Model of care to promote recovery in older people with long COVID: findings from interviews and a co-design workshop

Objectives This study aimed to co-design a tailored model of care for older people with long COVID. Design Using a human-centred design approach, semistructured interviews were conducted with patients and health professionals from a long COVID service to explore their experiences. Insights were further developed during a co-design workshop involving patients, health professionals and community members who identified as older people and who had experience with chronic illness. Key themes were identified and used to map an ideal patient journey and inform the final model of care. Setting Long COVID outpatient service in a tertiary hospital in Adelaide, South Australia. Participants Four patients and four health professionals participated in the interviews. The workshop included four patients, five health professionals and seven community members. Results The co-design process identified challenges experienced by people with long COVID, including lack of validation, delayed multidisciplinary care, mental health deterioration and difficulties navigating the healthcare system. These challenges were described as having particular relevance for older adults. In response, a model of care was developed focused on comprehensive assessment, coordinated multidisciplinary care, education for self-management, mental health support and opportunities for research participation. Conclusions A comprehensive and adaptable model of care is needed to address the complex and multifaceted nature of long COVID. This human-centred design approach ensured the model was grounded in lived experience, clinically informed and aligned with patient priorities. While not unique to older adults, the findings highlight areas that may require particular attention in this population, including care coordination, validation and support for comorbidities and social vulnerabilities. While developed in a single tertiary service, these principles may inform the design of services for similar populations in other healthcare settings.