Understanding the impact of assistive technology on the lives of people who draw on care and support

A study examining the impacts of assistive technology using a capability-based framework, focusing on person-centred outcomes beyond device provision.

Key messages

  • assistive technology benefits extend beyond functional support to autonomy, safety, social participation and wellbeing
  • capability-based outcomes provide a broader understanding of how assistive technology supports people’s lives
  • person-centred evaluation moves beyond counting devices or hours of use
  • access barriers persist, including affordability, usability and lack of training
  • routine evaluation rarely captures the outcomes that matter most to users.

Policy implications

  • evaluation of assistive technology should incorporate capability-based outcome measures
  • commissioning approaches may need to prioritise user-defined outcomes rather than device provision
  • training and usability support are critical to realising the benefits of assistive technology
  • funding and access policies should address affordability to reduce exclusion.

Gaps

  • lack of standardised capability-based metrics in routine assistive technology evaluation
  • limited evidence on how capability outcomes vary across population groups
  • need for integration of capability measures into health and social care data systems.

Commentary

This paper reframes the use of technology in care by focusing on what assistive technology enables people to do and be, rather than on the devices themselves. By applying a capability-based approach, it highlights outcomes such as independence, safety and social participation that are often overlooked in standard evaluations.

From a care equity perspective, this shift is important. Measuring success through device provision alone risks masking unequal experiences, where some users are unable to benefit due to affordability, usability or lack of training.

The findings suggest that person-centred evaluation could support more equitable commissioning and service design. Understanding which capabilities are enhanced, and for whom, may help identify where assistive technology is failing to meet needs.

However, the study also highlights systemic limitations. Without standardised capability measures embedded in routine practice, these outcomes remain difficult to track or compare. Addressing this gap is essential if assistive technology is to contribute meaningfully to equitable care rather than reinforcing existing barriers.

Digital Exclusion Risk Index (DERI)

A public data tool and methodology designed to identify areas and populations at highest risk of digital exclusion to support targeted inclusion investment.

Key messages

  • Digital Exclusion Risk Index (DERI) is a composite index combining multiple indicators of digital exclusion risk
  • the tool supports identification of places and groups most likely to lack access, skills or connectivity
  • it is intended to inform targeting of devices, data and digital skills support
  • the index can be used by integrated care systems and local authorities
  • publishing metrics enables transparency and accountability in digital inclusion work.

Policy implications

  • digital inclusion investment can be targeted more effectively using place-based risk data
  • routine publication of digital exclusion metrics supports equitable resource allocation
  • Integrated Care Systems (ICSs) and local authorities can integrate DERI into needs’ assessment and planning
  • data-led approaches may help align digital strategies with wider inequality priorities.

Gaps

  • the index does not directly measure health or social care outcomes
  • risk indicators rely on available public data, which may lag behind change
  • further work is needed to link exclusion risk to service use and outcomes.

Commentary
The Digital Exclusion Risk Index (DERI) provides a practical way to make digital exclusion visible at place level. By combining multiple indicators into a single framework, it enables decision-makers to move beyond assumptions and identify where exclusion is most likely to affect access to services.

In the context of technology-enabled care, this kind of tool supports more deliberate targeting of support. Rather than distributing resources evenly or reactively, DERI allows local systems to prioritise areas where lack of access, skills or connectivity is most acute.

The emphasis on publishing metrics is particularly important. Making digital exclusion risk transparent creates a basis for accountability and supports alignment between digital strategies and wider work on inequality across health and social care.

Overall, DERI shows how data infrastructure can underpin more equitable use of technology in care. Its value lies not in replacing local knowledge, but in strengthening the evidence base for place-based action on digital inclusion.

Digital technology in mental health care

A review examining the impact of digital technologies in UK secondary mental health care, with a focus on innovation, data use and co-produced digital tools.

Key messages

  • digital technologies are increasingly used in secondary mental health care settings
  • co-production with people who experience chronic mental health conditions is essential to effective digital design
  • digital tools offer opportunities to improve understanding, monitoring and sharing of mental health data
  • innovation is occurring unevenly across services
  • evidence on effectiveness and long-term impact remains limited.

Policy implications

  • digital mental health tools should be co-produced with service users
  • secondary care services need support to evaluate digital interventions robustly
  • data governance and information-sharing arrangements are central to safe digital innovation
  • implementation should proceed cautiously alongside ongoing evaluation.

Gaps

  • lack of long-term outcome studies in secondary mental health care
  • small sample sizes limit generalisability
  • limited consideration of multiple protected characteristics
  • insufficient evidence on equity impacts of digital mental health tools.

