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Harmonising Assistive Technology Assessment Data: A Case Study in Nepal
Jamie Danemayer1, Ben Oldfrey1, Pratisthit Lal Shrestha2
1Global Disabilty Innovation Hub, University College London, UK.
Studies in Health Technology and Informatics
|August 28, 2023
Summary
Harmonizing assistive technology (AT) data from multiple surveys in Nepal created a unified dataset. This method allows for trend analysis to better understand and meet the evolving AT needs of diverse populations.
Area of Science:
- Public Health
- Data Science
- Disability Studies
Background:
- Understanding assistive technology (AT) needs in changing populations is crucial.
- Integrating disparate datasets can reveal new insights but requires data harmonization.
- Existing AT data often exists in separate, non-comparable surveys.
Purpose of the Study:
- To explore the potential of harmonizing assistive technology (AT) assessment data.
- To create a unified longitudinal dataset from multiple population-based surveys.
- To demonstrate a method for trend analysis of AT needs in dynamic populations.
Main Methods:
- Harmonized AT assessment data from three Nepal population-based surveys: Living Conditions of Persons with Disabilities (2014-2015), Multiple Indicator Cluster Survey (2019), and rapid Assistive Technology Assessment (2022).
- Integrated data from different years into a single longitudinal dataset.
- Developed a methodology for unifying disparate AT survey data.
Main Results:
- A harmonized dataset was successfully created from three distinct AT surveys.
- The harmonized dataset enables trend analysis for monitoring AT needs.
- The approach demonstrated the value of situating disparate datasets.
Conclusions:
- Data harmonization is a valuable method for integrating multiple AT surveys.
- The demonstrated methodology can be applied in other settings for AT needs assessment.
- Further validation of the proposed harmonization methodology is recommended.
