Zhang, Jinbao, Prunty, Jonathan E., Charles, Alison, Forder, Julien E. (2024) Association between digital front doors and social care use for community-dwelling adults in England: cross-sectional study. In: China Health Policy and Management Society (CHPAMS) Annual Conference 2024. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:113736)
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Abstract
Background:
Requests for public social care support can be made through an online portal. These digital “front doors” can help people navigate complex social care systems and access services. These systems can be set up in different ways, but there is little evidence about the impact of alternative arrangements. Digital front-door systems should help people better access services, particularly low-intensity services (high-intensity care is likely to require a full in-person assessment).
Objective:
This study aimed to investigate the association between 2 primary digital front door arrangements, easy-read information, and self-assessment tools provided on official websites, and the type of social care support that is offered: ongoing low-level support (OLLS), short-term care (STC) and long-term care (LTC).
Methods:
Information on front door arrangements was collected from the official websites of 152 English local authorities in 2021. We conducted a cross-sectional analysis using aggregated service use data from official government returns at the local authority level. The independent variables were derived from the policy information collected, specifically focusing on the availability of online digital easy-read information and self-assessment tools for adults and caregivers through official websites. The dependent variables were the rates of using social care support, including OLLS, STC, and LTC, across different age groups: the adult population (aged 18 and older), younger population (aged between 18 and 64 years), and older population (aged 65 and older). Multivariate regression analysis was used to examine the association between digital front door arrangements and access to social care support, controlling for population size, dependency level, and financial need factors.
Results:
Less than 20% (27/147) of local authorities provided an integrated digital easy-read format as part of their digital front door system with about 25% (37/147) adopting digital self-assessment within their system. We found that local authorities that offered an integrated digital easy-read information format showed higher rates of using OLLS (β coefficient=0.54; P=.03; but no statistically significant association with LTC and STC). The provision of an online self-assessment system was not associated with service use in the 1-year (2021) cross-sectional estimate, but when 2 years (2020 and 2021) of service-use data were analyzed, a significant positive association was found on OLLS rates (β coefficient=0.41; P=.21). Notably, these findings were consistent across different age groups.
Conclusions:
These findings are consistent with our hypothesis that digital systems with built-in easy-read and self-assessment may make access to (low-intensity) services easier for people. Adoption of these arrangements could potentially help increase the uptake of support among those who are eligible, with expected benefits for their care-related well-being. Given the limited adoption of the digital front door by local authorities in England, expanding their use could improve care-related outcomes and save social care costs.
| Item Type: | Conference proceeding |
|---|---|
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare > HV1568 Disability studies |
| Institutional Unit: |
Schools > School of Social Sciences Schools > School of Social Sciences > Care and Outcomes Research Centre |
| Former Institutional Unit: |
There are no former institutional units.
|
| Funders: | National Institute for Health Research (https://ror.org/0187kwz08) |
| Depositing User: | Jinbao Zhang |
| Date Deposited: | 09 Apr 2026 11:18 UTC |
| Last Modified: | 15 Apr 2026 14:32 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/113736 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-2354-9288
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