Commentary
This paper highlights both the promise and the uncertainty surrounding digital technologies in mental health care. While new tools offer opportunities to enhance data sharing and clinical insight, their success depends heavily on alignment with service users’ needs and experiences.

A recurring theme is the importance of co-production. Digital tools designed without meaningful involvement of people living with mental health conditions risk being poorly adopted or misaligned with real-world care. This is particularly relevant in secondary care, where needs are often complex and long term.

At the same time, the review points to a thin evidence base. Small studies and short follow-up periods make it difficult to judge whether digital interventions improve outcomes or simply add complexity to already stretched services.

Overall, the paper suggests that digital innovation in secondary mental health care should prioritise learning and evaluation over rapid scale-up. Careful design, inclusive involvement and longer-term evidence are needed if technology is to strengthen care without introducing new forms of exclusion or risk.

Video consultations between care homes and health and social care professionals

A scoping review and interview study examining the use of video consultation technology between care homes and health and social care professionals during the COVID-19 pandemic.

Key messages

  • video consultations were rapidly adopted in care homes during the COVID-19 pandemic
  • uptake was shaped by organisational readiness, infrastructure and staff confidence
  • care homes faced challenges managing resident data on digital platforms
  • social care staff often lacked access to advanced digital systems compared with healthcare professionals
  • Variation in digital experience influenced the effectiveness of video consultations

Policy implications

  • care homes require equitable access to digital infrastructure and platforms
  • training and support for care home staff are essential for effective technology use
  • digital systems should be designed to reflect care home workflows and data needs
  • integration between health and social care digital platforms could improve coordination.

Gaps

  • limited inclusion of care home residents’ perspectives
  • care home staff views were underrepresented compared with healthcare professionals
  • findings are context-specific and not generalisable across all care settings
  • limited evidence on longer-term use beyond the pandemic period.

Commentary
This study captures how video consultation technology was introduced into care homes under pandemic conditions. It shows that while video consultations offered a way to maintain clinical input, their effectiveness depended heavily on infrastructure, staff capacity and organisational support.

Differences in digital capability between health and social care organisations were particularly evident. Care home staff often had fewer tools and less access to integrated systems, making coordination more complex and increasing reliance on workarounds.

In terms of care equity, the study highlights how unequal digital investment across sectors can shape access to care for residents. Where care homes lacked robust platforms or support, residents were less able to benefit from remote clinical input. This unevenness risks creating a two-tier experience of technology-enabled care based on setting rather than need.

Overall, the findings suggest that technology use in care homes must be informed by the experiences of both staff and residents. Without addressing structural gaps in digital capability across social care, video consultation risks reinforcing existing inequalities rather than improving access and quality of care.

The impact of digitalisation of GP services on minoritised ethnic communities

A study examining how the shift to digital primary care affects access for minoritised ethnic communities, highlighting digital exclusion, language barriers and structural inequities.

Key statistics 

  • the study is based on interviews with 100 adults from minoritised ethnic communities across four UK locations 
  • 20% of participants were aged over 65 and 60% were female 
  • participants represented a range of ethnic groups including Bangladeshi (23%), Black African (21%), Pakistani (17%), Indian (13%), Black Caribbean (12%) and Chinese (9%) 
  • participants reported wide variation in digital access, from high competency to complete non-use of the internet 

Key messages 

  • digitalisation of primary care can replicate and worsen existing barriers for minoritised ethnic communities 
  • digital exclusion is driven by limited access to devices, poor internet connectivity and low digital literacy 
  • language barriers remain a major obstacle, with most GP platforms only available in English 
  • some GP staff lack cultural competence and resources to effectively support ethnically diverse populations 
  • reliance on informal interpreters reduces privacy and can delay access to care 
  • women in multi-generational households often carry a disproportionate burden managing digital access to care 
  • over-reliance on digital tools and limitations in clinical training on different skin tones can contribute to misdiagnosis or delayed treatment 
  • concerns about data privacy and confidentiality can deter engagement with digital GP services 

Policy implications 

  • develop inclusive digital primary care systems that account for digital access, literacy and device limitations 
  • embed language support and translation options within GP platforms and services 
  • provide training for health professionals on cultural competence and anti-racist practice 
  • maintain non-digital access routes to avoid excluding people unable to use online systems 
  • design digital services with input from minoritised ethnic communities to reflect real needs 
  • improve data governance transparency to build trust in digital health systems 

Gaps 

  • the study focuses on qualitative experiences and does not quantify the scale of exclusion across the wider population 
  • limited exploration of how digital exclusion varies across different regions beyond the selected case sites 
  • does not examine long-term health outcomes associated with digital exclusion 
  • limited focus on how policy changes could be implemented in practice across the NHS 
  • further research is needed on how digital solutions can reduce rather than reinforce inequities 

Commentary 

This study explores how the move towards digital GP services is affecting people from minoritised ethnic communities in the UK. It shows that while digital systems are intended to improve access, they can create new barriers for people who already face disadvantages. 

