Birgit Prodinger1, Alarcos Cieza2, Cornelia Oberhauser3, Jerome Bickenbach4, Tevfik Bedirhan Üstün5, Somnath Chatterji6, Gerold Stucki4. 1. Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland; ICF Research Branch, a cooperation partner within the World Health Organization Collaborating Centre for the Family of International Classifications in Germany (at Deutsches Institu für Medizinische Dokumentation und Information), Nottwil, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland. Electronic address: birgit.prodinger@paraplegie.ch. 2. Swiss Paraplegic Research, Nottwil, Switzerland; Faculty of Social and Human Sciences, School of Psychology, University of Southampton, Highfield Campus, Southampton, United Kingdom; Department of Medical Informatics, Biometry and Epidemiology (IBE), Chair for Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig Maximilian University of Munich, Munich, Germany. 3. Department of Medical Informatics, Biometry and Epidemiology (IBE), Chair for Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig Maximilian University of Munich, Munich, Germany. 4. Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland; ICF Research Branch, a cooperation partner within the World Health Organization Collaborating Centre for the Family of International Classifications in Germany (at Deutsches Institu für Medizinische Dokumentation und Information), Nottwil, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland. 5. Classification, Standards and Terminology, World Health Organization, Geneva, Switzerland. 6. Department of Health Statistics and Information Systems, World Health Organization, Geneva, Switzerland.
Abstract
OBJECTIVE: To develop a comprehensive set of the International Classification of Functioning, Disability and Health (ICF) categories as a minimal standard for reporting and assessing functioning and disability in clinical populations along the continuum of care. The specific aims were to specify the domains of functioning recommended for an ICF Rehabilitation Set and to identify a minimal set of environmental factors (EFs) to be used alongside the ICF Rehabilitation Set when describing disability across individuals and populations with various health conditions. DESIGN: Secondary analysis of existing data sets using regression methods (Random Forests and Group Lasso regression) and expert consultations. SETTING: Along the continuum of care, including acute, early postacute, and long-term and community rehabilitation settings. PARTICIPANTS: Persons (N=9863) with various health conditions participated in primary studies. The number of respondents for whom the dependent variable data were available and used in this analysis was 9264. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: For regression analyses, self-reported general health was used as a dependent variable. The ICF categories from the functioning component and the EF component were used as independent variables for the development of the ICF Rehabilitation Set and the minimal set of EFs, respectively. RESULTS: Thirty ICF categories to be complemented with 12 EFs were identified as relevant to the identified ICF sets. The ICF Rehabilitation Set constitutes of 9 ICF categories from the component body functions and 21 from the component activities and participation. The minimal set of EFs contains 12 categories spanning all chapters of the EF component of the ICF. CONCLUSIONS: The identified sets proposed serve as minimal generic sets of aspects of functioning in clinical populations for reporting data within and across heath conditions, time, clinical settings including rehabilitation, and countries. These sets present a reference framework for harmonizing existing information on disability across general and clinical populations.
OBJECTIVE: To develop a comprehensive set of the International Classification of Functioning, Disability and Health (ICF) categories as a minimal standard for reporting and assessing functioning and disability in clinical populations along the continuum of care. The specific aims were to specify the domains of functioning recommended for an ICF Rehabilitation Set and to identify a minimal set of environmental factors (EFs) to be used alongside the ICF Rehabilitation Set when describing disability across individuals and populations with various health conditions. DESIGN: Secondary analysis of existing data sets using regression methods (Random Forests and Group Lasso regression) and expert consultations. SETTING: Along the continuum of care, including acute, early postacute, and long-term and community rehabilitation settings. PARTICIPANTS: Persons (N=9863) with various health conditions participated in primary studies. The number of respondents for whom the dependent variable data were available and used in this analysis was 9264. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: For regression analyses, self-reported general health was used as a dependent variable. The ICF categories from the functioning component and the EF component were used as independent variables for the development of the ICF Rehabilitation Set and the minimal set of EFs, respectively. RESULTS: Thirty ICF categories to be complemented with 12 EFs were identified as relevant to the identified ICF sets. The ICF Rehabilitation Set constitutes of 9 ICF categories from the component body functions and 21 from the component activities and participation. The minimal set of EFs contains 12 categories spanning all chapters of the EF component of the ICF. CONCLUSIONS: The identified sets proposed serve as minimal generic sets of aspects of functioning in clinical populations for reporting data within and across heath conditions, time, clinical settings including rehabilitation, and countries. These sets present a reference framework for harmonizing existing information on disability across general and clinical populations.
Keywords:
Environment; Health; Health information systems; International Classification of Functioning, Disability and Health; Reference standards; Rehabilitation
Authors: Taina Ala-Nikkola; Sami Pirkola; Minna Kaila; Grigori Joffe; Raija Kontio; Olli Oranta; Minna Sadeniemi; Kristian Wahlbeck; Samuli I Saarni Journal: Int J Environ Res Public Health Date: 2018-05-31 Impact factor: 3.390
Authors: Verena Loidl; Cornelia Oberhauser; Carolina Ballert; Michaela Coenen; Alarcos Cieza; Carla Sabariego Journal: Int J Environ Res Public Health Date: 2016-04-12 Impact factor: 3.390