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Dataset: Impact of WHO's 8-step Wheelchair Service Provision in Indonesia, 2013-2014 (WHO 8-Steps)

Basic Information
Dataset Full Name Impact of WHO's 8-step Wheelchair Service Provision in Indonesia, 2013-2014
Dataset Acronym WHO 8-Steps
Summary

The Impact of the World Health Organization's (WHO) 8-step Wheelchair Service Provision in Indonesia, 2013-2014 includes data collected in Indonesia by United Cerebral Palsy (UCP) Wheels for Humanity and the University of Pittsburgh. The purpose of the study was to investigate how wheelchairs provided to both adults and children with mobility impairments related to mobility, participation in society, quality of life, wheelchair skills, wheelchair maintenance, and satisfaction with mobility as compared to a control group.


The study used a convenience sample of  344 children and adults. Approximately half  had received a wheelchair and the remainder were on a waiting list to receive one (controls).  Interviews were conducted at baseline and a 6 month follow-up to collect the following data: Demographics and wheelchair use questions, the World Health Organization Quality of Life-BREF, Functional Mobility Assessment, Craig Handicap Assessment Recording Technique Short Form. A Wheelchair Assessment Checklist and Wheelchair Skills Test Questionnaire were administered at follow up.
Key Terms

Wheelchair, Assistive Devices, Health Care Services, Quality of Life, World Health Organization, WHO
Study Design Longitudinal
Data Type(s) Clinical
Survey
Sponsoring Agency/Entity

United States Agency for International Development

National Science Foundation (NSF)
Health Conditions/Disability Measures
Health Condition(s)

Amputation, Cerebral Palsy, Diabetes, Down syndrome, Multiple sclerosis (MS), Muscular Dystrophy (MD), Polio, Pressure sores, Spinal cord injury (SCI), Stroke, Traumatic brain injury (TBI)
Disability Measures

Special equipment use, Assistive technology, Ambulatory disability


Other disability related measures: Functional Mobility Assessment (FMA), Craig Handicap Assessment Recording Technique (CHART) Short Form, Wheelchair Assessment Checklist (WAC), Wheelchair Skills Test
Measures/Outcomes of Interest
Topics

Wheelchair skills, Wheelchair maintenance, Wheelchair technology, Wheelchair assessment, Quality of life, Functional mobility, Life satisfaction, Social participation/integration, Physical independence, Cognitive independence, Mobility, Employment, Economic self-sufficiency
Sample
Sample Population

A convenience sample in Indonesia of children  and adults who were on a waiting list to receive a wheelchair, as well as those who had received one 
Sample Size/Notes

n=344 at baseline*

Two types of participants were included:: 

  • n=167 were on a waiting list to receive a wheelchair
  • n=142 had received a wheelchair.

* 29 passed away before the completion of the study and 6 missing "Type of participant" information 
Unit of Observation

Individual
Continent(s)

Asia
Countries

Indonesia
Geographic Coverage

Indonesia
Geographic Specificity

District (note:values masked)
Special Population(s)

Wheelchair users
Data Collection
Data Collection Mode

Face-to-face interviews
Years Collected

2013-2014
Data Collection Frequency

Interviews were conducted at baseline and a 6 month follow-up
Strengths and Limitations
Strengths
  • Objective measurements with self-reported information
  • Comprehensive battery of assessments and surveys
  • Well documented including data collection instruments/tools
Limitations
  • Non-representative convenience sample, limiting generalizability and introducing selection bias risk 
  • Significant issues with variable missingness
  • Translations of instruments and responses could lead to data issues
  • The Wheelchair Assessment Checklist and Wheelchair Skills Test Questionnaire were only administered at follow up 
Data Details
Primary Website

https://doi.org/10.3886/ICPSR37093.v1 
Data Access

https://www.icpsr.umich.edu/web/ADDEP/studies/37093/versions/V1/datadocumentation 
Data Access Requirements

Data Use agreement, No cost


* Note: One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website. Users interested in obtaining these data 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

The impact of the World Health Organization 8-steps in wheelchair service provision in wheelchair users in a less resourced setting: a cohort study in Indonesia


See also the codebooks available here:

https://www.icpsr.umich.edu/web/ADDEP/studies/37093/versions/V1/datadocumentation
Data Components
  • Baseline
  • Baseline and Follow-up
  • Baseline and Follow-up 2
Similar/Related Dataset(s)

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

 

Wheelchair Use and Services in Kenya and Philippines, 2014-2015
Selected Papers
Other Papers

The impact of the World Health Organization 8-steps in wheelchair service provision in wheelchair users in a less resourced setting: a cohort study in Indonesia



Data related publications:
Technical

Documentation (User guide, Codebooks, Instruments) :

https://www.icpsr.umich.edu/web/ADDEP/studies/37093/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).

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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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