Understanding ethnic inequalities in the design and implementation of digital health interventions for cardiometabolic disease: a qualitative study

Lancet. 2023 Nov:402 Suppl 1:S78. doi: 10.1016/S0140-6736(23)02130-X.

Abstract

Background: The use of digital health interventions (DHIs), such as apps and wearable devices, for prevention and management of cardiometabolic disease, has been accelerated by the impact of COVID-19 on health-care services. Digital inequalities disproportionately affect those most at risk of wider health inequalities (e.g., older age, minority ethnicity, and lower household income) and might intersect with populations with higher cardiometabolic disease risk such as South Asians in the UK. We wanted to understand how those involved in DHI implementation perceive and address these inequalities, to help develop recommendations to reduce the risk of DHI implementation exacerbating existing health inequalities.

Methods: For this qualitative study we used a purposive sampling strategy, whereby focus groups and semi-structured interviews were done online between April 7 and Dec 8, 2022, with stakeholders, including health-care professionals (n=15); technology developers and digital experts (n=10); those in strategy, evaluation, or policy roles (n=15); and charities (n=4). Discussions covered barriers and facilitators to inclusive design and implementation of DHIs, with focus dependent on expertise. Findings from a qualitative study with South Asian patients have been reported separately. Audio recordings were transcribed and coded using reflexive thematic analysis. Participants provided written consent and the study received NHS Health Research Authority approval from London - Brent Research Ethics Committee (IRAS 261047).

Findings: Participants had a good understanding of barriers to DHI use for cardiometabolic disease faced by South Asians, highlighting the need to design for language, culture, and diet. Many emphasised the link between digital exclusion and socioeconomic deprivation, across all ethnic groups in the UK. The potential for DHIs in improving patient outcomes was recognised; however, equity concerns included unequal patient access, lack of data and resources to target support, and need for quality evidence to recommend and commission digital tools. A range of solutions for improving equity were suggested such as resourcing support for digital upskilling, community engagement, and the role of regulation in embedding improved design and evaluation of DHIs available through health-care services.

Interpretation: This study reflects the experiences of professionals interested in (digital) health inequalities. However, challenges to equitable digital health implementation and use are well described. Our findings present multi-sectoral responsibilities and opportunities for action.

Funding: National Institute for Health and Care Research (NIHR).

MeSH terms

  • Asian People
  • Cardiovascular Diseases* / ethnology
  • Cardiovascular Diseases* / prevention & control
  • Digital Health* / ethics
  • Ethnicity
  • Healthcare Disparities* / ethnology
  • Humans
  • Metabolic Syndrome* / ethnology
  • Metabolic Syndrome* / prevention & control
  • Minority Groups
  • Qualitative Research