Many participants described what the authors call “digital precarity”. This includes not having reliable internet, lacking suitable devices, or not having the skills to use online systems. For some people living on low incomes or in temporary housing, even downloading GP apps or maintaining mobile data was difficult. 

Language is another major issue. Most GP apps and online systems are only available in English, which makes it difficult for people who are not confident in reading or writing English. Some rely on family members or friends to help, which can reduce privacy and delay care. 

The study also highlights how care responsibilities are unevenly distributed. Women in multi-generational households often manage multiple GP accounts for children, parents and relatives. This creates additional pressure and can slow down access to services. 

There are also concerns about how digital systems are used in clinical care. Some participants reported that sending photos or describing symptoms online did not work well for people with darker skin tones. This reflects wider gaps in clinical training and risks delaying diagnosis or treatment. 

From a health and social care equity perspective, the findings show how digital transformation can widen existing inequities if systems are not designed inclusively. People who face barriers related to income, language, ethnicity or housing are more likely to be excluded from digital services. 

Overall, the study highlights that improving access is not only about introducing new technology. It requires designing services around the needs of different groups, maintaining alternative access routes, and addressing structural inequities that affect how people engage with care. 

The impact of digitalisation on mental health care

A review exploring how digital technologies are transforming mental health care, including their potential to improve access alongside barriers related to workforce readiness, trust, and unequal access to digital resources.

Key statistics 

  • between 38% and 78% of people with severe mental health conditions report seeking mental health information online 
  • 90% of UK households had internet access at the time of the study 
  • smartphone ownership among UK adults increased from 52% to 85% over a five-year period 
     

Key messages 

  • digital technologies are increasingly used for mental health support, including self-monitoring, online information seeking and remote interventions 
  • co-production with clinicians, frontline staff and people with lived experience is important to design tools that are relevant and usable 
  • digital tools can improve access to support, particularly for people who may not engage with face-to-face services 
  • there are significant barriers to adoption, including lack of staff training, limited digital literacy and unequal access to technology 
  • concerns about data privacy, confidentiality and how information is used can reduce trust in digital platforms 
  • some staff and service users are concerned that digital tools may weaken therapeutic relationships or replace face-to-face care 
  • digital interventions are developing faster than the evidence base, creating challenges for evaluation and implementation 

Policy implications 

  • invest in digital infrastructure and training across the health and social care workforce 
  • embed co-production approaches in the design and implementation of digital mental health tools 
  • develop clear governance frameworks for data security, privacy and ethical use of digital health data 
  • ensure digital tools are used to complement, not replace, face-to-face care where needed 
  • address digital exclusion by improving access to devices, internet connectivity and digital skills support 
  • support ongoing evaluation of digital interventions to ensure they are effective and safe 

Gaps 

  • limited high-quality evidence on long-term effectiveness of many digital mental health interventions 
  • digital tools are often developed without a clear theoretical framework explaining how they work 
  • lack of consistent evaluation methods, with traditional trials often too slow for rapidly evolving technologies 
  • limited research on how digital approaches affect therapeutic relationships and care quality over time 
  • insufficient focus on how digital exclusion affects access for different population groups 

Commentary 
This paper looks at how digital technology is changing mental health care. It shows that more people are using the internet and smartphones to find information, track their symptoms and access support. For some people, this can make it easier to get help, especially if they feel uncomfortable with face-to-face services or live in areas with limited provision. 

However, access to digital care is not equal. While many people now use the internet regularly, not everyone has the same level of access, confidence or skills. Some people may not have reliable internet or devices, while others may struggle to use digital tools. This creates a risk that digital approaches could widen existing inequities if they are not designed and implemented carefully. 

The paper also highlights concerns from staff and service users. Some worry that digital tools could reduce human contact or be used as a cheaper alternative to proper care. Others are concerned about how personal data is collected and used. These concerns can affect trust and willingness to engage with digital services. 

Another key issue is the gap between how quickly digital tools are being developed and how slowly they are evaluated. Many tools are introduced before there is strong evidence on how well they work or who they work best for. This makes it harder for services to know which tools to adopt. 

From a health and social care equity perspective, digital technology has both potential and risk. It can improve access by reaching people in their everyday lives and offering flexible support. At the same time, if issues like digital exclusion, workforce readiness and trust are not addressed, it may reinforce existing inequities. 

Overall, the paper suggests that digital mental health care should be developed alongside, not instead of, wider investment in services and support. A balanced approach is needed so that technology improves access without reducing the quality or equity of care.