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Rehabilitation Dataset Directory: Dataset Profile

Dataset: ACCESS Wheelchair Provision and Disability Inclusion Project, El Salvador, India, Kenya, Nicaragua, Romania, 2014-2017 ()

Basic Information
Dataset Full Name ACCESS Wheelchair Provision and Disability Inclusion Project, El Salvador, India, Kenya, Nicaragua, Romania, 2014-2017
Dataset Acronym
Summary

These data are compiled from a five-country United States Agency for International Development (USAID)-funded wheelchair provision and disability inclusion project known as ACCESS (Accelerating Core Competencies for Effective Wheelchair Service and Support). In this project, World Vision 1) partnered with wheelchair technical experts and service providers to provide wheelchairs through the World Health Organization (WHO) 8 Steps and 2) worked to ensure social inclusion of wheelchair users. The data includes information related to referral screening, client assessment, product provision or improvement, as well as a pre- and post-social inclusion scale.


Survey data collected included: age, gender, employment, education, participation in community groups, health insurance or financial assistance, the reason(s) a wheelchair is needed, social inclusion, assessment and prescription of assistive device(s). Follow-up data include type of wheelchair and modifications provided, maintenance or repairs provided (wheelchair service records), wait time for wheelchair receipt, if the wheelchair user felt they were treated respectfully and received adequate training and repair skills.
Key Terms

Assistive Devices, Health Care Services, Quality of Life, Employment, Community participation, Health insurance, Social inclusion, Assistive devices, Wheelchair type, Wheelchair modifications, Wheelchair repair/maintenance, International Society of Wheelchair Professionals (ISWP), Repair training
Study Design Longitudinal
Data Type(s) Administrative
Survey
Sponsoring Agency/Entity

United States Agency for International Development
Health Conditions/Disability Measures
Health Condition(s)

NA
Disability Measures

Ambulatory disability, Special equipment use/assistive technology (wheelchair), Mobility impairment
Measures/Outcomes of Interest
Topics

Referral screening, Clinical assessment, Social inclusion, Health insurance, Financial assistance, Reason(s) for wheelchair, Assessment and prescription of assistive device(s), Wheelchair type, Wheelchair modifications, Wheelchair service/maintenance, Wheelchair satisfaction, Impact on social participation, Service provider satisfaction
Sample
Sample Population

Children and Adults with disabilities in India, Kenya, Nicaragua, Romania, and El Salvador
Sample Size/Notes

Total n=9,628 

  • El Salvador n=1308
  • India n=2203
  • Kenya n=2188
  • Nicaragua n=1524
  • Romania n=2405
Unit of Observation

Individual
Continent(s)

Asia, Europe, Central America & Caribbean, Africa
Countries

Nicaragua, El Salvador, Kenya, Romania, India
Geographic Coverage

Nicaragua, Romania, El Salvador, Kenya, India
Geographic Specificity

State or Province
Special Population(s)

Wheelchair users
Data Collection
Data Collection Mode

In-person survey, Telephone survey
Years Collected

2014-2017
Data Collection Frequency

Annually
Strengths and Limitations
Strengths
  • Multi-national sample across five counties. 
  • A wide range of age groups
  • Comprehensive information about wheelchair use and assistive devices. 
  • Collects both baseline and endpoint data relating to social inclusion & participation.
Limitations
  • No objective measurements, self-reported information only.
  • Several outcome measures used cannot be directly compared with other studies, but are tailored to people with disabilities.
  • Inclusion scale data collected for most participants at baseline, but limited to about 25% at follow-up.
  • Sample is based on snowball referral method, potential for selection bias risk and limits generalizability
  • A significant number of variables are masked
Data Details
Primary Website

https://doi.org/10.3886/ICPSR37156.v1  
Data Access

https://doi.org/10.3886/ICPSR37156.v1
Data Access Requirements

Data Use agreement, No cost
Summary Tables/Reports

Codebooks can be downloaded here: 

https://www.icpsr.umich.edu/web/ADDEP/studies/37156/versions/V1/datadocumentation# 
Data Components
  • Client Intake Data
  • Client Referral Screening Data
  • Inclusion Scale Data
  • Wheelchair Service Record Data
Similar/Related Dataset(s)

Wheelchair Use and Services in Kenya and Philippines, 2014-2015

 

Impact of WHO's 8-step Wheelchair Service Provision in Indonesia, 2013-2014
Selected Papers
Other Papers

Accelerating Core Competencies for Effective Wheelchair Service and Support (ACCESS) Project: Evaluation of Access Project in Five Countries. Arlington, VA: JSI Research & Training Institute, Inc..

https://www.worldvision.org/wp-content/uploads/2017/12/ACCESS-Overall-Evaluation-FINAL-with-annexes.pdf

For other publications see:

https://www.icpsr.umich.edu/web/ADDEP/studies/37156/versions/V1/publications 
Technical

Data documentation:

https://www.icpsr.umich.edu/web/ADDEP/studies/37156/versions/V1/datadocumentation#

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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).

Other CLDR supported resources and collaborative opportunities:

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.

For questions or comments please contact disabilitystatistics@cornell.edu



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