The International Classification of Functioning, Disability, and Health (ICF) as a community participation model for people with multiple sclerosis: A hierarchical regression analysis

2020 ◽  
Vol 26 (2) ◽  
pp. 55-72
Author(s):  
Joseph Pfaller ◽  
Fong Chan ◽  
Kanako Iwanaga ◽  
Jia-Rung Wu ◽  
Stuart Rumrill ◽  
...  

AbstractMultiple sclerosis (MS) is a central nervous system disorder that impacts more than 400,000 people in the U.S. The disease results in multiple functional impairments that are diverse and varied across individuals. Additonally, MS has a profound impact on community participation which, like other rehabilitation outcomes, cannot be explained on the basis of functional limitations alone. The purpose of this study was to develop and evaluate a model of community participation for people living with MS using the World Health Organization (WHO) International Classification of Functioning, Disability, and Health (ICF) framework. The model focused on the roles that personal factors have as predictors of community participation, while also serving as mediators and moderators for the relationship between activity limitation and participation. Results from the hierarchical regression analysis indicated that demographic characteristics (i.e. MS type), personal factors (i.e. core self-evaluations (CSE), MS self-management, resilience, and social skills), and activity limitations accounted for 64% of the variance in participation. Further, mediation analysis indicated that CSE mediated the relationship between activity limitation and community participation. Finally, moderation analysis indicated an interaction effect between educational attainment and MS self-management. Implications for future research in rehabilitation and clinical application are discussed.

2021 ◽  
Vol 35 (3) ◽  
pp. 144-157
Author(s):  
Bradley McDaniels ◽  
Malachy Bishop

ObjectiveThe purpose of this study was to explore how the functional impact of Parkinson's disease affects participation and to evaluate whether positive psychological capital (PsyCap) mediates the relationship within the context of the World Health Organization International Classification of Functioning, Disability, and Health Model.MethodSurvey responses were analyzed from 144 adults with Parkinson's disease using a quantitative, correlational research design employing multiple regression and hierarchical regression analysis to examine hypothesized relationships.ResultsThe results of the correlation analysis indicated that there was a statistically significant, moderate-to-strong positive correlation between functioning and PsyCap and participation. Hierarchical regression analysis revealed that functioning accounted for 65% of the variance in participation. Although PsyCap was associated with participation, no mediating effect was observed.ConclusionsThe results are consistent with traditional clinical judgment that physical functioning is positively correlated with participation. This study represents the first evaluation of the role of PsyCap in people with Parkinson's disease, and the results of the correlational analysis suggest that continued investigation of these relationships is warranted.BackgroundParkinson's disease results in a variety of motor and non-motor features that frequently result in reduced participation in valued life activities.


2020 ◽  
pp. 003435522097683
Author(s):  
Jennifer Sánchez

People with psychiatric disabilities experience significant impairment in fulfilling major life roles due to the severity of their mental illness. Recovery for people with serious mental illness (SMI) can be a long, arduous process, impacted by various biological, functional, sociological, and psychological factors which can present as barriers and/or facilitators. The purposes of this study were to: (a) investigate the International Classification of Functioning, Disability, and Health (ICF) framework’s ability to predict recovery in adults with SMI and (b) determine to what extent the ICF constructs in the empirical model explain the variance in recovery. Participants ( N = 192) completed a sociodemographic questionnaire and various measures representing all predictor and outcome variables. Results from hierarchical regression analysis with six sets of predictors entered sequentially (1 = personal factors-demographics, 2 = body functions-mental, 3 = activity-capacity, 4 = environmental factors, 5 = personal factors-characteristics, and 6 = participation-performance) accounted for 75% (large effect) of the variance in recovery. Controlling for all factors, by order of salience, higher levels of significant other support, education, executive function impairment, and social self-efficacy; primary, non-bipolar SMI diagnosis; greater resilience; lower levels of explicit memory-health impairment, affective self-stigma, and cognitive self-stigma; being younger; fewer self-care limitations; less severe psychiatric symptoms; and being unemployed and unmarried were found to significantly predict recovery. Findings support the validation of the ICF framework as a biopsychosocial recovery model and the use of this model in the development of effective recovery-oriented interventions for adults with SMI. Clinical and research implications are discussed.


