a stronger role for women. Women also showed higher NEFI-SF total scores. Notably, participants with non-traumatic injuries perceived substantially more financial barriers than those with traumatic injuries, possibly reflecting a lack of payment by an accident insurance in the case of non-traumatic injury. The overall perception of barriers was particularly associated with self-reported physical independence. The perception of environmental barriers showed a monotonous, but accelerating, decline with increasing physical independence, indicating decreasing amounts of perceived barriers between adjacent levels of SCIM-SR abilities with greater independence. In contrast to the results of univariable analysis indicating a greater perceived impact of barriers for individuals with complete paraplegia or tetraplegia, solely complete paraplegia was associated with a greater perceived impact of barriers when the relationship was controlled for physical independence in multi-variable analysis. While this result may suggest a stronger mediation of the effect of complete lesions through increased physical dependence of people with tetraplegia than those with paraplegia (moderated mediation), it may also point to mechanisms and influencing factors that were not accounted for in the present analysis, e.g. individuals with paraplegia may have higher participation goals. Formal mediation analysis is needed to clarify this issue.

There is limited evidence regarding the impact of environmental barriers on daily living of people with SCI, and meaningful comparison of the existing evidence is challenged by the use of fundamentally different measurement instruments across studies.

In our study the main barriers were climatic conditions, inaccessibility of public buildings and friends and relatives’ homes, transportation, and governmental policies and services. Most studies that provided similar data used the Craig Hospital Environmental Factors Inventory Short Form (CHIEF-SF) and featured US samples of people with traumatic SCI (9, 10, 14) with the exception of 1 study that also examined a Turkish sample (31). In accordance with our findings, the main barriers in those studies included natural environmental conditions (including climate), transportation, and governmental policies and services. The CHIEF-SF, however, does not include items on the accessibility of public and private structures complicating the comparison of overall perception of barriers with our study. Another study (16) examined perceived environmental barriers and facilitators in a sample of 449 Canadian individuals with traumatic SCI, applying the Measure of the Quality of the Environment (MQE). The main perceived obstacles were time to execute a task, climatic conditions, physical accessibility of friends’ residences, and unevenness and nature of terrain. While the NEFI-SF does not collect information on time to execute a task, the other results from Canada confirm our findings regarding the importance of barriers imposed by climatic conditions and lack of accessibility.

Regarding variation in environmental barriers across demographic and injury characteristics, we found a smaller number of perceived barriers in males compared with females, in older people, those with longer time since injury, and in people with greater physical independence. Our results regarding specific barriers in particular indicate that women more frequently perceive attitudinal barriers and people with complete lesions more often reported problems because of issues with accessibility. Similar to our results, Whiteneck et al. (10) found a decreasing perception of barriers with time since injury and physical independence, as measured with the Functional Independence Measure (FIM). Moreover, reports of physical and structural barriers were more pronounced in people with more severe injuries and women perceived more attitudinal barriers. Noreau et al. (16) also found that accessibility is particularly an issue for persons with complete lesions. However, they did not find a consistent relationship with age and time since injury. Silver et al. (32) found that most persons discharged to the community most frequently perceived barriers resulting from lack of equipment and assistance as well as issues with health insurance; problems that may be reduced with increasing time since injury, while other barriers may become more apparent.

Based on our findings, the main aims of Swiss policy makers should be to improve the accessibility of public infrastructure and improve service provision, including personal care assistance for people with tetraplegia. Policies to support persons with non-traumatic aetiologies of SCI should be considered. The particular problems women with SCI face may also deserve more attention.

The current study has several potential limitations. Like the CHIEF or MQE, the NEFI-SF is a measure of the perceived impact of environmental barriers on people’s lives. It relies on self-report rather than on objective measurement of environmental features, such as the height of curbs or the width of doors. Similar critiques related to the subjectivity of measures may thus apply (8). It is, for instance, unclear whether our finding that particular subgroups of people with SCI report more barriers than others is due to actual barriers or differential reporting. However, a survey necessarily relies on self-report and people’s perception is likely to influence their behaviours, e.g. avoiding situations if barriers are anticipated, as well as their quality of life. It should also be emphasized that the NEFI asks about barriers affecting “participation in society”, which presumably omits domestic functioning and general activities of daily living.

Although we adjusted for unit-non response for those in our registry who did not answer the survey, we cannot exclude that non-response was related to the perception of environmental barriers, such as communication devices. We may thus have underestimated the number of barriers perceived by the overall Swiss population with SCI. Given that we attempted to correct for non-response, inference can furthermore only be made for the sampling population, i.e. those people in our registry and not for all people with SCI in Switzerland. Moreover, the present analysis did not include a separate measure of participation. Future studies are anticipated to comprehensively study the relationship of impairment, perceived environmental barriers, and restrictions in participation, considering the possibility of mediation and moderation of the relation between impairment and participation restriction by the environment.

