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Development of a smart home suitability indicator and indicative self-assessment platform for the disabled facilities grants (DFGs)

Adekunle Sabitu Oyegoke (Department of Built Environment and Engineering, Leeds Beckett University, Leeds, UK)
Saheed Ajayi (Department of Built Environment and Engineering, Leeds Beckett University, Leeds, UK)
Muhammad Azeem Abbas (Leeds Beckett University, Leeds, UK) (Operations and Information Management Department, Aston University, Birmingham, UK)
Stephen Ogunlana (Leeds Beckett University, Leeds, UK) (Heriot Watt University, Edinburgh, UK)

International Journal of Building Pathology and Adaptation

ISSN: 2398-4708

Article publication date: 13 February 2024

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Abstract

Purpose

Delay in housing adaptation is a major problem, especially in assessing if homes are suitable for the occupants and in determining if the occupants are qualified for the Disabled Facilities Grant (DFG). This paper describes the development of two self-administered intelligent integrated assessment tools from the DFG Adapt-ABLE system: (1) The Home Suitability Assessment Platform, which is a preventive mechanism that allows assessment of the suitability of homes based on occupants’ mobility status and (2) an indicative assessment platform that determines if the applicants are qualified for the DFG to prevent lengthy delays.

Design/methodology/approach

The adopted method aligned with a development study approach: a grounded literature review, a severity measurement approach, two stakeholder engagement workshops, four brainstorming sessions and four focus group exercises. The system development relied on Entity–Relationship Diagram (ERD) technique for data structures and database systems design. It uses DFG context sensitivity with alignment with DFG guidance, interlinkages and interoperability between the assessment tools and other platforms of the integrated Adapt-ABLE system.

Findings

The assessment tools are client-level outcomes related to accessibility, usability and activity based on the assessment process. The home suitability platform shows the percentage of the suitability of a home with assessment results that suggest appropriate action plans based on individual mobility status. The indicative assessment combines the function of referral, allocation, assessment and test of resources into an integrated platform. This enables timely assessment, decision-making and case-escalation by Occupational Therapists based on needs criteria and the eligibility threshold.

Originality/value

These assessment tools are useful for understanding occupants’ perception of their physical housing environment in terms of accessibility, suitability and usability based on basic activities of daily living and their mobility status. The indicative self-assessment tool will substantially cut down the application journey. The developed tools have been recommended for use in the CSJ Disability Commission report and the UK government Guidance on DFGs for local authorities in England.

Keywords

Acknowledgements

The authors would like to thank Innovate UK for funding the project (funding number 42085). The authors would like to thank all the project partners and numerous organisations that participated in this research and development of the platforms.

Since submission of this article, the following author(s) have updated their affiliations: Stephen Ogunlana is at the Elim Project Systems Limited, Edinburgh, UK.

Citation

Oyegoke, A.S., Ajayi, S., Abbas, M.A. and Ogunlana, S. (2024), "Development of a smart home suitability indicator and indicative self-assessment platform for the disabled facilities grants (DFGs)", International Journal of Building Pathology and Adaptation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJBPA-03-2023-0026

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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