Predicting Recovery in Individuals With Serious Mental Illness: Expanding the International Classification of Functioning, Disability, and Health (ICF) Framework

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.

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.


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

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.


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.


2017 ◽  
Vol 37 (3) ◽  
pp. 132-140 ◽  
Author(s):  
Joke De Pauw ◽  
Kevin van der Velden ◽  
Reen Cox ◽  
Steven Truijen ◽  
Patrick Cras ◽  
...  

Cervical Dystonia (CD) is a rare movement disorder characterized by an abnormal head position. This cross-sectional study describes the health status and severity of disability using an internationally agreed language by applying the International Classification of Functioning, Disability and Health (ICF). Two disease-specific rating scales were administered to 30 patients with CD. By linking the individual answers to the ICF model, the frequency and severity of reported impairments and restrictions were estimated using a count-based method. Results showed that patients most frequently reported impairments linked to “neuromusculoskeletal and movement-related functions” and “mental functions.” Most restrictions in activities were related to “interpersonal interactions and relations,” “major life areas,” and “community, social, and civic life.” One third of the reported impairments can be labeled as severe disability. The findings show that CD causes disability in multiple levels of a patients’ functioning in life, well beyond the cervical area.


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