2021 ◽  
Vol 10 (18) ◽  
pp. 4223
Author(s):  
Laura Nuño ◽  
Georgina Guilera ◽  
Emilio Rojo ◽  
Juana Gómez-Benito ◽  
Maite Barrios

An integrated and interdisciplinary care system for individuals with schizophrenia is essential, which implies the need for a tool that assesses the difficulties and contextual factors of relevance to their functioning, and facilitates coordinated working across the different professions involved in their care. The International Classification of Functioning, Disability and Health Core Sets (ICF-CS) cover these requirements. This study aimed to evaluate the content validity of the ICF-CSs for schizophrenia from the perspective of experts. Six three-round Delphi studies were conducted with expert panels from different professional backgrounds which have played a significant role in the treatment of individuals with schizophrenia (psychiatry, psychology, nursing, occupational therapy, social work and physiotherapy). In total, 790 experts from 85 different countries participated in the first round. In total, 90 ICF categories and 28 Personal factors reached expert consensus (reached consensus from four or more professional perspectives). All the categories in the brief version of the ICF-CS for schizophrenia reached consensus from all the professional perspectives considered. As for the comprehensive version, 89.7% of its categories reached expert consensus. The results support the worldwide content validity of the ICF-CSs for schizophrenia from an expert perspective and underline the importance of assessing functioning by considering all the components implied.


PM&R ◽  
2016 ◽  
Vol 8 (9) ◽  
pp. S287
Author(s):  
Elisabeth Fehrmann ◽  
Simone Kotulla ◽  
Thomas Kienbacher ◽  
Patrick Mair ◽  
Josef Kollmitzer ◽  
...  

2015 ◽  
Vol 29 (2) ◽  
pp. 153-164 ◽  
Author(s):  
Michael P. Frain ◽  
Malachy Bishop ◽  
Phillip D. Rumrill ◽  
Fong Chan ◽  
Timothy N. Tansey ◽  
...  

Multiple sclerosis (MS) is an unpredictable, sometimes progressive chronic illness affecting people in the prime of their working lives. This article reviews the effects of MS on employment based on the World Health Organization’s International Classification of Functioning, Disability and Health model. Correlations between employment and personal, functional, environmental, and participation factors are discussed along with the need for a framework for evidence-based practice regarding the employment of people with MS.


2021 ◽  
Vol 11 (9) ◽  
pp. 1187
Author(s):  
Bruno Bonnechère ◽  
Aki Rintala ◽  
Annemie Spooren ◽  
Ilse Lamers ◽  
Peter Feys

The development of mobile technology and mobile Internet offers new possibilities in rehabilitation and clinical assessment in a longitudinal perspective for multiple sclerosis management. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in people with multiple sclerosis (pwMS) is currently unclear. Therefore, this review aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). In total, 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and six for self-assessment, representing 3091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy, we found a small but significant effect of the use of mHealth for cognitive training (Standardized Mean Difference (SMD) = 0.28 [0.12; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the other ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.


Author(s):  
Chenchen Yang ◽  
Elias Mpofu ◽  
Xiaoli Li ◽  
Diana Dorstyn ◽  
Qiwei Li ◽  
...  

Abstract Objective: Physical activity (PA) is a known benefit to older adults with diabetes; however, the determinants of PA are less well studied in this population. Applying the World Health Organization’s International Classification of Functioning, Disability and Health (ICF), a well-established biopsychosocial framework, we explored PA participation among older adult with type 2 diabetes. Method: Using data from the Health and Retirement Study and the RAND Center for the Study of Aging (N = 2,016; mean age = 73.19; SD = 6.16), we conducted hierarchical stepwise regression analysis to evaluate the relative contribution of different biopsychosocial predictors to PA – namely, body functions and structure, activity and participation, personal, and environmental factors. Results: Altogether, biopsychosocial factors accounted for 20% of the variance in PA participation. Of the personal factors, high extraversion and low neuroticism explained approximately 54% of the variance in PA among the older adults – beyond sociodemographics. Low body mass index, reduced pain, reduced depression, and higher cognitive functioning also had good explanatory power (25% of explained variance), whereas activity participation and environment did not (10% each). Conclusion: Aligning care with components of the ICF will help to ensure a focus on person-centric practices and, in turn, optimize participation outcomes such as PA.


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