This study has several strengths. It is the first research to comprehensively describe environmental barriers in a Western European sample of persons with SCI living in the community. The study features a large community sample that includes persons with traumatic as well as non-traumatic SCI. In addition, we took care to adjust our analysis for unit and item non-response.

In conclusion, despite living in a rich country with a well-developed social safety net, a significant number of Swiss community dwelling individuals with SCI perceive a negative impact of environmental barriers on their social participation. Most frequently mentioned were climatic conditions, accessibility of infrastructure, and government policies and services. Women, persons with non-traumatic aetiology, and those with limited physical independence seem particularly vulnerable to environmental barriers.

Appendix I. Nottwil Environmental Factors Inventory Short Form (NEFI-SF)

 

 

 

NEFI-SF

 

Introduction

 

In daily life one is exposed to diverse external influences (so-called environmental factors) that can make everyday easier or more difficult.

 

Which factors made your participation in society a little, or considerably more, difficult in the last four weeks? Please consider how you would like your participation to be.

Question Number

Label

Question

Response options

1

Public access

Inaccessible or inadequately accessible public places (e.g. public buildings or parks)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

2

Climate

Unfavourable climatic conditions (e.g. weather, season, temperature, humidity)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

3

Social attitudes

Negative societal attitudes toward persons with disability (e.g. prejudice, ignorance)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

4

Attitudes of family

Negative attitudes of your family and relatives with regards to your disability (e.g. prejudice, lack of support or overprotective behaviour)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

5

Attitudes of friends

Negative attitudes of your friends with regards to your disability (e.g. prejudice, lack of support or overprotective behaviour)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

6

Attitudes of colleagues

Negative attitudes of neighbours, acquaintances and work colleagues with regards to your disability (e.g. prejudice, lack of support or overprotective behaviours)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

7

Short-distance transportation

Lack of, or inadequate, adapted assistive technology for moving around over short distances (e.g. stair lift, walking aids)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

8

Long-distance transportation

Lack of, or inadequate, adapted means of transportation for long distances (e.g. no adapted car or hard to use public transport)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

9

Personal care assistance

Lack of, or inadequate, nursing care and support services (e.g. home health care or personal assistance)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

10

Medical supplies

Lack of, or insufficient, medication and medical aids and supplies (e.g. catheters, disinfectants, splints, pillows)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

11

Financial situation

Problematic financial situation (e.g. shortage of money, lack of governmental support)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

12

Communication devices

Lack of, or inadequate, communication devices (e.g. writing devices, computer, telephone, mouse)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

13

F/R home access

Inaccessibility or inadequate accessibility to the homes of friends and relatives

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

14

Political decisions

Inadequate national and cantonal political decisions and governmental services (e.g. problems with disability insurance, lack of equality promotion)

0 = “no influence“ 1 = “made my life a little harder“ 2 = “made my life a lot harder“

 

REFERENCES

1. WHO. International Classification of Functioning, Disability, and Health (ICF). Geneva: WHO Press; 2001.

2. WHO World report on disability. Geneva: WHO Press; 2011.

3. Bickenbach JE, Officer A, Shakespeare T, von Groote PM, editors. International perspectives on spinal cord injury. Geneva: WHO Press; 2013.

4. United Nations. Convention on the rights of persons with disabilities. New York: United Nations; 2006.

5. Magasi S, Wong A, Gray DB, Hammel J, Baum C, Wang CC, et al. Theoretical foundations for the measurement of environmental factors and their impact on participation among people with disabilities. Arch Phys Med Rehabil 2015; 96: 569–577.

6. Hammel J, Magasi S, Heinemann A, Gray DB, Stark S, Kisala, et al. Environmental barriers and supports to everyday participation: a qualitative insider perspective from people with disabilities. Arch Phys Med Rehabil 2015; 96: 578–588.

7. Reinhardt JD, Miller J, Stucki G, Sykes C, Gray DB. Measuring impact of environmental factors on human functioning and disability: a review of various scientific approaches. Disabil Rehabil 2011; 33: 2151–2165.

8. Whiteneck G, Dijkers MP. Difficult to measure constructs: conceptual and methodological issues concerning participation and environmental factors. Arch Phys Med Rehabil 2009; 90: S22–S35.

9. Lysack C, Komanecky M, Kabel A, Cross K, Neufeld S. Environmental factors and their role in community integration after spinal cord injury. Can J Occup Ther 2007; 74 Spec No.: 243–254.

10. Whiteneck G, Meade MA, Dijkers M, Tate DG, Bushnik T, Forchheimer MB. Environmental factors and their role in participation and life satisfaction after spinal cord injury. Arch Phys Med Rehabil 2004; 85: 1793–1803.

