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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Functional Independence in Children at a Pediatric Clinic in Guanajuato, Mexico, 2004-2013 ()
Basic Information | |
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Dataset Full Name | Functional Independence in Children at a Pediatric Clinic in Guanajuato, Mexico, 2004-2013 |
Dataset Acronym | |
Summary | This study sought to evaluate the functional independence in children at a Centers for Pediatric Rehabilitation Teleton (CRIT) facility in Guanajuato, Mexico through the use of the Functional Independence Measure Instrument (WeeFIM) for children (0-3 Module). WeeFIM is an easily administered scale for assessing independence across 3 domains based on a conceptual framework by the World Health Organization of pathology, impairment, disability and handicap, and the “burden of care.” The objective of the study is to compare the characteristics of children who use assistive technology (AT) specifically: wheelchairs, walkers, prosthetics and orthotics, with children who do not use AT. The dataset was generated from electronic health records in May 2013 for secondary analysis of de-identified data. The goal of CRIT was to improve social integration for children with disabilities in Mexico through comprehensive rehabilitation services, including physical therapy, occupational therapy, neurotherapy, speech therapy, physical and rehabilitation medicine, psychology, social integration, and school for parents. Researchers also sought to determine what factors were related to the functional independence of children with disabilities. |
Key Terms | Assisted Living, Assistive Devices, Children, Cognition, Functional independence Physical Disabilities, Program Evaluation, Rehabilitation Programs |
Study Design | Cross-Sectional |
Data Type(s) |
Administrative Clinical |
Sponsoring Agency/Entity | The Benter Foundation |
Health Conditions/Disability Measures |
Health Condition(s) | Masked by ICPSR |
Disability Measures | WeeFIM is an 18-item, 7-level ordinal scale instrument that measures a child’s consistent performance in essential daily functional skills. Three main domains (self-care, mobility, and cognition) are assessed by interviewing or by observing a child’s performance of a task to criterion standards. The WeeFIM instrument utilizes a 7-level ordinal scale:
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Measures/Outcomes of Interest |
Topics | Assistive devices, Outpatient Rehabilitation services, Social engagement and mental health, Effects of socioeconomic disparities on health, Functional Independence |
Sample |
Sample Population | Cross-sectional, convenience sample of patients at a pediatric rehabilitation facility in Guanajuato, Mexico. |
Sample Size/Notes | n=2,651 |
Unit of Observation | Individual/Patient |
Continent(s) | Central America & Caribbean |
Countries | Mexico |
Geographic Coverage | Guanajuato, Mexico |
Geographic Specificity | NA |
Special Population(s) | Children/Youth |
Data Collection |
Data Collection Mode | Record Abstracts |
Years Collected | 2013 |
Data Collection Frequency | WeeFIM evaluations occurred 1-3 times (median age of 3.10 at first evaluation and 5.68 years old at final evaluation) |
Strengths and Limitations |
Strengths |
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Limitations |
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Data Details |
Primary Website | |
Data Access | |
Data Access Requirements | Access to the data is restricted. Users must complete a Restricted Data Use Agreement, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research. |
Summary Tables/Reports | https://www.icpsr.umich.edu/web/ADDEP/studies/37068/versions/V1/variables |
Data Components | NA |
Selected Papers |
Other Papers | Evaluation of Factors That Impact Functional Independence in Children at a Pediatric Clinic in Mexico https://onlinelibrary.wiley.com/doi/10.1016/j.pmrj.2014.08.057 ICPSR publication links: |
Technical | Documentation: https://www.icpsr.umich.edu/web/ADDEP/studies/37068/versions/V1/datadocumentation |
Related Repositories |
Repositories |
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
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