11. Barclay L, McDonald R, Lentin P. Social and community participation following spinal cord injury: a critical review. Int J Rehabil Res 2015; 38: 1–19.

12. Fekete C, Rauch A. Correlates and determinants of physical activity in persons with spinal cord injury: a review using the International Classification of Functioning, Disability and Health as reference framework. Disabil Health J 2012; 5: 140–150.

13. Mortenson WB, Noreau L, Miller WC. The relationship between and predictors of quality of life after spinal cord injury at 3 and 15 months after discharge. Spinal Cord 2010; 48: 73–79.

14. Cao Y, Walker EA, Krause JS. Environmental barriers and subjective health among people with chronic spinal cord injury: a cohort study. J Spinal Cord Med 2015; 38: 526–531.

15. Krause JS, Carter RE. Risk of mortality after spinal cord injury: relationship with social support, education, and income. Spinal Cord 2009; 47: 592–596.

16. Noreau L, Fougeyrollas P, Boschen KA. Perceived influence of the environment on social participation among individuals with spinal cord injury. Top Spinal Cord Inj Rehabil 2002; 7: 56–72.

17. Post MW, Kirchberger I, Scheuringer M, Wollaars MM, Geyh S. Outcome parameters in spinal cord injury research: a systematic review using the International Classification of Functioning, Disability and Health (ICF) as a reference. Spinal Cord 2010; 48: 522–528.

18. Reinhardt JD, Post MW. Measurement and evidence of environmental determinants of participation in spinal cord injury: a systematic review of the literature. Top Spinal Cord Inj Rehabil 2010; 15: 26–48.

19. Kostanjsek N, Good A, Madden RH, Üstün TB, Chatterji S, Mathers CD, et al. Counting disability: global and national estimation. Disabil Rehabil 2013; 35: 1065–1069.

20. Post MW, Brinkhof MW, von Elm E, Boldt C, Brach M, Fekete C, et al. Design of the Swiss Spinal Cord Injury Cohort Study. Am J Phys Med Rehabil 2011; 90: S5–S16.

21. Stucki G, Bickenbach JE, Post MWM. Developing epidemiologic studies of people’s lived experience: the Swiss Spinal Cord Injury Cohort Study as a case in point. Am J Phys Med Rehabil 2011; 90: S1–S4.

22. Brinkhof M, Fekete C, Chamberlain JD, Post MWM, Gemperli A; for the SwiSCI Study Group. Swiss national community survey on functioning after spinal cord injury: protocol, characteristics of participants and determinants of nonresponse. J Rehabil Med 2016; 48: 120–130.

23. Juvalta S, Post MW, Charlifue S, Noreau L, Whiteneck G, Dumont FS, et al. Development and cognitive testing of the Nottwil Environmental Factors Inventory. J Rehabil Med 2015; 47: 618–625.

24. Ballert CS, Post MW, Brinkhof MW, Reinhardt JD. Psychometric properties of the Nottwil Environmental Factors Inventory Short Form. Arch Phys Med Rehabil 2015; 96: 233–240.

25. Catz A, Itzkovich M, Tesio L, Biering-Sorensen F, Weeks C, Laramee MT, et al. A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation. Spinal Cord 2007; 45: 275–291.

26. Fekete C, Eriks-Hoogland I, Baumberger M, Catz A, Itzkovich M, Lüthi H, et al. Development and validation of a self-report version of the Spinal Cord Independence Measure (SCIM III). Spinal Cord 2013; 51: 40–47.

27. Prodinger B, Ballert CS, Brinkhof MWG, Tennant A, Post MWM. Metric properties of the Spinal Cord Independence Measure – self report in a community survey J Rehabil Med 2016; 48: 149–164.

28. Royston P, Sauerbrei W. Stability of multivariable fractional polynomial models with selection of variables and transformations: a bootstrap investigation. Stat Med 2003; 22: 639–659.

29. Stekhoven DJ, Bühlmann P. MissForest – non-parametric missing value imputation for mixed-type data. Bioinformatics 2012; 28: 112–118.

30. Lepidus Carlson B, Williams S. A comparison of two methods to adjust weights for non-response: Propensity modelling and weighting class adjustments. Proceedings of the Annual Meeting of the American Statistical Association August 5–9, 2001.

31. Dijkers MP, Yavuzer G, Ergin S, Weitzenkamp D, Whiteneck GG. A tale of two countries: environmental impacts on social participation after spinal cord injury. Spinal Cord 2002; 40: 351–362.

32. Silver J, Ljungberg I, Libin A, Groah S. Barriers for individuals with spinal cord injury returning to the community: a preliminary classification. Disabil Health J 2012; 5: 190–196.

Comments

Do you want to comment on this paper? The comments will show up here and if appropriate the comments will also separately be forwarded to the authors. You need to login/create an account to comment on articles. Click here to login/create an account.